Evaluating the informed push model intervention in Senegal
Krug, C, Lynch, C
, Cavallaro, F and Wong, K
(2020).
Evaluating the informed push model intervention in Senegal.
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
10.17037/DATA.00001570.
This evaluation pertains to a supply chain intervention using performance-based contracting for contraceptive distribution that was introduced throughout Senegal between 2012 and 2015. Data on stock availability and monthly family planning consultations over a 4-year period were collected from 200 health facilities in five regions to perform time series analyses.
Keywords
Informed push model intervention, Supply chain interventionItem Type | Dataset |
---|---|
Description of data capture | This data was collected with the aim of evaluating the Senegalese Informed Push Model Third-Party Logisticians (IPM) intervention, which involves logistics operators to collect facility-level stock turnover data once a month and provide contraceptive supplies accordingly. Specifically, it allowed us to evaluate the impact of IPM on contraceptive stock availability and on stockout event duration. |
Capture method | Questionnaire: Fixed form - Web-based |
Collection Period |
From To 2015 1 January 2020 |
Date | 20 February 2020 |
Geographical area covered (offline during plugin upgrade) |
North Latitude East Longitude South Latitude West Longitude 16.8553 -10.4712 12.1985 -17.9199 |
Language(s) of written materials | English |
Creator(s) |
Krug, C, Lynch, C |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
Research Centre | Maternal Health Group |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, Institut Santé et Développement, Université Cheikh Anta Diop |
Funders |
Project Funder Grant Number Funder URI |
Date Deposited | 26 Mar 2020 11:42 |
Last Modified | 01 Aug 2023 09:59 |
Publisher | London School of Hygiene & Tropical Medicine |
Negative_binomial_AMOX_dataset.zip
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Negative_binomial_contraceptive_dataset.zip
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info - Negative binomial database for all five contraceptives
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1570-Codebook.html
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ORCID: https://orcid.org/0000-0003-0072-0473
ORCID: https://orcid.org/0000-0002-4400-2257