scholarly journals Development of the IMB Model and an Evidence-Based Diabetes Self-management Mobile Application

2018 ◽  
Vol 24 (2) ◽  
pp. 125 ◽  
Author(s):  
Eunjoo Jeon ◽  
Hyeoun-Ae Park
Keyword(s):  
Mobile Application ◽  
Self Management ◽  
Evidence Based ◽  
Imb Model

INNV-41. MY STORI – A SYMPTOM TRACKING AND REPORTING INSTRUMENT MOBILE APPLICATION FOR BRAIN TUMOR PATIENTS

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi114-vi114
Author(s):  
Orieta Celiku ◽  
Kristin Odom ◽  
Mahendar Ramidi ◽  
Terri Armstrong
Keyword(s):  
Health Care ◽  
Brain Tumor ◽  
Patient Care ◽  
Mobile Applications ◽  
Symptom Management ◽  
Mobile Application ◽  
Self Care ◽  
Self Management ◽  
Evidence Based ◽  
Tumor Patients

Abstract INTRODUCTION Managing symptom burden is an integral part of brain tumor patient care, but tools to facilitate tracking symptoms and self-management for this population are lacking. Reporting is often limited to self-report as part of clinical follow-up care, or episodic between visits if symptoms are severe. While general-purpose and cancer-specific mobile applications that track medical symptoms are becoming more prevalent, they may not cover the entire range of symptoms experienced by patients with brain tumors or allow tracking of self-management strategies. METHODS We developed an iOS operating system mobile application using Apple’s UIKit, Foundation, WebKit, and Core Graphics frameworks. Core Data and iCloud were used to implement local and cloud-based data storage for personal use. Findings from our Outcomes Surveys informed selection of core symptoms to track. A multidisciplinary team of neuro-oncology scientists, providers, and communication specialists developed self-care content from evidence-based sources. RESULTS We developed My STORI, a free mobile application to capture the experiences of brain tumor patients. Patients and their family members can track daily symptoms and their impact on function and record any actions that were taken to mitigate them. Evidence-based self-care information on how to recognize, manage, and report symptoms is provided. Graphical summaries of how these symptoms evolve over time, and how they are impacted by clinical appointments, treatment, and self-care activities can be displayed and compiled into reports that can be shared with their care team, family, or health care record. CONCLUSIONS Mobile applications have the potential to promote self-care, facilitate symptom management, and enable intuitive, frequent, and convenient reporting of clinically relevant data to the health-care team. The My STORI application is an innovation in patient care guided by evidence-based research and can be used to track symptom management, promote self-care, and enhance communication to improve clinical care and research.

Life Goals self-management mobile application for bipolar disorder: consumer feasibility, usability, and acceptability (Preprint)

2021 ◽  
Author(s):  
Kelly A. Ryan ◽  
Shawna N. Smith ◽  
Anastasia K. Yocum ◽  
Isabel Carley ◽  
Celeste Liebrecht ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Mobile Application ◽  
Psychiatric Symptoms ◽  
Well Being ◽  
Small Sample ◽  
Ease Of Use ◽  
Life Goals ◽  
Self Management ◽  
Evidence Based ◽  
User Engagement

BACKGROUND Life Goals is an evidence-based self-management intervention that assist individuals with bipolar disorder (BD) by aligning BD symptom coping strategies with their personal goals. It is available for in-person and telephone sessions, and has been recently developed as an individualized, customizable mobile application (app). OBJECTIVE We examined the feasibility, usability, and acceptability of the Life Goals self-management app among individuals diagnosed with BD who used the app for up to six months. METHODS Twenty-eight participants with BD used the Life Goals app on their personal smartphone for six months. They completed key clinical outcome measurements of functioning, disability, and psychiatric symptoms at baseline, three-, and six-months and a post-study survey about usability and satisfaction. RESULTS Participants used the app a median of 25 times (interquartile range [IQR]: 13, 65.75), and for greater minutes during the first three months of the study. Depression and Anxiety modules were the most frequently used, accounting for 35% and 22% of usage respectively. Overall participants found the app useful (60%), easy to use (72%), and the screen displayed material adequately (88%), but under half found the app helpful in managing their health (40%) or in making progress on their wellness goals (36%). Clinical outcomes showed a trend for improvements in mental and physical health and mania-related well-being. CONCLUSIONS The Life Goals app showed feasibility of use among individuals with bipolar disorder. There was greater user engagement in the initial three months with user interests most frequently with the mood modules compared to other wellness modules. Participants showed acceptability with ease of use and satisfaction with user interface but showed less success in encouraging self-management in this small sample. The Life Goals app is a mHealth technology that can allow those with serious mental illness more flexible access to evidence-based treatments.

