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.

Patients pathways to tuberculosis diagnosis and treatment in a fragmented health system: a qualitative study from a south Indian district.

BACKGROUND: India's Revised National Tuberculosis (TB) Control Programme (RNTCP) offers free TB diagnosis and treatment. But more than 50% of TB patients seek care from private practitioners (PPs), where TB is managed sub-optimally. In India, there is dearth of studies capturing experiences of TB patients when they navigate through health facilities to seek care. Also, there is less information available on how PPs make decisions to refer TB cases to RNTCP. We conducted this study to understand the factors influencing TB patient's therapeutic itineraries to RNTCP and PP's cross referral practices linked to RNTCP. METHODS: We conducted in-depth interviews on a purposive sample of 33 TB patients and 38 PPs. Patients were categorised into three groups: those who reached RNTCP directly, those who were referred by PPs to RNTCP and patients who took DOT from PPs. We assessed patient's experiences in each category and documented their journey from initial symptoms until they reached RNTCP, where they were diagnosed and started on treatment. PPs were categorised into three groups based on their TB case referrals to RNTCP: actively-referring, minimally-referring and non-referring. RESULTS: Patients had limited awareness about TB. Patients switched from one provider to the other, since their symptoms were not relieved. A first group of patients, self-medicated by purchasing get rid drugs from private chemists over the counter, before seeking care. A second group sought care from government facilities and had simple itineraries. A third group who sought care from PPs, switched concurrently and/or iteratively from public and private providers in search for relief of symptoms causing important diagnostic delays. Eventually all patients reached RNTCP, diagnosed and started on treatment. PP's cross-referral practices were influenced by patient's paying capacity, familiarity with RNTCP, kickbacks from private labs and chemists, and even to get rid of TB patients. These trade-offs by PPs complicated patient's itineraries to RNTCP. CONCLUSIONS: India aims to achieve universal health care for TB. Our study findings help RNTCP to develop initiatives to promote early detection of TB, by involving PPs and private chemists and establish effective referral systems from private sectors to RNTCP.

Improving access to medicines for non-communicable diseases in rural India: a mixed methods study protocol using quasi-experimental design.

BACKGROUND: India has the distinction of financing its healthcare mainly through out-of-pocket expenses by individual families contributing to catastrophic health expenditure and impoverishment. Nearly 70 % of the expenditure is on medicines purchased at private pharmacies. Patients with chronic ailments are especially affected, as they often need lifelong medicines. Over the past years in India, there have been several efforts to improve drug availability at government primary health centres. In this study, we aim to understand health system factors that affect utilisation and access to generic medicines for people with non-communicable diseases. METHODS: This study aims to understand if (and how) a package of interventions targeting primary health centres and community participation platforms affect utilisation and access to generic medicines for people with non-communicable diseases in the current district context in India. This study will employ a quasi-experimental design and a qualitative theory-driven approach. PHCs will be randomly assigned to one of three arms of the intervention. In one arm, PHCs will receive inputs to optimise service delivery for non-communicable diseases, while the second arm will receive an additional package of interventions to strengthen community participation platforms for improving non-communicable disease care. The third arm will be the control. We will conduct household and facility surveys, before and after the intervention and will estimate the effect of the intervention by difference-in-difference analysis. Sample size for measuring effects was calculated based on obtaining at least 30 households for each primary health centre spread across three distance-based clusters. Primary outcomes include availability and utilisation of medicines at primary health centres and out-of-pocket expenditure for medicines by non-communicable disease households. Focus group discussions with patients and in-depth interviews with health workers will also be conducted. Qualitative and process documentation data will be used to explain how the intervention could have worked. DISCUSSION: By taking into consideration several health system building blocks and trying to understand how they interact, our study aims to generate evidence for health planners on how to optimise health services to improve access to medicines. TRIAL REGISTRATION: Protocol registered on Clinical Trials Registry of India with registration identifier number CTRI/2015/03/005640 on 17(th) March 2015.

The rising burden of chronic conditions among urban poor: a three-year follow-up survey in Bengaluru, India.

