Evidence map›Paper›PMID 38748083›Full record

ArticleJournal of general internal medicine2024

Patient-Physician Sex Discordance and "Before Medically Advised" Discharge from Hospital: A Population-Based Retrospective Cohort Study.

Mayesha Khan, Ying Yu, Daniel Daly-Grafstein, Hiten Naik, Jason M Sutherland, Karen C Tran, Trudy Nasmith, Jennifer R Lyden, John A Staples

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Gender-Based Differences in Arthroplasty Utilization Across Two Tertiary Academic Centers.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
    Article
  2. "Before medically advised" departure from hospital and subsequent drug overdose: a population-based cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2024
    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.

Mayesha KhanDepartment of Medicine, University of British Columbia, Vancouver, BC, Canada.
Ying YuDepartment of Medicine, University of British Columbia, Vancouver, BC, Canada.
Daniel Daly-GrafsteinDepartment of Medicine, University of British Columbia, Vancouver, BC, Canada.
Hiten NaikDepartment of Medicine, University of British Columbia, Vancouver, BC, Canada.
Jason M SutherlandCentre for Health Services and Policy Research, University of British Columbia, Vancouver, BC, Canada.
Karen C TranDepartment of Medicine, University of British Columbia, Vancouver, BC, Canada.
Trudy NasmithDepartment of Medicine, University of British Columbia, Vancouver, BC, Canada.
Jennifer R LydenDivision of Hospital Medicine, Department of Medicine, Denver Health and Hospital Authority, Denver, CO, USA.
John A StaplesDepartment of Medicine, University of British Columbia, Vancouver, BC, Canada. john.staples@ubc.ca.ORCID 0000-0003-1397-1503

Funding

Institute of Population and Public Health PJT-180343Institute of Population and Public Health PJT-183955Michael Smith Health Research BC Health Professional-Investigator Award (no grant number)UBC Division of General Internal Medicine No grant numberVancouver Coastal Health Research Institute AWD-017961
6 · The paper itself

Abstract

backgroundPatient-physician sex discordance (when patient sex does not match physician sex) has been associated with reduced clinical rapport and adverse outcomes including post-operative mortality and unplanned hospital readmission. It remains unknown whether patient-physician sex discordance is associated with "before medically advised" hospital discharge (BMA discharge; commonly known as discharge "against medical advice").

objectiveTo evaluate whether patient-physician sex discordance is associated with BMA discharge.

designRetrospective cohort study using 15 years (2002-2017) of linked population-based administrative health data for all non-elective, non-obstetrical acute care hospitalizations from British Columbia, Canada.

participantsAll individuals with eligible hospitalizations during study interval. MAIN MEASURES: Exposure: patient-physician sex discordance. OUTCOMES: BMA discharge (primary), 30-day hospital readmission or death (secondary).

resultsWe identified 1,926,118 eligible index hospitalizations, 2.6% of which ended in BMA discharge. Among male patients, sex discordance was associated with BMA discharge (crude rate, 4.0% vs 2.9%; adjusted odds ratio [aOR] 1.08; 95%CI 1.03-1.14; p = 0.003). Among female patients, sex discordance was not associated with BMA discharge (crude rate, 2.0% vs 2.3%; aOR 1.02; 95%CI 0.96-1.08; p = 0.557). Compared to patient-physician sex discordance, younger patient age, prior substance use, and prior BMA discharge all had stronger associations with BMA discharge.

conclusionsPatient-physician sex discordance was associated with a small increase in BMA discharge among male patients. This finding may reflect communication gaps, differences in the care provided by male and female physicians, discriminatory attitudes among male patients, or residual confounding. Improved communication and better treatment of pain and opioid withdrawal may reduce BMA discharge.

Indexed as

Patient DischargePhysician-Patient RelationsAdolescentAdultAgedAged, 80 and overBritish ColumbiaCohort StudiesFemaleHumansMaleMiddle AgedPatient ReadmissionRetrospective StudiesSex FactorsYoung Adultdischarge before medically advisedhospitalization [MeSH]patient discharge [MeSH]patient-initiated dischargepatient-physician sex discordance.unplanned hospital readmission [MeSH]

Identifiers

PMID38748083
PMCPMC11535142

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.