| Literature DB >> 29702659 |
Nanlesta Pilgrim1, Nrupa Jani1, Sanyukta Mathur1, Catherine Kahabuka2, Vaibhav Saria1, Neema Makyao3, Lou Apicella1, Julie Pulerwitz1.
Abstract
BACKGROUND: Oral pre-exposure prophylaxis (PrEP) has the potential to reduce HIV acquisition among adolescent girls and young women (AGYW) in sub-Saharan Africa. However, health care providers' (HCPs) perspectives and interactions with potential clients can substantially influence effective provision of quality health services. We examine if HCPs' knowledge, attitude, and skills, as well as their perceptions of facility readiness to provide PrEP are associated with their willingness to provide PrEP to AGYW at high risk of HIV in Tanzania.Entities:
Mesh:
Substances:
Year: 2018 PMID: 29702659 PMCID: PMC5922529 DOI: 10.1371/journal.pone.0196280
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Description of measures used to assess domains of quality of care.
| Domain | Quantitative Measures | Qualitative Measures |
|---|---|---|
| In general, how would you describe providers’ attitudes and perceptions towards providing sexual and reproductive health services to adolescent and young adults? [Probe: How do these attitudes and perceptions differ based on: gender, marital status age] | ||
| Would you feel comfortable prescribing PrEP? Why or why not? [Probe: What about to adolescent girls and young women? | ||
| How can you support women’s use of PrEP or other daily ARV-based medication? | ||
| Do each of seven listed guideline documents (e.g., voluntary counseling and testing guidelines, HIV treatment guidelines) exist at this facility? ( | How well do you think this clinic/health facility is currently doing in providing HIV and other sexual/reproductive health services for adolescents? | |
| Are there services available at this facility that specifically target adolescents and young adults? ( | What do you consider appropriate service-delivery settings to offer PrEP to adolescent girls and young women? Why? | |
| On average, how long does a client wait before being seen by a provider (e.g., counselor, nurse, doctor)? ( | In your opinion, what cadre(s) of providers is needed to ensure appropriate counseling, provision, testing, resupply, and follow-up if PrEP was introduced for adolescent girls and young women? Why? | |
| The waiting rooms are often crowded at this facility. ( | Where do you think adolescent girls and young women would not feel comfortable accessing services? Why? | |
| This facility has experienced stock-outs of 6 listed HIV prevention or treatment options (e.g., condoms, HIV rapid test) in the last 12 months ( | What kind of sexual and reproductive health services do you provide to adolescents and young adult? | |
1One item in the scale was measured on 4-point scale from strongly disagree to strongly agree
Provider and facility characteristics.
| Quantitative Component | Qualitative Component | |
|---|---|---|
| N (%) or mean ± sd | N (%) or mean ± sd | |
| Age | 40.3 | 41.3 |
| Sex | ||
| Male | 91 (28.8) | 9 (37.5) |
| Female | 225 (71.2) | 15 (62.5) |
| Main profession | ||
| Nurse | 154 (48.7) | 10 (41.7) |
| Doctor | 48 (15.2) | 6 (25.0) |
| Clinical Officer | 39 (12.3) | 4 (16.7) |
| Counselor | 41 (13.0) | 0 (0.0) |
| Other (e.g., medical attendant) | 34 10.8) | 4 (16.7) |
| Years worked in profession | 13.3 | - |
| Number of HIV clients served weekly | ||
| 0–20 | 171 (54.1) | - |
| 20 or more | 145 (45.9) | - |
| Prior PrEP knowledge | ||
| No | 305 (96.5) | - |
| Yes | 11 (3.5) | - |
| Willing to prescribe PrEP at AGYW | ||
| No | 123 (38.9) | - |
| Yes | 193 (61.1) | - |
| Regions | ||
| Dar Es Salaam | 196 (62.0) | 12 (50.0) |
| Mbeya | 120 (38.0) | 12 (50.0) |
| Facility Type | ||
| Hospital | 66 (20.9) | 6 (25.0) |
| Health Center | 66 (20.9) | 9 (37.5) |
| Dispensary | 184 (58.2) | 9 (37.5) |
| Facility Managing Authority | ||
| Private | 56 (17.7) | 5 (20.8) |
| Public | 192 (60.8) | 15 (62.5) |
| Faith-based organization | 42 (13.3) | 0 (0.0) |
| Military | 11 (3.5) | 3 (12.5) |
| Parastatal | 15 (4.7) | 1 (4.2) |
Quality of care measures (n = 316).
