Factors affecting the choice of health care utilisation between private and public services among the elderly population in India

Utilisation of public healthcare services by an indigenous group: a mixed-method study among Santals of West Bengal, India

A barrier to meeting the goal of universal health coverage in India is the inequality in utilisation of health services between indigenous and non-indigenous people. This study aimed to explore the determinants of utilisation, or non-utilisation, of public healthcare services among the Santals, an indigenous community living in West Bengal, India. The study holistically explored the utilisation of public healthcare facilities using a framework that conceptualised service coverage to be dependent on a set of determinants - viz. the nature and severity of the ailment, availability, accessibility (geographical and financial), and acceptability of the healthcare options and decision-making around these further depends on background characteristics of the individual or their family/household. This cross-sectional study adopts ethnographic approach for detailed insight into the issue and interviewed 422 adult members of Santals living in both rural (Bankura) and urban (Howrah) areas of West Bengal for demographic, socio-economic characteristics and healthcare utilisation behaviour using pre-tested data collection schedule. The findings revealed that utilisation of the public healthcare facilities was low, especially in urban areas. Residence in urban areas, being female, having higher education, engaging in salaried occupation and having availability of private allopathic and homoeopathic doctors in the locality had higher odds of not utilising public healthcare services. Issues like misbehaviour from the health personnel, unavailability of medicine, poor quality of care, and high patient load were reported as the major reasons for non-utilisation of public health services. The finding highlights the importance of improving the availability and quality of care of healthcare services for marginalised populations because these communities live in geographically isolated places and have low affordability of private healthcare. The health programme needs to address these issues to improve the utilisation and reduce the inequality in healthcare utilisation, which would be beneficial for all segments of Indian population.

Pathways to care for people with dementia in India: An exploratory study using case vignettes

BACKGROUND

Limited evidence exists on how people living with dementia and their family/unpaid carers navigate care and support in India.

AIM

This study used case vignettes to illustrate likely pathways to care for dementia, from receiving a diagnosis to long-term support, in India and to highlight gaps and challenges associated with current care provision for persons living with dementia.

METHODS

As part of the Strengthening Responses to Dementia in Developing Countries (STRiDE) project, and to contribute to an analysis of dementia care policies and systems in India, case vignettes were used to illustrate the diverse situations that people with dementia and their families may experience when seeking care in the Indian context. Eight hypothetical, but realistic cases of people with dementia were created by a multi-disciplinary team with experience in dementia care in India, to map out the likely care journeys of each case.

RESULTS

Investigating eight diverse care trajectories of people living with dementia highlighted important patterns relevant to the Indian context. We identified delays in dementia diagnosis to be attributed to low awareness of dementia among the general public and medical professionals in addition to a critical shortage of specialist services involved in facilitating dementia diagnosis. Post-diagnosis, support was recognized as limited and associated with considerable out-of-pocket (OOP) costs. Families primarily provide long-term care for people with dementia till end of life.

CONCLUSIONS AND RECOMMENDATIONS

Several steps need to be taken in order to improve dementia care in India. Increasing dementia awareness among both medical professionals and general public is essential. Shortages in dementia specialists can be addressed in part through appropriate task shifting. Lastly, more research is needed to develop evidence-based community interventions to support informal care provision for persons with dementia in India.

Gender differentials in the choice of in-patient healthcare services among the older adults in India: A cross-sectional study

India is presently undergoing a rapid demographic transition and experiencing a gradual increase in an ageing population. As a result, the households were continuously exposed to catastrophic economic impacts, ultimately influencing the healthcare utilisation of older people. The study examined the gender differentials in the choice of in-patient private and public hospitalisation among Indian elderly using Andersen's Health Behaviour Model. The database was acquired from the nationally representative cross-sectional survey (NSSO, 2017-18). Bivariate chi-square and binomial logistic regression techniques were used to fulfill the objective. In addition, the poor-rich ratio and concentration index was used to understand the inherent socioeconomic inequalities in healthcare preferences. The findings suggest that aged men were 27 percent more prone to avail private healthcare facilities than aged women. Further, older adults, who are married, belong to the upper caste, have higher education and gone through surgery, and primarily reside in an affluent society were more likely to prefer private in-patient hospitalisation. It represents negligence of older women in access to better healthcare who had financial strain and economically dependent. The study can be used to reframe existing public health policies and programs, particularly focusing on the older women, to avail cost-effective treatment.

