Development, validation & pilot testing of a questionnaire to assess healthcare seeking behaviour, healthcare service utilization & out-of-pocket expenditure of Particularly Vulnerable Tribal Groups of Odisha, India.

Background & objectives: Assessing healthcare seeking behaviour (HSB), healthcare utilization and related out-of-pocket expenditures of Particularly Vulnerable Tribal Groups (PVTGs) of India through a prism of the health system may help to achieve equitable health outcomes. Therefore, this comprehensive study was envisaged to examine these issues among PVTGs of Odisha, India. However, there exists no validated questionnaire to measure these variables among PVTGs. Therefore, a study questionnaire was developed for this purpose and validated. Methods: Questionnaire was constructed in four phases: questionnaire development, validity assessment, pilot testing and reliability assessment. Nine domain experts face validated questionnaire in two rounds, followed by a single round of quantitative content validity. Next, the questionnaire was pretested in three rounds using cognitive interviews and pilot-tested among 335 and 100 eligible individuals for the two sections healthcare seeking behaviour (HSB-Q) and maternal and child healthcare service utilization (MCHSU-Q). Internal consistency reliability was assessed for de novo HSB-Q. Results: On two rounds of expert-driven face validity, 55 items were eliminated from 200 items. Questionnaire showed moderate to high content validity (item-level content validity index range: 0.78 to 1, scale-level content validity index/universal agreement: 0.73; scale-level content validity index/average: 0.96 and multirater kappa statistics range: 0.6 to 1). During the pre-test, items were altered until saturation was achieved. Pilot testing helped to refine interview modalities. The Cronbach alpha and McDonald's omega assessing internal consistency of HSB-Q were 0.8 and 0.85, respectively. Interpretation & conclusions: The questionnaire was found to be valid and reliable to explore healthcare seeking behaviour, maternal and child healthcare utilization and related out-of-pocket expenditure incurred by PVTGs of Odisha, India.

Out-of-pocket expenditure and its correlates for institutional deliveries in private and public healthcare sectors in India: findings from NFHS 5.

BACKGROUND: Increased coverage for institutional delivery (ID) is one of the essential factors for improved maternal and child health (MCH). Though, ID increased over time, out-of-pocket expenditure (OOPE) for the care-seeking families had been found to be growing, parallelly. Hence, we estimated OOPE in public and private health centres for ID, along with their sources and attributing factors and compared state and union territory-wise, so that financial risk protection can be improved for MCH related services. METHODS: We used women's data from the National Family Health Survey, 2019-2021 (NFHS-5). Reproductive aged women (15-49 years) delivering one live child in last 5 years (n = 145,386) in any public or private institutions, were included. Descriptive statistics were presented as frequency and proportions. OOPE, was summarized as median and interquartile range (IQR). To estimate the extent for each covariate's effect, linear regression model was conducted. RESULTS: Overall median OOPE for ID was Rs. 4066 (median OOPE: private hospitals: Rs.25600, public hospitals: Rs.2067). Health insurance was not sufficient to slash OOPE down at private facilities. Factors associated significantly to high OOPE were mothers' education, elderly pregnancy, complicated delivery, birth order of the latest child etc. CONCLUSION: A standard norm for ID should be implemented as a component of overseeing and controlling inequality. Aiding the needy is probably just one side of the solution, while the focus is required to be shifted towards reducing disparity among the health facilities, so that the beneficiaries do not need to spend on essential services or during emergencies.

Childhood health and educational disadvantage are associated with adult multimorbidity in the global south: findings from a cross-sectional analysis of nationally representative surveys in India and Brazil.

