Digital Interventions for Symptoms of Borderline Personality Disorder: Systematic Review and Meta-Analysis.

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2024-11-29 DOI:10.2196/54941
Julia A B Lindsay, Niall M McGowan, Thomas Henning, Eli Harriss, Kate E A Saunders
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Abstract

Background: Borderline personality disorder (BPD) is a mental health condition with insufficient care availability worldwide. Digital mental health interventions could reduce this treatment gap. Persuasive system design (PSD) is a conceptual framework outlining elements of digital interventions that support behavior change.

Objective: This systematic review aims to characterize digital interventions targeting BPD symptoms, assess treatment efficacy, and identify its association with intervention features, including PSD elements.

Methods: A systematic review of automated digital interventions targeting symptoms of BPD was conducted. Eligible studies recruited participants aged ≥18 years, based on a diagnosis of BPD or one of its common comorbidities, or as healthy volunteers. OVID Embase, OVID MEDLINE, OVID PsycINFO, and the Cochrane Central Register for Controlled Trials were searched on July 19, 2022, and February 28, 2023. Intervention characteristics were tabulated. A meta-analysis of randomized controlled trials (RCTs) determined treatment effects separately for each core symptom of BPD using Hedges g. Associations between the treatment effect and intervention features, including PSD elements, were assessed by subgroup analysis (Cochran Q test). Risk of bias was assessed using the Cochrane Risk of Bias 2 tool for RCTs and the National Institutes of Health Quality Assessment Tool for pre-post studies.

Results: A total of 40 (0.47%) publications out of 8520 met the inclusion criteria of this review, representing 6611 participants. Studies comprised examinations of 38 unique interventions, of which 32 (84%) were RCTs. Synthesis found that included interventions had the following transdiagnostic treatment targets: severity of BPD symptoms (4/38, 11%), suicidal ideation (17/38, 45%), paranoia (5/38, 13%), nonsuicidal self-injury (5/38, 13%), emotion regulation (4/38, 11%), and anger (3/38, 8%). Common therapeutic approaches were based on dialectical behavioral therapy (8/38, 21%), cognitive behavioral therapy (6/38, 16%), or both (5/38, 13%). Meta-analysis found significant effects of digital intervention for both symptoms of paranoia (Hedges g=-0.52, 95% CI -0.86 to -0.18; P=.01) and suicidal ideation (Hedges g=-0.13, 95% CI -0.25 to -0.01; P=.03) but not overall BPD symptom severity (Hedges g=-0.17, 95% CI -0.42 to 0.10; P=.72). Subgroup analysis of suicidal ideation interventions found that evidence-based treatments such as cognitive behavioral therapy and dialectical behavior therapy were significantly more effective than alternative modalities (Cochran Q=4.87; P=.03). The degree of human support was not associated with the treatment effect. Interventions targeting suicidal ideation that used reminders, offered self-monitoring, and encouraged users to rehearse behaviors were associated with a greater reduction in ideation severity.

Conclusions: Evidence suggests that digital interventions may reduce the symptoms of suicidal ideation and paranoia and that the design of digital interventions may impact the efficacy of treatments targeting suicidal ideation. These results support the use of transdiagnostic digital interventions for paranoia and suicidal ideation.

Trial registration: PROSPERO CRD42022358270; https://tinyurl.com/3mz7uc7k.

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边缘型人格障碍症状的数字干预:系统回顾和荟萃分析。
背景:边缘型人格障碍(BPD)是一种精神健康状况,在世界范围内缺乏足够的护理。数字心理健康干预措施可以缩小这一治疗差距。劝导系统设计(PSD)是一个概念框架,概述了支持行为改变的数字干预措施的要素。目的:本系统综述旨在描述针对BPD症状的数字干预措施,评估治疗效果,并确定其与干预特征(包括PSD元素)的关联。方法:对针对BPD症状的自动数字干预进行系统回顾。符合条件的研究招募年龄≥18岁的参与者,基于BPD诊断或其常见合并症之一,或作为健康志愿者。OVID Embase、OVID MEDLINE、OVID PsycINFO和Cochrane Central Register for Controlled Trials分别于2022年7月19日和2023年2月28日进行了检索。将干预特征制成表格。随机对照试验(RCTs)的荟萃分析使用Hedges g分别确定了BPD每个核心症状的治疗效果。治疗效果与干预特征(包括PSD元素)之间的关联通过亚组分析(Cochran Q检验)进行评估。使用Cochrane随机对照试验偏倚风险2工具和美国国立卫生研究院前后研究质量评估工具评估偏倚风险。结果:8520篇文献中有40篇(0.47%)符合本综述的纳入标准,代表6611名受试者。研究包括38项独特干预措施的检查,其中32项(84%)为随机对照试验。综合发现纳入的干预措施具有以下跨诊断治疗目标:BPD症状严重程度(4/ 38,11%)、自杀意念(17/ 38,45%)、偏执(5/ 38,13%)、非自杀性自伤(5/ 38,13%)、情绪调节(4/ 38,11%)和愤怒(3/ 38,8%)。常见的治疗方法是基于辩证行为治疗(8/ 38,21%)、认知行为治疗(6/ 38,16%)或两者兼而有之(5/ 38,13%)。荟萃分析发现,数字干预对偏执的两种症状都有显著影响(赫奇斯g=-0.52, 95% CI -0.86至-0.18;P= 0.01)和自杀意念(对冲系数g=-0.13, 95% CI -0.25 ~ -0.01;P= 0.03),但总体BPD症状严重程度未见差异(对冲系数g=-0.17, 95% CI -0.42 ~ 0.10;P =标识)。自杀意念干预的亚组分析发现,认知行为治疗和辩证行为治疗等循证治疗显著优于其他治疗方式(Cochran Q=4.87;P = 03)。人类的支持程度与治疗效果无关。针对自杀意念的干预措施使用提醒,提供自我监控,并鼓励使用者排练行为,与意念严重程度的更大降低有关。结论:有证据表明,数字干预可能会减轻自杀意念和偏执的症状,并且数字干预的设计可能会影响针对自杀意念的治疗效果。这些结果支持对偏执和自杀意念使用跨诊断数字干预。试验注册:PROSPERO CRD42022358270;https://tinyurl.com/3mz7uc7k。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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