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Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Bioavailability Study Design: Healthy Subjects Versus Patients01:15

Bioavailability Study Design: Healthy Subjects Versus Patients

Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
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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Related Experiment Video

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Comparing Approaches to Support Implementation of a Hospital Walking Program: Evidence from a Cluster Randomized

Susan N Hastings1,2,3,4,5, Karen M Stechuchak6, Caitlin B Kappler6

  • 1Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, NC, USA. susan.hastings@duke.edu.

Journal of General Internal Medicine
|February 26, 2026
PubMed
Summary

Enhanced support did not significantly improve the STRIDE hospital mobility program

Keywords:
AgingFunctionImplementation ScienceMobilityVeterans

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Area of Science:

  • Geriatric Medicine
  • Healthcare Implementation Science
  • Quality Improvement in Healthcare

Background:

  • Hospital mobility programs are crucial for functional recovery in older adults, aligning with age-friendly care.
  • Optimal implementation strategies for hospital mobility programs are not well-defined.
  • The STRIDE program aims to enhance mobility for older inpatients.

Purpose of the Study:

  • To compare foundational versus enhanced support for implementing the STRIDE hospital mobility program.
  • To evaluate the effectiveness of two distinct implementation strategies across Veterans Affairs (VA) hospitals.

Main Methods:

  • A parallel cluster randomized controlled trial involving 35 VA hospitals.
  • Hospitals were assigned to either foundational support (standard resources) or enhanced support (tailored facilitation).
  • The study included general medicine hospitalizations for patients aged 60 years and older, measuring program penetration and fidelity.

Main Results:

  • No significant differences were observed in the percentage of hospitalizations with STRIDE walks or fidelity metrics between enhanced and foundational support arms.
  • Both implementation strategies showed similar rates of STRIDE program initiation.
  • Implementation barriers and facilitators were comparable across both support arms.

Conclusions:

  • Enhanced support did not demonstrate a significant advantage over foundational support for implementing the STRIDE hospital mobility program.
  • Targeted strategies are needed to improve the reach and impact of hospital mobility programs.
  • Further research is required to optimize age-friendly care initiatives in hospital settings.