Keywords
Health care utilization, Out-of-pocket expenditure, Health care coverage, Health insurance, Co-morbidities.
This article is included in the Datta Meghe Institute of Higher Education and Research collection.
Out-of-pocket health expenditures have significant adverse effects, potentially resulting in impoverishment and impacting the quality of life. Awareness of patterns of healthcare utilization and out-of-pocket expenses is essential for informing healthcare scheme decisions. According to estimates from the World Health Organization in 2005, illness and the financial strain of healthcare costs force 25 million households into poverty each year. The goal of the study is to assess the proportion of households incurring out-of-pocket expenditure (OOPE) and The mean quality expended by households on healthcare.
In Wardha district, a cross-sectional study will be conducted. The pre-tested semi-structured survey will be administered to examine a sample of adult age groups, to identify sociodemographic data, utilization of healthcare services, and OOPE. A sample of 246 participants was selected by random sample method.
This study will help to improve and assess healthcare utilization and reduce out-of-pocket expenditures that lead to catastrophe and impoverishment. Awareness of the participants about health insurance. And they were known about the healthcare services.
Health care utilization, Out-of-pocket expenditure, Health care coverage, Health insurance, Co-morbidities.
Universal access to high-quality healthcare services is available to everyone in the community, including promotive, preventive, curative, rehabilitative, palliative services, and mental impairment in people without any financial difficulties.1,2 The High-Level Expert Group (HLEG) on Universal Health Coverage proposes the performance of a “National Health Package,” encompassing comprehensive health services that will be provided to every individual free of cost.3 Appropriate planning and implementation of healthcare services requires reliable data on trends in morbidity and mortality, also trends in the utilization of healthcare facilities are considered. The socioeconomic status of the population depends on the healthcare utilization services, the disease severity, and the availability, accessibility, and affordability of healthcare services.4 The National Health Accounts (2016) in India households that contribute 64.2% of the Total Health Expenditure (THE) through out-of-pocket payments. Although the burden of out-of-pocket expenditure (OOPE) decreased from the 2004 to 2005 estimate (comprising 71% of the total health expenditure), it remains unsatisfactorily high.5
Globally, the primary objective of healthcare systems is to establish suitable funding mechanisms, ensuring individuals can access preventive and curative health services without falling into poverty.6
The reason for the health system is to enhance access to healthcare and utilization of resources by making them more affordable and to distribute the cost of healthcare services among every individual in a risk pool to decrease the economic burden of illness. however, the insurance penetration rate remains low in India, attributed to either a lack of knowledge or the functional status of the existing health insurance schemes.7
The Sustainable Development Goals (SDGs) were completed in September 2015, expanded, and build upon the Millennium Development Goals (MDGs) by incorporating updated targets. Derived from the principle of “leaving no one behind,” the Sustainable Development Goals (SDGs) consist of 17 goals and 169 targets. There are 17 goals in total, with Goal No. 3 specifically dedicated to health. SDG 3 comprises 13 targets, three initiatives are dedicated to improving maternal and child health, while another three focus on addressing both communicable and non-communicable diseases as well as addiction. Additionally, two initiatives target environmental health, and one aims to achieve Universal Health Coverage (UHC). The remaining four objectives encompass the implementation of tobacco control policies, vaccination and medication strategies, health financing, workforce development, and preparedness for global health risks.8
In India, health-related public expenditure is managed by three tiers of the government: the Central Government, the State Government, and the local bodies.9 Although government businesses and insurance providers are major healthcare funding agencies, each family and individual covers each of the healthcare expenses that can be incurred through OOP payments, insurance premiums, or government taxes.4 In India, Gross Domestic Product (GDP) spends only 5% on health and 80% of this takes the form of OOPE in rural areas. Also, rural households designated 3.31% (ranging from 0.4% to 10.96%) of their household budget for out-of-pocket expenditure, which is high in rural areas.3,5 In a prior investigation examining estimates on worldwide catastrophic spending and out-of-pocket (OOP) payments, it was found that around 150 million individuals experience a financial burden annually due to healthcare expenses. Additionally, approximately 100 million individuals fall into poverty as an outcome of OOP payments.6
Chronic health conditions have increased globally as a result of an unequaled increase in risk factors for non-communicable diseases (NCDs). The interaction and tendency to cluster among these NCDs result in the occurrence of comorbidity (the simultaneous presence of two or more NCDs), without a distinct primary index disease. The circumstances in middle-class and low-income nations are comparable. A systematic review revealed that the incidence of comorbidity in South Asia ranges between 4.5% and 83%. The analysis also indicated that the most frequently reported outcomes were decreased physical functioning and increased healthcare. Moreover, in developing Nations, healthcare is predominantly funded through OOP payments, and households facing a significant limitation on their scheme.10
The previous study indicated that the median total OOPE for incurable diseases was determined to amount to 5000 Indian Rupees. Additionally, it was noted that 41.6% of the participants’ overall earnings were allocated to healthcare expenses related to chronic diseases. This percentage suggests a situation of catastrophic health expenditure. Notably, health insurance coverage remains at a low level, and the utilization of social assistance for treatment is minimal.9
This study will be conducted because in-patient and out-patient care are associated with the highest out-of-pocket expenditure and less information about healthcare utilization patterns. Only 20 percent of households in Maharashtra have any kind of health insurance that covers at least one member of the household. This study will also fill the knowledge gap in Maharashtra people who are unaware of healthcare utilization patterns and OOPE in rural areas.
