Decomposing rural-urban gap in unsafe disposal practice of child stool in India using nationwide sample survey data.

A significant rural-urban disparity in unsafe child stool disposal practices exists in India, yet existing research falls short in identifying the contributing factors to this gap. This study addresses the research gap by contextualizing the rural-urban divide in unsafe child stool disposal using data from the fifth round of the National Family Health Survey (NFHS-5, 2019-21). In particular, the study examines the prevalence and predictors of unsafe disposal practices, exploring associated contributing factors to this gap. The study involves a sample of 78,074 women aged 15-49 with a living child under 2 years, without any missing data related to the study interest. Employing descriptive statistics, the Pearson chi-square test, multilevel logistic regression, and the Fairlie decomposition model, the research aims to fulfill its objectives. The rural-urban gap in unsafe child stool disposal practices among the study participants was 22.3 percentage points (pp), with a more pronounced gap among the Scheduled Tribes (ST). Notably, the gap was particularly wide in Madhya Pradesh (33.9 pp), Telangana (27.5 pp), Gujarat (26.1 pp), and Rajasthan (25.8 pp). Predictors such as mother's education, mass media exposure, household wealth quintile, and sanitation facilities proved significant irrespective of residence. However, religion, social group, and water facility on household premises emerged as significant factors in rural areas only. The study identified that 67% of the explained gap in unsafe child stool disposal practices was attributed to the rural-urban difference in household wealth. Other noteworthy contributors were 'household sanitation facility' (21.3%), 'mother's education level' (3.9%), and 'water facility on household premises' (3.9%). These findings underscore the need for population and area-specific policy interventions, especially for individuals from socio-economically disadvantaged backgrounds, those with lower education levels, and limited exposure to mass media, particularly in states with a high prevalence of unsafe disposal practices. Such interventions are crucial to mitigating the existing rural-urban gap in unsafe child stool disposal practices.

Exploring drivers of unsafe disposal of child stool in India using hierarchical regression model.

BACKGROUND: Disposal of children's stools is often neglected in Indian sanitation programs, putting them at higher risk of diseases transmitted through the fecal-oral route. Therefore, the current study aims to identify the socioeconomic and demographic factors associated with the unsafe disposal of child stool in India and to estimate the geographical variation in unsafe disposal. METHODS: The study used 78,074 births under two years from the fifth round of the National Family Health Survey (2019-21). Descriptive statistics, bivariate analysis with the chi-square test, and a four-level hierarchical logistic regression model were applied to accomplish the study objectives. RESULTS: Findings revealed a 61.3% prevalence of unsafe stool disposal nationwide, significantly varying between rural (45%) and urban (67%) areas. Multilevel logistic regression highlighted that mother's education, wealth quintile, and sanitation facility were significant predictors of unsafe disposal of child stools. Random intercept statistics revealed a substantial geographical unit-level variance in unsafe stool practice in India. CONCLUSION: The study emphasizes the widespread unsafe disposal of child stool among Indian mothers with young children below two years, and the study underscores a range of contributing factors, including education, media exposure, prosperity, water availability, and sanitation. It also accentuates the significance of the geographical variance in the unsafe disposal of child stool in India, particularly at the household level, followed by the community level. Hence, the findings underscore the importance of focused interventions, including targeted household-level poverty alleviation programs, initiatives to enhance sanitation and water facilities, and community-level public health awareness programs.

Factors associated with public and private healthcare utilization for outpatient care among older adults in India: A Wagstaff's decomposition of Anderson's behavioural model.

