Evidence map›Paper›PMID 17997824›Full record

ArticleBMC health services research2007

What do district health planners in Tanzania think about improving priority setting using 'Accountability for reasonableness'?

Simon Mshana, Haji Shemilu, Benedict Ndawi, Roman Momburi, Oystein Evjen Olsen, Jens Byskov, Douglas K Martin

Abstract read
In one paragraph

Article in BMC health services research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Simon MshanaDepartment of Health Policy, Management and Evaluation and the Joint Centre for Bioethics, University of Toronto, Toronto, Canada. douglas.martin@utoronto.ca
Haji Shemilu
Benedict Ndawi
Roman Momburi
Oystein Evjen Olsen
Jens Byskov
Douglas K Martin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPriority setting in every health system is complex and difficult. In less wealthy countries the dominant approach to priority setting has been Burden of Disease (BOD) and cost-effectiveness analysis (CEA), which is helpful, but insufficient because it focuses on a narrow range of values - need and efficiency - and not the full range of relevant values, including legitimacy and fairness. 'Accountability for reasonableness' is a conceptual framework for legitimate and fair priority setting and is empirically based and ethically justified. It connects priority setting to broader, more fundamental, democratic deliberative processes that have an impact on social justice and equity. Can 'accountability for reasonableness' be helpful for improving priority setting in less wealthy countries?

methodsIn 2005, Tanzanian scholars from the Primary Health Care Institute (PHCI) conducted 6 capacity building workshops with senior health staff, district planners and managers, and representatives of the Tanzanian Ministry of Health to discussion improving priority setting in Tanzania using 'accountability for reasonableness'. The purpose of this paper is to describe this initiative and the participants' views about the approach.

resultsThe approach to improving priority setting using 'accountability for reasonableness' was viewed by district decision makers with enthusiastic favour because it was the first framework that directly addressed their priority setting concerns. High level Ministry of Health participants were also very supportive of the approach.

conclusionBoth Tanzanian district and governmental health planners viewed the 'accountability for reasonableness' approach with enthusiastic favour because it was the first framework that directly addressed their concerns.

Indexed as

Attitude of Health PersonnelDecision Making, OrganizationalSocial JusticeSocial ResponsibilityEthics, InstitutionalHealth PrioritiesHumansInterviews as TopicOrganizational ObjectivesPolicy MakingPublic Health AdministrationResource AllocationSurveys and QuestionnairesTanzania

Identifiers

PMID17997824
PMCPMC2151948

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.