Improving quality of medical certification of causes of death in health facilities in Tanzania 2014-2019.

BACKGROUND: Monitoring medically certified causes of death is essential to shape national health policies, track progress to Sustainable Development Goals, and gauge responses to epidemic and pandemic disease. The combination of electronic health information systems with new methods for data quality monitoring can facilitate quality assessments and help target quality improvement. Since 2015, Tanzania has been upgrading its Civil Registration and Vital Statistics system including efforts to improve the availability and quality of mortality data. METHODS: We used a computer application (ANACONDA v4.01) to assess the quality of medical certification of cause of death (MCCD) and ICD-10 coding for the underlying cause of death for 155,461 deaths from health facilities from 2014 to 2018. From 2018 to 2019, we continued quality analysis for 2690 deaths in one large administrative region 9 months before, and 9 months following MCCD quality improvement interventions. Interventions addressed governance, training, process, and practice. We assessed changes in the levels, distributions, and nature of unusable and insufficiently specified codes, and how these influenced estimates of the leading causes of death. RESULTS: 9.7% of expected annual deaths in Tanzania obtained a medically certified cause of death. Of these, 52% of MCCD ICD-10 codes were usable for health policy and planning, with no significant improvement over 5 years. Of certified deaths, 25% had unusable codes, 17% had insufficiently specified codes, and 6% were undetermined causes. Comparing the before and after intervention periods in one Region, codes usable for public health policy purposes improved from 48 to 65% within 1 year and the resulting distortions in the top twenty cause-specific mortality fractions due to unusable causes reduced from 27.4 to 13.5%. CONCLUSION: Data from less than 5% of annual deaths in Tanzania are usable for informing policy. For deaths with medical certification, errors were prevalent in almost half. This constrains capacity to monitor the 15 SDG indicators that require cause-specific mortality. Sustainable quality assurance mechanisms and interventions can result in rapid improvements in the quality of medically certified causes of death. ANACONDA provides an effective means for evaluation of such changes and helps target interventions to remaining weaknesses.

Cause-specific mortality patterns among hospital deaths in Tanzania, 2006-2015.

BACKGROUND: Understanding the causes of inpatient mortality in hospitals is important for monitoring the population health and evidence-based planning for curative and public health care. Dearth of information on causes and trends of hospital mortality in most countries of Sub-Saharan Africa has resulted to wide use of model-based estimation methods which are characterized by estimation errors. This retrospective analysis used primary data to determine the cause-specific mortality patterns among inpatient hospital deaths in Tanzania from 2006-2015. MATERIALS AND METHODS: The analysis was carried out from July to December 2016 and involved 39 hospitals in Tanzania. A review of hospital in-patient death registers and report forms was done to cover a period of 10 years. Information collected included demographic characteristics of the deceased and immediate underlying cause of death. Causes of death were coded using international classification of diseases (ICD)-10. Data were analysed to provide information on cause-specific, trends and distribution of death by demographic and geographical characteristics. PRINCIPAL FINDINGS: A total of 247,976 deaths were captured over a 10-year period. The median age at death was 30 years, interquartile range (IQR) 1, 50. The five leading causes of death were malaria (12.75%), respiratory diseases (10.08%), HIV/AIDS (8.04%), anaemia (7.78%) and cardio-circulatory diseases (6.31%). From 2006 to 2015, there was a noted decline in the number of deaths due to malaria (by 47%), HIV/AIDS (28%) and tuberculosis (26%). However, there was an increase in number of deaths due to neonatal disorders by 128%. Malaria and anaemia killed more infants and children under 5 years while HIV/AIDS and Tuberculosis accounted for most of the deaths among adults. CONCLUSION: The leading causes of inpatient hospital death were malaria, respiratory diseases, HIV/AIDS, anaemia and cardio-circulatory diseases. Death among children under 5 years has shown an increasing trend. The observed trends in mortality indicates that the country is lagging behind towards attaining the global and national goals for sustainable development. The increasing pattern of respiratory diseases, cancers and septicaemia requires immediate attention of the health system.

Regional Differences in Intervention Coverage and Health System Strength in Tanzania.

