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The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.

Patient-reported outcome measures in arthroplasty registries: Report of the Patient-Reported Outcome Measures Working Group of the International Society of Arthroplasty RegistriesPart II. Recommendations for selection, administration, and analysis

Open access
Rolfson, Ola, Bohm, Eric, Franklin, Patricia, Lyman, Stephen, Denissen, Geke, Dawson, Jill, Dunn, Jennifer, Eresian Chenok, Kate, Dunbar, Michael, Overgaard, Søren, Garellick, Göran, Lübbeke, Anne, Patient-Reported Outcome Measures Working Group of the International Society of Arthroplasty Registries·2016·Acta Orthopaedica

Abstract

- The International Society of Arthroplasty Registries (ISAR) Patient-Reported Outcome Measures (PROMs) Working Group have evaluated and recommended best practices in the selection, administration, and interpretation of PROMs for hip and knee arthroplasty registries. The 2 generic PROMs in common use are the Short Form health surveys (SF-36 or SF-12) and EuroQol 5-dimension (EQ-5D). The Working Group recommends that registries should choose specific PROMs that have been appropriately developed with good measurement properties for arthroplasty patients. The Working Group recommend the use of a 1-item pain question ("During the past 4 weeks, how would you describe the pain you usually have in your [right/left] [hip/knee]?"; response: none, very mild, mild, moderate, or severe) and a single-item satisfaction outcome ("How satisfied are you with your [right/left] [hip/knee] replacement?"; response: very unsatisfied, dissatisfied, neutral, satisfied, or very satisfied). Survey logistics include patient instructions, paper- and electronic-based data collection, reminders for follow-up, centralized as opposed to hospital-based follow-up, sample size, patient- or joint-specific evaluation, collection intervals, frequency of response, missing values, and factors in establishing a PROMs registry program. The Working Group recommends including age, sex, diagnosis at joint, general health status preoperatively, and joint pain and function score in case-mix adjustment models. Interpretation and statistical analysis should consider the absolute level of pain, function, and general health status as well as improvement, missing data, approaches to analysis and case-mix adjustment, minimal clinically important difference, and minimal detectable change. The Working Group recommends data collection immediately before and 1 year after surgery, a threshold of 60% for acceptable frequency of response, documentation of non-responders, and documentation of incomplete or missing data.

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Metadata

Authors
Rolfson, O., Bohm, E., Franklin, P., Lyman, S., Denissen, G., Dawson, J., Dunn, J., Eresian Chenok, K., Dunbar, M., Overgaard, S., Garellick, G., Lübbeke, A., & Patient-Reported Outcome Measures Working Group of the International Society of Arthroplasty Registries
Venue
Acta Orthopaedica
Published
2016-05-26
Volume
87
Issue
sup1
Pages
9-23
ISSN
  • 1745-3674 (ISSN-L)
  • 1745-3682
OpenAlex
W2404339163
Cited by
323
References
86
FWCI
27.22
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Patient-reported outcome measures in arthroplasty registries: Report of the Patient-Reported Outcome Measures Working Group of the International Society of Arthroplasty RegistriesPart II. Recommendations for selection, administration, and analysis. https://app.cochat.ai/papers/10.1080/17453674.2016.1181816
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Rolfson, O., Bohm, E., Franklin, P., Lyman, S., Denissen, G., Dawson, J., Dunn, J., Eresian Chenok, K., Dunbar, M., Overgaard, S., Garellick, G., Lübbeke, A., & Patient-Reported Outcome Measures Working Group of the International Society of Arthroplasty Registries. (2016). Patient-reported outcome measures in arthroplasty registries: Report of the Patient-Reported Outcome Measures Working Group of the International Society of Arthroplasty RegistriesPart II. Recommendations for selection, administration, and analysis. Acta Orthopaedica. https://doi.org/10.1080/17453674.2016.1181816

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.