Background and method of the Striving to be Strong study a RCT testing the efficacy of a m-health self-management intervention

医学 随机对照试验 心理干预 物理疗法 损耗 干预(咨询) 行为改变 骨质疏松症 健康 老年学 自我效能感 护理部 社会心理学 心理学 外科 内分泌学 病理 牙科
作者
Polly Ryan,Paula E. Papanek,Mary Ellen Csuka,Melissa E. Brown,Sarah Hopkins,Shelly B. Lynch,Victoria Scheer,Andrea Matovina Schlidt,Ke Yan,Pippa Simpson,R.L. Hoffman
出处
期刊:Contemporary Clinical Trials [Elsevier BV]
卷期号:71: 80-87 被引量:12
标识
DOI:10.1016/j.cct.2018.06.006
摘要

Osteoporosis is a prevalent and debilitating condition affecting >50% of post-menopausal women. Yet, a low percentage of women regularly engage in health promoting behaviors associated with osteoporosis prevention. Complex, multidimensional, m-Health interventions hold promise to effect engagement in health behavior change related to calcium and vitamin D intake, balance, core and leg strength, and physical activity.Striving to be Strong study (R01NR013913-01) tests the efficacy of a research and theory based, patient centered, dynamically tailored intervention delivered via smart phone apps. Ecological Momentary Assessments (EMAs) enhance immediate feedback and complement traditional measures. The desired outcomes are the maintenance of osteoporosis self-management behaviors and a decrease in the loss of bone density over time. The Individual and Family Self-management Theory provided the conceptual foundation for the study. The sample consists of 290 healthy women between the ages of 40 and 60 with an anticipated attrition of 33%. This three group repeated measures Randomized Clinical Trial spans a 12-month time period. Data collected occurs via web site, smart-phone app, self-report, observation, and measures. Proximal (engagement in osteoporosis health behaviors) and distal (serum vitamin D, DXA, and body composition) outcomes are collected for testing of the efficacy of the intervention and theory evaluation.Active and rigorous quality management processes continually evaluate enrollment and retention goals, functionality of the automated intervention delivery and data collection systems, EMAs, and dispersion of incentives.

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