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Effectiveness of digital intelligence interventions on depression and anxiety in older adults: A systematic review
Yu-Fei Qiu1, Man Wu2, Jia-Li Liu1
1School of Nursing, Hubei University of Chinese Medicine, Wuhan 430065, China.
Background:
Depression and anxiety are common mental disorders in later life. Digital intelligence interventions overcome the limitations of conventional psychotherapy and offer new treatments for depression and anxiety. However, the effectiveness among older adults remains unclear.
Methods:
Databases including Pubmed, Web of Science, the Cochrane Library, Medline, CINAHL, PsycINFO, and Embase were searched for Randomized Controlled Trials (RCTs) from inception to November 22, 2023. Statistical analyses were conducted using Stata 18.0 and Review Manager 5.4.
Results:
The initial search found 9369 papers, with 21 meeting the inclusion criteria (e.g., RCTs involving older adults aged 50 and older that assessed digital intelligence interventions on depression and anxiety symptoms). Meta-analyses revealed that, compared to control groups, digital intelligence interventions significantly reduced depression symptoms (SMD: -0.58; 95 % CI: -0.80, -0.35) and anxiety symptoms (SMD: -0.39; 95 % CI: -0.58, -0.19). Subgroup analysis revealed that internet-based Cognitive Behavioral Therapy (iCBT), interventions lasting 7 to 10 weeks, and the use of the Patient Health Questionnaire (PHQ) and Generalized Anxiety Disorder-7 (GAD-7) scales, especially in other regions, had the most pronounced effects.
Conclusions:
Digital intelligence interventions reduce depressive and anxious symptoms in older adults, supporting the development of evidence-based treatment guidelines in the digital era.
