Using mHealth to improve health care delivery in India: A qualitative examination of the perspectives of community health workers and beneficiaries

Facilitators and Barriers for Telemedicine Systems in India from Multiple Stakeholder Perspectives and Settings: A Systematic Review

Background: Telemedicine is viewed as a crucial tool for addressing the challenges of limited medical resources at health care facilities. However, its adoption in health care is not entirely realized due to perceived barriers. This systematic review outlines the critical facilitators and barriers that influence the implementation of telemedicine in the Indian health care system, observed at the infrastructural, sociocultural, regulatory, and financial levels, from the perspectives of health care providers, patients, patient caregivers, society, health organizations, and the government. Methods: This review complies with the current Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols 2015. A total of 2,706 peer-reviewed studies published from December 2016 to September 2023 in the PubMed, Cochrane, Scopus, Web of Science, CINAHL, MEDLINE, and PsycInfo databases were considered for the title and abstract screening, after which 334 articles were chosen for the full-text review. In the end, 46 studies were selected for data synthesis. Results: Analysis of the literature revealed key barriers such as data privacy and security concerns, doctor and patient resistance to information and communications technology (ICT), infrastructure issues, and ICT training gaps. Facilitators included reduced health care delivery costs, enhanced patient access to health care in remote areas, and shorter patient wait times. The real-world experiences of Indian telemedicine practitioners and pioneers are also explored to complement literature-based perspectives on telemedicine implementation. Both stress the need for reliable internet connectivity, technological adoption, comprehensive ICT training, positive sociocultural attitudes, stringent data privacy measures, and viable business models as crucial for effective telemedicine adoption, with experts emphasizing practical adaptability alongside the literature-recognized facilitators.

Construction of the Digital Health Equity-Focused Implementation Research Conceptual Model - Bridging the Divide Between Equity-focused Digital Health and Implementation Research

Digital health implementations and investments continue to expand. As the reliance on digital health increases, it is imperative to implement technologies with inclusive and accessible approaches. A conceptual model can be used to guide equity-focused digital health implementations to improve suitability and uptake in diverse populations. The objective of this study is expand an implementation model with recommendations on the equitable implementation of new digital health technologies. The Digital Health Equity-Focused Implementation Research (DH-EquIR) conceptual model was developed based on a rigorous review of digital health implementation and health equity literature. The Equity-Focused Implementation Research for Health Programs (EquIR) model was used as a starting point and merged with digital equity and digital health implementation models. Existing theoretical frameworks and models were appraised as well as individual equity-sensitive implementation studies. Patient and program-related concepts related to digital equity, digital health implementation, and assessment of social/digital determinants of health were included. Sixty-two articles were analyzed to inform the adaption of the EquIR model for digital health. These articles included digital health equity models and frameworks, digital health implementation models and frameworks, research articles, guidelines, and concept analyses. Concepts were organized into EquIR conceptual groupings, including population health status, planning the program, designing the program, implementing the program, and equity-focused implementation outcomes. The adapted DH-EquIR conceptual model diagram was created as well as detailed tables displaying related equity concepts, evidence gaps in source articles, and analysis of existing equity-related models and tools. The DH-EquIR model serves to guide digital health developers and implementation specialists to promote the inclusion of health-equity planning in every phase of implementation. In addition, it can assist researchers and product developers to avoid repeating the mistakes that have led to inequities in the implementation of digital health across populations.

Experiences of community health workers on adopting mHealth in rural Malawi: A qualitative study

Background

The use of mobile health technology (mHealth) by community health workers (CHWs) can strengthen community-based service delivery and improve access to and quality of healthcare.

Objective

This qualitative study sought to explore experiences and identify factors influencing the use of an integrated smartphone-based mHealth called YendaNafe by CHWs in rural Malawi.

Methods

Using pre-tested interview guides, between August and October 2022, we conducted eight focus group discussions with CHWs (n = 69), four in-depth interviews with CHW supervisors, and eight key informant interviews in Neno District, Malawi. We audio-recorded and transcribed the interviews verbatim and organized them for analysis in Dedoose V9.0.62. We used an inductive analysis technique to analyze the data. We further applied the six domains of the socio-technical system (STS) framework to map factors influencing the use of YendaNafe.

Results

User experiences and facilitators and barriers were the two main themes that emerged. mHealth was reported to improve the task efficiency, competence, trust, and perceived professionalism of CHWs. CHWs less frequently referred to cultural factors influencing app uptake. However, for other social systems, they identified relationships and trust with stakeholders, availability of training and programmatic support, and performance monitoring and feedback as influencing the use of YendaNafe. From the STS technical domain, the availability and adequacy of hardware such as phones, mobile connectivity, and usability influenced the use of YendaNafe.

Conclusions

Despite the initial discomfort, CHWs found mHealth helpful in supporting their service delivery tasks. Identifying and addressing social and technical factors during mHealth implementation may help improve end users' attitudes and uptake.

