Evidence map›Paper›PMID 39323429›Full record

ArticleFrontiers in rehabilitation sciences2024

Impact of reduced group size on patient adherence and functional outcomes in cardiac rehabilitation: insights from a COVID-19 pandemic natural experiment.

Rachael M Chait, Julia Ossi, Brett M Colbert, Eric Huang, Juliann Gilchrist, Thais Garcia, Sharon Andrade-Bucknor, Azizi Seixas

Abstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rachael M Chait *Miller School of Medicine, University of Miami, Miami, FL, United States.
Julia Ossi *Miller School of Medicine, University of Miami, Miami, FL, United States.
Brett M Colbert *Medical Scientist Training Program, Miller School of Medicine, University of Miami, Miami, FL, United States.
Eric HuangMiller School of Medicine, University of Miami, Miami, FL, United States.
Juliann GilchristMiller School of Medicine, University of Miami, Miami, FL, United States.
Thais GarciaDepartment of Physical Therapy, Miller School of Medicine, University of Miami, Miami, FL, United States.
Sharon Andrade-Bucknor *Department of Internal Medicine, Cardiology Division, Miller School of Medicine, University of Miami, Miami, FL, United States.
Azizi SeixasDepartment of Informatics and Health Data Science, Miller School of Medicine, University of Miami, Miami, FL, United States.

Funding

AIM-AHEAD Coordinating Center - All Four CoresOT2OD032581 · OD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Paul Avillach, Bettina M. Beech · 2021 to 2026
$168.7M
Recruitment and Retention for Alzheimer's Disease Diversity Genetic Cohorts in the ADSP (READD-ADSP)U19AG074865 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI GOLDIE S. BYRD, William S Bush · 2022 to 2026
$55.3M
The Origins of Alzheimer Disease in African AmericansR01AG072547 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Rufus Olusola Akinyemi, GOLDIE S. BYRD · 2022 to 2026
$26.1M
Determinants of insufficient sleep among blacks and effects on disparities in health outcomesR01HL142066 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI JEAN-LOUIS, GIRARDIN · 2019 to 2023
$4.7M
DORMIR: Determinants, Outcomes, Responses and Markers of Insufficient sleep in Rural-Urban settingsR01HL152453 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SEIXAS, AZIZI · 2020 to 2024
$3.7M
Mechanisms of sleep deficiency and effects on brain injury and neurocognitive functions among older blacksR01AG067523 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI JEAN-LOUIS, GIRARDIN · 2020 to 2024
$3.7M
Personalized OSA treatment and effects on AD biomarkers and cognition among blacksR01AG075007 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Azizi Seixas · 2022 to 2026
$3.0M
NHLBI NIH HHS R01 HL142066NHLBI NIH HHS R01 HL152453NIA NIH HHS R01 AG067523NIA NIH HHS R01 AG072547NIA NIH HHS R01 AG075007NIA NIH HHS U19 AG074865NIH HHS OT2 OD032581
6 · The paper itself

Abstract

Introduction: Cardiac rehabilitation (CR) adherence and functional outcomes were measured after COVID-19 regulations reduced group sizes to one-on-one, modeling a natural experiment. Methods: A retrospective analysis using a natural experiment model measured participants in 12 weeks of CR during the 17 months before and after a COVID-19-related closure was conducted. The age, sex, race, ethnicity, and referral diagnoses of the pre-COVID-19 closure and post-COVID-19 closure groups were analyzed using a student's unpaired T-test. Adherence (completion rate of CR) and functional outcomes [change in six-minute walk test (6MWT)] were assessed between the two groups using unpaired two-tailed student T tests in GraphPad Prism and confidence intervals were calculated with the Baptista-Pike method. Results: There were 204 patients in the pre-COVID-19 group and 51 patients in the post-COVID-19 group, due to the smaller group sizes in the post-COVID-19 group, with no significant differences in baseline characteristics between the groups. The pre-COVID-19 group had a higher patient-to-provider ratio [2.8 patients/provider (SD 0.74)] relative to the post-COVID-19 group [0.4 patients/provider (SD 0.12); Discussion: The reduction in group size to one-on-one was associated with 10 times higher odds of CR completion. Among those that completed CR, functional outcomes were not influenced by group size. Thus, pursuit of one-on-one sessions may improve CR adherence.

Indexed as

6-min walk testcardiac rehabilitationCOVID-19patient-to-provider ratioreduced group size

Identifiers

PMID39323429
PMCPMC11422353

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.