scholarly journals Design and Development of a Mobile Health (mHealth) Platform for Dementia Prevention in the Prevention of Dementia by Mobile Phone Applications (PRODEMOS) Project

2021 ◽  
Vol 12 ◽  
Author(s):  
Melanie Hafdi ◽  
Esmé Eggink ◽  
Marieke P. Hoevenaar-Blom ◽  
M. Patrick Witvliet ◽  
Sandrine Andrieu ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Mobile Health ◽  
Healthy Aging ◽  
Progress Monitoring ◽  
Controlled Trial ◽  
End Users ◽  
Lessons Learned ◽  
Healthy Lifestyles ◽  
Pilot Studies ◽  
Mobile Phone Applications

Background: Mobile health (mHealth) has the potential to bring preventive healthcare within reach of populations with limited access to preventive services, by delivering personalized support at low cost. Although numerous mHealth interventions are available, very few have been developed following an evidence-based rationale or have been tested for efficacy. This article describes the systematic development of a coach-supported mHealth application to improve healthy lifestyles for the prevention of dementia and cardiovascular disease in the United Kingdom (UK) and China.Methods: Development of the Prevention of Dementia by Mobile Phone applications (PRODEMOS) platform built upon the experiences with the Healthy Aging Through Internet Counseling in the Elderly (HATICE) eHealth platform. In the conceptualization phase, experiences from the HATICE trial and needs and wishes of the PRODEMOS target population were assessed through semi-structured interviews and focus group sessions. Initial technical development of the platform was based on these findings and took place in consecutive sprint sessions. Finally, during the evaluation and adaptation phase, functionality and usability of the platform were evaluated during pilot studies in UK and China.Results: The PRODEMOS mHealth platform facilitates self-management of a healthy lifestyle by goal setting, progress monitoring, and educational materials on healthy lifestyles. Participants receive remote coaching through a chat functionality. Based on lessons learned from the HATICE study and end-users, we made the intervention easy-to-use and included features to personalize the intervention. Following the pilot studies, in which in total 77 people used the mobile application for 6 weeks, the application was made more intuitive, and we improved its functionalities.Conclusion: Early involvement of end-users in the development process and during evaluation phases improved acceptability of the mHealth intervention. The actual use and usability of the PRODEMOS intervention will be assessed during the ongoing PRODEMOS randomized controlled trial, taking a dual focus on effectiveness and implementation outcomes.

scholarly journals Promoting Adherence to Exercise Prescription Using Mobile Health Technology: Lessons Learned from Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 843-843
Author(s):  
Zvinka Zlatar ◽  
Camille Nebeker
Keyword(s):  
Older Adults ◽  
Heart Rate ◽  
Mobile Health ◽  
Healthy Aging ◽  
Exercise Intervention ◽  
Haptic Feedback ◽  
Exercise Prescription ◽  
Controlled Trial ◽  
Lessons Learned ◽  
Exercise Session

Abstract We will present the implementation approach used to evaluate a novel mobile health (mHealth) exercise intervention designed to improve older adult’s fitness and brain health. A randomized controlled trial design evaluated if the use of mHealth strategies improved walking speed in real world environments to help participants achieve current physical activity guidelines. Cognitively healthy older adults were randomized to a 12-week, unsupervised, exercise prescription condition or to a healthy aging education condition. Participants used a heart rate tracker programmed to provide haptic feedback when they fell outside of their prescribed heart rate target during an exercise session. Participant’s perceptions regarding the mHealth technology device, as well as their feedback regarding the privacy of their data when using mHealth devices will be presented. Recommendations to improve the design of future mHealth exercise trials will be discussed.

scholarly journals A co-designed, culturally-tailored mhealth tool to support healthy lifestyles in māori and pasifika communities in New Zealand: Protocol for a cluster randomized controlled trial

2020 ◽  
Author(s):  
M Verbiest ◽  
S Borrell ◽  
S Dalhousie ◽  
R Tupa'I-Firestone ◽  
T Funaki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Randomized Controlled Trial ◽  
New Zealand ◽  
Mobile Phone ◽  
Controlled Trial ◽  
Healthy Lifestyles ◽  
Health And Wellbeing ◽  
Randomized Controlled ◽  
Culturally Tailored ◽  
Cluster Randomized