BACKGROUND: Chronic conditions are on rise globally and in India. Prevailing intra-urban inequities in access to healthcare services compounds the problems faced by urban poor. This paper reports the trends in self-reported prevalence of chronic conditions and health-seeking pattern among residents of a poor urban neighborhood in south India. METHODS: A cross sectional survey of 1099 households (5340 individuals) was conducted using a structured questionnaire. The prevalence and health-seeking pattern for chronic conditions in general and for hypertension and diabetes in particular were assessed and compared with a survey conducted in the same community three years ago. The predictors of prevalence and health-seeking pattern were analyzed through a multivariable logistic regression analysis. RESULTS: The overall self-reported prevalence of chronic conditions was 12%, with hypertension (7%) and diabetes (5.8%) being the common conditions. The self-reported prevalence of chronic conditions increased by 3.8 percentage point over a period of three years (OR: 1.5). Older people, women and people living below the poverty line had greater odds of having chronic conditions across the two studies compared. Majority of patients (89.3%) sought care from private health facilities indicating a decrease by 8.7 percentage points in use of government health facility compared to the earlier study (OR: 0.5). Patients seeking care from super specialty hospitals and those living below the poverty line were more likely to seek care from government health facilities. CONCLUSION: There is need to strengthen health services with a preferential focus on government services to assure affordable care for chronic conditions to urban poor.

Advancing the application of systems thinking in health: a realist evaluation of a capacity building programme for district managers in Tumkur, India.

BACKGROUND: Health systems interventions, such as capacity-building of health workers, are implemented across districts in order to improve performance of healthcare organisations. However, such interventions often work in some settings and not in others. Local health systems could be visualised as complex adaptive systems that respond variously to inputs of capacity building interventions, depending on their local conditions and several individual, institutional, and environmental factors. We aim at demonstrating how the realist evaluation approach advances complex systems thinking in healthcare evaluation by applying the approach to understand organisational change within local health systems in the Tumkur district of southern India. METHODS: We collected data on several input, process, and outcome measures of performance of the talukas (administrative sub-units of the district) and explore the interplay between the individual, institutional, and contextual factors in contributing to the outcomes using qualitative data (interview transcripts and observation notes) and quantitative measures of commitment, self-efficacy, and supervision style. RESULTS: The talukas of Tumkur district responded differently to the intervention. Their responses can be explained by the interactions between several individual, institutional, and environmental factors. In a taluka with committed staff and a positive intention to make changes, the intervention worked through aligning with existing opportunities from the decentralisation process to improve performance. However, commitment towards the organisation was neither crucial nor sufficient. Committed staff in two other talukas were unable to actualise their intentions to improve organisational performance. In yet another taluka, the leadership was able to compensate for the lack of commitment. CONCLUSIONS: Capacity building of local health systems could work through aligning or countering existing relationships between internal (individual and organisational) and external (policy and socio-political environment) attributes of the organisation. At the design and implementation stage, intervention planners need to identify opportunities for such triggering alignments. Local health systems may differ in their internal configuration and hence capacity building programmes need to accommodate possibilities for change through different pathways. By a process of formulating and testing hypotheses, making critical comparisons, discovering empirical patterns, and monitoring their scope and extent, a realist evaluation enables a comprehensive assessment of system-wide change in health systems.

No longer diseases of the wealthy: prevalence and health-seeking for self-reported chronic conditions among urban poor in Southern India.

BACKGROUND: The burden of chronic conditions is high in low- and middle-income countries and poses a significant challenge to already weak healthcare delivery systems in these countries. Studies investigating chronic conditions among the urban poor remain few and focused on specific chronic conditions rather than providing overall profile of chronic conditions in a given community, which is critical for planning and managing services within local health systems. We aimed to assess the prevalence and health- seeking behaviour for self-reported chronic conditions in a poor neighbourhood of a metropolitan city in India. METHODS: We conducted a house-to-house survey covering 9299 households (44514 individuals) using a structured questionnaire. We relied on self-report by respondents to assess presence of any chronic conditions, including diabetes and hypertension. Multivariable logistic regression was used to analyse the prevalence and health-seeking behaviour for self-reported chronic conditions in general as well as for diabetes and hypertension in particular. The predictor variables included age, sex, income, religion, household poverty status, presence of comorbid chronic conditions, and tiers in the local health care system. RESULTS: Overall, the prevalence of self-reported chronic conditions was 13.8% (95% CI = 13.4, 14.2) among adults, with hypertension (10%) and diabetes (6.4%) being the most commonly reported conditions. Older people and women were more likely to report chronic conditions. We found reversal of socioeconomic gradient with people living below the poverty line at significantly greater odds of reporting chronic conditions than people living above the poverty line (OR = 3, 95% CI = 1.5, 5.8). Private healthcare providers managed over 80% of patients. A majority of patients were managed at the clinic/health centre level (42.9%), followed by the referral hospital (38.9%) and the super-specialty hospital (18.2%) level. An increase in income was positively associated with the use of private facilities. However, elderly people, people below the poverty line, and those seeking care from hospitals were more likely to use government services. CONCLUSIONS: Our findings provide further evidence of the urgent need to improve care for chronic conditions for urban poor, with a preferential focus on improving service delivery in government health facilities.

