Abstract

Out of pocket health payment (OOPs) has been identified by the System of Health Accounts (SHA) as the largest source of health care financing in most low and middle-income countries. This means that most low and middle-income countries will rely on user fees and co-payments to generate revenue, rationalize the use of services, contain health systems costs or improve health system efficiency and service quality. However, the accurate measurement of OOPs has been challenged by several limitations which are attributed to both sampling and non-sampling errors when OOPs are estimated from household surveys, the primary source of information in LICs and LMICs. The incorrect measurement of OOP health payments can undermine the credibility of current health spending estimates, an otherwise important indicator for tracking UHC, hence there is the need to address these limitations and improve the measurement of OOPs. In an attempt to improve the measurement of OOPs in surveys, the INDEPTH-Network Household out-of-pocket expenditure project (iHOPE) developed new modules on household health utilization and expenditure by repurposing the existing Ghana Living Standards Survey instrument and validating these new tools with a 'gold standard' (provider data) with the aim of proposing alternative approaches capable of producing reliable data for estimating OOPs in the context of National Health Accounts and for the purpose of monitoring financial protection in health. This paper reports on the challenges and opportunities in using and linking household reported out-of-pocket health expenditures to their corresponding provider records for the purpose of validating household reported out-of-pocket health expenditure in the iHOPE project.

Highlights

  • Out of pocket health payment has been identified by the System of Health Accounts (SHA) as the largest source of health care financing in low- and middle-income countries [1]

  • The accurate measurement of of-pocket health payments (OOPs) has been challenged by several limitations in the sources of data for their estimation [7]

  • We present quantitative results of household characteristics, distribution of providers and health care utilization, and their corresponding proportions linked with households

Read more

Summary

Introduction

Out of pocket health payment has been identified by the System of Health Accounts (SHA) as the largest source of health care financing in low- and middle-income countries [1]. In the absence of routine data, these countries rely on national surveys as the main source of data for estimating OOPs [9] These surveys are household-based and have been found to have several limitations due to their design and focus thereby affecting ex-ante post harmonization efforts. Household surveys such as the Living Standard Measurement Surveys (LSMS) have been used extensively in collecting data for estimating current health expenditures and OOPs for most LMIC [9,10]. Unlike sampling errors that are well understood and quantifiable, non-sampling errors result from; survey design, recall period used, the number of questions asked, the choice of the respondent, lack of adequate supervision of primary field staff, tabulations errors among many others [1,7,11] and these errors tend to affect the reliability and comparability of health accounts estimates [10]

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call