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Comparing time and motion methods to study personnel time in the context of a family planning supply chain intervention in Senegal
BACKGROUND: A family planning (FP) supply chain intervention was introduced in Senegal in 2012 to reduce contraceptive stock-outs. Labour is the highest cost in low- and middle-income country supply chains. In this paper, we (1) understand time use of personnel working in the FP supply chain at heal...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245801/ https://www.ncbi.nlm.nih.gov/pubmed/30453991 http://dx.doi.org/10.1186/s12960-018-0328-2 |
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author | McElwee, Elizabeth Cresswell, Jenny A. Yao, Christian Bakeu, Macaire Cavallaro, Francesca L. Duclos, Diane Lynch, Caroline A. Paintain, Lucy |
author_facet | McElwee, Elizabeth Cresswell, Jenny A. Yao, Christian Bakeu, Macaire Cavallaro, Francesca L. Duclos, Diane Lynch, Caroline A. Paintain, Lucy |
author_sort | McElwee, Elizabeth |
collection | PubMed |
description | BACKGROUND: A family planning (FP) supply chain intervention was introduced in Senegal in 2012 to reduce contraceptive stock-outs. Labour is the highest cost in low- and middle-income country supply chains. In this paper, we (1) understand time use of personnel working in the FP supply chain at health facilities in Senegal, (2) estimate the validity of self-administered timesheets (STs) relative to continuous observations (COs), and (3) describe the cost of data collection for each method. METHODS: We collected time use data for seven stockroom managers in six facilities using both ST and CO. Activities were categorized as follows: stock management associated with FP, non-FP stock management, other productive activities, non-productive activities, and waiting time. Paired t tests were used to compare the mean differences between the two methods in all categories and in productive time alone. RESULTS: Among all activities, the absolute and relative time spent on productive activities was higher when estimated by ST compared to CO. Conversely, waiting time was underestimated by STs. There was no difference in the relative time spent on non-productive activities. When comparing the distribution of the three productive activity categories, we found no evidence of a difference in relative time percentage estimates between CO and ST (FP stockroom management − 3.0%, 95% CI − 7.4 to 1.4%; non-FP stockroom management 3.4%, 95% CI − 2.8 to 9.6%; and other productive activities − 0.1%, 95% CI − 6.3 to 6.0%). Data collection costs for CO are 140% more than ST. CONCLUSION: STs were not a reliable method for measuring absolute labour time at health facilities in Senegal due to considerable underestimates of time waiting for clients. However, ST had acceptable reliability when examining distribution of productive time. Although CO provides more accurate absolute time estimates, the unit costs for data collection using this method are more than triple those for STs in Senegal. |
format | Online Article Text |
id | pubmed-6245801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62458012018-11-26 Comparing time and motion methods to study personnel time in the context of a family planning supply chain intervention in Senegal McElwee, Elizabeth Cresswell, Jenny A. Yao, Christian Bakeu, Macaire Cavallaro, Francesca L. Duclos, Diane Lynch, Caroline A. Paintain, Lucy Hum Resour Health Research BACKGROUND: A family planning (FP) supply chain intervention was introduced in Senegal in 2012 to reduce contraceptive stock-outs. Labour is the highest cost in low- and middle-income country supply chains. In this paper, we (1) understand time use of personnel working in the FP supply chain at health facilities in Senegal, (2) estimate the validity of self-administered timesheets (STs) relative to continuous observations (COs), and (3) describe the cost of data collection for each method. METHODS: We collected time use data for seven stockroom managers in six facilities using both ST and CO. Activities were categorized as follows: stock management associated with FP, non-FP stock management, other productive activities, non-productive activities, and waiting time. Paired t tests were used to compare the mean differences between the two methods in all categories and in productive time alone. RESULTS: Among all activities, the absolute and relative time spent on productive activities was higher when estimated by ST compared to CO. Conversely, waiting time was underestimated by STs. There was no difference in the relative time spent on non-productive activities. When comparing the distribution of the three productive activity categories, we found no evidence of a difference in relative time percentage estimates between CO and ST (FP stockroom management − 3.0%, 95% CI − 7.4 to 1.4%; non-FP stockroom management 3.4%, 95% CI − 2.8 to 9.6%; and other productive activities − 0.1%, 95% CI − 6.3 to 6.0%). Data collection costs for CO are 140% more than ST. CONCLUSION: STs were not a reliable method for measuring absolute labour time at health facilities in Senegal due to considerable underestimates of time waiting for clients. However, ST had acceptable reliability when examining distribution of productive time. Although CO provides more accurate absolute time estimates, the unit costs for data collection using this method are more than triple those for STs in Senegal. BioMed Central 2018-11-19 /pmc/articles/PMC6245801/ /pubmed/30453991 http://dx.doi.org/10.1186/s12960-018-0328-2 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research McElwee, Elizabeth Cresswell, Jenny A. Yao, Christian Bakeu, Macaire Cavallaro, Francesca L. Duclos, Diane Lynch, Caroline A. Paintain, Lucy Comparing time and motion methods to study personnel time in the context of a family planning supply chain intervention in Senegal |
title | Comparing time and motion methods to study personnel time in the context of a family planning supply chain intervention in Senegal |
title_full | Comparing time and motion methods to study personnel time in the context of a family planning supply chain intervention in Senegal |
title_fullStr | Comparing time and motion methods to study personnel time in the context of a family planning supply chain intervention in Senegal |
title_full_unstemmed | Comparing time and motion methods to study personnel time in the context of a family planning supply chain intervention in Senegal |
title_short | Comparing time and motion methods to study personnel time in the context of a family planning supply chain intervention in Senegal |
title_sort | comparing time and motion methods to study personnel time in the context of a family planning supply chain intervention in senegal |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245801/ https://www.ncbi.nlm.nih.gov/pubmed/30453991 http://dx.doi.org/10.1186/s12960-018-0328-2 |
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