Does mHealth influence community health worker performance in vulnerable populations? A mixed methods study in a multinational refugee settlement in Uganda

Community Health Workers (CHWs) provide healthcare in under-served communities, including refugee settlements, despite various challenges hindering their performance. Implementers have adopted mobile wireless technologies (m-Health) to improve the performance of CHWs in refugee settlements. We assessed the CHWs' performance and associated factors in a multi-national refugee settlement, operating mHealth and paper-based methods. This cross-sectional study employed quantitative and qualitative data collection methods. Data for 300 CHWs was collected from implementing partners' (IPs) databases. Nine focus group discussions (FGDs) with the CHWs and community members, two in-depth interviews (IDIs) with CHW leaders, and eight key informant interviews (KIIs) with six IPs and two local leaders were conducted. The qualitative data were analysed thematically using AtlasTi version 9 while the quantitative data were analysed at the univariate, bivariate and multivariable levels using Stata version14. The study found that only 17% of the CHWs performed optimally. The factors that significantly influenced CHW performance included education level: secondary and above (APR: 1.83, 95% CI: 1.02-3.30), having a side occupation (APR: 2.02, 95% CI: 1.16-3.52) and mHealth use (APR: 0.06, 95% CI: 0.02-.0.30). The qualitative data suggested that performance was influenced by the number of households assigned to CHWs, monetary incentives, adequacy of materials and facilitation. Particularly, mHealth was preferred to paper-based methods. Overall, the CHWs' performance was sub-optimal; only 2 in 10 performed satisfactorily. The main factors that influenced performance included the level of education, use of mHealth, having another occupation, workload and incentivisation. CHWs and IPs preferred mHealth to paper-based methods. IPs should work to improve refugee settlement working conditions for the CHWs and adopt mHealth to improve CHW performance.

Stress Alleviation Methods for community-Based Health ActiVists (SAMBHAV): Development of a digital program for stress reduction for community health workers in rural India

Background

Community health workers (CHWs) face high levels of stress (both professional and personal) and risk of burnout, highlighting the need for efforts to promote their mental health and well-being. This study seeks to develop a digital stress reduction program for CHWs in rural India.

Methods

A stepwise design process was employed to adapt and digitize the evidence-based World Health Organization's Self-Help Plus (SH+) intervention for addressing psychological distress among CHWs in Madhya Pradesh, India. This involved participatory design workshops with CHWs to ensure that the digital stress reduction intervention would be relevant for their needs and the local culture and context. Small groups of CHWs reviewed the adapted program content, allowing the research team to make refinements such as simplifying language, tailoring content to the local setting, and ensuring that program materials are both interesting and relevant. Simultaneously, the research team digitized the content, leveraging a combination of video and graphical content, and uploaded it to the Sangath Learning Management System, a digital platform accessible on a smartphone app.

Results

In total, 18 CHWs contributed to the adaptation of the SH+ content and digital intervention development. Participants commented on finding some terms difficult to follow and recommended simplifying the language and providing detailed explanations. Participants offered positive feedback on the adapted content, expressing that they found the examples covered in the material both relatable and relevant to their own personal experiences at home and in the workplace. By combining participants' insights and comments with feedback from content experts, it was possible to finalize a digital Hindi version of the SH+ intervention for CHWs in rural India.

Conclusions

This study is timely given the continued detrimental impacts of the COVID-19 pandemic, and offers a promising and potentially scalable digital program to alleviate psychological distress among frontline health workers.

Effectiveness of mobile technology and utilization of maternal and neonatal healthcare in low and middle-income countries (LMICs): a systematic review

BACKGROUND

Maternal and neonatal mortality are important indicators of the development of a nation and pose a severe health concern, especially in developing and Low and Middle-Income Countries (LMICs). Healthcare providers use various mobile technologies as tools to provide antenatal, delivery, and postnatal care and thereby promote maternal and child health. We conducted a systematic review to critically assess the existing literature on the effectiveness of mobile phone technology in maternal and neonatal healthcare (MNH) utilization, especially in LMICs in Asia and Africa.

METHODS

A systematic search strategy was developed, and Boolean combinations of relevant keywords were utilized to search relevant literature on three electronic databases (PubMed/Medline, Scopus, and Google Scholar) from 2012 to 2022. After assessing the inclusion and exclusion criteria, 25 articles were selected for systematic review. A narrative synthesis strategy was applied to summarise the information from the included literature.

RESULTS

This review reveals that research and evaluation studies on mobile phone or Mobile Health (mHealth) and MNH service utilization substantially varied by research designs and methodology. Most studies found that mobile phone technology is highly appreciable in improving several MNH indicators, especially in LMICs. Despite the identified benefits of mobile technology in MNH utilization, some studies also mentioned challenges related to technology use and misuse, rich-poor discrimination, and disparity in phone ownership need to be addressed.

CONCLUSION

There is constantly increasing evidence of mobile counseling and the use of digital technology in the MNH care system. Public health practitioners and policymakers need to make efforts to smooth the functioning of technology-based healthcare services, considering all the issues related to the confidentiality and safety of health-related data on the Internet.

