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Objectives: To estimate the rate of mechanical thromboprophylaxis (mTP) prescription among critically ill adolescents using a multicenter administrative database and determine whether mTP prescription is inversely associated with hospital-acquired venous thromboembolism., Design: Multicenter, observational, retrospective study of the Pediatric Health Information Systems (PHIS) Registry cohort, January 2016 to December 2023., Setting: Thirty PICUs located within quaternary pediatric referral centers in the United States., Patients: Critically ill children 12-17 years old, excluding encounters with a principal diagnosis at admission of venous thromboembolism., Interventions: mTP prescription within the first 24 hours of hospitalization., Measurements and Main Results: A total of 107,804 children met the study criteria, of which 21,124 (19.6%) were prescribed mTP. Hospital center prescribing rates ranged from 1.4% to 65.4% and decreased by 1.6% per year from 28.2% in 2016 to 17.1% in 2023. As compared with those without mTP, those with mTP more frequently had a concurrent central venous catheter (17.2% vs. 9.4%, p < 0.001), underwent invasive mechanical ventilation (37.4% vs. 24.8%, p < 0.001), were admitted for a primary surgical indication (30.9% vs. 12.7%, p < 0.001), and experienced a longer median duration of hospitalization (7 [interquartile range (IQR): 4-15] vs. 4 [IQR: 2-9] d, p < 0.001). Hospital-acquired venous thromboembolism occurred in 2.7% of the study sample and was more common among those with, as compared with without, prescription of mTP (4% vs. 2.4%, p < 0.001). In multivariable logistic regression models for hospital-acquired venous thromboembolism adjusting for salient prothrombotic risk factors, we failed to identify an association between mTP and greater odds of hospital-acquired venous thromboembolism (HA-VTE) among low-, moderate-, and high-risk tiers. However, we cannot exclude the possibility of 17-50% greater odds of HA-VTE in this population., Conclusions: In the multicenter PHIS cohort, 2016-2023, the prescribing patterns for mTP among critically ill adolescents showed a low rate of mTP prescription (19.6%) that varied widely across institutions, decreased annually over the study period by 1.6%/year, and was not independently associated with HA-VTE risk reduction., Competing Interests: Drs. Betensky and Sochet received support for article research from the National Institutes of Health. Dr. Goldenberg’s institution received funding from Boehringer-Ingelheim, Bayer, Johnson & Johnson, CPC Clinical Research, Novartis, and Anthos Therapeutics. The remaining authors have disclosed that they do not have any potential conflicts of interest., (Copyright © 2024 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.)

Background: Health information systems (HIS) are vital in supporting all aspects of managing health systems, financing, policymaking, and service delivery. A package of priority HIS interventions was piloted in selected woredas across all regions in Ethiopia. This study examined the impact of HIS interventions on maternal and child health (MCH) service utilization., Methods: A 2-arm quasi-experimental study was implemented in intervention and control woredas. Baseline and endline household and health facility surveys were conducted for both arms in 2020 and 2022, respectively. At baseline, 3,016 mothers and 167 health facilities were surveyed. At endline, 3,076 mothers and 160 health facilities were surveyed. The study used modified Performance of Routine Information System Management tools for the facility survey and a structured questionnaire for the household survey. Difference-in-difference (DID) analysis using mixed effect modeling was employed to measure changes and to account for clustering and control for likely confounders., Results: Intervention sites showed greater improvements in 75% of key HIS performance indicators. The changes in 90% of the MCH service utilization indicators were higher in the intervention sites. Significant (DID: P <.05) changes were observed in indicators including quality of antenatal care, skilled birth attendance, delivery at a health facility, family planning met need and unmet need, measles and second dose of rotavirus vaccination, and Vitamin A supplementation. BCG vaccination showed significantly higher improvement in the control sites. Other key indicators did not show significant changes., Conclusions: In many of the MCH service utilization indicators, the changes in the intervention sites were significantly higher compared to the control sites, but it was not universal. Scale-up of performance monitoring teams is crucial because it is one of the key pathways that links HIS performance with MCH service utilization. Outcome indicators that showed no or lower improvement require in-depth investigation., (© Worku et al.)

Purpose: This study aims to explore demographic disparities, regional and institutional variations, surgical timing, narcotic use, and management trends in neonatal brachial plexus palsy (NBPP) patients due to limited published literature., Methods: We conducted a retrospective cohort study using the Pediatric Health Information System (PHIS) database of NBPP patients who underwent surgery within the first 2 years of life. Patients were stratified into two groups based on age at surgery: ≤ 8 months and > 8 months., Results: A total of 788 patients were identified, with a mean surgical age of 8.1 months. Black patients were disproportionately affected (29%), over twice their national birth rate (14%). Narcotic use was more common in younger patients (63% vs. 53%, p = 0.003), as well as in those treated in the West (71%, p = 0.001) and Northeast (73%, p = 0.004), and by plastic (74%, p < 0.0001) or orthopedic surgeons (69%, p = 0.002). Patients prescribed narcotics had longer hospital stays (1.7 vs. 1.2 days, p < 0.0001) and higher complication rates (7.9% vs. 3.1%, p = 0.009). Narcotic use decreased significantly over the study period (p = 0.002). Short-term outcomes, including complication and readmission rates, were similar across the three primary surgical specialties (plastic, orthopedic, and neurosurgery). High-volume centers had lower complication rates (1.5% vs. 5.4%, p = 0.002) and ICU admissions (5.8% vs. 18%, p < 0.0001) compared to medium-volume centers., Conclusion: While narcotic use was associated with longer stays and complications, short-term outcomes were consistent across specialties. Standardized care protocols may help improve patient outcomes., Competing Interests: Declarations. Ethics approval: This retrospective chart review study involving human participants was in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The Human Investigation Committee (IRB) of Johns Hopkins All Children’s Hospital approved this study (JHACH: IRB00302738). Informed consent: Informed consent for information published in this article was not obtained due to its retrospective database design. Competing interests: The authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Introduction: Health information systems play a crucial role in the delivery of efficient and effective healthcare. Poor usability is one of the reasons for their lack of acceptance and low usage by users. The aim of this study was to identify the usability problems of a national comprehensive health information system using the concurrent think-aloud method in the recording of childcare data., Methods: A descriptive cross-sectional study was conducted in the health centers of Kashan University of Medical Sciences, Iran, in 2020. Ten healthcare providers as system's users were purposively selected to evaluate the system. To identify problems, a concurrent think-aloud evaluation was conducted. Two administrators of the system designed scenarios for ten childcare data recording tasks. By analysing the recorded files, usability problems were identified. The severity of the problems was then determined with the help of the users and problems were assigned to usability attributes based on their impact on the user., Results: A total of 68 unique problems were identified in the system, of which 47.1% were rated as catastrophic problems. The participants assigned 47 problems (69%) to the user satisfaction attribute and 45 problems (66%) to the efficiency attribute; they also did not assign any problems to the effectiveness attribute., Conclusion: The problems identified in the national comprehensive health information system using the think-aloud method were rated as major and catastrophic, which indicates poor usability of this system. Therefore, resolving the system problems will help increase user satisfaction and system efficiency, allowing more time to be spent on patient care and parent's education as well as improving overall quality of care., Competing Interests: Declarations Ethics approval and consent to participate This study was part of a M.S. thesis in the field of health information management which was approved by the Ethics Committee of Kashan University of Medical Sciences (IR.KAUMS.MEDNT.REC. 1396.6). In accordance with the opinion of the Ethics Committee mentioned above and given the fact that no information about participants is provided in this paper, participants who participated in this study gave informed verbal consent to participate in this research. Consent for publication Not applicable. Competing interests The authors declare no competing interests., (© 2024. The Author(s).)

(1) Background: With the increasing digitalization of healthcare systems, data security and privacy have become crucial issues. In parallel, blockchain technology has gradually proven to be an innovative solution to address this challenge, as its ability to provide an immutable and secure record of transactions offers significant promise for healthcare information management. This systematic review aims to explore the applications of blockchain in health information systems, highlighting its advantages and challenges. (2) Methods: The publications chosen to compose this review were collected from six databases, resulting in the initial identification of 4864 studies. Of these, 73 were selected for in-depth analysis. (3) Results: The main results show that blockchain has been used mainly in electronic health records (63%). Furthermore, it was used in the Internet of Medical Things (8.2%) and for data sharing during the COVID-19 pandemic (6.8%). As advantages, greater security, privacy, and data integrity were identified, while the challenges point to the need for standardization and regulatory issues. (4) Conclusions: Despite the difficulties encountered, blockchain has significant potential to improve healthcare data management. However, more research and continued collaboration between those involved are needed to maximize its benefits.

