Evidence map›Paper›PMID 30158825›Full record

ReviewHealth services insights2018

Measuring Team Effectiveness in the Health Care Setting: An Inventory of Survey Tools.

Bita A Kash, Ohbet Cheon, Nicholas M Halzack, Thomas R Miller

Abstract readReview
In one paragraph

Review in Health services insights, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Drivers of Hematology and Oncology Care Team Staff Satisfaction.Journal of the advanced practitioner in oncology · 2025
    Article
  3. Development of a Brief, Positively Framed Care Team Experience Measure.Clinical orthopaedics and related research · 2025
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  14. An analysis of movement patterns in mass casualty incident simulations.Advances in simulation (London, England) · 2020
    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

4 authors.

Bita A KashDepartment of Health Policy and Management, School of Public Health, Texas A&M University, College Station, TX, USA.
Ohbet CheonCenter for Outcomes Research, Houston Methodist Research Institute, Houston, TX, USA.ORCID https://orcid.org/0000-0003-2116-201X
Nicholas M HalzackHealth Policy & Reimbursement, Roche Diagnostics Corporation, Washington, DC, USA.
Thomas R MillerHealth Policy Research, American Society of Anesthesiologists, Schaumburg, IL, USA.ORCID https://orcid.org/0000-0002-5948-5589

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGuidance for measuring team effectiveness in dynamic clinical settings is necessary; however, there are no consensus strategies to help health care organizations achieve optimal teamwork. This systematic review aims to identify validated survey instruments of team effectiveness by clinical settings.

methodsPubMed, MEDLINE, and ISI Web of Knowledge were searched for team effectiveness surveys deployed from 1990 to 2016. Validity and reliability were evaluated using 4 psychometric properties: interrater agreement, internal consistency, content validity, and structural integrity. Two conceptual frameworks, the Donabedian model and the Command Team Effectiveness model, assess conceptual dimensions most measured in each health care setting.

resultsThe 22 articles focused on surgical, primary care, and other health care settings. Few instruments report the required psychometric properties or feature non-self-reported outcomes. The major conceptual dimensions measured in the survey instruments differed across settings. Team cohesion and overall perceived team effectiveness can be found in all the team effectiveness measurement tools regardless of the health care setting. We found that surgical settings have distinctive conditions for measuring team effectiveness relative to primary or ambulatory care. DISCUSSION: Further development of setting-specific team effectiveness measurement tools can help further enhance continuous quality improvements and clinical outcomes in the future.

Indexed as

health care quality assessmentsurveyssystematic reviewTeam effectiveness

Identifiers

PMID30158825
PMCPMC6109848

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.