Health system capacity for tuberculosis care in Ethiopia: evidence from national representative survey.

OBJECTIVE: The objective of this study was to evaluate the tuberculosis (TB) health system capacity and its variations by location and types of health facilities in Ethiopia. DESIGN: We used the Service Provision Assessment plus (SPA+) survey data that were collected in 2014 in all hospitals and randomly selected health centers and private facilities in all regions of Ethiopia. We assessed structural, process and overall health system capacity based on the Donabedian quality of care model. Multiple linear regression and spatial analysis were done to assess TB capacity score variation across regions. SETTING: The study included 873 public and private health facilities all over Ethiopia. PARTICIPANTS: None. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): None. RESULTS: A total of 873 health facilities were included in the analysis. The overall TB care capacity score was 76.7%, 55.9% and 37.8% in public hospitals, health centers and private facilities, respectively. The health system capacity score for TB was higher in the urban (60.4%) facilities compared to that of the rural (50.0%) facilities (ß = 8.0, 95% CI: 4.4, 11.6). Health centers (ß = -16.2, 95% CI: -20.0, -12.3) and private health facilities (ß = -38.3, 95% CI: -42.4, -35.1) had lower TB care capacity score than hospitals. Overall TB care capacity score were lower in Western and Southwestern Ethiopia and in Benishangul-Gumuz and Gambella regions. CONCLUSIONS: The health system capacity score for TB care in Ethiopia varied across regions. Health system capacity improvement interventions should focus on the private sectors and health facilities in the rural and remote areas to ensure equity and improve quality of care.

Capacity of health facilities for diagnosis and treatment of HIV/AIDS in Ethiopia.

BACKGROUND: There are dearth of literature on the capacity of the health system to diagnose and treat HIV/AIDS in Ethiopia. In this study we evaluated the capacity of health facilities for HIV/AIDS care, its spatial distribution and variations by regions and zones in Ethiopia. METHODS: We analyzed the Service Provision Assessment plus (SPA+) survey data that were collected in 2014 in all regions of Ethiopia. We assessed structural, process and overall capacity of the health system based on the Donabedian quality of care model. We included 5 structural and 8 process indicators and overall capacity score was constructed by taking the average of all indicators. Multiple linear regression was done using STATA 14 to assess the association of the location and types of health facilities with overall capacity score. Maps displaying the average capacity score at Zonal level were produced using ArcGIS Desktop v10.3 (Environmental Systems Research Institute Inc., Redlands CA, USA). RESULTS: A total of 873 health facilities were included in the analysis. Less than 5% of the private facilities provided antiretroviral therapy (ART); had national ART guideline, baseline CD4 count or viral load and tuberculosis screening mechanisms. Nearly one-third of the health centers (34.9%) provided ART. Public hospitals have better capacity score (77.1%) than health centers (45.9%) and private health facilities (24.8%). The overall capacity score for urban facilities (57.1%) was higher than that of the rural (38.2%) health facilities (ß = 15.4, 95% CI: 11.7, 19.2). Health centers (ß = - 21.4, 95% CI: -25.4, - 17.4) and private health facilities (ß = - 50.9, 95% CI: -54.8, - 47.1) had lower overall capacity score than hospitals. Facilities in Somali (ß = - 13.8, 95% CI: -20.6, - 7.0) and SNNPR (ß = - 5.0, 95% CI: -9.8, - 0.1) regions had lower overall capacity score than facilities in the Oromia region. Zones located in emerging regions such as Gambella and Benishangul Gumz and in remote areas of Oromia and SNNPR had lower capacity score in terms of process indicators. CONCLUSIONS: There is a significant geographical heterogeneity on the capacity of health facilities for HIV/AIDS care and treatment in Ethiopia. Targeted capacity improvement initiatives are recommended with focus on health centers and private health facilities, and emerging Regions and the rural and remote areas.

Collaboratively reframing mental health for integration of HIV care in Ethiopia.

BACKGROUND: Integrating mental health with general medical care can increase access to mental health services, but requires helping generalists acquire a range of unfamiliar knowledge and master potentially complex diagnostic and treatment processes. METHOD: We describe a model for integrating complex specialty care with generalist/primary care, using as an illustration the integration of mental health into hospital-based HIV treatment services in Ethiopia. Generalists and specialists collaboratively developed mental health treatments to fit the knowledge, skills and resources of the generalists. The model recognizes commonalities between mental health and general medical care, focusing on practical interventions acceptable to patients. It was developed through a process of literature review, interviews, observing clinical practice, pilot trainings and expert consultation. Preliminary evaluation results were obtained by debriefing generalist trainees after their return to their clinical sites. RESULTS: In planning interviews, generalists reported discomfort making mental health diagnoses but recognition of symptom groups including low mood, anxiety, thought problems, poor child behaviour, seizures and substance use. Diagnostic and treatment algorithms were developed for these groups and tailored to the setting by including possible medical causes and burdens of living with HIV. First-line treatment included modalities familiar to generalists: empathetic patient-provider interactions, psychoeducation, cognitive reframing, referral to community supports and elements of symptom-specific evidence-informed counselling. Training introduced basic skills, with evolving expertise supported by job aides and ongoing support from mental health nurses cross-trained in HIV testing. Feedback from trainees suggested the programme fit well with generalists' settings and clinical goals. CONCLUSIONS: An integration model based on collaboratively developing processes that fit the generalist setting shows promise as a method for incorporating complex, multi-faceted interventions into general medical settings. Formal evaluations will be needed to compare the quality of care provided with more traditional approaches and to determine the resources required to sustain quality over time.