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Summary: There is more and more online information available at our fingertips, but how do we efficiently identify and extract relevant information for good clinical decision making? The aim of this review article is to provide equine professionals with the building blocks to be able to develop skills for expertly navigating the scientific literature in a timely fashion. This includes what key questions you need to ask before starting (why am I searching and how much time do I have), where the best places are to search and how to find freely available legal copies of papers (articles, conference proceedings, book chapters and dissertations). Additionally, how to best conduct an information search and what you get from searches of varying comprehensiveness. Finally, this article will cover where to find databases of research syntheses where others have already carried out the hard work for you and some advanced techniques which are likely to save you substantial amounts of time. This article draws together expertise from a panel of veterinary clinicians, nurses and technicians, information specialists and librarians and clinical researchers. [ABSTRACT FROM AUTHOR]

This article draws on 2 years' worth of ethnographic observation of team meetings to explore decision‐making in an NHS clinical genomics service. The focus of discussions was on ambiguous genomic results known as VUS or Variants of Uncertain Significance, which may be pathogenic but which also may turn out to be benign. In examining decision‐making around such results, we note how, in contrast to much policy and promotional material in this area, clinicians in these meetings (clinical geneticists and genetic counsellors) place great emphasis on parental phenotypes and whether the parents of a patient share the symptoms and signs of the suspected condition. This information is then combined with the result of genomic tests to decide whether the variant a patient has is responsible for their condition. This article explores the way in which clinicians attempt to flexibly enrol parents into genomic explanations through informal diagnosis of their possible phenotypes and the way in which actually meeting parents allows some clinicians to trump explanations based on documentary or photographic data. The paper sheds light on the way that earlier scholarly understandings of such decisions (around, say dysmorphology) remain relevant and explores claims that laboratory tests overrule clinical decision‐making. [ABSTRACT FROM AUTHOR]

Background: There is a paucity of literature describing how surgeons (either novice or expert) mentally prepare to carry out a surgical procedure. This paper focuses on these processes, and is part of a larger piece of research based on the Royal Australasian College of Surgeons (RACS) Clinical Decision Making model. Methods: Interviews were conducted over a 3‐year period with registrars, trainees, fellows and consultants in the Department of Surgery at one large regional hospital in Victoria. Analysis began from the first interview with no pre‐conceived codes. Emerging themes were drawn from participants' interpretation of their experiences. Further information was obtained during discussions in theatre while patients were being prepared for surgery. Results: The findings show that the process of rehearsal changes as a surgeon gains more experience in a procedure. A 'novice' relies on external sources of information, for example textbooks and videos. After participating in a number of similar procedures their reliance gradually moves to their own sensory memories. Surgeons at all levels of experience discuss their preparations with peers, colleagues, senior clinicians, and where appropriate, with members of other disciplines. Conclusion: These findings offer insight into how surgeons, at different levels of experience, prepare for a procedure. These understandings have the potential to improve the teaching and learning of this essential component of surgical practice. [ABSTRACT FROM AUTHOR]

The 2021 virtual issue of the Health Information and Libraries Journal is published to link to the Future Technologies Conference 2021, which takes place in Vancouver, Canada, 28–29 October 2021. This event, which began in 2016, presents the best of current systems research and practice. One of the themes of the 2021 conference is Smart Healthcare. Although libraries may appear to be far removed from some of the breakthroughs reported in the Future Technologies Conference, what is clear is that unlike those who work with technology, librarians work closely with the end users of health information—clinicians, managers, students, patients and the general public. The articles included in this virtual issue provide important insights into what library user groups want and what does and does not meet their needs. [ABSTRACT FROM AUTHOR]

INTRODUCTION: We describe the development and feasibility of using an online consensus approach for diagnosing cognitive impairment and dementia in rural South Africa. METHODS: Cognitive assessments, clinical evaluations, and informant interviews from Cognition and Dementia in the Health and Aging in Africa Longitudinal Study (HAALSI Dementia) were reviewed by an expert panel using a web‐based platform to assign a diagnosis of cognitively normal, mild cognitive impairment (MCI), or dementia. RESULTS: Six hundred thirty‐five participants were assigned a final diagnostic category, with 298 requiring adjudication conference calls. Overall agreement between each rater's independent diagnosis and final diagnosis (via the portal or consensus conference) was 78.3%. A moderate level of agreement between raters' individual ratings and the final diagnostic outcomes was observed (average κ coefficient = 0.50). DISCUSSION: Findings show initial feasibility in using an online consensus approach for the diagnosis of cognitive impairment and dementia in remote, rural, and low‐resource settings. [ABSTRACT FROM AUTHOR]

