Evidence map›Paper›PMID 42260374›Full record

ArticleBMC medical research methodology2026

Enhancing recruitment methodologies: leveraging the Tailored Design Method to survey populations with varied engagement in healthcare.

Hari H Venkatachalam, Nina A Sayer, Heather Belanger, Peter A Toyinbo, Stephen L Luther, Shannon R Miles

Abstract read
In one paragraph

Article in BMC medical research methodology, 2026. 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
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0citing papers in PubMed
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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

6 authors.

Hari H VenkatachalamResearch and Development Service, James A. Haley Veterans' Hospital, Tampa, FL, USA. hhv@unc.edu.
Nina A SayerCenter for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota, USA.
Heather BelangerDepartment of Psychology, University of South Florida, Tampa, Florida, USA.
Peter A ToyinboResearch and Development Service, James A. Haley Veterans' Hospital, Tampa, FL, USA.
Stephen L LutherCollege of Public Health, University of South Florida, Tampa, Florida, USA.
Shannon R MilesMental Health and Behavioral Sciences, James A. Haley Veterans' Hospital, Tampa, Florida, USA.

Funding

Health Services Research and Development Merit Review Award Number (IIR 17-051)
6 · The paper itself

Abstract

backgroundSuccessfully recruiting respondents to complete surveys is integral for ensuring representative samples and providing adequate power for analyses. However, obtaining survey responses for public health and health services research can be challenging, especially when working with populations with varied engagement with the providers of the institution conducting the study. Recruitment may be particularly challenging when selecting potential participants based on historical medical encounters that they may not remember, such as a brief health screen. Many researchers implement the Tailored Design Method (TDM) to optimize response rates. Adaptations to TDM, however, may be needed for researchers in federal institutions conducting surveys of populations with varied levels of healthcare engagement. This manuscript describes TDM implementation techniques and modifications that comply with federal regulations, and factors associated with response rates and survey response type.

methodsWe surveyed a random, stratified sample of 9,775 U.S. Iraq and Afghanistan war veterans whom the Veterans Health Administration (VHA) had screened between 2007 and 2018 for post-deployment health concerns. We implemented a modified TDM that complied with federal regulations to survey veterans by email and USPS between July 2020 and August 2021.

resultsTwenty-one percent (N = 2,025) responded. It took a median of 21 and 69 days to receive responses via electronic survey and paper booklets, respectively. The random sample of veterans had varied levels of engagement with the VHA at the time of health screening and survey. Respondents and non-respondents used equal amounts of neurology, physical medicine and rehabilitation, and mental health VHA services in the 6 months post-screens. At the time of the survey (an average of 9 years post-screen), 21% of respondents reported not having recently used VHA services. Respondents were more likely to be older, White, and female than non-respondents, although differences were small in magnitude. Compared to electronic survey respondents, paper booklet respondents were more likely to be older, rural, and screened earlier, and less likely to live in the same state as the research team. When controlling for first contact mode (email vs. USPS), only age predicted whether veterans responded by paper booklet or electronic survey.

conclusionsInvestigators working in federal organizations should be aware of possible lower response rates when compared to surveys of civilians. Researchers in federal institutions seeking to optimize response rates may find our TDM adaptations useful when surveying historical cohorts or populations without regular interaction with the research institution. Our response rate (~ 21%) may be useful for researchers conducting sample size calculations with similar populations.

Indexed as

Patient SelectionResearch DesignVeteransAdultFemaleHealth Services ResearchHumansMaleMiddle AgedSurveys and QuestionnairesUnited StatesUnited States Department of Veterans AffairsInternet surveyPostal surveyResponse rateSurvey methodologies in health researchSurvey methods

Identifiers

PMID42260374
PMCPMC13470937

What OpenQuestion holds

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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.