Integrated chronic disease care delivery at a primary care level in sub-Saharan Africa: A systematic review, best fit framework synthesis, and new conceptual model

Background: Existing chronic care conceptual models were not designed for sub-Saharan Africa, where there is a growing burden of chronic disease. This review provides a qualitative synthesis and new conceptual model for primary care approaches to the integration of chronic communicable and non-communicable disease care in a sub-Saharan African context. Methods: A best fit framework synthesis comprising two systematic reviews, with information retrieved from PubMed, Embase, CINAHL plus, Global Health, and Global Index Medicus databases between 1st and 30th April 2020. Articles on chronic care conceptual models were included if they were developed for application in a primary care context and described a framework for long-term management of chronic disease care, and themes extracted to construct an a priori framework. A second systematic review included articles focussing on integrated HIV and diabetes care at a primary care level in sub-Saharan Africa, with thematic analysis carried out against the a priori framework. A new conceptual model was constructed from a priori themes and new themes. Risk of bias of included studies was assessed using CASP and MMAT. Results: Two conceptual models of chronic disease care, comprising 6 themes, were used to build the a priori framework. The systematic review of primary research identified 12 articles, with all 6 of the a priori framework themes, and 5 new themes identified. A new patient-centred conceptual model for integrated HIV and diabetes care was constructed, specific to a sub-Saharan African context. Discussion: Improving patient access to chronic disease care through implementing decentralised, integrated, affordable and efficient primary care services should be prioritised in sub-Saharan Africa. Services must be acceptable to patients, viewing them as partners, addressing their concerns, and seeking to safeguard confidentiality. Limitations of this study include potential publication bias, and impact of policy environment and economic factors in sub-Saharan Africa.

Patient experiences and perceptions of chronic disease care during the COVID-19 pandemic in India: a qualitative study

ObjectivePeople with chronic conditions are known to be vulnerable to the COVID-19 pandemic. This study aims to describe patients’ lived experiences, challenges faced by people with chronic conditions, their coping strategies, and the social and economic impacts of the COVID-19 pandemic.Design, setting and participantsWe conducted a qualitative study using a syndemic framework to understand the patients’ experiences of chronic disease care, challenges faced during the lockdown, their coping strategies and mitigators during the COVID-19 pandemic in the context of socioecological and biological factors. A diverse sample of 41 participants with chronic conditions (hypertension, diabetes, stroke and cardiovascular diseases) from four sites (Delhi, Haryana, Vizag and Chennai) in India participated in semistructured interviews. All interviews were audio recorded, transcribed, translated, anonymised and coded using MAXQDA software. We used the framework method to qualitatively analyse the COVID-19 pandemic impacts on health, social and economic well-being.ResultsParticipant experiences during the COVID-19 pandemic were categorised into four themes: challenges faced during the lockdown, experiences of the participants diagnosed with COVID-19, preventive measures taken and lessons learnt during the COVID-19 pandemic. A subgroup of participants faced difficulties in accessing healthcare while a few reported using teleconsultations. Most participants reported adverse economic impact of the pandemic which led to higher reporting of anxiety and stress. Participants who tested COVID-19 positive reported experiencing discrimination and stigma from neighbours. All participants reported taking essential preventive measures.ConclusionPeople with chronic conditions experienced a confluence (reciprocal effect) of COVID-19 pandemic and chronic diseases in the context of difficulty in accessing healthcare, sedentary lifestyle and increased stress and anxiety. Patients’ lived experiences during the pandemic provide important insights to inform effective transition to a mixed realm of online consultations and ‘distanced’ physical clinic visits.