In the rapidly evolving landscape of information technologies, individuals and organizations must adapt to the digital age. Given the diversity in users' knowledge and experience with technology, their acceptance levels also vary. Over the past 30 years, various theoretical models have been introduced to provide a framework for understanding user acceptance of technology. Among these, the Technology Acceptance Model (TAM) stands out as a key theoretical framework, offering insights into why new technologies are either accepted or rejected. Analyzing user acceptance of technology has thus become a critical area of study. Healthcare organizations aim to assess the perceived efficacy and user-friendliness of a given technology. This will help health organisations design and implement HIS that meet users' needs and preferences. In this context, how does the TAM clarify the acceptance and use of Health Information Systems (HIS)? To address this inquiry, a comprehensive literature review will be carried out. The systematic review involved 29 studies issued between 2018 and 2023 and searched the databases Pubmed, Scopus, Wos and Ulakbim TR Index. The PRISMA flowchart was used to identify the included studies. According to the results, some variables stand out in the acceptance and utilisation of HIS. Among the users of HIS, it can be said that the results relating to nurses stand out. In particular, there are studies which emphasise that 'gender' is a crucial factor in explaining the models. Another crucial finding of the current systematic review is the need to train users in the acceptance and use of HIS., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

Data quality in health information systems (HIS) is essential for informed decision-making in the health sector, particularly in sub-Saharan Africa (SSA) where these systems face many challenges like resource limitations and weak infrastructure. This systematic review assessed the quality of HIS data in the region, focusing on the dimensions, and factors influencing this quality. It highlights the importance of systematic evaluation, ongoing training for data collectors in the analysis and use of data for decision-making, and the adoption of information and communication technologies in the healthcare system to improve data quality. These findings point the way to better use of health data and the need for a more integrated approach to digital health in SSA.

Background: Adolescents are a critical demographic facing unique health challenges who are further impacted in humanitarian settings. This article focuses on the urgent need for a structured health information system (HIS) to address the gaps in data availability and evidence-based interventions for adolescent health. The study aims to identify opportunities and challenges in utilizing the HIS to enhance adolescent health in the West Bank by gathering insights from healthcare providers., Methods: Semi-structured key informant interviews were conducted with participants involved in the HIS regarding adolescent health in the West Bank. They were selected by purposive sampling. Nineteen interviews were conducted between July and October 2022, and thematic analysis was carried out using MAXQDA software., Results: The opportunities identified were the small-scale victories the participants described in building the HIS for adolescent health. These included institutional and individual capacity building, digitalizing parts of the HIS, connection fragmentation of adolescent health activities, multi-sectoral collaboration, reorienting services based on health information, working with limited resources, enhancing community engagement to encourage ownership and active participation, and taking strategic actions for adolescents for information. The challenges were the high workload of staff, lack of health information specialists, limited resources, lack of a unified system in data collection, lack of data on essential indicators, data quality, data sharing, and data sources and use., Conclusion: This study showed the potential of the HIS with capacity building, digitization, and collaborative initiatives; it also suffers from issues like staff shortages, non-standardized data collection, and insufficient data for essential indicators. To maximize the impact of the HIS, urgent attention to staff shortages through comprehensive training programs, standardization of data collection systems, and development of a unified core indicator list for adolescent health is recommended. Embracing these measures will allow the HIS to provide evidence-based adolescent health programs, even in resource-constrained and complex humanitarian settings., Competing Interests: The authors declared that no competing interests exist., (Copyright: © 2024 Shalash et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: Routine health information systems (RHISs) are an essential source of data to inform decisions and actions around health facility performance, but RHIS data use is often limited in low and middle-income country contexts. Determinants that influence RHIS data-informed decisions and actions are not well understood, and few studies have explored the relationship between RHIS data-informed decisions and actions., Methods: This qualitative thematic analysis study explored the determinants and characteristics of successful RHIS data-informed actions at the health facility level in Mozambique and which determinants were influenced by the Integrated District Evidence to Action (IDEAs) strategy. Two rounds of qualitative data were collected in 2019 and 2020 through 27 in-depth interviews and 7 focus group discussions with provincial, district and health facility-level managers and frontline health workers who participated in the IDEAs enhanced audit and feedback strategy. The Performance of Routine Information System Management-Act framework guided the development of the data collection tools and thematic analysis., Results: Key behavioural determinants of translating RHIS data into action included health worker understanding and awareness of health facility performance indicators coupled with health worker sense of ownership and responsibility to improve health facility performance. Supervision, on-the-job support and availability of financial and human resources were highlighted as essential organisational determinants in the development and implementation of action plans. The forum to regularly meet as a group to review, discuss and monitor health facility performance was emphasised as a critical determinant by study participants., Conclusion: Future data-to-action interventions and research should consider contextually feasible ways to support health facility and district managers to hold regular meetings to review, discuss and monitor health facility performance as a way to promote translation of RHIS data to action., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

The health sector is highly digitized, which is enabling the collection of vast quantities of electronic data about health and well-being. These data are collected by a diverse array of information and communication technologies, including systems used by health care organizations, consumer and community sources such as information collected on the web, and passively collected data from technologies such as wearables and devices. Understanding the breadth of IT that collect these data and how it can be actioned is a challenge for the significant portion of the digital health workforce that interact with health data as part of their duties but are not for informatics experts. This viewpoint aims to present a taxonomy categorizing common information and communication technologies that collect electronic data. An initial classification of key information systems collecting electronic health data was undertaken via a rapid review of the literature. Subsequently, a purposeful search of the scholarly and gray literature was undertaken to extract key information about the systems within each category to generate definitions of the systems and describe the strengths and limitations of these systems., (©Anna Janssen, Candice Donnelly, Tim Shaw. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 31.05.2024.)

Introduction: Healthcare-based Internet of Things (Healthcare-IoT) is a turning point in the development of health information systems. This emerging trend significantly contributes to enhancing users' awareness of their health, ultimately leading to an extension in life expectancy. Security and privacy are among the greatest challenges for H-IoT systems. To establish complete safety and security in these systems, the implementation of mandatory security requirements is imperative. For this reason, this study identifies the necessary security requirements for H-IoT systems using a Meta-Synthesis approach., Methods: Initially, following the Seven-Stage Sandelowski & Barroso approach, the existing literature was searched in the Scopus and Web of Science databases. Among the 844 extracted articles from the period of 2010 to 2020, 78 final articles were reviewed and analyzed, leading to the identification of 51 security requirements. Subsequently, to assess the quality of the identified requirements and their overlap, interviews were conducted with two experts., Results: Finally, 14 security requirements, predominantly with technical and quantitative aspects, were identified for designing a Healthcare-IoT system and implementing security mechanisms., Conclusion: The findings of this study emphasize that addressing the identified 14 security requirements is crucial for safeguarding Healthcare-IoT systems and ensuring their robustness in the evolving health information landscape., Competing Interests: Declaration of Competing Interest The authors wish to disclose that they have no financial conflicts of interest or personal affiliations that might be perceived to have influenced the research findings presented in this paper., (Copyright © 2024. Published by Elsevier B.V.)

Background: Community-based health information systems (CBISs) can provide critical insights into how community health systems function, and digitized CBISs may improve the quality of community-level data and facilitate integration and use of CBISs within the broader health system. This scoping review aims to understand how CBISs have been implemented, integrated, and used to support community health outcomes in low- and middle-income countries (LMICs)., Methods: Both peer-reviewed and gray literature were included; relevant articles were identified using key terms and controlled vocabulary related to community/primary health care, health information systems, digital health, and LMICs. A total of 11,611 total records were identified from 5 databases and the gray literature. After deduplication, 6,985 peer-reviewed/gray literature were screened, and 95 articles/reports were included, reporting on 105 CBIS implementations across 38 countries., Results: Findings show that 55% of CBISs included some level of digitization, with just 28% being fully digitized (for data collection and reporting). Data flow from the community level into the health system varied, with digitized CBISs more likely to reach national-level integration. National-level integration was primarily seen among vertical CBISs. Data quality challenges were present in both paper-based and digitized CBISs, exacerbated by fragmentation of the community health landscape with often parallel reporting systems. CBIS data use was constrained to mostly vertical and digitized (partially or fully) CBISs at national/subnational levels., Conclusion: Digitization can play a pivotal role in strengthening CBIS use, but findings demonstrate that CBISs are only as effective as the community health systems they are embedded within. Community-level data are often not being integrated into national/subnational health information systems, undermining the ability to understand what the community health needs are. Furthermore, stronger investments within community health systems need to be in place broadly to reduce fragmentation and provide stronger infrastructural and systemic support to the community health workforce., (© Pandya et al.)

