Evidence map›Paper›PMID 37604678›Full record

ArticleBMJ quality & safety2024

Patient and family contributions to improve the diagnostic process through the OurDX electronic health record tool: a mixed method analysis.

Sigall K Bell, Kendall Harcourt, Joe Dong, Catherine DesRoches, Nicholas J Hart, Stephen K Liu, Long Ngo, Eric J Thomas, Fabienne C Bourgeois

Abstract read
In one paragraph

Article in BMJ quality & safety, 2024. 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.

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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

9 authors.

Sigall K BellDepartment of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA sbell1@bidmc.harvard.edu.
Kendall HarcourtDepartment of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.ORCID 0000-0001-7185-014X
Joe DongDepartment of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Catherine DesRochesDepartment of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Nicholas J HartDepartment of Pediatrics, Boston Children's Hospital, Boston, Massachusetts, USA.
Stephen K LiuDepartment of Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
Long NgoDepartment of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Eric J ThomasDepartment of Internal Medicine, University of Texas John P and Katherine G McGovern Medical School, Houston, Texas, USA.ORCID 0000-0002-3656-9181
Fabienne C BourgeoisDepartment of Medicine, Harvard Medical School, Boston, Massachusetts, USA.

Funding

Answering the call to engage patients and families in the diagnostic process: A new patient-centered approach using health information transparency to identify diagnostic breakdowns in ambulatory careR01HS027367 · AHRQ · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BELL, SIGALL · 2019 to 2021
$1.5M
AHRQ HHS R01 HS027367
6 · The paper itself

Abstract

backgroundAccurate and timely diagnosis relies on sharing perspectives among team members and avoiding information asymmetries. Patients/Families hold unique diagnostic process (DxP) information, including knowledge of diagnostic safety blindspots-information that patients/families know, but may be invisible to clinicians. To improve information sharing, we co-developed with patients/families an online tool called 'Our Diagnosis (OurDX)'. We aimed to characterise patient/family contributions in OurDX and how they differed between individuals with and without diagnostic concerns.

methodWe implemented OurDX in two academic organisations serving patients/families living with chronic conditions in three subspecialty clinics and one primary care clinic. Prior to each visit, patients/families were invited to contribute visit priorities, recent histories and potential diagnostic concerns. Responses were available in the electronic health record and could be incorporated by clinicians into visit notes. We randomly sampled OurDX reports with and without diagnostic concerns for chart review and used inductive and deductive qualitative analysis to assess patient/family contributions.

results7075 (39%) OurDX reports were submitted at 18 129 paediatric subspecialty clinic visits and 460 (65%) reports were submitted among 706 eligible adult primary care visits. Qualitative analysis of OurDX reports in the chart review sample (n=450) revealed that participants contributed DxP information across 10 categories, most commonly: clinical symptoms/medical history (82%), tests/referrals (54%) and diagnosis/next steps (51%). Participants with diagnostic concerns were more likely to contribute information on DxP risks including access barriers, recent visits for the same problem, problems with tests/referrals or care coordination and communication breakdowns, some of which may represent diagnostic blindspots.

conclusionPartnering with patients and families living with chronic conditions through OurDX may help clinicians gain a broader perspective of the DxP, including unique information to coproduce diagnostic safety.

Indexed as

Electronic Health RecordsAdolescentAdultChildChild, PreschoolChronic DiseaseFamilyFemaleHumansMaleMiddle AgedPatient Participationcommunicationdiagnostic errorshealthcare quality improvementpatient-centred carepatient safety

Identifiers

PMID37604678
PMCPMC10879445

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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.