DESIRABILITY OPTIMIZATION BASED ON THE POISSON REGRESSION MODEL: ESTIMATION OF THE OPTIMUM DENTAL WORKFORCE PLANNING
DESIRABILITY OPTIMIZATION BASED ON THE POISSON REGRESSION MODEL: ESTIMATION OF THE OPTIMUM DENTAL WORKFORCE PLANNING
Aim: This study aims to estimate the optimum number of dentists needed by determining the social and
economic variables that affect the dental workforce planning in Turkey.
Methods: A desirability optimization model based on the Poisson regression model was used to evaluate
the importance of the variables of this study and to calculate the optimum values of the variables. The data
used in the study cover the years 1960-2018. Population (??), gross domestic product per capita (???), life
expectancy (???), and literacy rate (???) were considered as input variables affecting the dental workforce
(??).
Results: The values of deviance R
2
, adjusted R
2
, and Akaike Information Criterion (AIC) were computed
as 0.9941, 0.9941, and 960.11, respectively, which confirm the validity of the Poisson statistical test. The
dual mechanism reliability was obtained by adhering to the 'what-if' perspective and desirability values of
the top-ten optimum values of the dental workforce.
Conclusion: The results of the study show that social and economic determinants play an important role in
the estimated dental workforce planning assessment required for oral and dental health in Turkey
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regression model with applications to health data. PLOS ONE, 12(6), e0178153.
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- Jenarthanan, M. P., & Jeyapaul, R. (2018). Optimisation of machining parameters on milling of
GFRP composites by desirability function analysis using Taguchi method. International
Journal of Engineering, Science and Technology, 5(4), 22–36.
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- Knevel, R., Gussy, M., & Farmer, J. (2017). Exploratory scoping of the literature on factors that
influence oral health workforce planning and management in developing countries.
International Journal of Dental Hygiene, 15(2), 95–105. https://doi.org/10.1111/idh.12260
- Mihaylova, B., Briggs, A., O’Hagan, A., & Thompson, S. G. (2011). Review of Statistical Methods Atalan, A., & Donmez, C. C. (2020). DEVELOPING OPTIMIZATION MODELS TO EVLUATE
HEALTHCARE SYSTEMS. Sigma Journal of Engineering and Natural Sciences, 38(2),
853–873.
- Atalan, A., & Dönmez, C. C. (2020). Optimizing experimental simulation design for the
emergency departments. Brazilian Journal of Operations & Production Management,
17(4), 1–13. https://doi.org/10.14488/BJOPM.2020.026
- Ayaz Atalan, Y., Tayanç, M., Erkan, K., & Atalan, A. (2020). Development of Nonlinear
Optimization Models for Wind Power Plants Using Box-Behnken Design of Experiment:
A Case Study for Turkey. Sustainability, 12(15), 6017.
https://doi.org/10.3390/su12156017
- Dement, J. M., Epling, C., Østbye, T., Pompeii, L. A., & Hunt, D. L. (2004). Blood and body fluid
exposure risks among health care workers: Results from the Duke Health and Safety
Surveillance System. American Journal of Industrial Medicine, 46(6), 637–648.
https://doi.org/10.1002/ajim.20106
- Eaton, K. A. (2020). Oral healthcare workforce planning in post-Brexit Britain. British Dental
Journal, 228(10), 750–752. https://doi.org/10.1038/s41415-020-1579-6
- Gallagher, J. E., Manickam, S., & Wilson, N. H. (2015). Sultanate of Oman: building a dental
workforce. Human Resources for Health, 13(1), 50. https://doi.org/10.1186/s12960-015-
0037-z
- Gayawan, E. (2014). A Poisson Regression Model to Examine Spatial Patterns in Antenatal Care
Utilisation in Nigeria. Population, Space and Place, 20(6), 485–497.
https://doi.org/10.1002/psp.1775
- GEBSKI, V., ELLINGSON, K., EDWARDS, J., JERNIGAN, J., & KLEINBAUM, D. (2012).
Modelling interrupted time series to evaluate prevention and control of infection in
healthcare. Epidemiology and Infection, 140(12), 2131–2141.
https://doi.org/10.1017/S0950268812000179
- Harper, P., Kleinman, E., Gallagher, J., & Knight, V. (2013). Cost‐effective workforce planning:
optimising the dental team skill‐mix for England. Journal of Enterprise Information
Management, 26(1/2), 91–108. https://doi.org/10.1108/17410391311289569
- Hung, M., Xu, J., Lauren, E., Voss, M. W., Rosales, M. N., Su, W., Ruiz-Negrón, B., He, Y., Li,
- W., & Licari, F. W. (2019). Development of a recommender system for dental care using
machine learning. SN Applied Sciences, 1(7), 785. https://doi.org/10.1007/s42452-019-
0795-7
- Islam, M. A., & Chowdhury, R. I. (2017). A generalized right truncated bivariate Poisson
regression model with applications to health data. PLOS ONE, 12(6), e0178153.
