| Literature DB >> 28257475 |
Ian Ross1, Carlos Mejia2, Johanna Melendez2, Philip A Chan3, Amy C Nunn4, William Powderly1, Katherine Goodenberger1, Jingxia Liu5, Kenneth H Mayer6,7,8, Rupa R Patel1.
Abstract
INTRODUCTION: HIV continues to be a major health concern with approximately 2.1 million new infections occurring worldwide in 2015. In Central America, Guatemala had the highest incident number of HIV infections (3,700) in 2015. Antiretroviral pre-exposure prophylaxis (PrEP) was recently recommended by the World Health Organization (WHO) as an efficacious intervention to prevent HIV transmission. PrEP implementation efforts are underway in Guatemala and success will require providers that are knowledgeable and willing to prescribe PrEP. We sought to explore current PrEP awareness and prescribing attitudes among Guatemalan physicians in order to inform future PrEP implementation efforts.Entities:
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Year: 2017 PMID: 28257475 PMCID: PMC5336255 DOI: 10.1371/journal.pone.0173057
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Physician demographics (N = 87).
| Variable | N (%) |
|---|---|
| Median Age (Interquartile Range) (Years) | 28 (26–38) |
| Gender | |
| Male | 56 (66) |
| Female | 29 (34) |
| Resident trainee | |
| No | 30 (36) |
| Yes | 53 (64) |
| ID specialist | |
| No | 75 (90) |
| Yes | 8 (10) |
| Prior post-exposure prophylaxis prescribing | |
| No | 59 (68) |
| Yes | 28 (32) |
The denominator for the percentages is the sum of participants across all categories excluding missing values.
Fig 1PrEP awareness among internal medicine physicians in Guatemala City (N = 87).
PrEP awareness was defined as either knowing a little, having read studies, or having prescribed PrEP.
Fig 2Physician willingness to prescribe PrEP for at-risk population scenarios.
Physician willingness to prescribe was defined as somewhat likely, likely or very likely to prescribe PrEP based on a Likert scale response. Abbreviations: men who have sex with men (MSM).
Univariate logistic regression analysis for willingness to wrescribe PrEP among urban Guatemalan physicians (N = 82).
| Characteristic | Crude OR (95% CI) | P value | Adjusted OR (95% CI) | P value |
|---|---|---|---|---|
| Age | 0.93 (0.86, 0.98) | 0.95 (0.86, 1.05) | 0.30 | |
| Gender | 0.44 | 0.12 | ||
| Male | 1.0 | 1.0 | ||
| Female | 0.60 (0.17, 2.18) | 0.23 (0.04, 1.46) | ||
| Resident trainee | 0.89 | |||
| No | 1.0 | 1.0 | ||
| Yes | 5.22 (1.23, 22.20) | 0.83 (0.06, 11.78) | ||
| ID specialist | ||||
| No | 1.0 | 1.0 | ||
| Yes | 0.09 (0.02, 0.47) | 0.07 (0.005, 0.935) | ||
| Prior post-exposure prophylaxis prescribing | 0.67 | 0.12 | ||
| No | 1.0 | 1.0 | ||
| Yes | 1.36 (0.33, 5.60) | 6.66 (0.62, 71.40) | ||
| PrEP awareness | 0.31 | 0.25 | ||
| No | 1.0 | 1.0 | ||
| Yes | 0.44 (0.09, 2.18) | 0.24 (0.02, 2.77) |
Univariate logistic regression analysis for PrEP awareness among urban Guatemalan physicians (N = 87).
| Characteristic | Crude OR (95% CI) | P value | Adjusted OR (95% CI) | P value |
|---|---|---|---|---|
| Age | 1.01 (0.97, 1.06) | 0.61 | 0.97 (0.87, 1.06) | 0.52 |
| Gender | 0.38 | 0.25 | ||
| Male | 1.0 | 1.0 | ||
| Female | 0.65 (0.25, 1.69) | 0.53 (0.18, 1.56) | ||
| Resident trainee | 0.05 | 0.10 | ||
| No | 1.0 | 1.0 | ||
| Yes | 0.33 (0.11, 1.00) | 0.19 (0.03, 1.38) | ||
| Prior post-exposure prophylaxis prescribing | 0.07 | 0.08 | ||
| No | 1.0 | 1.0 | ||
| Yes | 2.74 (0.91, 8.23) | 2.81 (0.87, 9.02) |
Fig 3Physician PrEP prescribing concerns in Guatemala City.
Physician concern was defined as concerned, very concerned, or it would prevent me from prescribing PrEP based on a Likert scale response.