Bmc Health Serv Res
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Bmc Health Serv Res · Apr 2019
Multicenter StudyStrengthening referral systems in community health programs: a qualitative study in two rural districts of Maputo Province, Mozambique.
Effective referral systems from the community to the health care facility are essential to save lives and ensure quality and a continuum of care. The effectiveness of referral systems in Mozambique depends on multiple factors that involve three main stakeholders: clients/community members; community health workers (CHWs); and facility-based health care workers. Each stakeholder is dependent on the other and could form either a barrier or a facilitator of referral within the complex health system of Mozambique. ⋯ The barriers and enablers of referral systems shape both healthcare system functionality and community perceptions of care. Addressing common barriers to and strengthening the efficiency of referral systems have the potential to improve health at community level. Improved communication and feedback between involved stakeholders - especially strengthening the intermediate role of CHWs - and active community engagement will be key to stimulate better use of referral services and healthcare facilities.
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Bmc Health Serv Res · Apr 2019
Multicenter StudyAn administrative model for benchmarking hospitals on their 30-day sepsis mortality.
Given the increased attention to sepsis at the population level there is a need to assess hospital performance in the care of sepsis patients using widely-available administrative data. The goal of this study was to develop an administrative risk-adjustment model suitable for profiling hospitals on their 30-day mortality rates for patients with sepsis. ⋯ A novel claims-based risk-adjustment model demonstrated wide variation in risk-standardized 30-day sepsis mortality rates across hospitals. Individual hospitals' performance rankings were stable across years and after the addition of laboratory data. This model provides a robust way to rank hospitals on sepsis mortality while adjusting for patient risk.