The Experts below are selected from a list of 231 Experts worldwide ranked by ideXlab platform
Bonaventura C T Mpondo - One of the best experts on this subject based on the ideXlab platform.
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health Facility Service availability and readiness to provide basic emergency obstetric and newborn care in a low resource setting evidence from a tanzania national survey
BMJ Open, 2019Co-Authors: Deogratius Bintabara, Alex Ernest, Bonaventura C T MpondoAbstract:Objective This study used a nationally representative sample from Tanzania as an example of low-resource setting with a high burden of maternal and newborn deaths, to assess the availability and readiness of health facilities to provide basic emergency obstetric and newborn care (BEmONC) and its associated factors. Design Health Facility-based cross-sectional survey. Setting We analysed data for obstetric and newborn care Services obtained from the 2014–2015 Tanzania Service Provision Assessment survey, using WHO-Service Availability and Readiness Assessment tool. Primary and secondary outcome measures Availability of seven signal functions was measured based on the provision of ‘parental administration of antibiotic’, ‘parental administration of oxytocic’, ‘parental administration of anticonvulsants’, ‘assisted vaginal delivery’, ‘manual removal of placenta’, ‘manual removal of retained products of conception’ and ‘neonatal resuscitation’. Readiness was a composite variable measured based on the availability of supportive items categorised into three domains: staff training, diagnostic equipment and basic medicines. Results Out of 1188 facilities, 905 (76.2%) were reported to provide obstetric and newborn care Services and therefore were included in the analysis of the current study. Overall availability of seven signal functions and average readiness score were consistently higher among hospitals than health centres and dispensaries (p Conclusion The study findings show disparities in the availability and readiness to provide BEmONC among health facilities in Tanzania. The Tanzanian Ministry of Health should emphasise quality assurance efforts and systematic maternal and newborn death audits. Health leadership should fairly distribute clinical guidelines, essential medicines, equipment and refresher trainings to improve availability and quality BEmONC.
Justo Puerto - One of the best experts on this subject based on the ideXlab platform.
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The reliable p-median problem with at-Facility Service
European Journal of Operational Research, 2015Co-Authors: Maria Albareda-sambola, Yolanda Hinojosa, Justo PuertoAbstract:Abstract This paper deals with a discrete Facility location model where Service is provided at the Facility sites. It is assumed that facilities can fail and customers do not have information on failures before reaching them. As a consequence, they may need to visit more than one Facility, following an optimized search scheme, in order to get Service. The goal of the problem is to locate p facilities in order to minimize the expected total travel cost. The paper presents two alternative mathematical programming formulations for this problem and proposes a matheuristic based on a network flow model to provide solutions to it. The computational burden of the presented formulations is tested and compared on a test-bed of instances.
Annette Ozaltin - One of the best experts on this subject based on the ideXlab platform.
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Immunization costs, from evidence to policy: Findings from a nationally representative costing study and policy translation effort in Tanzania.
Vaccine, 2020Co-Authors: Kelsey Vaughan, Emma Clarke-deelder, Kassimu Tani, Dafrossa Lyimo, Alex Mphuru, Fatuma Manzi, Carl Schütte, Annette OzaltinAbstract:Abstract Introduction Information on the costs of routine immunization programs is needed for budgeting, planning, and domestic resource mobilization. This information is particularly important for countries such as Tanzania that are preparing to transition out of support from Gavi, the Vaccine Alliance. This study aimed to estimate the total and unit costs for of child immunization in Tanzania from July 2016 to June 2017 and make this evidence available to key stakeholders. Methods We used an ingredients-based approach to collect routine immunization cost data from the Facility, district, regional, and national levels. We collected data on the cost of vaccines as well as non-vaccine delivery costs. We estimated total and unit costs from a provider perspective for each level and overall, and examined how costs varied by delivery strategy, geographic area, and Facility-level Service delivery volume. An evidence-to-policy plan identified key opportunities and stakeholders to target to facilitate the use of results. Results The total annual economic cost of the immunization program, inclusive of vaccines, was estimated to be US$138 million (95% CI: 133, 144), or $4.32 ($3.72, $4.98) per dose. The delivery costs made up $45 million (38, 52), or $1.38 (1.06, 1.70) per dose. The costs of Facility-based delivery were similar in urban and rural areas, but the costs of outreach delivery were higher in rural areas than in urban areas. The Facility-level delivery cost per dose decreased with the Facility Service delivery volume. Discussion We estimated the costs of the routine immunization program in Tanzania, where no immunization costing study had been conducted for five years. These estimates can inform the program’s budgeting and planning as Tanzania prepares to transition out of Gavi support. Next steps for evidence-to-policy translation have been identified, including technical support requirements for policy advocacy and planning.
Deogratius Bintabara - One of the best experts on this subject based on the ideXlab platform.
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health Facility Service availability and readiness to provide basic emergency obstetric and newborn care in a low resource setting evidence from a tanzania national survey
BMJ Open, 2019Co-Authors: Deogratius Bintabara, Alex Ernest, Bonaventura C T MpondoAbstract:Objective This study used a nationally representative sample from Tanzania as an example of low-resource setting with a high burden of maternal and newborn deaths, to assess the availability and readiness of health facilities to provide basic emergency obstetric and newborn care (BEmONC) and its associated factors. Design Health Facility-based cross-sectional survey. Setting We analysed data for obstetric and newborn care Services obtained from the 2014–2015 Tanzania Service Provision Assessment survey, using WHO-Service Availability and Readiness Assessment tool. Primary and secondary outcome measures Availability of seven signal functions was measured based on the provision of ‘parental administration of antibiotic’, ‘parental administration of oxytocic’, ‘parental administration of anticonvulsants’, ‘assisted vaginal delivery’, ‘manual removal of placenta’, ‘manual removal of retained products of conception’ and ‘neonatal resuscitation’. Readiness was a composite variable measured based on the availability of supportive items categorised into three domains: staff training, diagnostic equipment and basic medicines. Results Out of 1188 facilities, 905 (76.2%) were reported to provide obstetric and newborn care Services and therefore were included in the analysis of the current study. Overall availability of seven signal functions and average readiness score were consistently higher among hospitals than health centres and dispensaries (p Conclusion The study findings show disparities in the availability and readiness to provide BEmONC among health facilities in Tanzania. The Tanzanian Ministry of Health should emphasise quality assurance efforts and systematic maternal and newborn death audits. Health leadership should fairly distribute clinical guidelines, essential medicines, equipment and refresher trainings to improve availability and quality BEmONC.
Maria Albareda-sambola - One of the best experts on this subject based on the ideXlab platform.
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The reliable p-median problem with at-Facility Service
European Journal of Operational Research, 2015Co-Authors: Maria Albareda-sambola, Yolanda Hinojosa, Justo PuertoAbstract:Abstract This paper deals with a discrete Facility location model where Service is provided at the Facility sites. It is assumed that facilities can fail and customers do not have information on failures before reaching them. As a consequence, they may need to visit more than one Facility, following an optimized search scheme, in order to get Service. The goal of the problem is to locate p facilities in order to minimize the expected total travel cost. The paper presents two alternative mathematical programming formulations for this problem and proposes a matheuristic based on a network flow model to provide solutions to it. The computational burden of the presented formulations is tested and compared on a test-bed of instances.
