Effects of Self-Management Strategies on Core Fundamental Nursing Skills Education among Nursing Students

Author(s):  
Hyo Suk Song ◽  
◽  
So Hee Lim ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 314-325
Author(s):  
Kimberly F. Frazier ◽  
Jessica Collier ◽  
Rachel Glade

Background The aim of this study was to determine the clinical efficacy of combining self-management strategies and a social thinking approach to address the social performance and executive function of an adolescent female with autism spectrum disorder. Method This research examined the effects of a social knowledge training program, “Think Social,” as well as strategies to improve higher order cognitive abilities. Results and Conclusion Although quantitative improvement was not found, several qualitative gains in behavior were noted for the participants of this study, suggesting a benefit from using structured environmental cues of self-management strategies, as well as improved social understanding through social cognitive training.


Author(s):  
Shannon Phillips ◽  
Julie Kanter ◽  
Martina Mueller ◽  
Amy Gulledge ◽  
Kenneth Ruggiero ◽  
...  

Abstract Sickle cell disease (SCD) is an inherited hemoglobinopathy that leads to blood vessel occlusion and multiorgan complications, including pain, that may be experienced daily. Symptom management often begins at home, and tools are needed to support self-management strategies that can be implemented by children with SCD and families. The purpose of this study was to assess the feasibility of the mHealth self-management intervention (application) Voice Crisis Alert V2 for children with SCD and families. Feasibility assessment was guided by the Reach, Efficacy, Adoption, Implementation, and Maintenance framework. Data were collected with 60 dyads (children with SCD/caregivers) at four time points. Self-management data were collected via application use, and postintervention interviews were conducted. Analyses included descriptive statistics and constant comparison with directed content analysis. Recruitment was completed in 28 weeks, with 82% retention at end-of-intervention. Mobile Application Rating Scale scores and interview data indicated high satisfaction. From baseline to mid-intervention, 94% of dyads used the application (75% of total use); 45% used the application from mid-intervention to the end-of-intervention. Dyads made 2,384 actions in the application; the most commonly used features were recording health history and recording and tracking symptoms. Few reported issues with the application; most issues occurred early in the study and were corrected. After the intervention period was completed, 37% continued to use the application. Feasibility was confirmed by meeting recruitment and retention goals, high adoption of the application, and high reported satisfaction with the application. Challenges with sustained use were encountered, and areas for improvement were identified.


2020 ◽  
Vol 11 (05) ◽  
pp. 769-784
Author(s):  
Ipek Ensari ◽  
Adrienne Pichon ◽  
Sharon Lipsky-Gorman ◽  
Suzanne Bakken ◽  
Noémie Elhadad

Abstract Background Self-tracking through mobile health technology can augment the electronic health record (EHR) as an additional data source by providing direct patient input. This can be particularly useful in the context of enigmatic diseases and further promote patient engagement. Objectives This study aimed to investigate the additional information that can be gained through direct patient input on poorly understood diseases, beyond what is already documented in the EHR. Methods This was an observational study including two samples with a clinically confirmed endometriosis diagnosis. We analyzed data from 6,925 women with endometriosis using a research app for tracking endometriosis to assess prevalence of self-reported pain problems, between- and within-person variability in pain over time, endometriosis-affected tasks of daily function, and self-management strategies. We analyzed data from 4,389 patients identified through a large metropolitan hospital EHR to compare pain problems with the self-tracking app and to identify unique data elements that can be contributed via patient self-tracking. Results Pelvic pain was the most prevalent problem in the self-tracking sample (57.3%), followed by gastrointestinal-related (55.9%) and lower back (49.2%) pain. Unique problems that were captured by self-tracking included pain in ovaries (43.7%) and uterus (37.2%). Pain experience was highly variable both across and within participants over time. Within-person variation accounted for 58% of the total variance in pain scores, and was large in magnitude, based on the ratio of within- to between-person variability (0.92) and the intraclass correlation (0.42). Work was the most affected daily function task (49%), and there was significant within- and between-person variability in self-management effectiveness. Prevalence rates in the EHR were significantly lower, with abdominal pain being the most prevalent (36.5%). Conclusion For enigmatic diseases, patient self-tracking as an additional data source complementary to EHR can enable learning from the patient to more accurately and comprehensively evaluate patient health history and status.


RMD Open ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. e001647
Author(s):  
Andréa Marques ◽  
Eduardo Santos ◽  
Elena Nikiphorou ◽  
Ailsa Bosworth ◽  
Loreto Carmona

ObjectiveTo perform a systematic review (SR) on the effectiveness of self-management interventions, in order to inform the European League Against Rheumatism Recommendations for its implementation in patients with inflammatory arthritis (IA).MethodsThe SR was conducted according to the Cochrane Handbook and included adults (≥18 years) with IA. The search strategy was run in Medline through PubMed, Embase, Cochrane Library, CINAHL Plus with Full Text, and PEDro. The assessment of risk of bias, data extraction and synthesis were performed by two reviewers independently. A narrative Summary of Findings was provided according to the Grading of Recommendations, Assessment, Development and Evaluation.ResultsFrom a total 1577 references, 57 were selected for a full-text review, and 32 studies fulfilled the inclusion criteria (19 randomised controlled trials (RCTs) and 13 SRs). The most studied self-management components were specific interactive disease education in ten RCTs, problem solving in nine RCTs, cognitive–behavioural therapy in eight RCTs, goal setting in six RCTs, patient education in five RCTs and response training in two RCTs. The most studied interventions were multicomponent or single exercise/physical activity in six SRs, psychosocial interventions in five SRs and education in two SRs. Overall, all these specific components and interventions of self-management have beneficial effects on IAs-related outcomes.ConclusionsThe findings confirm the beneficial effect of the self-management interventions in IA and the importance of their implementation. Further research should focus on the understanding that self-management is a complex intervention to allow the isolation of the effectiveness of its different components.


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