Community Health Worker Use of Smart Devices for Health Promotion: Scoping Review

BACKGROUND

Community health workers (CHWs) have become essential to the promotion of healthy behaviors, yet their work is complicated by challenges both within and beyond their control. These challenges include resistance to the change of existing behaviors, disbelief of health messages, limited community health literacy, insufficient CHW communication skills and knowledge, lack of community interest and respect for CHWs, and CHWs' lack of adequate supplies. The rising penetration of "smart" technology (eg, smartphones and tablets) in low- and middle-income countries facilitates the use of portable electronic devices in the field.

OBJECTIVE

This scoping review examines to what extent mobile health in the form of smart devices may enhance the delivery of public health messages in CHW-client interactions, thereby addressing the aforementioned challenges and inducing client behavior change.

METHODS

We conducted a structured search of the PubMed and LILACS databases using subject heading terms in 4 categories: technology user, technology device, use of technology, and outcome. Eligibility criteria included publication since January 2007, CHWs delivering a health message aided by a smart device, and face-to-face communication between CHWs and clients. Eligible studies were analyzed qualitatively using a modified version of the Partners in Health conceptual framework.

RESULTS

We identified 12 eligible studies, 10 (83%) of which used qualitative or mixed methods approaches. We found that smart devices mitigate challenges encountered by CHWs by improving their knowledge, motivation, and creativity (eg, through self-made videos); their status within the community; and the credibility of their health messages. The technology stimulated interest in both CHWs and clients-and sometimes even in bystanders and neighbors. Media content produced locally or reflecting local customs was strongly embraced. Yet, the effect of smart devices on the quality of CHW-client interactions was inconclusive. Interactions suffered as CHWs were tempted to replace educational conversations with clients by passively watching video content. Furthermore, a series of technical difficulties experienced especially by older and less educated CHWs compromised some of the advantages brought about by mobile devices. Adequate CHW training ameliorated these difficulties. Only 1 study (8%) considered client health behavior change as an end point, thus revealing a major research gap.

CONCLUSIONS

Smart mobile devices may augment CHWs' field performance and enhance face-to-face interactions with clients, yet they also generate new challenges. The available evidence is scarce, mostly qualitative, and focused on a limited range of health outcomes. Future research should include larger-scale interventions across a wide range of health outcomes and feature client health behavior change as an end point.

Teleophthalmology

As a result of COVID-19, a new approach for delivering eye care services to rural underprivileged areas were needed to improve eye disease outcomes. Sitapur Eye Hospital used a door-to-door model of medical delivery to alleviate the inability of rural residents from not receiving appropriate eye care during the COVID-19 pandemic. Sitapur Eye Hospital utilizes a healthcare delivery model that involves visiting patients door-to-door. The total number of patients that Sitapur Eye Hospital examined went from screening no patients in the months of April and May to screening 31,017 patients via the door-to-door service that was implemented in June 2020. Sitapur Eye Hospital managed to keep the prevalence of people who had severe eye impairment at pre-pandemic levels by offering a door-to-door service to patients who were unable to access appropriate medical care. The door-to-door healthcare model shows that leveraging telehealth and ride-hailing services alleviate certain barriers that make it difficult for people in rural areas to access eye care.

DECENT: A sociotechnical approach for developing mobile health apps in underserved settings

Objective

Despite the fact that user engagement is critical to the efficacy of mobile health (mHealth) interventions in the Global South, many of these interventions lack user engagement features. This is because sociotechnical aspects of such initiatives are frequently ignored during the design, development, and implementation stages. This research highlighted the importance of considering sociotechnical factors when developing mHealth apps. The intended users for the mHealth technologies in this study are care professionals.

Materials and Methods

Five semi-structured interviews and a pilot interview were conducted to identify user engagement facilitators and barriers. The interview data were analysed using NVivo. The Capability, Opportunity, Motivation - Behaviour (COM-B) model is then used to map the facilitators and barriers to mHealth app engagement, allowing researchers to better understand how users engage/disengage with mHealth apps.

Results and Discussion

Capability facilitators included features that assist users in learning more about the app (e.g. a user manual and statistical data) as well as features that assist users in developing a routine. The lack of app skills and cognitive overload limit capability. While social connectedness and offline functionality were identified as facilitators of user engagement, non-user-friendly design and cultural dimensions were identified as barriers. Early user engagement and rewards were identified as motivational facilitators that influence user engagement. Furthermore, perceived non-utility and a lack of encouragement were identified as motivational barriers to engagement.

Conclusion

Several factors were discovered across all COM-B model components that could be used to develop more engaging mHealth apps. Adopting a techno-centric approach that ignores sociotechnical factors can reduce user engagement. The design process engagement enhancement system (DECENT) framework was proposed based on the findings.

Sub-optimal knowledge with positive attitude and belief of frontline health workers toward the use of information technologies: A mixed-method study from rural Haryana, India

BACKGROUND

Information technology (IT) can be used by frontline health workers (FLWs) to connect and deliver care to the community. Various studies in India have assessed the beneficial impact of IT usage by FLWs, but for the long-term sustainability, the attitude and belief toward IT usage have not been adequately studied. We conducted this study to assess the knowledge and attitude and to explore the beliefs of FLWs toward the use of IT in a rural area of Haryana.