Introduction: an effective health information system (HIS) ensures the production, analysis, dissemination and use of reliable and up-to-date information on the determinants of health. However, it can encounter obstacles that hinder its functioning, such as armed conflicts, which limit access and quality of healthcare services. The purpose of our study was to help improve data management for routine health information system in the health district of Timbuktu during a security crisis., Methods: we conducted a descriptive cross-sectional study, among health information management professionals in the Timbuktu Health District from 15 April to 08 September 2023. Data obtained from a survey questionnaire were analyzed using Epi Info version 7.2.2. and processed using Microsoft Word and Excel 2016., Results: a total of 6 health facilities were surveyed. Data collection, analysis and feedback were very poor. Data quality was 100% complete, 92.40% prompt and 68.11% accurate. The major constraints were: low involvement of health workers in the SIS (22.22%), insufficient training on the SISR (29.63%), supervision (47.06%), internet inaccessibility (66.67%), feeling of insecurity (37.04%) and fear (61.76%) in health facilities., Conclusion: our results show low-level processes, poor network coverage, shortage of qualified health information management professionals and increasing insecurity. A broader mixed-methods research would provide a better understanding., Competing Interests: Les auteurs ne déclarent aucun conflit d'intérêts., (Copyright: Bocar Mahamane Traore et al.)

Objectives: To compare the differences in antibiotic use between COPD and non-COPD residents, and to explore the effect of COPD on antibiotic use., Methods: Participants aged 40 years old or over from the Songjiang Adult Cohort were included. Information on prescription and baseline survey was collected based on the health information system. A logit-negative binomial Hurdle model was used to explore correlations between COPD and percentage of antibiotic use and average rate of antibiotic prescribing of different types of antibiotic. Multinomial logistic regression was used to assess the association between COPD and antimicrobial combination therapy and routes of administration., Results: A total of 34576 individuals were included and 1594 (4.6%) were COPD patients. During the 6 years' follow-up, the percentage of antibiotic use for COPD patients was 98.4%, which was 7.88 (95%CI: 5.24-11.85) times of that for non-COPD patients after adjusting for potential confounders. The prescribing rate was 3220 prescriptions (95%CI: 3063.6-3385.2) per 1000 person-years for COPD patients, which was 1.96 (95%CI: 1.87-2.06) times of that for non-COPD patients. Other beta-lactam antibacterials, Macrolides, lincosamides and streptogramins, and quinolone antibacterials were the most commonly used types of antibiotic. Except for aminoglycoside antibacterials, both percentage of antibiotic use and rate of antibiotic prescription were increased in COPD patients. COPD patients were more likely to be prescribed a maximum of two antibiotics (OR=1.34, 95%CI: 1.20-1.50); and were more likely to use antibiotics intravenously (OR=2.77, 95%CI: 2.47-3.11)., Conclusion: COPD patients were more likely to have increased antibiotic use in a large-scale population-based adult cohort, suggesting COPD patients are a high-priority group for the management of antibiotic use in communities., (© The Author(s) 2024. Published by Oxford University Press on behalf of British Society for Antimicrobial Chemotherapy. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Complex socio-technical health information systems (HIS) issues can create new error risks. Therefore, we evaluated the management of HIS-related errors using the proposed human, organization, process, and technology-fit framework to identify the lessons learned. Qualitative case study methodology through observation, interview, and document analysis was conducted at a 1000-bed Japanese specialist teaching hospital. Effective management of HIS-related errors was attributable to many socio-technical factors including continuous improvement, safety culture, strong management and leadership, effective communication, preventive and corrective mechanisms, an incident reporting system, and closed feedback loops. Enablers of medication errors include system sophistication and process factors like workarounds, variance, clinical workload, slips and mistakes, and miscommunication. The case management effectiveness in handling the HIS-related errors can guide other clinical settings. The potential of HIS to minimize errors can be achieved through continual, systematic, and structured evaluation. The case study validated the applicability of the proposed evaluation framework that can be applied flexibly according to study contexts to inform HIS stakeholders in decision-making. The comprehensive and specific measures of the proposed framework and approach can be a useful guide for evaluating complex HIS-related errors. Leaner and fitter socio-technical components of HIS can yield safer system use., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: IT has brought remarkable change in bridging the digital gap in resource-constrained regions and advancing the health care system worldwide. Community-based information systems and mobile apps have been extensively developed and deployed to quantify and support health services delivered by community health workers. The success and failure of a digital health information system depends on whether and how it is used. Ethiopia is scaling up its electronic community health information system (eCHIS) to support the work of health extension workers (HEWs). For successful implementation, more evidence was required about the factors that may affect the willingness of HEWs to use the eCHIS., Objective: This study aimed to assess HEWs' intentions to use the eCHIS for health data management and service provision., Methods: A cross-sectional study design was conducted among 456 HEWs in 6 pilot districts of the Central Gondar zone, Northwest Ethiopia. A Unified Theory of Acceptance and Use of Technology model was used to investigate HEWs' intention to use the eCHIS. Data were cleaned, entered into Epi-data (version 4.02; EpiData Association), and exported to SPSS (version 26; IBM Corp) for analysis using the AMOS 23 Structural Equation Model. The statistical significance of dependent and independent variables in the model was reported using a 95% CI with a corresponding P value of <.05., Results: A total of 456 HEWs participated in the study, with a response rate of 99%. The mean age of the study participants was 28 (SD 4.8) years. Our study revealed that about 179 (39.3%; 95% CI 34.7%-43.9%) participants intended to use the eCHIS for community health data generation, use, and service provision. Effort expectancy (β=0.256; P=.007), self-expectancy (β=0.096; P=.04), social influence (β=0.203; P=.02), and hedonic motivation (β=0.217; P=.03) were significantly associated with HEWs' intention to use the eCHIS., Conclusions: HEWs need to be computer literate and understand their role with the eCHIS. Ensuring that the system is easy and enjoyable for them to use is important for implementation and effective health data management., (©Tesfahun Hailemariam, Asmamaw Atnafu, Lemma Gezie, Jens Kaasbøll, Jorn Klein, Binyam Tilahun. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 04.03.2024.)

This ecological study of time trends and multiple groups evaluated incompleteness in the race/colour field of Brazilian health information system records and the related time trend, 2009-2018, for the diseases and disorders most prevalent in the black population. The Romero and Cunha (2006) classification was applied in order to examine incompleteness using secondary data from Brazil's National Notifiable Diseases System, Hospital Information System and Mortality Information System, by administrative regions of Brazil, while percentage underreporting and time trend were calculated using simple linear regression models with Prais-Winsten correction (p-value<0.05). All records scored poorly except those for mortality from external causes (excellent), tuberculosis (good) and infant mortality (fair). An overall downward trend was observed in percentage incompleteness. Analysis by region found highest mean incompleteness in the North (30.5%), Northeast (33.3%) and Midwest (33.0%) regions. The Southeast and Northeast regions showed the strongest downward trends. The findings intended to increase visibility on the implications of the race/color field for health equity.

Ensuring the security and usability of electronic health records (EHRs) is important in health information exchange (HIE) systems that handle healthcare records. This study addressed the need to balance privacy preserving and data usability in blockchain-based HIE systems. We propose a searchable blockchain-based HIE system that enhances privacy preserving while improving data usability. The proposed methodology includes users collecting healthcare information (HI) from various Internet of Medical Things (IoMT) devices and compiling this information into EHR blocks for sharing on a blockchain network. This approach allows participants to search and utilize specific health data within the blockchain effectively. The results demonstrate that the proposed system mitigates the issues of traditional HIE systems by providing secure and user-friendly access to EHRs. The proposed searchable blockchain-based HIE system resolves the trade-off dilemma in HIE by achieving a balance between security and the data usability of EHRs.