INTRODUCTION: Multimorbidity has emerged as a major healthcare challenge in low/middle-income countries (LMICs) such as India and Brazil. Life course epidemiology suggests that adverse events in early life contribute to an individual's later health in adulthood. However, little is known about the influence of early life health and social factors on the development of multimorbidity in adulthood in LMICs. We aimed to explore the association of adult multimorbidity with childhood health and social disadvantages among two LMICs, India and Brazil. METHODS: We conducted a secondary data analysis of older adults aged ≥50 years using nationally representative surveys from Longitudinal Ageing Study in India, 2017-2018 (n=51 481) and 'Estudo Longitudinal da Saude e Bem-Estar dos Idosos Brasileirous', 2015-2016 (n=8730). We estimated the prevalence of multimorbidity along with 95% CI as a measure of uncertainty for all weighted proportions. Log link in generalised linear model was used to assess the association between childhood health and disadvantages with multimorbidity, reported as adjusted prevalence ratio (APR). RESULTS: The prevalence of multimorbidity was 25.53% and 55.24% in India and Brazil, respectively. Participants who perceived their childhood health as poor and missed school for a month or more due to illness had the highest level of multimorbidity across both countries. After adjusting for age and gender, a significant association between adult multimorbidity and poor self-rated childhood health (APR: (India: 1.38, 1.16 to 1.65) and (Brazil: 1.19, 1.09 to 1.30)); and missed school for a month due to illness (AOR: (India: 1.73, 1.49 to 2.01) and (Brazil: 1.16, 1.08 to 1.25)) was observed. CONCLUSION: Early life health, educational and economic disadvantages are associated with adult multimorbidity and appear to contribute to the later course of life. A life course approach to the prevention of multimorbidity in adulthood in LMICs may be useful in health programmes and policies.

Social determinants of tobacco use among tribal communities in India: Evidence from the first wave of Longitudinal Ageing Study in India.

BACKGROUND: Evidence on tobacco use among indigenous communities is scarce with available literature based either on a specific region or a particular tribe. Considering the large tribal population in India, it is pertinent to generate evidence on tobacco use among this community. Using nationally representative data, we aimed to estimate the prevalence of tobacco use and assess its determinants and regional variations among older tribal adults in India. METHODS: We analysed data from Longitudinal Ageing Study in India (LASI), wave-1 conducted in 2017-18. A sample of 11,365 tribal individuals aged ≥ 45 years was included in this study. Descriptive statistics was used to assess the prevalence of smokeless tobacco (SLT), smoking, and any form of tobacco use. Separate multivariable regression models were executed to assess the association of various socio-demographic variables with different forms of tobacco use, reported as adjusted odds ratio (AOR) with 95% confidence interval. RESULTS: The overall prevalence of tobacco use was around 46%, with 19% of smokers and nearly 32% smokeless tobacco (SLT) users. Participants from the lowest MPCE quintile group had a significantly higher risk of consuming (SLT) [AOR: 1.41 (95% CI: 1.04-1.92)]. Alcohol was found to be associated with both smoking [AOR: 2.09 (95% CI: 1.69-2.58)] and (SLT) [AOR: 3.05 (95% CI: 2.54-3.66)]. Relatively higher odds of consuming (SLT) were associated with the eastern region [AOR: 6.21 (95% CI: 3.91-9.88)]. CONCLUSION: This study highlights the high burden of tobacco use and its social determinants among the tribal population in India, which can help tailor anti-tobacco messages for this vulnerable population to make tobacco control programs more effective.

Prevalence, pattern and determinants of disabilities in India: Insights from NFHS-5 (2019-21).

There is a need to provide an overview of the disability burden in India as there are limited studies. The present study aimed to estimate the prevalence and assess the pattern and determinants of disability in India. We analyzed National Family Health Survey-5 data using the "svyset" command in STATA software. We assessed the correlates by multivariable regression and reported an adjusted prevalence ratio (aPR) with a 95% confidence interval (CI). QGIS 3.2.1 software was used for spatial analysis of distributions of different disabilities. The mean (SD) age of 28,43,917 respondents was 30.82 (20.62) years, with 75.83% (n = 21,56,633) and 44.44% (n = 12,63,086) of them being from a rural area and were not educated, respectively. The overall prevalence of disability was 4.52% [(95% CI: 4.48-4.55), n = 1,28,528]. Locomotor disabilities accounted for 44.70% of all disabilities (n = 51,659), followed by mental disabilities (20.28%, n = 23,436). Age 75 years and above (vs. 0-14 years) [aPR: 2.65 (2.50-2.81)], male (vs. female) [aPR: 1.02 (1.0-1.04)], no education (vs. higher education) [aPR 1.62 (1.56-1.68)], unmarried (vs married) [aPR: 1.76 (1.70-1.82)], seeking the care of non-governmental organization (NGO) (vs. other) [aPR: 1.32 (1.13-1.55)] were significant independent determinants. The highest overall prevalence of locomotor was in Lakshadweep/UTs (8.88%) and Delhi (57.03%), respectively. Out of every hundred individuals in India, four have a disability. More intervention strategies should be planned, considering factors like education, residence, health promotion and caste so that the services provided by the government can be available and accessible to everyone in need.

