Maximizing Engagement in Mobile Health Studies Lessons Learned and Future Directions

被引：99

作者：

Druce, Katie L. ^{[1
]}

Dixon, William G. ^{[1
,2
]}

McBeth, John ^{[1
,2
]}

机构：

[1] Univ Manchester, Arthrit Res UK Ctr Epidemiol, Manchester, Lancs, England

[2] Cent Manchester Univ Hosp NHS Fdn Trust, NIHR Manchester Musculoskeletal Biomed Res Unit, Manchester, Lancs, England

来源：

RHEUMATIC DISEASE CLINICS OF NORTH AMERICA | 2019年 / 45卷 / 02期

基金：

英国医学研究理事会;

关键词：

Epidemiology; mHealth; Methods; Remote monitoring; Rheumatic diseases; Patient reported outcomes; TECHNOLOGY; APP;

D O I：

10.1016/j.rdc.2019.01.004

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

The widespread availability of smartphones, tablets, and smartwatches has led to exponential growth in the number of mobile health (mHealth) studies conducted. Although promising, the key challenge of all apps (both for research and nonresearch) is the high attrition rate of participants and users. Numerous factors have been identified as potentially influencing engagement, and it is important that researchers consider these and how best to overcome them within their studies. This article discusses lessons learned from attempting to maximize engagement in 2 successful UK mHealth studies-Cloudy with a Chance of Pain and Quality of Life, Sleep and Rheumatoid Arthritis.

引用

页码：159 / +

页数：15

共 22 条

[1]

[Anonymous], 2017, MOBILE FACT SHEET

[2] The mPower study, Parkinson disease mobile data collected using ResearchKit [J].

Bot, Brian M. ;

Suver, Christine ;

Neto, Elias Chaibub ;

Kellen, Michael ;

Klein, Arno ;

Bare, Christopher ;

Doerr, Megan ;

Pratap, Abhishek ;

Wilbanks, John ;

Dorsey, E. Ray ;

Friend, Stephen H. ;

Trister, Andrew D. .

SCIENTIFIC DATA, 2016, 3

[3] Using a ResearchKit Smartphone App to Collect Rheumatoid Arthritis Symptoms From Real-World Participants: Feasibility Study [J].

Crouthamel, Michelle ;

Quattrocchi, Emilia ;

Watts, Sarah ;

Wang, Sherry ;

Berry, Pamela ;

Garcia-Gancedo, Luis ;

Hamy, Valentin ;

Williams, Rachel E. .

JMIR MHEALTH AND UHEALTH, 2018, 6 (09)

[4] Using technology to support clinical care and research in rheumatoid arthritis [J].

Dixon, William G. ;

Michaud, Kaleb .

CURRENT OPINION IN RHEUMATOLOGY, 2018, 30 (03) :276-281

[5] The Promise of mHealth: Daily Activity Monitoring and Outcome Assessments by Wearable Sensors [J].

Dobkin, Bruce H. ;

Dorsch, Andrew .

NEUROREHABILITATION AND NEURAL REPAIR, 2011, 25 (09) :788-798

[6] Quality of life, sleep and rheumatoid arthritis (QUASAR): a protocol for a prospective UK mHealth study to investigate the relationship between sleep and quality of life in adults with rheumatoid arthritis [J].

Druce, Katie L. ;

Cordingley, Lis ;

Short, Vicky ;

Moore, Susan ;

Hellman, Bruce ;

James, Ben ;

Lunt, Mark ;

Kyle, Simon D. ;

Dixon, Will G. ;

McBeth, John .

BMJ OPEN, 2018, 8 (01)

[7] Recruitment and Ongoing Engagement in a UK Smartphone Study Examining the Association Between Weather and Pain: Cohort Study [J].

Druce, Katie L. ;

McBeth, John ;

van der Veer, Sabine N. ;

Selby, David A. ;

Vidgen, Bertie ;

Georgatzis, Konstantinos ;

Hellman, Bruce ;

Lakshminarayana, Rashmi ;

Chowdhury, Afiqul ;

Schultz, David M. ;

Sanders, Caroline ;

Sergeant, Jamie C. ;

Dixon, William G. .

JMIR MHEALTH AND UHEALTH, 2017, 5 (11)

[8] Reliability and concurrent validity of a peripheral pulse oximeter and health-app system for the quantification of heart rate in healthy adults [J].

Elena Losa-Iglesias, Marta ;

Becerro-de-Bengoa-Vallejo, Ricardo ;

Ricardo Becerro-de-Bengoa-Losa, Klark .

HEALTH INFORMATICS JOURNAL, 2016, 22 (02) :151-159

[9] The Law of Attrition [J].

Eysenbach, G .

JOURNAL OF MEDICAL INTERNET RESEARCH, 2005, 7 (01)

[10] Novel Method to Efficiently Create an mHealth App: Implementation of a Real-Time Electrocardiogram R Peak Detector [J].

Gliner, Vadim ;

Behar, Joachim ;

Yaniv, Yael .

JMIR MHEALTH AND UHEALTH, 2018, 6 (05)

← 1 2 3 →