Effect of multiple interventions on community health workers' adherence to clinical guidelines in Siaya district, Kenya.

Evaluation of a community health worker (CHW) programme in Siaya district, Kenya, showed CHWs commonly made errors in managing childhood illness. We assessed the effect of multiple interventions on CHW healthcare practices. A sample of 192 ill-child consultations performed by 114 CHWs in a hospital outpatient department between February and March 2001 were analysed. The mean percentage of assessment, classification and treatment procedures performed correctly for each child was 79.8% (range 13.3-100%). Of the 187 children who required at least one treatment or referral to a health facility, only 38.8% were prescribed all treatments (including referral) recommended by the guidelines. Multivariate analyses found no evidence that the intervention-related factors studied (refresher training, supervision, involvement of community women in the CHW selection process, adequacy of medicine supplies, and use of a guideline flipchart during consultations) were significantly associated with overall or treatment-specific guideline adherence. A multivariate linear regression analysis revealed that several non-intervention-related factors, such as patient characteristics, were significantly associated with overall guideline adherence. Given that our study was cross-sectional and our measurement of exposure to several interventions was based on CHW recall, the estimated effects of the interventions should be interpreted with caution. Despite these limitations, however, our results raise questions about the effectiveness, in the setting of Siaya district, of several interventions commonly used to improve the quality of care given by CHWs.

Care takers' recall of Integrated Management of Childhood Illness counselling messages in Benin.

A key goal of the Integrated Management of Childhood Illness (IMCI) strategy is to improve the management of childhood illness at health facilities. IMCIguidelines contain many counselling messages, and as it is not known how well caretakers recall these messages, we studied caretakers' recall of IMCI messages when given under ideal conditions. At a clinic in Benin, a study clinician performed counselling and confirmed caretakers'comprehension of all messages. Caretakers were randomly assigned to be interviewed either immediately after the consultation or a day later. Recall was assessed with general and focused open-ended questions. Recall was assessed for 55 caretakers, 29.1% of whom were literate. Caretakers received 3-75 messages (mean = 38.7). The mean percentage of messages recalled was 89.7% immediately after the consultation and 81.9% one day later. These results support IMCI's recommendation that health workers should verify caretakers' comprehension by asking caretakers to repeat counselling messages during consultations.

Achieving NHAS 90/90/80 Objectives by 2020: An Interactive Tool Modeling Local HIV Prevalence Projections.

BACKGROUND: Tools using local HIV data to help jurisdictions estimate future demand for medical and support services are needed. We present an interactive prevalence projection model using data obtainable from jurisdictional HIV surveillance and publically available data. METHODS: Using viral load data from Georgia's enhanced HIV/AIDS Reporting System, state level death rates for people living with HIV and the general population, and published estimates for HIV transmission rates, we developed a model for projecting future HIV prevalence. Keeping death rates and HIV transmission rates for undiagnosed, in care/viral load >200, in care/viral load<200, and out of care (no viral load for 12 months) constant, we describe results from simulations with varying inputs projecting HIV incidence and prevalence from 2014 to 2024. RESULTS: In this model, maintaining Georgia's 2014 rates for diagnosis, transitions in care, viral suppression (VS), and mortality by sub-group through 2020, resulted in 85% diagnosed, 59% in care, and 44% VS among diagnosed (85%/58%/44%) with a total of 67 815 PLWH, 33 953 in care, and more than 1000 new cases per year by 2020. Neither doubling the diagnosis rate nor tripling rates of re-engaging out of care PLWH into care alone were adequate to reach 90/90/80 by 2020. We demonstrate a multicomponent scenario that achieved NHAS goals and resulted in 63 989 PLWH, 57 546 in care, and continued annual prevalence increase through 2024. CONCLUSIONS: Jurisdictions can use this HIV prevalence prediction tool, accessible at https://dph.georgia.gov/hiv-prevalence-projections to assess local capacity to meet future HIV care and social services needs. In this model, achieving 90/90/80 by 2020 in Georgia slowed but did not reverse increases in HIV prevalence, and the number of HIV-infected persons needing care and support services more than doubled. Improving the HIV care infrastructure is imperative.

Diabetes prevention. A GAMEPLAN for success.

Diabetes prevalence is growing at epidemic proportions, and the greatest increase in number of cases is anticipated to be among older adults. The Diabetes Prevention Program (DPP) showed that diabetes can be prevented or delayed among people with pre-diabetes (impaired glucose tolerance, impaired fasting glucose, or both). The National Diabetes Education Program has developed tools adapted from the DPP that primary care providers can use to counsel middle-age and older patients on diabetes prevention.