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      Transformation of the Tanzania medical stores department through global fund support: an impact assessment study

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          Abstract

          Background

          The Tanzania government sought support from The Global Fund to Fight AIDs, Tuberculosis and Malaria to reform its Medical Stores Department, with the aim of improving performance. The study sought to assess the impact of the reforms and document the lessons learnt.

          Methods

          Quantitative and qualitative research methods were applied to assess the impact of the reforms. The quantitative part entailed a review of operational and financial data covering the period before and after the implementation of the reforms. Interrupted time series analysis was used to determine the change in average availability of essential health commodities at health zones. Qualitative data were collected through 41 key informant interviews. Participants were identified through stakeholder mapping, purposive and snowballing sampling techniques and responses were analysed through thematic content analysis.

          Results

          Availability of essential health commodities increased significantly by 12.6% (95% CI 9.6% to 15.6%) after the reforms and continued to increase on a monthly basis by 0.2% (95%CI 0.0% to 0.3%) relative to the preintervention trend. Sales increased by 56.6% while the cost of goods sold increased by 88.6% between 2014/2015 and 2017/2018. Surplus income increased by 56.4% between 2014/2015 and 2017/2018 with reductions in rent and fuel expenditure. There was consensus among study participants that the reforms were instrumental in improving performance of the Medical Stores Department.

          Conclusion

          Positive results were realised through the reforms. However, despite the progress, there were risks such as the increasing government receivable that could jeopardise the sustainability of the gains. Therefore, multistakeholder efforts are necessary to make progress and expand public health.

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          Most cited references37

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          Snowball Sampling: Problems and Techniques of Chain Referral Sampling

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            Burden of non-communicable diseases in sub-Saharan Africa, 1990–2017: results from the Global Burden of Disease Study 2017

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              Time series regression studies in environmental epidemiology

              Time series regression studies have been widely used in environmental epidemiology, notably in investigating the short-term associations between exposures such as air pollution, weather variables or pollen, and health outcomes such as mortality, myocardial infarction or disease-specific hospital admissions. Typically, for both exposure and outcome, data are available at regular time intervals (e.g. daily pollution levels and daily mortality counts) and the aim is to explore short-term associations between them. In this article, we describe the general features of time series data, and we outline the analysis process, beginning with descriptive analysis, then focusing on issues in time series regression that differ from other regression methods: modelling short-term fluctuations in the presence of seasonal and long-term patterns, dealing with time varying confounding factors and modelling delayed (‘lagged’) associations between exposure and outcome. We finish with advice on model checking and sensitivity analysis, and some common extensions to the basic model.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2020
                6 November 2020
                : 10
                : 11
                : e040276
                Affiliations
                [1 ]The Global Fund to Fight AIDS Tuberculosis and Malaria , Grand-Saconnex, Genève, Switzerland
                [2 ]Independent Consultants , Dar es Salaam, Tanzania, United Republic of
                [3 ]Africa Institute for Health Policy Foundation , Nairobi, Kenya
                [4 ]Tanzania Medical Stores Department , Dar es Salaam, Tanzania, United Republic of
                [5 ]departmentSchool of Health Systems and Public Health , University of Pretoria , Pretoria, South Africa
                Author notes
                [Correspondence to ] Dr Tom Achoki; tachoki@ 123456sloan.mit.edu
                Author information
                http://orcid.org/0000-0001-6309-8904
                Article
                bmjopen-2020-040276
                10.1136/bmjopen-2020-040276
                7651727
                33158832
                230ae07e-3d72-48c7-b29d-3df06d68eb10
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 08 May 2020
                : 05 October 2020
                : 15 October 2020
                Categories
                Public Health
                1506
                1724
                Original research
                Custom metadata
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                Medicine
                health policy,public health,health services administration & management
                Medicine
                health policy, public health, health services administration & management

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