LinkedIn

 آمار

تعداد نشریات20
تعداد شماره‌ها1,089
تعداد مقالات9,995
تعداد مشاهده مقاله26,492,805
تعداد دریافت فایل اصل مقاله7,294,501
Bosak, Somaieh, Yazdani, Shahram, Ayati, Mohammad Hossein. (1402). Approaches and Components of Health Workforce Planning Models: A Systematic Review. سامانه مدیریت نشریات علمی, 48(4), 358-369. doi: 10.30476/ijms.2022.94662.2600
Somaieh Bosak; Shahram Yazdani; Mohammad Hossein Ayati. "Approaches and Components of Health Workforce Planning Models: A Systematic Review". سامانه مدیریت نشریات علمی, 48, 4, 1402, 358-369. doi: 10.30476/ijms.2022.94662.2600
Bosak, Somaieh, Yazdani, Shahram, Ayati, Mohammad Hossein. (1402). 'Approaches and Components of Health Workforce Planning Models: A Systematic Review', سامانه مدیریت نشریات علمی, 48(4), pp. 358-369. doi: 10.30476/ijms.2022.94662.2600
Bosak, Somaieh, Yazdani, Shahram, Ayati, Mohammad Hossein. Approaches and Components of Health Workforce Planning Models: A Systematic Review. سامانه مدیریت نشریات علمی, 1402; 48(4): 358-369. doi: 10.30476/ijms.2022.94662.2600

Approaches and Components of Health Workforce Planning Models: A Systematic Review

Iranian Journal of Medical Sciences
مقاله 2، دوره 48، شماره 4، مهر 2023، صفحه 358-369    اصل مقاله (442.96 K)
نوع مقاله: Review Article
شناسه دیجیتال (DOI): 10.30476/ijms.2022.94662.2600
نویسندگان
Somaieh Bosak1؛ Shahram Yazdani* 1؛ Mohammad Hossein Ayati2
1Department of Medical Education, School of Virtual Medical Education and Management, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2Department of Traditional Medicine, School of Traditional Medicine, Tehran University of Medical Sciences, Tehran, Iran
چکیده
Background: To date, there is still no uniformity in forecasting models for health workforce planning (HWFP). Different countries use various HWFP models, some of which are context-specific. The objective of this systematic review is to determine approaches and components of HWFP models.
Methods: A systematic review of studies published in English and Persian between 2004 and 2021 was performed by searching PubMed Central, MEDLINE, Web of Science, Scopus, Eric, and Elmnet databases. Articles that assessed HWFP models, focused on health service delivery, used input-output models, and a clear formulation process were included. Articles that scored ≥20 points on the “strengthening the reporting of observational studies in epidemiology” checklist were considered of acceptable quality for inclusion.
Results: Twenty articles were included for qualitative synthesis based on the inclusion and exclusion criteria. Most studies used the mixed method approach “supply and demand”, whereas target- and needs-based approaches were used less frequently. The number of components used to estimate supply, demand, needs, and targets were 42, 32, 11, and 6, respectively. In addition, several unique factors used in the various HWFP models were identified.
Conclusion: Different approaches are used in HWFP models, which is indicative of the lack of consensus on this topic. High diversity in the identified factors is related to the approach used and the context in which the model is applied.
کلیدواژه‌ها
Health workforce؛ Health manpower؛ Health planning؛ Labor supply؛ Health services needs and demand
سایر فایل های مرتبط با مقاله
مراجع
  1. Reilly P. Human Resource Planning: An Introduction. Report 312: ERIC; 1996.
  2. Sinclair A. Workforce planning: A literature review: Institute for Employment Studies; 2004. p. 1-18.
  3. Adano U. Collection and analysis of human resources for health (HRH) strategic plans. Chapel Hill: Capacity Project. 2006.
  4. Organization WH. The world health report 2006: working together for health. Geneva: World Health Organization; 2006.
  5. Doosty F, Maleki MR, Yarmohammadian MH. An investigation on workload indicator of staffing need: A scoping review. J Educ Health Promot. 2019;8:22. doi: 10.4103/jehp.jehp_220_18. PubMed PMID: 30815493; PubMed Central PMCID: PMCPMC6378811.
