Review Article
Connected Health Apps and Devices: Implications for Healthcare Delivery
Helen Figge* and Joseph C Kvedar
Published: 25 June, 2019 | Volume 3 - Issue 1 | Pages: 035-039
Healthcare is realizing the importance of health information technology - its applications and devices in play today. Advancing healthcare best practices will rely on up to date data and analysis to provide the most effective forms of therapy. Healthcare is becoming more reliant on patients who are engaging in their own healthcare. With this we are seeing an increase in available health related apps for these devices. This summary reviews various connected health strategies using proven apps and devices to improving the quality of care, promoting patient engagement, and improving outcomes. Here we discuss several trends and the healthcare delivery implications.
Read Full Article HTML
DOI: 10.29328/journal.cjncp.1001014
Cite this Article
Read Full Article PDF
Keywords:
Digital health; Wearable computing; Telehealth; Remote patient monitoring
References
- GO-Gulf.com. Smartphone users around the world – statistics and facts [infographic]. 2018; Ref.: http://bit.ly/2LbfW1L
- International Telecommunications Union. The world in 2011: ICT facts and figures. 2011. Retrieved on 12/14/2018; Ref.: http://bit.ly/2ZQy1Gt
- Kvedar J, Coye MJ, Everett W. Connected health: a review of technologies and strategies to improve patient care with telemedicine and telehealth. Health Aff (Millwood). 2014; 33: 194-199. Ref.: http://bit.ly/2Xw7mAZ
- National Institute of Diabetes, and Digestive and Kidney diseases. Health Risks of Being Overweight. Retrieved on 12/14/2018; Ref.: http://bit.ly/2x9wS0g
- Henriksen A, Haugen Mikalsen M, Woldaregay AZ, Muzny M, Hartvigsen G, et al. Using fitness trackers and smartwatches to measure physical activity in research: analysis of consumer wrist-worn wearables. J Med Internet Res. 2018; 20: e110. Ref.: http://bit.ly/2FsvslV
- Shuger SL, Barry VW, Sui X, McClain A, Hand GA, et al. Electronic feedback in a diet- and physical activity-based lifestyle intervention for weight loss: a randomized controlled trial. Int J Behav Nutr Phys Act. 2011; 8: 41. Ref.: http://bit.ly/31Lddlk
- Pellegrini CA, Verba SD, Otto AD, Helsel DL, Davis KK, et al. The comparison of a technology-based system and an in-person behavioral weight loss intervention. Obesity. 2012; 20: 356-363. Ref.: http://bit.ly/2IHZp3D
- Steinberg DM, Tate DF, Bennett GG, Ennett S, Samuel-Hodge C, et al. The efficacy of a daily self-weighing weight loss intervention using smart scales and email. Obesity. 2013; 21: 1789-1797. Ref.: http://bit.ly/2ZFacRI
- Spring B, Duncan JM, Janke E, Kozak AT, Gene McFadden H, et al. Integrating technology into standard weight loss treatment: A randomized controlled trial. JAMA Intern Med. 2013; 173: 105-111. Ref.: http://bit.ly/2xbvVob
- Ross KM, Wing RR. Impact of Newer Self-Monitoring Technology and Brief Phone-Based Intervention on Weight Loss: A Randomized Pilot Study. Obesity. 2016; 24: 1653-1659 Ref.: http://bit.ly/2RBM0gf
- Polgreen LA, Anthony C, Carr L, Simmering JE, Evans NJ, et al. The effect of automated text messaging and goal setting on pedometer adherence and physical activity in patients with diabetes: A randomized controlled trial. PLoS ONE. 13: e0195797. Ref.: http://bit.ly/2xdROTM
- Rodbard D. Continuous Glucose Monitoring: A Review of Recent Studies Demonstrating Improved Glycemic Outcomes. Diabetes Technol Ther. 2017; 19(Suppl 3): S-25–S-37. Ref.: http://bit.ly/2X5ig1m
- US Food and Drug Administration. Press announcement. FDA expands indication for continuous glucose monitoring system, first to replace fingerstick testing for diabetes treatment decisions. 2016; Ref.: http://bit.ly/2FySRm2
