Feasibility of nurse-led antidepressant medication management of depression in an HIV clinic in Tanzania.

OBJECTIVE: Sub-Saharan Africa has the highest HIV prevalence worldwide and depression is highly prevalent among those infected. The negative impact of depression on HIV outcomes highlights the need to identify and treat it in this population. A model for doing this in lower-resourced settings involves task-shifting depression treatment to primary care; however, HIV-infected individuals are often treated in a parallel HIV specialty setting. We adapted a model of task-shifting, measurement-based care (MBC), for an HIV clinic setting and tested its feasibility in Tanzania. MBC involves measuring depressive symptoms at meaningful intervals and adjusting antidepressant medication treatment based on the measure of illness. METHOD: Twenty adults presenting for care at an outpatient HIV clinic in Tanzania were enrolled and followed by a nurse care manager who measured depressive symptoms at baseline and every 4 weeks for 12 weeks. An algorithm-based decision-support tool was utilized by the care manager to recommend individualized antidepressant medication doses to participants' HIV providers at each visit. RESULTS: Retention was high and fidelity of the care manager to the MBC protocol was exceptional. Follow through of antidepressant prescription dosing recommendations by the prescriber was low. Limited availability of antidepressants was also noted. Despite challenges, baseline depression scores decreased over the 12-week period. CONCLUSIONS: Overall, the model of algorithm-based nursing support of prescription decisions was feasible. Future studies should address implementation issues of medication supply and dosing. Further task-shifting to relatively more abundant and lower-skilled health workers, such as nurses' aides, warrants examination.

Active trachoma is associated with increased conjunctival expression of IL17A and profibrotic cytokines.

The immunological basis of scarring trachoma is not well understood. It is unclear whether it is driven primarily through cell-mediated adaptive or epithelial-cell-derived innate responses. The purpose of this study was to investigate the expression of the inflammatory and fibrogenic mediators which may be involved. We conducted a cross-sectional survey of children living in an untreated trachoma-endemic community in Tanzania. The children were examined for signs of trachoma, and swabs were collected for bacteriological culture and RNA and DNA isolation. Chlamydia trachomatis was detected by the Amplicor PCR test. The expression of the following genes was measured by quantitative reverse transcription-PCR (RT-PCR): S100A7, IL1B, IL17A, IL23A, CXCL5, CCL18, TLR2, NLRP3, KLRD1, CTGF, and MMP9. Four hundred seventy children under the age of 10 years were included. Follicular trachoma (TF) was detected in 65 children (14%), C. trachomatis was detected in 25 (5%), and bacterial pathogens were cultured in 161 (34%). TF was associated with significantly increased expression of S100A7, IL17A, CCL18, CXCL5, and CTGF. Expression was increased further in the presence of papillary inflammation. Nonchlamydial bacterial infection was associated with increased expression of IL17A, CXCL5, CCL18, and KLRD1. IL17A expression was associated with increased expression of S100A7, CXCL5, CCL18, KLRD1, and CTGF. These data are consistent with a role for IL-17A in orchestrating the proinflammatory response in trachoma. Its activity may be promoted either as part of the cell-mediated response or through innate pathways. It may drive a range of proinflammatory factors leading to excessive tissue damage and repair involving fibrosis.