| Literature DB >> 23698510 |
Peter M Mugo1, Sarah Duncan, Samuel W Mwaniki, Alexander N Thiong'o, Evanson Gichuru, Haile Selassie Okuku, Elise M van der Elst, Adrian D Smith, Susan M Graham, Eduard J Sanders.
Abstract
BACKGROUND: While bacterial sexually transmitted infections (STIs) are important cofactors for HIV transmission, STI control has received little attention in recent years. The aim of this study was to assess STI treatment and HIV testing referral practices among health providers in Kenya.Entities:
Keywords: CLINICAL STI CARE; HIV; PREVENTION; SYNDROMIC MANAGEMENT; URETHRITIS
Mesh:
Year: 2013 PMID: 23698510 PMCID: PMC3812900 DOI: 10.1136/sextrans-2012-050979
Source DB: PubMed Journal: Sex Transm Infect ISSN: 1368-4973 Impact factor: 3.519
Figure 1Pharmacies and health facilities in Mtwapa and Shanzu, coastal Kenya, 2011.
Figure 2Summarised script for a male urethritis case presented by simulated clients at pharmacies in Mtwapa and Shanzu, Kenya, 2011.
Characteristics of pharmacies and health facilities in Mtwapa and Shanzu, coastal Kenya, 2011
| Characteristic | Pharmacies (N=20) | Health facilities | p Value* | |
|---|---|---|---|---|
| Private (N=20) | Government (N=4) | |||
| N (%) or median (IQR†) | N (%) or median (IQR†) | |||
| Total number of staff (including interviewees)‡ | 2 (1–3) | 4 (3–6) | 22 (16–30) | 0.03 |
| Opening hours | ||||
| Open 6 days per week (various hours) | 20 (100%) | 19 (95%) | 2 (50%) | 0.01 |
| Open 7 days per week (various hours) | 10 (50%) | 17 (85%) | 2 (50%) | |
| Open 7 days per week, 24 h daily | 0 | 13 (65%) | 1 (25%) | |
| Mean opening hours per day | 13 (12–14) | 24 (13–24) | 9 (8–17) | 0.04 |
| Patient load | ||||
| Total number of clients per day (all ages) | 60 (30–100) | 10 (10–15) | 183 (90–350) | 0.03 |
| Male urethritis cases per week | 5 (2–10) | 3 (1–3) | 5 (2–17) | 0.03 |
| Reference materials present | ||||
| Formularies (Drug Index, BNF, MIMS Africa) | 17 (85%) | 12 (60%) | 1 (25%) | |
| Medical references | 6 (30%) | 6 (30%) | 1 (25%) | |
| STI guideline or flow chart | 1 (5%) | 7 (35%) | 2 (50%) | |
| Internet access (computer or mobile phone) | 15 (75%) | 14 (75%) | 3 (75%) | |
| Services relevant to STI/HIV management | ||||
| HIV testing | 0 | 19 (95%) | 4 (100%) | |
| HIV care services§ | 0 | 1 (5%) | 4 (100%) | <0.001 |
*p Values listed where there is significant difference (p<0.05) between private and government health facilities.
†All figures rounded to zero decimal places.
‡This includes both staff with healthcare training (medical, nursing, laboratory, pharmacy) and those with other qualifications.
§HIV care services include post-exposure prophylaxis, prevention of mother-to-child transmission and antiretroviral therapy.
BNF, British National Formulary; IQR, interquartile range; MIMS, Monthly Index of Medical Specialties; STI, sexually transmitted infections.
