Potential of Mobile Applications in Prevention and Management of Cardio-Metabolic Diseases
DOI:
https://doi.org/10.17140/PHOJ-2-114Keywords:
Smartphone; Mobile technology; Cardio-metabolic diseases.Abstract
Background:The pervasive use of mobile computing and communication technologies in healthcare and public health is expanding even in low and middle income countries. Among all types of mobile phones, smartphones are a more recent development, with features such as computing capability, capacious memories, large screens and open operating systems. Besides delivering interventions and education programs, smart phone applications (apps) are also be-ing used to monitor progress and act as knowledge database. This review explored the current evidence of smart phone technology in prevention and management of cardio-metabolic dis-eases. Methods: A systematic search was done using the keywords [‘mobile Applications’ OR ‘tele-medicine’ OR ‘smartphone’] and [OR ‘cardiovascular’ OR ‘obes*’OR ‘metabolic syndrome’ OR diabetes OR dyslipid* OR hypertensi*], with limitation to ‘reviews’, English publications and the last 5 years. Databases searched include OVID MEDLINE, PUBMED, COCHRANE, CINAHL, SCOPUS and PROQUEST. The shortlisted reviews including meta-analysis, narra-tive and systematic reviews were qualitatively evaluated and findings were compared.Results: Twenty-six articles (n=26) comprised of apps inventory, narrative and systematic re-views were included in the following areas: nutrition (n=3), physical activity (n=4), tobacco smoking (n=1) and cardiovascular (n=1), type 2 diabetes (n=8) and obesity/weight loss (n=9).Conclusion: Although there is limited evidence, we can now see a shift towards development and investigation of existing and new apps in prevention and management of cardio-metabolic diseases. Future studies could explore the feasibility and long-term effectiveness of theory-supported apps that were developed with newest evidence.
References
Kraushaar LE, Krämer A. Are we losing the battle against car-diometabolic disease? The case for a paradigm shift in primary prevention. BMC Public Health. 2009; 9: 64. doi: 10.1186/1471- 2458-9-64
Castro JP, El-Atat FA, McFarlane SI, Aneja A, Sowers JR. Cardiometabolic syndrome: Pathophysiology and treatment. Curr Hypertens Rep. 2003; 5(5): 393-401. doi: 10.1007/s11906- 003-0085-y
Boulos MNK, Wheeler S, Tavares C, Jones R. How smart-phones are changing the face of mobile and participatory health-care: An overview, with example from eCAALYX. Biomed Eng Online. 2011; 10. doi: 10.1186/1475-925X-10-24
Wac K. Smartphone as a personal, pervasive health infor-matics services platform: Literature review. Yearb Med Inform. 2012; 7(1): 83-93. Web site. https://www.ncbi.nlm.nih.gov/ pubmed/22890347. Accessed November 19, 2016.
Miller KH, Ziegler C, Greenberg R, Patel PD, Carter MB. Why physicians should share PDA/smartphone findings with their patients: A brief report. J Health Commun. 2012; 17(1): 54-61. doi: 10.1080/10810730.2011.649102
Fortney JC, Burgess Jr JF, Bosworth HB, Booth BM, Kaboli PJ. A re-conceptualization of access for 21st century healthcare. J Gen Intern Med. 2011; 26(2): 639-647. doi: 10.1007/s11606- 011-1806-6
Fiordelli M, Diviani N, Schulz PJ. Mapping mhealth research: A decade of evolution. J Med Internet Res. 2013; 15(5). doi: 10.2196/jmir.2430
Free C, Phillips G, Felix L, Galli L, Patel V, Edwards P. The effectiveness of M-health technologies for improving health and health services: A systematic review protocol. BMC Res Notes. 2010; 3: 250. doi: 10.1186/1756-0500-3-250