Background: Use of local data for health system planning and decision-making in maternal, newborn and child health services is limited in low-income and middle-income countries, despite decentralisation and advances in data gathering. An improved culture of data-sharing and collaborative planning is needed. The Data-Informed Platform for Health is a system-strengthening strategy which promotes structured decision-making by district health officials using local data. Here, we describe implementation including process evaluation at district level in Ethiopia, and evaluation through a cluster-randomised trial., Methods: We supported district health teams in 4-month cycles of data-driven decision-making by: (a) defining problems using a health system framework; (b) reviewing data; (c) considering possible solutions; (d) value-based prioritising; and (e) a consultative process to develop, commit to and follow up on action plans. 12 districts were randomly selected from 24 in the North Shewa zone of Ethiopia between October 2020 and June 2022. The remaining districts formed the trial's comparison arm. Outcomes included health information system performance and governance of data-driven decision-making. Analysis was conducted using difference-in-differences., Results: 58 4-month cycles were implemented, four or five in each district. Each focused on a health service delivery challenge at district level. Administrators' practice of, and competence in, data-driven decision-making showed a net increase of 77% (95% CI: 40%, 114%) in the regularity of monthly reviews of service performance, and 48% (95% CI: 9%, 87%) in data-based feedback to health facilities. Statistically significant improvement was also found in administrators' use of information to appraise services. Qualitative findings also suggested that district health staff reported enhanced data use and collaborative decision-making., Conclusions: This study generated robust evidence that 20 months' implementation of the Data-Informed Platform for Health strengthened health management through better data use and appraisal practices, systemised problem analysis to follow up on action points and improved stakeholder engagement., Trial Registration Number: NCT05310682., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: A lack of information during an emergency visit leads to the experience of powerlessness for patients and their family members, who may also feel unprepared to cope with acute symptoms. The ever-changing nature and fast-paced workflow in the emergency department (ED) often affect how health care professionals can tailor information and communication to the needs of the patient., Objective: This study aimed to evaluate the usability and experience of a newly developed information system. The system was developed together with patients and their family members to help provide the information needed in the ED., Methods: We conducted a mixed methods study consisting of quantitative data obtained from the System Usability Scale questionnaire and qualitative interview data obtained from purposively selected participants included in the quantitative part of the study., Results: A total of 106 patients and 14 family members (N=120) answered the questionnaire. A total of 10 patients and 3 family members participated in the interviews. Based on the System Usability Scale score, the information system was rated close to excellent, with a mean score of 83.6 (SD 12.8). Most of the participants found the information system easy to use and would like to use it again. The participants reported that the system helped them feel in control, and the information was useful. Simplifications were needed to improve the user experience for the older individuals., Conclusions: This study demonstrates that the usability of the information system is rated close to excellent. It was perceived to be useful as it enabled understanding and predictability of the patient's trajectory in the ED. Areas for improvement include making the system more usable by older individuals. The study provides an example of how a technological solution can be used to diminish the information gap in an ED context., (©Christina Østervang, Charlotte Myhre Jensen, Elisabeth Coyne, Karin B Dieperink, Annmarie Lassen. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 21.02.2024.)

Competing Interests: Intérêts concurrents: Alun Ackery est directeur médical provincial de l’organisme de soins de santé CritiCall Ontario. Aucun autre intérêt concurrent n’a été déclaré.

Background: South Africa set a target to eliminate malaria by 2023, with KwaZulu-Natal (KZN) Province the malaria-endemic province closest to achieving this goal. Objective two of the National Malaria Elimination Strategic Plan (NMESP) focused on strengthening surveillance systems to support the country's elimination efforts. Regular evaluations of the malaria surveillance systems against the targets of the NMESP objective are crucial in improving their performance and impact. This study aimed to assess whether the malaria surveillance system in KwaZulu-Natal Province meets the NMESP surveillance objective and goals., Methods: A mixed-methods cross-sectional study design was used to evaluate the malaria surveillance system, focusing on the District Health Information System 2 (DHIS2). The study assessed the data quality, timeliness, simplicity, and acceptability of the system. Key personnel from KZN's Provincial malaria control programme were interviewed using self-administered questionnaires to evaluate their perception of the system's simplicity and acceptability. Malaria case data from January 2016 to December 2020 were extracted from the DHIS2 and evaluated for data quality and timeliness., Results: The survey respondents generally found the DHIS2-based surveillance system acceptable (79%, 11/14) and easy to use (71%, 10/14), stating that they could readily find, extract, and share data (64%, 9/14). Overall data quality was good (88.9%), although some variables needed for case classification had low completeness and data availability. However, case notifications were not timely, with only 61% (2 622/4 329) of cases notified within 24 h of diagnosis. During the 5-year study period, the DHIS2 captured 4 333 malaria cases. The majority of cases (81%, 3 489/4 330) were categorized as imported, and predominately in males (67%, 2 914/4 333)., Conclusion: While the malaria surveillance system in KZN Province largely met the NMESP surveillance strategic goals, it failed to achieve the overarching surveillance objective of 100% notification of cases within 24 h of diagnosis. The majority of reported cases in KZN Province were classified as imported, emphasizing the importance of complete data for accurate case classification. Engaging with healthcare professionals responsible for case notification and disseminating aggregated data back to them is needed to encourage and improve notification timeliness., (© 2024. The Author(s).)

Objective: To characterize national experience with surgical aortic valve repair in pediatric patients., Methods: Patients in the Pediatric Health Information System database aged 17 years or younger with International Statistical Classification of Diseases and Related Health Problems codes for open aortic valve repair from 2003 to 2022 were included (n = 5582). Outcomes of reintervention during index admission (repeat repair, n = 54; replacement, n = 48; and endovascular intervention, n = 1), readmission (n = 2176), and in-hospital mortality (n = 178) were compared. A logistic regression was performed for in-hospital mortality., Results: One-quarter (26%) of patients were infants. The majority (61%) were boys. Heart failure was present in 16% of patients, congenital heart disease in 73%, and rheumatic disease in 4%. Valve disease was insufficiency in 22% of patients, stenosis in 29%, and mixed in 15%. The highest quartile of centers by volume (median, 101 cases; interquartile range, 55-155 cases) performed half (n = 2768) of cases. Infants had the highest prevalence of reintervention (3%; P < .001), readmission (53%; P < .001), and in-hospital mortality (10%; P < .001). Previously hospitalized patients (median, 6 days; interquartile range, 4-13 days) were at higher risk for reintervention (4%; P < .001), readmission (55%; P < .001), and in-hospital mortality (11%; P < .001), as were patients with heart failure (reintervention [6%; P < .001], readmission [42%; P = .050], and in-hospital mortality [10%; P < .001]). Stenosis was associated with reduced reintervention (1%; P < .001) and readmission (35%; P = .002). The median number of readmissions was 1 (range, 0-6) and time to readmission was 28 days (interquartile range, 7-125 days). A regression of in-hospital mortality identified heart failure (odds ratio, 3.05; 95% CI, 1.59-5.49), inpatient status (odds ratio, 2.40; 95% CI, 1.19-4.82), and infancy (odds ratio, 5.70; 95% CI, 2.60-12.46) as significant., Conclusions: The Pediatric Health Information System cohort demonstrated success with aortic valve repair; however, early mortality remains high in infants, hospitalized patients, and patients with heart failure., (Copyright © 2023 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.)

Competing Interests: Conflict of Interest Statement The authors reported no conflicts of interest. The Journal policy requires editors and reviewers to disclose conflicts of interest and to decline handling manuscripts for which they may have a conflict of interest. The editors and reviewers of this article have no conflicts of interest.

Background: Children admitted to the pediatric intensive care unit (PICU), after liver transplantation, frequently require analgesia and sedation in the immediate postoperative period. Our objective was to assess trends and variations in sedation and analgesia used in this cohort., Methods: Multicenter retrospective cohort study using the Pediatric Health Information System from 2012 to 2022., Results: During the study period, 3963 patients with liver transplantation were admitted to the PICU from 32 US children's hospitals with a median age of 2 years [IQR: 0.00, 10.00]. 54 percent of patients received mechanical ventilation (MV). Compared with patients without MV, those with MV were more likely to receive morphine (57% vs 49%, p < .001), fentanyl (57% vs 44%), midazolam (45% vs 31%), lorazepam (39% vs. 24%), dexmedetomidine (38% vs 30%), and ketamine (25% vs 12%), all p < .001. Vasopressor usage was also higher in MV patients (22% vs. 35%, p < .001). During the study period, there was an increasing trend in the utilization of dexmedetomidine and ketamine, but the use of benzodiazepine decreased (p < .001)., Conclusion: About 50% of patients who undergo liver transplant are placed on MV in the PICU postoperatively and receive a greater amount of benzodiazepines in comparison with those without MV. The overall utilization of dexmedetomidine and ketamine was more frequent, whereas the administration of benzodiazepines was less during the study period. Pediatric intensivists have a distinctive opportunity to collaborate with the liver transplant team to develop comprehensive guidelines for sedation and analgesia, aimed at enhancing the quality of care provided to these patients., (© 2023 Wiley Periodicals LLC.)