In India, an expanding ageing population will become a public health alarm, putting additional pressure on the healthcare system. Therefore, the current study aimed to examine the factors associated with outpatient healthcare choices among older Indian adults. We used data from the first wave of the Longitudinal Ageing Study in India (LASI, 2017-2018). A total of 34,588 individuals (age 45 years and over) who accessed outpatient healthcare services in the last 12 months during the survey were included in this research. A bivariate chi-square test was used to present the percentage distribution of types of outpatient healthcare utilisation by background characteristics. Multinomial logistic regression and Wagstaff's decomposition analyses were employed to explore the interplay of outpatient healthcare utilisation and allied predisposing, enabling, and need factors and examine these factors' contributions to the wealth-based inequalities in public, private, and other healthcare utilisation. Outpatient healthcare utilisation varied significantly according to socioeconomic and demographic factors. The findings suggest that consumption quintiles, place of residence, education, and health insurance were significant determinants of private and public healthcare utilisation and contributed to wealth-based inequalities in healthcare choices. The current study emphasises the need to strengthen and promote public healthcare services.

Revisiting the predisposing, enabling, and need factors of unsafe abortion in India using the Heckman Probit model.

Unsafe abortion refers to induced abortions performed without trained medical assistance. While previous studies have investigated predictors of unsafe abortion in India, none have addressed these factors with accounting sample selection bias. This study aims to evaluate the contributors to unsafe abortion in India by using the latest National Family Health Survey data conducted during 2019-2021, incorporating the adjustment of sample selection bias. The study included women aged 15 to 49 who had terminated their most recent pregnancy within five years prior to the survey (total weighted sample (N) = 4,810). Descriptive and bivariate statistics and the Heckman Probit model were employed. The prevalence of unsafe abortion in India was 31%. Key predictors of unsafe abortion included women's age, the gender composition of their living children, gestation stage, family planning status, and geographical region. Unsafe abortions were typically performed in the early stages of gestation, often involving self-administered medication. The primary reasons cited were unintended pregnancies and health complications. This study underscores the urgent need for targeted interventions that take into account regional, demographic, and social dynamics influencing abortion practices in India.

Re-examining the Nexus Between Maternal Smoking Behavior and Under-Five Children's ARI in India: A Comprehensive Study.

Background: The burden of acute respiratory infections (ARIs) among children under-five is a serious concern in lower and middle-income countries (LMICs), including India, where it is positively associated with indoor smoking exposures. This study re-examines the impact of maternal smoking on ARIs among children under 5 in India, considering other indoor air pollutant factors and covariates. The aim is to establish existing findings and capture any differentials in results using comprehensive analytical approaches. Methods: Data from the National Family Health Survey (NFHS-5), 2019 - 21, was used. Descriptive statistics, bivariate analysis, multivariable logistic regression models, and interaction analysis were applied to accomplish the study objective. Results: The adjusted likelihood of ARI was 1.24 (95% CI: 1.04-1.48) times higher in under-five children with smoking mothers than those with non-smoking mothers. The result was also observed to be almost similar across all seasons. Moreover, the combined effect of maternal smoking with other household members smoking and using unclean cooking fuel without a separate ventilated kitchen escalated the risk (AOR: 2.01; 95% CI: 1.98-2.67). Breastfeeding was found to be a preventive measure for reducing the risk of indoor smoking exposure. The children who were never breastfed and were born large or small were more susceptible to maternal smoking. Conclusion: The study highlights the association between maternal smoking and ARIs in Indian under-five children. Interventions include reducing maternal smoking, promoting breastfeeding, and improving respiratory health in fuel-exposed households.

Unveiling the spatial divide in open defecation practices across India: an application of spatial regression and Fairlie decomposition model.

