[HTML][HTML] Developing Mobile Health Interventions with implementation in mind: application of the multiphase optimization strategy (MOST) Preparation phase to …
With thousands of mobile health (mHealth) solutions on the market, patients and health care
providers struggle to identify which solution to use and prescribe. The lack of evidence …
providers struggle to identify which solution to use and prescribe. The lack of evidence …
[HTML][HTML] Design principles in mhealth interventions for sustainable health behavior changes: Protocol for a systematic review
L Yang, A Kuang, C Xu, B Shewchuk… - JMIR Research …, 2023 - researchprotocols.org
Background In recent years, mHealth has increasingly been used to deliver behavioral
interventions for disease prevention and self-management. Computing power in mHealth …
interventions for disease prevention and self-management. Computing power in mHealth …
[HTML][HTML] Optimizing an mHealth Program to Promote Type 2 Diabetes Prevention in High-Risk Individuals: Cross-Sectional Questionnaire Study
E Ross, E Al Ozairi, R Jamison - JMIR Formative Research, 2023 - formative.jmir.org
Background: We evaluated the outcomes of a pilot SMS text messaging–based public health
campaign that identified social networking nodes and variations of response rates to …
campaign that identified social networking nodes and variations of response rates to …
[HTML][HTML] Integrating behavioral science and design thinking to develop mobile health interventions: systematic scoping review
P Voorheis, A Zhao, K Kuluski, Q Pham… - JMIR mHealth and …, 2022 - mhealth.jmir.org
Background: Mobile health (mHealth) interventions are increasingly being designed to
facilitate health-related behavior change. Integrating insights from behavioral science and …
facilitate health-related behavior change. Integrating insights from behavioral science and …
[HTML][HTML] Improving diabetes management in emerging adulthood: an intervention development study using the multiphase optimization strategy
AI Carcone, DA Ellis, S Eggly… - JMIR Research …, 2020 - researchprotocols.org
Background: Poor diabetes self-management in emerging adulthood (age 18-25 years) is
associated with poorer diabetes health and diabetes complications. Emerging adults' focus …
associated with poorer diabetes health and diabetes complications. Emerging adults' focus …
[HTML][HTML] New Approach to Equitable Intervention Planning to Improve Engagement and Outcomes in a Digital Health Program: Simulation Study
Background: Digital health programs provide individualized support to patients with chronic
diseases and their effectiveness is measured by the extent to which patients achieve target …
diseases and their effectiveness is measured by the extent to which patients achieve target …
[HTML][HTML] Effectiveness of mobile health interventions on diabetes and obesity treatment and management: systematic review of systematic reviews
Background: Diabetes and obesity have become epidemics and costly chronic diseases.
The impact of mobile health (mHealth) interventions on diabetes and obesity management is …
The impact of mobile health (mHealth) interventions on diabetes and obesity management is …
[HTML][HTML] Using the preparation phase of the multiphase optimization strategy to develop a messaging component for weight loss: formative and pilot research
Background: Mobile messaging is often used in behavioral weight loss interventions, yet
little is known as to the extent to which they contribute to weight loss when part of a …
little is known as to the extent to which they contribute to weight loss when part of a …
[HTML][HTML] Meeting the Needs of Emerging Adults With Type 1 Diabetes Living in a Rural Area With Mobile Health Interventions: Focus Group Study
AI Carcone, BE Holtz, M Reardon, D Vesey… - JMIR Formative …, 2024 - formative.jmir.org
Background: Emerging adults (EAs; age 18-30 years) with type 1 diabetes (T1D) have more
challenges with diabetes management and glycemic control than other age groups. Living in …
challenges with diabetes management and glycemic control than other age groups. Living in …
[HTML][HTML] The Mobile health multiple lifestyle behavior interventions across the lifespan (MoBILE) research program: protocol for development, evaluation, and …
M Bendtsen, P Bendtsen, H Henriksson… - JMIR research …, 2020 - researchprotocols.org
Background: Clustering of multiple lifestyle risk behaviors has been associated with a
greater risk of noncommunicable diseases and mortality than one lifestyle risk behavior or …
greater risk of noncommunicable diseases and mortality than one lifestyle risk behavior or …
相关搜索
- preparation phase optimization strategy
- preparation phase implementation in mind
- implementation in mind optimization strategy
- implementation in mind health interventions
- preparation phase health interventions
- health interventions optimization strategy
- equitable intervention health program
- diabetes management optimization strategy
- diabetes prevention mhealth program
- preparation phase messaging component
- messaging component optimization strategy
- engagement and outcomes health program
- health interventions behavioral science
- health technology mobile messaging
- health interventions obesity treatment
- preparation phase weight loss