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Emergency and surgery services of primary hospitals in the United Republic of Tanzania.

ABSTRACT: The primary objective was to evaluate the capacity of first-referral health facilities in Tanzania to perform basic surgical procedures. The intent was to assist in planning strategies for universal access to life-saving and disability-preventing surgical services.Cross-sectional survey.First-referral health facilities in the United Republic of Tanzania.48 health facilities.The WHO Tool for Situational Analysis to Assess Emergency and Essential Surgical Care was employed to capture a health facility's capacity to perform basic surgical (including obstetrics and trauma) and anaesthesia interventions by investigating four categories of data: infrastructure, human resources, interventions available and equipment. The tool queried the availability of eight types of care providers, 35 surgical interventions and 67 items of equipment.The 48 facilities surveyed served 18.6 million residents (46% of the population). Supplies for basic airway management were inconsistently available. Only 42% had consistent access to oxygen, and only six functioning pulse oximeters were located in all facilities surveyed. 37.5% of facilities reported both consistent running water and electricity. While very basic interventions (suturing, wound debridement, incision and drainage) were provided in nearly all facilities, more advanced life-saving procedures including chest tube thoracostomy (30/48), open fracture management (29/48) and caesarean section delivery (32/48) were not consistently available.Based on the results in this WHO country survey, significant gaps exist in the capacity for emergency and essential surgical services in Tanzania including deficits in human resources, essential equipment and infrastructure. The information in this survey will provide a foundation for evidence-based decisions in country-level policy regarding the allocation of resources and provision of emergency and essential surgical services.

SUBMITTER: Penoyar T

PROVIDER: S-EPMC3274714 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Emergency and surgery services of primary hospitals in the United Republic of Tanzania.

Penoyar Tom T Cohen Hillary H Kibatala P P Magoda A A Saguti G G Noel L L Groth S S Mwakyusa D H DH Cherian M M

BMJ open 20120203 1

<h4>Objective</h4>The primary objective was to evaluate the capacity of first-referral health facilities in Tanzania to perform basic surgical procedures. The intent was to assist in planning strategies for universal access to life-saving and disability-preventing surgical services.<h4>Design</h4>Cross-sectional survey.<h4>Setting</h4>First-referral health facilities in the United Republic of Tanzania.<h4>Participants</h4>48 health facilities.<h4>Measures</h4>The WHO Tool for Situational Analysi ...[more]

PMID: 22307096

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Project description:BackgroundA nationwide, school, malaria survey was implemented to assess the risk factors of malaria prevalence and bed net use among primary school children in mainland Tanzania. This allowed the mapping of malaria prevalence at council level and assessment of malaria risk factors among school children.MethodsA cross-sectional, school, malaria parasitaemia survey was conducted in 25 regions, 166 councils and 357 schools in three phases: (1) August to September 2014; (2) May 2015; and, (3) October 2015. Children were tested for malaria parasites using rapid diagnostic tests and were interviewed about household information, parents' education, bed net indicators as well as recent history of fever. Multilevel mixed effects logistic regression models were fitted to estimate odds ratios of risk factors for malaria infection and for bed net use while adjusting for school effect.ResultsIn total, 49,113 children were interviewed and tested for malaria infection. The overall prevalence of malaria was 21.6%, ranging from <?0.1 to 53% among regions and from 0 to 76.4% among councils. The malaria prevalence was below 5% in 62 of the 166 councils and above 50% in 18 councils and between 5 and 50% in the other councils. The variation of malaria prevalence between schools was greatest in regions with a high mean prevalence, while the variation was marked by a few outlying schools in regions with a low mean prevalence. Overall, 70% of the children reported using mosquito nets, with the highest percentage observed among educated parents (80.7%), low land areas (82.7%) and those living in urban areas (82.2%).ConclusionsThe observed prevalence among school children showed marked variation at regional and sub-regional levels across the country. Findings of this survey are useful for updating the malaria epidemiological profile and for stratification of malaria transmission by region, council and age groups, which is essential for guiding resource allocation, evaluation and prioritization of malaria interventions.