OBJECTIVE: The study contextualises the spatial heterogeneity and associated drivers of open defecation (OD) in India. DESIGN: The present study involved a secondary cross-sectional survey data from the fifth round of the National Family Health Survey conducted during 2019-2021 in India. We mapped the spatial heterogeneity of OD practices using LISA clustering techniques and assessed the critical drivers of OD using multivariate regression models. Fairlie decomposition model was used to identify the factors responsible for developing OD hot spots and cold spots. SETTING AND PARTICIPANTS: The study was conducted in India and included 636 699 sampled households within 36 states and union territories covering 707 districts of India. PRIMARY AND SECONDARY OUTCOME MEASURES: The outcome measure was the prevalence of OD. RESULTS: The prevalence of OD was almost 20%, with hot spots primarily located in the north-central belts of the country. The rural-urban (26% vs 6%), illiterate-higher educated (32% vs 4%) and poor-rich (52% vs 2%) gaps in OD were very high. The odds of OD were 2.7 and 1.9 times higher in rural areas and households without water supply service on premises compared with their counterparts. The spatial error model identified households with an illiterate head (coefficient=0.50, p=0.001) as the leading spatially linked predictor of OD, followed by the poorest (coefficient=0.31, p=0.001) and the Hindu (coefficient=0.10, p=0.001). The high-high and low-low cluster inequality in OD was 38%, with household wealth quintile (67%) found to be the most significant contributing factor, followed by religion (22.8%) and level of education (6%). CONCLUSION: The practice of OD is concentrated in the north-central belt of India and is particularly among the poor, illiterate and socially backward groups. Policy measures should be taken to improve sanitation practices, particularly in high-focus districts and among vulnerable groups, by adopting multispectral and multisectoral approaches.

Physical-mental health and awareness of HIV/STIs among men who have sex with men in selected cities of India.

BACKGROUND: Men who have Sex with Men being sexual minorities are a vulnerable section of society and are at greater risk of ill-treatment if they are 'out of the closet' regarding their sexuality. Previous evidence suggests that they experienced heightened susceptibility to physical and mental illnesses owing to widespread discrimination and victimization across different walks of life, particularly in developing countries. However, there is a paucity of sound data and scientific understanding related to linkages between physical-mental health and awareness about Human Immunodeficiency Virus/Sexually Transmitted Infections among Men who have Sex with Men in the Indian context. METHODS: Using a mixed-method approach, the present study examined the association between physical-mental well-being and awareness of comprehensive Human Immunodeficiency Virus/Sexually Transmitted Infections/relevant health behaviours based on primary data collected from 300 respondents from six selected metro cities in India. Descriptive statistics, chi-square test and binary logistic regression model have been used for the quantitative data analyses. In-depth interviews were conducted to contextualize and appreciate the substantive meanings and significance coming out from the quantitative results with the lived experiences of the study respondents. RESULTS: Finding suggests that one-fourth of the respondents were experiencing long-term illnesses while close to four out of ten respondents experienced short-term illnesses. About one-third of the respondents experienced disordered eating behaviour and mood swings. Close to one-fifth of the respondents reportedly contemplated suicidal thoughts. Awareness related to Sexually Transmitted Infections and preventive measures related to Human Immunodeficiency Virus risk was considerably low among Men who have Sex with Men. CONCLUSION: Awareness about sexual and reproductive health issues among Men who have Sex with Men needs to be strengthened to curtail the disproportionate risk and vulnerability of Human Immunodeficiency Virus and Sexually Transmitted Infections. The public healthcare system needs to be sensitized and upgraded to cater user-friendly quality healthcare services, without any discrimination against sexual minorities including Men who have Sex with Men. Furthermore, generating public awareness about gender and sexuality-related matters and reducing stigma and discrimination is critical for achieving the health-related sustainable development goals in India without leaving no one behind.

Contextualizing the standard maternal continuum of care in Pakistan: an application of revised recommendation of the World Health Organization.

Objective: This study utilizes recent nationally representative data to contextualize the standard maternal continuum of care (SMCoC) in Pakistan. The revised SMCoC framework encompasses at least eight antenatal care visits, skilled birth attendants during delivery, and postnatal care within 48 h of childbirth. Methods: The study used a sample of 3,887 ever-married women aged 15-49 from the latest Pakistan Demographic and Health Survey (PDHS) conducted in 2017-18. Several statistical methods were employed: descriptive statistics, bivariate, multilevel logistic regression models, and Fairlie decomposition analysis. Results: Only 12% of women had accessed full SMCoC services in Pakistan. Education and the wealth quintile emerged as pivotal factors influencing the utilization of SMCoC. The likelihood of full SMCC utilization was more likely among higher educated women (OR: 3.37; 95% CI: 2.16-5.25) and those belonging to the wealthiest household wealth quintile (OR: 4.95; 95% CI: 2.33-5.51). Media exposure, autonomy, healthcare accessibility, residence, and region were also identified as significant predictors of SMCoC utilization among women. Conclusion: In conclusion, while most women did not utilize full SMCoC services in Pakistan, the pattern is substantially varied by background characteristics. Education, wealth quintile, mass media exposure, and autonomy were significant factors, along with geographical aspects such as healthcare accessibility and region. The study underscores the need for a multifaceted approach to ensure equitable access to full SMCoC services for women in Pakistan, addressing individual, socioeconomic, and geographical factors.