MATERIALS AND METHODS

We conducted a mixed-method study (qualitative and quantitative approach) in a rural setting of Haryana, India. We included FLWs of two primary health centers (PHCs). Data were collected from October 19, 2020 to December 31, 2020. We collected data from 75 accredited social health activists (ASHAs), 37 Anganwadi workers (AWWs), 28 multi-purpose workers (MPWs), two information assistants, and two medical officers using a semi-structured interview schedule. Their knowledge about the benefits of IT use, past use of IT applications and devices, and self-rating of knowledge regarding computers or laptops were collected. We used 14 attitude statements, each with a five-point Likert scale to assess the attitude; a total score ≥35 was considered a positive attitude. We conducted eight focus group discussions (FGDs) to explore the beliefs regarding IT usage (four FGDs with ASHAs, two FGDs with AWWs, and two FGDs with MPWs). A descriptive analysis was performed for the quantitative data, and a thematic analysis was performed for qualitative data.

RESULTS

Knowledge about the benefits of IT use was present among 77.8% of FLWs. Among the FLWs, 79.2% self-rated their knowledge of computers/laptops as 'do not have knowledge', 16% self-rated as 'low knowledge', and 4.8% self-rated as 'good knowledge'. The median total score for attitude statements among all the FLWs (n = 144) was 54 [inter-quartile range - 48-59]. Four themes emerged for beliefs toward IT usage, namely, positive beliefs, negative beliefs, challenges anticipated in adopting IT use, and facilitation factors. The positive beliefs were related to improvement in work efficiency and social status, less paperwork, timely report generation, and better learning. The negative beliefs were related to an increase in working hours, close monitoring, and feeling over-burdened.

CONCLUSION

We found that FLWs had knowledge regarding the benefits of IT use, but they lacked knowledge regarding laptop/computer use. They had a satisfactory level of confidence in using smartphones, and most of them were using mobile applications. The majority of the FLWs had a positive attitude and beliefs toward IT use and wanted to use it in the future.

The supply is there. So why can't pregnant and breastfeeding women in rural India get the COVID-19 vaccine?

Despite COVID-19 vaccines being available to pregnant women in India since summer 2021, little is known about vaccine uptake among this high need population. We conducted mixed methods research with pregnant and recently delivered rural women in northern India, consisting of 300 phone surveys and 15 in-depth interviews, in November 2021. Only about a third of respondents were vaccinated, however, about half of unvaccinated respondents reported that they would get vaccinated now if they could. Fears of harm to the unborn baby or young infant were common (22% of unvaccinated women). However, among unvaccinated women who wanted to get vaccinated, the most common barrier reported was that their health care provider refused to provide them the vaccine. Gender barriers and social norms also played a role, with family members restricting women's access. Trust in the health system was high, however, women were most often getting information about COVID-19 vaccines from sources that they did not trust, and they knew they were getting potentially poor-quality information. Qualitative data shed light on the barriers women faced from their family and health care providers but described how as more people got the vaccine that norms were changing. These findings highlight how pregnant women in India have lower vaccination rates than the general population, and while vaccine hesitancy does play a role, structural barriers from the health care system also limit access to vaccines. Interventions must be developed that target household decision-makers and health providers at the community level, and that take advantage of the trust that rural women already have in their health care providers and the government. It is essential to think beyond vaccine hesitancy and think at the system level when addressing this missed opportunity to vaccinate high risk pregnant women in this setting.

Digital Health Technologies for Maternal and Child Health in African and other LMICs: A Cross-disciplinary Scoping Review with Stakeholder Consultation (Preprint)

BACKGROUND

Maternal and child health (MCH) is a global health concern, especially impacting low- and middle-income countries (LMIC). Digital health technologies are creating opportunities to address the social determinants of MCH by facilitating access to information and providing other forms of support throughout the maternity journey. Previous reviews in different disciplines have synthesized digital health intervention outcomes in LMIC. However, contributions in this space are scattered across publications in different disciplines and lack coherence in what digital MCH means across fields.

OBJECTIVE

This cross-disciplinary scoping review synthesized the existing published literature in 3 major disciplines on the use of digital health interventions for MCH in LMIC, with a particular focus on sub-Saharan Africa.

METHODS

We conducted a scoping review using the 6-stage framework by Arksey and O'Malley across 3 disciplines, including public health, social sciences applied to health, and human-computer interaction research in health care. We searched the following databases: Scopus, PubMed, Google Scholar, ACM Digital Library, IEEE Xplore, Web of Science, and PLOS. A stakeholder consultation was undertaken to inform and validate the review.