1. Association between socio-demographic variables and health care utilization services among adults in rural Wardha.
2. To identify the utilization pattern of healthcare services of the people living in rural areas.
3. To identify the health insurance coverage.
4. To assess the proportion of households experiencing out-of-pocket expenses and the average expenditure incurred by each household for healthcare.
The study will be conducted within the Wardha District of Maharashtra, specifically in the rural field practice area, under the Datta Meghe Institute of Higher Education and Research (DMIHER) Wardha.
The present study will include the adults age (25 to 59 years), both males and females in rural areas. In Wardha district.
Inclusion criteria:
1. Adults age group (25 to 59 years) people who suffered from any health problem since 1 year and above
2. Individuals who are willing to participate.
Exclusion criteria:
The prior research study, which was utilized as a mother research study, found that the higher prevalence of out-of-pocket expenditure was 80% in rural areas. The following articles were used to estimate the number of participants for this investigation.
With the help of the following formula, the sample size was calculated:
Estimated proportion (p): 0.8
Estimated error (d): 0.05
Alpha (α): 0.05
Sample size: 246
Therefore, a total of 246 adults will be included in the sample size to collect data and assess healthcare utilization and OOPE in rural areas.
The study will be conducted in the Wardha district, and only 1 village selected for data collection by using a simple random sampling method. After the selection of the village, 246 households will be selected and will be interviewed for data collection. Data will be collected using pre-tested semi-structured questionnaires. The Kobo toolbox will be used.
1. Socio-demographic variables
It includes gender, religion, economic status, family types, and type of house.
2. Healthcare utilization for diseases
It includes the system of medicine, type of service, type of hospital, type of government hospital, and type of insurance availed by the participant.
3. Out-of-pocket expenditure
Data will be collected using pre-tested semi-structured questionnaires. The Kobo Toolbox will be used for the data collection procedure. The questionnaires will be created using the Kobo toolbox. This questionnaire will have three sections, first is sociodemographic data (e.g. gender, religion, economic status, family type, and type of house), second is health care utilization in rural areas and third is out-of-pocket expenditure of adults in rural areas. The tool’s objective is to assess the healthcare utilization and OOPE of adults in rural areas. A written consent form will be taken participants before participate in the study. Variables, data sources and method of data collection shown in Table 1.
Data will be collected in pretested semi-structured questionnaires. The purpose of the interview will be to explain to the participants in their local language so they can understand the objective of the study properly and be willing to participate in the study. Information will be gathered through interviews during house-to-house visits. To identify the healthcare utilization patterns and OOPE in rural areas. The demographic questionnaires, healthcare utilization patterns, and OOPE questions set in the Kobo Toolbox software (https://www.kobotoolbox.org/) it will be used for data collection during the interview.
Recall bias may occur as participants may not accurately remember or report their healthcare utilization or out-of-pocket expenditure. This can affect the reliability of the data.
Selection bias can occur when the sample of individuals included in a study is not representative of the larger population. Random sampling techniques aim to eliminate bias by ensuring that every member of the population has an equal opportunity to be included in the study.
The Datta Meghe Institute of Higher Education and Research (Deemed to be University). Institutional Ethics Committee approval for this study protocol Ref. No. DMIHER (DU)/IEC/2023/37. Date: 20/12/2023. Additionally, written informed consent will be obtained from all the participants before participating in the study. Privacy and confidentially will be maintained throughout the study. Measures will be taken to minimize any potential harm a risks to the participants.