Examining the predictors of healthcare facility choice for outpatient care among older adults in India using Andersen's revised healthcare utilization framework model.

BACKGROUND: In India, the demand for outpatient care is substantially higher than inpatient care among older adults. Therefore, the current study examines the level, patterns, and factors associated with outpatient care use. METHODS: The present research used data from the first wave of the Longitudinal Ageing Study in India (LASI, 2017-18). A total of 34,588 older adults (45 years and above) who accessed outpatient healthcare services in one year prior to the survey were included in this study. A bivariate chi-square test was applied to present the percentage distribution of types of outpatient healthcare utilization by background characteristics and healthcare responsiveness. Multinomial logistic regression analyses were employed to explore the interplay of outpatient healthcare utilization and allied predisposing, enabling, and need factors. RESULTS: About 63.7% of total older adults used a private facility, followed by 22.8% used a public facility, and 13.5% used other facilities. Years of schooling, household wealth status, place of residence, self-rated health, and health insurance were all found to be significant determinants of public or private facility use. In contrast, respondents' sex was found to be a significant determinant of private healthcare use only. The study finds that there was inadequate healthcare reaction to public health facilities. CONCLUSION: The current study revealed that the use of private facility for outpatient care is noticeably high in India. Older adults' educational attainments, health insurance coverage, and household level economic background were found to be significant factors in healthcare choice. The current study emphasizes the need to strengthen public healthcare services for outpatient care.

Rural urban differences in self-rated health among older adults: examining the role of marital status and living arrangements.

BACKGROUND: The rural-urban gap in socioeconomic and morbidity status among older adults is prevalent in India. These disparities may impact the levels and factors of self-rated health (SRH). The objective of the study is to compare the levels and determinants of SRH between rural and urban areas by considering the moderating effects of marital status and living arrangements. SUBJECTS AND METHODS: The present study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-18). A total sample of 30,633 older adults aged 60 years and above were selected for the study. Descriptive statistics, bivariate chi-square test, the interaction effect of living arrangements and marital status, and logistic estimation were applied to accomplish the study objectives. RESULTS: The prevalence of poor SRH was found 7% higher in rural areas compared to urban counterparts. A substantial rural-urban disparity in the patterns of poor SRH was also observed. The interaction effect of marital status and living arrangement on self-rated health suggested that older adults who were currently unmarried and living alone were 38% more likely to report poor SRH than those who were currently married and co-residing in rural India. In addition to marital status and living situation, other factors that significantly influenced SRH include age, socio-cultural background (educational attainment and religion), economic background (employment status), health status (ADLs, IADLs, multi-morbidities), and geographic background (region). CONCLUSION: The present study's findings demonstrated that, notwithstanding local variations, marital status and living circumstances significantly influenced SRH in India. In the present study, unmarried older people living alone were more susceptible to poor SRH in rural areas. The present study supports the importance of reinforcing the concepts of care and support for older individuals. There is a need for special policy attention to older individuals, particularly those unmarried and living alone. Although older individuals had difficulty performing ADLs and IADLs and had multi-morbidities, they reported poorer health. Therefore, offering them social support and top-notch medical assistance is crucial.

Examining the rural-urban divide in predisposing, enabling, and need factors of unsafe abortion in India using Andersen's behavioral model.