BACKGROUND: Assessments of subnational progress and performance coverage within countries should be an integral part of health sector reviews, using recent data from multiple sources on health system strength and coverage. METHOD: As part of the midterm review of the national health sector strategic plan of Tanzania mainland, summary measures of health system strength and coverage of interventions were developed for all 21 regions, focusing on the priority indicators of the national plan. Household surveys, health facility data and administrative databases were used to compute the regional scores. FINDINGS: Regional Millennium Development Goal (MDG) intervention coverage, based on 19 indicators, ranged from 47% in Shinyanga in the northwest to 71% in Dar es Salaam region. Regions in the eastern half of the country have higher coverage than in the western half of mainland. The MDG coverage score is strongly positively correlated with health systems strength (r = 0.84). Controlling for socioeconomic status in a multivariate analysis has no impact on the association between the MDG coverage score and health system strength. During 1991-2010 intervention coverage improved considerably in all regions, but the absolute gap between the regions did not change during the past two decades, with a gap of 22% between the top and bottom three regions. INTERPRETATION: The assessment of regional progress and performance in 21 regions of mainland Tanzania showed considerable inequalities in coverage and health system strength and allowed the identification of high and low-performing regions. Using summary measures derived from administrative, health facility and survey data, a subnational picture of progress and performance can be obtained for use in regular health sector reviews.

Midterm review of national health plans: an example from the United Republic of Tanzania.

In the health sector, planning and resource allocation at country level are mainly guided by national plans. For each such plan, a midterm review of progress is important for policy-makers since the review can inform the second half of the plan's implementation and provide a situation analysis on which the subsequent plan can be based. The review should include a comprehensive analysis using recent data - from surveys, facility and administrative databases - and global health estimates. Any midterm analysis of progress is best conducted by a team comprising representatives of government agencies, independent national institutions and global health organizations. Here we present an example of such a review, done in 2013 in the United Republic of Tanzania. Compared to similar countries, the results of this midterm review showed good progress in all health indicators except skilled birth attendance.

Dans le secteur de la santé, la planification et l'allocation des ressources au niveau national sont principalement guidées par les plans des pays. Pour chacun de ces plans, un examen à mi-parcours des progrès réalisés est important pour les responsables politiques, puisque cet examen peut donner des informations pour la deuxième moitié de la mise en œuvre du plan et fournir une analyse de la situation à partir de laquelle la suite du plan peut se baser. L'examen devrait inclure une analyse complète utilisant les données récentes (obtenues à partir des bases de données des enquêtes, des établissements et de l'administration) et les estimations sanitaires mondiales. Toute analyse à mi-parcours des progrès réalisés doit être menée de préférence par une équipe comprenant des représentants des agences gouvernementales, des institutions nationales indépendantes et des organisations sanitaires mondiales. Nous présentons ici un exemple d'un tel examen, réalisé en 2012 dans la République-Unie de Tanzanie. Par rapport à d'autres pays similaires, les résultats de cet examen à mi-parcours montrent une progression satisfaisante de tous les indicateurs de santé, à l'exception de l'accouchement assisté par un soignant qualifié.

En el sector de la salud, la planificación y la asignación de recursos a nivel nacional se guían principalmente por planes nacionales. Para los planificadores de políticas es importante contar una revisión intermedia de los progresos de cada plan, ya que puede proporcionar información sobre la segunda mitad de la implementación del plan y un análisis de la situación en la que basar planes posteriores. La revisión debe incluir un análisis exhaustivo con datos recientes - a partir de encuestas y bases de datos administrativas y de los centros - y estimaciones mundiales de salud. La mejor manera de realizar cualquier análisis intermedio de los progresos es a través de un equipo integrado por representantes de organismos gubernamentales, instituciones nacionales independientes y organizaciones mundiales de salud. Aquí presentamos un ejemplo de ese tipo de revisiones, realizada en 2012 en Tanzania. En comparación con países similares, los resultados de este examen intermedio mostraron un progreso correcto en todos los indicadores de salud, excepto en la prestación de atención especializada en el parto.