Conectar
by Yilin Zhang, Zitong Zhang, Yunyun Peng, Wanting Zhang, Guiyuan Ma, Sulan Lin, Carmen W.H. Chan, Ankie Tan Cheung, Jianhui Xie, Can Gu
ObjectiveThis systematic review aimed to examine the impact of technology- and parent-based psychosocial interventions on family factors among children with cancer, focusing on family dynamics.
MethodsData were sourced from ten databases (CNKI, Wanfang, VIP, Sinomed, the Cochrane Library, Embase, PubMed, Web of Science, Scopus, and CINAHL) up to August 2024. The PRISMA statement guidelines, the Cochrane risk bias assessment tool, and the non-randomized controlled trial risk bias assessment tool were used in this study and experimental and quasi-experimental studies were included. The review protocol is registered in PROSPERO (CRD42023435402).
ResultsTwelve studies, including seven randomized controlled trials and five quasi-experimental studies, involving 1,309 parents of children with cancer, were included in the review. These studies utilized various theoretical models and delivered interventions through different modes, such as Internet-based platforms and telehealth. Overall, technology- and parent-based interventions have demonstrated positive effects on family dynamics factors, including family function, communication, coping ability, and family burden.
ConclusionsTechnology- and parent-based psychosocial interventions showed promise in enhancing family dynamics factors although intervention methods varied across studies. This review recommends larger-scale randomized controlled trials to evaluate the effectiveness of technology- and parent-based psychosocial interventions on family dynamics factors among this vulnerable population and highlights the potential of such interventions to improve care quality, treatment outcomes, and resource allocation in pediatric oncology.
This study aimed to identify the heterogeneous trajectories of frailty and determine the predictors of distinct trajectories in patients with heart failure.
A longitudinal study.
A total of 253 patients with heart failure were recruited at the cardiology department of a tertiary hospital between February and December 2023. Frailty was assessed at baseline, 1 and 4 months after discharge. Patients' sociodemographic characteristics, physical symptoms, nutritional status, psychological distress, illness perception and social networks were obtained at baseline using a structured questionnaire. Group-based trajectory modelling was performed to identify the heterogeneity of the trajectories of frailty. Multiple logistic regression and decision tree models were used to explore the predictors of heterogeneous trajectories of frailty.
Three distinct trajectories of frailty were identified in patients with heart failure: low frailty with high-degree improvement group (46.2%), moderate frailty with high-degree improvement group (41.1%) and high frailty with low-degree improvement group (12.6%). Multiple logistic regression analysis showed that physical symptoms, nutritional status, illness perception and employment status were entered as independent predictors of heterogeneous trajectories of frailty. The decision tree model demonstrated that physical symptoms were the primary predictors, followed by nutritional status, illness perception and psychological distress.
Three distinct categories of frailty trajectories were identified in patients with heart failure. Physical symptoms, nutritional status, psychological distress, illness perception and employment status were independent predictors of heterogeneous trajectories of frailty, with physical symptoms being the most important predictor.
Dynamic frailty assessment is recommended. Interventions aimed at alleviating physical symptoms, psychological distress and negative illness perception, and improving nutritional status may be conducive to delaying or reversing frailty in patients with heart failure, particularly in unemployed individuals.
The reporting followed the STROBE guideline.
No patient or public contribution.
Weight management is an important part of disease management in patients with heart failure. However, the effectiveness of reported weight management interventions is inconclusive.
The aim of this systematic review and meta-analysis was to assess the effects of weight management on functional status, heart failure-related hospitalizations, and all-cause mortality in patients with heart failure.
PubMed, Web of Science, Embase, and the Cochrane Library were searched on April 3, 2022. This study was registered with PROSPERO (CRD42021283817). Eligible studies assessed functional status, heart failure-related hospitalizations, and all-cause mortality in patients with heart failure. Two researchers independently screened the articles, extracted data, and evaluated the risk bias of each study. Dichotomous variables were presented as OR with a 95% confidence interval (CI). The data were analyzed using a fixed effect or random effect model, and heterogeneity was determined using I 2 statistics. All statistical analyses were conducted using RevMan 5.3.
Among 4279 studies screened, seven randomized controlled trials were included in this study. The results showed that weight management significantly improved functional status (OR = 0.15, 95% CI [0.07, 0.35], I 2 = 52%) and reduced the risk of all-cause mortality (OR = 0.54, 95% CI [0.34, 0.85], I 2 = 0%), but had no significant effect on heart failure-related hospitalizations (OR = 0.72, 95% CI [0.20, 2.66]).
Weight management has effects on improved functional status and reduced all-cause mortality in patients with heart failure. It is necessary to strengthen the weight management interventions of patients with heart failure to improve patients' functional status and reduce all-cause mortality.
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