Differentials in private and public healthcare service utilization in later life: do gender and marital status have any association?

The present study investigates whether the differentials in private and public inpatient healthcare utilization are associated with marital status for men and women aged 60 years and above in India. Binary logistic regression was applied to examine the association of private and public inpatient healthcare utilization with the marital status of the elderly. The study found that widowed men and women generally used public healthcare for hospitalization, while married men and women preferred private healthcare. Our findings also indicated that private inpatient health services expenditure was higher for married elderly than widowed elderly. After controlling all covariates, widowhood was significantly associated with higher use of public healthcare services for women but not for men. India's current health care policy and program may be required to focus on improving the infrastructure quality of current public healthcare systems. It also needs to be favorable for vulnerable sections of society, especially widowed women, to avail better treatment at an affordable cost.

Determinants of choice of usual source of care among older people with cardiovascular diseases in China: evidence from the Study on Global Ageing and Adult Health

BACKGROUND

Cardiovascular diseases (CVD) are emerging as the leading contributor to death globally. The usual source of care (USC) has been proven to generate significant benefits for the elderly with CVD. Understanding the choice of USC would generate important knowledge to guide the ongoing primary care-based integrated health system building in China. This study aimed to analyze the individual-level determinants of USC choices among the Chinese elderly with CVD and to generate two exemplary patient profiles: one who is most likely to choose a public hospital as the USC, the other one who is most likely to choose a public primary care facility as the USC.

METHODS

This study was a secondary analysis using data from the World Health Organization's Study on Global AGEing and Adult Health (SAGE) Wave 1 in China. 3,309 individuals aged 50 years old and over living with CVD were included in our final analysis. Multivariable logistic regression was built to analyze the determinants of USC choice. Nomogram was used to predict the probability of patients' choice of USC.

RESULTS

Most of the elderly suffering from CVD had a preference for public hospitals as their USC compared with primary care facilities. The elderly with CVD aged 50 years old, being illiterate, residing in rural areas, within the poorest income quintile, having functional deficiencies in instrumental activities of daily living and suffering one chronic condition were found to be more likely to choose primary care facilities as their USC with the probability of 0.85. Among those choosing primary care facilities as their USC, older CVD patients with the following characteristics had the highest probability of choosing public primary care facilities as their USC, with the probability of 0.77: aged 95 years old, being married, residing in urban areas, being in the richest income quintile, being insured, having a high school or above level of education, and being able to manage activities living.

CONCLUSIONS

Whilst public primary care facilities are the optimal USC for the elderly with CVD in China, most of them preferred to receive health care in public hospitals. This study suggests that the choice of USC for the elderly living with CVD was determined by different individual characteristics. It provides evidence regarding the choice of USC among older Chinese patients living with CVD.

Understanding the health care utilization behavior to achieve the sustainable development goals—a comparative study of Malda District, India

The Sustainable Development Goals were finalized in September 2015 by following and expanding Millennium Development Goals with newer targets under the principle of ‘leaving no one behind’. One of the 17 goals is devoted to health (Goal number 3). Understanding the health care utilization behavior is essential to attain the health goal by providing adequate and quality health services. The study seeks to understand the health care utilization behavior and its determinants in Malda district, India. For this study, the primary data are collected through a household survey with a pre-designed schedule. For that, for a comparative discussion, Englishbazar and Chanchal- II blocks have been chosen by purposive sampling considering the best and worst health conditions, respectively. The sample size was 100 families for each block. Analytical methods like chi-square, correlation, and regression analysis are used for the study. The four categories of treatment patterns that have been recognized in the study area; are self-treatment, government institution, qualified doctors and private institution, and the presence of quack doctors. People’s education and income were the confounding factors of such treatment patterns. Many of the respondents are getting treatment from quack doctors or rely on self-treatment based on their very little knowledge of medicine, resulting from a lack of awareness among local communities. It may be concluded that besides socio-economic factors, the availability of insufficient health care facilities influences the health care utilization behavior in the study area.

