Let’s Talk about Sex, Maybe

Houle, Brian; Angotti, Nicole; Clark, Samuel J.; Williams, Jill; Gómez‐Olivé, F. Xavier; Menken, Jane; Kabudula, Chodziwadziwa Whiteson; Klipstein‐Grobusch, Kerstin; Tollman, Stephen

doi:10.1177/1525822x15595343

Cited by 24 publications

(12 citation statements)

References 20 publications

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“…These features may reduce social desirability bias [3], allowing us to get better information about older persons' partnership and potentially risky sexual behavior [7]. Nonetheless, the ability of the TRHC to reduce social desirability bias may be gendered, since it appears that women are no more likely to report partnerships, particularly those outside of marriage, than in surveys in similar contexts [57].…”

Section: Discussionmentioning

confidence: 99%

Assessing the feasibility of a life history calendar to measure HIV risk and health in older South Africans

et al. 2020

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Life history calendars capture patterns of behavior over time, uncovering transitions and trajectories. Despite the growing numbers of older persons living with HIV in southern Africa, little is known about how HIV testing and risk unfold in this population. Operationalizing a life course approach with the use of an innovative Testing and Risk History Calendar [TRHC], we collected pilot data on older South Africans' risk and HIV testing. We found older persons were able to provide (1) reference points to facilitate recall over a 10-year period, (2) specifics about HIV tests during that decade, and (3) details that contextualize the testing data, such as living arrangements, relationships, and health status. Interviewer debriefing sessions after each interview captured information on context and links across domains. On a larger scale, the TRHC has potential to reveal pathways between sexual behavior, HIV testing and risk perception, and health at older ages.

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Section: Discussionmentioning

confidence: 99%

Assessing the feasibility of a life history calendar to measure HIV risk and health in older South Africans

et al. 2020

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“…As we have limited variability on fieldworker effects, we modeled them as fixed effects. We selected our fieldworker age cut-offs to give variation for comparison, while not categorizing fieldworkers into unrealistic age categories; our cut-offs for “younger” and “older” fieldworkers takes into account that life expectancy in Agincourt is 55 years for males and 62 years for females (Kahn et al, 2012), and that the average age at first birth is 20 (Williams et al, 2013); and these age cut-offs were used previously in a similar study exploring fieldworker effects on sexual behavior reporting (Houle et al, 2016). While in this analysis we tested the effects of social categories of fieldworker age, we also tested models including differences in respondent and fieldworker age, finding most effects to be non-significant.…”

Section: Methodsmentioning

confidence: 99%

“…We aim to explore social attribution effects by including interviewer characteristics, and to test whether these effects persist after allowing for correlation among respondents with the same interviewer. Based on a prior study exploring interviewer effects on sexual-behavior reporting in the same setting (see Houle et al, 2016), we hypothesize that respondents will report less substance use to older interviewers, and that male respondents will report higher substance use to male interviewers. The present inquiry is particularly important given the marked gender disparity in reported substance use in South Africa, and the potential interactions with social norms and desirability around associated risk behaviors.…”

Section: Introductionmentioning

confidence: 99%

Fieldworker effects on substance use reporting in a rural South African setting

Houle

Angotti

Gómez‐Olivé

et al. 2018

IJADR

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Aims: Fieldworkers capturing reports of sensitive behaviors, such as substance use, may influence survey responses and represent an important factor in response validity. We explored the effects and interaction of fieldworker and respondent characteristics (age and gender) in substance (tobacco and alcohol) use reporting. We aim to further the literature on conditional social attribution effects on substance use reporting in the context of South Africa, where accurate estimates of modifiable risk factors are critical for medical and public health practitioners and policy-makers in efforts to reduce chronic disease burden and mortality. Design: We modeled substance use reporting using binary logistic regression. We also tested if fieldworker effects remained, allowing for correlation in reporting for respondents with the same fieldworker using multi-level logistic regression. Setting: Agincourt Health and Socio-Demographic Surveillance System site, rural South Africa. Participants: We used data from a 2010–2011 study on HIV and cardiometabolic risk, ages 15+ (N = 4,684). Measures: Lifetime and current alcohol and tobacco use. Findings: Respondents reported higher lifetime smoking use to older fieldworkers. Male respondents reported higher lifetime alcohol use to older fieldworkers. No fieldworker effects were significant on reports of current smoking. An older, male fieldworker increased the probability of reports of current alcohol use. Adjusting for intra-fieldworker correlation explained many of the observed fieldworker effects. Conclusions: Our results highlight the importance of adjusting for interviewer characteristics to improve the accuracy of chronic disease risk factor estimates and validity of inferred associations. We recommend that surveys collecting information that may be subject to response bias routinely include anonymized fieldworker identifiers and demographic information. Analysts can then use these additional fieldworker data as a tool in evaluating probable bias in respondent reporting.

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“…17 , 18 In South Africa, respondents reported more conservative sexual behavior (fewer lifetime sexual partners and more condom use) to older interviewers, and men were especially likely to report fewer lifetime sexual partners to male interviewers. 19 In Uganda, women were more likely to report sexual activity and willingness to use condoms to male interviewers compared with female interviewers. 20 In Malawi, adolescent girls were more likely to report having had sex when asked by a nurse before testing for sexually transmitted infections, compared with face-to-face interviews or ACASI.…”

Section: Collection Of Behavioral Datamentioning

confidence: 99%

Using Qualitative Methods to Validate and Contextualize Quantitative Findings: A Case Study of Research on Sexual Behavior and Gender-Based Violence Among Young Swazi Women

Ruark

Fielding-Miller

2016

Glob Health Sci Pract

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Nesting qualitative data collection methods within quantitative studies improves results by assessing validity and providing depth and context. Using data from 3 sources from Swaziland, we triangulate qualitative and quantitative findings to highlight how different methodologies produce discrepant data regarding risky sexual behaviors among young women. We found that women reported similar numbers of lifetime sex partners in all sources, but the proportion reporting multiple and concurrent partnerships was several times higher in qualitative interviews. In addition, qualitative data can provide deeper understanding of how participants, such as those experiencing gender-based violence, understood the experiences behind the quantitative statistics.

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Let’s Talk about Sex, Maybe

Cited by 24 publications

References 20 publications

Assessing the feasibility of a life history calendar to measure HIV risk and health in older South Africans

Assessing the feasibility of a life history calendar to measure HIV risk and health in older South Africans

Fieldworker effects on substance use reporting in a rural South African setting

Using Qualitative Methods to Validate and Contextualize Quantitative Findings: A Case Study of Research on Sexual Behavior and Gender-Based Violence Among Young Swazi Women

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