  6. Roberfroid D, Leonard C, Stordeur S. Physician supply forecast: better than peering in a crystal ball? Hum Resour Health. 2009;7:10. doi: 10.1186/1478-4491-7-10. PubMed PMID: 19216772; PubMed Central PMCID: PMCPMC2671486.
  7. Ono T, Lafortune G, Schoenstein M. Health workforce planning in OECD countries: a review of 26 projection models from 18 countries. OECD iLibrary. 2013.
  8. Rafiei S, Abdollahzade S, Hashemi F. Health manpower forecasting: A systematic review for models and approaches. Bangladesh Journal of Medical Science. 2019;18:458-72. doi: 10.3329/bjms.v18i3.41612.
  9. Klarman HE. Economic Aspects of Projecting Requirements for Health Manpower: A Review Article. The Journal of Human Resources. 1969;4:360-76. doi: 10.2307/144680.
  10. Markham B, Birch S. Back to the future: a framework for estimating health-care human resource requirements. Can J Nurs Adm. 1997;10:7-23. PubMed PMID: 9086964.
  11. Committee AHWA. Nursing Workforce Planning in Australia: A Guide to the Process and Methods Used by the the Australian Health Workforce Advisory Committee: Australian Health Workforce Advisory Committee; 2004.
  12. Keet MP, Henley LD, Power HM, Heese HD. Medical manpower--South African situation models for planning and recommendations. S Afr Med J. 1990;78:591-7. PubMed PMID: 2247793.
  13. Wendt C. Mapping European healthcare systems: a comparative analysis of financing, service provision and access to healthcare. Journal of European Social Policy. 2009;19:432-45. doi: 10.1177/0958928709344247.
  14. Evashwick C, Rowe G, Diehr P, Branch L. Factors explaining the use of health care services by the elderly. Health Serv Res. 1984;19:357-82. PubMed PMID: 6746297; PubMed Central PMCID: PMCPMC1068819.
  15. Agerholm J, Bruce D, Ponce de Leon A, Burstrom B. Socioeconomic differences in healthcare utilization, with and without adjustment for need: an example from Stockholm, Sweden. Scand J Public Health. 2013;41:318-25. doi: 10.1177/1403494812473205. PubMed PMID: 23406653.
  16. Van der Heyden JH, Demarest S, Tafforeau J, Van Oyen H. Socio-economic differences in the utilisation of health services in Belgium. Health Policy. 2003;65:153-65. doi: 10.1016/s0168-8510(02)00213-0. PubMed PMID: 12849914.
  17. Hulka BS, Wheat JR. Patterns of utilization. The patient perspective. Med Care. 1985;23:438-60. doi: 10.1097/00005650-198505000-00009. PubMed PMID: 4010347.
  18. Machry RV, Tuchtenhagen S, Agostini BA, da Silva Teixeira CR, Piovesan C, Mendes FM, et al. Socioeconomic and psychosocial predictors of dental healthcare use among Brazilian preschool children. BMC Oral Health. 2013;13:60. doi: 10.1186/1472-6831-13-60. PubMed PMID: 24171711; PubMed Central PMCID: PMCPMC3816203.
  19. Park E, Kim J. Gender- and age-specific prevalence of metabolic syndrome among Korean adults: analysis of the fifth Korean National Health and Nutrition Examination Survey. J Cardiovasc Nurs. 2015;30:256-66. doi: 10.1097/JCN.0000000000000142. PubMed PMID: 24695075.
  20. Loh PT, Toh MP, Molina JA, Vathsala A. Ethnic disparity in prevalence of diabetic kidney disease in an Asian primary healthcare cluster. Nephrology (Carlton). 2015;20:216-23. doi: 10.1111/nep.12379. PubMed PMID: 25495003.
  21. Asghari Sarem A, Markazi Moghaddam N. Analysis of success crucial factors for human resource development at health sector. Quarterly Journal of Public Organizations Management. 2015;3:27-50.
  22. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339:b2700. doi: 10.1136/bmj.b2700. PubMed PMID: 19622552; PubMed Central PMCID: PMCPMC2714672.
  23. 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 Resour Health. 2019;17:55. doi: 10.1186/s12960-019-0394-0. PubMed PMID: 31307491; PubMed Central PMCID: PMCPMC6632192.
  24. von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. Int J Surg. 2014;12:1495-9. doi: 10.1016/j.ijsu.2014.07.013. PubMed PMID: 25046131.
