scholarly journals Effects of a Proactive Interdisciplinary Self-Management Program on Patient Self-Efficacy and Participation During Practice Nurse Consultations: A Randomized Controlled Trial in Type 2 Diabetes

2020 ◽  
Vol 12 (2) ◽  
pp. 79-89
Author(s):  
Esther du Pon ◽  
Ad van Dooren ◽  
Nanne Kleefstra ◽  
Sandra van Dulmen
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chontira Riangkam ◽  
Aurawamon Sriyuktasuth ◽  
Kanaungnit Pongthavornkamol ◽  
Worapan Kusakunniran ◽  
Apiradee Sriwijitkamol

PurposeThis study aimed to examine the effects of a three-month mobile health diabetes self-management program (MHDSMP) on glycemic control, diabetes self-management (DSM) behaviors and patient satisfaction in adults with uncontrolled type 2 diabetes (T2DM) in Thailand.Design/methodology/approachThis was a three-arm, parallel-group, randomized controlled trial among 129 adults with uncontrolled T2DM who attended the medical outpatient department in a medical center. The participants were randomly assigned to the three study groups (n = 43 per group), including MHDSMP, telephone follow-up (TF) and usual care (UC). MHDSMP encompassed four components, including DSM engagement, DSM mobile application, motivational text messages and telephone coaching. Outcomes were evaluated at three-month end-of-study by using HbA1C and response to the Summary of Diabetes Self-Care Activities (SDSCA) and the Client Satisfaction Questionnaire (CSQ-8). Data were analyzed by using descriptive statistics and multivariate analysis of covariance (MANCOVA).FindingsThe findings revealed that at the end-of-study, HbA1C decreased from 7.80 to 7.17% (p < 0.001) in MHDSMP group, from 7.72 to 7.65% (p = 0.468) in TF group, and from 7.89 to 7.72% (p = 0.074) in UC group. Significantly higher SDSCA and CSQ-8 scores were also observed in MHDSMP compared to TF and UC groups (F = 12.283, F = 19.541, F = 8.552, p < 0.001, respectively).Originality/valueThis study demonstrated that MHDSMP adjunct with usual care is beneficial for patient outcomes in adults with uncontrolled T2DM in Thailand, compared to TF and UC groups.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Esther du Pon ◽  
Nanne Kleefstra ◽  
Frits Cleveringa ◽  
Ad van Dooren ◽  
Eibert R. Heerdink ◽  
...  

Online care platforms can support patients with type 2 diabetes (T2DM) in managing their health. However, in the use of eHealth, a low participation rate is common. The Proactive Interdisciplinary Self-Management (PRISMA) program, aimed at improving patients’ self-management skills, was expected to encourage patients to manage their disease through the use of an online platform. Therefore, the objective of the current study was to investigate whether a group education program can improve the use of an online care platform in patients with T2DM treated by primary care providers in the Netherlands. In a randomized controlled trial, patients with T2DM received either PRISMA with usual care or usual care only. During a six-month follow-up period in 2014-2015, usage (number of log-ons and time spent per session) of an online care platform (e-Vita) aimed at improving T2DM self-management was assessed. A training about the functionalities of e-Vita was offered. The sample consisted of 203 patients. No differences were found between the intervention and control groups in the number of patients who attended the platform training (interested patients) (X21=0.58; p=0.45), and the number of patients who logged on at least once (platform users) (X21=0.46; p=0.50). In addition, no differences were found between the groups in the type of users—patients who logged on twice or more (active users) or patients who logged on once (nonactive users) (X21=0.56; p=0.45). The PRISMA program did not change platform usage in patients with T2DM. In addition, only a small proportion of the patients logged on twice or more. Patients probably need other encouragements to manage their condition using an online platform.


2017 ◽  
Author(s):  
Sheridan Miyamoto ◽  
Madan Dharmar ◽  
Sarina Fazio ◽  
Yajarayma Tang-Feldman ◽  
Heather M Young

BACKGROUND Chronic diseases, including diabetes mellitus, are the leading cause of mortality and disability in the United States. Current solutions focus primarily on diagnosis and pharmacological treatment, yet there is increasing evidence that patient-centered models of care are more successful in improving and addressing chronic disease outcomes. OBJECTIVE The objective of this clinical trial is to evaluate the impact of a mobile health (mHealth) enabled nurse health coaching intervention on self-efficacy among adults with type-2 diabetes mellitus. METHODS A randomized controlled trial was conducted at an academic health system in Northern California. A total of 300 participants with type-2 diabetes were scheduled to be enrolled through three primary care clinics. Participants were randomized to either usual care or intervention. All participants received training on use of the health system patient portal. Participants in the intervention arm received six scheduled health-coaching telephone calls with a registered nurse and were provided with an activity tracker and mobile application that integrated data into the electronic health record (EHR) to track their daily activity and health behavior decisions. All participants completed a baseline survey and follow-up surveys at 3 and 9 months. Primary and secondary outcomes include diabetes self-efficacy, hemoglobin A1c (HbA1c), and quality of life measures. RESULTS Data collection for this trial, funded by the Patient-Centered Outcomes Research Institute, will be completed by December 2017. Results from the trial will be available mid-2018. CONCLUSIONS This protocol details a patient-centered intervention using nurse health coaching, mHealth technologies, and integration of patient-generated data into the EHR. The aim of the intervention is to enhance self-efficacy and health outcomes by providing participants with a mechanism to track daily activity by offering coaching support to set reasonable and attainable health goals, and by creating a complete feedback loop by bringing patient-generated data into the EHR. CLINICALTRIAL ClinicalTrials.gov NCT02672176; https://clinicaltrials.gov/ct2/show/NCT02672176 (Archived by WebCite at http://www.webcitation.org/6xEQXe1M5)


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