Characteristics of health workers interviewed during a study of treatment practices for urethritis in Mtwapa and Shanzu, coastal Kenya, 2011
| Characteristic | Pharmacies (N=20) | Health facilities | |
|---|---|---|---|
| Private (N=20) | Government (N=4) | ||
| N (%) or median (IQR*) | N (%) or median (IQR*) | ||
| Gender | |||
| Men | 10 (50%) | 19 (95%) | 1 (25%) |
| Women | 10 (50%) | 1 (5%) | 3 (75%) |
| Age (years) | 28 (25–31) | 35 (31–43) | 30 (30–43) |
| Highest level of health training attained† | |||
| Certificate | 5 (26%) | 4 (20%) | 1 (25%) |
| Diploma and higher diploma | 13 (68%) | 13 (65%) | 3 (75%) |
| Bachelor's degree | 1 (5%) | 2 (10%) | 0 |
| Master's degree | 0 | 1 (5%) | 0 |
| Work experience (years) | 4 (2–7) | 8 (6–18) | 5 (3–17) |
| Membership in a professional association | 3 (15%) | 14 (70%) | 3 (75%) |
| Ever attended an in-service course on STI/HIV management | 2 (10%) | 11 (55%) | 2 (50%) |
| Duration of in-service course (days) | 5 (3–7) | 5 (2–7) | 4 (2–5) |
| Duration since the last course (years) | 6 (2–10) | 5 (3–9) | 8 (3–12) |
*All figures rounded to zero decimal places.
†Nineteen (95%) of 20 pharmacy interviewees had pharmacy certification (one had not completed training; n=19). Health facility interviewees had training in either medicine (62%) or nursing (38%).
IQR, interquartile range.
Quality of male urethritis case management at pharmacies and health facilities in Mtwapa and Shanzu, Kenya, 2011
| Quality elements assessed | Simulated visits | Interviews | ||
|---|---|---|---|---|
| Pharmacies | Pharmacies | Private health facilities (N=20) | Government health facilities (N=4) | |
| N (%) or mean (SD) | N (%) or mean (SD) | |||
| History of present illness (HPI) | ||||
| Nature and duration of symptoms | 20 (100%) | 18 (90%) | 16 (80%) | 4 (100%) |
| Recent sexual exposure | 15 (75%) | 9 (45%) | 17 (85%) | 1 (25%)* |
| Previous care-seeking for current illness | 1 (5%) | 6 (30%) | 10 (50%) | 3 (75%) |
| Summary HPI score (maximum 3) | 2 (0.5) | 1.65 (0.6) | 2.2 (0.8) | 2.0 (0.8) |
| Medication regimens compliance†‡§ | ||||
| Compliant regimen for gonorrhoea (right dosage and duration) | 9 (45%) | 10 (56%) | 7 (39%) | 1 (25%) |
| Compliant regimen for | 2 (10%) | 5 (28%) | 5 (28%) | 2 (50%) |
| Compliant regimens for both gonorrhoea and | 2 (10%) | 5 (28%) | 5 (28%) | 1 (25%) |
| Potential treatment efficacy for both gonorrhoea and | 0 | 0 | 2 (11%) | 0 |
| Provision of counselling messages | ||||
| Get an HIV test | 2 (10%) | 4 (20%) | 3 (15%) | 3 (75%)* |
| Use condoms consistently | 12 (60%) | 9 (45%) | 13 (65%) | 3 (75%) |
| Get partner treated | 13 (65%) | 17 (85%) | 16 (80%) | 4 (100%) |
| Adhere to the full course of treatment | 19 (95%) | 5 (25%) | 10 (50%) | 1 (25%) |
| Summary counselling score (maximum 4) | 2.3 (1.3) | 1.8 (0.9) | 2.1 (0.9) | 2.8 (1.0) |
*Significant difference (p<0.05) between private and government health facilities.
†For interviews, two pharmacies that said they would only refer were excluded (n=18). Similarly, two health facilities that said they would wait for laboratory results were excluded (n=22).
‡During simulated visits the median (range) number of medicines dispensed was 2 (2–6), of which 2 (1–5) were antibiotics. During interviews the median (range) number of medicines that would be dispensed by pharmacies was 3 (2–5), of which 2 (2–3) would be antibiotics. The median (range) number of medicines that would be prescribed by health facilities was 3 (1–4), of which 2 (1–4) would be antibiotics.
§Other antimicrobials suggested were: fluconazole, tinidazole, secnidazole, metronidazole, gentamicin and ofloxacin.
SD, standard deviation