Collinge William, Soltysik Robert, Yarnold Paul
Collinge and Associates, Inc, Eugene, OR, United States.
Optimal Data Analysis LLC, Glen Burnie, MD, United States.
J Med Internet Res. 2020 Apr 7;22(4):e15819. doi: 10.2196/15819.
Personal health informatics have the potential to help patients discover personalized health management strategies that influence outcomes. Fibromyalgia (FM) is a complex chronic illness requiring individualized strategies that may be informed by analysis of personal health informatics data. An online health diary program with dynamic feedback was developed to assist patients with FM in identifying symptom management strategies that predict their personal outcomes, and found reduced symptom levels associated with program use.
The aim of this study was to determine longitudinal associations between program use and functional impact of FM as measured by scores on a standardized assessment instrument, the Fibromyalgia Impact Questionnaire (FIQ).
Participants were self-identified as diagnosed with FM and recruited via online FM advocacy websites. Participants used an online health diary program ("SMARTLog") to report symptom ratings, behaviors, and management strategies used. Based on single-subject analysis of the accumulated data over time, individualized recommendations ("SMARTProfile") were then provided by the automated feedback program. Indices of program use comprised of cumulative numbers of SMARTLogs completed and SMARTProfiles received. Participants included in this analysis met a priori criteria of sufficient program use to generate SMARTProfiles (ie, ≥22 SMARTLogs completed). Users completed the FIQ at baseline and again each subsequent month of program use as follow-up data for analysis. Kendall tau-b, a nonparametric statistic that measures both the strength and direction of an ordinal association between two repeated measured variables, was computed between all included FIQ scores and both indices of program use for each subject at the time of each completed FIQ.
A total of 76 users met the a priori use criteria. The mean baseline FIQ score was 61.6 (SD 14.7). There were 342 FIQ scores generated for longitudinal analysis via Kendall tau-b. Statistically significant inverse associations were found over time between FIQ scores and (1) the cumulative number of SMARTLogs completed (tau-b=-0.135, P<.001); and (2) the cumulative number of SMARTProfiles received (tau-b=-0.133, P<.001). Users who completed 61 or more SMARTLogs had mean follow-up scores of 49.9 (n=25, 33% of the sample), an 18.9% drop in FM impact. Users who generated 11 or more new SMARTProfiles had mean follow-up scores of 51.8 (n=23, 30% of the sample), a 15.9% drop.
Significant inverse associations were found between FIQ scores and both indices of program use, with FIQ scores declining as use increased. Based on established criteria for rating FM severity, the top one-third of users in terms of use had clinically significant reductions from "severe" to "moderate" FM impact. These findings underscore the value of self-management interventions with low burden, high usability, and high perceived relevance to the user.
ClinicalTrials.gov NCT02515552; https://clinicaltrials.gov/ct2/show/NCT02515552.
个人健康信息学有潜力帮助患者发现影响治疗结果的个性化健康管理策略。纤维肌痛(FM)是一种复杂的慢性病,需要个性化策略,而个人健康信息学数据的分析可能为这些策略提供依据。我们开发了一个具有动态反馈的在线健康日记程序,以帮助FM患者识别可预测其个人治疗结果的症状管理策略,并发现使用该程序与症状水平降低相关。
本研究的目的是通过标准化评估工具纤维肌痛影响问卷(FIQ)的得分,确定程序使用与FM功能影响之间的纵向关联。
参与者自我认定为患有FM,并通过在线FM宣传网站招募。参与者使用在线健康日记程序(“SMARTLog”)报告症状评分、行为和所采用的管理策略。基于对随时间积累的数据进行的单受试者分析,自动反馈程序随后提供个性化建议(“SMARTProfile”)。程序使用指标包括完成的SMARTLog累计数量和收到的SMARTProfile累计数量。纳入本分析的参与者符合生成SMARTProfile的足够程序使用的先验标准(即完成≥22份SMARTLog)。用户在基线时完成FIQ,并在随后使用程序的每个月再次完成,作为后续分析的数据。在每个完成FIQ时,计算所有纳入的FIQ得分与每个受试者的两个程序使用指标之间的肯德尔tau-b,这是一种非参数统计量,用于测量两个重复测量变量之间有序关联的强度和方向。
共有76名用户符合先验使用标准。基线时FIQ的平均得分为61.6(标准差14.7)。通过肯德尔tau-b进行纵向分析共生成了342个FIQ得分。随着时间推移,在FIQ得分与以下两项之间发现了具有统计学意义的负相关:(1)完成的SMARTLog累计数量(tau-b=-0.135,P<0.001);(2)收到的SMARTProfile累计数量(tau-b=-0.133,P<0.001)。完成61份或更多SMARTLog的用户的平均随访得分为49.9(n=25,占样本的33%),FM影响下降了18.9%。生成11份或更多新SMARTProfile 的用户的平均随访得分为51.8(n=23,占样本的30%),下降了15.9%。
在FIQ得分与两个程序使用指标之间均发现了显著的负相关,随着使用增加,FIQ得分下降。根据既定的FM严重程度评级标准,在使用方面处于前三分位的用户在临床上有显著改善,从“严重”FM影响降至“中度”。这些发现强调了低负担、高可用性且与用户高度相关的自我管理干预措施的价值。
ClinicalTrials.gov NCT02515552;https://clinicaltrials.gov/ct2/show/NCT02515552