© Marjolein Verbiest, Suaree Borrell, Sally Dalhousie, Ridvan Tupa'i-Firestone, Tevita Funaki, Deborah Goodwin, Jacqueline Grey, Akarere Henry, Emily Hughes, Gayle Humphrey, Yannan Jiang, Andrew Jull, Crystal Pekepo, Jodie Schumacher, Lisa Te Morenga, Megan Tunks, Mereaumate Vano, Robyn Whittaker, Cliona Ni Mhurchu. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 22.08.2018. This is an open-access article distributed under the terms of the Creative Commons Attribution License. Background: New Zealand urgently requires scalable, effective, behavior change programs to support healthy lifestyles that are tailored to the needs and lived contexts of Māori and Pasifika communities. Objective: The primary objective of this study is to determine the effects of a co-designed, culturally tailored, lifestyle support mHealth tool (the OL@-OR@ mobile phone app and website) on key risk factors and behaviors associated with an increased risk of noncommunicable disease (diet, physical activity, smoking, and alcohol consumption) compared with a control condition. Methods: A 12-week, community-based, two-arm, cluster-randomized controlled trial will be conducted across New Zealand from January to December 2018. Participants (target N=1280; 64 clusters: 32 Māori, 32 Pasifika; 32 clusters per arm; 20 participants per cluster) will be individuals aged ≥18 years who identify with either Māori or Pasifika ethnicity, live in New Zealand, are interested in improving their health and wellbeing or making lifestyle changes, and have regular access to a mobile phone, tablet, laptop, or computer and to the internet. Clusters will be identified by community coordinators and randomly assigned (1:1 ratio) to either the full OL@-OR@ tool or a control version of the app (data collection only plus a weekly notification), stratified by geographic location (Auckland or Waikato) for Pasifika clusters and by region (rural, urban, or provincial) for Māori clusters. All participants will provide self-reported data at baseline and at 4- and 12-weeks postrandomization. The primary outcome is adherence to healthy lifestyle behaviors measured using a self-reported composite health behavior score at 12 weeks that assesses smoking behavior, fruit and vegetable intake, alcohol intake, and physical activity. Secondary outcomes include self-reported body weight, holistic health and wellbeing status, medication use, and recorded engagement with the OL@-OR@ tool. Results: Trial recruitment opened in January 2018 and will close in July 2018. Trial findings are expected to be available early in 2019. Conclusions: Currently, there are no scalable, evidence-based tools to support Māori or Pasifika individuals who want to improve their eating habits, lose weight, or be more active. This wait-list controlled, cluster-randomized trial will assess the effectiveness of a co-designed, culturally tailored mHealth tool in supporting healthy lifestyles.

scholarly journals The Elusive Path Toward Measuring Health Outcomes: Lessons Learned From a Pseudo-Randomized Controlled Trial of a Large-Scale Mobile Health Initiative

10.2196/14668 ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. e14668 ◽  
Author(s):  
Patricia Mechael ◽  
Nadi Nina Kaonga ◽  
Subhashini Chandrasekharan ◽  
Muthu Perumal Prakash ◽  
Joanne Peter ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Child Health ◽  
Health Outcomes ◽  
Mobile Health ◽  
Large Scale ◽  
Controlled Trial ◽  
Lessons Learned ◽  
Randomized Controlled ◽  
The Impact ◽  
And Child Health

Mobile health (mHealth) offers new opportunities to improve access to health services and health information. It also presents new challenges in evaluating its impact, particularly in linking the use of a technology intervention that aims to improve health behaviors with the health outcomes that are impacted by changed behaviors. The availability of data from a multitude of sources (paper-based and electronic) provides the conditions to facilitate making stronger connections between self-reported data and clinical outcomes. This commentary shares lessons and important considerations based on the experience of applying new research frameworks and incorporating maternal and child health records data into a pseudo-randomized controlled trial to evaluate the impact of mMitra, a stage-based voice messaging program to improve maternal, newborn, and child health outcomes in urban slums in India.

