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Online data collection for health department utilization Christine Khosropour CFAR-Public Health Consortium Meeting October 7, 2014
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Outline Online survey: “MSM testing practices and preferences survey” Benefits of online data collection Logistics Caveats Survey Feedback
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MSM Testing Survey Technical Cooperation Group (TCG): –Collect and disseminate health department best practices related to high-impact HIV prevention –PHSKC, Mississippi, Tennessee, North Carolina, Florida, Chicago, Philadelphia
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MSM Testing Survey Purpose: Examine MSM-focused HIV testing infrastructure and preferences for testing in each health jurisdiction Outcome: Enhance local testing services for MSM
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MSM Testing Survey Topics HIV testing history & where last tested Reasons for not testing Testing for HIV/STIs at same time PCP testing for HIV/STI Preferences for testing location and type Utilization of specialty MSM care clinics Stigma and outness
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MSM Testing Survey Health jurisdiction Target number of respondents Florida500 Tennessee300 Mississippi300 North Carolina300 Washington300 Philadelphia200 Chicago200 TOTAL2,100
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Why Online Data Collection Quick Inexpensive Easy for respondents Wide geographic reach Monitor data in real-time Best suited for prevalence estimates and location-specific data
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How it works Click Advertisement Could be millions of impressions! But only 100s of respondents
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Logistics of Online Data Collection Advertising (recruitment): Targeted advertising on Facebook: –Location –Demographics –Interests Facebook gives denominator data
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Logistics of Online Data Collection Resources –Ad cost (e.g., iStockPhoto) –Ad placement cost Pay per click (click-through 0.05% - 0.2%) –Recent national MSM campaign was $1.11 per completed survey Number of respondents –Budget limit –Advertise for a specific period of time –Monitor number of respondents
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Logistics of Online Data Collection Time –Only a few weeks! –E.g., survey of rural LGBTQ respondents had 974 completed surveys in 10 days including: 450 MSM respondents (in 5 days) 200 transgender respondents –Depends on where and to whom you are targeting
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Online Data Collection Caveats Selection bias –Internet, website/app, advertisement Duplicate responses Incomplete surveys: importance of survey design
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Survey Interest in receiving data from survey Feedback
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Questions?
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