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A Modular Health-Related Quality of Life Instrument for Electronic Assessment and Treatment Monitoring: Web-Based Development and Psychometric Validation of Core Thrive Items.

作者信息

Wicks Paul, McCaffrey Stacey, Goodwin Kim, Black Ryan, Hoole Michael, Heywood James

机构信息

PatientsLikeMe, Cambridge, MA, United States.

出版信息

J Med Internet Res. 2019 Jan 25;21(1):e12075. doi: 10.2196/12075.


DOI:10.2196/12075
PMID:30681962
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6367664/
Abstract

BACKGROUND: Patient-reported outcome (PRO) measures describe natural history, manage disease, and measure the effects of interventions in trials. Patients themselves increasingly use Web-based PRO tools to track their progress, share their data, and even self-experiment. However, existing PROs have limitations such as being: designed for paper (not screens), long and burdensome, negatively framed, under onerous licensing restrictions, either too generic or too specific. OBJECTIVE: This study aimed to develop and validate the core items of a modular, patient-centric, PRO system (Thrive) that could measure health status across a range of chronic conditions with minimal burden. METHODS: Thrive was developed in 4 phases, largely consistent with Food and Drug Administration guidance regarding PRO development. First, preliminary core items (common across multiple conditions: core Thrive items) were developed through literature review, analysis of approximately 20 existing PROs on PatientsLikeMe, and feedback from psychometric and content experts. Second, 2 rounds of cognitive interviews were iteratively conducted with patients (N=14) to obtain feedback on the preliminary items. Third, core Thrive items were administered electronically along with comparator measures, including 20-item Short-Form General Health Survey (SF)-20 and Patient Health Questionnaire (PHQ)-9, to a large sample (N=2002) of adults with chronic diseases through the PatientsLikeMe platform. On the basis of theoretical and empirical rationale, items were revised or removed. Fourth, the revised core Thrive items were administered to another sample of patients (N=704) with generic and condition-specific comparator measures. A psychometric evaluation, which included both modern and classical test theory approaches, was conducted on these items, and several more items were removed. RESULTS: Cognitive interviews helped to remove confusing or redundant items. Empirical testing of subscales revealed good internal consistency (Cronbach alpha=.712-.879), test-retest reliability (absolute intraclass correlations=.749-.912), and convergent validity with legacy PRO scales (eg, Pearson r=.5-.75 between Thrive subscales and PHQ-9 total). The finalized instrument consists of a 19-item core including 5 multi-item subscales: Core symptoms, Abilities, Mobility, Sleep, and Thriving. Results provide evidence of construct (content, convergent) validity, high levels of test-retest and internal consistency reliability, and the ability to detect change over time. The items did not exhibit bias based on gender or age, and the items generally functioned similarly across conditions. These results support the use of Thrive Core items across diverse chronic patient populations. CONCLUSIONS: Thrive appears to be a useful approach for capturing important domains for patients with chronic conditions. This core set serves as a foundation to begin developing modular condition-specific versions in the near future. Cross-walking against traditional PROs from the PatientsLikeMe platform is underway, in addition to clinical validation and comparison with biomarkers. Thrive is licensed under Creative Commons Attribution ShareAlike 4.0.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0954/6367664/3ae97ea7980e/jmir_v21i1e12075_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0954/6367664/65932cb35a2a/jmir_v21i1e12075_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0954/6367664/3ae97ea7980e/jmir_v21i1e12075_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0954/6367664/65932cb35a2a/jmir_v21i1e12075_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0954/6367664/3ae97ea7980e/jmir_v21i1e12075_fig2.jpg

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本文引用的文献

[1]
Building a learning health community: By the people, for the people.

Learn Health Syst. 2017-6-6

[2]
Scaling PatientsLikeMe via a "Generalized Platform" for Members with Chronic Illness: Web-Based Survey Study of Benefits Arising.

J Med Internet Res. 2018-5-7

[3]
Incorporating the patient experience into regulatory decision making in the USA, Europe, and Canada.

Lancet Oncol. 2018-5

[4]
It's a long shot, but it just might work! Perspectives on the future of medicine.

BMC Med. 2016-11-7

[5]
Increasing Patient Involvement in Drug Development.

Value Health. 2016

[6]
Empowered citizen 'health hackers' who are not waiting.

BMC Med. 2016-8-17

[7]
Exploring Concordance of Patient-Reported Information on PatientsLikeMe and Medical Claims Data at the Patient Level.

J Med Internet Res. 2016-5-12

[8]
Symptom Monitoring With Patient-Reported Outcomes During Routine Cancer Treatment: A Randomized Controlled Trial.

J Clin Oncol. 2016-2-20

[9]
Patient-reported outcomes in clinical practice.

Hematology Am Soc Hematol Educ Program. 2015

[10]
Patient engagement and the design of digital health.

Acad Emerg Med. 2015-6

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