Der Nutzen von smartphonebasierten Gesundheits-Apps beim Selbstmanagement von COPD-Patienten

2019 ◽  
Vol 7 (2) ◽  
pp. 81-82
Author(s):  
Johannes Knoch
Keyword(s):  
Mobile Phone ◽  
Mobile Health ◽  
Hospital Admissions ◽  
Meta Analysis ◽  
Self Management ◽  
Cochrane Library ◽  
Significant Difference ◽  
Mobile Health Applications ◽  
Mobile Phone Applications ◽  
Health Applications

Background: Mobile health applications are increasingly used in patients with Chronic Obstructive Pulmonary Disease (COPD) to improve their self-management, nonetheless, without firm evidence of their efficacy. This meta-analysis was aimed to assess the efficacy of mobile health applications in supporting self-management as an intervention to reduce hospital admission rates and average days of hospitalization, etc. Methods: PubMed, Web of Science (SCI), Cochrane Library, and Embase were searched for relevant articles published before November 14th, 2017. A total of 6 reports with randomized controlled trials (RCTs) were finally included in this meta-analysis. Results: Patients using mobile phone applications may have a lower risk for hospital admissions than those in the usual care group (risk ratio (RR) = 0.73, 95% CI [0.52, 1.04]). However, there was no significant difference in reducing the average days of hospitalization. Conclusion: Self-management with mobile phone applications could reduce hospital admissions of patients with COPD.

scholarly journals Prevention of dementia using mobile phone applications (PRODEMOS): protocol for an international randomised controlled trial

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e049762
Author(s):  
Esmé Eggink ◽  
Melanie Hafdi ◽  
Marieke P Hoevenaar-Blom ◽  
Manshu Song ◽  
Sandrine Andrieu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Randomised Controlled Trial ◽  
Mobile Phone ◽  
Controlled Trial ◽  
Individual Risk ◽  
Dementia Risk ◽  
Mobile Phone Applications ◽  
Randomised Controlled ◽  
The Uk ◽  
Medical University

IntroductionProfiles of high risk for future dementia are well understood and are likely to concern mostly those in low-income and middle-income countries and people at greater disadvantage in high-income countries. Approximately 30%–40% of dementia cases have been estimated to be attributed to modifiable risk factors, including hypertension, smoking and sedentary lifestyle. Tailored interventions targeting these risk factors can potentially prevent or delay the onset of dementia. Mobile health (mHealth) improves accessibility of such prevention strategies in hard-to-reach populations while at the same time tailoring such approaches. In the current study, we will investigate the effectiveness and implementation of a coach-supported mHealth intervention, targeting dementia risk factors, to reduce dementia risk.Methods and analysisThe prevention of dementia using mobile phone applications (PRODEMOS) randomised controlled trial will follow an effectiveness–implementation hybrid design, taking place in the UK and China. People are eligible if they are 55–75 years old, of low socioeconomic status (UK) or from the general population (China); have ≥2 dementia risk factors; and own a smartphone. 2400 participants will be randomised to either a coach-supported, interactive mHealth platform, facilitating self-management of dementia risk factors, or a static control platform. The intervention and follow-up period will be 18 months. The primary effectiveness outcome is change in the previously validated Cardiovascular Risk Factors, Ageing and Incidence of Dementia dementia risk score. The main secondary outcomes include improvement of individual risk factors and cost-effectiveness. Implementation outcomes include acceptability, adoption, feasibility and sustainability of the intervention.Ethics and disseminationThe PRODEMOS trial is sponsored in the UK by the University of Cambridge and is granted ethical approval by the London—Brighton and Sussex Research Ethics Committee (reference: 20/LO/01440). In China, the trial is approved by the medical ethics committees of Capital Medical University, Beijing Tiantan Hospital, Beijing Geriatric Hospital, Chinese People’s Liberation Army General Hospital, Taishan Medical University and Xuanwu Hospital. Results will be published in a peer-reviewed journal.Trial registration numberISRCTN15986016.

scholarly journals Prevention of dementia using mobile phone applications (PRODEMOS): A randomized controlled trial in progress

2020 ◽  
Vol 16 (S10) ◽  
Author(s):  
Esmé Eggink ◽  
Eric P Moll van Charante ◽  
Marieke P Hoevenaar‐Blom ◽  
Sandrine Andrieu ◽  
Melanie Hafdi ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Mobile Phone ◽  
Controlled Trial ◽  
Randomized Controlled ◽  
Mobile Phone Applications

scholarly journals Development of a Workplace Intervention for Child Care Staff: Caring and Reaching for Health’s (CARE) Healthy Lifestyles Intervention

