Evidence map›Paper›PMID 34871423›Full record

ReviewJournal of the American Medical Informatics Association : JAMIA2022

Examining perspectives on the adoption and use of computer-based patient-reported outcomes among clinicians and health professionals: a Q methodology study.

Shirley V Burton, Annette L Valenta, Justin Starren, Joanna Abraham, Therese Nelson, Karl Kochendorfer, Ashley Hughes, Bhrandon Harris, Andrew Boyd

Abstract readReview
In one paragraph

Review in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

9 authors.

Shirley V BurtonDepartment of Biomedical and Health Information Sciences, University of Illinois Chicago, Chicago, Illinois, USA.ORCID 0000-0002-0833-0245
Annette L ValentaDepartment of Biomedical and Health Information Sciences, University of Illinois Chicago, Chicago, Illinois, USA.
Justin StarrenDepartment of Preventive Medicine, Northwestern University, Chicago, Illinois, USA.ORCID 0000-0002-5403-1115
Joanna AbrahamDepartment of Anesthesiology and Institute for Informatics, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0003-0235-1632
Therese NelsonDepartment of Preventive Medicine, Northwestern University, Chicago, Illinois, USA.
Karl KochendorferDepartment of Clinical Family Medicine, University of Illinois Chicago, Chicago, Illinois, USA.
Ashley HughesDepartment of Biomedical and Health Information Sciences, University of Illinois Chicago, Chicago, Illinois, USA.
Bhrandon HarrisDepartment of Family Medicine, University of Illinois Chicago, Chicago, Illinois, USA.
Andrew BoydDepartment of Biomedical and Health Information Sciences, University of Illinois Chicago, Chicago, Illinois, USA.

Funding

Improving Patient Reported Outcome Data for Research through Seamless Integration of the PROMIS Toolkit into EHR WorkflowsU01TR001806 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI STARREN, JUSTIN B. · 2016 to 2019
$6.3M
NCATS NIH HHS NCATU01TR001806NCATS NIH HHS U01 TR001806
6 · The paper itself

Abstract

objectiveTo determine factors that influence the adoption and use of patient-reported outcomes (PROs) in the electronic health record (EHR) among users. MATERIALS AND

methodsQ methodology, supported by focus groups, semistructured interviews, and a review of the literature was used for data collection about opinions on PROs in the EHR. An iterative thematic analysis resulted in 49 statements that study participants sorted, from most unimportant to most important, under the following condition of instruction: "What issues are most important or most unimportant to you when you think about the adoption and use of patient-reported outcomes within the electronic health record in routine clinical care?" Using purposive sampling, 50 participants were recruited to rank and sort the 49 statements online, using HTMLQ software. Principal component analysis and Varimax rotation were used for data analysis using the PQMethod software.

resultsParticipants were mostly physicians (24%) or physician/researchers (20%). Eight factors were identified. Factors included the ability of PROs in the EHR to enable: efficient and reliable use; care process improvement and accountability; effective and better symptom assessment; patient involvement for care quality; actionable and practical clinical decisions; graphical review and interpretation of results; use for holistic care planning to reflect patients' needs; and seamless use for all users. DISCUSSION: The success of PROs in the EHR in clinical settings is not dependent on a "one size fits all" strategy, demonstrated by the diversity of viewpoints identified in this study. A sociotechnical approach for implementing PROs in the EHR may help improve its success and sustainability.

conclusionsPROs in the EHR are most important to users when the technology is used to improve patient outcomes. Future research must focus on the impact of embedding this EHR functionality on care processes.

Indexed as

Electronic Health RecordsPatient Reported Outcome MeasuresComputersHealth PersonnelHumansQuality of Health Carepatient-centeredpatient-reported outcomesQ methodologysocio-technical

Identifiers

PMID34871423
PMCPMC8800531

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.