Comparison of Medicine Availability Measurements at Health Facilities: Evidence from Service Provision Assessment Surveys in Five Sub-Saharan African Countries.

With growing emphasis on health systems strengthening in global health, various health facility assessment methods have been used increasingly to measure medicine and commodity availability. However, few studies have systematically compared estimates of availability based on different definitions. The objective of this study was to compare estimates of medicine availability based on different definitions. A secondary data analysis was conducted using data from the Service Provision Assessment (SPA) - a nationally representative sample survey of health facilities - conducted in five countries: Kenya SPA 2010, Namibia SPA 2009, Rwanda SPA 2007, Tanzania SPA 2006, and Uganda SPA 2007. For 32 medicines, percent of facilities having the medicine were estimated using five definitions: four for current availability and one for six-month period availability. 'Observed availability of at least one valid unit' was used as a reference definition, and ratios between the reference and each of the other four estimates were calculated. Summary statistics of the ratios among the 32 medicines were calculated by country. The ratios were compared further between public and non-public facilities within each country. Across five countries, compared to current observed availability of at least one valid unit, 'reported availability without observation' was on average 6% higher (ranging from 3% in Rwanda to 8% in Namibia), 'observed availability where all units were valid' was 11% lower (ranging from 2% in Tanzania to 19% in Uganda), and 'six-month period availability' was 14% lower (ranging from 5% in Namibia to 25% in Uganda). Medicine availability estimates vary substantially across definitions, and need to be interpreted with careful consideration of the methods used

Complete phenomenological gravitational waveforms from spinning coalescing binaries

The quest for gravitational waves from coalescing binaries is customarily performed by the LIGO-Virgo collaboration via matched filtering, which requires a detailed knowledge of the signal. Complete analytical coalescence waveforms are currently available only for the non-precessing binary systems. In this paper we introduce complete phenomenological waveforms for the dominant quadrupolar mode of generically spinning systems. These waveforms are constructed by bridging the gap between the analytically known inspiral phase, described by spin Taylor (T4) approximants in the restricted waveform approximation, and the ring-down phase through a phenomenological intermediate phase, calibrated by comparison with specific, numerically generated waveforms, describing equal mass systems with dimension-less spin magnitudes equal to 0.6. The overlap integral between numerical and phenomenological waveforms ranges between 0.95 and 0.99.Comment: Proceeding for the GWDAW-14 conference. Added reference in v

EUD-MARS: End-User Development of Model-Driven Adaptive Robotics Software Systems

Empowering end-users to program robots is becoming more significant. Introducing software engineering principles into end-user programming could improve the quality of the developed software applications. For example, model-driven development improves technology independence and adaptive systems act upon changes in their context of use. However, end-users need to apply such principles in a non-daunting manner and without incurring a steep learning curve. This paper presents EUD-MARS that aims to provide end-users with a simple approach for developing model-driven adaptive robotics software. End-users include people like hobbyists and students who are not professional programmers but are interested in programming robots. EUD-MARS supports robots like hobby drones and educational humanoids that are available for end-users. It offers a tool for software developers and another one for end-users. We evaluated EUD-MARS from three perspectives. First, we used EUD-MARS to program different types of robots and assessed its visual programming language against existing design principles. Second, we asked software developers to use EUD-MARS to configure robots and obtained their feedback on strengths and points for improvement. Third, we observed how end-users explain and develop EUD-MARS programs, and obtained their feedback mainly on understandability, ease of programming, and desirability. These evaluations yielded positive indications of EUD-MARS

Optimizing bulk data transfers using network measurements: a practical case

SUMMARY The quality of the connectivity provided by the network infrastructure of a Grid is a crucial factor to guarantee the accessibility of Grid services, schedulate efficiently processing and data transfer activity on the Grid and meet QoS expectations. Yet most Grid application do not take into consideration the expected performance of the network resources they plan to use. In this paper we describe the effective use of a Grid Monitoring framework, whose measurements are used to introduce network aware features in a legacy application. We use GlueDomains, a network monitoring framework oriented to Grid infrastructures that measures a small (although possibly extensible) set of network parameters. Such framework works off the shelf with minimal administrative effort, is reliable, and has a negligible impact on system operation. The deployment covers a Metropolitan Grid infrastructure, aimed at supporting a data intensive eScience application. We describe a real use case consisting of bulk data trasfers during the operation of the Grid for the Virgo experiment

Migration of South African health workers: the extent to which financial considerations influence internal flows and external movements

Background: The loss of human resource capacity has had a severe impact on the health system in South Africa. This study investigates the causes of migration focussing on the role of salaries and benefits. Health professionals from public, private and non-governmental (NGO) health facilities located in selected peri-urban and urban areas in KwaZulu-Natal, South Africa were surveyed about their current positions and attitudes toward migration. Methods: The study uses cross-sectional data collected in 2009. A total of 694 health professionals (430 in the public sector, 133 in the NGO sector and 131 in the private sector) were surveyed. An additional 11 health professionals were purposively selected for in-depth interviews. Odds ratios with 95% confidence intervals were calculated to determine whether salaries influenced HWs decisions to migrate. Results: HWs decision to move was not positively associated with lower salaries. It was found, instead, that the consideration to move was determined by other factors including age, levels of stress experienced and the extent to which they were satisfied at their current place of work. Conclusions: The OSD appears to have lowered the risk of HWs migrating due to low salaries. However, the results also indicate that the South African Department of Health needs to improve working conditions for HWs within the public health sector to assist in retention

Understanding the factors influencing health-worker employment decisions in South Africa

Background: The provision of health care in South Africa has been compromised by the loss of trained health workers (HWs) over the past 20 years. The public-sector workforce is overburdened. There is a large disparity in service levels and workloads between the private and public sectors. There is little knowledge about the nonfinancial factors that influence HWs choice of employer (public, private or nongovernmental organization) or their choice of work location(urban, rural or overseas). This area is under-researched and this paper aims to fill these gaps in the literature. Method: The study utilized cross-sectional survey data gathered in 2009 in KwaZulu-Natal province. The HWs sample came from three public hospitals (n=430), two private hospitals (n=131) and one nongovernmental organization hospital (n=133) in urban areas, and consisted of professional nurses, staff nurses and nursing assistants. Results: HWs in the public sector reported the poorest working conditions, as indicated by participants' self-reports on stress, workloads, levels of remuneration, standard of work premises, level of human resources and frequency of in-service training. Interesting, however, HWs in the nongovernmental organization sector expressed a greater desire than those in the public and private sectors to leave their current employer. Conclusions: To minimize attrition from the overburdened public-sector workforce and the negative effects of the overall shortage of HWs, innovative efforts are required to address the causes of HWs dissatisfaction and to further identify the nonfinancial factors that influence work choices of HWs. The results highlight the importance of considering a broad range of nonfinancial incentives that encourage HWs to remain in the already overburdened public sector