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Related Concept Videos

Stratified Sampling Method01:16

Stratified Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
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Documentation in Long-Term and Home Healthcare Setting

Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Cross-Sectional Research01:50

Cross-Sectional Research

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Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

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 Cox...
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Analysis of Population Pharmacokinetic Data

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Related Experiment Video

Updated: Jul 4, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Utilization Patterns Among Heterogeneous Subgroups of Homebound Older Adults: A Latent Class Analysis.

J Lee Young1, Mary L Pomeroy2, Hanna Charankevich2

  • 1Department of Medicine, Division of Geriatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Journal of the American Geriatrics Society
|July 3, 2026
PubMed
Summary

Homebound older adults have diverse needs. This study found that limited outpatient access doesn't necessarily increase avoidable emergency department (ED) visits in this population.

Keywords:
frailtyhealthcare utilizationhome‐based carelatent class analysis

Related Experiment Videos

Last Updated: Jul 4, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Area of Science:

  • Gerontology
  • Health Services Research
  • Health Economics

Background:

  • Homebound older adults are a high-risk group with varied clinical and sociodemographic profiles.
  • Understanding how this heterogeneity impacts care needs and utilization is crucial.
  • Previous research has limited insight into these specific dynamics.

Purpose of the Study:

  • To characterize healthcare utilization patterns among distinct subgroups of homebound older adults.
  • To examine the association between outpatient care levels and emergency department (ED) utilization.
  • To identify specific subgroups that may benefit most from targeted interventions.

Main Methods:

  • Utilized nationally representative data from the National Health and Aging Trends Study (NHATS) linked to Medicare claims (2011-2019, 2021-2023).
  • Employed latent class analysis (LCA) to identify subgroups of homebound older adults (ages 70+).
  • Conducted multivariable regression to assess the relationship between outpatient utilization and ED visits, including potentially avoidable ones (ACSC), adjusting for key covariates.

Main Results:

  • Identified four distinct subgroups: functional independence, dementia, multimorbidity, and dementia plus multimorbidity.
  • Observed significant variations in ambulatory and acute care utilization across these subgroups.
  • Found no evidence that limited ambulatory care access increases avoidable ED visits among homebound older adults.

Conclusions:

  • Heterogeneity within the homebound older adult population significantly influences care needs and utilization patterns.
  • Tailoring interventions, such as home-based primary care, to specific subgroups is essential for effective care delivery.
  • Further research is needed to optimize care strategies for diverse homebound populations.