Horizontal Inequity in Elderly Health Care Utilization: Evidence from India

Exploring unmet healthcare needs and associated inequalities among middle-aged and older adults in Eastern China during the progression toward universal health coverage

BACKGROUND

Given the rapid population aging in China, achieving universal health coverage (UHC) presents a primary challenge in addressing unmet healthcare needs and associated inequalities among middle-aged and older adults. Several studies have focused on healthcare utilization and its inequalities, but little attention has been paid to the inequality in unmet healthcare needs. This study aimed to analyze the inequalities in unmet the healthcare needs of middle-aged and older adults in eastern China during the progression toward UHC.

METHODS

Data were obtained from the fourth, fifth, and sixth National Health Service Survey (NHSS) of Jiangsu Province, located in eastern China, during the years 2008, 2013, and 2018, respectively. Logistic regression models were used to assess the associated factors of unmet healthcare needs. The inequality was measured according to the concentration index (CI) and its decomposition.

RESULTS

In this study, we found that 12.86%, 2.22%, and 48.89% of middle-aged and older adults reported unmet needs for outpatient and inpatient services and physical examinations, respectively. The prevalence of unmet outpatient needs increased from 2008 to 2018, while the prevalence of unmet inpatient services was lower but maintained. The prevalence of unmet needs for physical examinations among middle-aged and older adults markedly decreased since 2008. Rural areas had a higher prevalence of unmet needs for inpatient services and physical examinations than urban areas. Unmet healthcare needs were more prevalent among the poor. The pro-poor inequalities of unmet healthcare needs have been mitigated during the progression toward UHC; however, they remain predominant among rural middle-aged and older adults for outpatient and inpatient services. Socioeconomic factors significantly influenced unmet healthcare needs and contributed to their inequalities.

CONCLUSIONS

The findings characterize the prevalence and inequality of unmet healthcare need among middle-aged and older adults in eastern China during the progression toward UHC. Policy interventions should be actively advocated to effectively mitigate the unmet healthcare needs and address the associated inequalities.

Older people's health promotion policies challenges: Making an avenue for policy responses in a developing country

BACKGROUND

Older people's health policies suffer from many challenges in Iran. The issue is more highlighted considering the increasing rate of the older population in the country. This study aimed to explore the challenges of older people's health policies in Iran as well as make an avenue for policy responses.

MATERIALS AND METHODS

This study was a qualitative study that was conducted using conventional content analysis in 2020-2021 in Iran. The purposive and snowball sampling methods were used for semi-structured interviews with 30 selected participants. Data were analyzed through the content analysis approach using Granheim and Landman's five-step thematic method.

RESULTS

The results of analyzing the data were categorized into four main themes, 16 sub-themes, and 70 final codes. The main themes were executive, policymaking, intra- and inter-sectoral, and environmental challenges.

CONCLUSIONS

Older people are facing challenges in receiving appropriate and timely care. In order to achieve a wide national policy dialogue for covering all older people's health needs in policy agendas and better formulation and implementation of the policies, it is necessary for Iranian health policymakers to address executive challenges and apply effective strategies.

Inequalities in unmet health care needs under universal health insurance coverage in China

BACKGROUND

Expanding health insurance is a critical step towards universal health coverage due to its positive effect on reducing unmet health care needs and enhancing equitable access to health care. Despite previous studies on the socioeconomic factors associated with unmet health care needs, few studies have analysed the inequalities in such needs and the impact of universal health insurance coverage on addressing them. This study aimed to measure the contribution of social health insurance (SHI) coverage to inequalities in financially and non-financially constrained unmet health care needs among middle-aged and elderly Chinese adults.

METHODS

The study data were obtained from the China Health and Retirement Longitudinal Study (2011-2015). A total of 11,592 respondents reporting outpatient care needs and 6320 reporting inpatient care needs were included. The concentration index (CI) was employed to measure the extent of income-related inequalities in unmet health care needs. A decomposition method based on a probit model was used to investigate the contribution of SHI to the inequalities.

