RESUMEN
OBJECTIVES: To describe the prevalence and correlates of depression and anxiety among adult Ebola virus disease (EVD) survivors in Liberia, Sierra Leone and Guinea. DESIGN: Cross-sectional. SETTING: One-on-one surveys were conducted in EVD-affected communities in Liberia, Sierra Leone and Guinea in early 2018. PARTICIPANTS: 1495 adult EVD survivors (726 male, 769 female). PRIMARY AND SECONDARY OUTCOME MEASURES: Patient Health Questionnaire-9 (PHQ-9) depression scores and Generalised Anxiety Disorder-7 (GAD-7) scores. RESULTS: Prevalence and severity of depression and anxiety varied across the three countries. Sierra Leone had the highest prevalence of depression, with 22.0% of participants meeting the criteria for a tentative diagnosis of depression, compared with 20.2% in Liberia and 13.0% in Guinea. Sierra Leone also showed the highest prevalence of anxiety, with 10.7% of participants meeting criteria for generalized anxiety disorder (GAD-7 score ≥10), compared with 9.9% in Liberia and 4.2% in Guinea. Between one-third and one-half of respondents reported little interest or pleasure in doing things in the previous 2 weeks (range: 47.0% in Liberia to 37.6% in Sierra Leone), and more than 1 in 10 respondents reported ideation of self-harm or suicide (range: 19.4% in Sierra Leone to 10.4% in Guinea). Higher depression and anxiety scores were statistically significantly associated with each other and with experiences of health facility-based stigma in all three countries. Other associations between mental health scores and respondent characteristics varied across countries. CONCLUSIONS: Our results indicate that both depression and anxiety are common among EVD survivors in Liberia, Sierra Leone and Guinea, but that there is country-level heterogeneity in prevalence, severity and correlates of these conditions. All three countries should work to make mental health services available for survivors, and governments and organisations should consider the intersection between EVD-related stigma and mental health when designing programmes and training healthcare providers.
Asunto(s)
Fiebre Hemorrágica Ebola , Adulto , Estudios Transversales , Femenino , Guinea/epidemiología , Fiebre Hemorrágica Ebola/epidemiología , Humanos , Liberia/epidemiología , Masculino , Salud Mental , Sierra Leona/epidemiología , SobrevivientesRESUMEN
BACKGROUND: Contraceptive prevalence rate (CPR) is a vital indicator used by country governments, international donors, and other stakeholders for measuring progress in family planning programs against country targets and global initiatives as well as for estimating health outcomes. Because of the need for more frequent CPR estimates than population-based surveys currently provide, alternative approaches for estimating CPRs are being explored, including using contraceptive logistics data. METHODS: Using data from the Demographic and Health Surveys (DHS) in 30 countries, population data from the United States Census Bureau International Database, and logistics data from the Procurement Planning and Monitoring Report (PPMR) and the Pipeline Monitoring and Procurement Planning System (PipeLine), we developed and evaluated 3 models to generate country-level, public-sector contraceptive prevalence estimates for injectable contraceptives, oral contraceptives, and male condoms. Models included: direct estimation through existing couple-years of protection (CYP) conversion factors, bivariate linear regression, and multivariate linear regression. Model evaluation consisted of comparing the referent DHS prevalence rates for each short-acting method with the model-generated prevalence rate using multiple metrics, including mean absolute error and proportion of countries where the modeled prevalence rate for each method was within 1, 2, or 5 percentage points of the DHS referent value. RESULTS: For the methods studied, family planning use estimates from public-sector logistics data were correlated with those from the DHS, validating the quality and accuracy of current public-sector logistics data. Logistics data for oral and injectable contraceptives were significantly associated (P<.05) with the referent DHS values for both bivariate and multivariate models. For condoms, however, that association was only significant for the bivariate model. With the exception of the CYP-based model for condoms, models were able to estimate public-sector prevalence rates for each short-acting method to within 2 percentage points in at least 85% of countries. CONCLUSIONS: Public-sector contraceptive logistics data are strongly correlated with public-sector prevalence rates for short-acting methods, demonstrating the quality of current logistics data and their ability to provide relatively accurate prevalence estimates. The models provide a starting point for generating interim estimates of contraceptive use when timely survey data are unavailable. All models except the condoms CYP model performed well; the regression models were most accurate but the CYP model offers the simplest calculation method. Future work extending the research to other modern methods, relating subnational logistics data with prevalence rates, and tracking that relationship over time is needed.