Role of publicly funded health insurance in financial protection of the elderly from hospitalisation expenditure in India-findings from the longitudinal aging study

BACKGROUND

The elderly face a greater burden of illnesses than other age groups and have a more frequent need of healthcare, including in-patient hospitalisations. Catastrophic expenditure on hospitalisation of the elderly poses a significant challenge to India's aim of achieving Universal Health Coverage (UHC). India has implemented a policy of Publicly Funded Health Insurance (PFHI) to provide free inpatient care by empanelling private and public hospitals. The existing studies have examined the performance of PFHI in financial protection of the elderly.

METHODS

This study utilised the Longitudinal Ageing Study in India (LASI) Wave 1, conducted in 2017-18. LASI is a large-scale nationally representative survey collecting data on elderly health including illness burden, healthcare use and out of pocket expenditure (OOPE). It covered a sample 72,250 individuals aged 45 or above. Financial Protection was measured in terms of Catastrophic Health Expenditure (CHE). Multivariate analysis was conducted to find effect of PFHI on OOPE-quantile and logistic models were applied for OOPE and CHE respectively. For robustness, Propensity Score Matching (PSM) model was applied.

RESULTS

Of the hospitalisations, 35% had taken place in public hospitals. The mean OOPE for a hospitalisation in public sector was Indian Rupees (INR) 8276, whereas it was INR 49,700 in private facilities. Incidence of CHE was several times greater for using private hospitals as compared to public hospitals. Multi-variate analyses showed that enrolment under PFHI was not associated with lower OOPE or CHE. PSM model also confirmed that PFHI-enrolment had no effect on OOPE or CHE. Use of private facilities was a key determinant of OOPE, irrespective of enrolment under PFHI.

CONCLUSIONS

This was the first study in India to examine the performance of PFHI in the context of catastrophic hospitalisation expenditure faced by the elderly. It found that PFHI was not effective in financial protection of the elderly. The ongoing reliance on a poorly regulated private sector seems to be a key limitation of PFHI policy. Governments need to find more effective ways of protecting the elderly from catastrophic health expenditure if the goal of UHC has to be realized.

Predictors of Healthcare Utilization Among Older Adults with Moderate to Severe Cognitive Limitations in Ghana: A Cross-Sectional Analysis of the WHO Study on Global Ageing and Adult Health (SAGE) Wave 1

BACKGROUND

As the number of older adults in Ghana keeps increasing, so does the prevalence of aging-related diseases and conditions that tend to lead to cognitive decline. However, knowledge on the predicting factors of healthcare utilization among older adults with cognitive limitations is still scarce.

OBJECTIVE

This study examines the predictive factors of healthcare-seeking behavior among older adults with moderate-to-severe cognitive limitations in Ghana.

METHODS

Based on Andersen's behavioral model of health service utilization, the study analyzed data from 3106 older adults with moderate to severe cognitive limitations in Ghana aged 50+ using Bivariate Probit Regression and the Heckman Selection Model.

RESULTS

Results showed that individuals who were aged 75+, living in urban settlements, educated, higher income levels and parents who had some level of education, pension benefits, and both mandatory and voluntary health insurance were more likely to seek inpatient care. Enabling resources such as the national health insurance scheme and other types of medical insurance, household income, pension benefits, and predisposition factors like education influenced outpatient and inpatient healthcare consumption for older adults with moderate to severe cognitive limitations but had little influence on the choice of healthcare facility except for health insurance.

CONCLUSION

Since the healthcare-seeking behavior of older adults with moderate-to-severe cognitive limitations is driven by an amalgamation of several internal and external factors, there is a need for policy change to understand and cautiously incorporate these factors into the decision to improve equitable access to healthcare services for these individuals, as not all sizes fit all in providing quality care for them.

Risk factors and clustering of mortality among older adults in the India Human Development Survey

With wide socioeconomic mortality differential among older adults in India, a constant question of death clustering across high-risk families and communities arises. The present study uses a follow-up survey from India to investigate the socioeconomic, demographic and health predictors of old-age mortality clustering. Data of 16,964 older adults nested within 12,981 households from 2352 communities were used from India Human Development Survey (IHDS) round-I (2005) who were further tracked down in round-II (2012). Bivariate association between the determinants of old-age mortality was investigated using the log-rank test. The multivariate analysis involved estimating the random-intercept Weibull proportional hazard model with three levels-individual (level 1), family (level 2) and community (level 3). We analyzed the sensitivity of multivariate results to unobservable variable and selection biases using the e-value method. The empirical analysis confirms that the risk of mortality is significantly heterogeneous between the families. The health status of older adults and the family's socioeconomic status in the early years emerged as prominent predictors of a longer lifespan. With a strong association between household income and mortality hazard risk, the present study urges early life interventions as those started in late-life might have negligible impact on keeping the older adults alive and healthy.

