Diplomate Spotlight Opening Doors with Board Certification: A Conversation with Long Standing Diplomate Joseph Cook Read Opening Doors with Board Certification: A Conversation with Long Standing Diplomate Joseph Cook
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Home Research Research Library Research gaps in the organisation of primary healthcare in low-income and middle-income countries and ways to address them: a mixed-methods approach Research gaps in the organisation of primary healthcare in low-income and middle-income countries and ways to address them: a mixed-methods approach 2019 Topic(s) Family Medicine Certification, and Role of Primary Care Introduction: Since the Alma-Ata Declaration 40 years ago, primary healthcare (PHC) has made great advances, but there is insufficient research on models of care and outcomes-particularly for low-income and middle-income countries (LMICs). Systematic efforts to identify these gaps and develop evidence-based strategies for improvement in LMICs has been lacking. We report on a global effort to identify and prioritise the knowledge needs of PHC practitioners and researchers in LMICs about PHC organisation. Methods: Three-round modified Delphi using web-based surveys. PHC practitioners and academics and policy-makers from LMICs sampled from global networks. First round (pre-Delphi survey) collated possible research questions to address knowledge gaps about organisation. Responses were independently coded, collapsed and synthesised. Round 2 (Delphi round 1) invited panellists to rate importance of each question. In round 3 (Delphi round 2), panellists ranked questions into final order of importance. Literature review conducted on 36 questions and gap map generated. Results: Diverse range of practitioners and academics in LMICs from all global regions generated 744 questions for PHC organisation. In round 2, 36 synthesised questions on organisation were rated. In round 3, the top 16 questions were ranked to yield four prioritised questions in each area. Literature reviews confirmed gap in evidence on prioritised questions in LMICs. Conclusion: In line with the 2018 Astana Declaration, this mixed-methods study has produced a unique list of essential gaps in our knowledge of how best to organise PHC, priority-ordered by LMIC expert informants capable of shaping their mitigation. Research teams in LMIC have developed implementation plans to answer the top four ranked research questions. Read More ABFM Research Read all 2023 Implementing Competency Based ABFM Board Eligibility Go to Implementing Competency Based ABFM Board Eligibility 2021 Advancing primary care with Artificial Intelligence and Machine Learning Go to Advancing primary care with Artificial Intelligence and Machine Learning 2016 Maintenance of Certification, Medicare Quality Reporting, and Quality of Diabetes Care Go to Maintenance of Certification, Medicare Quality Reporting, and Quality of Diabetes Care 2018 Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments Go to Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments
ABFM Research Read all 2023 Implementing Competency Based ABFM Board Eligibility Go to Implementing Competency Based ABFM Board Eligibility 2021 Advancing primary care with Artificial Intelligence and Machine Learning Go to Advancing primary care with Artificial Intelligence and Machine Learning 2016 Maintenance of Certification, Medicare Quality Reporting, and Quality of Diabetes Care Go to Maintenance of Certification, Medicare Quality Reporting, and Quality of Diabetes Care 2018 Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments Go to Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments
2023 Implementing Competency Based ABFM Board Eligibility Go to Implementing Competency Based ABFM Board Eligibility
2021 Advancing primary care with Artificial Intelligence and Machine Learning Go to Advancing primary care with Artificial Intelligence and Machine Learning
2016 Maintenance of Certification, Medicare Quality Reporting, and Quality of Diabetes Care Go to Maintenance of Certification, Medicare Quality Reporting, and Quality of Diabetes Care
2018 Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments Go to Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments