Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Joarder, Taufique, Tune, Samiun Nazrin Bente Kamal, Nuruzzaman, Md, Alam, Sabina, de Oliveira Cruz, Valeria, Zapata, Tomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
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
_version_ 1783501702354173952
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
work_keys_str_mv AT joardertaufique assessmentofstaffingneedsforphysiciansandnursesatupazilahealthcomplexesinbangladeshusingwhoworkloadindicatorsofstaffingneedwisnmethod
AT tunesamiunnazrinbentekamal assessmentofstaffingneedsforphysiciansandnursesatupazilahealthcomplexesinbangladeshusingwhoworkloadindicatorsofstaffingneedwisnmethod
AT nuruzzamanmd assessmentofstaffingneedsforphysiciansandnursesatupazilahealthcomplexesinbangladeshusingwhoworkloadindicatorsofstaffingneedwisnmethod
AT alamsabina assessmentofstaffingneedsforphysiciansandnursesatupazilahealthcomplexesinbangladeshusingwhoworkloadindicatorsofstaffingneedwisnmethod
AT deoliveiracruzvaleria assessmentofstaffingneedsforphysiciansandnursesatupazilahealthcomplexesinbangladeshusingwhoworkloadindicatorsofstaffingneedwisnmethod
AT zapatatomas assessmentofstaffingneedsforphysiciansandnursesatupazilahealthcomplexesinbangladeshusingwhoworkloadindicatorsofstaffingneedwisnmethod