Effect Of A Large-Scale Social Franchising And Telemedicine Program On Childhood Diarrhea And Pneumonia Outcomes In India

Private sector quality of care for maternal, new-born, and child health in low-and-middle-income countries: a secondary review

The private sector has emerged as a crucial source of maternal, newborn, and child health (MNCH) care in many low- and middle-income countries (LMICs). Quality within the MNCH private sector varies and has not been established systematically. This study systematically reviews findings on private-sector delivery of quality MNCH care in LMICs through the six domains of quality care (QoC) (i.e., efficiency, equity, effectiveness, people-centered care, safety, and timeliness). We registered the systematic review with PROSPERO international prospective register of systematic reviews (registration number CRD42019143383) and followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) Statement for clear and transparent reporting of systematic reviews and meta-analyses. Searches were conducted in eight electronic databases and two websites. For inclusion, studies in LMICs must have examined at least one of the following outcomes using qualitative, quantitative, and/or mixed-methods: maternal morbidity, maternal mortality, newborn morbidity, newborn mortality, child morbidity, child mortality, service utilization, quality of care, and/or experience of care including respectful care. Outcome data was extracted for descriptive statistics and thematic analysis. Of the 139 included studies, 110 studies reported data on QoC. Most studies reporting on QoC occurred in India (19.3%), Uganda (12.3%), and Bangladesh (8.8%). Effectiveness was the most widely measured quality domain with 55 data points, followed by people-centered care (n = 52), safety (n = 47), timeliness (n = 31), equity (n = 24), and efficiency (n = 4). The review showed inconsistencies in care quality across private and public facilities, with quality varying across the six domains. Factors such as training, guidelines, and technical competence influenced the quality. There were also variations in how domains like "people-centered care" have been understood and measured over time. The review underscores the need for clearer definitions of "quality" and practical QoC measures, central to the success of Sustainable Development Goals (SDGs) and equitable health outcomes. This research addresses how quality MNCH care has been defined and operationalized to understand how quality is delivered across the private health sector and the larger health system. Numerous variables and metrics under each QoC domain highlight the difficulty in systematizing QoC. These findings have practical significance to both researchers and policymakers.

Systematic Review Registration

https://bmjopen.bmj.com/content/10/2/e033141.long, Identifier [CRD42019143383].

What drives poor quality of care for child diarrhea? Experimental evidence from India

Most health care providers in developing countries know that oral rehydration salts (ORS) are a lifesaving and inexpensive treatment for child diarrhea, yet few prescribe it. This know-do gap has puzzled experts for decades. Using randomized experiments in India, we estimated the extent to which ORS underprescription is driven by perceptions that patients do not want ORS, provider's financial incentives, and ORS stock-outs (out-of-stock events). Patients expressing a preference for ORS increased ORS prescribing by 27 percentage points. Eliminating stock-outs increased ORS provision by 7 percentage points. Removing financial incentives did not affect ORS prescribing on average but did increase ORS prescribing at pharmacies. We estimate that perceptions that patients do not want ORS explain 42% of underprescribing, whereas stock-outs and financial incentives explain only 6 and 5%, respectively.

Does the market reward quality? Evidence from India

There are two salient facts about health care in low and middle-income countries; (1) the private sector plays an important role and (2) the care provided is often of poor quality. Despite these facts we know little about what drives quality of care in the private sector and why patients seek care from poor quality providers. We use two field studies in India that provide insight into this issue. First, we use a discrete choice experiment to show that patients strongly value technical quality. Second, we use standardized patients to show that better quality providers are not able to charge higher prices. Instead providers are able to charge higher prices for elements of quality that the patient can observe, which are less important for health outcomes. Future research should explore whether accessible information on technical quality of local providers can shift demand to higher quality providers and improve health outcomes.

Lessons for the Design of Comprehensive Primary Healthcare in India: A Qualitative Study

Health systems with strong comprehensive primary health care (CPHC) are known to result in better health outcomes for people. In India, there is a recent push to strengthen CPHC through Ayushman Bharat. This study aimed to document lessons from successful CPHC initiatives in rural and urban India using a qualitative case study approach. A total of 72 CPHC initiatives were identified through desk review and 12 of these were studied as cases. The following two main models of CPHC delivery were seen in India: (a) a hospital or health centre with outreach and (b) social franchising model, prevalent in rural and urban contexts, respectively. Themes identified were related to organisation of services, workforce, financing and challenges in practice. Services being comprehensive, dialoguing with the community, addressing social determinants were themes under organisation of services. There is need for more generalists and training health professionals towards CPHC. Financing of CPHC especially in the rural context remains a major challenge and cannot be sustained with user fees. Leadership, values, team-based care and organisational culture play a vital role in the delivery of good quality CPHC. These findings contribute to the literature on what works and why, which could be used to design CPHC in India.

Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model

This article presents non-invasive sensing-based diagnoses of pneumonia disease, exploiting a deep learning model to make the technique non-invasive coupled with security preservation. Sensing and securing healthcare and medical images such as X-rays that can be used to diagnose viral diseases such as pneumonia is a challenging task for researchers. In the past few years, patients’ medical records have been shared using various wireless technologies. The wireless transmitted data are prone to attacks, resulting in the misuse of patients’ medical records. Therefore, it is important to secure medical data, which are in the form of images. The proposed work is divided into two sections: in the first section, primary data in the form of images are encrypted using the proposed technique based on chaos and convolution neural network. Furthermore, multiple chaotic maps are incorporated to create a random number generator, and the generated random sequence is used for pixel permutation and substitution. In the second part of the proposed work, a new technique for pneumonia diagnosis using deep learning, in which X-ray images are used as a dataset, is proposed. Several physiological features such as cough, fever, chest pain, flu, low energy, sweating, shaking, chills, shortness of breath, fatigue, loss of appetite, and headache and statistical features such as entropy, correlation, contrast dissimilarity, etc., are extracted from the X-ray images for the pneumonia diagnosis. Moreover, machine learning algorithms such as support vector machines, decision trees, random forests, and naive Bayes are also implemented for the proposed model and compared with the proposed CNN-based model. Furthermore, to improve the CNN-based proposed model, transfer learning and fine tuning are also incorporated. It is found that CNN performs better than other machine learning algorithms as the accuracy of the proposed work when using naive Bayes and CNN is 89% and 97%, respectively, which is also greater than the average accuracy of the existing schemes, which is 90%. Further, K-fold analysis and voting techniques are also incorporated to improve the accuracy of the proposed model. Different metrics such as entropy, correlation, contrast, and energy are used to gauge the performance of the proposed encryption technology, while precision, recall, F1 score, and support are used to evaluate the effectiveness of the proposed machine learning-based model for pneumonia diagnosis. The entropy and correlation of the proposed work are 7.999 and 0.0001, respectively, which reflects that the proposed encryption algorithm offers a higher security of the digital data. Moreover, a detailed comparison with the existing work is also made and reveals that both the proposed models work better than the existing work.

Evaluation of a village-based digital health kiosks program: A protocol for a cluster randomized clinical trial

Background

To address disparities in healthcare quality and access between rural and urban areas in China, reforms emphasize strengthening primary care and digital health utilization. Yet, evidence on digital health approaches in rural areas is lacking.

Objective

This study will evaluate the effectiveness of Guangdong Second Provincial General Hospital's Digital Health Kiosk program, which uses the Dingbei telemedicine platform to connect rural clinicians to physicians in upper-level health facilities and provide access to artificial intelligence-enabled diagnostic support. We hypothesize that our interventions will increase healthcare utilization and patient satisfaction, decrease out-of-pocket costs, and improve health outcomes.

Methods

This cluster randomized control trial will enroll clinics according to a partial factorial design. Clinics will be randomized to either a control arm with clinician medical training, a second arm additionally receiving Dingbei telemedicine training, or a third arm with monetary incentives for patient visits conducted through Dingbei plus all prior interventions. Clinics in the second and third arm will then be orthogonally randomized to a social marketing arm that targets villager awareness of the kiosk program. We will use surveys and Dingbei administrative data to evaluate clinic utilization, revenue, and clinician competency, as well as patient satisfaction and expenses.

Results

We have received ethical approval from Guangdong Second Provincial General Hospital (IRB approval number: GD2H-KY IRB-AF-SC.07-01.1), Peking University (IRB00001052-21007), and the University of North Carolina at Chapel Hill (323385). Study enrollment began April 2022.

Conclusions

This study has the potential to inform future telemedicine approaches and assess telemedicine as a method to address disparities in healthcare access.

Trial registration number: ChiCTR2100053872

Midwives providing maternal health services to poor women in the private sector: is it a financially feasible model?

