Challenges in primary care for diabetes and hypertension: an observational study of the Kolar district in rural India.

BACKGROUND: Chronic diseases have emerged as the leading cause of death globally, and 20% of Indians are estimated to suffer from a chronic condition. Care for chronic diseases poses a major public health challenge, especially when health care delivery has been geared traditionally towards acute care. In this study, we aimed to better understand how primary care for diabetes and hypertension is currently organised in first-line health facilities in rural India, and propose evidence-based ways forward for strengthening local health systems to address chronic problems. METHODS: We used qualitative and quantitative methods to gain insight into how care is organised and how patients and providers manage within this delivery system. We conducted in-depth interviews with the medical doctors working in three private clinics and in three public primary health centres. We also interviewed 24 patients with chronic diseases receiving care in the two sub-sectors. Non-participant observations and facility assessments were performed to triangulate the findings from the interviews. RESULTS: The current delivery system has many problems impeding the delivery of quality care for chronic conditions. In both the public and private facilities studied, the care processes are very doctor-centred, with little room for other health centre staff. Doctors face very high workloads, especially in the public sector, jeopardising proper communication with patients and adequate counselling. In addition, the health information system is fragmented and provides little or no support for patient follow-up and self-management. The patient is largely left on their own in trying to make sense of their condition and in finding their way in a complex and scattered health care landscape. CONCLUSIONS: The design and organisation of care for persons with chronic diseases in India needs to be rethought. More space and responsibility should be given to the primary care level, and relatively less to the more specialised hospital level. Furthermore, doctors should consider delegating some of their tasks to other staff in the first-line health facility to significantly reduce their workload and increase time available for communication. The health information system needs to be adapted to better ensure continuity of care and support self-management by patients.

Task shifting of frontline community health workers for cardiovascular risk reduction: design and rationale of a cluster randomised controlled trial (DISHA study) in India.

BACKGROUND: Effective task-shifting interventions targeted at reducing the global cardiovascular disease (CVD) epidemic in low and middle-income countries (LMICs) are urgently needed. METHODS: DISHA is a cluster randomised controlled trial conducted across 10 sites (5 in phase 1 and 5 in phase 2) in India in 120 clusters. At each site, 12 clusters were randomly selected from a district. A cluster is defined as a small village with 250-300 households and well defined geographical boundaries. They were then randomly allocated to intervention and control clusters in a 1:1 allocation sequence. If any of the intervention and control clusters were <10 km apart, one was dropped and replaced with another randomly selected cluster from the same district. The study included a representative baseline cross-sectional survey, development of a structured intervention model, delivery of intervention for a minimum period of 18 months by trained frontline health workers (mainly Anganwadi workers and ASHA workers) and a post intervention survey in a representative sample. The study staff had no information on intervention allocation until the completion of the baseline survey. In order to ensure comparability of data across sites, the DISHA study follows a common protocol and manual of operation with standardized measurement techniques. DISCUSSION: Our study is the largest community based cluster randomised trial in low and middle-income country settings designed to test the effectiveness of 'task shifting' interventions involving frontline health workers for cardiovascular risk reduction. TRIAL REGISTRATION: CTRI/2013/10/004049 . Registered 7 October 2013.

Effectiveness of Influenza Vaccination for Individuals with Chronic Obstructive Pulmonary Disease (COPD) in Low- and Middle-Income Countries.

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death globally. In addition to the mortality associated with it, people with COPD experience significant morbidity, making this set of conditions a major public health concern. Infections caused by influenza virus are a preventable cause of morbidity and vaccination has been shown to be effective. The evidence of their benefit in persons with COPD mainly comes from high-income countries where influenza vaccination is used in routine practice, but little is known about the effectiveness, cost-effectiveness, and scalability of vaccination in low- and middle-income countries. We therefore systematically reviewed and present evidence related to vaccination against influenza in persons with COPD with a special focus on studies from low- and middle-income countries (LMICs). Available data from 19 studies suggest that the use of influenza vaccine in persons with COPD is beneficial, cost-effective, and may be relevant for low- and middle-income countries. Wider implementation of this intervention needs to take into account the health care delivery systems of LMICs and use of prevalent viral strains in vaccines to be most cost effective.