- US Food and Drug Administration. Press announcement. FDA authorizes first fully interoperable continuous glucose monitoring system, streamlines review pathway for similar devices. 2018; Ref.: http://bit.ly/2J5vz8g
- Beck RW, Riddlesworth T, Ruedy K, Ahmann A, Bergenstal R, et al. Effect of Continuous Glucose Monitoring on Glycemic Control in Adults with Type 1 Diabetes Using Insulin Injections: The DIAMOND Randomized Clinical Trial. JAMA. 2017; 317: 371–378. Ref.: http://bit.ly/2IHnt6Q
- El-Laboudi AH, Godsland IF, Johnston DG, Oliver NS. Measures of glycemic variability in type 1 diabetes and the effect of real-time continuous glucose monitoring. Diabetes Technol Ther. 2016; 18: 806–812. Ref.: http://bit.ly/31Lebhs
- van Beers CAJ, de Wit M, Kleijer SJ, Geelhoed-Duijvestijn PH, DeVries JH, et al.: Continuous glucose monitoring for patients with type 1 diabetes and impaired awareness of hypoglycaemia (IN CONTROL): a randomized, open-label, crossover trial. Lancet Diabetes Endocrinol. 2016; 4: 893–902. Ref.: http://bit.ly/2X3jHbC
- Accessed on 1/26/2019. Ref.: http://bit.ly/2Y7CfZI
- Bergenstal RM, Garg S, Weinzimer SA, Buckingham BA, Bode BW, et al. Safety of a hybrid closed-loop insulin delivery system in patients with type 1 diabetes. JAMA. 2016; 316: 1407–1408. Ref.: http://bit.ly/2xfdfDW
- Kilgore M, Patel HK, Kielhorn A, Maya JF, Sharma P. Economic burden of hospitalizations of Medicare beneficiaries with heart failure. Risk Manag Health Policy. 2017; 10: 63–70. Ref.: http://bit.ly/2Xw8bK5
- Dang S, Dimmick S, Kelkar G. Evaluating the evidence base for the use of home telehealth remote monitoring in elderly with heart failure. Telemed J E Health. 2009; 15: 783–796. Ref.: http://bit.ly/2RxzvT2
- Antonicelli R, Testarmata P, Spazzafumo L, Gagliardi C, Bilo G, et al. Impact of telemonitoring at home on the management of elderly patients with congestive heart failure. J Telemed Telecare. 2008; 14: 300–305. Ref.: http://bit.ly/2KINzsr
- Polisena J, Tran K, Cimon K, Hutton B, McGill S, Palmer K, et al. Home telemonitoring for congestive heart failure: a systematic review and meta-analysis. J Telemed Telecare. 2010; 16: 68–76. Ref.: http://bit.ly/2J5CnTc
- Clark RA, Inglis SC, McAlister FA, Cleland JG, Stewart S. Telemonitoring or structured telephone support programs for patients with chronic heart failure: systematic review and meta-analysis. BMJ. 2007; 334: 942. Ref.: http://bit.ly/31VAi4K
- Pekmezaris R, Torez L, Willimas M et al. Home telemonitoring in heart failure: a systematic review and meta-analysis. Health Affairs. 2018; 37: 1983-1989. Ref.: http://bit.ly/31USPOU
- Halcox JPJ, Wareham K, Cardew A, Gilmore M, Barry JP, et al. Assessment of Remote Heart Rhythm Sampling Using the AliveCor Heart Monitor to Screen for Atrial Fibrillation: The REHEARSE-AF Study. Circulation. 2017; 136: 1784-1794 Ref.: http://bit.ly/2KIOYzd
- Steinhubl SR, Waalen J, Edwards AM, Ariniello LM, Mehta RR, et al. Effect of a home-based wearable continuous ecg monitoring patch on detection of undiagnosed atrial fibrillation. The mSToPS randomized clinical trial. JAMA. 2018; 320: 146-155. Ref.: http://bit.ly/2ZNUP9U
- Chin K. Johnson & Johnson to use Apple Watch app for heart-health study. The Wall Street Journal. 2019. Ref.: https://on.wsj.com/2LcAh6N
- Rowland C. Apple now says its smartwatch tech to detect atrial fibrillation is not for those with atrial fibrillation. The Washington Post. 2018; Ref.: https://wapo.st/2KDVNSv
- Grishin D, Obbad K, Estep P, Quinn K, Zaranek SW, et al. Accelerating genomic data generation and facilitating genomic data access using decentralization, privacy-preserving technologies and equitable compensation. Blockchain in Healthcare Today. 2019; Ref.: http://bit.ly/2FwuWn9
- Mullin E. A DNA app store is here, but proceed with caution. MIT Technology Review. 2017; Ref.: http://bit.ly/2LmWrn5