RESULTS

During the search, 284 peer-reviewed articles were identified. After removing 41 duplicates, 141 articles met our inclusion criteria: 34 from social sciences applied to health, 58 from public health, and 49 from human-computer interaction research in health care. These articles were then tagged (labeled) by 3 researchers using a custom data extraction framework to obtain the findings. First, the scope of digital MCH was found to target health education (eg, breastfeeding and child nutrition), care and follow-up of health service use (to support community health workers), maternal mental health, and nutritional and health outcomes. These interventions included mobile apps, SMS text messaging, voice messaging, web-based applications, social media, movies and videos, and wearable or sensor-based devices. Second, we highlight key challenges: little attention has been given to understanding the lived experiences of the communities; key role players (eg, fathers, grandparents, and other family members) are often excluded; and many studies are designed considering nuclear families that do not represent the family structures of the local cultures.

CONCLUSIONS

Digital MCH has shown steady growth in Africa and other LMIC settings. Unfortunately, the role of the community was negligible, as these interventions often do not include communities early and inclusively enough in the design process. We highlight key opportunities and sociotechnical challenges for digital MCH in LMIC, such as more affordable mobile data; better access to smartphones and wearable technologies; and the rise of custom-developed, culturally appropriate apps that are more suited to low-literacy users. We also focus on barriers such as an overreliance on text-based communications and the difficulty of MCH research and design to inform and translate into policy.

"The Videos Gave Weight to Our Work": Animated mHealth Videos and Tablet Technology Boost Community Health Workers' Perceived Credibility in Khayelitsha, South Africa

Mobile health (mHealth) interventions are increasingly used to support community health workers (CHWs) in low-and middle-income countries. As near-peers within their communities, the credibility of CHWs is sometimes questioned-a recognized barrier to their efficacy. Nested within a large, randomized-controlled trial, this qualitative study captured the experiences of South African CHWs, called "Mentor-Mothers," using tablets and animated videos to promote exclusive breastfeeding. We conducted in-depth telephone interviews with 26 tablet-carrying Mentor-Mothers. We analyzed interview transcripts using a Grounded Theory approach, then developed a theoretical framework, based on an emerging theme, for understanding how tablet technology boosts the perceived credibility of CHWs. Tablet-carrying Mentor-Mothers described an increase in their perceived credibility, which they attributed to overt and signaling effects related to enhanced credibility of (1) their messages, (2) themselves as messengers, and (3) the program employing them. Mobile technology investments in CHWs could enhance their credibility, translating into meaningful investments in the health of under-served communities.

The effect of electronic job aid assisted one‐to‐one counselling to support exclusive breastfeeding among 0–5‐month‐old infants in rural Bangladesh

Exclusive breastfeeding (EBF) for the first 6 months has established benefits, yet had slow improvements globally. Little is known about electronic job aid‐assisted counselling to support EBF. As a secondary outcome of a cluster randomized controlled trial in Bangladesh, we assessed the effect of electronic job aid‐supported nutrition counselling and practical demonstration on EBF. We randomized pregnant women to one of five study arms in the trial and followed mother–child dyads until 2 years of age. Community health workers (CHWs) provided breastfeeding counselling with or without prenatal and complementary nutrient supplements in all four intervention arms. The comparison arm continued with the usual practice where mothers could receive nutrition counselling at routine antenatal and postnatal care, and during careseeking for childhood illnesses. We assessed breastfeeding indicators at birth and monthly until the child was 6 months old, in both intervention and comparison arms. To evaluate the effect of nutrition counselling on breastfeeding, we combined all four intervention arms and compared them with the comparison arm. Intervention newborns had half the risk (relative risk [RR]: 0.54, 95% confidence interval [CI]: 0.39, 0.76) of receiving prelacteal feeds than those in the comparison arm. EBF declined steeply in the comparison arm after 3 months of age. EBF was 16% higher in the intervention than the comparison arm at 4 months (RR: 1.16, 95% CI: 1.08, 1.23) and 22% higher at 5 months of age (RR: 1.22, 95% CI: 1.12, 1.33). Maternal background and household characteristics did not modify the intervention effect, and we observed no difference in EBF among caesarean versus vaginal births. Breastfeeding counselling and practical demonstration using an electronic job aid by CHWs are promising interventions to improve EBF and are scalable into existing community‐based programmes.

Using an electronic job aid, repeated, one‐to‐one counselling and practical demonstration to mothers by locally recruited CHWs reduced prelacteal feeding and improved EBF practice by delaying the early introduction of complementary food.

The positive effect of counselling on EBF remains similar with or without nutrient supplementation.

Electronic job aid supported counselling to promote breastfeeding should be integrated into existing community‐based maternal and child health programmes.

Digital Solutions for Community and Primary Health Workers: Lessons From Implementations in Africa

The agenda for Universal Health Coverage has driven the exploration of various innovative approaches to expanding health services to the general population. As more African countries have adopted digital health tools as part of the strategic approach to expanding health services, there is a need for defining a standard framework for implementation across board. Therefore, there is a need to review and employ an evidence-based approach to inform managing challenges, adopting best approaches, and implement informed recommendations. We reviewed a variety of digital health tools applied to different health conditions in primary care settings and highlighted the challenges faced, approaches that worked and relevant recommendations. These include limited coverage and network connectivity, lack of technological competence, lack of power supply, limited mobile phone usage and application design challenges. Despite these challenges, this review suggests that mHealth solutions could attain effective usage when healthcare workers receive adequate onsite training, deploying applications designed in an intuitive and easy to understand approach in a manner that fits into the users existing workflows, and involvement of the stakeholders at all levels in the design, planning, and implementation stages of the interventions.

