Determination of Health Workforce Need Based on Workload: A Study on Dentist in Turkey

Year 2024, Volume: 25 Issue: 1, 63 - 69, 05.07.2024

Fatih Durur , Gamze Kutlu Yasemin Akbulut

https://doi.org/10.69601/meandrosmdj.1508665

Abstract

Objective: This study aims to determine the need for dentists staffing for oral and dental health services according to the workload indicators of staffing need (WISN) method developed by the World Health Organization.

Materials and Methods: The methodology and formulas in the WISN were used to analyze the data. Two different sources were utilized in collecting the data: the number of dentists and the number of services produced were retrieved from the report published by the MoH, and the activities generating workload and the average duration of such activities were obtained from the interviews with the specialists. The oral and dental institutions serving as affiliated to the MoH in Turkey were selected in the study.

Results: The WISN ratio was calculated as 0.978 in oral and dental health centers, 0.945 in oral and dental health hospitals, 1.250 in public hospitals, and 1.014 for all institutions, respectively. These results revealed that the total number of dentists was more than the actual workload-based staffing need (n=122), but the dentists were not evenly distributed among the three institutions. It was found that there was a surplus of dentist staffing in public hospitals where the workload was low (n=344).

Conclusion: Instead of staffing a standard number of dentists in health institutions, it should be ensured to use workload-based planning methods, to staff dentists in institutions with high workload, and to strengthen evaluation and monitoring activities. The findings of this research can be used in planning the number of students to be enrolled in the faculties of dentistry.

Keywords

Dentist, health policy, oral health, planning.

