Non-communicable diseases, digital education and considerations for the Indian context - a scoping review.

INTRODUCTION: The increasing ageing of the population with growth in NCD burden in India has put unprecedented pressure on India's health care systems. Shortage of skilled human resources in health, particularly of specialists equipped to treat NCDs, is one of the major challenges faced in India. Keeping in view the shortage of healthcare professionals and the guidelines in NEP 2020, there is an urgent need for more health professionals who have received training in the diagnosis, prevention, and treatment of NCDs. This paper conducts a scoping review and aims to collate the existing evidence on the use of digital education of health professionals within NCD topics. METHODS: We searched four databases (Web of Science, PubMed, EBSCO Education Research Complete, and PsycINFO) using a three-element search string with terms related to digital education, health professions, and terms related to NCD. The inclusion criteria covered the studies to be empirical and NCD-related with the target population as health professionals rather than patients. Data was extracted from 28 included studies that reported on empirical research into digital education related to non-communicable diseases in health professionals in India. Data were analysed thematically. RESULTS: The target groups were mostly in-service health professionals, but a considerable number of studies also included pre-service students of medicine (n = 6) and nursing (n = 6). The majority of the studies included imparted online learning as self-study, while some imparted blended learning and online learning with the instructor. While a majority of the studies included were experimental or observational, randomized control trials and evaluations were also part of our study. DISCUSSION: Digital HPE related to NCDs has proven to be beneficial for learners, and simultaneously, offers an effective way to bypass geographical barriers. Despite these positive attributes, digital HPE faces many challenges for its successful implementation in the Indian context. Owing to the multi-lingual and diverse health professional ecosystem in India, there is a need for strong evidence and guidelines based on prior research in the Indian context.

Digital education for health professionals in India: a scoping review of the research.

BACKGROUND: The World Health Organization (WHO) predicts a global shortfall of 18 million health workers by 2030, particularly in low- and middle-income countries like India. The country faces challenges such as inadequate numbers of health professionals, poor quality of personnel, and outdated teaching styles. Digital education may address some of these issues, but there is limited research on what approaches work best in the Indian context. This paper conducts a scoping review of published empirical research related to digital health professions education in India to understand strengths, weaknesses, gaps, and future research opportunities. METHODS: We searched four databases using a three-element search string with terms related to digital education, health professions, and India. Data was extracted from 36 included studies that reported on empirical research into digital educational innovations in the formal health professions education system of India. Data were analysed thematically. RESULTS: Most study rationales related to challenges facing the Indian health care system, rather than a wish to better understand phenomena related to teaching and learning. Similarly, most studies can be described as general evaluations of digital educational innovations, rather than educational research per se. They mostly explored questions related to student perception and intervention effectiveness, typically in the form of quantitative analysis of survey data or pre- and post-test results. CONCLUSIONS: The analysis revealed valuable insights into India-specific needs and challenges. The Indian health professions education system's size and unique challenges present opportunities for more nuanced, context-specific investigations and contributions to the wider digital education field. This, however, would require a broadening of methodological approaches, in particular rigorous qualitative designs, and a focus on addressing research-worthy educational phenomena.

Out-of-pocket expenditure on childhood infections and its financial burden on Indian households: Evidence from nationally representative household survey (2017-18).

The key objective of this research was to estimate out of pocket expenditure (OOPE) incurred by the Indian households for the treatment of childhood infections. We estimated OOPE estimates on outpatient care and hospitalization by disease conditions and type of health facilities. In addition, we also estimated OOPE as a share of households' total consumption expenditure (TCE) by MPCE quintile groups to assess the quantum of the financial burden on the households. We analyzed the Social Consumption: Health (SCH) data from National Sample Survey Organization (NSSO) 75th round (2017-18). Outcome indicators were prevalence of selected infectious diseases in children aged less than 5 years, per episode of OOPE on outpatient care in the preceding 15 days, hospitalization in the preceding year and OOPE as a share of households' total consumption expenditure. Our analysis suggests that the most common childhood infection was 'fever with rash' followed by 'acute upper respiratory infection' and 'acute meningitis'. However, the highest OOPE for outpatient care and hospitalization was reported for 'viral hepatitis' and 'tuberculosis' episodes. Among the households reporting childhood infections, OOPE was 4.8% and 6.7% of households' total consumption expenditure (TCE) for outpatient care and hospitalization, respectively. Furthermore, OOPE as a share of TCE was disproportionately higher for the poorest MPCE quintiles (outpatient, 7.9%; hospitalization, 8.2%) in comparison to the richest MPCE quintiles (outpatient, 4.8%; hospitalization, 6.7%). This treatment and care-related OOPE has equity implications for Indian households as the poorest households bear a disproportionately higher burden of OOPE as a share of TCE. Ensuring financial risk protection and universal access to care for childhood illnesses is critical to addressing inequity in care.

