| Literature DB >> 35694121 |
Paul M O'Reilly1,2, Owen M Harney1, Michael J Hogan1, Caroline Mitchell2,3, Brian E McGuire1,2,3, Brian Slattery4.
Abstract
Objectives: eHealth refers to health services and health information delivered or enhanced through the internet and related technologies. The number of eHealth interventions for chronic pain self-management is increasing. However, little evidence has been found for the overall efficacy of these interventions for older adults. The aim of the current study was to use a Collective Intelligence approach to identify the barriers and specific user needs of middle-aged and older adults using eHealth for chronic pain self-management.Entities:
Keywords: Collective intelligence; chronic pain; digital health; eHealth; older adults
Year: 2022 PMID: 35694121 PMCID: PMC9185015 DOI: 10.1177/20552076221105484
Source DB: PubMed Journal: Digit Health ISSN: 2055-2076
Figure 1.Phases in the collective intelligence scenario-based design process.
Participants’ descriptive information.
| Measure | Percent | Mean | (SD) | Range |
|---|---|---|---|---|
| Age | 61.2 | 7.34 | 26 | |
| Gender | ||||
| Female | 71 | |||
| Male | 29 | |||
| General health | ||||
| Poor | 15 | |||
| Fair | 31 | |||
| Good | 31 | |||
| Very good | 8 | |||
| Excellent | 8 | |||
| Conditions | ||||
| Back pain | 92 | |||
| Neck pain | 77 | |||
| Other pain | 69 | |||
| Osteoarthritis | 31 | |||
| Rheumatoid arthritis | 8 | |||
| Other musculoskeletal | 38 | |||
| Sleep disorder | 46 | |||
| Depression | 38 | |||
| Anxiety | 38 | |||
| Multiples | ||||
| Treatment burden | 14.6 | 6.61 | 19 | |
| Prioritising conditions | 15.5 | 3.21 | 9 | |
| Causal links | 11.9 | 2.88 | 10 | |
| Activity limitations | 11.1 | 3.67 | 11 | |
| Emotional representations | 22.6 | 2.88 | 21 | |
| Summary scale | 66.7 | 27.4 | 63 | |
| SF-12 | ||||
| Mental component | 45.3 | 8.46 | 26.7 | |
| Physical component | 35.5 | 6.34 | 23.14 | |
| Chronic pain grade | ||||
| Pain intensity | 70.8 | 17.1 | 50 | |
| Disability score | 64.8 | 26.5 | 77 | |
| Disability points | 3.77 | 2.28 | 6 | |
| PHQ-9 | 12.4 | 5.82 | 12 | |
| GAD-7 | 6.15 | 4.81 | 15 | |
| Healthcare usage | ||||
| General practitioner | 100 | |||
| Physiotherapy services | 69 | |||
| Pain clinic | 62 | |||
| Psychological services | 54 | |||
| Practice nurse | 31 | |||
| Outpatient clinic | 31 | |||
| Inpatient day admission | 31 | |||
| Inpatient overnight stay | 31 | |||
| Technology usage | ||||
| Medical device | 37 | |||
| Internet-based program | 38 | |||
| Smartphone | 31 | |||
| Device usage | ||||
| Portable computer | 62 | |||
| Smartphone | 38 | |||
| Personal computer | 8 | |||
Figure 2.Categories of barriers.
Figure 3.Overview of needs generated in each category.