References

• 1. FDI World Dental Federation, Oral Health Worldwide; 2015. Available from: URL: (https://www.fdiworlddental.org/sites/default/files/media/documents/2015_wohd-whitepaper-oral_health_worldwide.pdf).
• 2. Da Silva OM, Glick M. FDI Vision 2020: a blueprint for the profession. Int Dent J. 2012; 62: 277.
• 3. Williams DM, Mossey PA, Mathur MR. Leadership in global oral health. J Dent. 2019; 87: 49-54.
• 4. Helderman WVP, Mikx F, Nijmegen GJT, Hoang TH, Pham HL. Workforce requirements for a primary oral health care system. Int Dent J. 2000; 50: 371-377.
• 5. Nash D, Ruotoistenmäki J, Argentieri A, Barna S, Behbehani J, Berthold P, et al. Profile of the oral healthcare team in countries with emerging economies. Eur J Dent Educ. 2008; 12: 111-119.
• 6. Tatar M, Mollahaliloglu S, Sahin B, Aydın S, Maresso A, Hernández-Quevedo C. Turkey: Health system review. Health Syst Transit. 2011; 13: 1-211.
• 7. General Directorate of Public Hospitals. Oral and Dental Health Service Indicators; 2018. Available from: URL: (https://dosyamerkez.saglik.gov.tr/Eklenti/23497,2017-yili-agiz-ve-dis-sagligi-hizmet-bilgileri2pdf.pdf?0).
• 8. Turkish Dental Association. Manpower Planning Today to Avoid a Crisis in 2025; 2016. Available from: URL: (http://www.tdb.org.tr/tdb/v2/ekler/InsanGucuPlanlamasi2017_ (GUNCEL)11.10.2016.pdf )
• 9. Ministry of Health (MoH), General Directorate of Health Information Systems. Health Statistics Yearbook 2018.
• 10. OECD Health Statistics; 2018. Available from: URL: (https://stats.oecd.org/index.aspx? DataSetCode=HEALTH_STAT accessed 2019 Sept 5).
• 11. Goodman HS, Weyant RJ. Dental health personnel planning: a review of the literature. J Public Health Dent. 1990; 50: 48-63.
• 12. Gallagher JE, Hutchinson L. Analysis of human resources for oral health globally: inequitable distribution. Int Dent J. 2018; 68: 183-189.
• 13. Ahern S, Woods N, Kalmus O, Birch S, Listl S. Needs-based planning for the oral health workforce-development and application of a simulation model. Hum Resource Health. 2019: 17: 2-9.
• 14. FDI World Dental Federation. Oral health workforce planning for developed countries. Int Dent J. 2005; 55: 42-44.
• 15. Huang CS, Cher TL, Lin CP, Wu KM. Projection of the dental workforce from 2011 to 2020, based on the actual workload of 6762 dentists in 2010 in Taiwan. J Formos Med Assoc. 2013; 112: 527-536.
• 16. Workload Indicators of Staffing Need: Users Manuel. Geneva: World Health Organization. 2010.
• 17. Global strategy on human resources for health: Workforce 2030. Geneva: World Health Organization. 2016.
• 18. Bonfim D, Laus AM, Leal AE, Togeiro Fugulin FM, Gaidzinski RR. Application of the Workload Indicators of Staffing Need method to predict nursing human resources at a Family Health Service. Rev Lat Am Enfermagem. 2016; 24: e2683.
• 19. Gialama F, Saridi M, Prezerakos P, Pollalis Y, Contiades X, Souliotis K. The implementation process of the Workload Indicators Staffing Need (WISN) method by WHO in determining midwifery staff requirements in Greek Hospitals. Eur J Midwifery. 2019; 3: 1-13.
• 20. Joarder T, Tune SNBK, Nuruzzaman M, Alam S, Cruz VO, Zapata T. 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. 2020; 10:e035183.
• 21. Kayani NS, Khalid SN, Kanwal SA. A study to assess the workload of lady health workers in Khanpur UC, Pakistan by applying WHO's WISN method. Athens J Health. 2016; 3: 65-78.
• 22. McQuide PA, Kolehmainen-Aitken RL, Forster N. Applying the workload indicators of staffing need (WISN) method in Namibia: challenges and implications for human resources for health policy. Hum Resour Health .2013; 11: 64.
• 23. Namaganda G, Oketcho V, Maniple E, Viadro C. Making the transition to workload-based staffing: using the Workload Indicators of Staffing Need method in Uganda. Hum Resour Health. 2015; 13: 89.
• 24. Ozkan S, Saygili M, Aba G. Dogumhanede calisan ebeler icin isyuku analizine dayali insangücü planlamasi. ACU Sağlık Bil Derg. 2019; 3: 413-421.
• 25. Ravhengani NM, Mtshali NG. Implementing Workload Indicators of Staffing Need (WISN) Tool to Determine Human Resources in Primary Health Care Settings in South Africa: A Concept Analysis. IOSR Journal of Nursing and Health Science (IOSR-JNHS). 2017; 6:65-73.
• 26. Uner S, Usubütün A. Is Yüküne Dayalı Personel Ihtiyacı Belirleme Yöntemi ile Bir Ihtiyac Belirleme Calismasi: Türkiye’de Patoloji Uzmanlarinin Yeterliligi ve Dagilimlari Turkiye Klinikleri. J Med Sci. 2012; 32: 715-725.
• 27. Birch S, Kephart G, Murphy GT, O’Brien-Pallas L, Alder R, MacKenzie A. Human Resources Planning and the Production of Health: A Needs-Based Analytical Framework. Can Public Policy. 2007; 33: 1-16.
• 28. Rafiei S, Mohebbifar R, Hashemi F, Ranjbar Ezzatabadi M, Farzianpour F. Approaches in Health Human Resource Forecasting: A Roadmap for Improvement. Electron Physician. 2016; 8: 2911-2917.
• 29. Ozkan S, Uydaci M. Turkiye’de Saglik Sektöründe Insan Kaynaklari Sisteminin Incelenmesi. Marmara Universitesi Oneri Dergisi. 2015; 11: 221-238.
• 30. Yamalik N, Ensaldo‐Carrasco E, Cavalle E, Kell K. Oral health workforce planning part 2: figures, determinants and trends in a sample of World Dental Federation member countries. Int Dent J. 2014; 64: 117-126.
• 31. Vundavalli S. Dental manpower planning in India: current scenario and future projections for the year 2020 Int Dent J. 2014; 64: 62-67.
• 32. Dagli N, Dagli R. Increasing unemployment among Indian dental graduates-High time to control dental manpower. J Int Oral Health. 2015; 7: 1-2.
• 33. Yadav S, Rawal G. The current status of dental graduates in India. Pan Afr Med J. 2016; 23:1-4.
• 34. Doughan B, Kassak K, Bourgeois D. Planning dental manpower in Lebanon: scenarios for the year 2015. East Mediterr Health J. 2005; 11: 943-951.
• 35. AlBaker AM, Al-Ruthia YSH, Al-Shehri M, Alshuwairikh S. The characteristics and distribution of dentist workforce in Saudi Arabia: a descriptive cross-sectional study. Saudi Pharm J. 2017; 25: 1208-1216.
• 36. Boit JM, Kipkoech LC. Liberalization of higher education in Kenya: Challenges and prospects. IJARPED. 2012; 1: 33-41.
• 37. Nabaasa GL, Ndaita J, Moses K. Liberalisation of university education and the quality of teaching approaches a perspective of public and private university Education in Eastern Uganda. Int. J. Educ. Res. 2019; 7: 105-118.
• 38. Wilson, NHF, Verma M, Nanda A. Leadership in recruiting and retaining talent in academic dentistry. J Den.t 2019; 87: 32-35.