Rationale, Aims and Objectives: The development of clinical practice guidelines (CPG) suffers from the lack of an explicit and transparent framework for synthesising the key elements necessary to formulate practice recommendations. We matched deliberations of the American Society of Haematology (ASH) CPG panel for the management of pulmonary embolism (PE) with the corresponding decision‐theoretical constructs to assess agreement of the panel recommendations with explicit decision modelling. Methods: Five constructs were identified of which three were used to reformulate the panel's recommendations: (1) standard, expected utility threshold (EUT) decision model; (2) acceptable regret threshold model (ARg) to determine the frequency of tolerable false negative (FN) or false positive (FP) recommendations, and (3) fast‐and‐frugal tree (FFT) decision trees to formulate the entire strategy for management of PE. We compared four management strategies: withhold testing versus d‐dimer → computerized pulmonary angiography (CTPA) ('ASH‐Low') versus CTPA→ d‐dimer ('ASH‐High') versus treat without testing. Results: Different models generated different recommendations. For example, according to EUT, testing should be withheld for prior probability PE < 0.13%, a clinically untenable threshold which is up to 15 times (2/0.13) below the ASH guidelines threshold of ruling out PE (at post probability of PE ≤ 2%). Three models only agreed that the 'ASH low' strategy should be used for the range of pretest probabilities of PE between 0.13% and 13.27% and that the 'ASH high' management should be employed in a narrow range of the prior PE probabilities between 90.85% and 93.07%. For all other prior probabilities of PE, choosing one model did not ensure coherence with other models. Conclusions: CPG panels rely on various decision‐theoretical strategies to develop its recommendations. Decomposing CPG panels' deliberation can provide insights if the panels' deliberation retains a necessary coherence in developing guidelines. CPG recommendations often do not agree with the EUT decision analysis, widely used in medical decision‐making modelling. [ABSTRACT FROM AUTHOR]

Rationale, Aims and Objectives: Critics have charged that evidence‐based medicine (EBM) overemphasises algorithmic rules over unstructured clinical experience and intuition, but the role of structured decision support systems in improving health outcomes remains uncertain. We aim to assess if delivery of anticoagulant prophylaxis in hospitalised patients with COVID‐19 according to an algorithm based on evidence‐based clinical practice guideline (CPG) improved clinical outcomes compared with administration of anticoagulant treatment given at individual practitioners' discretion. Methods: An observational design consisting of the analysis of all acutely ill, consecutive patients (n = 1783) with confirmed COVID‐19 diagnosis admitted between 10 March 2020 to 11 January 2022 to an US academic center. American Society of Haematology CPG for anticoagulant prophylaxis in hospitalised patients with COVID‐19 was converted into a clinical pathway and translated into fast‐and‐frugal decision (FFT) tree ('algorithm'). We compared delivery of anticoagulant prophylaxis in hospitalised patients with COVID‐19 according to the FFT algorithm with administration of anticoagulant treatment given at individual practitioners' discretion. Results: In an adjusted analysis, using combination of Lasso (least absolute shrinkage and selection operator) and propensity score based weighting [augmented inverse‐probability weighting] statistical techniques controlling for cluster data, the algorithm did not reduce death, venous thromboembolism, or major bleeding, but helped avoid longer hospital stay [number of patients needed to be treated (NNT) = 40 (95% CI: 23–143), indicating that for every 40 patients (23–143) managed on FFT algorithm, one avoided staying in hospital longer than 10 days] and averted admission to intensive‐care unit (ICU) [NNT = 19 (95% CI: 13–40)]. All model's selected covariates were well balanced. The results remained robust to sensitivity analyses used to test the stability of the findings. Conclusions: When delivered using a structured FFT algorithm, CPG shortened the hospital stay and help avoided admission to ICU, but it did not affect other relevant outcomes. [ABSTRACT FROM AUTHOR]

