| Title |
Evaluating audio computer assisted self-interviews in urban south African communities: evidence for good suitability and reduced social desirability bias of a cross-sectional survey on sexual behaviour
|
|---|---|
| Published in |
BMC Medical Research Methodology, January 2013
|
| DOI | 10.1186/1471-2288-13-11 |
| Pubmed ID | |
| Authors |
Roxanne Beauclair, Fei Meng, Nele Deprez, Marleen Temmerman, Alex Welte, Niel Hens, Wim Delva |
| Abstract |
Efficient HIV prevention requires accurate identification of individuals with risky sexual behaviour. However, self-reported data from sexual behaviour surveys are prone to social desirability bias (SDB). Audio Computer-Assisted Self-Interviewing (ACASI) has been suggested as an alternative to face-to-face interviewing (FTFI), because it may promote interview privacy and reduce SDB. However, little is known about the suitability and accuracy of ACASI in urban communities with high HIV prevalence in South Africa. To test this, we conducted a sexual behaviour survey in Cape Town, South Africa, using ACASI methods. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Belgium | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| Ireland | 1 | <1% |
| Nigeria | 1 | <1% |
| Unknown | 118 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 19% |
| Student > Ph. D. Student | 20 | 17% |
| Researcher | 16 | 13% |
| Student > Bachelor | 12 | 10% |
| Student > Doctoral Student | 7 | 6% |
| Other | 24 | 20% |
| Unknown | 19 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 29% |
| Social Sciences | 21 | 17% |
| Nursing and Health Professions | 11 | 9% |
| Psychology | 6 | 5% |
| Mathematics | 4 | 3% |
| Other | 17 | 14% |
| Unknown | 27 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 February 2013.
All research outputs
#13,881,511
of 22,694,633 outputs
Outputs from BMC Medical Research Methodology
#1,343
of 2,001 outputs
Outputs of similar age
#164,461
of 282,272 outputs
Outputs of similar age from BMC Medical Research Methodology
#21
of 34 outputs
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