Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

277
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...
277
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

513
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
513
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

382
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
382
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

910
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
910
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

3.5K
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...
3.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Evaluating Artificial Intelligence-Generated Multiple-Choice Questions in Wilderness Medicine: Quality, Feasibility, and Time Savings for Educators.

Wilderness & environmental medicine·2026
Same author

Minimum Wages, the Earned Income Tax Credit, and Mental Health Around Pregnancy.

Health economics·2025
Same author

Multilevel factors associated with sleep duration and bedtime regularity in U.S. children with and without neurodevelopmental disorders: a nationally representative study.

World journal of pediatrics : WJP·2025
Same author

Walkability and Mental Health Resiliency During the COVID-19 Pandemic.

Health economics·2025
Same author

Food Shopping Frequency of Rural Tennessee Adults With Comparisons by Federal Nutrition Assistance Participation.

Journal of nutrition education and behavior·2021
Same author

Examining fruit and vegetable intake in low-income older adults using the Veggie Meter®.

Nutrition and health·2021

Related Experiment Video

Updated: Sep 7, 2025

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

14.6K

US Health Care Expenditures, GDP and Health Policy Reforms: Evidence from End-of-Sample Structural Break Tests.

Ben Brewer1, Karen Smith Conway2, Deniz Ozabaci2

  • 1University of Hartford, West Hartford, CT USA.

Eastern Economic Journal
|June 22, 2022
PubMed
Summary
This summary is machine-generated.

US healthcare spending and GDP have a stable relationship, even during major reforms like Medicare/Medicaid and the ACA. Analysis confirms this stability over time, unaffected by significant policy changes.

Keywords:
GDPIncome elasticity of health careMultiple structural changesUS health care expenditure

More Related Videos

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

523
Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.0K

Related Experiment Videos

Last Updated: Sep 7, 2025

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

14.6K
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

523
Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.0K

Area of Science:

  • Health Economics
  • Public Policy Analysis
  • Econometrics

Background:

  • The relationship between US healthcare expenditure (HCE) and Gross Domestic Product (GDP) is a critical indicator of economic health.
  • Major healthcare reforms, such as Medicare/Medicaid and the Affordable Care Act (ACA), could potentially alter this fundamental economic relationship.

Purpose of the Study:

  • To investigate the long-term stability of the aggregate US HCE-GDP relationship.
  • To determine if significant healthcare reforms have caused structural breaks in the HCE-GDP linkage.

Main Methods:

  • Utilized annual national- and state-level data spanning relevant periods.
  • Employed a battery of structural break tests to identify shifts in the HCE-GDP relationship.
  • Conducted an ancillary analysis around the 2006 Massachusetts healthcare reform to isolate effects.

Main Results:

  • The HCE-GDP relationship demonstrated overwhelming stability over time.
  • No significant structural breaks were detected in the HCE-GDP relationship during major reform periods.
  • Ancillary analysis of the Massachusetts reform also found no change, avoiding confounding factors.

Conclusions:

  • The aggregate US HCE-GDP relationship is robust and has remained stable despite significant healthcare policy interventions.
  • Findings suggest that major reforms have not fundamentally altered the linkage between healthcare spending and overall economic output.