Governments in many low- and middle-income countries have increasingly turned to the private sector to address the gap in skilled birth attendance in rural areas. They draw on limited, but emerging evidence that the poor also seek private healthcare services. A question not addressed in this policy and strategy is: Can poor women pay the fees required for private-sector maternity care providers to financially sustain their practices? This article examined the financial viability of private-sector midwifery practices established to provide skilled birth services to Afghan refugee women in Baluchistan, Pakistan. An international non-governmental organization established 45 midwifery practices as part of a poverty alleviation project aimed at providing market-based solutions for female poverty. A retrospective micro-cost analysis was conducted on a sample of 11 practices. In-depth interviews were conducted with 33 stakeholders to explore the midwives' experiences of operating private practices, and the facilitators and barriers they experienced. The single midwife-practices saw a mean of 8.7 ANC patients (range 1-19), attended 2.9 births (range 0-10) and provided care to 1.6 postnatal patients (range 0-7). The average net income of the 11 practices in May 2014 was US$81, but the median was just US$12. To contextualize these incomes, the midwives earned, on average, 25% of Pakistan's minimum monthly living wage. The financial analysis showed only 3 out of 11 sampled practices could be considered financially viable. The qualitative data revealed that even in practices with reasonable client volumes, the patients' inability to pay was the critical factor in the midwife practices' low net incomes. The research provides empirical evidence of a potential pitfall of private funding models in resource-poor settings where providers rely on impoverished clients to pay user-fees. Such financial models essentially shift the government's responsibility to provide safe childbirth services onto providers who can least afford to offer such care.

Pandemic response in pluralistic health systems: a cross-sectional study of COVID-19 knowledge and practices among informal and formal primary care providers in Bihar, India

OBJECTIVES

Responding to pandemics is challenging in pluralistic health systems. This study assesses COVID-19 knowledge and case management of informal providers (IPs), trained practitioners of Ayurveda, Yoga and Naturopathy, Unani, Siddha and Homeopathy (AYUSH) and Bachelor of Medicine, Bachelor of Surgery (MBBS) medical doctors providing primary care services in rural Bihar, India.

DESIGN

This was a cross-sectional study of primary care providers conducted via telephone between 1 and 15 July 2020.

SETTING

Primary care providers from 224 villages in 34 districts across Bihar, India.

PARTICIPANTS

452 IPs, 57 AYUSH practitioners and 38 doctors (including 23 government doctors) were interviewed from a census of 1138 primary care providers used by community members that could be reached by telephone.

PRIMARY OUTCOME MEASURES

Providers were interviewed using a structured questionnaire with choice-based answers to gather information on (1) change in patient care seeking, (2) source of COVID-19 information, (3) knowledge on COVID-19 spread, symptoms and methods for prevention and (4) clinical management of COVID-19.

RESULTS

During the early days of the COVID-19 pandemic, 72% of providers reported a decrease in patient visits. Most IPs and other private primary care providers reported receiving no COVID-19 related engagement with government or civil society agencies. For them, the principal source of COVID-19 information was television and newspapers. IPs had reasonably good knowledge of typical COVID-19 symptoms and prevention, and at levels similar to doctors. However, there was low stated compliance among IPs (16%) and qualified primary care providers (15% of MBBS doctors and 12% of AYUSH practitioners) with all WHO recommended management practices for suspect COVID-19 cases. Nearly half of IPs and other providers intended to treat COVID-19 suspects without referral.

CONCLUSIONS

Poor management practices of COVID-19 suspects by rural primary care providers weakens government pandemic control efforts. Government action of providing information to IPs, as well as engaging them in contact tracing or public health messaging can strengthen pandemic control efforts.

