The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit

被引：153

作者：

Chan, Yu-Feng Yvonne ^{[1
,2
]}

Wang, Pei ^{[1
]}

Rogers, Linda ^{[3
]}

Tignor, Nicole ^{[1
]}

Zweig, Micol ^{[1
]}

Hershman, Steven G. ^{[4
]}

Genes, Nicholas ^{[1
,2
]}

Scott, Erick R. ^{[1
]}

Krock, Eric ^{[4
]}

Badgeley, Marcus ^{[1
]}

Edgar, Ron ^{[4
]}

Violante, Samantha ^{[1
]}

Wright, Rosalind ^{[3
,5
,6
]}

Powell, Charles A. ^{[3
]}

Dudley, Joel T. ^{[1
,7
]}

Schadt, Eric E. ^{[1
]}

机构：

[1] Icahn Sch Med Mt Sinai, Dept Genet & Genom Sci, New York, NY 10029 USA

[2] Icahn Sch Med Mt Sinai, Dept Emergency Med, New York, NY 10029 USA

[3] Icahn Sch Med Mt Sinai, Dept Med Pulm Crit Care & Sleep Med, New York, NY 10029 USA

[4] LifeMap Solut Inc, New York, NY USA

[5] Icahn Sch Med Mt Sinai, Dept Pediat Pulm & Crit Care, New York, NY 10029 USA

[6] Icahn Sch Med Mt Sinai, Dept Environm Med & Publ Hlth, New York, NY 10029 USA

[7] Icahn Sch Med Mt Sinai, Dept Populat Hlth Sci & Policy, New York, NY 10029 USA

来源：

NATURE BIOTECHNOLOGY | 2017年 / 35卷 / 04期

关键词：

mHealth - Clinical research - Diseases;

D O I：

10.1038/nbt.3826

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 [微生物学]; 090105 [作物生产系统与生态工程];

摘要：

The feasibility of using mobile health applications to conduct observational clinical studies requires rigorous validation. Here, we report initial findings from the Asthma Mobile Health Study, a research study, including recruitment, consent, and enrollment, conducted entirely remotely by smartphone. We achieved secure bidirectional data flow between investigators and 7,593 participants from across the United States, including many with severe asthma. Our platform enabled prospective collection of longitudinal, multidimensional data (e.g., surveys, devices, geolocation, and air quality) in a subset of users over the 6-month study period. Consistent trending and correlation of interrelated variables support the quality of data obtained via this method. We detected increased reporting of asthma symptoms in regions affected by heat, pollen, and wildfires. Potential challenges with this technology include selection bias, low retention rates, reporting bias, and data security. These issues require attention to realize the full potential of mobile platforms in research and patient care.

引用

页码：354 / +

页数：12

共 38 条

[1]

Topol E.J., Steinhubl S.R., Torkamani A., Digital medical tools and sensors, J. Am. Med. Assoc., 313, pp. 353-354, (2015)

[2]

Ritter S., Apple's research kit development framework for iPhone apps enables innovative approaches to medical research data collection, J. Clin. Trials, 5, pp. 2-3, (2015)

[3]

Jardine J., Fisher J., Carrick B., Apple's ResearchKit: Smart data collection for the smartphone era?, J. R. Soc. Med., 108, pp. 294-296, (2015)

[4]

Morgan A., Mooney S., Aronow B., Brenner S., Precision Medicine: Data and discovery for improved health and therapy, Pacific Symposium On Biocomputing, (2016)

[5]

Savage N., Mobile data: Made to measure, Nature, 527, pp. S12-S13, (2015)

[6]

Akinbami O.J., Moorman J.E., Liu X., Asthma Prevalence, Health Care Use, and Mortality: United States 2005-2009, (2011)

[7]

Dorsey E.R., Et al., The use of smartphones for health research, Acad. Med., 92, pp. 157-160, (2017)

[8]

Menne M.J., Et al., Global Historical Climatology Network-daily (GHCN-Daily) Version 3, (2012)

[9]

Gul R.B., Ali P.A., Clinical trials: The challenge of recruitment and retention of participants, J. Clin. Nurs., 19, pp. 227-233, (2010)

[10]

Lovato L.C., Hill K., Hertert S., Hunninghake D.B., Probstfield J.L., Recruitment for controlled clinical trials: Literature summary and annotated bibliography, Control. Clin. Trials, 18, pp. 328-352, (1997)

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