RESULTS

The incidence rates of unmet outpatient needs due to financial and non-financial constraints were 4.68% and 24.78%, respectively; these rates were 18.69% and 15.73% for unmet inpatient needs. The CIs of unmet outpatient needs due to financial and non-financial constraints were - 0.1872 and 0.0195, respectively; these values were - 0.1558 and 0.0352 for unmet inpatient needs. The percentages of the contribution of SHI to the CIs of financially constrained unmet outpatient and inpatient needs were 0.2639% and 1.8898%, respectively. Moreover, the percentages of the contribution of SHI to the CIs of non-financially constrained unmet outpatient and inpatient needs were - 0.4513% and - 6.4192%, respectively.

CONCLUSION

The universal coverage of SHI in China increased pro-poor inequalities in financially constrained unmet health care needs but decreased pro-rich inequalities in non-financially constrained unmet needs. Additionally, the contribution of SHI to inequalities in financially constrained unmet needs for inpatient care was stronger than that for outpatient care. Policy-makers are advised to introduce favourable reimbursement policies for patients with poor socioeconomic conditions and address both financial and non-financial barriers to promote equitable access to health care for the entire population.

Health facility utilization and Healthcare-seeking behaviour of the elderly population in India

Background

The increasing elderly population in India has generated an unmet need for healthcare services concerning them. To address some of those needs, the study aims to provide the current status of health facility utilization, health-seeking behaviour (HSB), and factors influencing them.

Methodology

Data from the Longitudinal Ageing Study in India (LASI)-Wave I was used to conduct multivariate analysis to assess the association between health facility utilization (inpatient and outpatient) and HSB across all age groups of the elderly.

Results

The likelihood of utilizing public health facilities increased with age for OPD and decreased with age for IPD. HSB was 23% less in the 80 years and above elderly as compared to other age groups. Healthcare service uptake was higher in the elderly with health insurance in a public health facility.

Conclusion

Improving health insurance coverage among the Indian elderly may potentially improve healthcare service uptake in public health facilities.

The socioeconomic inequity in healthcare utilization among individuals with cardiovascular diseases in India

We assess the effects of socioeconomic inequity on healthcare utilization among individuals with cardiovascular diseases (CVDs) in India using the indirect standardization method with Erreygers' corrected concentration index. We analyze both horizontal and vertical inequities and linearly decompose the respective inequities to identify the major factors driving both kinds of inequities. Our findings show that actual healthcare utilization is highly concentrated among rich CVD individuals. After controlling for the confounding effects of health needs, horizontal inequity is found to be significantly pro-rich, and income and urban concentration are found to be the major factors driving this inequity. However, the direction and magnitude of vertical inequity vary, depending on the selection of the target group. When we use healthcare utilization of the richest 20 percent as the target, we find no significant vertical inequity among CVD individuals. However, when we take the richest 10 percent as the target, we observe a significant pro-rich differential effect of health needs on healthcare utilization between all individuals and the target group. Decomposition reveals an inappropriate differential effect of health needs and age in driving vertical inequity. Hence, the presence of vertical inequity may trigger further pro-rich socioeconomic inequity in healthcare utilization if not supported by any targeted healthcare coverage.

Decomposing the rural-urban gap in the prevalence of undiagnosed, untreated and under-treated hypertension among older adults in India

Background

Although awareness and treatment rates of hypertension have significantly improved in recent years, the prevalence of undiagnosed and untreated hypertension remains a major public health concern for Indian policymakers. While the urban–rural variation in the prevalence, diagnosis, control, and treatment of hypertension is reasonably well-documented, the explanation behind such variation remains poorly understood given the dearth of studies conducted on exploring the determinants of the rural–urban gap in the prevalence of undiagnosed, untreated, and uncontrolled hypertension in India. In view of this research gap, our paper aims to decompose the inter-group differences between rural and urban areas in undiagnosed, untreated, and undertreated hypertension among older adults in India into the major contributing factors.

