Surveillance of HIV Risk and Prevention Behaviors of Men Who Have Sex with Men—A National Application of Venue-Based, Time-Space Sampling

MacKellar, Duncan; Gallagher, Kathleen; Finlayson, Teresa; Sanchez, Travis; Lansky, Amy; Sullivan, Patrick S.

doi:10.1177/00333549071220s107

Cited by 345 publications

(325 citation statements)

References 36 publications

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“…The NHBS system uses time-location sampling to collect data. 3 The published results regard the data as simple random samples (clustering within venues and cities, differential venue attendance patterns, and sampling fractions at individual sampling events are not considered; the logistic regression models do include geographic area as a fixed effect). As summarized above, estimates from these analyses describe a population resembling the actual men sampled, rather than a larger population.…”

Section: Discussionmentioning

confidence: 99%

“…2 First, formative research attempted to identify all venues (locations) at which enough persons from the population of interest could be found on some day during a period of at least 4 hours to make recruitment worthwhile. The potential sampling periods for each day were defined; there could be more than one period on a day at a venue (see MacKellar et al 3 for a hypothetical example). These venues and sampling times formed the sampling frame from which locations were selected; the sampling frame could be redefined monthly based on updated attendance information (venues could be added or deleted).…”

Section: Introductionmentioning

confidence: 99%

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Statistical Methods for the Analysis of Time–Location Sampling Data

Karon

Wejnert

2012

J Urban Health

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Time-location sampling (TLS) is useful for collecting information on a hard-toreach population (such as men who have sex with men [MSM]) by sampling locations where persons of interest can be found, and then sampling those who attend. These studies have typically been analyzed as a simple random sample (SRS) from the population of interest. If this population is the source population, as we assume here, such an analysis is likely to be biased, because it ignores possible associations between outcomes of interest and frequency of attendance at the locations sampled, and is likely to underestimate the uncertainty in the estimates, as a result of ignoring both the clustering within locations and the variation in the probability of sampling among members of the population who attend sampling locations. We propose that TLS data be analyzed as a two-stage sample survey using a simple weighting procedure based on the inverse of the approximate probability that a person was sampled and using sample survey analysis software to estimate the standard errors of estimates (to account for the effects of clustering within the first stage [locations] and variation in the weights). We use data from the Young Men's Survey Phase II, a study of MSM, to show that, compared with an analysis assuming a SRS, weighting can affect point prevalence estimates and estimates of associations and that weighting and clustering can substantially increase estimates of standard errors. We describe data on location attendance that would yield improved estimates of weights. We comment on the advantages and disadvantages of TLS and respondent-driven sampling.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Statistical Methods for the Analysis of Time–Location Sampling Data

Karon

Wejnert

2012

J Urban Health

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“…This specific approach was used in previous studies (Williamson & Hart, 2007;Stueve et al, 2001;MacKellar et al, 2007;Muhib et al, 2001), and has proven to be a good and reliable method for gathering both behavioural and biological data in hidden or hard to reach populations. According to the TLS method, spaces (locations) are venues attended by the target population, in this case MSM, while times refer to specific days and time periods when the target population attends each identified space or setting.…”

Section: Samplingmentioning

confidence: 99%

The SIALON Project: Report on HIV Prevalence and Risk Behaviour Among MSM in Six European Cities

Mirandola¹,

Foschia²,

Breveglieri³

et al. 2012

Epidemiology Insights

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“…While it is possible to recruit quasi-probability samples of MSM using time-location sampling in venues [20,21], this can be costly when compared with recruiting men through the Internet. Since behavioural surveillance requires cross-sectional surveys to be repeated at regular intervals, keeping the cost down is a priority for many countries.…”

Section: Samplingmentioning

confidence: 99%

HIV and STI behavioural surveillance among men who have sex with men in Europe

et al. 2009

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This paper describes behavioural surveillance for HIV and sexually transmitted infections (STI) among men who have sex with men (MSM) in Europe, focusing on the methods and indicators used. In August 2008, questionnaires were sent to European Union Member States and European Free Trade Association countries seeking information on behavioural surveillance activities among eight population groups including MSM. Thirty-one countries were invited to take part in the survey and 27 returned a questionnaire on MSM. Of these 27 countries, 14 reported that there was a system of behavioural surveillance among MSM in their country while another four countries had conducted behavioural surveys of some kind in this subpopulation. In the absence of a sampling frame, all European countries used convenience samples for behavioural surveillance among MSM. Most European countries used the Internet for recruiting and surveying MSM for behavioural surveillance reflecting increasing use of the Internet by MSM for meeting sexual partners. While there was a general consensus about the main behavioural indicators (unprotected anal intercourse, condom use, number of partners, HIV testing), there was considerable diversity between countries in the specific indicators used. We suggest that European countries reach an agreement on a core set of indicators. In addition we recommend that the process of harmonising HIV and STI behavioural surveillance among MSM in Europe continues.

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Surveillance of HIV Risk and Prevention Behaviors of Men Who Have Sex with Men—A National Application of Venue-Based, Time-Space Sampling

Cited by 345 publications

References 36 publications

Statistical Methods for the Analysis of Time–Location Sampling Data

Statistical Methods for the Analysis of Time–Location Sampling Data

The SIALON Project: Report on HIV Prevalence and Risk Behaviour Among MSM in Six European Cities

HIV and STI behavioural surveillance among men who have sex with men in Europe

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