Title |
Identifying and Addressing Barriers to Uptake of Voluntary Medical Male Circumcision in Nyanza, Kenya among Men 18–35: A Qualitative Study
|
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Published in |
PLOS ONE, June 2014
|
DOI | 10.1371/journal.pone.0098221 |
Pubmed ID | |
Authors |
Emily Evens, Michele Lanham, Catherine Hart, Mores Loolpapit, Isaac Oguma, Walter Obiero |
Abstract |
Uptake of VMMC among adult men has been lower than desired in Nyanza, Kenya. Previous research has identified several barriers to uptake but qualitative exploration of barriers is limited and evidence-informed interventions have not been fully developed. This study was conducted in 2012 to 1) increase understanding of barriers to VMMC and 2) to inform VMMC rollout through the identification of evidence-informed interventions among adult men at high risk of HIV in Nyanza Province, Kenya. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
United Kingdom | 1 | <1% |
Malawi | 1 | <1% |
Tanzania, United Republic of | 1 | <1% |
Unknown | 125 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 27 | 21% |
Researcher | 21 | 16% |
Student > Ph. D. Student | 18 | 14% |
Student > Bachelor | 7 | 5% |
Other | 7 | 5% |
Other | 23 | 18% |
Unknown | 27 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 34 | 26% |
Social Sciences | 19 | 15% |
Nursing and Health Professions | 16 | 12% |
Economics, Econometrics and Finance | 6 | 5% |
Computer Science | 4 | 3% |
Other | 12 | 9% |
Unknown | 39 | 30% |