Promoting universal financial protection: evidence from the Rashtriya Swasthya Bima Yojana (RSBY) in Gujarat, India.

BACKGROUND: India's health expenditure is met mostly by households through out-of-pocket (OOP) payments at the time of illness. To protect poor families, the Indian government launched a national health insurance scheme (RSBY). Those below the national poverty line (BPL) are eligible to join the RSBY. The premium is heavily subsidised by the government. The enrolled members receive a card and can avail of free hospitalisation care up to a maximum of US$ 600 per family per year. The hospitals are reimbursed by the insurance companies. The objective of our study was to analyse the extent to which RSBY contributes to universal health coverage by protecting families from making OOP payments. METHODS: A two-stage stratified sampling technique was used to identify eligible BPL families in Patan district of Gujarat, India. Initially, all 517 villages were listed and 78 were selected randomly. From each of these villages, 40 BPL households were randomly selected and a structured questionnaire was administered. Interviews and discussions were also conducted among key stakeholders. RESULTS: Our sample contained 2,920 households who had enrolled in the RSBY; most were from the poorer sections of society. The average hospital admission rate for the period 2010-2011 was 40/1,000 enrolled. Women, elderly and those belonging to the lowest caste had a higher hospitalisation rate. Forty four per cent of patients who had enrolled in RSBY and had used the RSBY card still faced OOP payments at the time of hospitalisation. The median OOP payment for the above patients was US$ 80 (interquartile range, $16-$200) and was similar in both government and private hospitals. Patients incurred OOP payments mainly because they were asked to purchase medicines and diagnostics, though the same were included in the benefit package. CONCLUSIONS: While the RSBY has managed to include the poor under its umbrella, it has provided only partial financial coverage. Nearly 60% of insured and admitted patients made OOP payments. We plea for better monitoring of the scheme and speculate that it is possible to enhance effective financial coverage of the RSBY if the nodal agency at state level would strengthen its stewardship and oversight functions.

Out-of-pocket healthcare payments on chronic conditions impoverish urban poor in Bangalore, India.

BACKGROUND: The burden of chronic conditions is on the rise in India, necessitating long-term support from healthcare services. Healthcare, in India, is primarily financed through out-of-pocket payments by households. Considering scarce evidence available from India, our study investigates whether and how out-of-pocket payments for outpatient care affect individuals with chronic conditions. METHODS: A large census covering 9299 households was conducted in Bangalore, India. Of these, 3202 households that reported presence of chronic condition were further analysed. Data was collected using a structured household-level questionnaire. Out-of-pocket payments, catastrophic healthcare expenditure, and the resultant impoverishment were measured using a standard technique. RESULTS: The response rate for the census was 98.5%. Overall, 69.6% (95%CI=68.0-71.2) of households made out-of-pocket payments for outpatient care spending a median of 3.2% (95%CI=3.0-3.4) of their total income. Overall, 16% (95%CI=14.8-17.3) of households suffered financial catastrophe by spending more than 10% of household income on outpatient care. Occurrence and intensity of financial catastrophe were inequitably high among poor. Low household income, use of referral hospitals as place for consultation, and small household size were associated with a greater likelihood of incurring financial catastrophe.The out-of-pocket spending on chronic conditions doubled the number of people living below the poverty line in one month, with further deepening of their poverty. In order to cope, households borrowed money (4.2% instances), and sold or mortgaged their assets (0.4% instances). CONCLUSIONS: This study provides evidence from India that the out-of-pocket payment for chronic conditions, even for outpatient care, pushes people into poverty. Our findings suggest that improving availability of affordable medications and diagnostics for chronic conditions, as well as strengthening the gate keeping function of the primary care services are important measures to enhance financial protection for urban poor. Our findings call for inclusion of outpatient care for chronic conditions in existing government-initiated health insurance schemes.

Can health insurance improve access to quality care for the Indian poor?

