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
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
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% |