| N (%) or mean ± sd | ||
|---|---|---|
| Negative Attitudes towards Adolescent Sexuality | 19.4 | |
| Behavioral Disinhibition Scale | 11.0 | |
| Patient-Centered Scale | 34.8 | |
| Provider Training Adequacy Scale | 14.2 | |
| Has access to HIV guidelines | ||
| No | 111 (35.1) | |
| Yes | 205 (64.9) | |
| Facility has services focused on adolescents & young adults | ||
| No/don't know | 63 (19.9) | |
| Yes | 253 (80.1) | |
| PrEP Service Impact Scale | 11.3 | |
| Client waiting time at facility | ||
| Less than 15 minutes | 124 (39.2) | |
| Between 15 and 30 minutes | 161 (50.9) | |
| Greater than 30 minutes | 31 (9.8) | |
| Protocols in place for client follow-up | ||
| No | 62 (19.6) | |
| Yes | 254 (80.4) | |
| Crowded waiting rooms | ||
| Disagree | 166 (52.5) | |
| Agree | 150 (47.5) | |
| Facility experienced stock-outs of HIV prevention/treatment options in last 12 months | ||
| No | 185 (58.5) | |
| Yes | 131 (41.5) | |
| Facility has system to prevent stockouts of supplies | ||
| Disagree | 77 (24.4) | |
| Agree | 239 (75.6) | |
Unadjusted and adjusted incident rate ratios (IRR) for provider willingness to prescribe PrEP for AGYW: Provider-level factors.
| Willingness to Prescribe n/N (%) | Unadjusted IRR (95% CI) | Adjusted IRR | |
|---|---|---|---|
| Age | - | 1.01 (1.00–1.01) | 1.01 (0.99–1.02) |
| Sex | |||
| Male | 59/91 (64.8) | 1.00 | 1.00 |
| Female | 134/225 (59.6) | 0.92 (0.78–1.09) | 0.88 (0.72–1.08) |
| Main profession | |||
| Nurse | 96/154 (62.3) | 1.00 | 1.00 |
| Doctor | 31/48 (64.6) | 1.04 (0.82–1.31) | 1.01 (0.81–1.28) |
| Clinical Officer | 26/39 (66.7) | 1.07 (0.85–1.34) | 0.89 (0.68–1.17) |
| Counselor | 24/41 (58.5) | 0.94 (0.67–1.31) | 1.01 (0.74–1.37) |
| Other (e.g., medical attendant) | 16/34 (47.1) | 0.75 (0.50–1.13) | 0.75 (0.52–1.08) |
| Years worked in profession | - | 1.01 (1.00–1.01) | 1.00 (0.99–1.02) |
| Prior PrEP knowledge | |||
| No | 185/305 (60.7) | 1.00 | 1.00 |
| Yes | 8/11 (72.7) | 1.20 (0.80–1.80) | 1.23 (0.86–1.78) |
| Number of HIV clients served weekly | |||
| 0–20 | 103/171 (60.2) | 1.00 | 1.00 |
| 20 or more | 90/145 (62.1) | 1.03 (0.88–1.21) | 0.98 (0.82–1.16) |
| Negative Attitudes towards Adolescent Sexuality | - | 0.68 (0.58–0.81) | 0.81 (0.66–0.99) |
| Behavioral Disinhibition Scale | - | 0.81 (0.72–0.92) | 0.89 (0.79–0.99) |
| Patient-Centered Scale | - | 1.32 (1.10–1.59) | 1.19 (0.98–1.45) |
| Provider Training Adequacy Scale | - | 1.18 (1.06–1.30) | 1.13 (1.02–1.24) |
| Has access to HIV guidelines | |||
| No | 63/111 (56.8) | 1.00 | 1.00 |
| Yes | 130/205 (63.4) | 1.12 (0.91–1.37) | 0.98 (0.79–1.21) |
+ <0.10
* <0.05
**<0.01
1 Adjusted for all facility-level measures: region, facility type, facility managing authority, services for adolescents, PrEP Service Impact Scale, client waiting time, protocols for client follow-up, crowded waiting rooms, stockouts of prevention and treatment options and system to prevent stockouts
Unadjusted and adjusted incident rate ratios (IRR) for provider willingness to prescribe PrEP for AGYW: Facility-level factors.
