Preventative Diabetes Self-Care Management Practices among Individuals with Diabetes and Mental Health Stress

Author(s):  
DeLawnia Comer-HaGans ◽  
Shamly Austin ◽  
Zo Ramamonjiarivelo ◽  
Ledric D. Sherman
2019 ◽  
Vol 7 (1) ◽  
pp. 218-229
Author(s):  
WILLIAMS KWASI PEPRAH ◽  
GIFTY TANO ◽  
Fiskvik Boahemaa Antwi ◽  
Simon Akwasi Osei

Abstract   INTRODUCTION: Self-care management has become a theoretical discussion among health professionals and students. As a result of its importance, the International Council for Nurses has incorporated it in their standard of competence. Self-care encourages health and is a fundamental value of the scope and standards of practice. Nursing students are advised to have proper self-care.   METHOD: This study investigated the self-care management practices of nursing students at the Adventist University of the Philippines (AUP) and how they align with the institutional outcomes. This quantitative study conveniently samples 47 nursing students as respondents. The study adopted the Circle of Human Potential ' questionnaire by Dossey and Keegan (2009), which assessed self-care management in the areas of physical, relationship, emotional, spiritual, mental, and choice. The application for SPSS 23 was used for the descriptive and t-test analysis as demanded by the research questions.    RESULTS: The results of the study revealed that there is a positive self-care management attitude among nursing students. The ranked of self-care management from highest to the least in the order of spiritual, mental, emotional, relational, choice, and physical assessments. It further revealed that there was no significant difference in self-care management when considering the sex of the students.   DISCUSSION AND RECOMMENDATION: The outcomes of the study were in accordance with the AUP institutional outcomes of spirituality, critical thinking, professional expertise, service, health and wellness, and positive attitude. The study recommends that nursing students keep up with their positive self-care management.


2012 ◽  
Vol 30 (5) ◽  
pp. 295-305 ◽  
Author(s):  
Jennifer M. Hitt ◽  
Eva Tatum ◽  
Mary McNair ◽  
Marilyn Harrington ◽  
Sandra D. Stanton ◽  
...  

2018 ◽  
Vol 23 (7) ◽  
pp. 553-565
Author(s):  
Besher Gharaibeh ◽  
Loai Issa Tawalbeh

Background Diabetes self-care management (DSCM) is complex because various factors and relationships influence its processes. Aims This study aimed to identify the level of DSCM, compare the levels of self care between patients with type 1 and patients with type 2 diabetes, and identify significant predictors of self-care among Jordanian patients with type 1 and type 2 diabetes who were taking insulin. Methods A descriptive cross-sectional design was employed using a convenience sample of 310 Jordanian patients. The Arabic translated version of the 40-item Diabetes Self-Management Scale was used to collect data. Results The type of diabetes ( t(310) = 4.81; p < .001) and the type of medications (insulin, or insulin and tablets) ( t(310) = 4.75; p < .001) significantly affected the level of self-care. Age ( t(296) = − 3.41; p = 0.001), gender ( t(296) = −4.78; p < 0.001) training in self-care ( t(296) = 4.30; p < .001), educational level ( t(296) = 2.81, P = .005) and using traditional treatment (herbal therapy) ( t(296) = −4.64, p < .001) significantly predicted self-care and explained around 58% of the variance in self-care. Conclusions Various factors were found to influence self-care. Further research is needed to explore the complex nature of DSCM.


Author(s):  
Hanumanthappa Kudachi ◽  
Venkatesh Gonibeedu ◽  
Suresh Ramappa ◽  
Sundar Muniswamy

Background: To achieve optimal blood glucose levels educating diabetic patient alone may not be sufficient but the entire family must have access to proven preventive measure. The present study was done to assess the outcome of self-care management practices educational intervention among family member on diabetic individuals.Methods: This prospective interventional cluster randomization study was conducted in rural field practice area, attached to department of Community medicine of Hassan Institute of Medical Sciences. Clusters were formed among the population based on the sub-centres and four clusters were randomly selected. Two clusters were assigned for family intervention and two clusters with individual intervention.Results: Consuming 5 or more serving of fruits and vegetables for more than 5 days a week, increased in the FIC after education and the difference in increase was statistically significant (p<0.02). Physical activity with specific exercise sessions increase after the intervention and the increase was statistically significant in the FIC (p<0.08).  Adherence to medication and testing attained statistically significant increase in the FIC. Also washing of foot daily with luke-warm water increase was statistically significant in both the Intervention Clusters (p<0.0002). On subsequent follow up there was a significant improvement in BMI of family intervention cluster (p<0.03) as compared to individual intervention cluster.Conclusions: Health education intervention activity at the community involving the supportive members of the family can drive-in to bring about behavioural change in the desired direction. 


2020 ◽  
Author(s):  
Arfan Ahmed ◽  
Nashva ALi ◽  
Sarah Aziz ◽  
Alaa A Abd-Alrazaq ◽  
Asmaa Hassan ◽  
...  

BACKGROUND Anxiety and depression rates are at an all-time high along with other mental health disorders. Smartphone-based mental health chatbots or conversational agents can aid psychiatrists and replace some of the costly human based interaction and represent a unique opportunity to expand the availability and quality of mental health services and treatment. Regular up-to-date reviews will allow medics and individuals to recommend or use anxiety and depression related smartphone based chatbots with greater confidence. OBJECTIVE Assess the quality and characteristics of chatbots for anxiety and depression available on Android and iOS systems. METHODS A search was performed in the App Store and Google Play Store following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) protocol to identify existing chatbots for anxiety and depression. Eligibility of the chatbots was assessed by two individuals based on predefined eligibility criteria. Meta-data of the included chatbots and their characteristics were extracted from their description and upon installation by 2 reviewers. Finally, chatbots quality information was assessed by following the mHONcode principles. RESULTS Although around 1000 anxiety and depression related chatbots exist, only a few (n=11) contained actual chatbots that could provide the user a real substitute for a human-human based interaction, even with today's Artificial Intelligence advancements, only one of these chatbots had voice as an input/output modality. Of the selected apps that contained chatbots all were clearly built with a therapeutic human substitute goal in mind. The majority had high user ratings and downloads highlighting the popularity of such chatbots and their promising future within the realm of anxiety and depression. CONCLUSIONS Anxiety and depression chatbot apps have the potential to increase the capacity of mental health self-care providing much needed assistance to professionals. In the current covid-19 pandemic, chatbots can also serve as a conversational companion with the potential of combating loneliness, especially in lockdowns where there is a lack of social interaction. Due to the ubiquitous nature of chatbots users can access them on-demand at the touch of a screen on ones’ smartphone. Self-care interventions are known to be effective and exist in various forms and some can be made available as chatbot features, such as assessment, mood tracking, medicine tracking, or simply providing conversation in times of loneliness.


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