PURPOSE: Recently, the Indian government launched health insurance schemes for the poor both to protect them from high health spending and to improve access to high-quality health services. This article aims to review the potentials of health insurance interventions in order to improve access to quality care in India based on experiences of community health insurance schemes. DATA SOURCES: PubMed, Ovid MEDLINE (R), All EBM Reviews, CSA Sociological Abstracts, CSA Social Service Abstracts, EconLit, Science Direct, the ISI Web of Knowledge, Social Science Research Network and databases of research centers were searched up to September 2010. An Internet search was executed. STUDY SELECTION: One thousand hundred and thirty-three papers were assessed for inclusion and exclusion criteria. Twenty-five papers were selected providing information on eight schemes. DATA EXTRACTION: A realist review was performed using Hirschman's exit-voice theory: mechanisms to improve exit strategies (financial assets and infrastructure) and strengthen patient's long voice route (quality management) and short voice route (patient pressure). RESULTS OF DATA SYNTHESIS: All schemes use a mix of measures to improve exit strategies and the long voice route. Most mechanisms are not effective in reality. Schemes that focus on the patients' bargaining position at the patient-provider interface seem to improve access to quality care. CONCLUSION: Top-down health insurance interventions with focus on exit strategies will not work out fully in the Indian context. Government must actively facilitate the potential of CHI schemes to emancipate the target group so that they may transform from mere passive beneficiaries into active participants in their health.

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.

Indian community health insurance schemes provide partial protection against catastrophic health expenditure.

BACKGROUND: More than 72% of health expenditure in India is financed by individual households at the time of illness through out-of-pocket payments. This is a highly regressive way of financing health care and sometimes leads to impoverishment. Health insurance is recommended as a measure to protect households from such catastrophic health expenditure (CHE). We studied two Indian community health insurance (CHI) schemes, ACCORD and SEWA, to determine whether insured households are protected from CHE. METHODS: ACCORD provides health insurance cover for the indigenous population, living in Gudalur, Tamil Nadu. SEWA provides insurance cover for self employed women in the state of Gujarat. Both cover hospitalisation expenses, but only upto a maximum limit of US$23 and US$45, respectively. We reviewed the insurance claims registers in both schemes and identified patients who were hospitalised during the period 01/04/2003 to 31/03/2004. Details of their diagnoses, places and costs of treatment and self-reported annual incomes were obtained. There is no single definition of CHE and none of these have been validated. For this research, we used the following definition; "annual hospital expenditure greater than 10% of annual income," to identify those who experienced CHE. RESULTS: There were a total of 683 and 3152 hospital admissions at ACCORD and SEWA, respectively. In the absence of the CHI scheme, all of the patients at ACCORD and SEWA would have had to pay OOP for their hospitalisation. With the CHI scheme, 67% and 34% of patients did not have to make any out-of-pocket (OOP) payment for their hospital expenses at ACCORD and SEWA, respectively. Both CHI schemes halved the number of households that would have experienced CHE by covering hospital costs. However, despite this, 4% and 23% of households with admissions still experienced CHE at ACCORD and SEWA, respectively. This was related to the following conditions: low annual income, benefit packages with low maximum limits, exclusion of some conditions from the benefit package, and use of the private sector for admissions. CONCLUSION: CHI appears to be effective at halving the incidence of CHE among hospitalised patients. This protection could be further enhanced by improving the design of the CHI schemes, especially by increasing the upper limits of benefit packages, minimising exclusions and controlling costs.

How patients navigate the diagnostic ecosystem in a fragmented health system: a qualitative study from India.

BACKGROUND: Depending on a country's diagnostic infrastructure, patients and providers play different roles in ensuring that correct and timely diagnosis is made. However, little is known about the work done by patients in accessing diagnostic services and completing the 'test and treat' loop. OBJECTIVE: To address this knowledge gap, we traced the diagnostic journeys of patients with tuberculosis, diabetes, hypertension and typhoid, and examined the work they had to do to arrive at a diagnosis. METHODS: This paper draws on a qualitative study, which included 78 semi-structured interviews and 13 focus group discussions with patients, public and private healthcare providers, community health workers, test manufacturers, laboratory technicians, program managers and policymakers. Data were collected between January and June 2013 in rural and urban Karnataka, South India, as part of a larger project on barriers to point-of-care testing. We reconstructed patient diagnostic processes retrospectively and analyzed emerging themes and patterns. RESULTS: The journey to access diagnostic services requires a high level of involvement and immense work from patients and/or their caretakers. This process entails overcoming cost and distance, negotiating social relations, continuously making sense of their illness and diagnosis, producing and transporting samples, dealing with the social consequences of diagnosis, and returning results to the treating provider. The quality and content of interactions with providers were crucial for completion of test and treat loops. If the tasks became overwhelming, patients opted out, delayed being tested, switched providers and/or reverted to self-testing or self-treatment practices. CONCLUSION: Our study demonstrated how difficult it can be for patients to complete diagnostic journeys and how the health system works as far as diagnostics are concerned. If new point-of-care tests are to be implemented successfully, policymakers, program officers and test developers need to find ways to ease patient navigation through diagnostic services.

