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Enregistrement W1548673617 · doi:10.5451/unibas-006281233

Health system governance in Tanzania : impact on service delivery in the public sector

2014· dissertation· en· W1548673617 sur OpenAlexfundno aff
Inez Mikkelsen-Lopez

Notice bibliographique

Revueedoc (University of Basel) · 2014
Typedissertation
Langueen
DomaineMedicine
ThématiqueGlobal Maternal and Child Health
Établissements canadiensnon disponible
Organismes subventionnairesMedicines for Malaria VentureInternational Development Research CentreUniversität BaselSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
Mots-clésTanzaniaCorporate governanceProcurementAccountabilityBusinessService delivery frameworkEssential medicinesHealth carePublic economicsEconomic growthService (business)Political scienceEconomicsEnvironmental planningMarketingFinanceGeography

Résumé

récupéré en direct d'OpenAlex

Governance in the health system has perhaps been the least explored building block of the health system, receiving less attention due to its vague definition and complex nature. When discussed at the country level it often focuses on single elements such as corruption or accountability and doesn’t consider wider interactions of relevance to how policies are formed. How well governed a health system is can often mean the difference between the efficient use of resources and inefficient waste, which is even more important in a resource constrained environment. \nThe United Republic of Tanzania has been a major recipient of donor aid over the past few decades. Tanzania’s health sector in particular has been the subject of much donor interest, especially regarding medicines. One of the first donors to support medicines was Danida who funded the essential medicines kit, and since then numerous donors have been involved in either funding medicines, designing policies around medicines selection, procurement and distribution, or direct medicines donations. Although Tanzania has largely benefited from this increase in donor support, not all of it has been designed and implemented adequately to suit the situation and needs of Tanzania. In other words, health systems governance may sometimes have been weakened by donor-interest, resulting in reduced quality of health care. \nThe aim of this research was to contribute to a better understanding of health system governance and apply this knowledge to the Tanzanian health system. The insights gained should aid policy makers and other stakeholders to design interventions that are appropriate for the local context to ensure a stronger health system which is able to attain its goals of improving the level and distribution of health, while responding to the population’s needs and protecting them from large, often catastrophic financial expenditures. \nThe research was carried out as part of the Governance of Health Systems project, a collaborative endeavour between the Swiss Tropical and Public Health Institute and the Basel Institute of Governance. Quantitative and qualitative methods were applied to data collected in two areas of the local Health and Demographic Surveillance System (HDSS), Ulanga District and Rufiji District. We used both primary data collection and secondary data, covering the period from 1999 – 2011. \nThe overall findings are that despite the interest over the past decade to develop frameworks to assess governance in the health system, few have been empirically applied. The first part of this thesis focuses on developing a framework to assess governance in the health system; the second part applies this framework to a selected governance issue in Tanzania, namely the delivery of essential medicines to public health centres in Tanzania. At the national level, this investigation found that the medicines ordering system was based on a complex paper-based system which had not been designed with local capacity in mind, nor did it improve the accountability of medicines. Lack of accountability was also found at the health facility level, where over half of respondents interviewed who sought care in the public sector for fever, subsequently experienced the consequences of one form or another of non-compliant health-worker behaviour (overcharging for treatment and medicines, stocking out of the first line antimalarial, dispensing an inappropriate monotherapy). This resulted in an additional cost to the patient, on average, of USD1.62 per treatment episode, representing 125% of the national per capita daily income, or 164% of the rural per capita daily income. \nStockouts of essential medicines are an immediate indicator of governance failure and in the case of fully funded donor medicines, stockouts represent a health system failure. This research identified that in a 15 month period from October 2011 until the end of 2012, an estimated 29% of health facilities were stocked out of the first line antimalarial at any one time. These stockouts were due to failures at the national and international level where excessive bureaucratic procedures resulted in fragmented and dysfunctional procedures for procurement of the first line antimalarial. \nThe findings in this thesis suggest that Tanzania should redesign the medicines ordering system, with greater participation from health workers, in order to better understand the challenges they face. We recommend various interventions across the health system to strengthen it and improve the availability of medicines. The most important recommendation would be to increase accountability and transparency of the medicines delivery system and force reconciliation between data sources thereby creating information on medicines consumed. \nThe findings of this thesis contribute to a more comprehensive understanding of governance in health systems and how overlooking governance can cause major catastrophic stockouts of essential medicines, in addition to a reduced level of service delivery and greater economic hardship for households. \n

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,085
Score d'incertitude au seuil0,168

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,002
Communication savante0,0030,002
Science ouverte0,0010,004
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0100,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,237
Écart entre enseignants0,227 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2014
Routes d'admission1
Résumé présentoui

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