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Hemoglobin
international journal for hemoglobin research
Volume 39, 2015 - Issue 3
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Original Article

Usability and Feasibility of an mHealth Intervention for Monitoring and Managing Pain Symptoms in Sickle Cell Disease: The Sickle Cell Disease Mobile Application to Record Symptoms via Technology (SMART)

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Pages 162-168 | Received 15 Aug 2014, Accepted 21 Oct 2014, Published online: 01 Apr 2015
 

Abstract

Patients with sickle cell disease frequently experience severe pain events that lead to unplanned healthcare utilization. Mobile health tools (mHealth) may help prevent these events by providing remote monitoring and self-management support. This article describes the feasibility of the Sickle cell disease Mobile Application to Record symptoms via Technology (SMART), an mHealth app developed to help sickle cell disease patients monitor and manage their day-to-day symptoms. Fifteen patients recorded their pain intensity using a paper visual analog scale (VAS) and then repeated this measurement using an electronic VAS pain measure on SMART. Patients continued using SMART to record clinical symptoms, pain intensity, location and perceived severity, and treatment strategies for at least 28 days. Patient median age was 29 years (range 16–54); 60.0% were male. There was a high intraclass correlation between pain measurements entered on the paper VAS and SMART on the iPhone and the iPad We found a strong association between patient perceived pain severity and pain intensity entries using SMART (b = 1.71; p < 0.01). Daily compliance with SMART entries was a mean 75.0%, with a high of 85.7% in week 1 and low of 57.9% in week 4; however, one-third (n = 5) of the patients were 100.0% compliant even in week 4. Patients who were over age 35 or used an iPad for the study had the highest compliance rates. This study showed that SMART is a useable and feasible method for monitoring daily pain symptoms among adolescents and adults with sickle cell disease-related pain.

Acknowledgements

The authors would like to acknowledge Bruce Rollman, M.D., from the University of Pittsburgh, Pittsburgh, PA, USA, for his input and review.

Declaration of interest

Jude Jonassaint is an officer of Sicklesoft. Charles Jonassaint was supported by grant number K12HS022989 from the Agency for Healthcare Research and Quality. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality. The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article

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