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dc.contributor.authorJoarder, Taufique
dc.contributor.authorBente Kamal Tune, Samiun Nazrin
dc.contributor.authorNuruzzaman, Md
dc.contributor.authorAlam, Sabina
dc.contributor.authorde Oliveira Cruz, Valeria
dc.contributor.authorZapata, Tomas
dc.date.accessioned2022-05-09T04:38:01Z
dc.date.available2022-05-09T04:38:01Z
dc.date.copyright2020
dc.date.issued2020-02-13
dc.identifier.citationJoarder, T., Tune, S. N. B. K., Nuruzzaman, M., Alam, S., De Oliveira Cruz, V., & Zapata, T. (2020). Assessment of staffing needs for physicians and nurses at upazila health complexes in Bangladesh using WHO workload indicators of staffing need (WISN) method. BMJ Open, 10(2) doi:10.1136/bmjopen-2019-035183en_US
dc.identifier.urihttp://hdl.handle.net/10361/16578
dc.descriptionThis article was published in The BMJ Open [ © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.] and the definite version is available at: http://dx.doi.org/10.1136/bmjopen-2019-035183 The Journal's website is at: https://bmjopen.bmj.com/content/10/2/e035183en_US
dc.description.abstractObjective 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 (timemotion 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.en_US
dc.language.isoen_USen_US
dc.publisherBMJ Journalsen_US
dc.relation.urihttps://bmjopen.bmj.com/content/10/2/e035183
dc.subjectHealth policyen_US
dc.subjectHealth services administration & managementen_US
dc.subjectHuman resource managementen_US
dc.subjectPublic healthen_US
dc.titleAssessment of staffing needs for physicians and nurses at Upazila health complexes in Bangladesh using WHO workload indicators of staffing need (WISN) methoden_US
dc.typeJournal Articleen_US
dc.description.versionPublished
dc.contributor.departmentBrac James P. Grant School of Public Health
dc.identifier.doihttp://dx.doi.org/10.1136/bmjopen-2019-035183
dc.relation.journalBMJ Open


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