+ All Categories
Home > Documents > What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical...

What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical...

Date post: 21-May-2020
Category:
Upload: others
View: 0 times
Download: 0 times
Share this document with a friend
41
https://learn.extension.org/events/2693 This material is based upon work supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, and the Office of Family Readiness Policy, U.S. Department of Defense under Award Numbers 2014-48770-22587 and 2015-48770-24368. Mobile Apps for RDNs in Patient Care, What’s the Evidence Say?
Transcript
Page 1: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

https://learn.extension.org/events/2693

This material is based upon work supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, and the Office of Family

Readiness Policy, U.S. Department of Defense under Award Numbers 2014-48770-22587 and 2015-48770-24368.

Mobile Apps for RDNs in Patient Care,

What’s the Evidence Say?

Page 2: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Connecting military family service providers

and Cooperative Extension professionals to research

and to each other through engaging online learning opportunities

www.extension.org/militaryfamilies

MFLN Intro

2Sign up for webinar email notifications at www.extension.org/62831

Page 3: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Today’s Presenters

Justine Karduck, MS, RDN, LDN, [email protected]

• Director the Didactic Program in Dietetics at

the University of Illinois.

• Previously worked as a Clinical Dietitian &

Diabetes Educator.

• PhD Student in Human Nutrition in the

Department of Food Science and Human

Nutrition at the University of Illinois.

• Research focus on the efficacy of smartphone

apps in dietetics practice for diabetes

management.3

Page 4: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Today’s Presenters

4

Kristen DiFilippo, MS, RDN, [email protected]

• PhD Student in the Division of Nutritional

Sciences at the University of Illinois

• Previously worked as a wellness Dietitian

• Research interest in apps for nutrition

education

Page 5: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Today’s Webinar:

Mobile Apps for RDNs in Patient Care:

What does the evidence say?

5

Page 6: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Webinar Learning Objectives:

After this presentation, participants should be able to:

1. Identify the most popular health-related mobile apps

being used in dietetics practice.

2. Objectively evaluate apps for selection in nutrition

interventions.

3. Explain current developments and future directions

in apps research relevant for the dietetics practitioner.

6

Page 7: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Mobile Health (mHealth) Defined

“a component of eHealth, a medical and

public health practice supported by mobile

devices, such as mobile phones, patient-

monitoring devices, personal digital

assistants & other wireless devices.”

7(Ryu 2012)

Page 8: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

US Smartphone Users

8(Smith 2015)

Page 9: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Nutrition Education Using Apps

“Nutrition education is defined as any combination of educational strategies, accompanied by

environmental supports, designed to facilitate voluntary adoption of food choices and other food-and nutrition-related behaviors conducive to health

and well-being.”

What is your go to app to support nutrition education?

(What apps are you recommending to clients?)

9(Contento, 2010)

Page 10: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

My Go to App

10

Page 11: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Apps & Nutrition Education

Systematic Review of Literature

Will nutrition apps result in

– increased knowledge or

– improved nutrition behavior?

• Specifics:

– Adults

– Without disease

– Intervention included nutrition app

(DiFilippo, Huang, Andrade, & Chapman-Novakofski, 2015) 11

Page 12: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Apps & Nutrition Education

Systematic Review of Literature

• Very few published studies exploring

behavior and knowledge outcomes

– 3 high quality studies identified from 17,032

reviewed titles

– All focused on weight loss

12(DiFilippo, Huang, Andrade, & Chapman-Novakofski, 2015)

Page 13: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Knowledge Measures

• Only one study reviewed measured

knowledge

• No change in knowledge found

13(DiFilippo, Huang, Andrade, & Chapman-Novakofski, 2015)

Page 14: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Behavior Change Measures

• No app = less willing to continue diet1

• App = higher participant retention2

• App = increased use of intervention tools2

• App = more user control3

• App = recorded twice as many days3

Take home:

People are more likely to remain engaged with your recommendations with the support of an app.

1Brindal et al., 20132Carter et al., 20113Turner-McGrievy &Tate, 2011

14

Page 15: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Weight Change Measures

• But does this mean they lose weight?

