Evidence map›Paper›PMID 37790221›Full record

ReviewFrontiers in psychology2023

Measuring what matters in healthcare: a practical guide to psychometric principles and instrument development.

Katina Swan, Renee Speyer, Martina Scharitzer, Daniele Farneti, Ted Brown, Virginie Woisard, Reinie Cordier

Abstract readReview
In one paragraph

Review in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 5 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

55 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. A meta-analysis assessing reliability of the Yale Food Addiction Scale: Implications for compulsive eating and obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Further Development and Validation of a Measure of Compassionate Healthcare in Action.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. [Development and reliability and validity testing of the Medication Literacy Scale for patients with chronic heart failure].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Article
  16. Mapping methods and tools for measuring patient experience in oncology settings: a scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Katina SwanCurtin School of Allied Health, Curtin University, Perth, WA, Australia.
Renee SpeyerCurtin School of Allied Health, Curtin University, Perth, WA, Australia.
Martina ScharitzerDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Daniele FarnetiAudiologic Phoniatric Service, Otorhinolaryngology Department, Infermi Hospital, AUSL Romagna, Rimini, Italy.
Ted BrownDepartment of Occupational Therapy, Faculty of Medicine, Nursing and Health Sciences, Monash University - Peninsula Campus, Frankston, VIC, Australia.
Virginie WoisardCentre Hospitalier Universitaire de Toulouse, Touloluse, France.
Reinie CordierCurtin School of Allied Health, Curtin University, Perth, WA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The provision of quality healthcare relies on scales and measures with robust evidence of their psychometric properties. Using measurement instruments with poor reliability, validity, or feasibility, or those that are not appropriate for the target diagnostic group or construct/dimension under consideration, may be unfavorable for patients, unproductive, and hinder empirical advancement. Resources from the COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN) group can assist in identifying and developing psychometrically sound measures. The COSMIN initiative is the only international, research-based practice taxonomy and methodological guidelines for measurement in healthcare. This manuscript aims to provide an accessible introduction to theories, principles and practices of psychometrics, instrument properties, and scale development, with applied examples from the COSMIN recommendations. It describes why measurement in healthcare is critical to good practice, explains the concepts of the latent variable and hypothetical construct and their importance in healthcare assessments, explores issues of flawed measurement and briefly explains key theories relevant to psychometrics. The paper also outlines a ten-step process to develop and validate a new measurement instrument, with examples drawn from a recently developed visuoperceptual measure for analysis of disordered swallowing to demonstrate key concepts and provides a guide for understanding properties of and terminology related to measurement instruments. This manuscript serves as a resource for healthcare clinicians, educators, and researchers who seek to develop and validate new measurement instruments or improve the properties of existing ones. It highlights the importance of using psychometrically sound measurement instruments to ensure high-quality healthcare assessments.

Indexed as

COSMINinstrument developmentinstrumentsmeasurementpsychometricsvalidation

Identifiers

PMID37790221
PMCPMC10543275

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.