Methods

Nationally representative data collected in the Longitudinal Ageing Study of India, Wave-1 (2017–18), was utilized for this study. Maximum-likelihood binary logistic-regression models were employed to capture the crude and adjusted associations between the place of residence and prevalence of undiagnosed, untreated, and undertreated hypertension. Fairlie’s decomposition technique was used to decompose the inter-group differences between rural and urban residents in the prevalence of undiagnosed, untreated, and undertreated hypertension among the older population in India, into the major contributing factors, in order to explore the pathways through which these differences manifest.

Results

The overall prevalence rates of undiagnosed, untreated, and undertreated hypertension among older adults were 42.3%, 6%, and 18.7%, respectively. However, the prevalence of undiagnosed and untreated hypertension was higher in rural areas, by 12.4 and 1.7 percentage-points, respectively, while undertreated hypertension was more prevalent in the urban areas (by 7.2 percentage-points). The decomposition analysis explained roughly 41% and 34% of the urban advantage over rural areas in the case of undiagnosed and untreated hypertension, while it explained 51% of the urban disadvantage in respect of undertreated hypertension. The rural–urban differentials in education and comorbidities accounted for the majority of the explained rural disadvantage in the prevalence of undiagnosed hypertension, explaining 13.51% and 13.27% of the gap, respectively. The regional factor was found to be the major driver behind urban advantage in the prevalence of untreated hypertension, contributing 37.47% to the overall gap. In the case of undertreated hypertension, education, comorbidities, and tobacco consumption were the major contributors to the urban–rural inequality, which accounted for 12.3%, 10.6%, and 9.8% of the gap, respectively.

Conclusion

Socio-economic and lifestyle factors seemed to contribute significantly to the urban–rural gap in undiagnosed, untreated and undertreated hypertension in India among older adults. There is an urgent need of creating awareness programmes for the early identification of hypertensive cases and regular treatment, particularly in under-serviced rural India. Interventions should be made targeting specific population groups to tackle inequality in healthcare utilization.

Health care services: Utilization and perception among elderly in an urban resettlement colony of Delhi

Context:

Health care utilization informs us about the utility of services which are available. We have a paucity of studies related to health care utilization among elderly in India.

Aims:

The aim of this study is to find out utilization of health care services by elderly (≥60 years), pattern, factors associated with, and perception of the elderly population regarding facilitators and barriers for the same.

Settings and Design:

A community based cross-sectional, observational study was conducted in a resettlement colony of East Delhi.

Materials and Methods:

A pretested, semi-structured, and interviewer-administered questionnaire was used. Duration of data collection was November 2018 to January 2020.

Statistical Analysis Used:

For quantitative variables, mean, median, proportion, Chi-square test, binary logistic regression using Statistical Package for the Social Sciences (SPSS), and for qualitative variables thematic analysis were done.

Results:

The study included 288 study participants. Although utilization of health care services in last 15 days among elderly is 90%, it was also found that 69% of the elderly consulted a licensed medical practitioner. A private facility was visited by 58% of the study participants. Female gender (OR: 1.97; P = 0.02), religion as Hindu (OR, 2.09; P = 0.04), and marital status “single” (OR, 1.8; P = 0.04) were observed to be significant predictors of health care utilization. The participants expressed less waiting time, cashless facility for visits, availability of an accompanying person, behavior of staffs work as facilitators for utilization of services.

Conclusions:

Considering the unique characteristics of this age group, a shift from facility to community-based approach may be considered. Efforts may be made to create elderly friendly health facilities.

Inequity and benefit incidence analysis in healthcare use among Syrian refugees in Egypt

BACKGROUND

The Syrian conflict has created the worst humanitarian refugee crisis of our time, with the largest number of people displaced. Many have sought refuge in Egypt, where they are provided with the same access to healthcare services as Egyptian citizens. Nevertheless, in addition to the existing shortcomings of the Egyptian health system, many obstacles specifically limit refugees' access to healthcare. This study looks to assess equity across levels of care after observing services utilization among the Syrian refugees, and look at the humanitarian dilemma when facing resource allocation and the protection of the most vulnerable.

METHODS

A cross-sectional survey was used and collected information related to access and utilization of outpatient and inpatient health services by Syrian refugees living in Egypt. We used concentration index (CI), horizontal inequity (HI) and benefit incidence analysis (BIA) to measure the inequity in the use of healthcare services and distribution of funding. We decomposed inequalities in utilization, using a linear approximation of a probit model to measure the contribution of need, non-need and consumption influential factors.

RESULTS

We found pro-rich inequality and horizontal inequity in the probability of refugees' outpatient and inpatient health services utilization. Overall, poorer population groups have greater healthcare needs, while richer groups use the services more extensively. Decomposition analysis showed that the main contributor to inequality is socioeconomic status, with other elements such as large families, the presence of chronic disease and duration of asylum in Egypt further contributing to inequality. Benefit incidence analysis showed that the net benefit distribution of subsidies of UNHCR for outpatient and inpatient care is also pro-rich, after accounting for out-of-pocket expenditures.

CONCLUSION

Our results show that without equitable subsidies, poor refugees cannot afford healthcare services. To tackle health inequities, UNHCR and organisations will need to adapt programmes to address the social determinants of health, through interventions within many sectors. Our findings contribute to assessments of different levels of accessibility to healthcare services and uncover related sources of inequities that require further attention and advocacy by policymakers.

Determinants of rural-urban differential in healthcare utilization among the elderly population in India

BACKGROUND

Population aging poses a demographic burden on a country such as India with inadequate social security systems and very low public investment in health sector. This challenge of accelerated demographic transition is coupled by the rural-urban disparity in access to healthcare services among the elderly people in India. An important objective of India's National Health Policy (2017) is to "progressively achieve universal health coverage" which is posited upon mitigating the sub-national disparity that necessitates identifying the drivers of the disparity for targeted policy intervention. This study, therefore, makes an attempt towards the exploration of the prominent contributory factors behind the rural-urban gap in utilisation of healthcare among the older population in India.

METHODS

The analysis has been done by using the unit level data of Social Consumption: Health (Schedule number 25.0) of the 75th round of the National sample Survey conducted during July 2017-June 2018. Two binary logistic models have been proposed to capture the crude and the adjusted association between health seeking behaviour and place of residence (rural/ urban). To compute the group differences (between rural and urban) in the rate of healthcare utilization among the elderly population in India and to decompose these differences into the major contributing factors, Fairlie's decomposition method has been employed.

RESULTS

The logistic regression models established a strong association between place of residence and likelihood of healthcare utilisation among the Indian elderly people. The results of the Fairlie's decomposition analysis revealed considerable rural-urban inequality disfavouring the rural residents and health care utilisation was found to be 7 percentage points higher among the older population residing in urban India than their rural counterparts. Level of education and economic status, both of which are indicators of a person's Socio-Economic Status, were the two major determinants of the existing rural-urban differential in healthcare utilisation, together explaining 41% of the existing rural-urban differential.

CONCLUSION

Public health care provisions need to be strengthened both in terms of quality and outreach by way of greater public investments in the health sector and by building advanced health infrastructure in the rural areas. Implementation of poverty alleviation programmes and ensuring social-security of the elderly are also indispensable in bringing about equity in healthcare utilisation.

Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data

BACKGROUND

Health outcomes in India are characterized by pervasive inequities due to deeply entrenched socio-economic gradients amongst the population. Therefore, it is imperative to investigate these systematic disparities in health, however, evidence of inequities does not commensurate with its policy objectives in India. Thus, our paper aims to examine the magnitude of and trends in horizontal inequities in self-reported morbidity and untreated morbidity in India over the period of 2004 to 2017-18.

METHODS

The study used cross-sectional data from nationwide healthcare surveys conducted in 2004, 2014 and 2017-18 encompassing sample size of 3,85,055; 3,35,499 and 5,57,887 individuals respectively. Erreygers concentration indices were employed to discern the magnitude and trend in horizontal inequities in self-reported morbidity and untreated morbidity. Need standardized concentration indices were further used to unravel the inter-regional and intra-regional income related inequities in outcomes of interest. Additionally, regression based decomposition approach was applied to ascertain the contributions of both legitimate and illegitimate factors in the measured inequalities.

RESULTS

Estimates were indicative of profound inequities in self-reported morbidity as inequity indices were positive and significant for all study years, connoting better-off reporting more morbidity, given their needs. These inequities however, declined marginally from 2004(HI: 0.049, p< 0.01) to 2017-18(HI: 0.045, P< 0.01). Untreated morbidity exhibited pro-poor inequities with negative concentration indices. Albeit, significant reduction in horizontal inequity was found from 2004(HI= - 0.103, p< 0.01) to 2017-18(HI = - 0.048, p< 0.01) in treatment seeking over the years. The largest contribution of inequality for both outcomes stemmed from illegitimate variables in all the study years. Our findings also elucidated inter-state heterogeneities in inequities with high-income states like Andhra Pradesh, Kerala and West Bengal evincing inequities greater than all India estimates and Northeastern states divulged equity in reporting morbidity. Inequities in untreated morbidity converged for most states except in Punjab, Chhattisgarh and Himachal Pradesh where widening of inequities were observed from 2004 to 2017-18.

CONCLUSIONS

Pro-rich and pro-poor inequities in reported and untreated morbidities respectively persisted from 2004 to 2017-18 despite reforms in Indian healthcare. Magnitude of these inequities declined marginally over the years. Health policy in India should strive for targeted interventions closing inequity gap.

Inequities in curative health-care utilization among the adult population (20-59 years) in India: A comparative analysis of NSS 71st (2014) and 75th (2017-18) rounds

OBJECTIVE

The study attempts (a) to compute the degree of socio-economic inequity in health care utilization and (b) to decompose and analyze the drivers of socio-economic inequity in health care utilization among adults (20-59 years) in India during the periods 2014 and 2017-18.

DATA SOURCE

The analysis has been done by using the unit level data of Social Consumption: Health (Schedule number 25.0), of National sample Survey (NSS), corresponding to the 71st and 75th rounds.

METHODS

Odds ratios were computed through logistic regression analysis to examine the effect of the socio-economic status on the health seeking behaviour of the ailing adult population in India. Concentration Indices (CIs) were calculated to quantify the magnitude of socio-economic inequity in health care utilization. Further, the CIs were decomposed to find out the share of the major contributory factors in the overall inequity.

RESULTS

The regression results revealed that socio-economic status continues to show a strong association with treatment seeking behavior among the adults in India. The positive estimates of CIs across both the rounds of NSS suggested that health care utilization among the adults continues to be concentrated within the higher socio-economic status, although the magnitude of inequity in health care utilization has shrunk from 0.0336 in 2014 to 0.0230 in 2017-18. However, the relative contribution of poor economic status to the overall explained inequities in health care utilisation observed a rise in its share from 31% in 2014 to 45% in 2017-18.

CONCLUSION

To reduce inequities in health care utilization, policies should address issues related to both supply and demand sides. Revamping the public health infrastructure is the foremost necessary condition from the supply side to ensure equitable health care access to the poor. Therefore, it is warranted that India ramps up investments and raises the budgetary allocation in the health care infrastructure and human resources, much beyond the current spending of 1.28% of its GDP as public expenditure on health. Further, to reduce the existing socio-economic inequities from the demand side, there is an urgent need to strengthen the redistributive mechanisms by tightening the various social security networks through efficient targeting and broadening the outreach capacity to the vulnerable and marginalized sections of the population.

Comparison of Fall Risk Assessment Tools for Older Indonesian Adults in the Elderly Home and the Community

Introduction: One of the causes of disability among elderly is falling. The ability to predict the risk of falls among this group is important so that the appropriate treatment can be provided to reduce the risk. The objective of this study was to compare the Stopping Elderly Accidents, Deaths, & Injuries (STEADI) Initiative from the Centers for Disease Control and Prevention (CDC) and The Johns Hopkins Fall Risk Assessment Tool (JHFRAT) from the Johns Hopkins University. Methods: This study used the STEADI tool, JHFRAT, Activities-Specific Balance Confidence Scale (ABC), and The Geriatric Depression Scale (GDS). The study areas were in community and elderly home in both public and private sectors and the samples were 427 after cleaning. Results: The results for the STEADI and JHFRAT tools were similar where the respondents at highest risk of falling among women (STEADI: 49%; JHFRAT: 3.4%), in Bandung area (63.5%; 5.4%), in private homes (63.3%; 4.4%), non-schools (54.6%; 6.2%), aged 80 or older (64.8%; 6.7%) and not working (48.9%;3.3%). The regression analysis indicated that there was a significant relationship between the risk factors for falls in the elderly determined by the JHFRAT and STEADI tools: namely, region, type of home, age, disease history, total GDS and ABC averages. Conclusion: Despite the similarity in the risk factors obtained through these assessments, there was a significant difference between the results for the STEADI tool and the JHFRAT. The test strength was 43%. However, STEADI is more sensitive to detect fall risk smong elderly than JHFRATKeywords: Activities-Specific Balance Confidence scale, elderly, fall risk,The Johns Hopkins Fall Risk Assessment Tool, the Stopping Elderly Accidents, Deaths, & Injuries

Equity in distribution of public subsidy for noncommunicable diseases among the elderly in India: an application of benefit incidence analysis

Background

Rapid ageing of the population and increasing non-communicable diseases (NCDs) among the elderly is one of the major public health challenges in India. To achieve the Universal Health Coverage, ever-growing elderly population should have access to needed healthcare, and they should not face any affordability related challenge. As most of the elderly suffers from NCDs and achieving health-equity is a priority, this paper aims to - study the utilization pattern of healthcare services for treatment of NCDs among the elderly; estimate the burden of out-of-pocket expenditure for the treatment of NCDs among the elderly and analyze the extent of equity in distribution of public subsidy for the NCDs among the elderly.

Methods

National Sample Survey data (71st round) has been used for the study. Exploratory data analysis and benefit incidence analysis have been applied to estimate the utilization, out-of-pocket expenditure and distribution of public subsidy among economic classes. Concentration curves and indices are also estimated.

Results

Results show that public-sector hospitalization for NCDs among the elderly has a pro-rich trend in rural India. However, in urban sector, for both inpatient and outpatient care the poorest class has substantial share in utilization of public facilities. Same result is also observed for rural outpatient care. Analysis shows that out-of-pocket expenditure is very high for both medicine and medical care even in public facilities for all economic groups. It is also observed that medicine has the highest share in total medical expenses during treatment of NCDs among the elderly in both the region. Benefit incidence analysis shows that the public subsidy has a pro-rich distribution for inpatient care treatment in both the sectors. In case of outpatient care, subsidy share is the maximum among the richest in the urban sector and in the rural region the poorest class gets the maximum subsidy benefit.

Conclusions

It is evident that a substantial share of the public subsidies is still going to the richer sections for the treatment of NCDs among the elderly. Evidences also suggest that procuring medicines and targeted policies for the elderly are needed to improve utilization and equity in the public healthcare system.

