The Effect of Mid-to-Long-Term Hospitalization on the Catastrophic Health Expenditure: Focusing on the Mediating

Hyunwoo Jung1, Jungyeon Yang2, Eunyoung Kim3

  • 1Department of Health Administration, Graduate School, Yonsei University, Wonju 26493, Korea.

Insights

Mid-to-long-term hospitalizations increase catastrophic health expenditure by reducing earned income. This study highlights income loss as a key factor in understanding health expenditure, beyond just medical costs.

Area of Science:

  • Health Economics
  • Public Health
  • Socioeconomic Determinants of Health

Background:

  • Mid-to-long-term hospitalization (MLTH) poses significant financial burdens on households due to high medical costs and income loss.
  • Catastrophic health expenditure (CHE) is defined as medical expenses exceeding a household's ability to pay.
  • Understanding the economic impact of prolonged hospital stays is crucial for public health policy.

Purpose of the Study:

  • To investigate the direct impact of MLTH on the incidence of CHE.
  • To examine the mediating role of earned income reduction rate (EIRR) in the relationship between MLTH and CHE.

Main Methods:

  • Utilized data from the Korean Welfare Panel Study (2015-2017).
  • Included 1671 households with earned income.
  • Employed three-step regression analyses to assess mediation effects.

Main Results:

  • MLTH was found to directly increase CHE.
  • MLTH was also shown to increase EIRR.
  • Both EIRR and MLTH significantly contributed to CHE, with EIRR mediating the effect of MLTH on CHE (95% CI: 0.364–0.644).

Conclusions:

  • CHE is influenced not only by medical costs but also by income loss due to MLTH.
  • Earned income reduction is a critical factor to consider when analyzing the causes of CHE.
  • This research provides a broader perspective on the socioeconomic factors contributing to catastrophic health expenditure.
Abstract

Related Concept Videos

Hazard Rate01:11

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
220
Restorative Care01:19

Restorative Care

Restorative care is provided once a patient has been discharged from a healthcare facility and requires additional services. The additional services include home care, rehabilitation programs, and extended care. Restorative care centers help the patient regain their previous level of functioning or acquire a new level of functioning due to the incapacitating effects of a disease or a disability. It aims to assist patients in enhancing their quality of life by encouraging independence,...
2.1K
Factors Affecting Illness01:18

Factors Affecting Illness

When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
4.6K
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
300
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
317
Classification of Illness01:17

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.1K