"Even though I am alone, I feel that we are many" - An appreciative inquiry study of asynchronous, provider-to-provider teleconsultations in Turkana, Kenya

Non-physician clinicians (NPCs) in low and middle-income countries (LMICs) often have little physical proximity to the resources-equipment, supplies or skills-needed to deliver effective care, forcing them to refer patients to distant sites. Unlike equipment or supplies, which require dedicated supply chains, physician/specialist skills needed to support NPCs can be sourced and delivered through telecommunication technologies. In LMICs however, these skills are scarce and sparsely distributed, making it difficult to implement commonly used real-time (synchronous), hub-and-spoke telemedicine paradigms. An asynchronous teleconsultations service was implemented in Turkana County, Kenya, connecting NPCs with a volunteer network of remote physicians and specialists. In 2017-18, the service supported over 100 teleconsultations and referrals across 20 primary healthcare clinics and two hospitals. This qualitative study aimed to explore the impact of the telemedicine intervention on health system stakeholders, and perceived health-related benefits to patients. Data were collected using Appreciative Inquiry, a strengths-based, positive approach to assessing interventions and informing systems change. We highlight the impact of provider-to-provider asynchronous teleconsultations on multiple stakeholders and healthcare processes. Provider benefits include improved communication and team work, increased confidence and capacity to deliver services in remote sites, and professional satisfaction for both NPCs and remote physicians. Health system benefits include efficiency improvements through improved care coordination and avoiding unnecessary referrals, and increased equity and access to physician/specialist care by reducing geographical, financial and social barriers. Providers and health system managers recognised several non-health benefits to patients including increased trust and care seeking from NPCs, and social benefits of avoiding unnecessary referrals (reduced social disruption, displacement and costs). The findings reveal the wider impact that modern teleconsultation services enabled by mobile technologies and algorithms can have on LMIC communities and health systems. The study highlights the importance of viewing provider-to-provider teleconsultations as complex health service delivery interventions with multiple pathways and processes that can ultimately improve health outcomes.

Process evaluation of a social franchising model to improve maternal health: evidence from a multi-methods study in Uttar Pradesh, India

BACKGROUND

A prominent strategy to engage private sector health providers in low- and middle-income countries is clinical social franchising, an organisational model that applies the principles of commercial franchising for socially beneficial goals. The Matrika programme, a multi-faceted social franchise model to improve maternal health, was implemented in three districts of Uttar Pradesh, India, between 2013 and 2016. Previous research indicates that the intervention was not effective in improving the quality and coverage of maternal health services at the population level. This paper reports findings from an independent external process evaluation, conducted alongside the impact evaluation, with the aim of explaining the impact findings. It focuses on the main component of the programme, the "Sky" social franchise.

METHODS

We first developed a theory of change, mapping the key mechanisms through which the programme was hypothesised to have impact. We then undertook a multi-methods study, drawing on both quantitative and qualitative primary data from a wide range of sources to assess the extent of implementation and to understand mechanisms of impact and the role of contextual factors. We analysed the quantitative data descriptively to generate indicators of implementation. We undertook a thematic analysis of the qualitative data before holding reflective meetings to triangulate across data sources, synthesise evidence, and identify the main findings. Finally, we used the framework provided by the theory of change to organise and interpret our findings.

RESULTS

We report six key findings. First, despite the franchisor achieving its recruitment targets, the competitive nature of the market for antenatal care meant social franchise providers achieved very low market share. Second, all Sky health providers were branded but community awareness of the franchise remained low. Third, using lower-level providers and community health volunteers to encourage women to attend franchised antenatal care services was ineffective. Fourth, referral linkages were not sufficiently strong between antenatal care providers in the franchise network and delivery care providers. Fifth, Sky health providers had better knowledge and self-reported practice than comparable health providers, but overall, the evidence pointed to poor quality of care across the board. Finally, telemedicine was perceived by clients as an attractive feature, but problems in the implementation of the technology meant its effect on quality of antenatal care was likely limited.

CONCLUSIONS

These findings point towards the importance of designing programmes based on a strong theory of change, understanding market conditions and what patients value, and rigorously testing new technologies. The design of future social franchising programmes should take account of the challenges documented in this and other evaluations.

Quality Of Health Care In India: Challenges, Priorities, And The Road Ahead

India's health care sector provides a wide range of quality of care, from globally acclaimed hospitals to facilities that deliver care of unacceptably low quality. Efforts to improve the quality of care are particularly challenged by the lack of reliable data on quality and by technical difficulties in measuring quality. Ongoing efforts in the public and private sectors aim to improve the quality of data, develop better measures and understanding of the quality of care, and develop innovative solutions to long-standing challenges. We summarize priorities and the challenges faced by efforts to improve the quality of care. We also highlight lessons learned from recent efforts to measure and improve that quality, based on the articles on quality of care in India that are published in this issue of Health Affairs The rapidly changing profile of diseases in India and rising chronic disease burden make it urgent for state and central governments to collaborate with researchers and agencies that implement programs to improve health care to further the quality agenda.