Magnitude and determinants of inpatient health expenditure among the elderly in India

As India is experiencing both the epidemiological and demographic transition, the grey population is expected to incur huge expenditure on health care, especially hospitalization expenditure, in the coming decades. The present study, thus, examines the magnitude of different types of inpatient health expenditure (medical, non-medical, total and out-of-pocket expenditure) and factors affecting them among the Indian elderly, using a health expenditure model empirically tested by the World Health Organization. Data were drawn from the 75th Round of the Health Survey conducted by the National Sample Survey Office, Government of India. In addition to basic descriptive statistics, the study employs a two-stage least square and a generalized linear model with log-link and gamma distribution to conduct the econometric analysis. The study finds that higher income, education, and household size, diseases like cancer, treatment involving surgery, poor physical mobility, and the elderly opting for packages involve higher inpatient health spending, while both private and social health insurance tends to reduce the same. So, a thrust on insurance-financed health systems may reduce health spending among the elderly. In this context, the study suggests that a disease-specific policy is required for the elderly along with ensuring state-of-the-art treatment facilities for them in public hospitals for critical ailments.

Healthcare-Seeking Behavior among Chinese Older Adults: Patterns and Predictive Factors

This study aimed to investigate the patterns and predictive factors of healthcare-seeking behavior among older Chinese adults. A sample of 10,914 participants aged ≥60 years from the 2011, 2013 and 2015 China Health and Retirement Longitudinal Study (CHARLS) was included. The bivariate analyses and Heckman selection model was used to identify predictors of healthcare-seeking behavior. Results shows that the utilization rate of outpatient services increased from 21.61% in 2011 to 32.41% in 2015, and that of inpatient services increased from 12.44% to 17.68%. In 2015, 71.93% and 92.18% chose public medical institutions for outpatient and inpatient services, 57.63% and 17.00% chose primary medical institutions. The individuals who were female, were younger, lived in urban, central or western regions, had medical insurance, had poor self-rated health and exhibited activity of daily living (ADL) impairment were more inclined to outpatient and inpatient services. Transportation, medical expenses, the out-of-pocket ratio and the urgency of the disease were associated with provider selection. The universal medical insurance schemes improved health service utilization for the elderly population but had little impact on the choice of medical institutions. The older adults preferred public institutions to private institutions, preferred primary institutions for outpatient care, and higher-level hospitals for hospitalization.

The Relationship Between Demographic, Socioeconomic, and Health-Related Parameters and the Impact of COVID-19 on 24 Regions in India: Exploratory Cross-Sectional Study

BACKGROUND

The impact of the COVID-19 pandemic has varied widely across nations and even in different regions of the same nation. Some of this variability may be due to the interplay of pre-existing demographic, socioeconomic, and health-related factors in a given population.

OBJECTIVE

The aim of this study was to examine the statistical associations between the statewise prevalence, mortality rate, and case fatality rate of COVID-19 in 24 regions in India (23 states and Delhi), as well as key demographic, socioeconomic, and health-related indices.

METHODS

Data on disease prevalence, crude mortality, and case fatality were obtained from statistics provided by the Government of India for 24 regions, as of June 30, 2020. The relationship between these parameters and the demographic, socioeconomic, and health-related indices of the regions under study was examined using both bivariate and multivariate analyses.

RESULTS

COVID-19 prevalence was negatively associated with male-to-female sex ratio (defined as the number of females per 1000 male population) and positively associated with the presence of an international airport in a particular state. The crude mortality rate for COVID-19 was negatively associated with sex ratio and the statewise burden of diarrheal disease, and positively associated with the statewise burden of ischemic heart disease. Multivariate analyses demonstrated that the COVID-19 crude mortality rate was significantly and negatively associated with sex ratio.

CONCLUSIONS

These results suggest that the transmission and impact of COVID-19 in a given population may be influenced by a number of variables, with demographic factors showing the most consistent association.