Disparities in Coverage of Adult Immunization among Older Adults in India.

A lack of a universal adult immunization scheme in India poses a challenge to achieve universal health coverage. Healthcare disparity is one of the biggest challenges in low- and middle-income countries such as India. We aimed to estimate the disparities in coverage of various adult vaccines among older adults in India using nationally representative data. An observational analysis among 31,464 participants aged ≥60 years from the Longitudinal Ageing Study in India, 2017-2018, was conducted. Vaccination coverage across wealth quintiles and selected non-communicable diseases were reported as frequencies and weighted proportions along with their 95% confidence intervals as a measure of uncertainty. The highest coverage was of the diphtheria and tetanus vaccine (2.75%) followed by typhoid (1.84%), hepatitis B (1.82%), influenza (1.59%), and pneumococcal (0.74%). The most affluent groups had a higher coverage of all vaccines. Participants having high cholesterol, psychiatric conditions, and cancer had the highest coverage of all vaccines. Overall, a very low coverage of all vaccines was observed. The coverage was influenced by social determinants of health, depicting a disparity in accessing immunization. Hence, at-risk groups such as the deprived and multimorbid patients need to be covered under the ambit of free immunization to achieve universal health coverage.

Multimorbidity and Complex Multimorbidity in India: Findings from the 2017-2018 Longitudinal Ageing Study in India (LASI).

Complex multimorbidity refers to the co-occurrence of three or more chronic illnesses across >2 body systems, which may identify persons in need of additional medical support and treatment. There is a scarcity of evidence on the differences in patient outcomes between non-complex (≥2 conditions) and complex multimorbidity groups. We evaluated the prevalence and patient outcomes of complex multimorbidity and compared them to non-complex multimorbidity. We included 30,489 multimorbid individuals aged ≥45 years from the Longitudinal Ageing Study in India (LASI) from wave-1 conducted in 2017−2018. We employed a log link in generalised linear models (GLM) to identify possible risk factors presenting the adjusted prevalence−risk ratio (APRR) and adjusted prevalence−risk difference (APRD) with 95% confidence interval. The prevalence of complex multimorbidity was 34.5% among multimorbid individuals. Participants residing in urban areas [APRR: 1.10 (1.02, 1.20)], [APRD: 0.04 (0.006, 0.07)] were more likely to report complex multimorbidity. Participants with complex multimorbidity availed significantly higher inpatient department services and had higher expenditure as compared to the non-complex multimorbidity group. Our findings have major implications for healthcare systems in terms of meeting the requirements of people with complicated multimorbidity, as they have significantly higher inpatient health service utilisation, higher medical costs, and poorer self-rated health.

Multimorbidity Among Urban Poor in India: Findings From LASI, Wave-1.

Background: Multimorbidity has become a norm in low-and middle-income countries such as India requiring notable health system improvements to combat. Urban population is a heterogeneous group where poor are at a risk of facing inequity in accessing healthcare services which can jeopardize our efforts to attain universal health coverage (UHC). We aimed to estimate the prevalence, assess correlates and patterns of multimorbidity among urban poor. Further, we assessed the outcomes of multimorbidity such as healthcare utilization, expenditure and self-rated health. Methods: Longitudinal Aging Study in India (LASI), wave-1 is a nationally representative survey conducted amongst participants aged ≥45 years in 2017-18. We included 9,327 participants residing in urban areas, categorized as poor based on monthly per capita expenditure. Descriptive statistics computed prevalence with 95% uncertainty interval. Multivariable logistic regression was executed to assess the association between multimorbidity and various correlates, expressed as adjusted odds ratio. An ordinal regression model was run between self-rated health and number of chronic conditions. Results: The prevalence of multimorbidity was 45.26% among the urban poor. Hypertension and oral morbidities were the most commonly observed dyad. Respondents who were poorer [AOR: 1.27 (1.06-1.51)] had higher chances of having multimorbidity than the poorest. Respondents with a health insurance [AOR: 1.40 (1.14-1.70)] had a higher risk of having multimorbidity. In-patient admission was significantly higher among participants having multimorbidity. Out of pocket expenditure increased while self-rated health deteriorated with each additional morbid condition. Conclusion: Multimorbidity is found to be increasingly prevalent among urban poor and individuals having health insurance which demonstrates the need to expand healthcare insurance schemes such as Ayushman Bharat for urban poor to achieve UHC.

