Evidence map›Paper›PMID 37493171›Full record

ArticleClinical trials (London, England)2023

Assessing the representativeness of cluster randomized trials: Evidence from two large pragmatic trials in United States nursing homes.

Nina R Joyce, Sarah E Robertson, Ellen McCreedy, Jessica Ogarek, Edward H Davidson, Vincent Mor, Stefan Gravenstein, Issa J Dahabreh

Open access · greenAbstract read
In one paragraph

Article in Clinical trials (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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 at 3 institutions in 1 country.

Nina R JoyceDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, USA.ORCID 0000-0001-7611-5494
Sarah E RobertsonDepartment of Health Services Policy and Practice, Brown University School of Public Health, Providence, RI, USA.
Ellen McCreedyCenter for Gerontology and Health Care Research, Brown University School of Public Health, Providence, RI, USA.
Jessica OgarekCenter for Gerontology and Health Care Research, Brown University School of Public Health, Providence, RI, USA.
Edward H DavidsonInsight Therapeutics, LLC, Norfolk, VA, USA.
Vincent MorCenter for Gerontology and Health Care Research, Brown University School of Public Health, Providence, RI, USA.
Stefan GravensteinCenter for Gerontology and Health Care Research, Brown University School of Public Health, Providence, RI, USA.
Issa J DahabrehCAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Brown University · USHarvard University · USInsight Therapeutics · US

Funding

Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI ZHENCHAO QIAN · 2016 to 2026
$7.6M
Use of Registries, Claims and Health System Data to Enhance the Evaluation of Cardiovascular Therapies in Clinical TrialsR01HL136708 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Issa J. Dahabreh, Robert Yeh · 2017 to 2026
$6.9M
METRIcAL - Music & MEmory: a Pragmatic TRIal for Nursing Home Residents with ALzheimer's DiseaseR33AG057451 · NIA · BROWN UNIVERSITY · PI MOR, VINCENT · 2018 to 2021
$5.0M
Develop Patient Centered Outcomes Scholars for Comparative Effectiveness ResearchK12HS022998 · AHRQ · BROWN UNIVERSITY · PI TRIKALINOS, THOMAS · 2014 to 2018
$3.4M
Methods for generalizing inferences from cluster randomized controlled trials to target populationsR01LM013616 · NLM · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI DAHABREH, ISSA J. · 2022 to 2025
$1.4M
AHRQ HHS K12 HS022998NHLBI NIH HHS R01 HL136708NIA NIH HHS R33 AG057451NICHD NIH HHS P2C HD041020NLM NIH HHS R01 LM013616
6 · The paper itself

Abstract

BACKGROUND/

aimsWhen the randomized clusters in a cluster randomized trial are selected based on characteristics that influence treatment effectiveness, results from the trial may not be directly applicable to the target population. We used data from two large nursing home-based pragmatic cluster randomized trials to compare nursing home and resident characteristics in randomized facilities to eligible non-randomized and ineligible facilities.

methodsWe linked data from the high-dose influenza vaccine trial and the Music & Memory Pragmatic TRIal for Nursing Home Residents with ALzheimer's Disease (METRICaL) to nursing home assessments and Medicare fee-for-service claims. The target population for the high-dose trial comprised Medicare-certified nursing homes; the target population for the METRICaL trial comprised nursing homes in one of four US-based nursing home chains. We used standardized mean differences to compare facility and individual characteristics across the three groups and logistic regression to model the probability of nursing home trial participation.

resultsIn the high-dose trial, 4476 (29%) of the 15,502 nursing homes in the target population were eligible for the trial, of which 818 (18%) were randomized. Of the 1,361,122 residents, 91,179 (6.7%) were residents of randomized facilities, 463,703 (34.0%) of eligible non-randomized facilities, and 806,205 (59.3%) of ineligible facilities. In the METRICaL trial, 160 (59%) of the 270 nursing homes in the target population were eligible for the trial, of which 80 (50%) were randomized. Of the 20,262 residents, 973 (34.4%) were residents of randomized facilities, 7431 (36.7%) of eligible non-randomized facilities, and 5858 (28.9%) of ineligible facilities. In the high-dose trial, randomized facilities differed from eligible non-randomized and ineligible facilities by the number of beds (132.5 vs 145.9 and 91.9, respectively), for-profit status (91.8% vs 66.8% and 68.8%), belonging to a nursing home chain (85.8% vs 49.9% and 54.7%), and presence of a special care unit (19.8% vs 25.9% and 14.4%). In the METRICaL trial randomized facilities differed from eligible non-randomized and ineligible facilities by the number of beds (103.7 vs 110.5 and 67.0), resource-poor status (4.6% vs 10.0% and 18.8%), and presence of a special care unit (26.3% vs 33.8% and 10.9%). In both trials, the characteristics of residents in randomized facilities were similar across the three groups.

conclusionIn both trials, facility-level characteristics of randomized nursing homes differed considerably from those of eligible non-randomized and ineligible facilities, while there was little difference in resident-level characteristics across the three groups. Investigators should assess the characteristics of clusters that participate in cluster randomized trials, not just the individuals within the clusters, when examining the applicability of trial results beyond participating clusters.

Indexed as

Influenza, HumanInfluenza VaccinesAgedHumansMedicareNursing HomesRandomized Controlled Trials as TopicUnited StatesInfluenza VaccinesdementiageneralizabilityinfluenzaMedicareNursing home

Identifiers

PMID37493171
PMCPMC10811279
OpenAlexW4385265021

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Registered trials

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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.