Evidence map›Paper›PMID 39126155›Full record

SynthesisInternational journal for quality in health care : journal of the International Society for Quality in Health Care2024

Physicians' perspectives on clinical indicators: systematic review and thematic synthesis.

Ana Renker-Darby, Shanthi Ameratunga, Peter Jones, Corina Grey, Matire Harwood, Roshini Peiris-John, Timothy Tenbensel, Sue Wells, Vanessa Selak

Abstract readSystematic Review
In one paragraph

Synthesis in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

9 authors.

Ana Renker-DarbyEpidemiology & Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
Shanthi AmeratungaEpidemiology & Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
Peter JonesAdult Emergency Department, Auckland City Hospital, Private Bag 92024, Auckland 1142, New Zealand.
Corina GreyEpidemiology & Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
Matire HarwoodGeneral Practice and Primary Health Care, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
Roshini Peiris-JohnEpidemiology & Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
Timothy TenbenselHealth Systems, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.ORCID 0000-0001-7832-3318
Sue WellsGeneral Practice and Primary Health Care, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
Vanessa SelakEpidemiology & Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.ORCID 0000-0002-9824-8674

Funding

University of Auckland Faculty of Medical and Health Sciences Research De
6 · The paper itself

Abstract

Clinical indicators are increasingly used to improve the quality of care, particularly with the emergence of 'big data', but physicians' views regarding their utility in practice is unclear. We reviewed the published literature investigating physicians' perspectives, focusing on the following objectives in relation to quality improvement: (1) the role of clinical indicators, (2) what is needed to strengthen them, (3) their key attributes, and (4) the best tool(s) for assessing their quality. A systematic literature search (up to November 2022) was carried out using: Medline, EMBASE, Scopus, CINAHL, PsycInfo, and Web of Science. Articles that met all of the following inclusion criteria were included: reported on physicians' perspectives on clinical indicators and/or tools for assessing the quality of clinical indicators, addressing at least one of the four review objectives; the clinical indicators related to care at least partially delivered by physicians; and published in a peer-reviewed journal. Data extracted from eligible studies were appraised using the Critical Appraisal Skills Programme tool. A thematic synthesis of data was conducted using NVivo software. Descriptive themes were inductively derived from codes, which were grouped into analytical themes answering each objective. A total of 14 studies were included, with 17 analytical themes identified for objectives 1-3 and no data identified for objective 4. Results showed that indicators can play an important motivating role for physicians to improve the quality of care and show where changes need to be made. For indicators to be effective, physicians should be involved in indicator development, recording relevant data should be straightforward, indicator feedback must be meaningful to physicians, and clinical teams need to be adequately resourced to act on findings. Effective indicators need to focus on the most important areas for quality improvement, be consistent with good medical care, and measure aspects of care within the control of physicians. Studies cautioned against using indicators primarily as punitive measures, and there were concerns that an overreliance on indicators can lead to narrowed perspective of quality of care. This review identifies facilitators and barriers to meaningfully engaging physicians in developing and using clinical indicators to improve the quality of healthcare.

Indexed as

PhysiciansQuality ImprovementQuality Indicators, Health CareAttitude of Health PersonnelHumansQuality of Health Careclinical indicatorsphysician perspectivessystematic review

Identifiers

PMID39126155
PMCPMC11369353

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.