10 research outputs found
Predictors of Hospital Admissions Based on Routinely Collected Everyday Observations in a Community Care Setting
Predicting Preventable Hospitalizations among Elderly Recipients of Home Care:a Study Protocol
Reablement professionals' perspectives on client characteristics and factors associated with successful home-based reablement:a qualitative study
Abstract Background To understand what is needed to achieve a successful Danish home-based reablement service from the perspective of reablement professionals. Methods Semi-structured interviews and observations were conducted with nine professionals within a municipal visitation unit in the Northern Denmark Region. Thematic analysis was used to analyze the interviews. Results Four major themes emerged during this study: “Heterogeneity of clients and mixed attitudes towards the reablement intervention”, “Shared understanding and acknowledging the need for help as the first step in reablement”, “Commitment and motivation are essential for successful reablement”, and “Homecare helpers as most important team players”. The findings indicate that the clients had both mixed characteristics and attitudes about participating in the reablement intervention. Essential factors for successful reablement included a shared understanding of the reablement intervention, commitment, and motivation in terms of client involvement and staff group collaboration. Conclusions Shared understanding of the reablement intervention, commitment, and motivation was found to be essential factors and the driving forces in relation to successful reablement
Preliminary Qualitative Evaluation of Patient-Related Perspectives Related to the Implementation of a Predictive Algorithm in a Telehealth System for COPD
Clinical implementation of an algorithm for predicting exacerbations in patients with COPD in telemonitoring:a study protocol for a single-blinded randomized controlled trial
BACKGROUND: Acute exacerbations have a significant impact on patients with COPD by accelerating the decline in lung function leading to decreased health-related quality of life and survival time. In telehealth, health care professionals exercise clinical judgment over a physical distance. Telehealth has been implemented as a way to monitor patients more closely in daily life with an intention to intervene earlier when physical measurements indicate that health deteriorates. Several studies call for research investigating the ability of telehealth to automatically flag risk of exacerbations by applying the physical measurements that are collected as part of the monitoring routines to support health care professionals. However, more research is needed to further develop, test, and validate prediction algorithms to ensure that these algorithms improve outcomes before they are widely implemented in practice. METHOD: This trial tests a COPD prediction algorithm that is integrated into an existing telehealth system, which has been developed from the previous Danish large-scale trial, TeleCare North (NCT: 01984840). The COPD prediction algorithm aims to support clinical decisions by predicting the risk of exacerbations for patients with COPD based on selected physiological parameters. A prospective, parallel two-armed randomized controlled trial with approximately 200 participants with COPD will be conducted. The participants live in Aalborg municipality, which is located in the North Denmark Region. All participants are familiar with the telehealth system in advance. In addition to the participants’ usual weekly monitored measurements, they are asked to measure their oxygen saturation two more times a week during the trial period. The primary outcome is the number of exacerbations defined as an acute hospitalization from baseline to follow-up. Secondary outcomes include changes in health-related quality of life measured by both the 12-Item Short Form Survey version 2 and EuroQol-5 Dimension Questionnaire as well as the incremental cost-effectiveness ratio. DISCUSSION: This trial seeks to explore whether the COPD prediction algorithm has the potential to support early detection of exacerbations in a telehealth setting. The COPD prediction algorithm may initiate timely treatment, which may decrease the number of hospitalizations. TRIAL REGISTRATION: NCT05218525 (pending at clinicaltrials.gov) (date, month, year
Population exacerbation incidence contains predictive information of acute exacerbations in patients with chronic obstructive pulmonary disease in telecare
Effectiveness of telemedicine in managing diabetes in pregnancy:a systematic review and meta-analysis
Additional file 2 of Reablement professionals’ perspectives on client characteristics and factors associated with successful home-based reablement: a qualitative study
Additional file 2. The COREQ checklist
Additional file 1 of Reablement professionals’ perspectives on client characteristics and factors associated with successful home-based reablement: a qualitative study
Additional file 1. The interview guide
Reablement professionals’ perspectives on client characteristics and factors associated with successful home-based reablement: a qualitative study
Abstract Background To understand what is needed to achieve a successful Danish home-based reablement service from the perspective of reablement professionals. Methods Semi-structured interviews and observations were conducted with nine professionals within a municipal visitation unit in the Northern Denmark Region. Thematic analysis was used to analyze the interviews. Results Four major themes emerged during this study: “Heterogeneity of clients and mixed attitudes towards the reablement intervention”, “Shared understanding and acknowledging the need for help as the first step in reablement”, “Commitment and motivation are essential for successful reablement”, and “Homecare helpers as most important team players”. The findings indicate that the clients had both mixed characteristics and attitudes about participating in the reablement intervention. Essential factors for successful reablement included a shared understanding of the reablement intervention, commitment, and motivation in terms of client involvement and staff group collaboration. Conclusions Shared understanding of the reablement intervention, commitment, and motivation was found to be essential factors and the driving forces in relation to successful reablement