An interpretative phenomenological analysis of the lived experience of people with multimorbidity in low- and middle-income countries.

People living with multimorbidity (PLWMM) have multiple needs and require long-term personalised care, which necessitates an integrated people-centred approach to healthcare. However, people-centred care may risk being a buzzword in global health and cannot be achieved unless we consider and prioritise the lived experience of the people themselves. This study captures the lived experiences of PLWMM in low- and middle-income countries (LMICs) by exploring their perspectives, experiences, and aspirations.We analysed 50 semi-structured interview responses from 10 LMICs across three regions-South Asia, Latin America, and Western Africa-using an interpretative phenomenological analysis approach.The bodily, social, and system experiences of illness by respondents were multidirectional and interactive, and largely captured the complexity of living with multimorbidity. Despite expensive treatments, many experienced little improvements in their conditions and felt that healthcare was not tailored to their needs. Disease management involved multiple and fragmented healthcare providers with lack of guidance, resulting in repetitive procedures, loss of time, confusion, and frustration. Financial burden was exacerbated by lost productivity and extreme finance coping strategies, creating a vicious cycle. Against the backdrop of uncertainty and disruption due to illness, many demonstrated an ability to cope with their conditions and navigate the healthcare system. Respondents' priorities were reflective of their desire to return to a pre-illness way of life-resuming work, caring for family, and maintaining a sense of independence and normalcy despite illness. Respondents had a wide range of needs that required financial, health education, integrated care, and mental health support.In discussion with respondents on outcomes, it appeared that many have complementary views about what is important and relevant, which may differ from the outcomes established by clinicians and researchers. This knowledge needs to complement and be incorporated into existing research and treatment models to ensure healthcare remains focused on the human and our evolving needs.

Are physicians ready for precision antibiotic prescribing? A qualitative analysis of the acceptance of artificial intelligence-enabled clinical decision support systems in India and Singapore.

OBJECTIVES: Artificial intelligence (AI)-driven clinical decision support systems (CDSSs) can augment antibiotic decision-making capabilities, but physicians' hesitancy in adopting them may undermine their utility. We conducted a cross-country comparison of physician perceptions on the barriers and facilitators in accepting an AI-enabled CDSS for antibiotic prescribing. METHODS: We conducted in-depth interviews with physicians from the National Centre for Infectious Diseases (NCID), Singapore, and Christian Medical College Vellore (CMCV), India, between April and December 2022. Our semi-structured in-depth interview guides were anchored on Venkatesh's UTAUT model. We used clinical vignettes to illustrate the application of AI in clinical decision support for antibiotic prescribing and explore medico-legal concerns. RESULTS: Most NCID physicians felt that an AI-enabled CDSS could facilitate antibiotic prescribing, while most CMCV physicians were sceptical about the tool's utility. The hesitancy in adopting an AI-enabled CDSS stems from concerns about the lack of validated and successful examples, fear of losing autonomy and clinical skills, difficulty of use, and impediment in work efficiency. Physicians from both sites felt that a user-friendly interface, integration with workflow, transparency of output, a guiding medico-legal framework, and training and technical support would improve the uptake of an AI-enabled CDSS. CONCLUSION: In conclusion, the acceptance of AI-enabled CDSSs depends on the physician's confidence with the tool's recommendations, perceived ease of use, familiarity with AI, the organisation's digital culture and support, and the presence of medico-legal governance of AI. Progressive implementation and continuous feedback are essential to allay scepticism around the utility of AI-enabled CDSSs.

The community health impasse: What can family physicians learn about integration of social determinants of health from the challenges, diversity, and worldview of primary healthcare practices located in Southern India?

