Effects of patient-reported outcome assessment order

Author:

Novotny Paul J1ORCID,Dueck Amylou C2ORCID,Satele Daniel1,Frost Marlene H3,Beebe Timothy J4,Yost Kathleen J1,Lee Minji K1,Eton David T1,Yount Susan5,Cella David5,Mendoza Tito R6,Cleeland Charles S6,Blinder Victoria7,Basch Ethan8,Sloan Jeff A1

Affiliation:

1. Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA

2. Department of Quantitative Health Sciences, Mayo Clinic, Scottsdale, AZ, USA

3. Women’s Cancer Program, Mayo Clinic, Rochester, MN, USA

4. Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA

5. Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA

6. Department of Symptom Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA

7. Memorial Sloan Kettering Cancer Center, New York, NY, USA

8. UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA

Abstract

Background In clinical trials and clinical practice, patient-reported outcomes are almost always assessed using multiple patient-reported outcome measures at the same time. This raises concerns about whether patient responses are affected by the order in which the patient-reported outcome measures are administered. Methods This questionnaire-based study of order effects included adult cancer patients from five cancer centers. Patients were randomly assigned to complete questionnaires via paper booklets, interactive voice response system, or tablet web survey. Linear Analogue Self-Assessment, Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events, and Patient-Reported Outcomes Measurement Information System assessment tools were each used to measure general health, physical function, social function, emotional distress/anxiety, emotional distress/depression, fatigue, sleep, and pain. The order in which the three tools, and domains within tools, were presented to patients was randomized. Rates of missing data, scale scores, and Cronbach’s alpha coefficients were compared by the order in which they were assessed. Analyses included Cochran–Armitage trend tests and mixed models adjusted for performance score, age, sex, cancer type, and curative intent. Results A total of 1830 patients provided baseline patient-reported outcome assessments. There were no significant trends in rates of missing values by whether a scale was assessed earlier or later. The largest order effect for scale scores was due to a large mean score at one assessment time point. The largest difference in Cronbach’s alpha between the versions for the Patient-Reported Outcomes Measurement Information System scales was 0.106. Conclusion The well-being of a cancer patient has many different aspects such as pain, fatigue, depression, and anxiety. These are assessed using a variety of surveys often collected at the same time. This study shows that the order in which the different aspects are collected from the patient is not important.

Funder

National Cancer Institute

Publisher

SAGE Publications

Subject

Pharmacology,General Medicine

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