BACKGROUND: The prevalence of unsafe abortions significantly varies with geography; therefore, more research is needed to understand the rural-urban differences in unsafe abortion practices in India. The present study aims to explore the rural-urban differences in predisposing, enabling, and need factors of unsafe abortion in India. METHODS: The present study used the fourth round of the National Family Health Survey (2015-16) and included the women aged 15-49 who terminated pregnancies by induced abortion during the 5 years prior to the survey (N = 9113) as the study sample. Descriptive statistics, bivariate chi-square significance test and multivariate logistic regression model were used to accomplish the study objectives. RESULTS: The findings revealed that almost one-third of pregnancies were terminated through unsafe measures with sharp rural-urban contrast. The likelihood of unsafe abortions increases with decreasing women's age and spousal level of education. Younger women in urban settings were more vulnerable to unsafe abortion practices. In rural settings, women with an uneducated spouse are more likely to have unsafe abortions (OR: 1.92). Poor households were more likely to undergo unsafe abortions, which were more common in rural settings (OR: 1.26). The unmet need for family planning was revealed to be a significant need factor for unsafe abortion, particularly in rural settings. CONCLUSION: Although abortion is legal, India's high estimated frequency of unsafe abortions reveals a serious public health issue. Due to socio-economic vulnerability, unmet family planning needs, and a lack of awareness, significant numbers of women still practice unsafe abortions in India.

Levels, patterns and determinants of using reversible contraceptives for limiting family planning in India: evidence from National Family Health Survey, 2015-16.

BACKGROUND: Demand for family planning is predominantly for birth limiting rather than birth spacing in India. Despite several family planning programmes in India, the use of reversible contraception for limiting family planning has been stagnant and largely depends on female sterilization. Though many researchers have examined patterns and determinants of using modern contraception for total family planning, studies on patterns and determinants of contraceptive use for birth limiting are limited in India. This paper examines the patterns of contraceptive use for liming demand and its determinants in India. METHODS: The National Family Health Survey-4, 2015-16 data was used. Bivariate chi-square significant test and multivariate binary logistic regression model used to accomplish the study objectives. RESULTS: Majority of women (86.5%) satisfied limiting demand (SLD) in India; the SLD was found significantly low among the women's age 15-19 years (53.1%) and parity 0 (42%). The satisfied limiting demand by modern reversible contraception (mrSLD) was found significantly high in age group 15-19 years (49.1%), Muslims (30.6%) and North-east region (45.4%). The satisfied limiting demand by traditional contraception (tSLD) was almost three times higher in North-east region (26.1%) than national average of India (8.7%). The women's years of schooling, wealth status, religion and presence of son child found to be significant determinants of mrSLD. The likelihood of tSLD was found significantly high among the women who had no son child (AOR = 1.41; 95% CI:1.34, 1.48), Muslim (AOR = 1.78; 95% CI:1.70, 1.87). A considerable regional variability in levels of SLD, mrSLD and tSLD was found in India. CONCLUSION: Public investment in family planning is required to promote and provide subsidized modern reversible contraception (MRC) services, especially to women from North-east region, Muslim, Scheduled tribe, poor household and who had no son child. Improving the quality and availability of MRC services in public health centre will be helpful to increase SLD among the above mentioned women. Besides, the promotion of MRC will be supportive to overcome the issues of sterilization regrets in India.

Is consanguineous marriage related to spousal violence in India? Evidence from the National Family Health Survey, 2015-16.

Violence against women is a global phenomenon, and intimate partner violence is the most common form of violence faced by women in the world. Around 30% of women in the world, on average, and 33% in India experience intimate partner violence during their lifetime. The main aim of this study was to investigate whether consanguinity protects women from spousal violence. National Family Health Survey 2015-16 (NFHS-4) data were used. The study sample comprised 60,824 currently married women aged 15-49 years. The results of the logistic regression model showed that the likelihood of all types of spousal violence against women was higher among consanguineous unions compared with non-consanguineous unions in India. The association between consanguineous marriage and spousal violence was found to be positive and significant in the southern and eastern regions of India and among Scheduled Castes and Scheduled Tribes. The association was not significant among Muslims. Differences in socio-cultural norms and practices across the regions of India, and among different socio-cultural groups, can perhaps explain these variations. Women belonging in higher age groups, from Other Backward Castes, those who were working and those with a low level of educational attainment and socioeconomic standing had a higher risk of experiencing intimate partner violence. Couples in a consanguineous marriage should be given adequate counselling to reduce intimate partner violence in India, and similarly culturally diverse countries. This would also help reach Target 5.2 of the Sustainable Development Goals by 2030.

