Effects of patient-reported outcome assessment order.


Journal

Clinical trials (London, England)
ISSN: 1740-7753
Titre abrégé: Clin Trials
Pays: England
ID NLM: 101197451

Informations de publication

Date de publication:
06 2022
Historique:
pubmed: 29 1 2022
medline: 18 6 2022
entrez: 28 1 2022
Statut: ppublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 35088616
doi: 10.1177/17407745211073788
pmc: PMC9232855
mid: NIHMS1767834
doi:

Types de publication

Journal Article Randomized Controlled Trial Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

307-315

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA015083
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA154537
Pays : United States
Organisme : NCI NIH HHS
ID : R37 CA214785
Pays : United States

Références

J Patient Rep Outcomes. 2020 Dec 10;4(1):106
pubmed: 33305344
Med Care. 2003 Jul;41(7):777-90
pubmed: 12835602
Eur J Oral Sci. 2011 Feb;119(1):69-72
pubmed: 21244514
Osteoarthritis Cartilage. 2008 Apr;16(4):429-35
pubmed: 17920302
Health Qual Life Outcomes. 2005 May 31;3:37
pubmed: 15927054
J Natl Cancer Inst. 2014 Sep 29;106(9):
pubmed: 25265940
Value Health. 2019 May;22(5):537-544
pubmed: 31104731
Qual Life Res. 2004 Sep;13(7):1217-23
pubmed: 15473500
J Clin Epidemiol. 2010 Nov;63(11):1179-94
pubmed: 20685078
JAMA Oncol. 2015 Nov;1(8):1051-9
pubmed: 26270597
Qual Life Res. 2005 Mar;14(2):493-500
pubmed: 15892438
Psychol Med. 1992 Feb;22(1):197-202
pubmed: 1574556
J Patient Rep Outcomes. 2021 Sep 17;5(1):95
pubmed: 34533663
Am J Clin Oncol. 1982 Dec;5(6):649-55
pubmed: 7165009
Psychosomatics. 1999 Jul-Aug;40(4):309-13
pubmed: 10402876
Qual Life Res. 2007 Dec;16(10):1615-26
pubmed: 17922221
J Health Serv Res Policy. 1996 Jan;1(1):20-7
pubmed: 10180841

Auteurs

Paul J Novotny (PJ)

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

Amylou C Dueck (AC)

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

Daniel Satele (D)

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

Marlene H Frost (MH)

Women's Cancer Program, Mayo Clinic, Rochester, MN, USA.

Timothy J Beebe (TJ)

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

Kathleen J Yost (KJ)

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

Minji K Lee (MK)

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

David T Eton (DT)

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

Susan Yount (S)

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

David Cella (D)

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

Tito R Mendoza (TR)

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

Charles S Cleeland (CS)

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

Victoria Blinder (V)

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

Ethan Basch (E)

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

Jeff A Sloan (JA)

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

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Classifications MeSH