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Assessment of staffing needs for physicians and nurses at Upazila health complexes in Bangladesh using WHO workload indicators of staffing need (WISN) method
OBJECTIVE: This study aimed to assess the current workload and staffing need of physicians and nurses for delivering optimum healthcare services at the Upazila Health Complexes (UpHCs) in Bangladesh. DESIGN: Mixed-methods, combining qualitative (eg, document reviews, key informant interviews, in-dep...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045064/ https://www.ncbi.nlm.nih.gov/pubmed/32060164 http://dx.doi.org/10.1136/bmjopen-2019-035183 |
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author | Joarder, Taufique Tune, Samiun Nazrin Bente Kamal Nuruzzaman, Md Alam, Sabina de Oliveira Cruz, Valeria Zapata, Tomas |
author_facet | Joarder, Taufique Tune, Samiun Nazrin Bente Kamal Nuruzzaman, Md Alam, Sabina de Oliveira Cruz, Valeria Zapata, Tomas |
author_sort | Joarder, Taufique |
collection | PubMed |
description | OBJECTIVE: This study aimed to assess the current workload and staffing need of physicians and nurses for delivering optimum healthcare services at the Upazila Health Complexes (UpHCs) in Bangladesh. DESIGN: Mixed-methods, combining qualitative (eg, document reviews, key informant interviews, in-depth interviews, observations) and quantitative methods (time-motion survey). SETTING: Study was conducted in 24 health facilities of Bangladesh. However, UpHCs being the nucleus of primary healthcare in Bangladesh, this manuscript limits itself to reporting the findings from the providers at four UpHCs under this project. PARTICIPANTS: 18 physicians and 51 nurses, males and females. PRIMARY OUTCOME MEASURES: Workload components were defined based on inputs from five experts, refined by nine service providers. Using WHO Workload Indicator of Staffing Need (WISN) software, standard workload, category allowance factor, individual allowance factor, total required number of staff, WISN difference and WISN ratio were calculated. RESULTS: Physicians have very high (WISN ratio 0.43) and nurse high (WISN ratio 0.69) workload pressure. 50% of nurses’ time are occupied with support activities, instead of nursing care. There are different workloads among the same staff category in different health facilities. If only the vacant posts are filled, the workload is reduced. In fact, sanctioned number of physicians and nurses is more than actual need. CONCLUSIONS: It is evident that high workload pressures prevail for physicians and nurses at the UpHCs. This reveals high demand for these health workforces in the respective subdistricts. WISN method can aid the policy-makers in optimising utilisation of existing human resources. Therefore, the government should adopt flexible health workforce planning and recruitment policy to manage the patient load and disease burden. WISN should, thus, be incorporated as a planning tool for health managers. There should be a regular review of health workforce management decisions, and these should be amended based on periodic reviews. |
format | Online Article Text |
id | pubmed-7045064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-70450642020-03-09 Assessment of staffing needs for physicians and nurses at Upazila health complexes in Bangladesh using WHO workload indicators of staffing need (WISN) method Joarder, Taufique Tune, Samiun Nazrin Bente Kamal Nuruzzaman, Md Alam, Sabina de Oliveira Cruz, Valeria Zapata, Tomas BMJ Open Health Services Research OBJECTIVE: This study aimed to assess the current workload and staffing need of physicians and nurses for delivering optimum healthcare services at the Upazila Health Complexes (UpHCs) in Bangladesh. DESIGN: Mixed-methods, combining qualitative (eg, document reviews, key informant interviews, in-depth interviews, observations) and quantitative methods (time-motion survey). SETTING: Study was conducted in 24 health facilities of Bangladesh. However, UpHCs being the nucleus of primary healthcare in Bangladesh, this manuscript limits itself to reporting the findings from the providers at four UpHCs under this project. PARTICIPANTS: 18 physicians and 51 nurses, males and females. PRIMARY OUTCOME MEASURES: Workload components were defined based on inputs from five experts, refined by nine service providers. Using WHO Workload Indicator of Staffing Need (WISN) software, standard workload, category allowance factor, individual allowance factor, total required number of staff, WISN difference and WISN ratio were calculated. RESULTS: Physicians have very high (WISN ratio 0.43) and nurse high (WISN ratio 0.69) workload pressure. 50% of nurses’ time are occupied with support activities, instead of nursing care. There are different workloads among the same staff category in different health facilities. If only the vacant posts are filled, the workload is reduced. In fact, sanctioned number of physicians and nurses is more than actual need. CONCLUSIONS: It is evident that high workload pressures prevail for physicians and nurses at the UpHCs. This reveals high demand for these health workforces in the respective subdistricts. WISN method can aid the policy-makers in optimising utilisation of existing human resources. Therefore, the government should adopt flexible health workforce planning and recruitment policy to manage the patient load and disease burden. WISN should, thus, be incorporated as a planning tool for health managers. There should be a regular review of health workforce management decisions, and these should be amended based on periodic reviews. BMJ Publishing Group 2020-02-13 /pmc/articles/PMC7045064/ /pubmed/32060164 http://dx.doi.org/10.1136/bmjopen-2019-035183 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Health Services Research Joarder, Taufique Tune, Samiun Nazrin Bente Kamal Nuruzzaman, Md Alam, Sabina de Oliveira Cruz, Valeria Zapata, Tomas Assessment of staffing needs for physicians and nurses at Upazila health complexes in Bangladesh using WHO workload indicators of staffing need (WISN) method |
title | Assessment of staffing needs for physicians and nurses at Upazila health complexes in Bangladesh using WHO workload indicators of staffing need (WISN) method |
title_full | Assessment of staffing needs for physicians and nurses at Upazila health complexes in Bangladesh using WHO workload indicators of staffing need (WISN) method |
title_fullStr | Assessment of staffing needs for physicians and nurses at Upazila health complexes in Bangladesh using WHO workload indicators of staffing need (WISN) method |
title_full_unstemmed | Assessment of staffing needs for physicians and nurses at Upazila health complexes in Bangladesh using WHO workload indicators of staffing need (WISN) method |
title_short | Assessment of staffing needs for physicians and nurses at Upazila health complexes in Bangladesh using WHO workload indicators of staffing need (WISN) method |
title_sort | assessment of staffing needs for physicians and nurses at upazila health complexes in bangladesh using who workload indicators of staffing need (wisn) method |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045064/ https://www.ncbi.nlm.nih.gov/pubmed/32060164 http://dx.doi.org/10.1136/bmjopen-2019-035183 |
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