National Health Service (NHS) knowledge and library services in England are integrating digital advances into their systems and services. Health Education England (HEE) leads on the development of NHS library services. A key workstream focuses on (1) improving the infrastructure to enable discovery and management of digital knowledge resources; (2) collaborating with local teams to establish regional library management systems that are integrated with the new national discovery service for healthcare staff and learners. This article explores initiatives on resource discovery as well as the need for system‐wide partnership working to ensure that biomedical knowledge in computable form is findable, accessible, interoperable and reusable. Low levels of health and digital literacy pose a significant barrier to using health information and accessing health services. A range of interventions are aimed at enhancing citizens' digital and health literacy skills. The education and life‐long learning needs of the knowledge and library services workforce are considered. Working with CILIP and higher education institutions, HEE delivers a range of educational offers through its Learning Academy. As Artificial Intelligence and automation are implemented in health systems, knowledge and library staff form a crucial bridge between technology and those who use it. [ABSTRACT FROM AUTHOR]

Technology advances and collaborations with information technology and computer science groups have enabled library services to expand into new domains. Listening to user needs, eliminating administrative burden and saving users time remain strong foundations on which to build new library services enabled by technology. Examples of what is now possible is described, including service to user groups, successes, failures and challenges. Although technology advances have enabled library service enhancements to all user groups, special emphasis on new library services in support of the research enterprise is discussed. As Lindberg and Humphreys predicted in 2015, the research enterprise's need for responsible curation of research data has created new opportunities for library services and examples of those services are discussed. As technology continues to advance, new library services are expected to emerge. These may include regulatory and compliance services. By developing these services with user feedback to save users time and expedite their work, and in collaboration with technology experts, libraries can expect to offer sustainable and valued services for years to come. [ABSTRACT FROM AUTHOR]

Background: Enteral nutrition (EN) is an integral component of standard management of critically ill patients in intensive care. However, achieving adequate nutrition in this environment continues to present many challenges. Design: A descriptive exploratory design using a retrospective review of medical records. Aims and objectives: The aims of this study were to describe nursing practice associated with EN feeding and identify barriers to optimal nutritional delivery in the intensive care unit (ICU). Methods: Patients admitted to a major Australian metropolitan health service ICU during a 6‐month period, and who received EN for at least 72 hours, were eligible for inclusion. Documented text from patient medical records was analysed using content analysis. Numerical data were analysed using SPSS software (version 25.0). Descriptive and inferential statistics were calculated. Results: A total of 150 patients were included in the study. The mean time from admission to EN commencement was 12.6 hours, with 59.3% commenced within 12 hours of admission. Only 9.3% of patients commenced EN at the target rate. Of the 150 patients, 24 (16%) received 80% of nutrition targets within 72 hours of admission. Patients who had EN commenced within 12 hours of admission and at the target rate were significantly more likely to achieve nutritional requirements (P = <.01). Patients who received an initial dietitian review within 24 hours of admission were more likely to achieve nutrition requirements (P = <.01). Conclusions: Commencing EN on time and meeting target volumes remains challenging in the ICU patient. Airway management, procedural requirements, and delayed dietitian review for prescribed hourly rate initiation provide barriers to optimal nutrition delivery to critically ill patients. Tackling these barriers may require interdisciplinary interventions. Relevance to clinical practice: Providing adequate nutrition to critically ill patients is challenging. This study provides evidence that day's one and two are problematic to EN delivery; particularly concerning airway management, procedural requirements, and delayed dietitian review for prescribed hourly rate initiation. Highlighting the need for further research into these aspects of nutrition management. [ABSTRACT FROM AUTHOR]