Risk of COVID-19 Transmission and Livelihood Challenges of Stranded Migrant Labourers during Lockdown in India.

The lockdown during the first phase of COVID-19 pandemic in India triggered an unprecedented humanitarian crisis. Labourers in the informal sector lost their jobs overnight and were stuck at their work places. The present study examines the risk of COVID-19 transmission among stranded migrant labourers and their livelihood challenges during  the lockdown. A telephonic survey was conducted during the lockdown of first wave of COVID-19 pandemic to collect information from the stranded migrant labourers. The non-probability snowball sampling technique and structured questionnaire were used to draw the sample. Simple frequency distribution and standard statistical methods were used to accomplish the study objectives. The factors of COVID-19 transmission such as poor housing, co-morbidities, poor practice of WASH and COVID-19 precautions were significantly high among the migrant labourers. The lockdown created livelihood crisis among them. For instance, ration shortage (86%), financial distress (82%), reduction of wages (13%), job loss (86%) and anxiety for COVID-19 infection (81%) were often seen. Many of the labourers did not receive any ration kits (30%) and financial assistance (86%) during lockdown. The governmental assistance to overcome the stranded migrant labourers' challenges during lockdown was less than desirable. India needs to frame a sustainable and effective policy for social security for labourers, particularly in emergency situations.

Geographical variability and factors associated with caesarean section delivery in India: a comparative assessment of Bihar and Tamil Nadu.

BACKGROUND: Caesarean section delivery is a major life-saving obstetric surgical intervention for mothers and babies from pregnancy and childbirth related complications. This paper attempts to investigate the geographical variations and correlating factors of caesarean section delivery in India, particularly focusing on the states of Bihar and Tamil Nadu, accounting for one of the lowest and highest prevalence states of caesarean section delivery respectively. METHODS: This study is based on secondary data, collected from the fourth round of the National Family Health Survey (NFHS-4), 2015-16. We utilized 190,898 women aged 15-49 years who had a living child during the past 5 years preceding the survey. In this study, caesarean section delivery was the outcome variable. A variety of demographic, socio-economic, and pregnancy- and delivery-related variables were considered as explanatory variables. Descriptive statistics, bivariate percentage distribution, Pearson's Chi-square test, and multivariate binary logistic regression models were employed to draw the inferences from data. RESULTS: Of participants, about 19% of women had undergone caesarean section delivery in the country. The state-wise distribution shows that Telangana (60%) followed by Andhra Pradesh (42%) and Tamil Nadu (36%) represented the topmost states in caesarean delivery, while Bihar (7%), Madhya Pradesh (10%), and Jharkhand (11%) placed at the bottom end. Multivariate logistic models show that the likelihood of caesarean delivery was higher among older women (35-49 years), women with higher levels of education, Muslims, women belonging to the upper quintiles of the household wealth, and those who received antenatal care (ANC), experienced pregnancy loss and delivery complications. Moreover, the odds of caesarean section delivery were remarkably greater for the private health sector than the public health sector in both focused states: Bihar (odds ratio [OR] = 12.84; 95% confidence interval [CI]: 10.90, 15.13) and Tamil Nadu (OR = 2.90; 95% CI: 2.54, 3.31). CONCLUSION: Findings of this study suggest that improvement in female education, providing economic incentives, and spreading awareness through mass media could raise the caesarean section delivery among women whose vaginal delivery could be unsafe for them as well as for their babies. Moreover, providing adequate ANC and well-equipped public healthcare services would facilitate caesarean delivery among needy women.