| Willingness to Prescribe n/N (%) | Unadjusted IRR (95% CI) | Adjusted IRR | |
|---|---|---|---|
| Dar Es Salaam | 115/198 (58.6) | 1.00 | 1.00 |
| Mbeya | 78/120 (65.0) | 1.11 (0.92–1.33) | 1.08 (0.91–1.30) |
| Hospital | 37/66 (56.1) | 1.00 | 1.00 |
| Health center | 39/66 (59.1) | 1.05 (0.82–1.35) | 1.12 (0.89–1.41) |
| Dispensary | 117/184 (63.6) | 1.13 (0.91–1.41) | 1.26 (1.05–1.52) |
| Private | 33/56 (58.9) | 1.00 | 1.00 |
| Public | 123/192 (64.1) | 1.09 (0.84–1.40) | 0.86 (0.68–1.10) |
| Faith-based organization | 24/42 (57.1) | 0.97 (0.71–1.33) | 0.77 (0.58–1.03) |
| Military | 5/11 (45.5) | 0.77 (0.60–0.99) | 0.86 (0.65–1.15) |
| Parastatal | 8/15 (53.3) | 0.91 (0.54–1.51) | 0.65 (0.38–1.12) |
| Facility has services focused on adolescents and young adults | |||
| No/don't know | 34/63 (54.0) | 1.00 | 1.00 |
| Yes | 159/253 (62.8) | 1.16 (0.90–1.51) | 1.02 (0.78–1.33) |
| PrEP Service Impact Scale | — | 0.79 (0.68–0.90) | 0.96 (0.82–1.12) |
| Client waiting time at facility | |||
| Less than 15 minutes | 69/124 (55.6) | 1.00 | 1.00 |
| Between 15–30 minutes | 101/161 (62.7) | 1.13 (0.91–1.39) | 1.09 (0.89–1.33) |
| Greater than 30 minutes | 23/31 (74.2) | 1.33 (1.01–1.75) | 1.35 (1.04–1.76) |
| Protocols in place for client follow-up | |||
| No | 35/62 (56.5) | 1.00 | 1.00 |
| Yes | 158/254 (62.2) | 1.10 (0.87–1.39) | 0.95 (0.76–1.19) |
| Crowded waiting rooms | |||
| Disagree | 93/166 (56) | 1.00 | 1.00 |
| Agree | 100/150 (66.7) | 1.19 (0.97–1.45) | 1.18 (0.95–1.46) |
| Facility had stockouts of HIV prevention and treatment options in last 12 months | |||
| No | 111/185 (60.0) | 1.00 | 1.00 |
| Yes | 82/131 (62.6) | 1.04 (0.85–1.28) | 0.99 (0.81–1.20) |
| Facility has system to prevent stockouts of supplies | |||
| Disagree | 46/77 (59.7) | 1.00 | 1.00 |
| Agree | 147/239 (61.5) | 1.03 (0.86–1.24) | 1.05 (0.84–1.31) |
+ <0.10
* <0.05
**<0.01
1Adjusted for all provider-level measures: age, gender, main profession, years worked in profession, prior PrEP knowledge, number of PLHIV served, Negative Attitudes Towards Adolescent Sexuality Scale, Behavioral Disinhibition Scale, Provider Training Adequacy Scale, Patient-Centered Care Scale, and had access to HIV guidelines