荟萃分析
心理干预
医学
焦虑
社会心理的
随机对照试验
生活质量(医疗保健)
萧条(经济学)
认知行为疗法
置信区间
梅德林
心理信息
精神科
物理疗法
临床心理学
内科学
宏观经济学
护理部
经济
法学
政治学
作者
Robert A. Chernoff,Gabrielle Messineo,Sungjin Kim,Demetria Pizano,Samuel Korouri,Itai Danovitch,Waguih William IsHak
标识
DOI:10.1097/psy.0000000000001073
摘要
ABSTRACT Objective The purpose of this systematic review and meta-analysis was to evaluate the ability of psychosocial interventions to reduce depression and anxiety, improve quality of life, and reduce hospitalization and mortality rates in patients with heart failure. Methods Studies of psychosocial interventions published from 1970 to 2021 were identified through four databases (PubMed, Ovid MEDLINE, PsycINFO, Cochrane). Two authors independently conducted a focused analysis and reached a final consensus on the studies to include, followed by a quality check by a third author. A risk of bias assessment was conducted. Results Twenty-three studies were identified, but only 15 studies of mostly randomized controlled trials with a total of 1370 patients with heart failure were included in the meta-analysis. Interventions were either cognitive behavioral therapy (CBT) or stress management. The pooled intervention effect was in favor of the intervention for depression (combined difference in standardized mean change [DSMC]: −0.41; 95% confidence interval [CI] = −0.66 to −0.17; p = .001) and anxiety (combined DSMC: −0.33; 95% CI = −0.51 to −0.15; p < .001) but was only a trend for quality of life (combined DSMC: 0.14; 95% CI = −0.00 to 0.29; p = .053). Evidence was limited that interventions produced lower rates of hospitalization (5 of 5 studies showing a beneficial effect) or death (1 of 5 with a beneficial effect). Conclusions CBT and stress management interventions significantly reduced depression and anxiety compared with control conditions. CBT significantly improved quality of life compared with controls, but stress management did not. Longer treatment duration seemed to be an important factor related to treatment success.
科研通智能强力驱动
Strongly Powered by AbleSci AI