scholarly journals A Mobile App for Diabetes Management: Impact on Self-Efficacy Among Patients with Type 2 Diabetes at a Community Hospital

2020 ◽  
Vol 26 ◽  
Author(s):  
Yangkui Zhai ◽  
Wenjuan Yu
Keyword(s):  
Type 2 Diabetes ◽  
Self Efficacy ◽  
Community Hospital ◽  
Diabetes Management ◽  
Mobile App

scholarly journals Motivational Interviewing to Improve Self-efficacy in Type 2 Diabetes Management

2020 ◽  
Author(s):  
Masumeh Hemmati Maslakpak ◽  
Naser Parizad ◽  
Amir Ghahremani ◽  
Vahid Alinejad
Keyword(s):  
Type 2 Diabetes ◽  
Motivational Interviewing ◽  
Self Efficacy ◽  
Diabetes Management ◽  
Intervention Group ◽  
Significant Difference ◽  
Before And After ◽  
Quasi Experimental ◽  
The Mean

Abstract Background Self-efficacy predicts adherence to treatment in patients with diabetes. Motivational interviewing could be a promising intervention to increase the patients’ motivation to follow therapeutic recommendations. The present study aimed to assess the effects of motivational interviewing on self-efficacy in type 2 diabetes management. Methods This quasi-experimental study with a pretest-posttest design was conducted on 60 patients with type 2 diabetes, who were members of the Bukan Diabetes Association in Iran. The patients were selected using a random number table and were randomly allocated into intervention (n = 30) and control (n = 30) groups. Five motivational interviewing sessions (30–45 minutes) were held for the intervention group (two sessions per week). Data were collected using a demographic questionnaire and the diabetes management self-efficacy scale (DMSES). Data were analyzed with SPSS software version 14.0 using descriptive and inferential statistics. Results Sixty patients entered the analysis. A significant difference was observed in the mean score of diabetes management self-efficacy between the two groups before and after the intervention (P = 0.014). The mean score of self-efficacy in diabetes management was increased significantly in the intervention group after MI (P = 0.001). Conclusions Motivational interviewing improved self-efficacy in diabetes management. Thus, this approach is recommended to be used in patients with type 2 diabetes in order to increase their self-efficacy.

scholarly journals Diabetes Distress, Depressive Symptoms and Type 2 Diabetes Management and Glycemic Control: the Mediating Role of Self-efficacy

2020 ◽  
Author(s):  
Yuexia Gao ◽  
Yarong Han ◽  
Xin Zou ◽  
Judy Xu ◽  
Dean Getrude Mawen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Depressive Symptoms ◽  
Glycemic Control ◽  
Self Efficacy ◽  
Diabetes Management ◽  
Diabetes Distress ◽  
Hierarchical Regression ◽  
Psychological Variables ◽  
Diabetes Outcomes

Abstract Background: Diabetes distress has been distinguished from depressive symptoms in the linkages to type 2 diabetes management and glycemic control. There are few evidences in rural China untangled the underlying pathways among them. The aim of our study was to examine whether self-efficacy reduced the detrimental effects of psychological variables on diabetes outcomes such as self-care behaviors, glycemic control and health-related quality of life (HRQoL).Methods: 1574 adults diagnosed with type 2 diabetes from 31 rural clinics in China were assessed for psychological variables, self-management and HRQoL. Hemoglobin A1c (HbA1c) data at 6 months after the survey were extracted from electronic medical records. Hierarchical regression model examined independent effects of psychological variables, self-efficacy on diabetes outcomes. KHB method and bootstrapping confidence intervals were employed to test the mediating effect of self-efficacy.Results: Hierarchical regression analysis showed both diabetes distress and depressive symptoms were significantly related to diet and HRQoL, but not related to glycemic control and medication adherence. Depressive symptoms, but not diabetes distress, was directly associated with physical activity. Mediation analysis demonstrated self-efficacy mediated the relationships of both diabetes distress and depressive symptoms on self-care behaviors, glycemic control and HRQoL.Conclusions: Self-efficacy may contribute to better diabetes outcome by ameliorating the effects of diabetes distress and depressive symptoms. Patients with psychological conditions may need tailored intervention that enhance self-efficacy to improve diabetes management.

scholarly journals Identification of Type 2 Diabetes Management Mobile App Features and Engagement Strategies: Modified Delphi Approach (Preprint)

2019 ◽  
Author(s):  
Hanan A Alenazi ◽  
Amr Jamal ◽  
Mohammed A Batais
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Diabetes Management ◽  
Mobile App ◽  
Patient Specific ◽  
Moderate Degree ◽  
Modified Delphi ◽  
Engagement Strategies ◽  
Delphi Approach

