Evidence map›Paper›PMID 35879076›Full record

ArticleAnnals of family medicine

Designing and Implementing an Electronic Health Record-Embedded Card Study in Primary Care: Methods and Considerations.

Arwen Bunce, Mary Middendorf, Megan Hoopes, Jenna Donovan, Rachel Gold

Abstract read
In one paragraph

Article in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. 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

5 authors.

Arwen BunceOCHIN Inc, Portland, Oregon buncea@ochin.org.
Mary MiddendorfOCHIN Inc, Portland, Oregon.
Megan HoopesOCHIN Inc, Portland, Oregon.
Jenna DonovanOCHIN Inc, Portland, Oregon.
Rachel GoldOCHIN Inc, Portland, Oregon.

Funding

ASCEND: ApproacheS to CHC ImplEmeNtation of SDH Data Collection and ActionR18DK114701 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GOLD, RACHEL · 2017 to 2021
$3.5M
NIDDK NIH HHS R18 DK114701
6 · The paper itself

Abstract

Card studies-short surveys about the circumstances within which patients receive care-are traditionally completed on physical cards. We report on the development of an electronic health record (EHR)-embedded card study intended to decrease logistical challenges inherent to paper-based approaches, including distributing, tracking, and transferring the physical cards, as well as data entry and respondent prompts, while simultaneously decreasing the complexity for participants and facilitating rich analyses by linking to clinical and demographic data found in the EHR. Developing the EHR-based programming and data extraction was time consuming, required specialized expertise, and necessitated iteration to rectify issues encountered during implementation. Nonetheless, future EHR-embedded card studies will be able to replicate many of the same processes as informed by these results. Once built, the EHR-embedded card study simplified survey implementation for both the research team and clinic staff, resulting in research-quality data, the ability to link survey responses to relevant EHR data, and a 79% response rate. This detailed accounting of the development and implementation process, including issues encountered and addressed, might guide others in conducting EHR-embedded card studies.

Indexed as

Electronic Health RecordsPrimary Health CareHumansSurveys and Questionnairescard studyelectronic health recordpatient caresurvey method

Identifiers

PMID35879076
PMCPMC9328703

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.