Last data update: Jun 03, 2024. (Total: 46935 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: Whitehurst V [original query] |
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The U.S. President's Malaria Initiative's support for improving the quality of malaria case management services: Fifteen years of progress and learning
Barat LM , Whitehurst N , Venkatesan M , Connolly K , Yamo E , Psychas P , Bernard YM . Am J Trop Med Hyg 2023 Since its launch in 2005, the U.S. President's Malaria Initiative's (PMI) investment in malaria case management has evolved based on lessons learned from its support to countries. An initial focus on updating malaria treatment policies to adopt artemisinin-based combination therapies achieved limited success, in part because of the poor quality of diagnostic and treatment services in targeted countries. In response, the PMI supported the development, refinement, and expansion of Outreach Training and Supportive Supervision (OTSS), a quality improvement approach that combines structured, competency-based supervision with corrective measures, including on-the-job training, coaching, troubleshooting, action planning, and timely follow-up. With 15 years of experience, the OTSS approach has been adopted by more than a dozen countries, and its effectiveness in improving the quality of malaria case management services has been documented. Through the PMI Impact Malaria Project, launched in 2018, the OTSS approach was expanded beyond case management of uncomplicated malaria to support quality improvement of inpatient management of severe malaria and malaria in pregnancy services delivered through antenatal care clinics. The OTSS platform also enabled targeted countries to respond rapidly to the COVID-19 pandemic by adding modules related to clinical management and laboratory diagnosis of suspected cases. The OTSS approach has been established as an effective approach to improve the quality of clinical malaria services and can be expanded to cover other health priorities. Further innovations to improve the quality of inpatient and community-based services, and further integration and institutionalization of OTSS into country health systems are needed. |
Predicting temporal trends in total absenteeism rates for civil service employees of a federal public health agency
Spears DR , McNeil C , Warnock E , Trapp J , Oyinloye O , Whitehurst V , Decker KC , Chapman S , Campbell M , Meechan P . J Occup Environ Med 2014 56 (6) 632-8 OBJECTIVE: This study evaluates the predictability in temporal absences trends due to all causes (total absenteeism) among employees at a federal agency. The objective is to determine how leave trends vary within the year, and determine whether trends are predictable. METHODS: Ten years of absenteeism data from an attendance system were analyzed for rates of total absence. RESULTS: Trends over a 10-year period followed predictable and regular patterns during a given year that correspond to major holiday periods. Temporal trends in leave among small, medium, and large facilities compared favorably with the agency as a whole. CONCLUSIONS: Temporal trends in total absenteeism rates for an organization can be determined using its attendance system. The ability to predict employee absenteeism rates can be extremely helpful for management in optimizing business performance and ensuring that an organization meets its mission. |
Predicting temporal trends in sickness absence rates for civil service employees of a federal public health agency
Spears DR , McNeil C , Warnock E , Trapp J , Oyinloye O , Whitehurst V , Decker KC , Chapman S , Campbell M , Meechan P . J Occup Environ Med 2012 55 (2) 179-90 OBJECTIVE: To determine whether trends of sickness in employees at a federal agency are predictable, and whether the variance was minimal enough to detect unusual levels of employee illness for further investigation. METHODS: Ten years of absenteeism data from an attendance system were analyzed for rates of sickness absence. Specifically, week of year and day of week were used to describe temporal trends. RESULTS: This study evaluates the predictability in temporal absence trends due to sickness among employees at a federal agency. Trends follow regular patterns during a given year that correspond to seasonal illnesses. Temporal trends in sick leave have been proven to be very predictable. CONCLUSION: The minimal variance allows the detection of sick leave anomalies that may be ascribable to specific causes, allowing the business or agency to follow-up and develop interventions. |
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