With a pair of oppositely valenced stimuli, rating the first one sometimes leads to a more extreme evaluation for the second (e.g., if the second is negatively valenced, rating the first stimulus would lead to a more negative rating for the second). We considered an evaluation bias in the case of clinical diagnosis relating to eating disorders. A population sample which included experienced clinical psychologists and psychiatrists showed partial evidence of an evaluation bias, when judging descriptions of individuals designed to be consistent with eating disorders or not. Quantum probability theory, the probability rules from quantum mechanics without any of the physics, is particularly well‐suited to modeling the evaluation bias (and constructive influences generally), because a measurement (or judgment) can change the state of the system. We applied a previous quantum model to the present result, an extension of the model embodying noisy processes, and belief adjustment model. We discuss how model fits inform an examination of rationality in the observed behavior. There has been evidence of so‐called constructive influences in decision making, whereby a decision appears to alter the underlying mental state. We explore such influences in the case of clinical judgments, based on realistic case information. Can such constructive influences be rational? We apply two models to the data, one based on quantum theory and one on heuristics, as a way to address this question and understand relevant behaviour better. [ABSTRACT FROM AUTHOR]

The wide‐scale adoption of electronic health records (EHRs) provides extensive information to support precision medicine and personalized health care. In addition to structured EHRs, we leverage free‐text clinical information extraction (IE) techniques to estimate optimal dynamic treatment regimes (DTRs), a sequence of decision rules that dictate how to individualize treatments to patients based on treatment and covariate history. The proposed IE of patient characteristics closely resembles "The clinical Text Analysis and Knowledge Extraction System" and employs named entity recognition, boundary detection, and negation annotation. It also utilizes regular expressions to extract numerical information. Combining the proposed IE with optimal DTR estimation, we extract derived patient characteristics and use tree‐based reinforcement learning (T‐RL) to estimate multistage optimal DTRs. IE significantly improved the estimation in counterfactual outcome models compared to using structured EHR data alone, which often include incomplete data, data entry errors, and other potentially unobserved risk factors. Moreover, including IE in optimal DTR estimation provides larger study cohorts and a broader pool of candidate tailoring variables. We demonstrate the performance of our proposed method via simulations and an application using clinical records to guide blood pressure control treatments among critically ill patients with severe acute hypertension. This joint estimation approach improves the accuracy of identifying the optimal treatment sequence by 14–24% compared to traditional inference without using IE, based on our simulations over various scenarios. In the blood pressure control application, we successfully extracted significant blood pressure predictors that are unobserved or partially missing from structured EHR. [ABSTRACT FROM AUTHOR]

Dietitians learn clinical decision making (CDM) predominantly as an autonomous cognitive process that considers the needs and preferences of the patient. Although interprofessional education is increasing in tertiary dietetic programmes, a paucity of research exists that explores the nature of how practising dietitians make decisions, independent or otherwise. This qualitative interpretative study explored the nature of experienced dietitian CDM in the acute care setting. Philosophical hermeneutic principles guided text construction and interpretation via in‐depth, semi‐structured interviews with practising dietitians with at least 3 years of experience. A reference focus group commented on the emerging findings, increasing the rigour of the research. Ten dietitians participated in the interviews and there were five dietitians in the reference focus group. CDM was found to be a highly social phenomenon with varying degrees of autonomy involving complex power relations with various other health professionals, in particular, medical practitioners. Dietitians respond to existing power relations in key ways, including building and maintaining relationships, advocating on behalf of the patient and negotiating decisions with other healthcare staff when in pursuit of improved health and nutrition related outcomes for patients. Strategic interprofessional communication skills are foundational to effective patient care and advancing the role of the dietitian. Power and autonomy in dietitian CDM are important concepts that could inform interprofessional education when seeking to promote both effective dietetic and interprofessional practice. [ABSTRACT FROM AUTHOR]