Performance barriers of Civil Registration System in Bihar: An exploratory study

Objectives

Vital statistics generated by the Civil Registration System (CRS) are essential for developing healthcare interventions at all administrative levels. Bihar had one of the lowest levels of mortality registration among India’s states. This study investigates CRS’s performance barriers from the perspective of CRS staff and community members in Bihar.

Methods

We conducted a primary qualitative survey in the two districts of Bihar during February-March 2020 with CRS staff (n = 15) and community members (n = 90). We purposively selected the Patna and Vaishali districts of Bihar for the survey. Thematic analysis was done to identify the pattern across the data using the Atlas-ti software.

Results

Most participants showed a good understanding of registration procedures and birth and death registration benefits. The perceived need for death registration is lower than birth registration. Birth registration was higher among female children than male children. We found that most participants did not report children or adult female death due to lack of financial or property-related benefits. Most participants faced challenges in reporting birth and death due to poor delivery of services at the registration centres, higher indirect opportunity cost, and demand of bribes by the CRS staff for providing certificates. We found a lack of adequate investment, shortage of dedicated staff, and limited computer and internet services at the registration centres.

Conclusions

Poor data on birth and death registration could lead decision-makers to target health services inappropriately. Strengthening health institutions’ linkage with the registration centres, mobile registration in far-flung areas and regular CRS staff training could increase death registration levels. An adequate awareness campaign on the benefits of birth and death registration is required to increase the reporting of vital events.

Design and Process of Implementation Mobile Application Based Modular Training on Early Detection of Cancers (M-OncoEd) for Primary Care Physicians in India

BACKGROUND

Early detection of curable cancers is a cost-effective way to address the cancer care burden of low- and middle-income countries and active engagement of primary care physicians using mobile technology can have a significant impact on cancer outcomes in a short time.

AIMS

To describe the process of mHealth study; Oncology Education and Training for Providers using Mobile Phones which developed a mobile application (M-OncoEd) to educate physicians on approaches to early detection of curable cancers. It also aims to describe how the insight gained through qualitative research by the researchers was used in the design and implementation of the project.

METHODOLOGY

Qualitative research methods were used in all the phases of the study. Phenomenology was used in the formative phase with three expert meetings, two Focus Group Discussion (FGD) and five In-depth Interviews (IDI), and during the implementation stage with two FGDs, three IDI, and five informal discussions.

OBSERVATIONS

The majority of curable cancers are detected at a late stage and poorly managed in India, and active engagement of primary care physicians can have a significant impact on cancer outcomes. There is a lack of knowledge and skills for early detection of cancers among consultants and physicians and this can be attributed to the training gap. M-OncoEd was a need-based well designed engaging learning platform to educate primary care physicians on Breast, Cervical, and Oral Cancer early detection. It was found to be very useful by the beneficiaries and made them more confident for early detection of cancers from the community.

CONCLUSIONS

This research study could design a need-based, cost-effective mobile-based learning tool for primary care physicians using the expertise and experience of the experts in cancer care using qualitative methods.

Assessing costs of developing a digital program for training community health workers to deliver treatment for depression: A case study in rural India

Digital technology has emerged as a promising approach for training and building capacity of community health workers in low-income and middle-income countries (LMICs). Little is known about the cost of developing digital training programs in LMICs, which hinders the adoption, implementation, and scaling up of the programs in routine primary care settings. This study assessed the costs of developing a digital program for training community health workers to deliver a psychological treatment for depression in a rural district of Madhya Pradesh, India. We developed survey instruments to document required resources in development, including involved personnel (their roles, responsibilities, time spent, and salaries or payments), information technologies (e.g., smartphones, software programs), and infrastructure-related costs (e.g., vehicle, office space, utilities). Costs were estimated from an accounting perspective. Over a 10-month developmental period, the total costs were 208,814 USD, with the largest portion on human resources (61%, with 14% on management and supervision), followed by information technologies (33%), and infrastructure-related costs (6%). These findings could inform policymakers in LMICs on costs of developing online-training programs, which will be especially useful during the COVID-19 pandemic.

Implementing a "convergent" framework of action against childhood malnutrition in urban informal settlements of Mumbai: Frontline perspectives

Context:

The National Nutrition Mission (POSHAN Abhiyaan) intends to “converge” nutrition-related program components across sectors (nutrition, health, water, and sanitation). In this study, we have examined the perspectives of Anganwadi workers (AWWs), the frontline workers of the Integrated Child Development Services, on working in convergence with the public health sector.

Methods:

This exploratory qualitative study was done between June 2018 and June 2019 in two urban informal settlements in Mumbai. We conducted in-depth interviews with 26 AWWs and their supervisors, purposively sampled and diversified in terms of age, education, and years of experience. We used the software NVivo version 12 to aid analysis.

