Evidence map›Paper›PMID 37323540›Full record

ArticleJAMIA open2023

Procurement of patient medical records from multiple health care facilities for public health research: feasibility, challenges, and lessons learned.

James M McMahon, Judith Brasch, Eric Podsiadly, Leilani Torres, Robert Quiles, Evette Ramos, Hugh F Crean, Jessica E Haberer

Abstract read
In one paragraph

Article in JAMIA open, 2023. 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.

James M McMahonSchool of Nursing, University of Rochester Medical Center, Rochester, New York, USA.ORCID https://orcid.org/0000-0003-4707-5141
Judith BraschSchool of Nursing, University of Rochester Medical Center, Rochester, New York, USA.
Eric PodsiadlySchool of Nursing, University of Rochester Medical Center, Rochester, New York, USA.
Leilani TorresSchool of Nursing, University of Rochester Medical Center, Rochester, New York, USA.
Robert QuilesSchool of Nursing, University of Rochester Medical Center, Rochester, New York, USA.
Evette RamosSchool of Nursing, University of Rochester Medical Center, Rochester, New York, USA.
Hugh F CreanSchool of Nursing, University of Rochester Medical Center, Rochester, New York, USA.
Jessica E HabererCenter for Global Health, Massachusetts General Hospital, Boston, Massachusetts, USA.

Funding

PrEP implementation with US HIV-serodiscordant couples: Couples PrEP Demo ProjectR01MH107371 · NIMH · UNIVERSITY OF ROCHESTER · PI MCMAHON, JAMES M · 2015 to 2019
$3.4M
Formative research on PrEP provision in U.S. HIV-serodiscordant couplesR56MH103047 · NIMH · UNIVERSITY OF ROCHESTER · PI MCMAHON, JAMES M · 2014 to 2014
$445k
NIMH NIH HHS R01 MH107371NIMH NIH HHS R56 MH103047
6 · The paper itself

Abstract

Objectives: Studies that combine medical record and primary data are typically conducted in a small number of health care facilities (HCFs) covering a limited catchment area; however, depending on the study objectives, validity may be improved by recruiting a more expansive sample of patients receiving care across multiple HCFs. We evaluate the feasibility of a novel protocol to obtain patient medical records from multiple HCFs using a broad representative sampling frame. Materials and Methods: In a prospective cohort study on HIV pre-exposure prophylaxis utilization, primary data were collected from a representative sample of community-dwelling participants; voluntary authorization was obtained to access participants' medical records from the HCF at which they were receiving care. Medical record procurement procedures were documented for later analysis. Results: The cohort consisted of 460 participants receiving care from 122 HCFs; 81 participants were lost to follow-up resulting in 379 requests for medical records submitted to HCFs, and a total of 343 medical records were obtained (91% response rate). Less than 20% of the medical records received were in electronic form. On average, the cost of medical record acquisition was $120 USD per medical record. Conclusions: Obtaining medical record data on research participants receiving care across multiple HCFs was feasible, but time-consuming and resulted in appreciable missing data. Researchers combining primary data with medical record data should select a sampling and data collection approach that optimizes study validity while weighing the potential benefits (more representative sample; inclusion of HCF-level predictors) and drawbacks (cost, missing data) of obtaining medical records from multiple HCFs.

Indexed as

health care facilitiesmedical record procurementmedical research

Identifiers

PMID37323540
PMCPMC10264223

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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.