Background: Polypharmacy (taking ≥ five medications) is common and associated with adverse drug events, medication nonadherence, and increased mortality and healthcare costs. Primary care providers are uniquely positioned to deprescribe unnecessary medications, yet little is known about factors that influence their deprescribing decisions. Objectives: We sought to identify factors that influence primary care providers' recommendations to deprescribe potentially unnecessary medications. Methods: This study represents a secondary data analysis from a national, cross‐sectional survey assessing providers' beliefs, attitudes, and experiences regarding medication deprescribing. A random sample of 2475 providers in Veterans Affairs (VA) primary care clinics were invited; 411 responded (16.6% response rate). Respondents included physicians (n = 304), nurse practitioners/physician assistants (n = 68), and clinical pharmacists (n = 39). Respondents estimated the proportion of their patients taking a potentially unnecessary medication. Of these patients, providers then identified the proportion for whom they recommended medication deprescribing (response options: <20%, 20%‐39%, 40%‐59%, 60%‐79%, ≥80%). We used multivariable logistic regression to determine factors associated with recommending deprescribing to ≥80% of candidate patients. Results: Although most respondents indicated having patients taking unnecessary medications, less than one‐third reported recommending deprescribing to most (≥80%) of their candidate patients. In adjusted analyses, factors significantly associated with increased likelihood of recommending deprescribing included having more patients who asked for medication information, providers' self‐rated comfort with deprescribing, and having support to monitor patients after deprescribing. When the indication for a medication was unclear, providers reported being less likely to recommend deprescribing. Conclusion: Most providers indicated caring for patients taking potentially unnecessary medications, yet they did not consistently say they recommended deprescribing to these patients. Our findings suggest that requiring prescriptions to include their reason for use and models of primary care designed to strengthen interdisciplinary teamwork and communication, such as the patient‐centered medical home, could address barriers providers face to deprescribing medications. [ABSTRACT FROM AUTHOR]

Network meta‐analyses (NMAs) simultaneously estimate the effects of multiple possible treatment options for a given clinical presentation. For allergists to benefit optimally from NMAs, they must understand the process and be able to interpret the results. Through a worked example published in Pediatric Allergy and Immunology, we summarize how to identify credible NMAs and interpret them with a focus on recent innovations in the GRADE approach (Grading of Recommendations Assessment, Development, and Evaluation). NMAs build on traditional systematic reviews and meta‐analyses that consider only direct paired comparisons by including indirect evidence, thus allowing the simultaneous assessment of the relative effect of all pairs of competing alternatives. Our framework informs clinicians of how to identify credible NMAs and address the certainty of the evidence. Trustworthy NMAs fill a critical gap in providing key inferences using direct and indirect evidence to inform clinical decision making when faced with more than two competing courses of treatment options. This document will help allergists to identify trustworthy NMAs to enhance patient care. [ABSTRACT FROM AUTHOR]

Rationale, aims and objectives: Several health information sources are available to assist physical therapists in the clinical decision‐making process, with a notable increase in the importance of using evidence‐based practice (EBP). The aim of this study is to investigate the health information sources most used by Brazilian physical therapists to guide their clinical decision making for knee osteoarthritis (OA) management, use of Physiotherapy Evidence Database (PEDro), knowledge about the existence of clinical practice guidelines (CPGs), and associated factors. Methods: A cross‐sectional study using an electronic survey was conducted. Physical therapists registered in a Regional Physical Therapy Council in Brazil were invited to participate. Sociodemographic data, professional training, health information sources, frequency of use of PEDro, and knowledge about CPGs were collected. Descriptive analysis of the data was performed, and the chi square test and multinomial and binary logistic regression were used to verify association between the variables. Results: The survey was completed by 370 professionals. The three health information sources most used by Brazilian physical therapists were clinical experience, courses, and books. Among these professionals, only 12.1% use PEDro frequently, and 60.5% know that CPGs for knee OA management exist. Level of education was associated with PEDro use and knowledge about the existence of CPGs (P <.05). Conclusions: The study results indicated a significant deficiency in engagement with research evidence by Brazilian physical therapists to guide their clinical decision making for knee OA. Further investigations on educational needs and the development of new strategies to narrow the gap between research evidence and clinical practice should be performed. [ABSTRACT FROM AUTHOR]

Deliberate clinical inertia is the art of doing nothing as a positive response. Individual clinicians can promote deliberate clinical inertia through teaching, re‐framing the act of 'doing nothing' as 'doing something' and engaging in shared decision making. Behaviour change on a larger scale requires a systematic approach. Nudging is a subtle change to the decision‐making context to prompt specific choices. A nudge unit is a team of relevant professionals who engage with various multidisciplinary teams within a health service who help test and implement nudge interventions in a clinical environment. A nudge unit could be used to design environments to prompt clinicians to re‐think before ordering unnecessary tests or treatments. Nudge units could improve knowledge translation, support continuous quality improvement and help build a learning health system. They could also boost collaboration and empower staff to evaluate their workplace decision‐making frameworks. [ABSTRACT FROM AUTHOR]