Connected Health Apps and Devices: Implications for Healthcare Delivery

Main Article Content

Helen Figge
Joseph C Kvedar

Abstract

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.

Article Details

Figge, H., & Kvedar, J. C. (2019). Connected Health Apps and Devices: Implications for Healthcare Delivery. Clinical Journal of Nursing Care and Practice, 3(1), 035–039. https://doi.org/10.29328/journal.cjncp.1001014
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Copyright (c) 2019 Figge H, et al.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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