Cited by 2,321Health Education and ValidationPsychometric Methodologies and TestingHealth Systems, Economic Evaluations, Quality of Life

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Measurement in Medicine: A Practical Guide

de Vet, Henrica C. W., Terwee, Caroline B., Mokkink, Lidwine B., Knol, Dirk L.·2011·Cambridge University Press eBooks

DOI 10.1017/cbo9780511996214

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Abstract

The success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes. The book covers measurement theories, methods and criteria for evaluating and selecting instruments. It provides methods to assess measurement properties, such as reliability, validity and responsiveness, and interpret the results. Worked examples and end-of-chapter assignments use real data and well-known instruments to build your skills at implementation and interpretation through hands-on analysis of real-life cases. All data and solutions are available online. This is a perfect course book for students and a perfect companion for professionals/researchers in the medical and health sciences who care about the quality and meaning of the measurements they perform.

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BackgroundMethodInfluential
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Measurement properties of screening and diagnostic tools for autism spectrum adults of mean normal intelligence: A systematic review
Baghdadli, A., Russet, F., & Mottron, L. (2017) · European Psychiatry · doi:10.1016/j.eurpsy.2017.04.009 · Cited by 109
Which is the most useful patient-reported outcome in femoroacetabular impingement? Test–retest reliability of six questionnaires
Hinman, R. S., Dobson, F., Takla, A., O’Donnell, J., & Bennell, K. L. (2013) · British Journal of Sports Medicine · doi:10.1136/bjsports-2012-092072 · Cited by 95
Minimal clinically important difference in myasthenia gravis: Outcomes from a randomized trial
Katzberg, H. D., Barnett, C., Merkies, I. S. J., & Bril, V. (2013) · Muscle & Nerve · doi:10.1002/mus.23988 · Cited by 95
Systematic Review of Childhood Sedentary Behavior Questionnaires: What do We Know and What is Next?
Hidding, L. M., Altenburg, T. M., Mokkink, L. B., Terwee, C. B., & Chinapaw, M. J. M. (2016) · Sports Medicine · doi:10.1007/s40279-016-0610-1 · Cited by 104
Self-citation
Despite association, the acute:chronic work load ratio does not predict non-contact injury in elite footballers
Fanchini, M., Rampinini, E., Riggio, M., Coutts, A. J., Pecci, C., & McCall, A. (2018) · Science and Medicine in Football · doi:10.1080/24733938.2018.1429014 · Cited by 95
“Predictive validity of a marker is typically assessed with receiver operating characteristic (ROC) curve (De Vet et al. 2011).”
Background
Patient‐reported outcome measures ( PROMs): making sense of individual PROM scores and changes in PROM scores over time
van der Willik, E. M., Terwee, C. B., Bos, W. J. W., Hemmelder, M. H., Jager, K. J., Zoccali, C., Dekker, F. W., & Meuleman, Y. (2020) · Nephrology · doi:10.1111/nep.13843 · Cited by 100
Self-citation
Democratising Measurement: or Why Thick Concepts Call for Coproduction
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The measurement properties of the IKDC-subjective knee form
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Self-citation
The Functional Assessment of Cancer Therapy - General (FACT-G) is valid for monitoring quality of life in patients with non-Hodgkin lymphoma
Yost, K. J., Thompson, C. A., Eton, D. T., Allmer, C., Ehlers, S. L., Habermann, T. M., Shanafelt, T. D., Maurer, M. J., Slager, S. L., Link, B. K., et al. (2012) · Leukemia & lymphoma/Leukemia and lymphoma · doi:10.3109/10428194.2012.711830 · Cited by 94
Validation of the Bluebelle Wound Healing Questionnaire for assessment of surgical-site infection in closed primary wounds after hospital discharge
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“…Test – retest reliability was assessed with intraclass correlation coefficients (ICCs) as main outcome measure, since, unlike other correlation measures, ICCs can detect both random and systematic error (e.g., practice effects) when calculating consistency between assessments (de Vet et al., 2011).”
MethodResult
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Patient-reported outcome measures used in patients undergoing total knee arthroplasty
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A systematic review of measurement properties of patient-reported outcome measures for use in patients with foot or ankle diseases
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Predicting Response to Motor Control Exercises and Graded Activity for Patients With Low Back Pain: Preplanned Secondary Analysis of a Randomized Controlled Trial
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Effectiveness of intervention strategies exclusively targeting reductions in children’s sedentary time: a systematic review of the literature
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The Pediatric Eating Assessment Tool
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Incat disability score: A critical analysis of its measurement properties
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Outcomes of Moral Case Deliberation - the development of an evaluation instrument for clinical ethics support (the Euro-MCD)
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Physical activity surveillance in the European Union: reliability and validity of the European Health Interview Survey-Physical Activity Questionnaire (EHIS-PAQ)
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The COMiT’ID Study: Developing Core Outcome Domains Sets for Clinical Trials of Sound-, Psychology-, and Pharmacology-Based Interventions for Chronic Subjective Tinnitus in Adults
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Interpretation of patient-reported outcomes
Cappelleri, J. C., & Bushmakin, A. G. (2013) · Statistical Methods in Medical Research · doi:10.1177/0962280213476377 · Cited by 84
“Although the literature often interchanges several terms including clinical important change and clinical important difference, the former can be used to describe withinperson changes within a group while the later can be used to describe differences between groups, be they.(9,42) Clinical important difference can per…”
Background
Why a clinical trial is as good as its outcome measure: A framework for the selection and use of cognitive outcome measures for clinical trials of Alzheimer's disease
Jutten, R. J., Papp, K. V., Hendrix, S. B., Ellison, N., Langbaum, J. B. S., Donohue, M., Hassenstab, J. J., Maruff, P. T., Rentz, D. M., Harrison, J., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12773 · Cited by 84

Authors: de Vet, H. C. W., Terwee, C. B., Mokkink, L. B., & Knol, D. L.
Affiliations: Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
ORCID: Terwee, Caroline B.
Mokkink, Lidwine B.
Venue: Cambridge University Press eBooks
Publisher: Cambridge University Press
Published: 2011-08-11
DOI: 10.1017/cbo9780511996214
OpenAlex: W4240787498
Cited by: 2,321
References: 0
Citations by year: 2026: 184 · 2025: 274 · 2024: 245 · 2023: 237 · 2022: 268 · 2021: 275 · 2020: 205 · 2019: 147 · 2018: 117 · 2017: 111 · 2016: 84 · 2015: 70 · 2014: 53 · 2013: 36 · 2012: 14
FWCI: 45.18
Type: book
Language: en
Open access: closed
Licence: www.cambridge.org/core/terms (unspecified, 27 d)
Locations: Cambridge University Press eBooks (publishedVersion)
Topics: Health Sciences › Nursing › Research and Theory › Health Education and Validation
Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
Keywords: measurement instruments, instrument development, instrument evaluation, reliability statistics, validity, responsiveness, measurement properties, Apgar score, psychometrics, health measurement

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