Evaluating a Mobile Digital Therapeutic for Vasomotor and Behavioral Health Symptoms Among Women in Midlife: Randomized Controlled Trial.

IF 6.2 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Jennifer Duffecy, Arfa Rehman, Scott Gorman, Yong Lin Huang, Heide Klumpp
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Abstract

Unlabelled: Background: Perimenopausal and menopausal symptoms affect many women's well-being and quality of life. Digital technologies, especially smartphones, allow self-management interventions for menopausal symptoms, but they are understudied., Objective: We evaluated whether a novel digital care app, Caria, effectively reduced vasomotor and behavioral health symptoms of menopause., Methods: We enrolled 149 women for a 6-week randomized controlled trial (app treatment: n=112; web-based educational control: n=37). Enrolled participants had problematic vasomotor symptoms and at least one elevated behavioral health symptom (depression, anxiety, or sleep issues). Web-based self-reported assessments (Hot Flush Rating Scale [HFRS], Patient Health Questionnaire Depression Scale-8 [PHQ-8], Generalized Anxiety Disorder-7, and Pittsburgh Sleep Quality Index [PSQI]) were conducted at baseline, 3 weeks, and 6 weeks., Results: For hot flash severity (HFRS; treatment baseline mean 16.4, SD 6.7 to 6-wk mean 13.6, SD 6.6; control: baseline mean 19.1, SD 7.3 to 6-wk mean 17.8, SD 7.2), a repeated-measures ANOVA revealed main effects for time (F2,262=9.82; P<.001) and treatment arm (F1,131=6.08; P=.01) and a significant time × treatment arm interaction (F2,262=3.23; P=.04); the treatment arm showed lower hot flash severity than the control arm (t147=2.72; P=.007). For depression scores (PHQ-8; treatment baseline mean 14.0, SD 3.8 to 6-wk mean 11.2, SD 5.3; control baseline mean 15.0, SD 3.7 to 6-wk mean 13.4, SD 4.1), a repeated-measures ANOVA showed a main effect of time in the treatment arm (F2,96=15.2; P<.001) but not the control arm (F2,40=2.0; P=.15). Follow-up 2-tailed paired t tests in the treatment arm showed depression decreased from baseline to week 3 (t49=3.3; P=.002) and from weeks 3 to 6 (t48=2.3; P=.02). For sleep quality scores (PSQI; treatment baseline mean 10.7, SD 3.1 to 6-wk mean 10.0, SD 3.5; control baseline mean 11.5, SD 3.7 to 6-wk mean 11.0, SD 3.7), the repeated-measures ANOVA showed a main effect of time in the treatment arm (F2,186=7.8; P=.001) but not the control arm (F2,62=1.3; P=.28). Follow-up 2-tailed paired t tests in the treatment arm showed a significant decrease in sleep issues from baseline to week 3 (t95=3.9; P<.001) but no change from weeks 3 to 6 (t93=0.2; P=.81). Participants with elevated anxiety symptoms showed decreased symptoms in both the treatment and control groups. App engagement was high (average logins over 6 weeks: 53.2)., Conclusions: The findings highlight the potential of digital interventions for mitigating menopausal vasomotor and behavioral health symptoms. Significant improvements in the intervention group underscore the app's effectiveness in providing relief from some of the most challenging aspects of menopause. This study contributes to the evidence supporting digital health interventions in managing menopausal symptoms, presenting a promising avenue for accessible and scalable solutions for women in midlife.

Abstract Image

Abstract Image

评估中年妇女血管舒缩和行为健康症状的移动数字治疗:随机对照试验。
背景:围绝经期和更年期症状影响许多妇女的健康和生活质量。数字技术,特别是智能手机,允许对更年期症状进行自我管理干预,但它们尚未得到充分研究。目的:评估一款新型数字护理应用Caria是否能有效减少绝经期血管舒缩和行为健康症状。方法:我们招募了149名女性进行为期6周的随机对照试验(应用程序治疗:n=112;基于网络的教育控制:n=37)。入选的参与者有血管舒缩症状和至少一种行为健康症状升高(抑郁、焦虑或睡眠问题)。基于网络的自我报告评估(潮热评定量表[HFRS]、患者健康问卷抑郁量表-8 [PHQ-8]、广泛性焦虑障碍-7和匹兹堡睡眠质量指数[PSQI])在基线、3周和6周进行。结果:热闪严重程度(HFRS);治疗基线平均16.4,SD 6.7 ~ 6周平均13.6,SD 6.6;对照组:基线平均19.1,SD 7.3至6周平均17.8,SD 7.2),重复测量方差分析显示时间的主要影响(f2262 =9.82;P
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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