The data will be entered in Microsoft Excel. This data will be encoded and entered, and the data will be analyzed using R Statistical software 4.3.2 version (https://www.r-project.org/). The data will be tabulated and visualized through graphs and tables. Inferential statistics like T-tests and chi-square tests will be used.
The research is not yet started. The proposal of this study was submitted for ethical approval to the IEC department of DMIHER (DU) and approved by the ethical committee.
This study will improve and assess the healthcare utilization and OOPE in a rural area and who will get the proportion of utilization services according to the co-morbidity, and health insurance card. We will get some significant factors regarding health care utilization and services.
Harish et al. (2020) have done a cross-sectional in Kerala. The goal of the study is to find the health insurance coverage and its impact on out-of-pocket (OOP) expenditure in rural areas. Health insurance coverage was determined to be 74%. A quarter of patients lack insurance coverage. While all patients face out-of-pocket (OOP) expenses, insured individuals notably incur lower OOP costs.7
Dalal K et al. (2017) This study was conducted a household survey in Cambodia. This analysis explores the household impacts of out-of-pocket (OOP) healthcare payments, focusing on their catastrophic, economic, and fairness aspects. The finding indicated inequality and unfairness in healthcare payments, with a higher prevalence of catastrophic spending among the impoverished.6
Vasudevan et al. (2019): A cross-sectional study was conducted in Puducherry. To assess the percentage of households incurring out-of-pocket expenses and the mean expenditure per household on healthcare. The study included 240 households, evenly divided between 120 rural and 120 urban. According to this study, the prevalence of households incurring out-of-pocket healthcare expenses was 68.3% in rural areas, while in urban areas, it was 65.8% (ranging from 57% to 73.7%).5
Mathumkunnath Vijayan et al. (2020) performed a cross-sectional study in Thrissur district of Kerala. The goal of the study is to understand the patterns of healthcare utilization patterns and out-of-pocket expenditures that are crucial for healthcare policy-making. 26.6% of the study participants had obtained health insurance. Health insurance coverage is minimal, and the utilization of community assistance for treatment is limited. These factors result in high OOP expenses, reaching the level of catastrophic health expenditures.9
Thuong et al. (2020) Household Living Standard Surveys in Vietnam is a Southeast Asian. To investigate the effect of these health insurance initiatives on the utilization of healthcare facilities and out-of-pocket health expenditures (OOP). We establish that Health insurance has raised the expectation of seeking outpatient care, the overall total outpatient visits, total visit count, and the mean number of visits at the district level of healthcare providers. The health insurance scheme increased the healthcare utilization services and concurrently reduced out-of-pocket expenses for the participants.2
In 2022 Karan et al., the National Sample Survey Organization (NSSO) 75th round was organized. This study aims to produce current evidence regarding the economic implications of comorbidity on households, particularly regarding OOPE, and their consequences on experiencing catastrophic out-of-pocket expenditure. The findings of this study indicated that the outpatient OOPE is consistently lower when comorbidity is present, in comparison to situations involving single conditions. This study concludes that, the multimorbidity results in elevated and catastrophic out-of-pocket payments by households.10
Felix Masiye (2016) a cross-sectional dataset from the Zambian Household Health Expenditure and Utilisation Survey (ZHHEUS). To investigate the factors associated with healthcare choices among individuals who are ill. The conclusion drawn from this study the population’s access to healthcare is strongly influenced by their socio-economic status, type of illness, and region of residence.11
Most of the individuals are unable to afford the treatment for chronic diseases on their own and fall into debt. Identifying patterns of healthcare utilization can help in understanding the existing gaps in healthcare access. The results of the study can be used to advocate for the improvement of healthcare infrastructure in rural areas and ensure the population has adequate and accessible healthcare facilities. In rural areas of India, there is a need to enhance awareness among adult individuals regarding the free healthcare facilities provided by the government.
No data are associated with this article.
Repository Name: Figshare
File Name: STROBE Checklist for “A study on health care utilization and out of pocket expenditure in rural central India: A cross-sectional study”, DOI: 10.6084/m9.figshare.25342510.v2. 12
Licence: CC BY 4.0
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Is the rationale for, and objectives of, the study clearly described?
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Is the study design appropriate for the research question?
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Are sufficient details of the methods provided to allow replication by others?
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Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Health economics, Sustainable development goals
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