Measurement Tools for Adherence to Non-Pharmacologic Self-Management Treatment for Chronic Musculoskeletal Conditions: A Systematic Review

被引:47
作者
Hall, Amanda M. [1 ]
Kamper, Steven J. [2 ,3 ]
Hernon, Marian [1 ]
Hughes, Katie [1 ,4 ]
Kelly, Grainne [5 ]
Lonsdale, Chris [6 ]
Hurley, Deirdre A. [4 ]
Ostelo, Raymond [3 ]
机构
[1] Univ Coll Dublin, Sch Publ Hlth Physiotherapy & Populat Sci, Dublin 2, Ireland
[2] George Inst Global Hlth, Musculoskeletal Div, Sydney, NSW, Australia
[3] Vrije Univ Amsterdam, Med Ctr, EMGO Inst, Amsterdam, Netherlands
[4] Univ Limerick, Fac Educ & Hlth Sci, Limerick, Ireland
[5] Univ Limerick, Dept Clin Therapies, Limerick, Ireland
[6] Australian Catholic Univ, Fac Hlth Sci, Sydney, NSW, Australia
来源
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION | 2015年 / 96卷 / 03期
关键词
Musculoskeletal diseases; Patient compliance; Rehabilitation; Self care; LOW-BACK-PAIN; CHRONIC NECK PAIN; OLDER-ADULTS; LONG-TERM; KNEE OSTEOARTHRITIS; EXERCISE ADHERENCE; PHYSICAL-THERAPY; HEALTH-EDUCATION; REHABILITATION; PROGRAM;
D O I
10.1016/j.apmr.2014.07.405
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
Objectives: To identify measures of adherence to nonpharmacologic self-management treatments for chronic musculoskeletal (MSK) populations; and to report on the measurement properties of identified measures. Data Sources: Five databases were searched for all study types that included a chronic MSK population, unsupervised intervention, and measure of adherence. Study Selection: Two independent researchers reviewed all titles for inclusion using the following criteria: adult (>18y) participants with a chronic MSK condition; intervention, including an unsupervised self-management component; and measure of adherence to the unsupervised self-management component. Data Extraction: Descriptive data regarding populations, unsupervised components, and measures of unsupervised adherence (items, response options) were collected from each study by 1 researcher and checked by a second for accuracy. Data Synthesis: No named or referenced adherence measurement tools were found, but a total of 47 self-invented measures were identified. No measure was used in more than a single study. Methods could be grouped into the following: home diaries (n=31), multi-item questionnaires (n=11), and single-item questionnaires (n=7). All measures varied in type of information requested and scoring method. The lack of established tools precluded quality assessment of the measurement properties using COnsensus-based Standards for the selection of health Measurement lNstruments methodology. Conclusions: Despite the importance of adherence to self-management interventions, measurement appears to be conducted on an ad hoc basis. It is clear that there is no consistency among adherence measurement tools and that the construct is ill-defined. This study alerts the research community to the gap in measuring adherence to self-care in a rigorous and reproducible manner. Therefore, we need to address this gap by using credible methods (eg, COnsensus-based Standards for the selection of health Measurement lNstruments guidelines) to develop and evaluate an appropriate measure of adherence for self-management. (C) 2015 by the American Congress of Rehabilitation Medicine
引用
收藏
页码:552 / 562
页数:11
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