Evidence map›Paper›PMID 31688032›Full record

ArticleAcademic medicine : journal of the Association of American Medical Colleges2020

How Do Attending Physicians Prepare Residents to Deliver High-Value, Cost-Conscious Care?

Lorette A Stammen, Erik W Driessen, Celine C V I Notermans, Fedde Scheele, Laurents P S Stassen, Renée E Stalmeijer

Abstract read
In one paragraph

Article in Academic medicine : journal of the Association of American Medical Colleges, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A Social Network Analysis of Influences on Residents' Value-Based Decisions.Academic medicine : journal of the Association of American Medical Colleges · 2023
    Article
  3. Article
  4. Review
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

6 authors.

Lorette A StammenL.A. Stammen is a family medicine resident and PhD candidate in the field of medical education, School of Health Professions Education, Department of Educational Research and Development, Maastricht University, Maastricht, Limburg, the Netherlands; ORCID: https://orcid.org/0000-0003-1528-546X. E.W. Driessen is professor of medical education, Department of Educational Research and Development, Maastricht University, Maastricht, Limburg, the Netherlands; ORCID: https://orcid.org/0000-0001-8115-261X. C.C.V.I. Notermans is a master student in the medicine program, Faculty of Health, Medicine and Life Sciences, Department of Educational Research and Development, Maastricht University, Maastricht, Limburg, the Netherlands. F. Scheele is professor of health systems innovation and medical education, Athena Institute, VU School of Medical Sciences, Amsterdam UMC, and gynecologist at the OLVG Hospital Amsterdam, Amsterdam, the Netherlands; ORCID: https://orcid.org/0000-0001-9593-257X. L.P.S. Stassen is professor of medical education and gastrointestinal surgeon, Department of Surgery, Maastricht University Medical Center, Maastricht, the Netherlands; ORCID: https://orcid.org/0000-0002-3383-9035. R.E. Stalmeijer is assistant professor and qualitative researcher, School of Health Professions Education, Department of Educational Research and Development, Maastricht University, Maastricht, Limburg, the Netherlands; ORCID: https://orcid.org/0000-0001-8690-5326.
Erik W Driessen
Celine C V I Notermans
Fedde Scheele
Laurents P S Stassen
Renée E Stalmeijer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAn estimated 20% of health care expenditures are wasteful. Educational interventions aimed at reducing waste by delivering high-value, cost-conscious care (HV3C) often focus on the role of the physician. This study sought to understand how attending physicians, who have a central role in the workplace, prepare residents to provide HV3C.

methodResearchers from Maastricht University in Maastricht, the Netherlands, conducted semistructured interviews between September 2016 and August 2017 with 12 attending physicians who supervise residents in the workplace. Participants were purposefully sampled from 5 institutions throughout the Netherlands to include surgical and nonsurgical attending physicians and hospital- and nonhospital-based physicians. Data collection and analysis were iterative, using principles of grounded theory.

resultsThe attending physician's approach to providing HV3C was an important factor in preparing residents in the workplace. Three differences became apparent: priority of HV3C training, feedback on HV3C, and obstacles to HV3C delivery. Results indicate that attending physicians use 3 teaching methods to teach HV3C delivery: Socratic questioning, role modeling, and setting limits. Training was often implicit and ad hoc.

conclusionsHow attending physicians deal with HV3C themselves influences how they prepare residents in the workplace. To optimize resident training, it may be important to create a supportive environment for HV3C delivery and training. Delivery could be supported by making HV3C a shared goal for attending physicians and residents, thereby providing insight into clinical practice behavior and minimizing the influence of obstacles. Training could be optimized by supporting a variety of teaching methods suitable for daily teaching to stimulate continuous learning in residents.

Indexed as

Education, Medical, GraduateHealth Care CostsHumansInternship and ResidencyInterviews as TopicNetherlandsPhysiciansProfessional CompetenceQualitative Research

Identifiers

PMID31688032
PMCPMC7185052

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.