Systematic Review and Meta-Analysis of Effects of Nurse-Led Intervention for People With Dementia

Background Nurses’ primary role in clinical settings for persons living with dementia is to lessen the strain of dementia on daily life, monitor comorbidities, and manage medications. However, no comprehensive literature review has investigated the effectiveness of nurse-led interventions for persons living with dementia. Objective The purpose of this study was to evaluate randomized controlled trials on the efficacy of nurse-led dementia interventions and provide an extended range of outcomes related to cognitive function, depression, and quality of life. Methods A comprehensive literature search of six databases was conducted from database inception to August 10, 2022. Methodologies were evaluated, followed by a pooled analysis using random effects models to explain the effects of nurse-led dementia interventions on patients. Results Nurse-led interventions were more effective than standard care in alleviating depression and improving quality of life. However, they did not enhance cognitive performance. Discussion Nurse-led interventions for dementia alleviate depression and improve quality of life. However, because of lack of randomized controlled trials, the analysis found less effectiveness in improving cognitive function. Therefore, further trials are needed to corroborate these findings.

Interindividual Variability in Self-Monitoring of Blood Pressure Using Consumer-Purchased Wireless Devices

Background Engagement with self-monitoring of blood pressure (BP) declines, on average, over time but may vary substantially by individual. Objectives We aimed to describe different 1-year patterns (groups) of self-monitoring of BP behaviors, identify predictors of those groups, and examine the association of self-monitoring of BP groups with BP levels over time. Methods We analyzed device-recorded BP measurements collected by the Health eHeart Study—an ongoing prospective eCohort study—from participants with a wireless consumer-purchased device that transmitted date- and time-stamped BP data to the study through a full 12 months of observation starting from the first day they used the device. Participants received no instruction on device use. We applied clustering analysis to identify 1-year self-monitoring, of BP patterns. Results Participants had a mean age of 52 years and were male and White. Using clustering algorithms, we found that a model with three groups fit the data well: persistent daily use (9.1% of participants), persistent weekly use (21.2%), and sporadic use only (69.7%). Persistent daily use was more common among older participants who had higher Week 1 self-monitoring of BP frequency and was associated with lower BP levels than the persistent weekly use or sporadic use groups throughout the year. Conclusion We identified three distinct self-monitoring of BP groups, with nearly 10% sustaining a daily use pattern associated with lower BP levels.