Efficacy of mental health smartphone apps on stress levels: a meta-analysis of randomised controlled trials

被引:3
作者
Linardon, Jake [1 ,2 ]
Firth, Joseph [3 ,4 ]
Torous, John [5 ]
Messer, Mariel [1 ]
Fuller-Tyszkiewicz, Matthew [1 ,2 ]
机构
[1] Deakin Univ, Sch Psychol, Geelong, Australia
[2] Deakin Univ, Ctr Social & Early Emot Dev, Burwood, Australia
[3] Univ Manchester, Manchester Acad Hlth Sci Ctr, Div Psychol & Mental Hlth, Manchester, England
[4] Greater Manchester Mental Hlth NHS Fdn Trust, Manchester Acad Hlth Sci Ctr, Manchester, England
[5] Harvard Med Sch, Beth Israel Deaconess Med Ctr, Dept Psychiat, Boston, MA USA
基金
英国医学研究理事会; 英国科研创新办公室;
关键词
Mental health; smartphone apps; meta-analysis; randomised controlled trial; SYMPTOMS; INTERVENTIONS; MANAGEMENT;
D O I
10.1080/17437199.2024.2379784
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
The management of stress has evolved in recent years due to widespread availability of mobile-device applications (apps) and their capacity to deliver psychological interventions. We evaluated the efficacy of mental health apps on stress and sought to identify characteristics associated with effect size estimates. Sixty-nine randomised controlled trials (RCTs) were included. Random effects meta-analyses were performed and putative moderators were examined at univariate and multivariate (combinations and interactions) levels. From 78 comparisons, we observed a small but significant pooled effect of apps over control conditions on perceived stress levels (g = 0.27; 95% CI = 0.20, 0.34; I2 = 68%). This effect weakened after taking into account small-study bias according to the trim-and-fill procedure (g = 0.10; 95% CI = 0.02, 0.19; I2 = 78%). Delivery of apps with stress monitoring features produced smaller efficacy estimates, although this association interacted with other trial features (small sample size and inactive control group) in multivariate analyses, suggesting that this effect may have been explained by features characteristic of low-quality trials. Mental health apps appear to have small, acute effects on reducing perceived stress. Future research should shift focus towards identifying change mechanisms, longitudinal outcomes, features that facilitate sustained app usage, and tangible pathways to integrating apps into real-world clinical settings.
引用
收藏
页码:839 / 852
页数:14
相关论文
共 51 条
  • [1] Internet-Delivered Psychological Treatments
    Andersson, Gerhard
    [J]. ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 12, 2016, 12 : 157 - 179
  • [2] Determinant Factors of Public Acceptance of Stress Management Apps: Survey Study
    Apolinario-Hagen, Jennifer
    Hennemann, Severin
    Fritsche, Lara
    Druege, Marie
    Breil, Bernhard
    [J]. JMIR MENTAL HEALTH, 2019, 6 (11):
  • [3] Role of oxidative stress in depression
    Bhatt, Shvetank
    Nagappa, Anantha Naik
    Patil, Chandragouda R.
    [J]. DRUG DISCOVERY TODAY, 2020, 25 (07) : 1270 - 1276
  • [4] Borenstein M., 2021, INTRO METAANALYSIS, DOI DOI 10.1002/9781119558378
  • [5] Understanding Mental Health App Use Among Community College Students: Web-Based Survey Study
    Borghouts, Judith
    Eikey, Elizabeth, V
    Mark, Gloria
    De Leon, Cinthia
    Schueller, Stephen M.
    Schneider, Margaret
    Stadnick, Nicole
    Zheng, Kai
    Mukamel, Dana B.
    Sorkin, Dara H.
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (09)
  • [6] Mindfulness-Based Stress Reduction for Stress Management in Healthy People: A Review and Meta-Analysis
    Chiesa, Alberto
    Serretti, Alessandro
    [J]. JOURNAL OF ALTERNATIVE AND COMPLEMENTARY MEDICINE, 2009, 15 (05) : 593 - 600
  • [7] A POWER PRIMER
    COHEN, J
    [J]. PSYCHOLOGICAL BULLETIN, 1992, 112 (01) : 155 - 159
  • [8] THE NUMBER NEEDED TO TREAT - A CLINICALLY USEFUL MEASURE OF TREATMENT EFFECT
    COOK, RJ
    SACKETT, DL
    [J]. BRITISH MEDICAL JOURNAL, 1995, 310 (6977) : 452 - 454
  • [9] A Systematic, Multi-domain Review of Mobile Smartphone Apps for Evidence-Based Stress Management
    Coulon, Sandra M.
    Monroe, Courtney M.
    West, Delia S.
    [J]. AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2016, 51 (01) : 95 - 105
  • [10] Cribari-Neto F, 2010, J STAT SOFTW, V34, P1