BACKGROUND Diabetes is a significant public health issue. Saudi Arabia has the highest prevalence of type 2 diabetes mellitus (T2DM) in the Arab world. Currently, it affects 31.6% of the general population, and the prevalence of T2DM is predicted to rise to 45.36% by 2030. Mobile health (mHealth) offers improved and cost-effective care to people with T2DM. However, the efficiency of engagement strategies and features of this technology need to be reviewed and standardized according to stakeholder and expert perspectives. OBJECTIVE The main objective of this study was to identify the most agreed-upon features for T2DM self-management mobile apps; the secondary objective was to identify the most agreed-upon strategies that prompt users to use these apps. METHODS In this study, a 4-round modified Delphi method was applied by experts in the domain of diabetes care. RESULTS In total, 11 experts with a mean age of 47.09 years (SD 11.70) consented to participate in the study. Overall, 36 app features were generated. The group of experts displayed weak agreement in their ranking of intervention components (Kendall W=0.275; <i>P</i>&lt;.001). The top 5 features included insulin dose adjustment according to carbohydrate counting and blood glucose readings (5.36), alerting a caregiver of abnormal or critical readings (6.09), nutrition education (12.45), contacts for guidance if required (12.64), and offering patient-specific education tailored to the user’s goals, needs, and blood glucose readings (12.90). In total, 21 engagement strategies were generated. Overall, the experts showed a moderate degree of consensus in their strategy rankings (Kendall W=0.454; <i>P</i>&lt;.001). The top 5 engagement strategies included a user-friendly design (educational and age-appropriate design; 2.82), a free app (3.73), allowing the user to communicate or send information/data to a health care provider (HCP; 5.36), HCPs prescribing the mobile app in the clinic and asking about patients’ app use compliance during clinical visits (6.91), and flexibility and customization (7.91). CONCLUSIONS This is the first study in the region consisting of a local panel of experts from the diabetes field gathering together. We used an iterative process to combine the experts’ opinions into a group consensus. The results of this study could thus be useful for health app developers and HCPs and inform future decision making on the topic.

scholarly journals Identification of Type 2 Diabetes Management Mobile App Features and Engagement Strategies: Modified Delphi Approach

10.2196/17083 ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. e17083
Author(s):  
Hanan A Alenazi ◽  
Amr Jamal ◽  
Mohammed A Batais
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Diabetes Management ◽  
Mobile App ◽  
Patient Specific ◽  
Moderate Degree ◽  
Modified Delphi ◽  
Engagement Strategies ◽  
Delphi Approach

Background Diabetes is a significant public health issue. Saudi Arabia has the highest prevalence of type 2 diabetes mellitus (T2DM) in the Arab world. Currently, it affects 31.6% of the general population, and the prevalence of T2DM is predicted to rise to 45.36% by 2030. Mobile health (mHealth) offers improved and cost-effective care to people with T2DM. However, the efficiency of engagement strategies and features of this technology need to be reviewed and standardized according to stakeholder and expert perspectives. Objective The main objective of this study was to identify the most agreed-upon features for T2DM self-management mobile apps; the secondary objective was to identify the most agreed-upon strategies that prompt users to use these apps. Methods In this study, a 4-round modified Delphi method was applied by experts in the domain of diabetes care. Results In total, 11 experts with a mean age of 47.09 years (SD 11.70) consented to participate in the study. Overall, 36 app features were generated. The group of experts displayed weak agreement in their ranking of intervention components (Kendall W=0.275; P<.001). The top 5 features included insulin dose adjustment according to carbohydrate counting and blood glucose readings (5.36), alerting a caregiver of abnormal or critical readings (6.09), nutrition education (12.45), contacts for guidance if required (12.64), and offering patient-specific education tailored to the user’s goals, needs, and blood glucose readings (12.90). In total, 21 engagement strategies were generated. Overall, the experts showed a moderate degree of consensus in their strategy rankings (Kendall W=0.454; P<.001). The top 5 engagement strategies included a user-friendly design (educational and age-appropriate design; 2.82), a free app (3.73), allowing the user to communicate or send information/data to a health care provider (HCP; 5.36), HCPs prescribing the mobile app in the clinic and asking about patients’ app use compliance during clinical visits (6.91), and flexibility and customization (7.91). Conclusions This is the first study in the region consisting of a local panel of experts from the diabetes field gathering together. We used an iterative process to combine the experts’ opinions into a group consensus. The results of this study could thus be useful for health app developers and HCPs and inform future decision making on the topic.

scholarly journals Diabetes Distress, Depressive Symptoms and Type 2 Diabetes Management and Glycemic Control: The Mediating Role of Self-Efficacy

2020 ◽  
Author(s):  
Yuexia Gao ◽  
Yarong Han ◽  
Xin Zou ◽  
Judy Xu ◽  
Dean Getrude Mawen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Depressive Symptoms ◽  
Glycemic Control ◽  
Self Efficacy ◽  
Diabetes Management ◽  
Self Care ◽  
Diabetes Distress ◽  
Psychological Variables ◽  
Diabetes Outcomes

