z-logo
open-access-imgOpen Access
Modelling the Number of People per Physician, Nurse, and Midwives in Turkey in Terms of Reproductive Health Indicators
Author(s) -
Asya Banu BABAOĞLU,
Mustafa Agâh Tekindal
Publication year - 2021
Publication title -
inquiry the journal of health care organization provision and financing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.792
H-Index - 43
eISSN - 1945-7243
pISSN - 0046-9580
DOI - 10.1177/00469580211020873
Subject(s) - workforce , reproductive health , nursing , exponential smoothing , distribution (mathematics) , workforce planning , medicine , psychology , family medicine , environmental health , population , statistics , economic growth , mathematical analysis , mathematics , economics
Health worker density and distribution is critical for a strong health system and therefore has been listed among 1 of the Sustainable Development Goal (SDG) targets. The present study aims to model the number of persons per physician, nurse, and midwives in Turkey until 2030 and to make estimates for better reproductive health outcomes. We used time series of people per physician, nurse, and midwife between the years 1928 and 2018. Estimates were obtained via the Box-Jenkins and Brown Exponential Smoothing Methods. The results of this study showed that both designed models provide a high diagnostic value to predict the number of person per doctor, nurse, and midwives. The goodness of fit criteria for both models was statistically significant. The results predict a slight decrease in the number of people per physician, a more significant decrease in the number of people per nurse, but no decrease in the number of people per midwives until 2030. We argue that there will not be much progress in reproductive health indicators if the health workforce progresses with the same trend in the coming years. We recommend decision-makers to re-consider the health workforce planning, especially in terms of the number of the person per nurses, for better reproductive health outcomes.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom