Dataset Information

The evolution of income-related inequalities in healthcare utilisation in Indonesia, 1993-2014.

ABSTRACT:

Objective

While the major policy changes in the Indonesian healthcare system over the last 25 years have been well documented, less is known about the accompanying changes in inequalities in healthcare utilisation during this period. Our study aimed to describe the trends in income-related inequalities in healthcare utilisation in Indonesia during the period 1993-2014.

Methods

A repeated cross-sectional study was conducted using data from the Indonesian Family Life Surveys from 1993, 2000, 2007, and 2014. We measured outpatient and inpatient healthcare utilisation in public and private provider as well as the overall utilisation. Standardised prevalence rate and relative index of inequality (RII) were used to measure the extent of inequalities in healthcare utilisation by income level (income-related inequalities).

Results

Relatively large income-related inequalities were observed in the utilisation of private outpatient care and public and private inpatient care in 1993. Income-related inequalities in public and private outpatient care utilisation decreased between 1993 and 2007 but increased in 2014. Income-related inequalities in public and private inpatient care utilisation continued to decrease between 1993 and 2014. The largest decrease was observed in private inpatient care utilisation.

Conclusion

Income-related inequalities in all types of healthcare utilisation decreased until 2007. This trend continued until 2014 only for public and private inpatient care utilisation. This phenomenon may be explained by the changes to the healthcare system (e.g. expansion of the government health insurance programme and health sector decentralisation), which coincided with the changes in inequalities in healthcare utilisation in Indonesia.

SUBMITTER: Mulyanto J

PROVIDER: S-EPMC6592526 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The evolution of income-related inequalities in healthcare utilisation in Indonesia, 1993-2014.

Mulyanto Joko J Kringos Dionne S DS Kunst Anton E AE

PloS one 20190625 6

<h4>Objective</h4>While the major policy changes in the Indonesian healthcare system over the last 25 years have been well documented, less is known about the accompanying changes in inequalities in healthcare utilisation during this period. Our study aimed to describe the trends in income-related inequalities in healthcare utilisation in Indonesia during the period 1993-2014.<h4>Methods</h4>A repeated cross-sectional study was conducted using data from the Indonesian Family Life Surveys from 19 ...[more]

PMID: 31237901

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Project description:BackgroundGeographical inequalities in access to health care have only recently become a global health issue. Little evidence is available about their determinants. This study investigates the associations of service density and service proximity with health care utilisation in Indonesia and the parts they may play in geographic inequalities in health care use.MethodsUsing data from a nationally representative survey (N = 649 625), we conducted a cross-sectional study and employed multilevel logistic regression to assess whether supply-side factors relating to service density and service proximity affect the variability of outpatient and inpatient care utilisation across 497 Indonesian districts. We used median odds ratios (MORs) to estimate the extent of geographical inequalities. Changes in the MOR values indicated the role played by the supply-side factors in the inequalities.ResultsWide variations in the density and proximity of health care services were observed between districts. Outpatient care utilisation was associated with travel costs (odds ratio (OR) = 0.82, 95% confidence interval (CI) = 0.70-0.97). Inpatient care utilisation was associated with ratios of hospital beds to district population (OR = 1.23, 95% CI = 1.05-1.43) and with travel times (OR = 0.72 95% CI = 0.61-0.86). All in all, service density and proximity provided little explanation for district-level geographic inequalities in either outpatient (MOR = 1.65, 95% CrI = 1.59-1.70 decreasing to 1.61, 95% CrI = 1.56-1.67) or inpatient care utilisation (MOR = 1.63, 95% CrI = 1.55-1.69 decreasing to 1.60 95% CrI = 1.54-1.66).ConclusionsSupply-side factors play important roles in individual health care utilisation but do not explain geographical inequalities. Variations in other factors, such as the price and responsiveness of services, may also contribute to the inequalities. Further efforts to address geographical inequalities in health care should go beyond the physical presence of health care infrastructures to target issues such as regional variations in the prices and responsiveness of services.

Project description:ObjectivesThe number of modern healthcare providers in Bangladesh has increased and they are well equipped with modern medical instruments and infrastructures. Despite this development, patients seeking treatment from alternative healthcare providers are ongoing. Hence, this study aims to determine the underlying predictors of patients' choosing modern healthcare providers and health facilities for getting treatments.SettingData from the nationally representative Household Income and Expenditure Survey 2016-2017 conducted by the Bangladesh Bureau of Statistics were used.Participants34 512 respondents sought treatment for their illnesses from different types of available healthcare providers.Primary and secondary outcome measurePatients' choice of healthcare providers (primary) and predictors of patients' choice of modern healthcare providers (secondary).ResultsThe study found that 40% of the patients visit modern healthcare providers primarily on having symptoms of illness, and the remainder goes to alternative healthcare providers. Patients living in urban areas (adjusted OR (AOR)=1.11, 95% CI 1.05 to 1.17, p<0.01), and if the travel time was between 1 and 2 hours (AOR=1.11, 95% CI 1.00 to 1.22, p<0.05) compared with travel time less than 1 hour, were positively associated to utilisation of modern healthcare facilities for their first consultation. The statistical models show that the predisposing and need factors do not significantly impact patients' choice of modern healthcare providers.ConclusionsThe distribution of modern healthcare providers should be even across the country to eliminate the rural-urban divide in modern healthcare utilisation. Enhancing the digital provision of modern healthcare services could reduce travel time, omit transportation costs and save waiting time for treatment by the modern healthcare providers. Policymakers can think of introducing a national health insurance programme in Bangladesh as a potential policy instrument.

Dataset Information

The evolution of income-related inequalities in healthcare utilisation in Indonesia, 1993-2014.

Objective

Methods

Results

Conclusion

Publications

The evolution of income-related inequalities in healthcare utilisation in Indonesia, 1993-2014.

Similar Datasets

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