| Literature DB >> 23475457 |
Jennifer N Stinson1, Lindsay A Jibb, Cynthia Nguyen, Paul C Nathan, Anne Marie Maloney, L Lee Dupuis, J Ted Gerstle, Benjamin Alman, Sevan Hopyan, Caron Strahlendorf, Carol Portwine, Donna L Johnston, Mike Orr.
Abstract
BACKGROUND: Pain is one of the most common and distressing symptoms reported by adolescents with cancer. Despite advancements in pain assessment and management research, pain due to cancer and/or its treatments continues to be poorly managed. Our research group has developed a native iPhone application (app) called Pain Squad to tackle the problem of poorly managed pain in the adolescent with cancer group. The app functions as an electronic pain diary and is unique in its ability to collect data on pain intensity, duration, location, and the impact pain has on an adolescent's life (ie, relationships, school work, sleep, mood). It also evaluates medications and other physical and psychological pain management strategies used. Users are prompted twice daily at configurable times to complete 20 questions characterizing their pain and the app transmits results to a database for aggregate reporting through a Web interface. Each diary entry represents a pain case filed by an adolescent with cancer and a reward system (ie, moving up through law-enforcement team ranks, built-in videotaped acknowledgements from fictitious officers) encourages consistent use of the diary.Entities:
Mesh:
Year: 2013 PMID: 23475457 PMCID: PMC3636147 DOI: 10.2196/jmir.2350
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Figure 1Pain Squad app title screen.
Figure 2Screenshots of Pain Squad app assessment functionality showing the visual analogue slider scale (top left), the selectable body-map (top right), a multiple-choice question (bottom left), and a free-text question (bottom right).
Figure 3Screenshots of Pain Squad reward system showing compliance-based promotion scheme (left), and videotaped acknowledgement of the adolescent’s compliance with completing pain assessments (right).
Demographics and disease characteristics of adolescents included in low- and high-fidelity usability testing, content validity testing, and feasibility testing.
|
| Phase 1a: | Phase 1b: | Phase 2: | ||||
| Characteristics | Mean (SD) | n (%) | Mean (SD) | n (%) | Mean (SD) | n (%) | |
|
| |||||||
|
|
| 13.9 (1.9) |
| 13.4 (2.9) |
| 13.2 (2.3) |
|
|
| |||||||
|
| Female |
| 7 (47) |
| 9 (50) |
| 9 (64) |
|
| Male |
| 8 (53) |
| 9 (50) |
| 5 (36) |
|
| |||||||
|
| ALL |
| 4 (27) |
| 6 (33) |
| 7 (50) |
|
| AML |
| 3 (20) |
| 0 (0) |
| 2 (14) |
|
| Ewing’s Sarcoma |
| 1 (7) |
| 3 (17) |
| 1 (7) |
|
| Non-Hodgkin’s Lymphoma |
| 2 (13) |
| 1 (6) |
| 2 (14) |
|
| Osteosarcoma |
| 2 (13) |
| 4 (22) |
| 1 (7) |
|
| Rhabdomyosarcoma |
| 1 (7) |
| 2 (11) |
| 0 (0) |
|
| Other |
| 2 (13) |
| 2 (11) |
| 1 (7) |
|
| |||||||
|
| Inpatient |
| 8 (53) |
| 15 (83) |
| 6 (43) |
|
| Outpatient |
| 7 (47) |
| 3 (17) |
| 8 (57) |
|
| |||||||
|
|
| 0.8 (0.8) |
| 1.4 (4.2) |
| 0.8 (0.7) |
|
aat the time of study recruitment
Figure 4App prototype home screens: the Gum Shoe home screen depicting a detective case file (left), and the Pain Squad home screen depicting the desk of a law enforcement officer (right). Tapping "Start Survey" or "Start Case" begins the pain assessment. Tapping "Accomplishments" or "Rewards" allows review of rank and access to videotaped acknowledgements.
Figure 5Screenshots of Pain Squad app visual analog scales showing before (left) and after (right) verbal and numerical rating anchors were added.
Figure 6Screenshots of Pain Squad app "body map" showing before (left) and after (right) body parts were combined as recommended by adolescents.
Figure 7Screenshots of Pain Squad app "body map" showing before (left) and after (right) specificity of selectable pain location was improved.