Health-Related Challenges and Coping Strategies Among Women During Pandemics: A Systematic Review of Qualitative Studies.

Equality and empowerment for women are among the 17 Sustainable Development Goals (SDGs 5). Although women were confronted with more challenges in various ways during pandemics; however, there is hardly any systematic synthesis of evidence on women's health-related challenges during pandemics. We reviewed the health challenges faced by women during the pandemic. We searched MEDLINE, PsycINFO, and CINAHL following PRISMA guidelines. We identified 2,831 studies, of which we included 17. Reproductive health, psychosocial health, and gender-based violence emerged as significant challenges. Many studies reported challenges in provisions for routine services and increased anxiety, fear, and stress among women. The findings highlighted that pandemic have a significant impact on women's health. Women must have equal rights and opportunities without discrimination, which requires urgent action to enhance women's rights and to achieve SDGs. Women engagement/involvement in pandemic-related services needs to be explored, which will aid in developing strategies to alleviate vulnerabilities.

Non-communicable diseases care during COVID-19 pandemic: A mixed-method study in Khurda district of Odisha, India.

BACKGROUND & OBJECTIVES: During any public health emergency, a need-based national non-communicable diseases (NCD) preparedness plan is essential. People living with NCDs could face challenges owing to restricted mobility, low access to medical care and suboptimal logistics during the pandemic. The present study explored the effect of the COVID-19 pandemic on NCD care in a district of Odisha State of India. METHODS: This study was carried out during May-June 2020 in the Khurda district of Odisha. A community-based explanatory mixed-method study was followed. Data collection comprised 12 in-depth interviews and 491 structured interviews using Likert-questionnaire with individuals having at least one NCD. Mantel-Haenszel's Chi-square test was used to assess the difference in the effect of COVID-19 on the routine NCD care. Qualitative data were analyzed by content analysis. RESULTS: Findings revealed that nearly two-thirds of participants encountered challenges in their routine investigation (69%), day-care procedures (67%) and reaching hospital (61%). Around half of them reported having trouble in doctor appointments (59%), emergency treatment (56%), access to the pharmacy (47%) and delay in healthcare (46%). Thirty seven per cent perceived that they could not access care because of social restriction/lockdown, 29 per cent attributed arranging finance as a constraint to visiting hospitals and 16 per cent avoided going to the hospital, fearing COVID-19 infection. INTERPRETATION & CONCLUSIONS: Our findings showed that people with chronic NCDs faced multiple challenges in accessing health care during the pandemic. A cohesive doctor-pharmacy-patient engagement is vital for managing NCD care during a pandemic. During emergencies, changes in dispensing practices and service provision closer to the patients are crucial. Additionally, health literacy and home-based NCD management should be encouraged.

Assessment of Directly Observed Treatment in Revised National Tuberculosis Control Programme: A Study from North India.

INTRODUCTION: Directly observed treatment short-course (DOTS) strategy is one of the vital components of Revised National Tuberculosis Control Programme (RNTCP) came into existence in 1997. Directly observed treatment providers (DOT providers) are the grass root level link between program and clients. AIMS: This study was undertaken to assess the quality of DOTS and facilities available at DOT centers and association between program input and outcome. MATERIALS AND METHODS: This prospective study was carried out to evaluate RNTCP in a North Indian District. Totally, 42 DOT providers providing treatment to registered RNTCP patients in four designated microscopy centers were included in this study. Program input was assessed based on a ten-point questionnaire regarding processes and facilities followed DOT center. Treatment outcome of 302 patients receiving DOTS under these providers was also assessed. STATISTICAL ANALYSIS: Data were analyzed using SPSS version 20. Categorical variables such as age group, sex, religion, location, work experience of DOT providers are measured in frequency and percentage. Chi-square was used to find association between quality of DOTS and outcome of treatment. P < 0.05 was considered statistically significant. RESULTS: The basic principle of DOTS was followed only in half (47.6%) of the DOT centers, counseling was not being done by 40.5% of the providers. Formal training of DOTS was given to two-thirds of the providers. The treatment outcome of patients was significantly associated with program input at DOT center level (Chi-square = 4.02, P < 0.05). CONCLUSIONS: There are few gaps in DOT practices such as administration of DOTS, patient counseling, and tracing of follow-up. This study also concluded that improved program input can enable to get a better outcome.