Title |
Assessing outcomes of large-scale public health interventions in the absence of baseline data using a mixture of Cox and binomial regressions
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Published in |
BMC Medical Research Methodology, January 2014
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DOI | 10.1186/1471-2288-14-2 |
Pubmed ID | |
Authors |
Thierry Duchesne, Belkacem Abdous, Catherine M Lowndes, Michel Alary |
Abstract |
Large-scale public health interventions with rapid scale-up are increasingly being implemented worldwide. Such implementation allows for a large target population to be reached in a short period of time. But when the time comes to investigate the effectiveness of these interventions, the rapid scale-up creates several methodological challenges, such as the lack of baseline data and the absence of control groups. One example of such an intervention is Avahan, the India HIV/AIDS initiative of the Bill & Melinda Gates Foundation. One question of interest is the effect of Avahan on condom use by female sex workers with their clients. By retrospectively reconstructing condom use and sex work history from survey data, it is possible to estimate how condom use rates evolve over time. However formal inference about how this rate changes at a given point in calendar time remains challenging. |
X Demographics
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United States | 3 | 38% |
United Kingdom | 2 | 25% |
Unknown | 3 | 38% |
Demographic breakdown
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Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
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United Kingdom | 1 | 3% |
Unknown | 34 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 6 | 17% |
Researcher | 6 | 17% |
Other | 4 | 11% |
Student > Ph. D. Student | 4 | 11% |
Student > Bachelor | 3 | 9% |
Other | 6 | 17% |
Unknown | 6 | 17% |
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Mathematics | 1 | 3% |
Other | 5 | 14% |
Unknown | 6 | 17% |