The landscape of community health insurance in India: an overview based on 10 case studies.

The Indian health system is mainly funded by out-of-pocket payments. More than 80% of health care expenditure is borne by individual households. Only about 3% of the population, mostly those in the formal sector, benefit from some form of health insurance. Several Indian Non-Governmental Organisations (NGOs) have initiated Community Health Insurance (CHI) schemes within their existing development programmes. This article describes the principal features of the design and functioning of a selection of 10 CHI schemes and presents a brief overview of the current landscape of CHI in India. The schemes explicitly target the poorest and most vulnerable households in Indian society-scheduled tribes, scheduled castes and poor women. Three CHI management models can be distinguished. The first model consists of local NGOs acting as both insurer and provider. In the second model, the NGO is the insurer but does not itself provide care, which is then purchased from a private provider. In the third model, the NGO neither does provide health care nor acts as an insurer: the NGO, on behalf of a community, links with an insurer and purchases health care from a provider. The benefit packages generally include both primary and secondary care and most of the providers are in the private sector. Most of the schemes require external resources for financial sustainability. There is currently little information on the impact of CHI schemes on the performance of local health systems and more research is warranted in that respect.

Intervening in the local health system to improve diabetes care: lessons from a health service experiment in a poor urban neighborhood in India.

BACKGROUND: Many efficacious health service interventions to improve diabetes care are known. However, there is little evidence on whether such interventions are effective while delivered in real-world resource-constrained settings. OBJECTIVE: To evaluate an intervention aimed at improving diabetes care using the RE-AIM (reach, efficacy/effectiveness, adoption, implementation, and maintenance) framework. DESIGN: A quasi-experimental study was conducted in a poor urban neighborhood in South India. Four health facilities delivered the intervention (n=163 diabetes patients) and the four matched facilities served as control (n=154). The intervention included provision of culturally appropriate education to diabetes patients, use of generic medications, and standard treatment guidelines for diabetes management. Patients were surveyed before and after the 6-month intervention period. We did field observations and interviews with the doctors at the intervention facilities. Quantitative data were used to assess the reach of the intervention and its effectiveness on patients' knowledge, practice, healthcare expenditure, and glycemic control through a difference-in-differences analysis. Qualitative data were analyzed thematically to understand adoption, implementation, and maintenance of the intervention. RESULTS: Reach: Of those who visited intervention facilities, 52.3% were exposed to the education component and only 7.2% were prescribed generic medications. The doctors rarely used the standard treatment guidelines for diabetes management. EFFECTIVENESS: The intervention did not have a statistically and clinically significant impact on the knowledge, healthcare expenditure, or glycemic control of the patients, with marginal reduction in their practice score. Adoption: All the facilities adopted the education component, while all but one facility adopted the prescription of generic medications. IMPLEMENTATION: There was poor implementation of the intervention, particularly with regard to the use of generic medications and the standard treatment guidelines. Doctors' concerns about the efficacy, quality, availability, and acceptability by patients of generic medications explained limited prescriptions of generic medications. The patients' perception that ailments should be treated through medications limited the use of non-medical management by the doctors in early stages of diabetes. The other reason for the limited use of the standard treatment guidelines was that these doctors mainly provided follow-up care to patients who were previously put on a given treatment plan by specialists. Maintenance: The intervention facilities continued using posters and television monitors for health education after the intervention period. The use of generic medications and standard treatment guidelines for diabetes management remained very limited. CONCLUSIONS: Implementing efficacious health service intervention in a real-world resource-constrained setting is challenging and may not prove effective in improving patient outcomes. Interventions need to consider patients' and healthcare providers' experiences and perceptions and how macro-level policies translate into practice within local health systems.