2018 ◽  
Vol 21 (2) ◽  
pp. 277-287 ◽  
Author(s):  
Gabriela Arandia ◽  
Amber E. Vaughn ◽  
Lori A. Bateman ◽  
Dianne S. Ward ◽  
Laura A. Linnan
Keyword(s):  
Child Care ◽  
Controlled Trial ◽  
Lessons Learned ◽  
Care Staff ◽  
Workplace Intervention ◽  
Healthy Lifestyles ◽  
Child Care Workers ◽  
Self Monitoring ◽  
Increased Risk ◽  
Multilevel Theory

Child care staff are among the lowest wage workers, a group at increased risk for a wide array of chronic diseases. To date, the health of child care staff has been largely ignored, and there have been very few interventions designed for child care staff. This article describes the development of the Caring and Reaching for Health (CARE) Healthy Lifestyles intervention, a workplace intervention aimed at improving physical activity and health behaviors among child care staff. Theory and evidence-based behavior change techniques informed the development of intervention components with targets at multiple social ecological levels. Final intervention components included an educational workshop held at a kick-off event, followed by three 8-week campaigns. Intervention components within each campaign included (1) an informational magazine, (2) goal setting and weekly behavior self-monitoring, (3) weekly tailored feedback, (4) e-mail/text prompts, (5) center-level displays that encouraged team-based goals and activities, and (6) coaching for center directors. This multilevel, theory-driven intervention is currently being evaluated as part of a larger randomized controlled trial. Process evaluation efforts will assess the extent to which child care staff participated in, engaged with, and were satisfied with the intervention. Lessons learned will guide future intervention research engaging child care workers.

scholarly journals A Co-Designed, Culturally-Tailored mHealth Tool to Support Healthy Lifestyles in M?ori and Pasifika Communities in New Zealand: Protocol for a Cluster Randomized Controlled Trial (Preprint)

2018 ◽  
Author(s):  
Marjolein Verbiest ◽  
Suaree Borrell ◽  
Sally Dalhousie ◽  
Ridvan Tupa'i-Firestone ◽  
Tevita Funaki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Randomized Controlled Trial ◽  
New Zealand ◽  
Mobile Phone ◽  
Controlled Trial ◽  
Healthy Lifestyles ◽  
Health And Wellbeing ◽  
Randomized Controlled ◽  
Culturally Tailored ◽  
Cluster Randomized

BACKGROUND New Zealand urgently requires scalable, effective, behavior change programs to support healthy lifestyles that are tailored to the needs and lived contexts of Māori and Pasifika communities. OBJECTIVE The primary objective of this study is to determine the effects of a co-designed, culturally tailored, lifestyle support mHealth tool (the OL@-OR@ mobile phone app and website) on key risk factors and behaviors associated with an increased risk of noncommunicable disease (diet, physical activity, smoking, and alcohol consumption) compared with a control condition. METHODS A 12-week, community-based, two-arm, cluster-randomized controlled trial will be conducted across New Zealand from January to December 2018. Participants (target N=1280; 64 clusters: 32 Māori, 32 Pasifika; 32 clusters per arm; 20 participants per cluster) will be individuals aged ≥18 years who identify with either Māori or Pasifika ethnicity, live in New Zealand, are interested in improving their health and wellbeing or making lifestyle changes, and have regular access to a mobile phone, tablet, laptop, or computer and to the internet. Clusters will be identified by community coordinators and randomly assigned (1:1 ratio) to either the full OL@-OR@ tool or a control version of the app (data collection only plus a weekly notification), stratified by geographic location (Auckland or Waikato) for Pasifika clusters and by region (rural, urban, or provincial) for Māori clusters. All participants will provide self-reported data at baseline and at 4- and 12-weeks postrandomization. The primary outcome is adherence to healthy lifestyle behaviors measured using a self-reported composite health behavior score at 12 weeks that assesses smoking behavior, fruit and vegetable intake, alcohol intake, and physical activity. Secondary outcomes include self-reported body weight, holistic health and wellbeing status, medication use, and recorded engagement with the OL@-OR@ tool. RESULTS Trial recruitment opened in January 2018 and will close in July 2018. Trial findings are expected to be available early in 2019. CONCLUSIONS Currently, there are no scalable, evidence-based tools to support Māori or Pasifika individuals who want to improve their eating habits, lose weight, or be more active. This wait-list controlled, cluster-randomized trial will assess the effectiveness of a co-designed, culturally tailored mHealth tool in supporting healthy lifestyles. CLINICALTRIAL Australia New Zealand Clinical Trials Register ACTRN12617001484336; http://www.ANZCTR.org.au/ACTRN12617001484336.aspx (Archived by WebCite at http://www.webcitation.org/71DX9BsJb) REGISTERED REPORT IDENTIFIER RR1-10.2196/10789