CONTEXT: As social position rises, health improves. Alma Ata set the stage for community-oriented primary care (COPC), and family medicine is perfectly positioned to integrate Social Determinants of Health. India presents a unique environment for innovations in family medicine. AIMS: This study aimed to (1) assess the ability of different primary care practices to address the social determinants of health (SDoH); (2) identify key obstacles and supports; and (3) provide practical insights to family physicians and other primary care providers (PCPs) for the integration of SDoH and clinical primary care. SETTINGS AND DESIGN: A diverse sample of primary healthcare practices were selected in southern India for investigation. Data collection involved observation and informal interviews. METHODS AND MATERIAL: The researchers used general observation and informal interviews to collect data. Investigators used a basic interview guide to structure conversations and formal journal entries were recorded immediately following each visit. STATISTICAL ANALYSIS USED: Thematic analysis was conducted with NVIVO software to categorize major themes. RESULTS: Seventeen primary healthcare practices were observed; eleven were formally enrolled for interviews. Four inputs and three outputs of socially oriented primary care practices were identified. The inputs include leadership style, appropriate staffing, funding structures, and patient panels. Social interventions, community contact, and treasuring community empowerment were the major outputs. CONCLUSIONS: Community health lies at the heart of strengthening primary healthcare. Establishing practices that bridge the gap between clinical primary care and SDoH initiatives need to be prioritized. This study fosters agency for family physicians and PCPs to engage with local communities and lead the path toward this integration.

Team-based primary health care for non-communicable diseases: complexities in South India.

Chronic non-communicable diseases (NCDs), such as diabetes and cardiovascular diseases, have reached epidemic proportions worldwide. Health systems, especially those in low- and middle-income countries, such as India, struggle to deliver quality chronic care. A reorganization of healthcare service delivery is needed to strengthen care for chronic conditions. In this study, we evaluated the implementation of a package of tailored interventions to reorganize care, which were identified following a detailed analysis of gaps in delivering quality NCD care at the primary care level in India. Interventions included a redesign of the workflow at primary care clinics, a redistribution of tasks, the introduction of patient information records and the involvement of community health workers in the follow-up of patients with NCDs. An experimental case study design was chosen to study the implementation of the quality improvement measures. Three public primary care facilities in rural South India were selected. Qualitative methods were used to gain an in-depth understanding of the implementation process and outcomes of implementation. Observations, field notes and semi-structured interviews with staff at these facilities (n = 15) were thematically analysed to identify contextual factors that influenced implementation. Only one of the primary health centres implemented all components of the intervention by the end of 9 months. The main barriers to implementation were hierarchical arrangements that inhibited team-based care, the amount of time required for counselling and staff transfers. Team cohesion, additional staff and staff motivation seem to have facilitated implementation. This quality improvement research highlights the importance of building relational leadership to enable team-based care at primary care clinics in India. Redesigned organization of care and task redistribution is important solutions to deliver quality chronic care. However, implementing these will require capacity building of local primary care teams.

Improving primary care for diabetes and hypertension: findings from implementation research in rural South India.

BACKGROUND: Chronic conditions are a leading cause of death and disability worldwide. Low-income and middle-income countries such as India bear a significant proportion of this global burden. Redesigning primary care from an acute-care model to a model that facilitates chronic care is a challenge and requires interventions at multiple levels. OBJECTIVES: In this intervention study, we aimed to strengthen primary care for diabetes and hypertension at publicly funded primary healthcare centres (PHCs) in rural South India. DESIGN AND METHODS: The complexities of transforming the delivery of primary care motivated us to use a 'theory of change' approach to design, implement and evaluate the interventions. We used both quantitative and qualitative data collection methods. Data from patient records regarding processes of care, glycaemic and blood pressure control, interviews with patients, observations and field notes were used to analyse what changes occurred and why. INTERVENTIONS: We implemented the interventions for 9 months at three PHCs: (1) rationalise workflow to include essential tasks like counselling and measurement of blood pressure/blood glucose at each visit; (2) distribute clinical tasks among staff; (3) retain clinical records at the health facility and (4) capacity building of staff. RESULTS: We found that interventions were implemented at all three PHCs for the first 4 months but did not continue at two of the PHCs. This fadeout was most likely the result of staff transfers and a doctor's reluctance to share tasks. The availability of an additional staff member in the role of a coordinator most likely influenced the relative success of implementation at one PHC. CONCLUSION: These findings draw attention to the need for building teams in primary care for managing chronic conditions. The role of a coordinator emerged as an important consideration, as did the need for a stable core of staff to provide continuity of care.

