Evidence map›Paper›PMID 33215071›Full record

ArticleJAMIA open2020

Patient-centered care and the electronic health record: exploring functionality and gaps.

Jorie M Butler, Bryan Gibson, Lacey Lewis, Gayle Reiber, Heidi Kramer, Rand Rupper, Jennifer Herout, Brenna Long, David Massaro, Jonathan Nebeker

Open access · goldAbstract read
In one paragraph

Article in JAMIA open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

24 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Observational
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

10 authors at 3 institutions in 1 country.

Jorie M ButlerGeriatric Research and Clinical Center (GRECC), George E. Wahlen Veteran Affairs Medical Center, Salt Lake City, Utah, USA.
Bryan GibsonDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Lacey LewisInformatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center of Innovation, George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, Utah, USA.
Gayle ReiberInformatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center of Innovation, George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, Utah, USA.
Heidi KramerDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Rand RupperGeriatric Research and Clinical Center (GRECC), George E. Wahlen Veteran Affairs Medical Center, Salt Lake City, Utah, USA.
Jennifer HeroutDepartment of Veterans Affairs Office of Health Informatics, Washington, District of Columbia, USA.
Brenna LongDepartment of Veterans Affairs Office of Health Informatics, Washington, District of Columbia, USA.
David MassaroDepartment of Veterans Affairs Office of Health Informatics, Washington, District of Columbia, USA.
Jonathan NebekerGeriatric Research and Clinical Center (GRECC), George E. Wahlen Veteran Affairs Medical Center, Salt Lake City, Utah, USA.
George E. Wahlen Department of VA Medical Center · USUniversity of Utah · USGeriatric Research Education and Clinical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHealthcare systems have adopted electronic health records (EHRs) to support clinical care. Providing patient-centered care (PCC) is a goal of many healthcare systems. In this study, we sought to explore how existing EHR systems support PCC; defined as understanding the patient as a whole person, building relational connections between the clinician and patient, and supporting patients in health self-management. MATERIALS AND

methodsWe assessed availability of EHR functions consistent with providing PCC including patient goals and preferences, integrated care plans, and contextual and patient-generated data. We surveyed and then interviewed technical representatives and expert clinical users of 6 leading EHR systems. Questions focused on the availability of specific data and functions related to PCC (for technical representatives) and the clinical usefulness of PCC functions (for clinicians) in their EHR.

resultsTechnical representatives ( DISCUSSION AND

conclusionThere are current gaps in PCC functionality in EHRs and opportunities to support the practice of PCC through EHR redesign.

Indexed as

electronic health recordspatient-centered carepatient-generated data

Identifiers

PMID33215071
PMCPMC7660957
OpenAlexW3095958763

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.