A means of improving public health in low- and middle-income countries? Benefits and challenges of international public-private partnerships

OBJECTIVE

In the last two decades international public-private partnerships have become increasingly important to improving public health in low- and middle-income countries. Governments realize that involving the private sector in projects for financing, innovation, development, and distribution can make a valuable contribution to overcoming major health challenges. Private-public partnerships for health can generate numerous benefits but may also raise some concerns. To guide best practice for public-private partnerships for health to maximize benefits and minimize risks, the first step is to identify potential benefits, challenges, and motives. We define motives as the reasons why private partners enter partnerships with a public partner.

STUDY DESIGN

We conducted a systematic review of the literature using the PRISMA guidelines.

METHOD

We reviewed the literature on the benefits and challenges of public-private partnerships for health in low- and middle-income countries provided by international pharmaceutical companies and other health-related companies. We provide a description of these benefits, challenges, as well as of motives of private partners to join partnerships. An approach of systematic categorization was used to conduct this research.

RESULT

We identified six potential benefits, seven challenges, and three motives. Our main finding was a significant gap in the available academic literature on this subject. Further empirical research using both qualitative and quantitative approaches is required. From the limited information that is readily available, we conclude that public-private partnerships for health imply several benefits but with some noticeable and crucial limitations.

CONCLUSION

In this article, we provide a description of these benefits and challenges, discuss key themes, and conclude that empirical research is required to determine the full extent of the challenges addressed in the literature.

Evaluation of a social franchising and telemedicine programme and the care provided for childhood diarrhoea and pneumonia, Bihar, India

Objective

To evaluate the impact on the quality of the care provided for childhood diarrhoea and pneumonia in Bihar, India, of a large-scale, social franchising and telemedicine programme – the World Health Partners’ Sky Program.

Methods

We investigated changes associated with the programme in the knowledge and performance of health-care providers by carrying out 810 assessments in a representative sample of providers in areas where the programme was and was not implemented. Providers were assessed using hypothetical patient vignettes and the standardized patient method both before and after programme implementation, in 2011 and 2014, respectively. Differences in providers’ performance between implementation and nonimplementation areas were assessed using multivariate difference-in-difference linear regression models.

Findings

The programme did not significantly improve health-care providers’ knowledge or performance with regard to childhood diarrhoea or pneumonia in Bihar. There was a persistent large gap between knowledge of appropriate care and the care actually delivered.

Conclusion

Social franchising has received attention globally as a model for delivering high-quality care in rural areas in the developing world but supporting data are scarce. Our findings emphasize the need for sound empirical evidence before social franchising programmes are scaled up.

Providers' knowledge of diagnosis and treatment of tuberculosis using vignettes: evidence from rural Bihar, India

Background

Almost 25% of all new cases of tuberculosis (TB) worldwide are in India, where drug resistance and low quality of care remain key challenges.

Methods

We conducted an observational, cross-sectional study of healthcare providers' knowledge of diagnosis and treatment of TB in rural Bihar, India, from June to September 2012. Using data from vignette-based interviews with 395 most commonly visited healthcare providers in study areas, we scored providers' knowledge and used multivariable regression models to examine their relationship to providers' characteristics.

Findings

80% of 395 providers had no formal medical qualifications. Overall, providers demonstrated low levels of knowledge: 64.9% (95% CI 59.8% to 69.8%) diagnosed correctly, and 21.7% (CI 16.8% to 27.1%) recommended correct treatment. Providers seldom asked diagnostic questions such as fever (31.4%, CI 26.8% to 36.2%) and bloody sputum (11.1%, CI 8.2% to 14.7%), or results from sputum microscopy (20.0%, CI: 16.2% to 24.3%). After controlling for whether providers treat TB, MBBS providers were not significantly different, from unqualified providers or those with alternative medical qualifications, on knowledge score or offering correct treatment. MBBS providers were, however, more likely to recommend referrals relative to complementary medicine and unqualified providers (23.2 and 37.7 percentage points, respectively).

Interpretation

Healthcare providers in rural areas in Bihar, India, have low levels of knowledge regarding TB diagnosis and treatment. Our findings highlight the need for policies to improve training, incentives, task shifting and regulation to improve knowledge and performance of existing providers. Further, more research is needed on the incentives providers face and the role of information on quality to help patients select providers who offer higher quality care.