Results:

Most AWWs acknowledged that a convergent framework of action between “nutrition” and “health” was likely to be beneficial to the community. However, they also shared that cross-sector convergence was currently limited due to technical unfamiliarity with “health-sector” issues in the frontline, discomfort with data sharing, and lack of meaningful incentives for joint work. Broader organizational challenges such as poor infrastructure and lack of supervision, as well as challenges in the urban context (migration and cultural barriers) further hindered joint activities.

Conclusions:

The findings indicate that critical structural gaps in the urban setup of ICDS need to be addressed and AWWs need to be better familiarized with the changing roles expected from them under POSHAN Abhiyaan. To work better with the health sector, the work timings of AWWs need to be aligned with those of the health sector and meaningful financial incentives need to be put in place for cross-sector activities.

Evaluating the effectiveness of Community Health Worker home visits on infant health: A quasi-experimental evaluation of Home Based Newborn Care Plus in India

Background

Home visits by community health workers are promoted to improve the coverage and uptake of evidence-based newborn services and behaviours. However, evidence on the effectiveness of these home visits delivered through government systems at scale is limited, as is evidence from the post-neonatal period. From 2013 to 2017, the Government of India piloted an intervention called Home Based Newborn Care Plus with the goal of reducing pneumonia- and diarrhoea-related morbidity and malnutrition. Village-based Accredited Social Health Activists were incentivised to make quarterly home visits to infants between three and 12 months of age. After the pilot, the intervention was adapted and scaled up nationally (with an additional visit at 15 months of age) as a new programme called Home Based Care for Young Child.

Methods

The study used a quasi-experimental, difference-in-differences method to assess the quantitative impact on key outcome indicators by comparing changes over time in treatment districts with matched control districts. This was supplemented by a quantitative health worker survey and qualitative data collected at worker and community level.

Results

The intervention led to a significant increase in the number of home visits, and their content became more aligned with Home Based Newborn Care Plus protocols. However, absolute levels of coverage remained low. The intervention had no detectable effect on the key outcomes of feeding practices, handwashing, iron and folic acid and oral rehydration solution supplementation, growth monitoring, and immunisation.

Conclusions

Given the scale up of Home-Based Care for Young Child, there is a need to identify appropriate and comprehensive support for Accredited Social Health Activists to attain high coverage and quality and deliver impact. This will require reconsidering current design elements (such as incentives) and solving the underlying demand side and system level challenges (such as workload and supply chains) constraining Accredited Social Health Activists.

Avoiding the Road to Nowhere: Policy Insights on Scaling up and Sustaining Digital Health

Digital health solutions offer tremendous potential to enhance the reach and quality of health services and population-level outcomes in low- and middle-income countries (LMICs). While the number of programs reaching scale increases yearly, the long-term sustainability for most remains uncertain. In this article, as researchers and implementors, we draw on experiences of designing, implementing and evaluating digital health solutions at scale in Africa and Asia, and provide examples from India and South Africa to illustrate ten considerations to support scale and sustainability of digital health solutions in LMICs. Given the investments being made in digital health solutions and the urgent concurrent needs to strengthen health systems to ensure their responsiveness to marginalized populations in LMICs, we cannot afford to go down roads that 'lead to nowhere'. These ten considerations focus on drivers of equity and innovation, the foundations for a digital health ecosystem, and the elements for systems integration. We urge technology enthusiasts to consider these issues before and during the roll-out of large-scale digital health initiatives to navigate the complexities of achieving scale and enabling sustainability.

Dietary Patterns and Determinants of Pregnant and Lactating Women From Marginalized Communities in India: A Community-Based Cross-Sectional Study

Objective: Dietary pattern analysis has emerged as a balanced and realistic approach that reflects how the food is consumed in real life. However, previous studies have overlooked the two important phases in women's life, pregnancy, and lactation. We aimed to explore dietary patterns and their determinants among pregnant and lactating women from marginalized families in rural areas and urban slums of India. Methods: It was a community-based cross-sectional study conducted across four districts of India, one from each region (North, West, East, and South). We used a structured questionnaire to collect data on socio-demographic characteristics and access to nutrition services. The dietary data were collected using a qualitative food frequency questionnaire having 204 food items, which were clubbed into 16 major food groups. The principal component analysis method was employed to identify dietary patterns (prefixed at 4). We used multinomial logistic regression to explore associations of socio-demographic and access to nutrition services' variables with identified dietary patterns. Results: The data of 476 pregnant and 446 lactating women were assessed. Four patterns explained for 54% of the variation in their food intake. The patterns identified were low-mixed vegetarian (19%), non-vegetarian (15%), high-mixed vegetarian (11%), and calorie-rich (9%). The low-mixed diet was rich in rice, roots and tubers, green leafy vegetables, and other vegetables. The non-vegetarian diet was characterized by high loadings for nuts or seeds, chicken, meat or fish, eggs, beverages (milk-based), and snacks. The high-mixed vegetarian diet was rich in cereals other than rice and wheat, pulses, and fruits. The calorie-rich diet had high factor loadings for wheat, butter and oil, sweets, and milk and milk products. Hindus and women who lived in rural areas had higher odds of consuming a low-mixed vegetarian diet and lower odds of a high-mixed vegetarian diet. Working women and those who received nutrition advice during pregnancy or lactation had 2-3 times higher odds of consuming a high-mixed vegetarian diet. Conclusions: A high prevalence of a low-mixed vegetarian diet among women can have adverse pregnancy and birth outcomes. Healthy dietary patterns during pregnancy and lactation are required to meet the increased micro- and macronutrient requirements for improved maternal and child health.

