Evidence map›Paper›PMID 34409879›Full record

ReviewEvaluation & the health professions2022

Interdisciplinary Health Care Evaluation Instruments: A Review of Psychometric Evidence.

Hosung Joel Kang, Cecilia Flores-Sandoval, Benson Law, Shannon Sibbald

Abstract readReview
In one paragraph

Review in Evaluation & the health professions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Hosung Joel KangFaculty of Health Sciences, University of Western Ontario, London, Ontario, Canada.
Cecilia Flores-SandovalFaculty of Health Sciences, University of Western Ontario, London, Ontario, Canada.ORCID 0000-0002-9778-1709
Benson LawFaculty of Health Sciences, University of Western Ontario, London, Ontario, Canada.
Shannon SibbaldFaculty of Health Sciences, University of Western Ontario, London, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Teamwork among health care professionals has been found to improve patient outcomes and reduce burnout. Surveys from individual team members are often used to measure the effectiveness of teamwork performance, as they provide an efficient way to capture various constructs of teamwork. This allows evaluators to better understand team functioning, areas of strength, and to identify potential areas for improvement. However, the majority of published surveys are yet to be validated. We conducted a review of psychometric evidence to identify instruments frequently used in practice and identified in the literature. The databases searched included MEDLINE, EMBASE, CINAHL, and PsycINFO. After excluding duplicates and irrelevant articles, 15 articles met the inclusion criteria for full assessment. Seven surveys were validated and most frequently identified in the literature. This review aims to facilitate the selection of instruments that are most appropriate for research and clinical practice. More research is required to develop surveys that better reflect the current reality of teamwork in our evolving health system, including a greater consideration for patient as team members. Additionally, more research is needed to encompass an increasing development of team assessment tools.

Indexed as

Interdisciplinary StudiesPatient Care TeamDelivery of Health CareHumansPsychometricsSurveys and Questionnairesevaluationinterdisciplinary collaborationreviewsurveysteamwork

Identifiers

PMID34409879
PMCPMC9446429

What OpenQuestion holds

Textmetadata
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.