Objective: Physicians and clinicians rely on data contained in electronic health records (EHRs), as recorded by health information technology (HIT), to make informed decisions about their patients. The reliability of HIT systems in this regard is critical to patient safety. Consequently, better tools are needed to monitor the performance of HIT systems for potential hazards that could compromise the collected EHRs, which in turn could affect patient safety. In this paper, we propose a new framework for detecting anomalies in EHRs using sequence of clinical events. This new framework, EHR-Bidirectional Encoder Representations from Transformers (BERT), is motivated by the gaps in the existing deep-learning related methods, including high false negatives, sub-optimal accuracy, higher computational cost, and the risk of information loss. EHR-BERT is an innovative framework rooted in the BERT architecture, meticulously tailored to navigate the hurdles in the contemporary BERT method; thus, enhancing anomaly detection in EHRs for healthcare applications., Methods: The EHR-BERT framework was designed using the Sequential Masked Token Prediction (SMTP) method. This approach treats EHRs as natural language sentences and iteratively masks input tokens during both training and prediction stages. This method facilitates the learning of EHR sequence patterns in both directions for each event and identifies anomalies based on deviations from the normal execution models trained on EHR sequences., Results: Extensive experiments on large EHR datasets across various medical domains demonstrate that EHR-BERT markedly improves upon existing models. It significantly reduces the number of false positives and enhances the detection rate, thus bolstering the reliability of anomaly detection in electronic health records. This improvement is attributed to the model's ability to minimize information loss and maximize data utilization effectively., Conclusion: EHR-BERT showcases immense potential in decreasing medical errors related to anomalous clinical events, positioning itself as an indispensable asset for enhancing patient safety and the overall standard of healthcare services. The framework effectively overcomes the drawbacks of earlier models, making it a promising solution for healthcare professionals to ensure the reliability and quality of health data., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: In European Union countries, any disease affecting less than 5 people in 10,000 is considered rare. As expertise is scarce and rare diseases (RD) are complex, RD patients can remain undiagnosed for many years. The period of searching for a diagnosis, called diagnostic delay, sometimes leads to a diagnostic dead end when the patient's disease is impossible to diagnose after undergoing all available investigations. In recent years, extensive efforts have been made to support the implementation of ORPHA nomenclature in health information systems (HIS) so as to allow RD coding. Until recently, the nomenclature only encompassed codes for specific RD. Persons suffering from a suspected RD who could not be diagnosed even after full investigation, could not be coded with ORPHAcodes. The recognition of the RD status is necessary for patients, even if they do not have a precise diagnosis. It can facilitate reimbursement of care, be socially and psychologically empowering, and grant them access to scientific advances., Results: The RD-CODE project aimed at making those patients identifiable in HIS in order to produce crucial epidemiological data. Undiagnosed patients were defined as patients for whom no clinically-known disorder could be confirmed by an expert center after all reasonable efforts to obtain a diagnosis according to the state-of-the-art and diagnostic capabilities available. Three recommendations for the coding of undiagnosed RD patients were produced by a multi-stakeholder panel of experts: 1/ Capture the diagnostic ascertainment for all rare disease cases; 2/ Use the newly created ORPHAcode (ORPHA:616874 "Rare disorder without a determined diagnosis after full investigation"), available in the Orphanet nomenclature: as the code is new, guidelines are essential to ensure its correct and homogeneous use for undiagnosed patients' identification in Europe and beyond; 3/ Use additional descriptors in registries., Conclusions: The recommendations can now be implemented in HIS (electronic health records and/or registries) and could be a game-changer for patients, clinicians and researchers in the field, enabling assessment of the RD population, including undiagnosed patients, adaptation of policy measures including financing for care and research programs, and to improved access of undiagnosed patients to research programs., (© 2024. The Author(s).)

Procurement of health information systems (HIS) is a complex and critical task that requires early identification of interoperability requirements. However, specifying adequate requirements is often associated with several challenges. We examined relevant peer-reviewed literature and public documents (policy documents, annual reports, and newspapers) to summarize existing challenges in specifying interoperability requirement during procurement of HISs. In this study, 32 public documents and 2343 peer-reviewed articles were found using Google search engine, Springer, PubMed and ScienceDirect. Collected data were analyzed using a thematic coding schema. Our result shows that challenges related to describing the needs properly, conflicting needs and knowledge gaps are shared between most articles. Further research in the direction of developing a model that can bridge knowledge gaps, facilitate interdisciplinary collaboration, and help to avoid fuzzy requirements is needed.

MoCab is a framework that deploys high-accuracy medical models across various health information systems (HISs) using fast healthcare interoperability resources (FHIR). MoCab simplifies the process by importing and configuring stored models and retrieving data for prediction. Two case studies illustrate how MoCab can be used to support decision-making. The proposed framework increases model reusability across EHRs and improves the clinical decision-making process.

In this case series, we demonstrate how open-source software has been widely adopted as the primary health information system in many low- and middle-income countries, and for government-developed applications in high-income settings. We discuss the concept of Digital Global Goods and how the general approach of releasing software developed through public funding under open-source licences could improve the delivery of healthcare in all settings through increased transparency and collaboration as well as financial efficiency.

Background: The widespread availability of antiretroviral therapy has led to improvements in life expectancy and thus an increase in the number of people living with HIV/AIDS (PLWHA) worldwide. However, a similar increase in the number of newly-diagnosed patients in Cyprus suggests the need for solutions designed to improve monitoring, planning, and patient communication. In this study, we aimed to determine whether the use of an information system to manage PLWHA might contribute to improved quality of life and critical adherence to prescribed drug regimens and ongoing medical care., Methods: A randomized controlled trial study was conducted in Cyprus based on information that we collected using the highly valid and reliable Greek translation of the World Health Organization (WHO) Quality of Life (QOL) HIV-BREF questionnaire to assess sociodemographic variables and patient compliance. We distributed 200 questionnaires before implementing a Health Medical Care (HMC) information system at our clinic. Six months after implementing this system, 68 of the completed questionnaires were selected, including two groups of 34 participants who had been assigned at random to the intervention or the control group. Participants included PLWHA aged ≥ 18 years who had been receiving antiretroviral therapy for more than 12 months between July 15, 2020, and July 15, 2022., Results: The changes in baseline to six-month scores reported for the intervention group were significantly higher than in the control group in all six subscales assessed with the WHOQOL-HIV-BREF questionnaire, as well as in the assessment of compliance. Furthermore, compliance with treatment was associated with higher scores in the questionnaire subscales, including physical health, psychological health, degree of autonomy, social relationships, life circumstances, and spirituality/religious/personal beliefs. We also identified specific demographic factors and behaviors that were associated with better compliance with scheduled medical care and the prescribed drug regimen. Specifically, men exhibited better compliance than women and younger PLWHA exhibited better compliance than the elderly as did individuals who reported a higher level of educational attainment. Additionally, individuals who did not use addictive substances, consumed less alcohol, and were managed using the monitoring information system all exhibited better compliance compared to those in the control group., Conclusion: The results of this study suggest that management of PLWHA via the use of an information system can contribute to improved QOL and drug compliance., (© 2024. The Author(s).)

The replacement of the Primary Care Information System (SIAB, 1998-2015), as of January 2016, by the new Health Information System for Primary Care (SISAB) determined new forms of collecting, processing, and using information, with a possible impact on the records of activities carried out in primary health care in Brazil. This study aimed to evaluate the implementation impact of the new information system on records of physicians' and nurses' patient care and home visits of community health workers (CHW) in Brazil from 2007 to 2019. To this end, a Bayesian structural time-series model approach was used, based on a diffuse state-space regression. From 2016 to 2019, 463.47 million physician care, 210.61 million nursing care, and 1.28 billion CHW visits were recorded. Following the trend recorded before the implementation, 598.86 million, 430.46 million, and 1.5 billion physician and nursing appointments and CHW visits would be expected, respectively. In relative terms, there was a decrease of 25% in physician care, 51% in nursing care, and 15% in CHW visits when compared to the value expected by the Bayesian method. The negative impact on the records of patient care and home visits identified in this study, whether due to difficulties in adapting to the new system or a reduction in improper records, must be investigated so that the challenge of improving the primary care information system can be understood and overcome in a planned way.

