Background Access to effective mental health services in low- and- middle income countries (LMICs) is limited, leading to a substantial global treatment gap. Amitriptyline, an anti-depressant, and diazepam, an anxiolytic drug, are classified as essential medications by the World Health Organization (WHO). They are the only psychotropic medications whose availability in health facilities is documented as part of Service Provision Assessment surveys. Our objective was to characterize the availability of these medicines in seven countries. Methods We pooled nationally representative data from Service Provision Assessment surveys of health facilities conducted in Bangladesh, Democratic Republic of Congo (DRC), Haiti, Malawi, Nepal, Senegal, and Tanzania, from 2012 to 2018. We estimated the distribution and determinants of facility-level amitriptyline and diazepam availability in each country. Results We analysed data from 7958 health facilities. An estimated 8.2% of facilities had amitriptyline and 46.1% had diazepam on the day of assessment. There was significant heterogeneity in both amitriptyline and diazepam availability across countries and within countries across facility characteristics. Multivariable models indicated that hospitals, faith-based and private-for-profit facilities, facilities with more staff, and facilities with more technological resources were more likely to have each medicine, relative to primary care facilities, public sector facilities, facilities with fewer staff, and facilities with fewer technological resources, respectively. Conclusion Our results indicate limited availability of amitriptyline in health facilities in these seven LMICs. Diazepam is much more commonly available than amitriptyline. Efforts to narrow the global treatment gap for mental health – and especially to integrate mental health services into primary care in LMICs – will be limited without the availability of essential medicines like amitriptyline. Efforts to expand purchasing, distribution, and capacity-building in the appropriate use of essential mental health medicines in LMICs are warranted.

ObjectivesIn Malawi, a recent infection testing algorithm (RITA) is used to characterise infections of persons newly diagnosed with HIV as recent or long term. This paper shares results from recent HIV infection surveillance and describes distribution and predictors.SettingData from 155 health facilities in 11 districts in Malawi were pooled from September 2019 to March 2020.ParticipantsEligible participants were ≥13 years, and newly diagnosed with HIV. Clients had RITA recent infections if the rapid test for recent infection (RTRI) test result was recent and viral load (VL) ≥1000 copies/mL; if VL was <1000 copies/mL the RTRI result was reclassified as long-term. Results were stratified by age, sex, pregnancy/breastfeeding status and district.Results13 838 persons consented to RTRI testing and 12 703 had valid RTRI test results and VL results after excluding clients not newly HIV-positive, RTRI negative or missing data (n=1135). A total of 12 365 of the 12 703 were included in the analysis after excluding those whose RTRI results were reclassified as long term (n=338/784 or 43.1%). The remainder, 446/12 703 or 3.5%, met the definition of RITA recent infection. The highest percentage of recent infections was among breastfeeding women (crude OR (COR) 3.2; 95% CI 2.0 to 5.0), young people aged 15–24 years (COR 1.6; 95% CI 1.3 to 1.9) and persons who reported a negative HIV test within the past 12 months (COR 3.3; 95% CI 2.6 to 4.2). Factors associated with recent infection in multivariable analysis included being a non-pregnant female (adjusted OR (AOR) 1.4; 95% CI 1.2 to 1.8), a breastfeeding female (AOR 2.2; 95% CI 1.4 to 3.5), aged 15–24 years (AOR 1.6; 95% CI 1.3 to 1.9) and residents of Machinga (AOR 2.0; 95% CI 1.2 to 3.5) and Mzimba (AOR 2.4; 95% CI 1.3 to 4.5) districts.ConclusionsMalawi’s recent HIV infection surveillance system demonstrated high uptake and identified sub-populations of new HIV diagnoses with a higher percentage of recent infections.