Evidence map›Paper›PMID 35611564›Full record

ArticleMedical education2022

Prescribing decision making by medical residents on night shifts: A qualitative study.

Julie C Lauffenburger, Maxwell D Coll, Erin Kim, Ted Robertson, Rebecca Oran, Nancy Haff, Kaitlin Hanken, Jerry Avorn, Niteesh K Choudhry

Open access · greenAbstract read
In one paragraph

Article in Medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.0field-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

5 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Julie C LauffenburgerCenter for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-4940-4140
Maxwell D CollDepartment of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-2507-7587
Erin KimCenter for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-7597-2432
Ted Robertsonideas42, New York, New York, USA.ORCID 0000-0003-4427-062X
Rebecca Oranideas42, New York, New York, USA.ORCID 0000-0002-0368-7982
Nancy HaffCenter for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-8156-7137
Kaitlin HankenCenter for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-9746-3997
Jerry AvornDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-0255-2346
Niteesh K ChoudhryCenter for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-7719-2248
Brigham and Women's Hospital · USIdeas42 · US

Funding

The Roybal Center for TherapeuticOptimization using BehavioralScienceP30AG064199 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Julie Christine Lauffenburger · 2019 to 2026
$8.3M
Development of a novel medication adherability tool to improve cardiovascular disease managementK01HL141538 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LAUFFENBURGER, JULIE CHRISTINE · 2018 to 2022
$718k
NHLBI NIH HHS K01 HL141538NIA NIH HHS P30 AG064199
6 · The paper itself

Abstract

introductionPrescribing of medications with well-known adverse effects, like antipsychotics or benzodiazepines, during hospitalisation is extremely common despite guideline recommendations against their use. Barriers to optimal prescribing, including perceived pressure from allied health professionals and fatigue, may be particularly pronounced for less experienced medical residents, especially during night shifts when these medications are often prescribed. Under these circumstances, physicians may be more likely to use 'quick', often referred to as System 1 choices, rather than 'considered' System 2 strategies for decisions. Understanding how medical residents use, these different cognitive approaches could help develop interventions to improve prescribing.

methodsTo understand decision-making and contextual contributors that influence suboptimal prescribing during night coverage by medical residents, we conducted semi-structured qualitative interviews with residents in general medicine inpatient settings. The interviews elicited perspectives on shift routines, stressful situations, factors influencing prescribing decision making and hypothetical measures that could improve prescribing. Interviews were audio-recorded and transcribed. Data were analysed using codes developed by the team to generate themes using immersion/crystallisation approaches.

resultsWe conducted interviews with 21 medical residents; 47% were female, 43% were White, and 43% were Asian. We identified five key themes: (i) time pressures affecting prescribing decisions, (ii) fears of judgement by senior physicians and peers and being responsible for patient outcomes, (iii) perceived pressure from nursing staff, amplified by nurses' greater experience, (iv) clinical acuity as a key factor influencing prescribing, and (v) strategies to improve communication between members of the care team, like ensuring adequate hand-off by day teams.

conclusionMedical residents highlighted numerous contextual factors that promote quick thinking rather than slower thinking when prescribing on night shifts, particularly time constraints, perceived pressure and patient clinical acuity. Interventions aimed at reducing prescribing should address how to manage stress and perceived pressure in decision making.

Indexed as

Internship and ResidencyPhysiciansCommunicationDecision MakingFemaleHumansMaleQualitative Research

Identifiers

PMID35611564
PMCPMC9474569
OpenAlexW4281489740

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.