The use of health information systems (HIS) can result in high workloads and, consequently, poor performance characterized by e.g. increased occurrence of errors among clinicians. Pupillometry offers a good possibility to measure mental workload in a dynamic work setting. Currently, there is a lack of empirical research in the context of healthcare settings. Therefore, the aim of the present study was to examine whether specific eye movement measures are suitable for measuring mental workload in the healthcare setting, especially when working with HIS. 49 persons participated in our simulation-lab study. They had to complete a system-related task as well as an increasing n-back task. Both tasks were modified regarding task difficulty. Results show significant differences for objective and subjective workload measures between increasing task levels. There are also hints for an overload/fatigue indicator in pupil data. Our results are limited in terms of external validity, causality and effects. Future work should focus on high-fidelity simulations and less time-consuming analysis approaches., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objectives: To determine changes in pediatric oncology hospitalizations requiring intensive care over the period 2012-2021., Design: Retrospective study of hospital admission., Setting: Registry data from 36 children's hospitals in the U.S. Pediatric Health Information Systems database., Patients: Children 18 years or younger admitted to any of 36 hospitals with an oncology diagnosis., Interventions: None., Measurements and Main Results: There were a total of 55,827 unique patients accounted for 281,221 pediatric oncology hospitalizations over the 10-year period, and 16.6% of hospitalizations included admission to the PICU. Hospitalizations and PICU admissions steadily increased over this decade. Between 2012 and 2016, 15.1% of oncology hospitalizations were admitted to the PICU compared with 18.0% from 2017 to 2021 (difference 2.9% [95% CI, 2.6-3.2%] p ≤ 0.0001). Support with invasive mechanical ventilation also increased over time with 3.7% during 2012-2016 compared with 4.1% from 2017 to 2021 (difference 0.4% [95% CI, 0.2-0.5%] p ≤ 0.0001). Similar results were seen with cardiorespiratory life support using extracorporeal membrane oxygenation (difference 0.05% [95% CI, 0.02-0.07%] p = 0.0002), multiple vasoactive agent use (difference 0.3% [95% CI, 0.2-0.4%] p < 0.0001), central line placement (difference 5.3% [95% CI, 5.1-5.6%], p < 0.001), and arterial line placement (difference 0.4% [95% CI, 0.3-0.4%], p < 0.001). Year-on-year case fatality rate was unchanged over time (1.3%), but admission to the PICU during the second 5 years, compared with the first 5 years, was associated with lower odds of mortality (difference 0.7% [95% CI, 0.3-1.1%]) (odds ratio 0.82 [95% CI, 0.75-0.90%] p < 0.001)., Conclusions: The percentage of pediatric oncology hospitalizations resulting in PICU admission has increased over the past 10 years. Despite the increasing use of PICU admission and markers of acuity, and on comparing 2017-2021 with 2012-2016, there are lower odds of mortality., (Copyright © 2023 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.)

Introduction: There is an unmet need for One Health (OH) surveillance and reporting systems for antimicrobial resistance (AMR) in resource poor settings. District health information system, version 2 (DHIS2), is a globally recognized digital surveillance platform which has not been widely utilized for AMR data yet. Our study aimed to understand the local stakeholders' viewpoints on DHIS2 as OH-AMR surveillance platform in Jimma, Ethiopia which will aid its further context specific establishment., Methods: We performed an exploratory qualitative study using semi-structured key informant interviews (KIIs) in Jimma Zone at Southwest Ethiopia. We interviewed 42 OH professionals between November 2020 and February 2021. Following verbatim transcription of the audio recordings of KIIs, we conducted thematic analysis., Results: We identified five major themes which are important for understanding the trajectory of OH-AMR surveillance in DHIS2 platform. The themes were: (1) Stakeholders' current knowledge on digital surveillance platforms including DHIS2. (2) Stakeholders' perception on digital surveillance platform including DHIS2. (3) Features suggested by stakeholders to be included in the surveillance platform. (4) Comments from stakeholders on system implementation challenges. (5) Stakeholders' perceived role in the process of implementation. Despite several barriers and challenges, most of the participants perceived and suggested DHIS2 as a suitable OH-AMR surveillance platform and were willing to contribute at their current professional roles., Conclusions: Our study demonstrates the potential of the DHIS2 as a user friendly and acceptable interoperable platform for OH-AMR surveillance if the technology designers accommodate the stakeholders' concerns. Piloting at local level and using performance appraisal tool in all OH disciplines should be the next step before proceeding to workable format., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)

Background: The electronic community health information system has been increasingly developed and deployed to quantify and support quality health service delivery by community health workers in Ethiopia. However, the success and failure of the electronic community health information system depend on the acceptability and use by its users. This study assessed the acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia., Methods: A retrospective cross-sectional observational study was conducted among 587 randomly selected health extension workers from six regions of Ethiopia. The Revised Technology Acceptance Model was used as a theoretical framework for the study. Descriptive statistics, structural equation modeling, and principal component analysis techniques were used to analyze the data. For all significance tests, multiple comparison adjustments were made using the Bonferroni Correction Method., Results: There was near universal acceptance of the electronic community health information system, ranging from 94.4 to 97.4% among health extension workers. However, actual use of the system was considerably lower, at 50%. Perceived usefulness of the electronic community health information system had a direct and positive effect on acceptability (β3 = 0.415, p < 0.001). Perceived ease of use had both direct and indirect positive effects on electronic community health information system acceptability (β2 = 0.340, p < 0.001 and β1*β3 = 0.289, p < 0.001, respectively), while acceptability had a direct and positive effect on the use of the electronic community health information system (β3 = 0.297, p < 0.001)., Conclusions: Despite the very high acceptability of the electronic community health information system among health extension workers, actual use of the system is considerably lower. Hence, an integrated and coordinated approach is required to close the acceptance-use gap., (© 2023. The Author(s).)

The study aims at exploring health system resilience by defining the scope on health information systems, one of the six building blocks of the health system. The empirical evidence is derived using qualitative data collection and analysis in the context of Norway, Sri Lanka and Rwanda during the COVID-19 pandemic. The case studies elicit bounce back and bounce forward properties as well as the agility as major attributes of resilience present across the countries. Existing local capacity, networking and collaborations, flexible digital platforms and enabling antecedent conditions are identified as socio-technical determinants of information system resilience based on the case studies across the countries., (© 2023. The Author(s).)

Background: The modified Blalock-Taussig-Thomas shunt is the gold standard palliation for securing pulmonary blood flow in infants with ductal-dependent pulmonary blood flow. Recently, the ductus arteriosus stent (DAS) has become a viable alternative., Methods and Results: This was a retrospective multicenter study of neonates ≤30 days undergoing DAS or Blalock-Taussig-Thomas shunt placement between January 1, 2017 and December 31, 2020 at hospitals reporting to the Pediatric Health Information Systems database. We performed generalized linear mixed-effects modeling to evaluate trends in intervention and intercenter variation, propensity score adjustment and inverse probability weighting with linear mixed-effects modeling to analyze length of stay and cost of hospitalization, and generalized linear mixed modeling to analyze differences in 30-day outcomes. There were 1874 subjects (58% male, 61% White) from 45 centers (29% DAS). Odds of DAS increased with time (odds ratio [OR] 1.23, annually, P <0.01 [95% CI, 1.10-1.38]) with significant intercenter variation (median OR, 3.81 [95% CI, 2.74-5.91]). DAS was associated with shorter hospital length of stay (ratio of geometric means, 0.76 [95% CI, 0.63-0.91]), shorter intensive care unit length of stay (ratio of geometric means, 0.77 [95% CI, 0.61-0.97]), and less expensive hospitalization (ratio of geometric means, 0.70 [95% CI, 0.56-0.87]). Intervention was not significantly associated with odds of 30-day transplant-free survival (OR,1.18 [95% CI, 0.70-1.99]) or freedom from catheter reintervention (OR, 1.02 [95% CI, 0.65-1.58]), but DAS was associated with 30-day freedom from composite adverse outcome (OR, 1.51 [95% CI, 1.11-2.05])., Conclusions: Use of DAS is increasing, but there is variability across centers. Though odds of transplant-free survival and reintervention were not significantly different after DAS, and DAS was associated with shorter length of stay and lower in-hospital costs.