Fanning J, Mullen SP, McAuley E. Increasing physical activ-ity with mobile devices: A meta-analysis. J Med Internet Res. 2012; 14(6): e161. doi: 10.2196/jmir.2171
King A, Ahn D, Oliveira B, Atienza A, Castro C, Gardner C. Promoting physical activity through hand-held computer tech-nology. Am J Prev Med. 2008; 34(2): 138-142. doi: 10.1016/j. amepre.2007.09.025
Higgins JP. Smartphone applications for patients’ health and fitness. Am J Med. 2016; 129(1): 11-19. doi: 10.1016/j.am-jmed.2015.05.038
Knight E, Stuckey MI, Prapavessis H, Petrella RJ. Public health guidelines for physical activity: Is there an app for that? A review of android and apple app stores. JMIR mHealth uHealth. 2015; 3(2): e43. doi: 10.2196/mhealth.4003
Matthews J, Win KT, Oinas-Kukkonen H, Freeman M. Per-suasive technology in mobile applications promoting physical activity: A systematic review. J Med Syst. 2016; 40(3): 72. doi: 10.1007/s10916-015-0425-x
Lieffers JR, Hanning RM. Dietary assessment and self-mon-itoring with nutrition applications for mobile devices. Can J Diet Pract Res. 2012; 73(3): e253-e260. doi: 10.3148/73.3.2012.e253
Bert F, Giacometti M, Gualano MR, Siliquini R. Smart-phones and health promotion: A review of the evidence. J Med Syst. 2014; 38(1): 9995. doi: 10.1007/s10916-013-9995-7
Martin CK, Miller AC, Thomas DM, Champagne CM, Han H, Church T. Efficacy of SmartLoss, a smartphone-based weight loss intervention: Results from a randomized controlled trial. Obesity. 2015; 23(5): 935-942. doi: 10.1002/oby.21063
Heminger CL, Schindler-Ruwisch JM, Abroms LC. Smoking cessation support for pregnant women: Role of mo-bile technology. Subst Abuse Rehabil. 2016; 7: 15-26. doi: 10.2147/SAR.S84239
Mosa ASM, Yoo I, Sheets L. A systematic review of health-care applications for smartphones. BMC Med Inform Decis Mak. 2012; 12(1). doi: 10.1186/1472-6947-12-67
Park LG, Beatty A, Stafford Z, Whooley MA. Mobile phone interventions for the secondary prevention of cardiovascular dis-ease. Prog Cardiovasc Dis. 2016; 58(6): 639-650. doi: 10.1016/j. pcad.2016.03.002
Garabedian LF, Ross-Degnan D, Wharam JF. Mobile phone and smartphone technologies for diabetes care and self-manage-ment. Curr Diab Rep. 2015; 15(12): 109. doi: 10.1007/s11892- 015-0680-8
David SK, Rafiullah MR. Innovative health informatics as an effective modern strategy in diabetes management: A criti-cal review. Int J Clin Pract. 2016; 70(6): 434-449. doi: 10.1111/ ijcp.12816
McMillan KA, Kirk A, Hewitt A, MacRury S. A systematic and integrated review of mobile-based technology to promote active lifestyles in people with type 2 diabetes. J Diabetes Sci Technol. 2016. doi: 10.1177/1932296816656018
Williams JP, Schroeder D. Popular glucose tracking apps and use of mhealth by Latinos with diabetes: Review. JMIR mHealth uHealth. 2015; 3(3): e84. doi: 10.2196/mhealth.3986
Holtz B, Lauckner C. Diabetes management via mobile phones: A systematic review. Telemed J E Health. 2012; 18(3): 175-184. doi: 10.1089/tmj.2011.0119
Charpentier G, Benhamou PY, Dardari D, et al. The Dia-beo software enabling individualized insulin dose adjustments combined with telemedicine support improves HbA1c in poorly controlled type 1 diabetic patients: A 6-month, randomized, open-label, parallel-group, multicenter trial (TeleDiab 1 Study). Diabetes Care. 2011; 34(3): 533-539. doi: 10.2337/dc10-1259
Fijacko N, Brzan PP, Stiglic G. Mobile applications for type 2 diabetes risk estimation: A systematic review. J Med Syst. 2015; 39(10): 124. doi: 10.1007/s10916-015-0319-y
