Online Diabetes Self-Management Program

Background: Self-management after myocardial infarction is fundamental to effective medical treatment. Objectives: The current study aimed to investigate the effects of applying the continuous care model on self-management of a sample of Iranian patients with post-myocardial infarction. Methods: Sixty hospitalized patients were randomly allocated into control (n = 30) and intervention (n = 30) groups. Before the intervention and at the end of it, self-management of both groups was evaluated by chronic disease self-management questionnaire. The continuous care model was performed for the intervention group for three months. The data were analyzed by SPSS version 16. In addition to descriptive statistical tests, Chi-square, the exact Fisher, Willcoxon and Mann-Whitney, and analysis of covariance (ANCOVA) tests were used. The significant level was set at P < 0.05. Results: There was no significant difference between the two groups in terms of sub-dimensions of self-management scores before the intervention (P > 0.05). At the end of the intervention, in all self-management sub-dimensions expect for shortness of breath, the status of intervention group improved significantly more than that of the control group (P < 0.005). Moreover, mean of changes in all sub-dimensions of self-management showed no significant difference, but fatigue and health care utilization between the two groups had significant difference. Conclusions: The continuous care model can be considered as a useful tool to improve patients' self-management after myocardial infarction.

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“…2017; 6(1):e37555. 5 up from six to eighteen months periods showed improved self-management in health distress dimension (23).…”

Section: Discussionmentioning

confidence: 91%

Continuous Care Model and the Self-Management in Post-Myocardial Infarction Patients: A Randomized Controlled Trial

Akbari

Vagharseyyedin

Toba

et al. 2016

Jundishapur J Chronic Dis Care

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“…Mental health can be enhanced when peer health is present. For example, peer health can improve coping [3], increase psychosocial support [4][5][6][7][8][9][10][11], and decrease diabetes distress [12] by means of shared experiences [7,8,10,13,14]. Peer health can also increase patient knowledge [4,15,16], confidence in diabetes management [17], self-efficacy [12,18,19], and improve glycosylated hemoglobin (A1C) [12,16,[20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

The Diabetes Mixer: Fostering a Diabetes Community to Support Peer Health

Litchman¹,

Tran²

2016

PLAID

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Objective: Opportunities for individuals affected by type 1 diabetes (T1D) to engage in peer health activities are limited. The Diabetes Mixer is a community-based, non-clinical, face-to-face, peer health event for adults with T1D and their support person. The purpose of this paper is to 1) provide a program description of the Diabetes Mixer, and 2) analyze attendee perceptions of the Diabetes Mixer. Research Design and Method:An analysis was conducted with Diabetes Mixer attendees to understand their perceptions of the event. Attendees included individuals with T1D and their support person. Surveys included quantitative and qualitative questions and were completed by attendees at the conclusion of the Diabetes Mixer. A descriptive analysis was conducted.Results: Both individuals with T1D and support persons valued the Diabetes Mixer as a peer health event. All attendees stated they would attend a future Diabetes Mixer. Attendees planned to continue their relationship with the individuals they met at the Diabetes Mixer beyond the event, in-person, and through social media. Three themes were identified: building a community, connection through common experiences, and a fun venue to gain resources. Conclusions:The Diabetes Mixer is a feasible, successful peer health event that provides education and support to individuals with T1D and their support person in a judgment-free atmosphere. Diabetes stakeholders should work together to develop peer-support resources for adults with T1D in non-clinical settings. Further research is needed to identify how interactions with peers can support diabetes management.

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“…[18][19][20][21][22][23] For example, an intervention designed to increase patients' skills in formulating questions during an office visit with a physician was tested on a group of low-income patients enrolled in a safety-net health care program. The intervention was determined to be successful in increasing patients' activation and asking of questions.…”

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confidence: 99%

Patients With Lower Activation Associated With Higher Costs; Delivery Systems Should Know Their Patients’ ‘Scores’

2013

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Patient activation is a term that describes the skills and confidence that equip patients to become actively engaged in their health care. Health care delivery systems are turning to patient activation as yet another tool to help them and their patients improve outcomes and influence costs. In this article we examine the relationship between patient activation levels and billed care costs. In an analysis of 33,163 patients of Fairview Health Services, a large health care delivery system in Minnesota, we found that patients with the lowest activation levels had predicted average costs that were 8 percent higher in the base year and 21 percent higher in the first half of the next year than the costs of patients with the highest activation levels, both significant differences. What's more, patient activation was a significant predictor of cost even after adjustment for a commonly used "risk score" specifically designed to predict future costs. As health care delivery systems move toward assuming greater accountability for costs and outcomes for defined patient populations, knowing patients' ability and willingness to manage their health will be a relevant piece of information integral to health care providers' ability to improve outcomes and lower costs.

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Online Diabetes Self-Management Program

Cited by 294 publications

References 22 publications

Continuous Care Model and the Self-Management in Post-Myocardial Infarction Patients: A Randomized Controlled Trial

Continuous Care Model and the Self-Management in Post-Myocardial Infarction Patients: A Randomized Controlled Trial

The Diabetes Mixer: Fostering a Diabetes Community to Support Peer Health

Patients With Lower Activation Associated With Higher Costs; Delivery Systems Should Know Their Patients’ ‘Scores’

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