Background: This review paper offers a policy-tracing trend analysis of national experiences among low- and middle-income countries in strengthening human resources for health information systems (HRHIS). This paper draws on evidence from the last two decades and applies a modified Bardach's policy analysis framework. A timely review of the evidence on HRHIS and underlying data systems is needed now more than ever, given the halfway mark of the Global Strategy on Human Resources for Health: Workforce 2030 and the protracted COVID-19 pandemic and other global health emergencies, over and above the increasing need for health and care workers to provide essential health services., Main Text: Considering World Health Assembly resolutions and HRH-related global developments between 2000 and 2022, we targeted peer-reviewed and gray literature covering the inception, impact, bottlenecks, and gaps of HRHIS. We also considered results from a Bill and Melinda Gates Foundation-funded project that assessed HRH data systems in 21 countries and the use of HRH data and information for policy, planning, and management. Aligned with the National Health Workforce Accounts (NHWA), we identify priority themes related to digital priorities for HRHIS and governance/leadership and present case studies of five countries that pursued different pathways to successfully develop their HRHIS. Over the last two decades, considerable progress has been achieved through a scaled-up implementation of HRHIS combined with the skills needed to analyze and use data, sustain systems functionality, and make systematic improvements over time. Global health development aid investments and technical innovations have led to advancements in HRHIS, district health information software (DHIS2), and partner collaborations during the HIV/AIDS, Ebola, and COVID-19 crises. Although the progressive implementation of NHWA continues to steer country-level efforts through standardized indicators and regular reporting, traditional challenges remain, such as data systems fragmentation, lack of interoperability between systems, and underutilization of reported data. Encouragingly, some countries demonstrate strong governance and leadership capacities and others strong HRHIS digital capacities. Both HRH and health service data are needed to inform on-demand decisions during times of emergencies and pandemics as well as during routine essential health services delivery. Evidence-based examples from distinctive countries demonstrate that reliable HRHIS is achievable for better planning and management of the health and care workforce., (© 2023. The Author(s).)

Background: Smart and practical health information systems and applications with fewer errors are crucial for healthcare facilities. One method that ensures the proper design of health information systems (HIS) and applications is usability evaluation., Objective: This study aimed to evaluate the usability of the emergency information systems used at the emergency departments of four educational hospitals in Kerman, Iran., Method: This study was conducted in two phases. In the first phase, the information systems' errors and shortages were identified using a semi-structured questionnaire by users (nurses and the IT staff). In the second phase, based on the results of the first phase, two questionnaires were designed for each group of users to their opinions about the usability of the emergency information systems., Results: The average score of "reducing and facilitating user's daily activities" was significantly different among hospitals (p = 0.03). Shahid Beheshti Hospital obtained the lowest usability score (17.5), and Afzalipour Hospital received the highest usability score (21.75). Moreover, the average score in "use of the HIS" for nurses and IT staff was 2.93 and 3.54 on a scale of 5, respectively., Conclusion: Usability evaluation of health information systems is essential to ensure that these systems provide sufficient and accurate information and requirements for users and health care providers. Also, modifying health information systems based on the user views and expectations improves the quality of the system and user-system Interaction., (© 2023. The Author(s).)

Competing Interests: Competing interests: Alun Ackery is provincial medical director with CritiCall Ontario. No other competing interests were declared.

Objectives: We sought to determine the prevalence of and factors associated with gastrostomy tube placement and tracheostomy in infants undergoing truncus arteriosus repair, and associations between these procedures and outcome., Design: Retrospective cohort study., Setting: Pediatric Health Information System database., Patients: Infants less than 90 days old who underwent truncus arteriosus repair from 2004 to 2019., Interventions: None., Measurements and Main Results: Multivariable logistic regression models were used to identify factors associated with gastrostomy tube and tracheostomy placement and to identify associations between these procedures and hospital mortality and prolonged postoperative length of stay (LOS; > 30 d). Of 1,645 subjects, gastrostomy tube was performed in 196 (11.9%) and tracheostomy in 56 (3.4%). Factors independently associated with gastrostomy tube placement were DiGeorge syndrome, congenital airway anomaly, admission age less than or equal to 2 days, vocal cord paralysis, cardiac catheterization, infection, and failure to thrive. Factors independently associated with tracheostomy congenital airway anomaly, truncal valve surgery, and cardiac catheterization. Gastrostomy tube was independently associated with prolonged postoperative LOS (odds ratio [OR], 12.10; 95% CI, 7.37-19.86). Hospital mortality occurred in 17 of 56 patients (30.4%) who underwent tracheostomy versus 147 of 1,589 patients (9.3%) who did not ( p < 0.001), and median postoperative LOS was 148 days in patients who underwent tracheostomy versus 18 days in those who did not ( p < 0.001). Tracheostomy was independently associated with mortality (OR, 3.11; 95% CI, 1.43-6.77) and prolonged postoperative LOS (OR, 9.85; 95% CI, 2.16-44.80)., Conclusions: In infants undergoing truncus arteriosus repair, tracheostomy is associated with greater odds of mortality; while gastrostomy and tracheostomy are strongly associated with greater odds of prolonged postoperative LOS., Competing Interests: The authors have disclosed that they do not have any potential conflicts of interest., (Copyright © 2023 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.)

Nurses' informatics competencies are nurses' professional requirements to guarantee the quality of patient care and affect nurses' use of health information systems. The purpose of this survey was to describe nurses' perceptions of their informatics competencies regarding health information system usage. A previously tested web-based questionnaire with multiple-choice questions was sent to nurses whose e-mail address was available through three Finnish Nursing Associations (N = 58 276). A total of 3610 nurses working in Finland responded. Both descriptive and explanatory statistics were used to analyze the data. The three dependent variables "nursing documentation," "digital environment," and "ethics and data protection" were formulated from the data. Nurses' overall informatics competency was good. The "ethics and data protection" competency score was higher than that of "nursing documentation" or "digital environment." Recently graduated nurses and nurses working in outpatient care, virtual hospital, examination, or operation had highest "digital environment" competency score. Health information system experience was associated with "nursing documentation." Nurses are highly qualified health information systems users. However, the competency requirements generated by rapidly expanding digitalization have challenged nurses. It is important to increase educational programs for nurses of how to use digital devices, and how to support patients to use digital services., (Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc.)

Background: Many countries' health systems are implementing reforms to improve the functioning and performance of the Health Management Information System (HMIS) to facilitate evidence-based decisions for delivery of accessible and quality health services. However, in some countries such efforts and initiatives have led to a complex HMIS ecosystem characterized by multiple and fragmented sub-systems. We undertook an in-depth analysis of the HMIS ecosystem in Tanzania to inform the ongoing initiatives, by understanding the relationship and power differences among stakeholders, as well as drivers and barriers to HMIS investment and strengthening., Methodology: This was a qualitative research method incorporating data collection through document review and key informant interviews guided by political economy analytical framework. A total of 17 key informant interviews were conducted between April and May 2022. A thematic content analysis was used during data analysis., Results: Good relationship between the government and stakeholders dealing/supporting HMIS ecosystem was noted as there are technical working groups which brings stakeholders together to discuss and harmonize HMIS activities. The 'need for the data' has been the driving force toward investment in the HMIS ecosystem. The analysis showed that the government is the main stakeholder within the HMIS ecosystem and responsible for identifying the needs for improvement and has the power to approve or reject systems which are not in line with the government priority as stipulated with the HMIS investment roadmap/strategy. Moreover, partners with long relationship are powerful in influencing HMIS investment decision-making compared to those who are recently coming to support. It was further noted shortage of staff with technical competence, inadequate financial resources, and the development of fact that some of the existing systems have not been developed to their full capacity and have hindered the whole systems' integration and interoperability exercise of ensuring integration and interoperability of the systems., Conclusion: A need-based assessment of staff capacity at the sub-national level is equally important to identify available capabilities and the knowledge gap to strengthen the HMIS ecosystem. Strong coordination of the ideas and resources intended to strengthen the HMIS ecosystem would help to reduce fragmentation. In addition, there is a need to mobilize resources within and outside the country to facilitate the integration and interoperability process smoothly., (© 2023. The Author(s).)

Governments around the globe are paving the way for healthcare services that can have a profound impact on the overall well-being and development of their nations. However, government programs to implement health information technologies on a large-scale are challenging, especially in developing countries. In this article, the process and outcomes of the large-scale implementation of a hospital information system for the management of Brazilian university hospitals are analyzed. Based on a qualitative approach, this research involved 21 hospitals and comprised a documentary search, interviews with 24 hospital managers and two system user focus groups, and a questionnaire of 736 respondents. Generally, we observed that aspects relating to the wider context of system implementation (macro level), the managerial structure, cultural nuances, and political dynamics within each hospital (meso level), as well as the technology, work activities, and individuals themselves (micro level) acted as facilitators and/or obstacles to the implementation process. The dynamics and complex interactions established between these aspects had repercussions on the process, including the extended time necessary to implement the national program and the somewhat mixed outcomes obtained by hospitals in the national network. Mostly positive, these outcomes were linked to the eight emerging dimensions of practices and work processes; planning, control, and decision making; transparency and accountability; optimization in the use of resources; productivity of professionals; patient information security; safety and quality of care; and improvement in teaching and research. We argued here that to maximize the potential of information technology in healthcare on a large-scale, an integrative and cooperative vision is required, along with a high capacity for change management, considering the different regional, local, and institutional contexts.