Project description:BACKGROUND:There is a longstanding interest in the field of management science to study high performance organizations. Applied to medicine, research on hospital performance indicates that some hospitals are high performing, while others are not. The objective of this study was to identify a cluster of high-performing emergency general surgery (EGS) hospitals and assess whether high performance at one EGS operation was associated with high performance on all EGS operations. METHODS:Adult patients who underwent one of eight EGS operations were identified in the California State Inpatient Database (2010-2011), which we linked to the American Hospital Association database. Beta regression was used to estimate a hospital's risk-adjusted mortality, accounting for patient- and hospital-level factors. Centroid cluster analysis grouped hospitals by patterns of mortality rates across the eight EGS operations using z scores. Multinomial logistic regression compared hospital characteristics by cluster. RESULTS:A total of 220 acute care hospitals were included. Three distinct clusters of hospitals were defined based on assessment of mortality for each operation type: high-performing hospitals (n = 66), average performing (n = 99), and low performing (n = 55). The mortality by individual operation type at the high-performing cluster was consistently at least 1.5 standard deviations better than the low-performing cluster (p < 0.001). Within-cluster variation was minimal at high-performing hospitals compared with wide variation at low-performing hospitals. A hospital's high performance in one EGS operation type predicted high performance on all EGS operation types. CONCLUSION:High-performing EGS hospitals attain excellence across all types of EGS operations, with minimal variability in mortality. Poor-performing hospitals are persistently below average, even for low-risk operations. These findings suggest that top-performing EGS hospitals are highly reliable, with systems of care in place to achieve consistently superior results. Further investigation and collaboration are needed to identify the factors associated with high performance. LEVEL OF EVIDENCE:Prognostic, level III.

Project description:BACKGROUND:Expected performance rates for various outcome metrics are a hallmark of hospital quality indicators used by Agency of Healthcare Research and Quality, Center for Medicare and Medicaid Services, and National Quality Forum. The identification of outlier hospitals with above- and below-expected mortality for emergency general surgery (EGS) operations is therefore of great value for EGS quality improvement initiatives. The aim of this study was to determine hospital variation in mortality after EGS operations, and compare characteristics between outlier hospitals. METHODS:Using data from the California State Inpatient Database (2010-2011), we identified patients who underwent one of eight common EGS operations. Expected mortality was obtained from a Bayesian model, adjusting for both patient- and hospital-level variables. A hospital-level standardized mortality ratio (SMR) was constructed (ratio of observed to expected deaths). Only hospitals performing three or more of each operation were included. An "outlier" hospital was defined as having an SMR with 80% confidence interval that did not cross 1.0. High- and low-mortality SMR outliers were compared. RESULTS:There were 140,333 patients included from 220 hospitals. Standardized mortality ratio varied from a high of 2.6 (mortality, 160% higher than expected) to a low of 0.2 (mortality, 80% lower than expected); 12 hospitals were high SMR outliers, and 28 were low SMR outliers. Standardized mortality was over three times worse in the high SMR outliers compared with the low SMR outliers (1.7 vs. 0.5; p < 0.001). Hospital-, patient-, and operative-level characteristics were equivalent in each outlier group. CONCLUSION:There exists significant hospital variation in standardized mortality after EGS operations. High SMR outliers have significant excess mortality, while low SMR outliers have superior EGS survival. Common hospital-level characteristics do not explain the wide gap between underperforming and overperforming outlier institutions. These findings suggest that SMR can help guide assessment of EGS performance across hospitals; further research is essential to identify and define the hospital processes of care which translate into optimal EGS outcomes. LEVEL OF EVIDENCE:Epidemiologic Study, level III.

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Emergency and surgery services of primary hospitals in the United Republic of Tanzania.

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Emergency and surgery services of primary hospitals in the United Republic of Tanzania.

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