| Literature DB >> 24686487 |
Hendra Van Zyl1, Marike Kotze2, Ria Laubscher3.
Abstract
eHealth has been identified as a useful approach to disseminate HIV/AIDS information. Together with Consumer Health Informatics (CHI), the Web-to-Public Knowledge Transfer Model (WPKTM) has been applied as a theoretical framework to identify consumer needs for AfroAIDSinfo, a South African Web portal. As part of the CHI practice, regular eSurveys are conducted to determine whether these needs are changing and are continually being met. eSurveys show high rates of satisfaction with the content as well as the modes of delivery. The nature of information is thought of as reliable to reuse; both for education and for referencing of information. Using CHI and the WPKTM as a theoretical framework, it ensures that needs of consumers are being met and that they find the tailored methods of presenting the information agreeable. Combining ICTs and theories in eHealth interventions, this approach can be expanded to deliver information in other sectors of public health.Entities:
Mesh:
Year: 2014 PMID: 24686487 PMCID: PMC4025007 DOI: 10.3390/ijerph110403570
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographic profile of respondents (n = 83).
| Characteristics | % | Explanation |
|---|---|---|
| Gender | 35% (n = 29) | Males |
| 65% (n = 54) | Females | |
| Consumer group | 29% (n = 24) | Health Profession and Education consumer groups had the highest respondent rates; |
| Age | 53.1% (n = 44) | Highest response rates were among ages 35-54 years; |
| Qualifications | 53% (n = 44) | Highest response rates were among post-graduates; |
| Country | 74% (n = 62) | South Africa; |
| Length of membership | 37% (n = 31) | Highest response rate was among those with 1–3 years membership; |
| Profession related to consumer group | 87% (n = 72) | Confirmed that they registered in a consumer group related to their professions |
Figure 1Reasons why respondents’ became members of AfroAIDSinfo.
Respondents reading monthly articles and eNewsletters.
| Consumer groups | Monthly articles | Monthly eNewsletter |
|---|---|---|
| Health Profession | 100% (n = 24) | 96% (n = 23) |
| Public | 93% (n = 14) | 100% (n = 15) |
| Science | 93% (n = 14) | 93% (n = 14) |
| Policy | 80% (n = 4) | 100% (n = 5) |
| Education | 79% (n = 19) | 100% (23) |
2010 and 2013 by consumer groups and 6 criteria on meeting information needs.
| 2010 | ||||||
|---|---|---|---|---|---|---|
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| 95.5 | 100.0 | 66.7 | 93.9 | 90.0 | 93.9 |
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| 95.5 | 100.0 | 83.3 | 98.0 | 100.0 | 97.7 |
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| 63.6 | 88.2 | 50.0 | 65.3 | 70.0 | 71.0 |
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| 86.4 | 91.2 | 100.0 | 91.8 | 80.0 | 89.3 |
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| 100.0 | 97.1 | 83.3 | 95.9 | 100.0 | 96.9 |
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| 90.9 | 91.2 | 66.7 | 91.8 | 90.0 | 90.1 |
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| 100.0 | 95.8 | 100.0 | 87.5 | 93.3 | 94.0 |
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| 100.0 | 91.7 | 100.0 | 100.0 | 86.7 | 95.2 |
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| 80.0 | 62.5 | 100.0 | 75.0 | 60.0 | 71.1 |
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| 93.3 | 79.2 | 80.0 | 100.0 | 93.3 | 90.4 |
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| 100.0 | 95.8 | 100.0 | 95.8 | 93.3 | 96.4 |
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| 100.0 | 91.7 | 100.0 | 95.8 | 93.3 | 95.2 |
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Logistic regression model using 2010 and Health Profession as reference group.
| Meet All 6 Criteria | Odds Ratio | 95% Confidence Interval | ||
|---|---|---|---|---|
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| 2013 | 1.184 | 0.559 | 0.672 | 2.087 |
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| Public | 1.266 | 0.568 | 0.563 | 2.850 |
| Education | 1.463 | 0.296 | 0.716 | 2.987 |
| Policy | 0.917 | 0.894 | 0.256 | 3.287 |
| Science | 0.812 | 0.615 | 0.361 | 1.828 |