Profile of and expenditure on morbidity and hospitalizations among elderly-Analysis of a nationally representative sample survey in India

INTRODUCTION

Understanding morbidity pattern and associated expenditure is essential for implementation of appropriate healthcare and social security measures for the elderly. This study aims to assess the proportion of ailing persons (PAP) in the last 15days, the utilization of hospitalization services in the last 365days and the expenditure incurred for hospitalizations among the elderly in India.

METHODS

This study analysed data from a nationally representative survey by the National Sample Survey Office (NSSO) in 2014-15 on 36,480 rural and 29,452 urban households. Distribution of morbidity and in-patient health care utilisation were analysed by subgroups of sex, residence, wealth quintile and type of health care provider. All estimates were weighted to account for the complex sampling design.

RESULTS & DISCUSSION

Among 27,245 elderly persons, 30.3% reported having suffered an ailment in the past 15days and 8% reported at least one hospitalisation episode in the last 365days. All quintiles, except the lowest, utilized private sector more than the public sector for hospitalisations. The distribution of PAP (Concentration Index (CI)=+0.11; +0.07,+0.15) and the utilization of hospitalisation services (CI=+0.18; +0.11,+0.25) were found to be significantly pro-rich. The median (IQR) expenditure on hospitalization was INR 7370 (2600, 18,060). The wealthiest quintile spent 3.1 times more than the poorest quintile on hospitalisation.

CONCLUSION

Efforts to reduce inequity among elderly persons in health status and healthcare utilization should be integral to any strategy targeting achievement of third sustainable development goal- "ensuring healthy lives and promoting well-being for all at all ages".

Horizontal Inequity in Health Care Utilization among the Middle-Aged and Elderly in China

Background: Equitable utilization of health care is a primary goal of the Chinese health system. This study aimed to examine horizontal inequity in health care utilization and identify the factors resulting in inequity among the middle-aged and elderly in China. Methods: The data were obtained from the China Health and Retirement Longitudinal Study (CHARLS). We employed the concentration index (CI) and horizontal inequity (HI) to measure inequity in health care utilization. Non-linear regression models were used to decompose the CI into the contribution of each factor. Results: The CIs for the probability of and total number of outpatient visits were 0.0642 and 0.0780, respectively, and those for inpatient visits were 0.1418 and 0.1471, respectively. The HIs were also significantly positive. Living standard was the most important contributor. The contribution of health insurance varied between plans. Conclusions: This study supported the presence of pro-rich inequity in health care utilization for both probability and frequency among the middle-aged and elderly in China. Narrowing the living standard gap and improving the health insurance benefit package for the elderly should help to resolve these inequities.

Pattern, correlates and implications of non-communicable disease multimorbidity among older adults in selected Indian states: a cross-sectional study

OBJECTIVES

The objective of the present study was to estimate the proportion of older adults with non-communicable disease (NCD) multimorbidity, its correlates and implications in selected Indian states.

METHODS

The study used data of 9852 older adults (≥60 years) (men 47%, mean age 68 years) collected by the United Nations Population Fund from seven selected Indian states. Multiple logistic regression analysis was used to assess the correlates of NCD multimorbidity and hospitalisation.

RESULTS

NCD multimorbidity was reported by 30.7% (95% CI 29.8 to 31.7). Those in the highest wealth group, aged ≥70 years, alcohol users, women and tobacco users were more likely to report NCD multimorbidity compared to those without any NCD and single NCD. Those with multimorbidity, the wealthiest, ever tobacco users and those who had formal education were more likely to be hospitalised compared to their counterparts after adjusting for age, sex and ever use of alcohol.

CONCLUSIONS

Multimorbidity needs to be considered for planning NCD healthcare services provision particularly inpatient facilities focusing on alcohol users, tobacco users and women. Further studies are required to find out reasons for higher rates of multimorbidity among the wealthier group other than higher healthcare services usage and detection rates.