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. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00001570.

Krug, C, Lynch, C, Cavallaro, F and Wong, K. Evaluating the informed push model intervention in Senegal. [Internet] LSHTM Data Compass. London, United Kingdom: London School of Hygiene & Tropical Medicine; 2020. Available from: https://doi.org/10.17037/DATA.00001570.

Krug, C, Lynch, C, Cavallaro, F and Wong, K (2020). Evaluating the informed push model intervention in Senegal. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001570.

Description

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.
Data capture method Questionnaire: Fixed form - Web-based
Data Collection Period
FromTo
20151 January 2020
Date (Completed) 20 February 2020
Geographical area covered
North LatitudeEast LongitudeSouth LatitudeWest Longitude
16.8553-10.471212.1985-17.9199
Language(s) of written materials English
Data Creators Krug, C, Lynch, C, Cavallaro, F and Wong, K
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
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
ProjectFunderGrant NumberFunder URI
UNSPECIFIEDMerck Sharp & Dohme Corp.UNSPECIFIEDUNSPECIFIED
Depositor Catarina Krug
Date Deposited 26 Mar 2020 11:42
Last Modified 27 Mar 2020 13:15
Publisher London School of Hygiene & Tropical Medicine

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Filename: Negative_binomial_AMOX_dataset.zip

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Description: Negative binomial database for all five contraceptives

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