Background: The rapid advancements in digital technology and its increasing integration into healthcare create an opportunity to leverage these innovations for enhancing nursing quality management. Objective: This paper aims to report the results of a concept analysis of digital nursing quality management. Methods: Rodgers' Evolutionary Method of concept analysis was used to examine the attributes, antecedents, consequences, and related concepts of digital nursing quality management. Findings: Digital Nursing Quality Management is a strategic management approach that systematically utilizes evolving digital technology to pursue optimal nursing quality, guided by the timeless principle of humanistic care. The defining attributes are human-machine collaborativeness, interactive empowerment, and digital ecosystem. Discussion: Incorporating Digital Nursing Quality Management as a supplement to traditional quality management approaches could contribute to improved patient care and healthcare outcomes. Consequently, Digital Nursing Quality Management should receive increased attention in nursing practice, education, and research. Standardized definitions of digital nursing quality management should guide future research and policy development.
BACKGROUND Chronic wounds have a serious impact on patients’ quality of life and place a significant strain on global finances and healthcare systems. Mobile health (mHealth) technology in various forms has been proposed as an important modality for the management of chronic wounds. However, existing studies on the efficacy of mHealth interventions for chronic wound management produce inconclusive results due to the complexity of wound etiology and the diversity of mHealth delivery methods. OBJECTIVE The purpose of this study was to conduct a systematic review and meta-analysis of the current evidence on mHealth in the management of patients with chronic wounds, and determine whether mHealth-supported interventions were more beneficial for chronic wound outcomes than conventional care. METHODS Eligible randomized controlled trials (RCTs), cohort studies, and quasi-experimental studies published from the date of inception to December 1,2022, were identified by searching Pubmed, Web of Science, EMBASE, Cochrane Library, CINAHL, China Knowledge Resource Integrated Database (CNKI), Wanfang Database, Weipu Database (VIP), and Chinese Biomedical Database (CBM). Studies were evaluated independently by two researchers and audited by a third researcher. We assessed the quality of each RCTs, cohort study, and quasi-experimental study separately using the Cochrane risk of bias tool, ROBINS-I, and the Joanna Briggs Institute Critical Appraisal tools checklists. Continuous and dichotomous data were extracted for relevant outcomes and analyzed in a random effect meta-analysis model using RevMan5.4.1 software. RESULTS Twenty-four studies with 7945 patients were included in this systematic review, while only 19 studies with 6355 patients were included in the meta-analysis. The combined effect estimate showed no significant differences between the mHealth and control groups in terms of wound healing (RR 1.15,95% CI 0.94-1.40; P=.17), adverse events (RR 0.54, 95% CI 0.26-1.10; P=.09), or all-cause mortality around one year (RR 1.19,95% CI 0.66-2.14; P=.57). Compared with the control group, the use of mHealth was associated with significant changes in PUSH-score (MD -2.37, 95% CI -2.82 to -1.92; P<.001). Although meta-analysis was not possible in terms of wound size, cost analysis, patient satisfaction, and wound reporting rates, most studies still demonstrated that mHealth was not inferior to conventional care in managing chronic wounds. CONCLUSIONS The findings of our study demonstrate the viability of adopting mHealth to treat chronic wounds. However, larger, high-quality randomized controlled trials are needed to strengthen the evidence, and further clinical effectiveness research needs to be done in greater detail. CLINICALTRIAL PROSPERO CRD42023392415; https://www.crd.york.ac.uk/prospero/display_record.php?ID=392415
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.