• Yes:

• Weight loss with app was similar or greater than

the same diet education without app1,2,3

• Weight change at 6 months2

• With app: -4.6 kg (10 pounds)

• With paper diary: -2.9 kg (6 pounds)

• With website: -1.3 kg (3 pounds)

• Same results found in another review4

15

1Brindal et al., 20132Carter et al., 20113Turner-McGrievy &Tate, 2011

Mateo et al., 2015

Page 16: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Most Common Behavior Change

Techniques in Apps

16

FeedbackGoal setting Self-monitoring

(Bardus et al., 2016)

Page 17: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Apps for Weight Management

• App quality assessment

– Moderate overall

– Higher in functionality & aesthetics

– Lowest in information quality

17(Bardus et al., 2016)

Page 18: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

mHealth & You Poll

18

Page 19: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

App Evaluation

• Hundreds of apps available

• Aspects to consider when evaluating apps

– Quality of content

– Technology

– Usability

19(Bardus et al. 2016;

DiFilippo, Andrade, Huang, & Chapman-Novakofski, 2016, 2015 )

Page 20: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

App Evaluation

• App Quality Evaluation Tool (AQEL)

– Quantitative tool for Dietitians to use for

nutrition app evaluation

– Allows for comparison of apps based on

various aspects of app content, design, and

function

20(DiFilippo, Andrade, Huang, & Chapman-Novakofski, 2016, 2015 )

Page 21: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

App Evaluation

• Categories:

– Purpose

– Knowledge Building

– Skill Building

– Behavior Change

– Appropriateness for Target Age Group

– Appropriateness for Target Audience

– Educational Quality

– Functionality

– Personal App Use

21(DiFilippo, Andrade, Huang, & Chapman-Novakofski, 2016, 2015 )

Page 22: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

App Evaluation

22(DiFilippo, Andrade, Huang, & Chapman-Novakofski, 2016, 2015 )

Page 23: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

App Evaluation

23(DiFilippo, Andrade, Huang, & Chapman-Novakofski, 2016, 2015 )

Page 24: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Question Break

24

Page 25: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Why use Health Apps in

Patient Care Settings?

• Improved scalability & feasibility of health

services

– Decreased health care costs & burden

• Frequent engagement

– Consistency

– Convenience

– Feedback w/ pts

***Superior effectiveness on health

outcomes & related behaviors?25

(Sutton & Redman 2016)

Page 26: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Limitations to Using Apps

in Patient Care Settings

• Evidence-based app quality poor

– Rate of app dissemination outpaces research

• Lack of personalization, health care expert

involvement, behavior theory, & scientific

evaluation in apps

• Time consuming data entry & analysis of apps-

continuing patient engagement

• Data safety & privacy

• High level of health & technology literacy of

patients and providers needed

– Training & Charting for HCPs?26

(Brzan et at al. 2016)

Page 27: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Patient Perceptions

of Health Apps

• 58% downloaded a health app

• 42% downloaded more than 5 health apps¹

– Apps positively influence eating & exercise behaviors²

• Health App Users = obese, younger, with higher income & ed levels,

Latino/Hispanic or African American

• Nutrition & Fitness apps are most popular w/ daily use

– Trust in accuracy & data safety high

– Perceived improved health

• Preferred App Features

– provider communications, reminders, tracking, progress charts,

view medical records, personalized recs

• Barriers to App Use

– cost, data entry burden, attrition

27(¹Krebs & Duncan 2015)

(²Wang et al. 2016)

Page 28: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Dietitian Perceptions

of Health Apps

(Sauceda, Frederico, Pellechia, Starin

2016)

• Surveyed RDs at FNCE 2015

(n = 72)

– 83% recommend apps

– PA, nutrition, food journals

• Favorite Apps = My Fitness

Pal™ & Fitbit™

– Few collect & analyze data

from pt. apps

(Karduck & Chapman-Novakofski

2016)

• Surveyed US clinicians (n =

719)

– 93% use smartphone apps

– 62% use apps to assess pt’s

diet & PA levels

• Most Recommended Apps =

My Fitness Pal™, Calorie

King™, Fitbit™ & Weight

Watchers™

• Desired Apps Features = diet,

PA, & wt tracking, progress

charts, barcode scanning,

SMBG, & recipe sharing

28

Page 29: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

mHealth & You Poll

29

Page 30: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Review of Apps for

DM Management

30(Brzan et al. 2016)

• Systematic review of apps in popular app stores

– Which free diabetes apps provide basic features for successful self-

management?

– What are the characteristics of these apps?

• Initial search (n = 956), only 9 met all inclusion criteria

– Diabetes: M, Diabetes Tracker, Glucose Buddy: Diabetes Log, Diabetes

Journal, Diabetes Connect, Diabetes App Lite, Diabetes in check,

Carburetor: Diabetes Logbook Manager, dbees.com

• Apps should support (Chomutare et al. 2011):

– Insulin & meds management

– Diet, PA, Wt & BP Ed

– Social media & alerts

– Communication with health care team

• Most only provide some of the basic features

– Designed for type of DM

Page 31: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Challenges & Opportunities of

Apps for DM Management

Features:

• Self-management metrics

with progress charts in

one app:

• Education

– Diet tips, GI, Recipes,

Research Findings

• Personalized feedback

• Enhanced reminder

system

• Daily goal setting

Barriers:

• Information gap

• Technical Illiteracy

• Already satisfied with

current self management

tools

• Not yet recommended by

their health care team

• Accountability

• Required time & effort

31(Peng, Yuan, & Holtz 2016)

Page 32: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

App Outcomes &

Efficacy in DM Self-Management

• Pubmed searched through January 2016 (n = 485)

• Limited data available on effectiveness of apps for DM

self-management

– Some clinical improvements, but only 3 studies with statistically

significant improvements in HbA1c

• Preliminary data encouraging

– Few apps support the AADE7 self-management behaviors

• Self-monitoring with provision of feedback common

• DM education lacking in apps

• Apps as FDA medically regulated devices

32(Hood et al. 2016)

Page 33: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

33(Ristau, Yang, & White, 2013)

Page 34: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Conclusions

• mHealth & health apps are in their infancy

• Apps show promise for:

– Supporting nutrition education

– Promoting behavior change

– Improving health outcomes

• Careful evaluation and selection of apps is

warranted before use

34

Page 35: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

References1. Bardus, M., van Beurden, S., Smith, J., & Abraham, C. (2016). A review and content analysis of engagement, functionality, aesthetics, information quality, and change

techniques in the most popular commercial apps for weight management. Int J Behav Nutr Phys Act, 13(1). http://dx.doi.org/10.1186/s12966-016-0359-9.

2. Boudreaux, E., Waring, M., Hayes, R., Sadasivam, R., Mullen, S., & Pagoto, S. (2014). Evaluating and selecting mobile health apps: strategies for healthcare providers and healthcare organizations. Translational Behavioral Medicine, 4(4), 363-371. http://dx.doi.org/10.1007/s13142-014-0293-9.

3. Brindal, E., Hendrie, G., Freyne, J., Coombe, M., Berkovsky, S., & Noakes, M. (2013). Design and pilot results of a mobile phone weight-loss application for women starting a meal replacement programme. Journal of Telemedicine and Telecare, 19, 166–174.

4. Brzan, P., Rotman, E., Pajnkihar, M., & Klanjsek, P. (2016). Mobile Applications for Control and Self Management of Diabetes: A Systematic Review. J Med Syst, 40(9). http://dx.doi.org/10.1007/s10916-016-0564-8.

5. Carter, M. C., Burley, V. J., Nykjaer, C., & Cade, J. E. (2013). Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial. Journal of Medical Internet Research, 15(4), e32. http://doi.org/10.2196/jmir.2283

6. Contento, I. R. (2010). Nutrition Education: Linking Research, Theory, and Practice. 2010.

7. DiFilippo, K. N., Andrade, J. E., Huang, W.-H., & Chapman-Novakofski, K. M. (2015). Development of a tool to evaluate the quality of nutrition apps. Journal of the Academy of Nutrition and Dietetics, 115(9), A15.

8. DiFilippo, K. N., Andrade, J. E., Huang, W.-H., & Chapman-Novakofski, K. M. (2016). Reliability testing of a mobile app quality assessment tool. Journal of Nutrition Education and Behavior, 48(7S), P87.

9. DiFilippo, K. N., Huang, W.-H., Andrade, J. E., & Chapman-Novakofski, K. M. (2015). The use of mobile apps to improve nutrition outcomes: A systematic literature review. Journal of Telemedicine and Telecare, 21(5), 243–253. http://doi.org/10.1177/1357633X15572203

10. Flores Mateo, G., Granado-Font, E., Ferré-Grau, C., & Montaña-Carreras, X. (2015). Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis. J Med Internet Res, 17(11), e253. http://dx.doi.org/10.2196/jmir.4836

11. Hood, M., Wilson, R., Corsica, J., Bradley, L., Chirinos, D., & Vivo, A. (2016). What do we know about mobile applications for diabetes self-management? A review of reviews. J Behav Med. http://dx.doi.org/10.1007/s10865-016-9765-3.

12. Jospe, M., Fairbairn, K., Green, P., & Perry, T. (2015). Diet App Use by Sports Dietitians: A Survey in Five Countries. JMIR Mhealth Uhealth, 3(1), e7. http://dx.doi.org/10.2196/mhealth.3345

13. Karduck, J., & Chapman-Novakofski K. (2016) Results of the Clinician Apps Survey, How Do RDNs Use Health-related Smartphone Apps in Patient Care Settings? Journal of the Academy of Nutrition and Dietetics , Volume 116, Issue 9 , A93. http://dx.doi.org/10.1016/j.jand.2016.06.338.

14. Krebs, P. & Duncan, D. (2015). Health App Use Among US Mobile Phone Owners: A National Survey. JMIR Mhealth Uhealth, 3(4), e101. http://dx.doi.org/10.2196/mhealth.4924.

15. Lieffers, J., Vance, V., & Hanning, R. (2014). Use of Mobile Device Applications In Canadian Dietetic Practice. Canadian Journal Of Dietetic Practice And Research, 75(1), 41-47. http://dx.doi.org/10.3148/75.1.2014.41.

