Primary healthcare training in the Democratic Republic of the Congo.

Family medicine is a relatively new discipline in the Democratic of the Congo. It was developed under South-South and Churches Collaboration with the aim of responding in a cost-efficient manner to the crisis of health practitioners in mostly Christian and protestant hospitals based in rural areas in the Democratic Republic of the Congo.

Electronic distance based clinical skills training development in family medicine in Namibia.

Workplace-based evaluation is one of the most important, but challenging aspects of medical education. The aim was to improve the assessment of the rural community-based clinical training for undergraduate 3rd and 4th year family medicine students at the University of Namibia (UNAM) and implement a paperless process. An online module was developed on the Moodle platform to include a study guide, an electronic portfolio, and electronic resources (e-books and apps) to replace the current paper version of the logbook. We explored local resources by engaging with students and clinical trainers on how to best conduct the initial implementation. Engagement also entailed motivating students to actively participate in the implementation process. All 3rd and 4th year community-based education end service (COBES) students are now submitting proof of clinical learning electronically with the use of their phones in their online portfolio and using online resources. In addition, students in the practical family medicine module that has been introduced in the 6th year since 2023 are now also using an electronic portfolio and these assessment tools.Contribution: Overall feedback from students and supervisors indicates a positive atmosphere of learning and constructive feedback on performance from all team members, hopefully improving work-based assessments and ultimately patient care. More members of the primary health care team were involved and the carbon footprint has also been decreased.

Identifying research gaps and priorities for African family medicine and primary health care.

No abstract available.

Evaluating the new family medicine internship programmes in the Western Cape, South Africa.

BACKGROUND:  In 2021, South Africa introduced a new 6-month internship in family medicine and primary care. This study aimed to assess the new rotation at district health facilities in the Western Cape. METHODS:  A descriptive survey of interns and supervisors, as phase-two of an exploratory sequential mixed methods study. Questionnaires were developed from a descriptive exploratory qualitative study. Data were analysed with the Statistical Package for Social Sciences. RESULTS:  Questionnaires were completed by 72 interns (response rate 21%) and 36 supervisors (response rate 90%), across 10 training programmes. Interns felt more independent (97.2%), confident (90.3%) and resilient (91.6%). They learnt to manage undifferentiated and chronic conditions (91.6%), to refer patients (94.3%) and conduct procedures (77.8%). Most interns were not exposed to community-based services (68.0%) and continuity of care (54.1%). Supervision was mostly adequate during the day (79.1%) and afterhours (80.6%). Many interns reported no structured teaching programme (41.7% - 55.6%). Most supervision was from medical officers and registrars. Supervisors saw interns as valuable members of the clinical team (100.0%), who required extra support and administration (42.5%). The majority of interns (75.0%) and supervisors (72.7%) thought the rotation was the right length and the best preparation for community service (67.6%). CONCLUSION:  The rotation met most expectations of the Health Professions Council of South Africa. Programmes need to improve exposure to community-orientated primary care, public health medicine, palliative and ongoing care. Supervision and orientation of interns needs improvement.Contribution: This is the first evaluation of the new family medicine internship programme in South Africa.

The career pathways of new family physicians in South Africa from 2008 to 2022.

BACKGROUND:  Family medicine has trained specialist family physicians in South Africa since 2008, but not investigated their career pathways. The study aimed to determine the career pathways of newly qualified family physicians between 2008 and 2022. METHODS:  A cross-sectional descriptive survey of all 186 family physicians via an electronic questionnaire. RESULTS:  Response rate was 44.6% (83/186). Overall, 9.6% emigrated, 10.8% were no longer practising, and 79.5% were still practising in South Africa. Of the latter, 14.5% were in the private sector, 55.4% in the public sector and 9.6% in both. Of those in the public sector, 33.7% were in specialist family physician posts, 12% in medical officer posts, 4.8% in managerial positions and 4.8% in academic positions. Issues relating to safety and security were important to those working in both sectors and relationships with colleagues in the clinical team, to those in the public sector. Overall, participants practised near or within their province of training and were not equitably distributed. CONCLUSION:  Only a third of graduates were in specialist family physician posts in the public sector. Attention needs to be given to retaining more graduates in such posts to achieve the goals of the national position paper. The proportion in the private sector was lower than expected. The reasons for no longer practising medicine should be further explored.Contribution: This is the first study on the career pathways of family physicians in South Africa since the new speciality was created. Understanding these pathways will assist with human resources for health planning.

Mastering your fellowship: Part 4, 2024.

The 'Mastering your Fellowship' series provides examples of the question format encountered in the written and clinical examinations for the Fellowship of the College of Family Physicians of South Africa (FCFP [SA]) examination. The series is aimed at helping family medicine registrars prepare for this examination. Model answers are available online.

Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications.

BACKGROUND: The potential for machine learning (ML) to enhance the efficiency of medical specialty boards has not been explored. We applied unsupervised ML to identify archetypes among American Board of Family Medicine (ABFM) Diplomates regarding their practice characteristics and motivations for participating in continuing certification, then examined associations between motivation patterns and key recertification outcomes. METHODS: Diplomates responding to the 2017 to 2021 ABFM Family Medicine continuing certification examination surveys selected motivations for choosing to continue certification. We used Chi-squared tests to examine difference proportions of Diplomates failing their first recertification examination attempt who endorsed different motivations for maintaining certification. Unsupervised ML techniques were applied to generate clusters of physicians with similar practice characteristics and motivations for recertifying. Controlling for physician demographic variables, we used logistic regression to examine the effect of motivation clusters on recertification examination success and validated the ML clusters by comparison with a previously created classification schema developed by experts. RESULTS: ML clusters largely recapitulated the intrinsic/extrinsic framework devised by experts previously. However, the identified clusters achieved a more equal partitioning of Diplomates into homogenous groups. In both ML and human clusters, physicians with mainly extrinsic or mixed motivations had lower rates of examination failure than those who were intrinsically motivated. DISCUSSION: This study demonstrates the feasibility of using ML to supplement and enhance human interpretation of board certification data. We discuss implications of this demonstration study for the interaction between specialty boards and physician Diplomates.

The Scope of Multimorbidity in Family Medicine: Identifying Age Patterns Across the Lifespan.

INTRODUCTION: Multimorbidity rates are both increasing in prevalence across age ranges, and also increasing in diagnostic importance within and outside the family medicine clinic. Here we aim to describe the course of multimorbidity across the lifespan. METHODS: This was a retrospective cohort study across 211,953 patients from a large northeastern health care system. Past medical histories were collected in the form of ICD-10 diagnostic codes. Rates of multimorbidity were calculated from comorbid diagnoses defined from the ICD10 codes identified in the past medical histories. RESULTS: We identify 4 main age groups of diagnosis and multimorbidity. Ages 0 to 10 contain diagnoses which are infectious or respiratory, whereas ages 10 to 40 are related to mental health. From ages 40 to 70 there is an emergence of alcohol use disorders and cardiometabolic disorders. And ages 70 to 90 are predominantly long-term sequelae of the most common cardiometabolic disorders. The mortality of the whole population over the study period was 5.7%, whereas the multimorbidity with the highest mortality across the study period was Circulatory Disorders-Circulatory Disorders at 23.1%. CONCLUSION: The results from this study provide a comparison for the presence of multimorbidity within age cohorts longitudinally across the population. These patterns of comorbidity can assist in the allocation to practice resources that will best support the common conditions that patients need assistance with, especially as the patients transition between pediatric, adult, and geriatric care. Future work examining and comparing multimorbidity indices is warranted.