Effect of multimorbidity on utilisation and out-of-pocket expenditure in Indonesia: quantile regression analysis.

ABSTRACT:

Background

Multimorbidity (the presence of two or more non-communicable diseases) is a major growing challenge for many low-income and middle-income countries (LMICs). Yet, its effects on health care costs and financial burden for patients have not been adequately studied. This study investigates the effect of multimorbidity across the different percentiles of healthcare utilisation and out-of-pocket expenditure (OOPE).

Methods

We conducted a secondary data analysis of the 2014/2015 Indonesian Family Life Survey (IFLS-5), which included 13,798 respondents aged ≥40 years. Poisson regression was used to assess the association between sociodemographic characteristics and the total number of non-communicable diseases (NCDs), while multivariate logistic regression and quantile re

SUBMITTER: Anindya K 

PROVIDER: S-EPMC8097787 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature