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Introduction: Keeping HIV-infected adults away from the health care system during the COVID-19 travel restrictions, presents a challenge to HIV treatment adherence. Methods: This study focused on the initial two phases where Phase 1 designed a Makerere College of Health Sciences (MakCHS) Unstructured Supplementary Service Data (USSD)-based application; and Phase 2 piloted patient enrolment onto the application and determined the feasibility of remote follow-up of patients receiving long-term antiretroviral therapy (ART). Results: A off/online user application, MakCHS Health app, was developed. Overall, 112 patients [(66(59%) female] receiving ART at Mulago ISS clinic, Kampala, were enrolled onto the MakCHS Health app. Up to 89 (80%) utilized the app to access medical help. Patients’ medical queries included needs for drug refills, missed taking HIV medication, medical illnesses, access to COVID-19 vaccination and other personal needs that required clinicians’ attention. Conclusion: Piloting a MakCHS Health application for patient follow-up was feasible and well-received by HIV treatment providers and patients receiving ART. We recommend scale up of the application to enroll all patients receiving long-term treatment for HIV/AIDS, and subsequently expand to. other HIV treatment programs in similar settings. Keywords: M-Health; patient follow up; Chronic HIV treatment; Antiretroviral therapy.

Health Information Systems (HIS) in Uganda always fail to achieve the organizational objectives and yet little research has been conducted to study the strategic alignment of HIS in the country. This study therefore set out to examine the antecedents and dynamics that influence strategic alignment of HIS in Uganda with the aim of adequately addressing the complex IS design issues a total of 296 respondents were purposively selected from 39 health facilities across the country to participate in the survey. Data was analyzed using descriptive statistics. Findings from the study revealed that HIS are used to locate substitute sources for medical commodities, reduce costs of handling orders as well as minimize uncertainty in ordering lead time. In addition, HIS provide information to clients, add value to existing health services and are used to target health service needs with accuracy as well as identify groups of clients whose needs are not being met. HIS are used to minimize the cost of designing services, adding features to existing services and population grouping services at the health unit level. In the area of internal health facility efficiency, HIS help in ensuring efficiency and enable informed decision making, provide efficiency in internal meetings and discussions, co-ordination among facility departments, and provide good evaluation on annual budget. Further, HIS are used by health workers to provide evaluation on capital, maximize organizational performance, population coverage and strategic planning efficiency. Despite the above, the study revealed that health units do not have standards, frameworks and policies for the strategic alignment of HIS and the funding to support them. For better alignment of HIS, there should be proper planning and training of health workers on the importance of strategic alignment of HIS. Further, health facilities should be encouraged to adopt electronic information systems to improve their efficiency and effectiveness. There should also be policies, frameworks and or standards for guiding strategic alignment of Health Information Systems in health facilities. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

Background: Of the three million newborns that die each year, Uganda ranks fifth highest in neonatal mortality rates, with 43,000 neonatal deaths each year. Despite child survival and safe motherhood programmes towards reducing child mortality, insufficient attention has been given to this critical first month of life. There is urgent need to innovatively employ alternative solutions that take into account the intricate complexities of neonatal health and the health systems. In this paper, we set out to empirically contribute to understanding the causes of the stagnating neonatal mortality by applying a systems thinking approach to explore the dynamics arising from the neonatal health complexity and non-linearity and its interplay with health systems factors, using Uganda as a case study. Methods: Literature reviews and interviews were conducted in two divisions of Kampala district with high neonatal mortality rates with mothers at antenatal clinics and at home, village health workers, community leaders, healthcare decision and policy makers, and frontline health workers from both public and private health facilities. Data analysis and brainstorming sessions were used to develop causal loop diagrams (CLDs) depicting the causes of neonatal mortality, which were validated by local and international stakeholders. Results: We developed two CLDs for demand and supply side issues, depicting the range of factors associated with neonatal mortality such as maternal health, level of awareness of maternal and newborn health, and availability and quality of health services, among others. Further, the reinforcing and balancing feedback loops that resulted from this complexity were also examined. The potential high leverage points include special gender considerations to ensure that girls receive essential education, thereby increasing maternal literacy rates, improved socioeconomic status enabling mothers to keep healthy and utilise health services, improved supervision, and internal audits at the health facilities as well as addressing the gaps in resources (human, logistics, and drugs). Conclusions: Synthesis of theoretical concepts through CLDs facilitated our understanding and interpretation of the interactions and feedback loops that contributed to the stagnant neonatal mortality rates in Uganda, which is the first step towards discussing and exploring the potential strategies and their likely impact.

This article critically examines the challenges associated with demand for immunization, including the interplay of political, social, economic and technological forces that influence the level of immunization coverage. The article suggests a framework to capture the complex and dynamic nature of the immunization process and tests its effectiveness using a case study of Ugandan healthcare provision. Field study research methods and qualitative system dynamics, a feedback and control theory based modelling approach, are used to capture the complexity and dynamic nature of the immunization process, to enhance a deeper understanding of the immunization organizational environment. A model showing the dynamic influences associated with demand and provision of immunization services, with the aim of facilitating the decision making process as well as healthcare policy interventions, is presented.