A meta‐analysis of studies of the effects of case management intervention for stroke survivors across three countries

Abstract

Purpose: A stroke survivor who is discharged to home care faces many challenges during the transition from the hospital to home, including managing their care at home and engaging in rehabilitation and recovery. Case management was developed to ease the transition from hospital to home and help people with stroke cope with their care management challenges. However, the effects of case management intervention remain inconclusive. Case management was designed to direct care and may represent a novel method for reducing the burden of care. This study was designed to evaluate the effects of case management interventions on mental health outcomes, activities of daily living capacity, physical function, and social function among stroke survivors.Design: Systematic review and meta-analysis. Methods:This study included studies examining the impacts of case management interventions for stroke survivors that were published in English and identified by searching eight databases, from database inception to February 20, 2022.Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were used to pool effect sizes using a random-effects model (in Stata 16.0). The revised Cochrane risk-of-bias tool for randomized trials (RoB-2) was used to assess the methodological quality of each study. Findings:The inclusion criteria were satisfied by eight studies (including a total of 1119 stroke survivors). Case management had positive effects on mental health

Promising algorithms to perilous applications: a systematic review of risk stratification tools for predicting healthcare utilisation

“…There is broad consensus that PHM strategies designed specifically for those with certain chronic conditions significantly reduce morbidity. [89][90][91][92][93][94] Taken with our findings, the available evidence indicates that the success of PHM strategies in specific disease groups may not be generalisable to unselected cohorts, and this remains the case when predictive modelling is employed to augment case selection.…”

Robotic arm use for upper limb rehabilitation after stroke: A systematic review and meta‐analysis

“…A multidisciplinary team (neurologist, physiotherapist, physical therapist, and nurse) in the clinic setting or rehabilitation center should be included in the robotic arm intervention. 57,58 Establishing clear protocols to govern the use of a robotic arm in patients with stroke will be helped by choosing a group of healthcare practitioners with a variety of related experience. [59][60][61] The protocols should be as comprehensive as possible and include well-targeted stroke treatment such as the exoskeleton robot to power a system of motors or pneumatic levers or restore locomotion 62,63 or end-effectors to interact with the environment (e.g., grasping, reaching targets).…”

“…Based on the results, robotic arm interventions should be combined with exercise rehabilitation with a session duration of 30–60 min. A multidisciplinary team (neurologist, physiotherapist, physical therapist, and nurse) in the clinic setting or rehabilitation center should be included in the robotic arm intervention 57,58 . Establishing clear protocols to govern the use of a robotic arm in patients with stroke will be helped by choosing a group of healthcare practitioners with a variety of related experience 59–61 .…”