ArticleClinical orthopaedics and related research2013
Statistical considerations in the psychometric validation of outcome measures.
Article in Clinical orthopaedics and related research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Uncovering potential interviewer-related biases in self-efficacy assessment: a study among chronic disease patients.BMC psychology · 2025Article
- Validation of a modified Berger HIV stigma scale for use among patients with hepatitis C virus (HCV) infection.PloS one · 2020Article
- The Development and Validity of the Adult Burn Outcome Questionnaire Short Form.Journal of burn care & research : official publication of the American Burn Association · 2018Article
- Construction and Validation of a Novel "Pruritus Impact Scale" (PIS) for Assessment of Chronic Pruritus.Indian dermatology online journalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is imperative that each instrument used in orthopaedics is free of biases leading to inaccurate estimates of treatment effects. WHERE ARE WE NOW?: Many patient-derived outcome instruments have been developed and tested through the application of the standard assessments that form the basis of classical test theory: validity, reliability, and responsiveness. These assessments determine if the instrument reliably measures what it is intended to measure, and if it captures differences among groups of patients or changes over time. WHERE DO WE NEED TO GO?: Thorough evaluation of the outcome instruments used in orthopaedics is a critical prerequisite for the continued improvement of effective patient care. Additional steps of psychometric testing that are sometimes overlooked include testing for differential item functioning (DIF) and the effects of the mode of administration of the outcome instrument. The use of suitable approaches to test for these potential sources of bias would facilitate the development of more robust outcome assessment in research and clinical practice. HOW DO WE GET THERE?: Testing for DIF, including the effects of mode of administration, may be performed using several analytical approaches. This will allow optimal application of each outcome instrument with respect to patient characteristics, time and mode of the administration, and modification, as necessary.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.