| Literature DB >> 26146824 |
Douglas S Krakower1, Catherine E Oldenburg2, Jennifer A Mitty3, Ira B Wilson4, Ann E Kurth5, Kevin M Maloney6, Donna Gallagher7, Kenneth H Mayer8.
Abstract
BACKGROUND: Antiretroviral treatment for HIV-infection before immunologic decline (early ART) and pre-exposure chemoprophylaxis (PrEP) can prevent HIV transmission, but routine adoption of these practices by clinicians has been limited.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26146824 PMCID: PMC4492498 DOI: 10.1371/journal.pone.0132398
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Clinician beliefs and reported practices regarding early antiretroviral treatment (n = 105), New England, 2013.
Participants were presented with statements about early antiretroviral treatment and asked to indicate their degree of agreement (strongly agree, agree, disagree, strongly disagree). Numbers within bars represent the percentage of respondents selecting each response category. Blue shading represents agreement, whereas red shading represents disagreement. Data are restricted to clinicians who have prescribed antiretroviral therapy to at least 1 HIV-infected patient in the prior year.
Demographics and practice characteristics of healthcare practitioners completing a survey regarding the use of antiretroviral medications for HIV prevention (n = 184), New England, 2013.
| Clinician Characteristics | Median (IQR) or n (%) | |
|---|---|---|
| Age, years | 44 (35–55) | |
| Female | 103/181 (56.9) | |
| Race | White | 142/174 (81.6) |
| Asian | 21/174 (12.1) | |
| Black or African American | 9/174 (5.2) | |
| Other | 2/174 (1.2) | |
| Hispanic or Latino/a origin | 6/174 (3.4) | |
| Gay, Lesbian, or Bisexual | 26/178 (14.2) | |
| Clinic type | Public | 108/183 (59.0) |
| Private | 38/183 (20.8) | |
| Other | 37/183 (20.2) | |
| Employment Setting | Urban | 141/182 (77.5) |
| Suburban | 31/182 (17.0) | |
| Rural | 10/182 (5.5) | |
| Location | Massachusetts | 101/184 (54.9) |
| Connecticut | 35/184 (19.0) | |
| Rhode Island | 22/184 (12.0) | |
| Maine | 6/184 (3.3) | |
| New Hampshire | 1/184 (0.5) | |
| Vermont | 3/184 (1.6) | |
| Other | 16/184 (8.7) | |
| Clinician type | Nurse practitioner | 44/184 (23.9) |
| Primary care physician | 40/184 (21.7) | |
| Infectious diseases physician | 39/184 (21.1) | |
| Other specialist physician | 23/184 (12.5) | |
| Resident or Fellow | 22/184 (12.0) | |
| Physician assistant | 6/184 (3.3) | |
| Other | 10/184 (5.4) | |
| Experience with HIV-infected patients | Percentage of patient panel with HIV-infection | 15% (5–45%) |
| Years caring for HIV-infected patients | 10 (4–20) | |
| HIV-infected patients under direct care | 17 (2–80) | |
| HIV-infected patients cared for in typical month | 8 (1–30) | |
| ART prescribing | HIV-infected patients initiated on ART in prior year | 3 (3–15) |
| ART initiation in prior year with main goal of reducing infectiousness | 1 (0–5) | |
| Percent of HIV-infected patients currently on ART | 90% (80–100%) | |
IQR, interquartile range; ART, antiretroviral treatment; LGBT, lesbian, gay, bisexual, and transgender.
aRestricted to ART-prescribing clinicians, i.e. practitioners who prescribe antiretroviral treatment to HIV-infected patients (n = 112).
