减轻慢性疼痛患者抑郁症状严重程度的移动医疗辅助护理:探索性、回顾性队列研究。

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2025-01-10 DOI:10.2196/52764
Dan Holley, Amanda Brooks, Matthew Hartz, Sudhir Rao, Thomas Zaubler
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引用次数: 0

摘要

背景:抑郁和慢性疼痛通常是共病,相互加强,使人衰弱。新兴的移动行为医疗(mHealth)方法有望通过与现有的护理模式相结合,加强临床就诊之间的支持和连续性,改善患有共病抑郁症和慢性疼痛的患者的预后;然而,支持使用移动医疗来增加对这一患者群体的护理的证据基础有限。目的:为了为未来的研究提供证据基础,我们旨在探讨在合并抑郁症和非恶性慢性疼痛的患者中,在有和没有移动健康增强的情况下,抑郁症严重程度的变化与各种综合护理模式之间的关系。方法:我们的团队利用了3837例在亚专科疼痛诊所接受综合行为健康护理(IBH)的共病抑郁症和非恶性慢性疼痛患者的回顾性真实数据。我们分析了一个只有ibh的非移动健康队列(n=2765)、一个移动健康增强队列(n=844)、一个协同护理(CoCM)+移动健康队列(n=136),这些队列由NeuroFlow移动健康平台支持,以及一个CoCM前的移动健康队列(n=92),该队列在开始慢性疼痛治疗前的3个月由移动健康平台支持。我们通过临床医生和移动健康管理的患者健康问卷-9 (PHQ-9)评估的纵向分析来评估治疗队列之间抑郁症严重程度的变化。结果:与单独的综合护理相比,移动健康增强的综合护理使达到临床基准的患者比例显著增加(725/844,86%比2112/2765,76%)、缓解(689/844,82%比2027/2765,73%)和缓解(629/844,75%比1919/2765,69%)。此外,分层回归模型显示,与其他队列相比,无论临床基准如何,接受移动健康增强精神科CoCM的患者平均抑郁严重程度的持续降低幅度最大。此外,在开始CoCM治疗前使用移动健康平台的患者在开始CoCM治疗前的平均抑郁严重程度降低了7.2%。结论:我们的研究结果表明,移动健康平台有可能通过提供基于远程测量的护理、量身定制的干预措施和改善预约之间的连续性,改善患有共病慢性疼痛和抑郁症的患者的治疗结果。此外,我们的研究为进一步的研究奠定了基础,包括随机对照试验,以评估移动医疗参与与综合护理环境中治疗结果之间的因果关系。
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mHealth-Augmented Care for Reducing Depression Symptom Severity Among Patients With Chronic Pain: Exploratory, Retrospective Cohort Study.

Background: Depression and chronic pain are commonly comorbid, mutually reinforcing, and debilitating. Emerging approaches to mobile behavioral health care (mHealth) promise to improve outcomes for patients with comorbid depression and chronic pain by integrating with existing care models to bolster support and continuity between clinical visits; however, the evidence base supporting the use of mHealth to augment care for this patient population is limited.

Objective: To develop an evidence base that sets the stage for future research, we aimed to explore the associations between changes in depression severity and various integrated care models, with and without mHealth augmentation, among patients with comorbid depression and nonmalignant chronic pain.

Methods: Our team leveraged retrospective, real-world data from 3837 patients with comorbid depression and nonmalignant chronic pain who received integrated behavioral health care (IBH) at a subspecialty pain clinic. We analyzed one IBH-only, non-mHealth cohort (n=2765), an mHealth-augmented cohort (n=844), and a collaborative care (CoCM)+mHealth cohort (n=136), which were supported by the NeuroFlow mHealth platform, and a pre-CoCM mHealth cohort (n=92), which was supported by the mHealth platform for 3 months prior to beginning the chronic pain treatment. We evaluated changes in depression severity between treatment cohorts via longitudinal analyses of both clinician- and mHealth-administered Patient Health Questionnaire-9 (PHQ-9) assessments.

Results: mHealth-augmented integrated care led to significantly greater proportions of patients reaching clinical benchmarks for reduction (725/844, 86% vs 2112/2765, 76%), response (689/844, 82% vs 2027/2765, 73%), and remission (629/844, 75% vs 1919/2765, 69%) compared with integrated care alone. Furthermore, hierarchical regression modeling revealed that patients who received mHealth-augmented psychiatric CoCM experienced the greatest sustained reductions in on-average depression severity compared with other cohorts, irrespective of clinical benchmarks. In addition, patients who engaged with an mHealth platform before entering CoCM experienced a 7.2% reduction in average depression severity before starting CoCM treatment.

Conclusions: Our findings suggest that mHealth platforms have the potential to improve treatment outcomes for patients with comorbid chronic pain and depression by providing remote measurement-based care, tailored interventions, and improved continuity between appointments. Moreover, our study set the stage for further research, including randomized controlled trials to evaluate causal relationships between mHealth engagement and treatment outcomes in integrated care settings.

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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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