Abstract
Objectives: To evaluate the quality and usefulness of integrated sexually transmitted infection (STI) care at non-governmental family planning (FP) clinics in Côte d'Ivoire.
Methods: Evaluation components included: (1) a survey measuring the prevalence of STI and the predictive value of the Ivorian vaginal discharge treatment algorithm, (2) client exit interviews, (3) direct observations of client–provider contacts, (4) the monitoring of the clinics’ workload and available equipment and supplies and (5) interviews of programme managers and FP providers.
Results: Among 368 FP clients surveyed, the prevalence of Neisseria gonorrhoeae, Chlamydia trachomatis, Trichomonas vaginalis, B. vaginosis and Candida albicans were respectively 1.6, 5.7, 7.1, 44.8 and 5.2%. The positive predictive value of the national algorithm for the detection of cervicitis was only 6.3%, and was 17.9% among a subgroup of young, single women. Of 200 clients interviewed, 96% were satisfied with the services and 95% would return to the FP clinic if they had genital problems. In 215 observed client–provider contacts, 88% of 94 STI cases were correctly managed. Programme managers and providers reported no substantial work overload as a result of the integration of STI services.
Conclusions: The prevalence of cervical infections is relatively low in this population and the Ivorian algorithm that treats all women with vaginal discharge performs poorly. Over-treatment of cervicitis can be reduced by modifying the algorithm, although improved diagnostic tools are urgently needed to detect cervicitis in this population. Continued STI case management at the FP clinics is nevertheless justified because there exists an easily identifiable group of higher risk women who need STI care; and because of the demand by a large proportion of clients, the high prevalence of vaginal pathogens, and the limited costs to the FP programme.
Methods: Evaluation components included: (1) a survey measuring the prevalence of STI and the predictive value of the Ivorian vaginal discharge treatment algorithm, (2) client exit interviews, (3) direct observations of client–provider contacts, (4) the monitoring of the clinics’ workload and available equipment and supplies and (5) interviews of programme managers and FP providers.
Results: Among 368 FP clients surveyed, the prevalence of Neisseria gonorrhoeae, Chlamydia trachomatis, Trichomonas vaginalis, B. vaginosis and Candida albicans were respectively 1.6, 5.7, 7.1, 44.8 and 5.2%. The positive predictive value of the national algorithm for the detection of cervicitis was only 6.3%, and was 17.9% among a subgroup of young, single women. Of 200 clients interviewed, 96% were satisfied with the services and 95% would return to the FP clinic if they had genital problems. In 215 observed client–provider contacts, 88% of 94 STI cases were correctly managed. Programme managers and providers reported no substantial work overload as a result of the integration of STI services.
Conclusions: The prevalence of cervical infections is relatively low in this population and the Ivorian algorithm that treats all women with vaginal discharge performs poorly. Over-treatment of cervicitis can be reduced by modifying the algorithm, although improved diagnostic tools are urgently needed to detect cervicitis in this population. Continued STI case management at the FP clinics is nevertheless justified because there exists an easily identifiable group of higher risk women who need STI care; and because of the demand by a large proportion of clients, the high prevalence of vaginal pathogens, and the limited costs to the FP programme.
| Original language | English |
|---|---|
| Journal | Tropical Medicine and International Health |
| Volume | 8 |
| Issue number | 6 |
| Pages (from-to) | 552-560 |
| Number of pages | 9 |
| ISSN | 1360-2276 |
| DOIs | |
| Publication status | Published - 2003 |
Keywords
- B780-tropical-medicine
- Family planning services
- HIV
- AIDS
- Viral diseases
- Prevention
- Sexually transmitted diseases
- STD
- Case management
- Integration
- Clinical diagnosis
- Algorithms
- Laboratory diagnosis
- Côte d'Ivoire
- Africa-West