Multimorbidity, healthcare use and catastrophic health expenditure by households in India: a cross-section analysis of self-reported morbidity from national sample survey data 2017-18.

BACKGROUND: The purpose of this research is to generate new evidence on the economic consequences of multimorbidity on households in terms of out-of-pocket (OOP) expenditures and their implications for catastrophic OOP expenditure. METHODS: We analyzed Social Consumption Health data from National Sample Survey Organization (NSSO) 75th round conducted in the year 2017-2018 in India. The sample included 1,13,823 households (64,552 rural and 49,271 urban) through a multistage stratified random sampling process. Prevalence of multimorbidity and related OOP expenditure were estimated. Using Coarsened Exact Matching (CEM) we estimated the mean OOP expenditure for individuals reporting multimorbidity and single morbidity for each episode of outpatient visits and hospital admission. We also estimated implications in terms of catastrophic OOP expenditure for households. RESULTS: Results suggest that outpatient OOP expenditure is invariably lower in the presence of multimorbidity as compared with single conditions of the selected Non-Communicable Diseases(NCDs) (overall, INR 720 [USD 11.3] for multimorbidity vs. INR 880 [USD 14.8] for single). In the case of hospitalization, the OOP expenditures were mostly higher for the same NCD conditions in the presence of multimorbidity as compared with single conditions, except for cancers and cardiovascular diseases. For cancers and cardiovascular, OOP expenditures in the presence of multimorbidity were lower by 39% and 14% respectively). Furthermore, around 46.7% (46.674-46.676) households reported incurring catastrophic spending (10% threshold) because of any NCD in the standalone disease scenario which rose to 63.3% (63.359-63.361) under the multimorbidity scenario. The catastrophic implications of cancer among individual diseases was the highest. CONCLUSIONS: Multimorbidity leads to high and catastrophic OOP payments by households and treatment of high expenditure diseases like cancers and cardiovascular are under-financed by households in the presence of competing multimorbidity conditions. Multimorbidity should be considered as an integrated treatment strategy under the existing financial risk protection measures (Ayushman Bharat) to reduce the burden of household OOP expenditure at the country level.

Size, composition and distribution of health workforce in India: why, and where to invest?

BACKGROUND: Investment in human resources for health not only strengthens the health system, but also generates employment and contributes to economic growth. India can gain from enhanced investment in health workforce in multiple ways. This study in addition to presenting updated estimates on size and composition of health workforce, identifies areas of investment in health workforce in India. METHODS: We analyzed two sources of data: (i) National Health Workforce Account (NHWA) 2018 and (ii) Periodic Labour Force Survey 2017-2018 of the National Sample Survey Office (NSSO). Using the two sources, we collated comparable estimates of different categories of health workers in India, density of health workforce and skill-mix at the all India and state levels. RESULTS: The study estimated (from NHWA 2018) a total stock of 5.76 million health workers which included allopathic doctors (1.16 million), nurses/midwives (2.34 million), pharmacist (1.20 million), dentists (0.27 million), and traditional medical practitioner (AYUSH 0.79 million). However, the active health workforce size estimated (NSSO 2017-2018) is much lower (3.12 million) with allopathic doctors and nurses/midwives estimated as 0.80 million and 1.40 million, respectively. Stock density of doctor and nurses/midwives are 8.8 and 17.7, respectively, per 10,000 persons as per NHWA. However, active health workers' density (estimated from NSSO) of doctor and nurses/midwives are estimated to be 6.1 and 10.6, respectively. The numbers further drop to 5.0 and 6.0, respectively, after accounting for the adequate qualifications. All these estimates are well below the WHO threshold of 44.5 doctor, nurses and midwives per 10,000 population. The results reflected highly skewed distribution of health workforce across states, rural-urban and public-private sectors. A substantial proportion of active health worker were found not adequately qualified on the one hand and on the other more than 20% of qualified health professionals are not active in labor markets. CONCLUSION: India needs to invest in HRH for increasing the number of active health workers and also improve the skill-mix which requires investment in professional colleges and technical education. India also needs encouraging qualified health professionals to join the labor markets and additional trainings and skill building for already working but inadequately qualified health workers.