Evidence map›Paper›PMID 30841926›Full record

ArticleImplementation science : IS2019

Impact of team configuration and team stability on primary care quality.

Sylvia J Hysong, Amber B Amspoker, Ashley M Hughes, Lechauncy Woodard, Frederick L Oswald, Laura A Petersen, Houston F Lester

Abstract read
In one paragraph

Article in Implementation science : IS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  4. Observational
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  12. Team is brain: leveraging EHR audit log data for new insights into acute care processes.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  13. Article
  14. Article
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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

7 authors.

Sylvia J HysongSection of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA. hysong@bcm.edu.ORCID 0000-0002-9063-5207
Amber B AmspokerSection of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Ashley M HughesDepartment of Biomedical and Health Information Sciences, University of Illinois Chicago, Chicago, IL, USA.
Lechauncy WoodardSection of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Frederick L OswaldDepartment of Psychology, Rice University, Houston, TX, USA.
Laura A PetersenSection of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Houston F LesterSection of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.

Funding

Impact of Team Configuration and Team Stability on Primary Care QualityR01HS025982 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI HYSONG, SYLVIA J. · 2018 to 2021
$1.6M
AHRQ HHS R01 HS025982
6 · The paper itself

Abstract

backgroundThe science of effective teams is well documented; far less is known, however, about how specific team configurations may impact primary care team effectiveness. Further, teams experiencing frequent personnel changes (perhaps as a consequence of poor implementation) may have difficulty delivering effective, continuous, well-coordinated care. This study aims to examine the extent to which primary care clinics in the Veterans Health Administration have implemented team configurations consistent with recommendations based on the Patient-Centered Medical Home model and the extent to which adherence to said recommendations, team stability, and role stability impact healthcare quality. Specifically, we expect to find better clinical outcomes in teams that adhere to recommended team configurations, teams whose membership and configuration are more stable over time, and teams whose clinical manager role is more stable over time. METHODS/

designWe will employ a combination of social network analysis and multilevel modeling to conduct a database review of variables extracted from the Veterans Health Administration's Team Assignments Report (TAR) (one of the largest, most diverse existing national samples of primary care teams (n DISCUSSION: We are unaware of other studies of healthcare teams that consider team size, composition, and configuration longitudinally or with sample sizes of this magnitude. Results from this study can inform primary care team implementation policy and practice in both private- and public-sector clinics, such that teams are configured optimally, with adequate staffing, and the right mix of roles within the team.

trial registrationNot applicable-this study does not involve interventions on human participants.

Indexed as

Clinical CompetenceHumansPatient Care TeamPatient-Centered CarePersonnel TurnoverPrimary Health CareQuality of Health CareSocial NetworkingUnited StatesUnited States Department of Veterans AffairsClinical performancePrimary care teamsQuality of careStaffing mixTurnover

Identifiers

PMID30841926
PMCPMC6404317

What OpenQuestion holds

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LicenceCC BY
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.