Background: The COVID-19 pandemic exposed the health equity gap between and within countries. Western countries were the first to receive vaccines and mortality was higher among socially deprived, minority and indigenous populations. Surprisingly, many sub-Saharan countries reported low excess mortalities. These countries share experiences with community organization and participation in health. The aim of this article was to analyse if and how this central role of people can promote a successful pandemic response., Methods: This analysis was partly based on local and national experiences shared during an international and Latin American conference on person-and people-centred care in 2021. Additionally, excess mortality data and pandemic control-relevant data, as well as literature on the pandemic response of countries with an unexpected low excess mortality were consulted., Results: Togo, Mongolia, Thailand and Kenya had a seven times lower mean excess mortality for 2020 and 2021 than the United States of America. More successful pandemic responses were observed in settings with experience in managing epidemics like Ebola and HIV, well-established community networks, a national philosophy of mutual aid, financial government assistance, more human resources for primary care and paid community health workers., Discussion: Since trust in authorities and health needs vary greatly, local strategies are needed to complement national and international pandemic responses. Three key levers were identified to promote locally-tailored pandemic management: well-organized communities, community-oriented primary care, and health information systems. An organized community structure stems from a shared ethical understanding of humanity as being interconnected with each other and the environment. This structure facilitates mutual aid and participation in decision making. Community-oriented primary care includes attention for collective community health and ways to improve health from its roots. A health information system supports collective health and health equity analysis by presenting health needs stratified for social deprivation, ethnicity, and community circumstances., Conclusions: The difference in excess mortality between countries during the COVID-19 pandemic and various country experiences demonstrate the potential of the levers in promoting a more just and effective health emergency response. These same levers and strategies can promote more inclusive and socially just health systems., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Background: Routine health facility data provides the opportunity to monitor progress in quality and uptake of health care continuously. Our study aimed to assess the reliability and usefulness of emergency obstetric care data including temporal and regional variations over the past five years in Tanzania Mainland., Methods: Data were compiled from the routine monthly district reports compiled as part of the health management information systems for 2016-2020. Key indicators for maternal and neonatal care coverage, emergency obstetric and neonatal complications, and interventions indicators were computed. Assessment on reliability and consistency of reports was conducted and compared with annual rates and proportions over time, across the 26 regions in of Tanzania Mainland and by institutional delivery coverage., Results: Facility reporting was near complete with 98% in 2018-2020. Estimated population coverage of institutional births increased by 10% points from 71.2% to 2016 to 81.7% in 2020 in Tanzania Mainland, driven by increased use of dispensaries and health centres compared to hospitals. This trend was more pronounced in regions with lower institutional birth rates. The Caesarean section rate remained stable at around 10% of institutional births. Trends in the occurrence of complications such as antepartum haemorrhage, premature rupture of membranes, pre-eclampsia, eclampsia or post-partum bleeding were consistent over time but at low levels (1% of institutional births). Prophylactic uterotonics were provided to nearly all births while curative uterotonics were reported to be used in less than 10% of post-partum bleeding and retained placenta cases., Conclusion: Our results show a mixed picture in terms of usefulness of the District Health Information System(DHIS2) data. Key indicators of institutional delivery and Caesarean section rates were plausible and provide useful information on regional disparities and trends. However, obstetric complications and several interventions were underreported thus diminishing the usefulness of these data for monitoring. Further research is needed on why complications and interventions to address them are not documented reliably., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Background: Routine Health Information Systems data should be used in a systematic and institutionalised manner to support the making of plans, the monitoring of plans and in supportive supervision. To explore to what extent there is discussion about the linkage between planning, monitoring and supervision of sub-national programs using routine data we conducted a scoping review. The review question was: How are routine health information systems used in developing and monitoring health plans at district and facility level?, Methods: From a search of Ovid Medline (all), EMBASE and Web of Science along with a review of grey literature and involving a number of key stakeholders in identifying any missing resources a total of over 2200 documents were reviewed and data from 13 documents were extracted., Results: Overall, there are many descriptions of how to implement and strengthen systems, ways to assess and improve data availability and quality, tools to improve the data use context, training in data use and mechanisms to involve stakeholders and strengthen infrastructure. However, there are gaps in examples of routine health data being used in the development, monitoring and supervision of plans at district and facility level., Conclusions: There appears to be no institutionalised obligation of planners to monitor plans, very little guidance on how to practically monitor programs and minimal discussion about how to use the routinely available data to supportively supervise the implementation of the plans. To overcome these shortcomings, we recommend that practical procedures to ensure linkage of existing district plans to regular monitoring of priority programs are institutionalised, that mechanisms for making managers institutionally accountable for monitoring and supervising these plans are put in place, and that practical guidelines for linking plans with routine health information system data and regular monitoring and supportive supervision are developed., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Aims: To identify different nursing informatics competence (NIC) profiles in nurses, examine the factors associated with profile memberships and examine the associations of the derived profiles with the nurses' perception of the usefulness of a health information system (HIS)., Design: A cross-sectional study., Methods: A sample of 3610 registered nurses responded to a nationwide survey in March 2020. A latent profile analysis was performed to identify NIC profiles based on three competence areas: nursing documentation, working in digital environment, and ethics and data protection. A multinomial logistic regression was carried out to examine the associations of demographic and background variables with the profile membership. Linear regression analyses were carried out to examine the association between the profile membership and perceived HIS usefulness., Results: Three NIC profiles were identified and labelled as low, moderate and high competence groups. A younger age, recent graduation year, sufficient orientation and high-rated proficiency as an HIS user were associated with nurses belonging to a high or moderate competence group relative to a low competence group. Competence group membership was associated with perceived HIS usefulness. The high competence group consistently expressed the highest usefulness of the HIS and the low competence group the lowest., Conclusion: Tailored training and support should be provided for nurses with different levels of informatics competence, thereby facilitating their ability to respond to increasingly digitalized work. This could contribute to higher usefulness of the HIS in terms of supporting the nurses' work tasks and promoting the quality of care., Impact: This was the first study exploring latent profiles of informatics competence in nurses. Insights from this study are useful for nursing management to identify different competence profiles of their employees, provide support and training to meet their needs, and promote the successful use of an HIS., (© 2023 The Authors. Journal of Advanced Nursing published by John Wiley & Sons Ltd.)

Background: Induction agent used at the time of kidney transplant is often based upon center practice and recipient characteristics. We evaluated outcomes across induction therapies among children enrolled in the North American Pediatric Renal Trials and Collaborative Studies (NAPRTCS) transplant registry with data in the Pediatric Health Information System (PHIS)., Methods: This is a retrospective study of merged data from NAPRTCS and PHIS. Participants were grouped by induction agent: interleukin-2 receptor blocker (IL-2 RB), anti-thymocyte/anti-lymphocyte globulin (ATG/ALG), and alemtuzumab. Outcomes assessed included 1-, 3-, and 5-year allograft function and survival, rejection, viral infections, malignancy, and death., Results: A total of 830 children transplanted between 2010 and 2019. At 1 year post-transplant, the alemtuzumab group had higher median eGFR (86 ml/min/1.73 m 2 ) compared to IL-2 RB and ATG/ALG (79 and 75 ml/min/1.73 m 2 , respectively; P < 0.001); at 3 and 5 years, there was no difference. Adjusted eGFR over time was similar across all induction agents. Rejection rates were lower among the alemtuzumab group vs. IL-2RB and ATG (13.9% vs. 27.3% and 24.6%, respectively; P = 0.006). Adjusted ATG/ALG and alemtuzumab had higher hazard ratio for time to graft failure compared to IL-2 RB (HR 2.48 and HR 2.11, respectively; P < 0.05). Incidence of malignancy, mortality, and time to first viral infection was similar., Conclusion: Although rejection and allograft loss rates were distinct, the incidences of viral infection and malignancy were comparable across induction agents. By 3 years post-transplant, there was no difference in eGFR. A higher resolution version of the Graphical abstract is available as Supplementary information., (© 2023. The Author(s), under exclusive licence to International Pediatric Nephrology Association.)