| Literature DB >> 35943787 |
Mohsen Alyami1, Anna Serlachius1, Mikaela Law1, Rinki Murphy2,3, Turky H Almigbal4,5, Mataroria Lyndon6, Mohammed A Batais4,5, Rawabi K Algaw7, Elizabeth Broadbent1.
Abstract
BACKGROUND: Visualizations of illness and treatment processes are promising interventions for changing unhelpful perceptions and improving health outcomes. However, these are yet to be tested in patients with type 2 diabetes mellitus (T2DM).Entities:
Keywords: animation; illness perception; intervention; mobile phone; type 2 diabetes mellitus; visualization
Year: 2022 PMID: 35943787 PMCID: PMC9399876 DOI: 10.2196/35079
Source DB: PubMed Journal: JMIR Form Res ISSN: 2561-326X
Figure 1Participant flowchart. NZ: New Zealand; SA: Saudi Arabia.
Demographic and clinical characteristics of the sample.
| Characteristics | NZa patients (n=15) | SAb patients (n=17) | NZ family members (n=7) | |
| Age (years), mean (SD) | 55.5 (11.1) | 52.7 (11.4) | 44.1 (11.0) | |
| Female, n (%) | 10 (67) | 9 (53) | 6 (86) | |
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| NZ European | 7 (47) | 0 (0) | 3 (43) |
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| Māori | 3 (20) | 0 (0) | 0 (0) |
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| Cook Island | 1 (7) | 0 (0) | 0 (0) |
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| Niuean | 0 (0) | 0 (0) | 1 (14) |
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| Indian | 1 (7) | 0 (0) | 2 (29) |
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| Saudi | 0 (0) | 15 (88) | 0 (0) |
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| Other | 2 (13; Palestinians) and 1 (7; Filipino) | 1 (6; Egyptian) and 1 (6; Yemeni) | 1 (14; South Asian) |
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| No formal education | 2 (13) | 2 (12) | 0 (0) |
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| Secondary education | 3 (20) | 2 (12) | 0 (0) |
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| High school | 4 (27) | 4 (23) | 1 (14) |
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| University education | 6 (40) | 9 (53) | 6 (86) |
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| Single | 4 (27) | 0 (0) | —c |
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| Married or civil union | 9 (60) | 15 (88) | — |
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| Couple or de facto | 1 (7) | 0 (0) | — |
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| Widowed | 1 (7) | 2 (12) | — |
| Working (yes), n (%) | 8 (53) | 6 (35) | — | |
| Taking metformin (yes), n (%) | 13 (87) | 14 (82) | — | |
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| Oral medications only | 9 (60) | 11 (65) | — |
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| Insulin therapy only | 1 (7) | 2 (12) | — |
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| Oral and insulin | 5 (33) | 4 (23) | — |
aNZ: New Zealand.
bSA: Saudi Arabia.
cNot available.
Illness and treatment perceptions and self-efficacy scores at baseline and immediately after the intervention.
| Variable | Baseline, mean (95% CI) | Immediately after intervention, mean (95% CI) | Effect size ( | |||||
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| Personal control | 5.40 (4.11-6.69) | 8.07 (7.03-9.10) | 0.52 | |||
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| Coherence | 6.67 (5.35-7.98) | 9.07 (8.42-9.71) | 0.56 | |||
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| Consequences | 7.53 (6.47-8.60) | 9.27 (8.69-9.84) | 0.43 | |||
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| Concerns | 7.87 (6.61-9.12) | 8.67 (7.98-9.35) | 0.27 | |||
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| Medication | 7.67 (6.55-8.79) | 9.33 (8.88-9.79) | 0.48 | |||
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| Eating healthy food | 8.53 (7.58-9.49) | 9.07 (8.42-9.71) | 0.19 | |||
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| Regular exercise | 7.87 (6.46-9.27) | 8.93 (8.17-9.70) | 0.27 | |||
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| Self-efficacy | 6.13 (4.73-7.54) | 8.40 (7.78-9.02) | 0.52 | |||
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| Personal control | 7.18 (5.53-8.82) | 8.59 (7.77-9.40) | 0.36 | |||
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| Coherence | 7.65 (6.05-9.24) | 9.00 (8.19-9.81) | 0.41 | |||
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| Consequences | 8.00 (6.33-9.67) | 9.18 (8.57-9.79) | 0.23 | |||
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| Concerns | 6.88 (5.15-8.62) | 5.59 (4.06-7.12) | 0.24 | |||
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| Medication | 8.12 (6.89-9.35) | 9.29 (8.67-9.92) | 0.47 | |||
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| Eating healthy food | 8.18 (6.89-9.46) | 9.18 (8.69-9.67) | 0.38 | |||
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| Regular exercise | 8.71 (7.52-9.89) | 9.41 (9.09-9.73) | 0.24 | |||
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| Self-efficacy | 7.71 (6.22-9.19) | 9.06 (8.47-9.65) | 0.34 | |||
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| Personal control | 6.71 (3.57-9.86) | 8.43 (6.93-9.93) | 0.44 | |||
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| Coherence | 7.14 (5.90-8.39) | 8.57 (6.98-10.16) | 0.37 | |||
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| Consequences | 8.86 (7.40-10.31) | 9.00 (7.81-10.19) | 0.10 | |||
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| Concerns | 8.00 (5.38-10.62) | 6.71 (4.23-9.20) | 0.39 | |||
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| Medication | 6.71 (4.11-9.31) | 9.43 (8.03-10.83) | 0.51 | |||
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| Eating healthy food | 7.86 (5.44-10.27) | 9.29 (8.59-9.98) | 0.40 | |||
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| Regular exercise | 8.57 (7.39-9.75) | 9.57 (8.84-10.30) | 0.55 | |||
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| Self-efficacy | 6.14 (3.56-8.73) | 7.57 (5.66-9.49) | 0.23 | |||
aNZ: New Zealand.
bSA: Saudi Arabia.