Health workers' perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis

BACKGROUND

Mobile health (mHealth), refers to healthcare practices supported by mobile devices, such as mobile phones and tablets. Within primary care, health workers often use mobile devices to register clients, track their health, and make decisions about care, as well as to communicate with clients and other health workers. An understanding of how health workers relate to, and experience mHealth, can help in its implementation.

OBJECTIVES

To synthesise qualitative research evidence on health workers' perceptions and experiences of using mHealth technologies to deliver primary healthcare services, and to develop hypotheses about why some technologies are more effective than others.

SEARCH METHODS

We searched MEDLINE, Embase, CINAHL, Science Citation Index and Social Sciences Citation Index in January 2018. We searched Global Health in December 2015. We screened the reference lists of included studies and key references and searched seven sources for grey literature (16 February to 5 March 2018). We re-ran the search strategies in February 2020. We screened these records and any studies that we identified as potentially relevant are awaiting classification.

SELECTION CRITERIA

We included studies that used qualitative data collection and analysis methods. We included studies of mHealth programmes that were part of primary healthcare services. These services could be implemented in public or private primary healthcare facilities, community and workplace, or the homes of clients. We included all categories of health workers, as well as those persons who supported the delivery and management of the mHealth programmes. We excluded participants identified as technical staff who developed and maintained the mHealth technology, without otherwise being involved in the programme delivery. We included studies conducted in any country.

DATA COLLECTION AND ANALYSIS

We assessed abstracts, titles and full-text papers according to the inclusion criteria. We found 53 studies that met the inclusion criteria and sampled 43 of these for our analysis. For the 43 sampled studies, we extracted information, such as country, health worker category, and the mHealth technology. We used a thematic analysis process. We used GRADE-CERQual to assess our confidence in the findings.

MAIN RESULTS

Most of the 43 included sample studies were from low- or middle-income countries. In many of the studies, the mobile devices had decision support software loaded onto them, which showed the steps the health workers had to follow when they provided health care. Other uses included in-person and/or text message communication, and recording clients' health information. Almost half of the studies looked at health workers' use of mobile devices for mother, child, and newborn health. We have moderate or high confidence in the following findings. mHealth changed how health workers worked with each other: health workers appreciated being more connected to colleagues, and thought that this improved co-ordination and quality of care. However, some described problems when senior colleagues did not respond or responded in anger. Some preferred face-to-face connection with colleagues. Some believed that mHealth improved their reporting, while others compared it to "big brother watching". mHealth changed how health workers delivered care: health workers appreciated how mHealth let them take on new tasks, work flexibly, and reach clients in difficult-to-reach areas. They appreciated mHealth when it improved feedback, speed and workflow, but not when it was slow or time consuming. Some health workers found decision support software useful; others thought it threatened their clinical skills. Most health workers saw mHealth as better than paper, but some preferred paper. Some health workers saw mHealth as creating more work. mHealth led to new forms of engagement and relationships with clients and communities: health workers felt that communicating with clients by mobile phone improved care and their relationships with clients, but felt that some clients needed face-to-face contact. Health workers were aware of the importance of protecting confidential client information when using mobile devices. Some health workers did not mind being contacted by clients outside working hours, while others wanted boundaries. Health workers described how some community members trusted health workers that used mHealth while others were sceptical. Health workers pointed to problems when clients needed to own their own phones. Health workers' use and perceptions of mHealth could be influenced by factors tied to costs, the health worker, the technology, the health system and society, poor network access, and poor access to electricity: some health workers did not mind covering extra costs. Others complained that phone credit was not delivered on time. Health workers who were accustomed to using mobile phones were sometimes more positive towards mHealth. Others with less experience, were sometimes embarrassed about making mistakes in front of clients or worried about job security. Health workers wanted training, technical support, user-friendly devices, and systems that were integrated into existing electronic health systems. The main challenges health workers experienced were poor network connections, access to electricity, and the cost of recharging phones. Other problems included damaged phones. Factors outside the health system also influenced how health workers experienced mHealth, including language, gender, and poverty issues. Health workers felt that their commitment to clients helped them cope with these challenges.

AUTHORS' CONCLUSIONS

Our findings propose a nuanced view about mHealth programmes. The complexities of healthcare delivery and human interactions defy simplistic conclusions on how health workers will perceive and experience their use of mHealth. Perceptions reflect the interplay between the technology, contexts, and human attributes. Detailed descriptions of the programme, implementation processes and contexts, alongside effectiveness studies, will help to unravel this interplay to formulate hypotheses regarding the effectiveness of mHealth.