scholarly journals A co-designed, culturally-tailored mhealth tool to support healthy lifestyles in māori and pasifika communities in New Zealand: Protocol for a cluster randomized controlled trial

2020 ◽  
Author(s):  
M Verbiest ◽  
S Borrell ◽  
S Dalhousie ◽  
R Tupa'I-Firestone ◽  
T Funaki ◽  
...  
Keyword(s):  
Physical Activity ◽  
Randomized Controlled Trial ◽  
New Zealand ◽  
Mobile Phone ◽  
Controlled Trial ◽  
Healthy Lifestyles ◽  
Health And Wellbeing ◽  
Randomized Controlled ◽  
Culturally Tailored ◽  
Cluster Randomized

© Marjolein Verbiest, Suaree Borrell, Sally Dalhousie, Ridvan Tupa'i-Firestone, Tevita Funaki, Deborah Goodwin, Jacqueline Grey, Akarere Henry, Emily Hughes, Gayle Humphrey, Yannan Jiang, Andrew Jull, Crystal Pekepo, Jodie Schumacher, Lisa Te Morenga, Megan Tunks, Mereaumate Vano, Robyn Whittaker, Cliona Ni Mhurchu. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 22.08.2018. This is an open-access article distributed under the terms of the Creative Commons Attribution License. Background: New Zealand urgently requires scalable, effective, behavior change programs to support healthy lifestyles that are tailored to the needs and lived contexts of Māori and Pasifika communities. Objective: The primary objective of this study is to determine the effects of a co-designed, culturally tailored, lifestyle support mHealth tool (the OL@-OR@ mobile phone app and website) on key risk factors and behaviors associated with an increased risk of noncommunicable disease (diet, physical activity, smoking, and alcohol consumption) compared with a control condition. Methods: A 12-week, community-based, two-arm, cluster-randomized controlled trial will be conducted across New Zealand from January to December 2018. Participants (target N=1280; 64 clusters: 32 Māori, 32 Pasifika; 32 clusters per arm; 20 participants per cluster) will be individuals aged ≥18 years who identify with either Māori or Pasifika ethnicity, live in New Zealand, are interested in improving their health and wellbeing or making lifestyle changes, and have regular access to a mobile phone, tablet, laptop, or computer and to the internet. Clusters will be identified by community coordinators and randomly assigned (1:1 ratio) to either the full OL@-OR@ tool or a control version of the app (data collection only plus a weekly notification), stratified by geographic location (Auckland or Waikato) for Pasifika clusters and by region (rural, urban, or provincial) for Māori clusters. All participants will provide self-reported data at baseline and at 4- and 12-weeks postrandomization. The primary outcome is adherence to healthy lifestyle behaviors measured using a self-reported composite health behavior score at 12 weeks that assesses smoking behavior, fruit and vegetable intake, alcohol intake, and physical activity. Secondary outcomes include self-reported body weight, holistic health and wellbeing status, medication use, and recorded engagement with the OL@-OR@ tool. Results: Trial recruitment opened in January 2018 and will close in July 2018. Trial findings are expected to be available early in 2019. Conclusions: Currently, there are no scalable, evidence-based tools to support Māori or Pasifika individuals who want to improve their eating habits, lose weight, or be more active. This wait-list controlled, cluster-randomized trial will assess the effectiveness of a co-designed, culturally tailored mHealth tool in supporting healthy lifestyles.

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