| Literature DB >> 24927511 |
Geoffrey Schrader1, Niranjan Bidargaddi, Melanie Harris, Lareen Newman, Sarah Lynn, Leigh Peterson, Malcolm Battersby.
Abstract
BACKGROUND: eHealth facilitation of chronic disease management has potential to increase engagement and effectiveness and extend access to care in rural areas.Entities:
Keywords: chronic disease; eHealth; rural health
Year: 2014 PMID: 24927511 PMCID: PMC4090372 DOI: 10.2196/resprot.2861
Source DB: PubMed Journal: JMIR Res Protoc ISSN: 1929-0748
Participant demographic data and diagnosis.
| Case | Gender | Age (y) | Marital status | Source of referral | Diagnosis/conditions |
| 1 | M | 54 | Not known | A&Ea/hospital | Diabetes, multiple sclerosis |
| 2 | F | 63 | Married | A&E/hospital | Diabetes, post-traumatic stress disorder, hypertension, tachyarrhythmia |
| 3 | M | 78 | Married | Mental health team | Depression, back pain, eyesight, low mobility |
| 4 | F | 65 | Not known | A&E/hospital | Diabetes type 2, fibromyalgia, hypercholesterolemia, hypertension, diabetic neuropathy, restless legs, low mobility |
| 5 | F | 51 | Not known | A&E/hospital | Chronic pain, social agoraphobia |
| 6 | M | 62 | Not known | General practitioner | Depression, Crohn disease, osteoarthritis, anemia, bipolar disorder |
| 7 | F | 70 | Not known | Psychosocial rehabilitation service | Bipolar disorder |
| 8 | F | 49 | Single | Employment access (disability employment) service | Fibromyalgia, depression, scoliosis |
aA&E/hospital: Accident and emergency department in a hospital.
Participants’ online interactions.
| Interaction (No. of patients) | Mean (SD; SEM) | |
| Number of logins (8) | 26.4 (23.5; 8.3) | |
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| ||
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| emails to patients (4) | 1.8 (0.5; 0.3) |
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| SMS to patients (3) | 1.7 (0.6; 0.3) |
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| Internal emails sent to patients (7) | 3.9 (3.4; 1.3) |
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| Internal emails sent by patients (2) | 4.5 (2.1; 1.5) |
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| ||
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| Exercise (3) | 17.3 (19.6; 11.3) |
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| Mood (5) | 11.2 (14.3; 6.4) |
|
| Notes (3) | 9.7 (13.3; 7.7) |
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| ||
|
| Not done (8) | 16.5 (18.9; 6.7) |
|
| Completed (8) | 16.5 (15.2; 5.4) |
|
| Completion rate (6) (%) | 45.2 (26.3; 10.7) |
Figure 1Participant recruitment process.
Figure 2Intervention process.
Figure 4Average number of logins using goACT.
Figure 5Daily login pattern.
Functional outcome changes in health.
|
| Admission to Program | Exit from Program | Change | ||
| Scale | Mean, SEM, SD | Mean, SEM, SD | Mean, SEM, SD | Student’s |
|
| PIHa | 71.4, 3.7, 8.2 | 66.8, 3.5, 7.8 | 4.6, 5.0, 11.1 | 0.92 | 0.4 |
| K10b | 32.2, 2.6, 5.8 | 30.8, 2.4, 5.3 | 1.4, 1.1, 2.5 | 1.25 | 0.3 |
| SF36 (Bodily pain score)c | 37.8, 12.5, 28.0 | 43.6, 5.1, 11.5 | −5.8, 11.6, 25.9 | −0.50 | 0.6 |
| SF36 (Emotional score)c | 13.3, 8.2, 18.3 | 26.7, 12.5, 27.9 | −13.3, 17.0, 38.0 | −0.78 | 0.5 |
| SF36 (Physical functioning score)c | 29.0, 12.4, 27.7 | 22.0, 9.3, 20.8 | 7.0, 3.7, 8.4 | 1.87 | 0.1 |
| SF36 (Social functioning score)c | 40.0, 10.8, 24.0 | 62.5, 11.9, 26.5 | −22.5, 14.5, 32.4 | −1.55 | 0.2 |
| SF36 (Mental health score)c | 50.4, 6.0, 13.4 | 46.4, 5.9, 13.1 | 4.0, 5.5, 12.3 | 0.73 | 0.5 |
| SF36 (Physical health summary)c using Australian norms | 31.8, 7.8, 17.5 | 29.2, 3.0, 6.6 | 2.6, 5.3, 11.8 | 0.49 | 0.7 |
aRange, 0-96.
bRange, 0-100.
cRange, 10-50.
Figure 3goACT platform.