Evidence map›Paper›PMID 37646152›Full record

ArticleJournal of primary care & community health

Application of Innovative Subject Recruitment System for Batch Enrollment: A Pilot Study.

Chung-Il Wi, Katherine S King, Euijung Ryu, Traci L Natoli, Ryan P Miller, Matthew J Spiten, Bijan J Borah, Paul Y Takahashi, Xiaoxi Yao, Peter A Noseworthy and 2 more

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
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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

12 authors.

Chung-Il WiDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-8938-2997
Katherine S KingDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA.
Euijung RyuPrecision Population Science Lab, Mayo Clinic, Rochester, MN, USA.
Traci L NatoliDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA.
Ryan P MillerDepartment of Information Technology, Mayo Clinic, Phoenix, AZ, USA.
Matthew J SpitenDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA.
Bijan J BorahDepartment of Health Services Research, Mayo Clinic, Rochester, MN, USA.
Paul Y TakahashiDivision of Community Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Xiaoxi YaoRobert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.
Peter A NoseworthyDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Robert J PignoloDepartment of Medicine, Divisions of Hospital Internal Medicine, Endocrinology, and Geriatric Medicine and Gerontology, Mayo Clinic, Rochester, MN, USA.
Young J JuhnDepartment of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-2112-4240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUsing a digital process that leverages electronic health records (EHRs) can ease many of the challenges presented by the traditional enrollment process for clinical trials. We tested if automated batch enrollment using a technology-enabled subject recruitment system (TESRS) enhances recruitment while preserving representation of research subjects for the study population in our study setting.

methodsAn ongoing community-based prospective adult cohort study was used to randomize 600 subjects who were eligible by age and residential address to TESRS (n = 300) and standard mailing method (n = 300), respectively, for 3 months. Then, TESRS was initiated and included automatic identification of patients' preference for being contacted (online patient portal vs postal mail) from EHRs and automatic sending out of invitation letters followed by completion of a short online survey for checking eligibility and the digital consent process if eligible. We compared (1) median time to consent from invitation sent out per subject and total subjects recruited after a 3-month recruitment period, (2) the estimated study staff's time, and (3) representation of sociodemographic characteristics (e.g., age, sex, race, SES measured by HOUSES index, and rural residence) between subjects recruited via TESRS and those via traditional mailing methods.

resultsMedian age of randomized subjects (n = 600) was 63 years with 52.0% female and 89.2% non-Hispanic White. Over a 3-month period, results showed consent rate via TESRS was 13% (39/297) similar to 11% (31/295) via standard mailing. However, recruitment was significantly faster with the TESRS approach (median 7 vs 26 days) given the study staff's effort. Study staff's time saved by using TESRS compared to standard mailing approach was estimated at 40 min per subject (equivalent to 200 h for 300 subjects). No significant differences in characteristics of research subjects from the study population were found.

conclusionOur study demonstrated the utility of TESRS as a subject recruitment digital technology which significantly enhanced the recruitment effort while reducing the study staff burden of recruitment while maintaining the consistency of characteristics of recruited subjects. The strategy and support for implementing and testing TESRS in other study settings should be considered.

Indexed as

Electronic Health RecordsAdultCohort StudiesFemaleHumansMaleMiddle AgedPilot ProjectsProspective StudiesSurveys and Questionnairesbatchdecentralizedrecruitmenttechnologytrial

Identifiers

PMID37646152
PMCPMC10467239

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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.