Repository logo
  • English
  • Deutsch
  • Français
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. CRIS
  3. Publication
  4. Bringing greater transparency to health workforce planning in Tajikistan: using the WISN approach
 

Bringing greater transparency to health workforce planning in Tajikistan: using the WISN approach

URI
https://arbor.bfh.ch/handle/arbor/41062
Version
Published
Date Issued
2019-11
Author(s)
Prytherch, H
Kasymova, Z
Lechthaler, Filippo  
Kiefer, S
Yarbaeva, S
Hojimatova, Z
Farrukhzoda, A
Wyss, K
Type
Article
Language
English
Abstract
Background
For many countries, overcoming problems related to human resources is critical for progress towards Universal Health Coverage. Planning the workforce means to make decisions on required number, qualification and distribution of health workers. In Tajikistan, despite significant reforms, the health workforce is unequally distributed with physicians being mainly specialized and concentrated in urban areas.
Description
Using the Tajik case, we present a first comprehensive assessment of the Primary Health Care (PHC) staffing situation in a Central Asian setting applying and critically discussing the Workload Indicators of Staffing Need (WISN) method developed by the World Health Organization. Staffing requirements were derived using annual service statistics, obtained from a re-count of monthly routine data from registration books at facility level in the year 2016. Available health cadres in PHC at district and facility level were compared to the according staffing needs. Sensitivity analysis was performed to test the robustness of the predictions, and to identify the main contributors to uncertainty in the predicted staff requirements.
Results
For doctors performing general tasks in the PHC, there is currently an excess of full time equivalents. Moreover, health centres are overstaffed in terms of nurse positions. If the various speciality doctors currently working at rural health centres are not included, there is a shortage of family doctors in place. Sensitivity analysis revealed that staffing requirements in the PHC sector in Tajikistan are most importantly influenced by antenatal care visits.
Lessons
The present study concludes that there is an oversupply of doctors and nurses at PHC and a shortage of family doctors working at the level of health centres. Consequently, a more rational health workforce planning based on well-grounded methodology such as WISN has potential to contribute to more efficient and effective health service delivery in Tajikistan.
Key messages
Countries shifting towards a family medicine model face challenges like an oversupply of specialists performing general medical tasks and a lack of general/family doctors in the transition phase.
To identify staffing requirements a transparent and reproducible approach, such as the WISN methodology, is required to steer future staffing needs and possible re-training of current staff.
Subjects
RA0421 Public health. Hygiene. Preventive Medicine
DOI
10.24451/arbor.9091
https://doi.org/10.24451/arbor.9091
Publisher DOI
10.1093/eurpub/ckz185.616
Journal
European Journal of Public Health
ISSN
1101-1262
Publisher URL
https://academic.oup.com/eurpub/article/29/Supplement_4/ckz185.616/5624582
Organization
Ressourceneffiziente landwirtschaftliche Produktionssysteme  
HAFL Institut Hugo P. Cecchini  
Agronomie  
Volume
29
Issue
Supple
Publisher
Oxford University Press
Submitter
LechthalerF
Citation apa
Prytherch, H., Kasymova, Z., Lechthaler, F., Kiefer, S., Yarbaeva, S., Hojimatova, Z., Farrukhzoda, A., & Wyss, K. (2019). Bringing greater transparency to health workforce planning in Tajikistan: using the WISN approach. In European Journal of Public Health (Vol. 29, Issue Supple). Oxford University Press. https://doi.org/10.24451/arbor.9091
File(s)
Loading...
Thumbnail Image

open access

Name

ckz185.616.pdf

License
Publisher Natlic
Version
published
Size

72.23 KB

Format

Adobe PDF

Checksum (MD5)

c5f1f93ac02ac52afe3834cc65ccfe8f

About ARBOR

Built with DSpace-CRIS software - System hosted and mantained by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
  • Our institution