Models of care for chronic conditions in low/middle-income countries: a 'best fit' framework synthesis.

Management of chronic conditions is a challenge for healthcare delivery systems world over and especially for low/middle-income countries (LMIC). Redesigning primary care to deliver quality care for chronic conditions is a need of the hour. However, much of the literature is from the experience of high-income countries. We conducted a synthesis of qualitative findings regarding care for chronic conditions at primary care facilities in LMICs. The themes identified were used to adapt the existing chronic care model (CCM) for application in an LMIC using the 'best fit' framework synthesis methodology. Primary qualitative research studies were systematically searched and coded using themes of the CCM. The results that could not be coded were thematically analysed to generate themes to enrich the model. Search strategy keywords were: primary health care, diabetes mellitus type 2, hypertension, chronic disease, developing countries, low, middle-income countries and LMIC country names as classified by the World Bank. The search yielded 404 articles, 338 were excluded after reviewing abstracts. Further, 42 articles were excluded based on criteria. Twenty-four studies were included for analysis. All themes of the CCM, identified a priori, were represented in primary studies. Four additional themes for the model were identified: a focus on the quality of communication between health professionals and patients, availability of essential medicines, diagnostics and trained personnel at decentralised levels of healthcare, and mechanisms for coordination between healthcare providers. We recommend including these in the CCM to make it relevant for application in an LMIC.

Comparison of multiple obesity indices for cardiovascular disease risk classification in South Asian adults: The CARRS Study.

BACKGROUND: We comparatively assessed the performance of six simple obesity indices to identify adults with cardiovascular disease (CVD) risk factors in a diverse and contemporary South Asian population. METHODS: 8,892 participants aged 20-60 years in 2010-2011 were analyzed. Six obesity indices were examined: body mass index (BMI), waist circumference (WC), waist-height ratio (WHtR), waist-hip ratio (WHR), log of the sum of triceps and subscapular skin fold thickness (LTS), and percent body fat derived from bioelectric impedance analysis (BIA). We estimated models with obesity indices specified as deciles and as continuous linear variables to predict prevalent hypertension, diabetes, and high cholesterol and report associations (prevalence ratios, PRs), discrimination (area-under-the-curve, AUCs), and calibration (index χ2). We also examined a composite unhealthy cardiovascular profile score summarizing glucose, lipids, and blood pressure. RESULTS: No single obesity index consistently performed statistically significantly better than the others across the outcome models. Based on point estimates, WHtR trended towards best performance in classifying diabetes (PR = 1.58 [1.45-1.72], AUC = 0.77, men; PR = 1.59 [1.47-1.71], AUC = 0.80, women) and hypertension (PR = 1.34 [1.26,1.42], AUC = 0.70, men; PR = 1.41 [1.33,1.50], AUC = 0.78, women). WC (mean difference = 0.24 SD [0.21-0.27]) and WHtR (mean difference = 0.24 SD [0.21,0.28]) had the strongest associations with the composite unhealthy cardiovascular profile score in women but not in men. CONCLUSIONS: WC and WHtR were the most useful indices for identifying South Asian adults with prevalent diabetes and hypertension. Collection of waist circumference data in South Asian health surveys will be informative for population-based CVD surveillance efforts.

Organization of primary health care for diabetes and hypertension in high, low and middle income countries.

Chronic non-communicable diseases, predominantly diabetes and cardiovascular disease are a major public health problem globally. The chronicity of these diseases necessitates a restructuring of healthcare to address the multidisciplinary, sustained care including psychosocial support and development of self-management skills. Primary healthcare with elements of the chronic-care model provides the best opportunity for engagement with the health system. In this review, the authors discuss aspects of primary healthcare for management of diabetes and hypertension and innovations such as mobile-phone messaging, web-based registries, computer-based decision support systems and multifaceted health professionals in the care team among others that are being tested to improve the quality of care for these diseases in high, middle and low-income countries. The goal of quality care for diabetes and hypertension demands innovation within the realities of health systems both in high as well as low and middle-income countries.