Abstract BackgroundDiabetes distress has been distinguished from depressive symptoms in the linkages to type 2 diabetes management and glycemic control. There are few evidences in rural China untangled the underlying pathways among them. The aim of our study was to examine whether self-efficacy reduced the detrimental effects of psychological variables on diabetes outcomes such as self-care behaviors, glycemic control and health-related quality of life (HRQoL).Methods1574 adults diagnosed with type 2 diabetes from 31 rural clinics in China were assessed for psychological variables, self-management and HRQoL. Hemoglobin A1c (HbA1c) data at 6 months after the survey were extracted from electronic medical records. Hierarchical regression model examined independent effects of psychological variables, self-efficacy on diabetes outcomes. KHB method and bootstrapping confidence intervals were employed to test the mediating effect of self-efficacy.ResultsHierarchical regression analysis showed both diabetes distress and depressive symptoms were significantly related to diet and HRQoL, but not related to glycemic control and medication adherence. Depressive symptoms, but not diabetes distress, was directly associated with physical activity. Mediation analysis demonstrated self-efficacy mediated the relationships of both diabetes distress and depressive symptoms on self-care behaviors, glycemic control and HRQoL.ConclusionsSelf-efficacy may contribute to better diabetes outcome by ameliorating the effects of diabetes distress and depressive symptoms. Patients with psychological conditions may need tailored intervention that enhance self-efficacy to improve diabetes management.

scholarly journals A Personalized Mobile Health Program for Type 2 Diabetes During the COVID-19 Pandemic: Single-Group Pre–Post Study (Preprint)

2020 ◽  
Author(s):  
Ian Yi Han Ang ◽  
Kyle Xin Quan Tan ◽  
Clive Tan ◽  
Chiew Hoon Tan ◽  
James Wei Ming Kwek ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Disease ◽  
Disease Management ◽  
Mobile Health ◽  
Intervention Program ◽  
Chronic Disease Management ◽  
Diabetes Management ◽  
Mobile App ◽  
Diabetes Status

BACKGROUND With increasing type 2 diabetes prevalence, there is a need for effective programs that support diabetes management and improve type 2 diabetes outcomes. Mobile health (mHealth) interventions have shown promising results. With advances in wearable sensors and improved integration, mHealth programs could become more accessible and personalized. OBJECTIVE The study aimed to evaluate the feasibility, acceptability, and effectiveness of a personalized mHealth-anchored intervention program in improving glycemic control and enhancing care experience in diabetes management. The program was coincidentally implemented during the national-level lockdown for COVID-19 in Singapore, allowing for a timely study of the use of mHealth for chronic disease management. METHODS Patients with type 2 diabetes or prediabetes were enrolled from the Singapore Armed Forces and offered a 3-month intervention program in addition to the usual care they received. The program was standardized to include (1) in-person initial consultation with a clinical dietitian; (2) in-person review with a diabetes specialist doctor; (3) 1 continuous glucose monitoring device; (4) access to the mobile app for dietary intake and physical activity tracking, and communication via messaging with the dietitian and doctor; and (5) context-sensitive digital health coaching over the mobile app. Medical support was rendered to the patients on an as-needed basis when they required advice on adjustment of medications. Measurements of weight, height, and glycated hemoglobin A<sub>1c</sub> (HbA<sub>1c</sub>) were conducted at 2 in-person visits at the start and end of the program. At the end of the program, patients were asked to complete a short acceptability feedback survey to understand the motivation for joining the program, their satisfaction, and suggestions for improvement. RESULTS Over a 4-week recruitment period, 130 individuals were screened, the enrollment target of 30 patients was met, and 21 patients completed the program and were included in the final analyses; 9 patients were lost to follow-up (full data were not available for the final analyses). There were no differences in the baseline characteristics between patients who were included and excluded from the final analyses (age category: <i>P</i>=.23; gender: <i>P</i>=.21; ethnicity: <i>P</i>&gt;.99; diabetes status category: <i>P</i>=.52, medication adjustment category: <i>P</i>=.65; HbA<sub>1c</sub> category: <i>P</i>=.69; BMI: <i>P</i>&gt;.99). The 21 patients who completed the study rated a mean of 9.0 out of 10 on the Likert scale for both satisfaction questions. For the Yes-No question on benefit of the program, all of the patients selected “Yes.” Mean HbA<sub>1c</sub> decreased from 7.6% to 7.0% (<i>P</i>=.004). There were no severe hypoglycemia events (glucose level &lt;3.0 mmol/L) reported. Mean weight decreased from 76.8 kg to 73.9 kg (<i>P</i>&lt;.001), a mean decrease of 3.5% from baseline weight. Mean BMI decreased from 27.8 kg/m<sup>2</sup> to 26.7 kg/m<sup>2</sup> (<i>P</i>&lt;.001). CONCLUSIONS The personalized mHealth program was feasible, acceptable, and produced significant reductions in HbA<sub>1c</sub> (<i>P</i>=.004) and body weight (<i>P</i>&lt;.001) in individuals with type 2 diabetes. Such mHealth programs could overcome challenges posed to chronic disease management by COVID-19, including disruptions to in-person health care access. CLINICALTRIAL

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