Factors associated with awareness, practices, and prescribing intentions regarding early antiretroviral treatment (ART) among ART-prescribing clinicians, New England, 2013.
| Model | ||||
|---|---|---|---|---|
| Aware of DHHS Recommendations regarding Early ART (n = 102 | More Likely to Recommend Early ART (n = 101) | Intend to Prescribe Early ART to All Patients (n = 103) | ||
| Practitioner Characteristics | aOR | aOR | aOR | |
| Age (years) | 0.96 (0.91 to 1.01) | 0.98 (0.94 to 1.01) | 0.98 (0.94 to 1.03) | |
| Female gender | 0.87 (0.33 to 2.30) | 0.95 (0.44 to 2.06) | 0.84 (0.33 to 2.16) | |
| Clinician type | PCP | Ref | Ref | Ref |
| ID Specialist | 1.04 (0.30 to 3.59) | 2.40 (0.89 to 6.43) | 3.32 (0.98 to 11.2) | |
| ANP/PA | 1.16 (0.29 to 4.68) | 2.00 (0.64 to 6.19) | 1.30 (0.36 to 4.70) | |
| All other | 1.10 (0.24 to 5.13) | 1.38 (0.39 to 4.84) | 1.97 (0.48 to 8.02) | |
| White/Caucasian vs. all other race/ethnicities | 1.01 (0.30 to 3.39) | 0.75 (0.30 to 1.92) | 1.14 (0.35 to 3.65) | |
| Percent of patients who are HIV-infected | 1.04 (0.90 to 1.20) | 1.00 (0.89 to 1.11) |
| |
DHHS, Department of Health and Human Services; aOR, adjusted odds ratio; PCP, primary care physician; ID, infectious diseases; ANP, advanced nurse practitioner; PA, physician assistant. Significant results in bold.
aThree participants did not report race/ethnicity and were excluded from model.
bMultivariable logistic regression models adjusted for all other covariates from first 2 columns.
cOrdinal logistic regression model adjusted for all other covariates from first 2 columns. Ordered levels were never, rarely, sometimes, often, and always.
dPer 10% increase in percent of practice that is HIV-infected.
Fig 2Clinician beliefs regarding pre-exposure prophylaxis (n = 181), New England, 2013.
Participants indicated their degree of agreement (strongly agree, agree, neutral, disagree, strongly disagree) to statements about pre-exposure prophylaxis. Numbers within bars represent the percentage of respondents selecting each response category. Blue shading represents agreement, neutral shading represents neutrality, and red shading represents disagreement.
Fig 3Clinicians’ perceived barriers to prescribing pre-exposure prophylaxis (n = 155), New England, 2013.
Numbers within bars represent the percentage of participants selecting each response category. Data are restricted to clinicians from specialties for which PrEP prescribing may be feasible, i.e., those that involve provision of longitudinal medical care.
Factors associated with awareness, experience, and prescribing intentions regarding pre-exposure prophylaxis (PrEP) among healthcare providers, New England, 2013.
| Model | ||||
|---|---|---|---|---|
| Aware of CDC Recommendations(n = 146) | Have Prescribed PrEP (n = 145 | More Likely to Prescribe PrEP in Future(n = 118 | ||
| Clinician Characteristics | aOR | aOR | aOR | |
| Age (years) |
|
|
| |
| Female | 1.33 (0.47 to 3.80) |
| 0.71 (0.31 to 1.61) | |
| Clinician type | PCP | Ref | Ref | Ref |
| ID Specialist | 6.21 (0.67 to 57.3) | 0.82 (0.20 to 3.29) | 0.64 (0.24 to 1.68) | |
| ANP/PA | 0.34 (0.10 to 1.21) | 2.59 (0.65 to 10.2) | 0.78 (0.28 to 2.19) | |
| All other | 1.18 (0.30 to 4.62) | 3.22 (0.74 to 14.0) | 1.95 (0.58 to 6.60) | |
| White/Caucasian vs. all other race/ethnicities | 1.07 (0.31 to 3.76) | 0.32 (0.10 to 1.06) | 0.68 (0.24 to 1.96) | |
| Percent of patients who are HIV-infected | 1.18 (0.97 to 1.44) | 1.02 (0.88 to 1.18) |
| |
CDC, Centers for Disease Control and Prevention; aOR, adjusted odds ratio; PCP, primary care physician; ID, infectious diseases; NP, advanced nurse practitioner; PA, physician assistant. Significant results in bold.
aAnalyses restricted to providers from specialties that involve longitudinal care of medical patients.
bAmong clinicians who had not previously prescribed PrEP.
cMultivariable logistic regression models adjusted for all other covariates from first column.
dOrdinal logistic regression model adjusted for all other covariates from first 2 columns. Ordered levels were very unlikely, unlikely, likely, and very likely.
ePer 10% increase in percent of practice that is HIV-infected.