A patient-centered mobile intervention to promote self-management and improve patient outcomes in chronic heart failure: The ManageHF4Life trial (Preprint)

2020 ◽  
Author(s):  
Michael P. Dorsch ◽  
Karen B. Farris ◽  
Brigid E. Rowell ◽  
Scott L. Hummel ◽  
Todd M. Koelling
Keyword(s):  
Heart Failure ◽  
Mobile Application ◽  
Controlled Trial ◽  
Intervention Group ◽  
Self Care ◽  
Self Management ◽  
Control Group ◽  
Patient Centered ◽  
Self Monitoring ◽  
Heart Failure Questionnaire

BACKGROUND Successful management of heart failure (HF) involves guideline based medical therapy as well as self-care behavior. As a result, the management of HF is moving toward a proactive real-time technological model of assisting patients with monitoring and self-management. OBJECTIVE Evaluate the effectiveness of a mobile application intervention that enhances self-monitoring on health-related quality of life, self-management, and reduces HF readmissions. METHODS A single-center randomized controlled trial was performed. Patients greater than 45 years of age and admitted for acute decompensated HF or recently discharged in the past 4 weeks were included. The intervention group used a mobile application (App). The intervention prompted daily self-monitoring and promoted self-management. The control group (No App) received usual care. The primary outcome was the change in Minnesota Living with Heart Failure Questionnaire (MLHFQ) from baseline to 6 and 12 weeks. Secondary outcomes were the Self-Care Heart Failure Index (SCHFI) questionnaire and recurrent HF admissions. RESULTS Eighty-three patients were enrolled and completed all baseline assessments. Baseline characteristics were similar between groups with the exception of HF etiology. The App group had a reduced MLHFQ at 6 weeks (37.5 ± 3.5 vs. 48.2 ± 3.7, P=0.039) but not at 12 weeks (44.2 ± 4 vs. 45.9 ± 4, P=0.778) compared to No App. There was no effect of the App on the SCHFI at 6 or 12 weeks. The time to first HF admission was not statistically different between the App versus No App groups (HR 0.89, 95% CI 0.39-2.02, P=0.781) over 12 weeks. CONCLUSIONS The mobile application intervention improved MLHFQ at 6 weeks, but did not sustain its effects at 12 weeks. No effect was seen on HF self-care. Further research is needed to enhance engagement in the application for a longer period of time and to determine if the application can reduce HF admissions in a larger study. CLINICALTRIAL NCT03149510

scholarly journals Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project

Obesity Facts ◽  
2021 ◽  
pp. 1-14
Author(s):  
R. James Stubbs ◽  
Cristiana Duarte ◽  
António L. Palmeira ◽  
Falko F. Sniehotta ◽  
Graham Horgan ◽  
...  
Keyword(s):  
Weight Loss ◽  
Behaviour Change ◽  
Digital Health ◽  
Self Regulation ◽  
Self Management ◽  
Behaviour Change Techniques ◽  
Evidence Based ◽  
Behavioural Science ◽  
Digital Architecture

<b><i>Background:</i></b> Effective interventions and commercial programmes for weight loss (WL) are widely available, but most people regain weight. Few effective WL maintenance (WLM) solutions exist. The most promising evidence-based behaviour change techniques for WLM are self-monitoring, goal setting, action planning and control, building self-efficacy, and techniques that promote autonomous motivation (e.g., provide choice). Stress management and emotion regulation techniques show potential for prevention of relapse and weight regain. Digital technologies (including networked-wireless tracking technologies, online tools and smartphone apps, multimedia resources, and internet-based support) offer attractive tools for teaching and supporting long-term behaviour change techniques. However, many digital offerings for weight management tend not to include evidence-based content and the evidence base is still limited. <b><i>The Project:</i></b> First, the project examined why, when, and how many European citizens make WL and WLM attempts and how successful they are. Second, the project employed the most up-to-date behavioural science research to develop a digital toolkit for WLM based on 2 key conditions, i.e., self-management (self-regulation and motivation) of behaviour and self-management of emotional responses for WLM. Then, the NoHoW trial tested the efficacy of this digital toolkit in adults who achieved clinically significant (≥5%) WL in the previous 12 months (initial BMI ≥25). The primary outcome was change in weight (kg) at 12 months from baseline. Secondary outcomes included biological, psychological, and behavioural moderators and mediators of long-term energy balance (EB) behaviours, and user experience, acceptability, and cost-effectiveness. <b><i>Impact:</i></b> The project will directly feed results from studies on European consumer behaviour, design and evaluation of digital toolkits self-management of EB behaviours into development of new products and services for WLM and digital health. The project has developed a framework and digital architecture for interventions in the context of EB tracking and will generate results that will help inform the next generation of personalised interventions for effective self-management of weight and health.