Leveraging Artificial Intelligence to Improve Chronic Disease Care: Methods and Application to Pharmacotherapy Decision Support for Type-2 Diabetes Mellitus

Objectives Artificial intelligence (AI), including predictive analytics, has great potential to improve the care of common chronic conditions with high morbidity and mortality. However, there are still many challenges to achieving this vision. The goal of this project was to develop and apply methods for enhancing chronic disease care using AI. Methods Using a dataset of 27,904 patients with diabetes, an analytical method was developed and validated for generating a treatment pathway graph which consists of models that predict the likelihood of alternate treatment strategies achieving care goals. An AI-driven clinical decision support system (CDSS) integrated with the electronic health record (EHR) was developed by encapsulating the prediction models in an OpenCDS Web service module and delivering the model outputs through a SMART on FHIR (Substitutable Medical Applications and Reusable Technologies on Fast Healthcare Interoperability Resources) web-based dashboard. This CDSS enables clinicians and patients to review relevant patient parameters, select treatment goals, and review alternate treatment strategies based on prediction results. Results The proposed analytical method outperformed previous machine-learning algorithms on prediction accuracy. The CDSS was successfully integrated with the Epic EHR at the University of Utah. Conclusion A predictive analytics-based CDSS was developed and successfully integrated with the EHR through standards-based interoperability frameworks. The approach used could potentially be applied to many other chronic conditions to bring AI-driven CDSS to the point of care.

Integration of mental health counselling into chronic disease services at the primary health care level: Formative research on dedicated versus designated strategies in the Western Cape, South Africa

Objective To explore health care providers’ views on the acceptability and feasibility of two models for integrating facility-based counsellor delivered mental health counselling into chronic disease care, and how such an approach could be improved in South Africa. Methods Fourteen focus group discussions and 25 in-depth individual interviews were conducted with 109 health care workers and facility managers from 24 primary health clinics in the Western Cape, South Africa. Results Findings suggested that despite recent efforts to integrate mental health counselling into chronic disease services for common mental disorders, there remains limited availability of psychosocial and psychological counselling. Feedback on the two models of integration suggested equipoise and the potential of a hybrid approach where these approaches may be tailored to the specific needs and available resources of each facility. Participants identified constraints within the health system and broader social context that require consideration for integrating mental health counselling into chronic disease care. Conclusion Although study participants unanimously agreed that counselling for common mental disorders should be integrated into chronic disease services, they had differing views on the type of model that should be adopted. There is a need for further testing of the two models and aspects of the health service that may require strengthening to implement any such model.

The evidence gap on gendered impacts of performance-based financing among family physicians for chronic disease care: a systematic review reanalysis in contexts of single-payer universal coverage

Background Although pay-for-performance (P4P) among primary care physicians for enhanced chronic disease management is increasingly common, the evidence base is fragmented in terms of socially equitable impacts in achieving the quadruple aim for healthcare improvement: better population health, reduced healthcare costs, and enhanced patient and provider experiences. This study aimed to assess the literature from a systematic review on how P4P for diabetes services impacts on gender equity in patient outcomes and the physician workforce. Methods A gender-based analysis was performed of studies retrieved through a systematic search of 10 abstract and citation databases plus grey literature sources for P4P impact assessments in multiple languages over the period January 2000 to April 2018, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The study was restricted to single-payer national health systems to minimize the risk of physicians sorting out of health organizations with a strong performance pay component. Two reviewers scored and synthesized the integration of sex and gender in assessing patient- and provider-oriented outcomes as well as the quality of the evidence. Findings Of the 2218 identified records, 39 studies covering eight P4P interventions in seven countries were included for analysis. Most (79%) of the studies reported having considered sex/gender in the design, but only 28% presented sex-disaggregated patient data in the results of the P4P assessment models, and none (0%) assessed the interaction of patients’ sex with the policy intervention. Few (15%) of the studies controlled for the provider’s sex, and none (0%) discussed impacts of P4P on the work life of providers from a gender perspective (e.g., pay equity). Conclusions There is a dearth of evidence on gender-based outcomes of publicly funded incentivizing physician payment schemes for chronic disease care. As the popularity of P4P to achieve health system goals continues to grow, so does the risk of unintended consequences. There is a critical need for research integrating gender concerns to help inform performance-based health workforce financing policy options in the era of the Sustainable Development Goals.