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Related Concept Videos

Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

3.9K
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
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Actuarial Approach01:20

Actuarial Approach

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The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
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Secondary Healthcare System01:11

Secondary Healthcare System

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Secondary healthcare is offered by a specialist, generally in hospitals or clinics for patients referred by primary healthcare providers. It occurs when a person has an illness or injury that requires specific medical care. Secondary care is often referred to as acute care. Secondary care can range from uncomplicated care to repair a minor laceration or treat a strep throat infection to more complicated emergent care, such as treating a head injury sustained in an automobile accident. Whatever...
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Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

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Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
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Life Tables01:22

Life Tables

665
A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
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Kaplan-Meier Approach01:24

Kaplan-Meier Approach

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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,...
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Related Experiment Video

Updated: Apr 27, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

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Socialized medicine and mortality.

Sam Peltzman1

  • 1Booth School of Business, University of Chicago, 5807 S Woodlawn Ave, Chicago, IL , 60637, USA, samp@uchicago.edu.

International Journal of Health Care Finance and Economics
|July 16, 2014
PubMed
Summary

Government health care financing does not appear to improve health outcomes. Analysis of 20 developed countries from 1950-2010 shows no robust correlation between public health expenditure and mortality-based health indicators.

Area of Science:

  • Health Economics
  • Public Health Policy
  • Comparative Health Systems

Background:

  • Global life expectancy and government health care expenditure have risen significantly over the past century.
  • Cross-country data suggests a potential inverse relationship, with the US exhibiting low government health expenditure share and poorer health outcomes.
  • This raises questions about the impact of public financing on national health performance.

Purpose of the Study:

  • To investigate the relationship between government involvement in health care financing and health outcomes.
  • To analyze trends in public health expenditure and health indicators across developed nations.
  • To determine if increased government financing correlates with improved mortality-based health measures.

Main Methods:

Related Experiment Videos

Last Updated: Apr 27, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.3K
  • Utilized panel data from 20 developed countries spanning 1950 to 2010.
  • Reviewed the historical evolution of government health care financing policies during the study period.
  • Employed panel regression analysis to assess correlations between government involvement and various mortality-based health outcomes.

    • Main Results:

    • The study found no robust negative correlation between the extent of government involvement in health care financing and health outcomes.
    • Analysis across multiple mortality indicators did not support a link between higher public health expenditure shares and better population health.
    • The findings were consistent across different statistical models and outcome measures.

    Conclusions:

    • Increased government financing of health care does not demonstrate a significant positive impact on health outcomes in developed countries.
    • The historical data suggests that factors beyond the share of government expenditure may be more critical for improving population health.
    • Further research is needed to explore alternative determinants of health outcomes and the effectiveness of different health care system structures.