https://doi.org/10.1371/journal.pone.0178153
- Jenarthanan, M. P., & Jeyapaul, R. (2018). Optimisation of machining parameters on milling of
GFRP composites by desirability function analysis using Taguchi method. International
Journal of Engineering, Science and Technology, 5(4), 22–36.
https://doi.org/10.4314/ijest.v5i4.3
- Knevel, R., Gussy, M., & Farmer, J. (2017). Exploratory scoping of the literature on factors that
influence oral health workforce planning and management in developing countries.
International Journal of Dental Hygiene, 15(2), 95–105. https://doi.org/10.1111/idh.12260
- Mihaylova, B., Briggs, A., O’Hagan, A., & Thompson, S. G. (2011). Review of Statistical Methods
Atalan, A., & Donmez, C. C. (2020). DEVELOPING OPTIMIZATION MODELS TO EVLUATE
HEALTHCARE SYSTEMS. Sigma Journal of Engineering and Natural Sciences, 38(2),
853–873.
- Atalan, A., & Dönmez, C. C. (2020). Optimizing experimental simulation design for the
emergency departments. Brazilian Journal of Operations & Production Management,
17(4), 1–13. https://doi.org/10.14488/BJOPM.2020.026
- Ayaz Atalan, Y., Tayanç, M., Erkan, K., & Atalan, A. (2020). Development of Nonlinear
Optimization Models for Wind Power Plants Using Box-Behnken Design of Experiment:
A Case Study for Turkey. Sustainability, 12(15), 6017.
https://doi.org/10.3390/su12156017
- Dement, J. M., Epling, C., Østbye, T., Pompeii, L. A., & Hunt, D. L. (2004). Blood and body fluid
exposure risks among health care workers: Results from the Duke Health and Safety
Surveillance System. American Journal of Industrial Medicine, 46(6), 637–648.
https://doi.org/10.1002/ajim.20106
- Eaton, K. A. (2020). Oral healthcare workforce planning in post-Brexit Britain. British Dental
Journal, 228(10), 750–752. https://doi.org/10.1038/s41415-020-1579-6
- Gallagher, J. E., Manickam, S., & Wilson, N. H. (2015). Sultanate of Oman: building a dental
workforce. Human Resources for Health, 13(1), 50. https://doi.org/10.1186/s12960-015-
0037-z
- Gayawan, E. (2014). A Poisson Regression Model to Examine Spatial Patterns in Antenatal Care
Utilisation in Nigeria. Population, Space and Place, 20(6), 485–497.
https://doi.org/10.1002/psp.1775
GEBSKI, V., ELLINGSON, K., EDWARDS, J., JERNIGAN, J., & KLEINBAUM, D. (2012).
- Modelling interrupted time series to evaluate prevention and control of infection in
healthcare. Epidemiology and Infection, 140(12), 2131–2141.
https://doi.org/10.1017/S0950268812000179
- Harper, P., Kleinman, E., Gallagher, J., & Knight, V. (2013). Cost‐effective workforce planning:
optimising the dental team skill‐mix for England. Journal of Enterprise Information
Management, 26(1/2), 91–108. https://doi.org/10.1108/17410391311289569
Hung, M., Xu, J., Lauren, E., Voss, M. W., Rosales, M. N., Su, W., Ruiz-Negrón, B., He, Y., Li,
- W., & Licari, F. W. (2019). Development of a recommender system for dental care using
machine learning. SN Applied Sciences, 1(7), 785. https://doi.org/10.1007/s42452-019-
0795-7
- Islam, M. A., & Chowdhury, R. I. (2017). A generalized right truncated bivariate Poisson
regression model with applications to health data. PLOS ONE, 12(6), e0178153.
https://doi.org/10.1371/journal.pone.0178153
- Jenarthanan, M. P., & Jeyapaul, R. (2018). Optimisation of machining parameters on milling of
GFRP composites by desirability function analysis using Taguchi method. International
Journal of Engineering, Science and Technology, 5(4), 22–36.
https://doi.org/10.4314/ijest.v5i4.3
- Knevel, R., Gussy, M., & Farmer, J. (2017). Exploratory scoping of the literature on factors that
influence oral health workforce planning and management in developing countries.
International Journal of Dental Hygiene, 15(2), 95–105. https://doi.org/10.1111/idh.12260
- Mihaylova, B., Briggs, A., O’Hagan, A., & Thompson, S. G. (2011). Review of Statistical Methods