Eng DS, Lee JM. The promise and peril of mobile health applications for diabetes and endocrinology. Pediatric Diabetes. 2013; 14(4): 231-238. doi: 10.1111/pedi.12034
Huckvale K, Adomaviciute S, Prieto JT, Leow MK, Car J. Smartphone apps for calculating insulin dose: A systematic as-sessment. BMC Med. 2015; 13: 106. doi: 10.1186/s12916-015- 0314-7
El-Gayar O, Timsina P, Nawar N, Eid W. Mobile appli-cations for diabetes self-management: Status and potential. J Diabetes Sci Technol. 2013; 7(1): 247-262. doi: 10.1177/
Semper HM, Povey R, Clark-Carter D. A systematic review of the effectiveness of smartphone applications that encourage dietary self-regulatory strategies for weight loss in overweight and obese adults. Obes Rev. 2016; 17(9): 895-906. doi: 10.1111/ obr.12428
Bardus M, van Beurden SB, Smith JR, Abraham C. 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. 2016; 13: 35. doi: 10.1186/s12966-016-0359-9
Gilmore LA, Duhe AF, Frost EA, Redman LM. The technol-ogy boom: A new era in obesity management. J Diabetes Sci Technol. 2014; 8(3): 596-608. doi: 10.1177/1932296814525189
Stephens J, Allen J. Mobile phone interventions to in-crease physical activity and reduce weight: A systematic re-view. J Cardiovasc Nurs. 2013; 28(4): 320-329. doi: 10.1097/ JCN.0b013e318250a3e7
Lee W, Chae Y, Kim S, Ho S, Choi I. Evaluation of a mobile-phone based diet game for weight control. J Telemed Telecare. 2010; 16(5): 270-275. doi: 10.1258/jtt.2010.090913
Pagoto S, Schneider K, Jojic M, DeBiasse M, Mann D. Ev-idence-based strategies in weight-loss mobile apps. Am J Prev Med. 2013; 45(5): 576-582. doi: 10.1016/j.amepre.2013.04.025
Stevens DJ, Jackson JA, Howes N, Morgan J. Obesity sur-gery smartphone apps: A review. Obes Surg. 2014; 24(1): 32-36. doi: 10.1007/s11695-013-1010-3
Zhang MW, Ho RC, Hawa R, Sockalingam S. Analysis of the information quality of bariatric surgery smartphone applica-tions using the silberg scale. Obes Surg. 2016; 26(1): 163-168. doi: 10.1007/s11695-015-1890-5
Quelly SB, Norris AE, DiPietro JL. Impact of mobile apps to combat obesity in children and adolescents: A systematic literature review. J Spec Pediatr Nurs. 2016; 21(1): 5-17. doi: 10.1111/jspn.12134
Azar KM, Lesser LI, Laing BY, et al. Mobile applications for weight management: theory-based content analysis. Am J Prev Med. 2013; 45(5): 583-589. doi: 10.1016/j.amepre.2013.07.005
Yoo HJ, Park MS, Kim TN, et al.AUbiquitous chronic disease care system using cellular phones and the internet. Diabet Med. 2009; 26(6): 628-635. doi: 10.1111/j.1464-5491.2009.02732.x
Yoon KH, Kim HS. A short message service by cellular phone in type 2 diabetic patients for 12 months. Diabetes Res Clin Pract. 2008; 79: 256-261. doi: 10.1016/j.diabres.2007.09.007
Dobkin BH, Dorsch A. The promise of mHealth: Daily ac-tivity monitoring and outcome assessments by wearable sen-sors. Neurorehabil Neural Repair. 2011; 25(9): 788-798. doi: 10.1177/1545968311425908
Quinn CC, Clough SS, Minor JM, Lender D, Okafor MC, Gruber-Baldini A. WellDoc mobile diabetes management ran-domized controlled trial: Change in clinical and behavioral out-comes and patient and physician satisfaction. Diabetes Technol Ther. 2008; 10(3): 160-168. doi: 10.1089/dia.2008.0283
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
All content published in Public Health - Open Journal (PHOJ) is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows anyone to copy, distribute, transmit, and adapt the work — including for commercial purposes — provided appropriate credit is given to the original author(s) and source.