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Adopting workload-based staffing norms at public sector health facilities in Bangladesh: evidence from two districts

BACKGROUND: Bangladesh’s Health system is characterized by severe shortage and unequitable distribution of the formally trained health workforce. In this context, government of Bangladesh uses fixed staffing norms for its health facilities. These norms do not always reflect the actual requirement in...

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Autores principales: Nuruzzaman, Md, Zapata, Tomas, De Oliveira Cruz, Valeria, Alam, Sabina, Tune, Samiun Nazrin Bente Kamal, Joarder, Taufique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795300/
https://www.ncbi.nlm.nih.gov/pubmed/35090490
http://dx.doi.org/10.1186/s12960-021-00697-7
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author Nuruzzaman, Md
Zapata, Tomas
De Oliveira Cruz, Valeria
Alam, Sabina
Tune, Samiun Nazrin Bente Kamal
Joarder, Taufique
author_facet Nuruzzaman, Md
Zapata, Tomas
De Oliveira Cruz, Valeria
Alam, Sabina
Tune, Samiun Nazrin Bente Kamal
Joarder, Taufique
author_sort Nuruzzaman, Md
collection PubMed
description BACKGROUND: Bangladesh’s Health system is characterized by severe shortage and unequitable distribution of the formally trained health workforce. In this context, government of Bangladesh uses fixed staffing norms for its health facilities. These norms do not always reflect the actual requirement in reality. This study was conducted in public sector health facilities in two selected districts to assess the existing staffing norms with the purpose of adopting better norms and a more efficient utilization of the existing workforce. METHODS: To carry out this assessment, WHO’s Workload Indicators of Staffing Need (WISN) method was applied. Selection of the two districts out of 64 and a total of 24 health facilities were made in consultation with the formally established steering committee of the Ministry of Health. Health facilities, which were performing well in serving the patients during 2016–2017, were selected. This assessment examined staffing requirement of 20 staff categories. RESULTS: Based on the computer-generated WISN results, most of the staff categories were found to have a workload pressure of Very High (seven out of 20 staff categories), followed by Extremely High (five staff categories). Two staff categories had high, three had moderately high, two normal, and one low workload. Nurses were found to be predominantly occupied with support activities (50–60% of working time), instead of actual nursing care. Regarding vacancy, if all the vacant posts were filled, understandably, the workload would reduce, but not yet sufficient to meet the existing staff requirements such as consultants, general physicians and nurses at the district and sub-district/upazila-based hospitals. CONCLUSION: The existing staffing norms fall short of the WISN staffing requirement. The results provide evidence to prompt a revisit of the staffing policies and adopt workload-based norms. This can be supplemented by reviewing the scope of practice of the staff categories in their respective health facilities. In the short term, government might consider redistributing existing workforce as per workload. In the long term, revision of staffing norms is needed to provide quality health services for all.
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spelling pubmed-87953002022-01-28 Adopting workload-based staffing norms at public sector health facilities in Bangladesh: evidence from two districts Nuruzzaman, Md Zapata, Tomas De Oliveira Cruz, Valeria Alam, Sabina Tune, Samiun Nazrin Bente Kamal Joarder, Taufique Hum Resour Health Research BACKGROUND: Bangladesh’s Health system is characterized by severe shortage and unequitable distribution of the formally trained health workforce. In this context, government of Bangladesh uses fixed staffing norms for its health facilities. These norms do not always reflect the actual requirement in reality. This study was conducted in public sector health facilities in two selected districts to assess the existing staffing norms with the purpose of adopting better norms and a more efficient utilization of the existing workforce. METHODS: To carry out this assessment, WHO’s Workload Indicators of Staffing Need (WISN) method was applied. Selection of the two districts out of 64 and a total of 24 health facilities were made in consultation with the formally established steering committee of the Ministry of Health. Health facilities, which were performing well in serving the patients during 2016–2017, were selected. This assessment examined staffing requirement of 20 staff categories. RESULTS: Based on the computer-generated WISN results, most of the staff categories were found to have a workload pressure of Very High (seven out of 20 staff categories), followed by Extremely High (five staff categories). Two staff categories had high, three had moderately high, two normal, and one low workload. Nurses were found to be predominantly occupied with support activities (50–60% of working time), instead of actual nursing care. Regarding vacancy, if all the vacant posts were filled, understandably, the workload would reduce, but not yet sufficient to meet the existing staff requirements such as consultants, general physicians and nurses at the district and sub-district/upazila-based hospitals. CONCLUSION: The existing staffing norms fall short of the WISN staffing requirement. The results provide evidence to prompt a revisit of the staffing policies and adopt workload-based norms. This can be supplemented by reviewing the scope of practice of the staff categories in their respective health facilities. In the short term, government might consider redistributing existing workforce as per workload. In the long term, revision of staffing norms is needed to provide quality health services for all. BioMed Central 2022-01-28 /pmc/articles/PMC8795300/ /pubmed/35090490 http://dx.doi.org/10.1186/s12960-021-00697-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Nuruzzaman, Md
Zapata, Tomas
De Oliveira Cruz, Valeria
Alam, Sabina
Tune, Samiun Nazrin Bente Kamal
Joarder, Taufique
Adopting workload-based staffing norms at public sector health facilities in Bangladesh: evidence from two districts
title Adopting workload-based staffing norms at public sector health facilities in Bangladesh: evidence from two districts
title_full Adopting workload-based staffing norms at public sector health facilities in Bangladesh: evidence from two districts
title_fullStr Adopting workload-based staffing norms at public sector health facilities in Bangladesh: evidence from two districts
title_full_unstemmed Adopting workload-based staffing norms at public sector health facilities in Bangladesh: evidence from two districts
title_short Adopting workload-based staffing norms at public sector health facilities in Bangladesh: evidence from two districts
title_sort adopting workload-based staffing norms at public sector health facilities in bangladesh: evidence from two districts
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795300/
https://www.ncbi.nlm.nih.gov/pubmed/35090490
http://dx.doi.org/10.1186/s12960-021-00697-7
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