16. Peng, W., Yuan, S., & Holtz, B. (2016). Exploring the Challenges and Opportunities of Health Mobile Apps for Individuals with Type 2 Diabetes Living in Rural Communities. Telemedicine And E-Health. http://dx.doi.org/10.1089/tmj.2015.0180.

17. Office of Health Policy, & Office of the Assistant Secretary for Planning and Evaluation (ASPE). (2016). Report to Congress: E-health and Telemedicine. Retrieved from https://aspe.hhs.gov/sites/default/files/pdf/206751/TelemedicineE-HealthReport.pdf

18. Redman, L. & Sutton, E. (2016). Smartphone applications to aid weight loss and management: current perspectives. Diabetes, Metabolic Syndrome And Obesity: Targets And Therapy, Volume 9, 213-216. http://dx.doi.org/10.2147/dmso.s89839.

19. Ristau, R., Yang, J., & White, J. (2013). Evaluation and Evolution of Diabetes Mobile Applications: Key Factors for Health Care Professionals Seeking to Guide Patients. Diabetes Spectrum, 26(4), 211-215. http://dx.doi.org/10.2337/diaspect.26.4.211

20. Ryu, S. (2012). Book Review: mHealth: New Horizons for Health through Mobile Technologies: Based on the Findings of the Second Global Survey on eHealth (Global Observatory for eHealth Series, Volume 3). Healthc Inform Res, 18(3), 231. http://dx.doi.org/10.4258/hir.2012.18.3.231.

21. Sauceda, A., Frederico, C., Pellechia, K., & Starin, D. (2016). Results of the Academy of Nutrition and Dietetics' Consumer Health Informatics Work Group’s 2015 Member App Technology Survey.Journal Of The Academy Of Nutrition And Dietetics, 116(8), 1336-1338. http://dx.doi.org/10.1016/j.jand.2016.04.009

22. Turner-McGrievy, G., & Tate, D. (2011). Tweets, Apps, and Pods: Results of the 6-month Mobile Pounds Off Digitally (Mobile POD) Randomized Weight-Loss Intervention Among Adults. Journal of Medical Internet Research, 13(4), e120. http://doi.org/10.2196/jmir.1841

23. Wang, Q., Egelandsdal, B., Amdam, G., Almli, V., & Oostindjer, M. (2016). Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR Mhealth Uhealth, 4(2), e33. http://dx.doi.org/10.2196/mhealth.5114.

24. Wharton, C., Johnston, C., Cunningham, B., & Sterner, D. (2014). Dietary Self-Monitoring, But Not Dietary Quality, Improves With Use of Smartphone App Technology in an 8-Week Weight Loss Trial. Journal Of Nutrition Education And Behavior, 46(5), 440-444. http://dx.doi.org/10.1016/j.jneb.2014.04.291.

35

Page 36: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Webinar Learning Objectives:

1. Identify the most popular health-related mobile apps

being used in dietetics practice.

2. Objectively evaluate apps for selection in nutrition

interventions.

3. Explain current developments and future directions

in apps research relevant for the dietetics practitioner.

36

Page 37: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Join the Conversation Online!

MFLN Nutrition @MFLNNW

Military Families Learning Network

MFLN Nutrition and Wellness Group

MFLN Nutrition and Wellness

MFLN Group https://www.linkedin.com/groups/8409844

NW SMS icons

37

Page 38: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

MFLN Intro

38

We invite MFLN Service Provider Partners

to our private LinkedIn Group!

https://www.linkedin.com/groups/8409844

DoD

Branch Services

Reserve

Guard

Cooperative

Extension

Page 39: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Evaluation and CPEUs /

Certificate of Completion

MFLN Nutrition and Wellness CA is offering 1.0

CPEU for today’s webinar.

To receive the credits, please complete the

evaluation online at:

https://vte.co1.qualtrics.com/jfe5/form/SV_em4t9BL5eRU0PMF

*CPEUs available up to 1 year after the webinar

39

Page 40: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

Nutrition and Wellness

Upcoming Event

• Health & Wellness Relationships

• Date: Tues Oct 11

• Time: 11:00 AM - 12:30 PM Eastern (90 minutes)

• Location: https://learn.extension.org/events/2677

For more information on MFLN Nutrition and Wellness go to: https://blogs.extension.org/militaryfamilies/nutrition-and-

wellness/

40

Page 41: What’s the Evidence Say? · Mobile Health (mHealth) Defined “a component of eHealth, a medical and public health practice supported by mobile devices, such as mobile phones, patient-monitoring

www.extension.org/62581

41This material is based upon work supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, and the Office of Family

Readiness Policy, U.S. Department of Defense under Award Numbers 2014-48770-22587 and 2015-48770-24368.


Recommended