Evidence map›Paper›PMID 36973573›Full record

ArticleJournal of general internal medicine2023

Inpatient Understanding of Their Care Team and Receipt of Mixed Messages: a Two-Site Cross-Sectional Study.

Mariam Krikorian Atkinson, Mohammed Wazir, Ebrahim Barkoudah, Hassan Khalil, Sampathkumar Mani, James D Harrison, Erin Yao-Cohen, Rachel Weiss, C To, Elizabeth A Bambury and 6 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of general internal medicine, 2023. 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. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Mariam Krikorian AtkinsonDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA. mkrikorian@hsph.harvard.edu.ORCID http://orcid.org/0000-0001-7603-0757
Mohammed WazirHarvard Medical School, Boston, MA, USA.
Ebrahim BarkoudahHarvard Medical School, Boston, MA, USA.
Hassan KhalilHarvard Medical School, Boston, MA, USA.
Sampathkumar ManiHarvard Medical School, Boston, MA, USA.
James D HarrisonDivision of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA.
Erin Yao-CohenDivision of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA.
Rachel WeissDepartment of General Internal Medicine, UVA Health, Charlottesville, VA, USA.
C ToDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Elizabeth A BamburyDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jenica CiminoDivision of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA.
Rosa MoraDivision of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA.
Johsias MaruDivision of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA.
Nicole CuratolaDivision of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA.
Nathan JuergensDivision of Hospital Medicine, University of California, San Francisco, San Francisco, CA, USA.
Jeffrey L SchnipperHarvard Medical School, Boston, MA, USA.

Funding

Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
Placing patient preferences at the center of care plans for older adults transitioning from the hospital to a skilled nursing facilityK01AG073533 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HARRISON, JAMES DAVID · 2021 to 2025
$660k
NCATS NIH HHS KL2 TR001870NIA NIH HHS K01 AG073533
6 · The paper itself

Abstract

backgroundPatient understanding of their care, supported by physician involvement and consistent communication, is key to positive health outcomes. However, patient and care team characteristics can hinder this understanding.

objectiveWe aimed to assess inpatients' understanding of their care and their perceived receipt of mixed messages, as well as the associated patient, care team, and hospitalization characteristics.

designWe administered a 30-item survey to inpatients between February 2020 and November 2021 and incorporated other hospitalization data from patients' health records.

participantsRandomly selected inpatients at two urban academic hospitals in the USA who were (1) admitted to general medicine services and (2) on or past the third day of their hospitalization. MAIN MEASURES: Outcome measures include (1) knowledge of main doctor and (2) frequency of mixed messages. Potential predictors included mean notes per day, number of consultants involved in the patient's care, number of unit transfers, number of attending physicians, length of stay, age, sex, insurance type, and primary race. KEY

resultsA total of 172 patients participated in our survey. Most patients were unaware of their main doctor, an issue related to more daily interactions with care team members. Twenty-three percent of patients reported receiving mixed messages at least sometimes, most often between doctors on the primary team and consulting doctors. However, the likelihood of receiving mixed messages decreased with more daily interactions with care team members.

conclusionsPatients were often unaware of their main doctor, and almost a quarter perceived receiving mixed messages about their care. Future research should examine patients' understanding of different aspects of their care, and the nature of interactions that might improve clarity around who's in charge while simultaneously reducing the receipt of mixed messages.

Indexed as

InpatientsPhysiciansCross-Sectional StudiesHospitalizationHumansPatient Care Teamcare teaminpatient carelength of staymixed messagespatient understanding

Identifiers

PMID36973573
PMCPMC10042424

What OpenQuestion holds

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Registered trials

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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.