Twelve Evidence-Based Principles for Implementing Self-Management Support in Primary Care

2010 ◽  
Vol 36 (12) ◽  
pp. 561-570 ◽  
Author(s):  
Malcolm Battersby ◽  
Michael Von Korff ◽  
Judith Schaefer ◽  
Connie Davis ◽  
Evette Ludman ◽  
...  
Keyword(s):  
Primary Care ◽  
Self Management ◽  
Evidence Based ◽  
Management Support

scholarly journals Older Adult Preferences of Mobile Application Functionality Supporting Medication Self-Management

2018 ◽  
Vol 23 (12) ◽  
pp. 1064-1071
Author(s):  
Andrea M. Russell ◽  
Samuel G. Smith ◽  
Stacy C. Bailey ◽  
Lisa T. Belter ◽  
Anjali U. Pandit ◽  
...  
Keyword(s):  
Older Adult ◽  
Mobile Application ◽  
Self Management

scholarly journals Smartphone Cardiac Rehabilitation, Assisted Self-Management Versus Usual Care: Protocol for a Multicenter Randomized Controlled Trial to Compare Effects and Costs Among People With Coronary Heart Disease (Preprint)

2019 ◽  
Author(s):  
Jonathan Charles Rawstorn ◽  
Kylie Ball ◽  
Brian Oldenburg ◽  
Clara K Chow ◽  
Sarah A McNaughton ◽  
...  
Keyword(s):  
Health Care ◽  
Coronary Heart Disease ◽  
Randomized Controlled Trial ◽  
Cardiac Rehabilitation ◽  
Usual Care ◽  
Controlled Trial ◽  
Self Management ◽  
Evidence Based ◽  
Randomized Controlled ◽  
Delivery Models

BACKGROUND Alternative evidence-based cardiac rehabilitation (CR) delivery models that overcome significant barriers to access and delivery are needed to address persistent low utilization. Models utilizing contemporary digital technologies could significantly improve reach and fidelity as complementary alternatives to traditional center-based programs. OBJECTIVE The aim of this study is to compare the effects and costs of the innovative <i>Smartphone Cardiac Rehabilitation, Assisted self-Management</i> (SCRAM) intervention with usual care CR. METHODS In this investigator-, assessor-, and statistician-blinded parallel 2-arm randomized controlled trial, 220 adults (18+ years) with coronary heart disease are being recruited from 3 hospitals in metropolitan and regional Victoria, Australia. Participants are randomized (1:1) to receive advice to engage with usual care CR or the SCRAM intervention. SCRAM is a 24-week dual-phase intervention that includes 12 weeks of real-time remote exercise supervision and coaching from exercise physiologists, which is followed by 12 weeks of data-driven nonreal-time remote coaching via telephone. Both intervention phases include evidence- and theory-based multifactorial behavior change support delivered via smartphone push notifications. Outcomes assessed at baseline, 12 weeks, and 24 weeks include maximal aerobic exercise capacity (primary outcome at 24 weeks), modifiable cardiovascular risk factors, exercise adherence, secondary prevention self-management behaviors, health-related quality of life, and adverse events. Economic and process evaluations will determine cost-effectiveness and participant perceptions of the treatment arms, respectively. RESULTS The trial was funded in November 2017 and received ethical approval in June 2018. Recruitment began in November 2018. As of September 2019, 54 participants have been randomized into the trial. CONCLUSIONS The innovative multiphase SCRAM intervention delivers real-time remote exercise supervision and evidence-based self-management behavioral support to participants, regardless of their geographic proximity to traditional center-based CR facilities. Our trial will provide unique and valuable information about effects of SCRAM on outcomes associated with cardiac and all-cause mortality, as well as acceptability and cost-effectiveness. These findings will be important to inform health care providers about the potential for innovative program delivery models, such as SCRAM, to be implemented at scale, as a complement to existing CR programs. The inclusion of a cohort comprising metropolitan-, regional-, and rural-dwelling participants will help to understand the role of this delivery model across health care contexts with diverse needs. CLINICALTRIAL Australian New Zealand Clinical Trials Registry (ACTRN): 12618001458224; anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374508. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/15022

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