  25. Bazyar M, Noori Hekmat S, Rafiei S, Mirzaei A, Otaghi M, Khorshidi A, et al. Supply-and-demand projections for the health workforce at a provincial level from 2015 to 2025 in Ilam, Iran. Proceedings of Singapore Healthcare. 2021;30:18-27. doi: 10.1177/2010105820943239.
  26. Chung SH, Jung DC, Yoon SN, Lee D. A dynamic forecasting model for nursing manpower requirements in the medical service industry. Service Business. 2010;4:225-36. doi: 10.1007/s11628-009-0092-4.
  27. Harper P, Kleinman E, Gallagher J, Knight V. Cost-effective workforce planning: optimising the dental team skill-mix for England. Journal of Enterprise Information Management. 2013;26:91-108. doi: 10.1108/17410391311289569.
  28. Juraschek SP, Zhang X, Ranganathan V, Lin VW. United States registered nurse workforce report card and shortage forecast. Am J Med Qual. 2012;27:241-9. doi: 10.1177/1062860611416634. PubMed PMID: 22102163.
  29. Koichubekov B, Kharin A, Sorokina M, Korshukov I, Omarkulov B. System dynamics modeling for general practitioner workforce forecasting in Kazakhstan. Ann Ig. 2021;33:242-53. doi: 10.7416/ai.2020.2391. PubMed PMID: 33258866.
  30. Landry MD, Hack LM, Coulson E, Freburger J, Johnson MP, Katz R, et al. Workforce Projections 2010-2020: Annual Supply and Demand Forecasting Models for Physical Therapists Across the United States. Phys Ther. 2016;96:71-80. doi: 10.2522/ptj.20150010. PubMed PMID: 26472298.
  31. Leerapan B, Teekasap P, Urwannachotima N, Jaichuen W, Chiangchaisakulthai K, Udomaksorn K, et al. Correction to: System dynamics modelling of health workforce planning to address future challenges of Thailand’s Universal Health Coverage. Hum Resour Health. 2021;19:44. doi: 10.1186/s12960-021-00589-w. PubMed PMID: 33794924; PubMed Central PMCID: PMCPMC8017842.
  32. Oh Y. The future prospects of supply and demand for urologists in Korea. Investig Clin Urol. 2017;58:400-8. doi: 10.4111/icu.2017.58.6.400. PubMed PMID: 29124238; PubMed Central PMCID: PMCPMC5671958.
  33. Vanderby SA, Carter MW, Latham T, Feindel C. Modelling the future of the Canadian cardiac surgery workforce using system dynamics. Journal of the Operational Research Society. 2014;65:1325-35. doi: 10.1057/jors.2013.77.
  34. Lodi A, Tubertini P, Grilli R, Mazzocchetti A, Ruozi C, Senese F. Needs forecast and fund allocation of medical specialty positions in Emilia-Romagna (Italy) by system dynamics and integer programming. Health Systems. 2016;5:213-36. doi: 10.1057/hs.2015.11.
  35. Nooney JG, Lacey LM. Validating HRSA’s nurse supply and demand models: a state-level perspective. Nurs Econ. 2007;25:270-8. PubMed PMID: 18080623.
  36. Fakhri A, Seyedin H, Daviaud E. A Combined Approach for Estimating Health Staff Requirements. Iran J Public Health. 2014;43:107-15. PubMed PMID: 26060687; PubMed Central PMCID: PMCPMC4454024.
  37. Gailey S, Bruckner TA, Lin TK, Liu JX, Alluhidan M, Alghaith T, et al. A needs-based methodology to project physicians and nurses to 2030: the case of the Kingdom of Saudi Arabia. Hum Resour Health. 2021;19:55. doi: 10.1186/s12960-021-00597-w. PubMed PMID: 33902617; PubMed Central PMCID: PMCPMC8072319.
  38. Tomblin Murphy G, Birch S, MacKenzie A, Alder R, Lethbridge L, Little L. Eliminating the shortage of registered nurses in Canada: an exercise in applied needs-based planning. Health Policy. 2012;105:192-202. doi: 10.1016/j.healthpol.2011.11.009. PubMed PMID: 22176731.
  39. Ghosh B, George C. Computer-assisted physician requirement planning. Journal of Health Management. 2006;8:157-66. doi: 10.1177/097206340500800112.
  40. Hooker RS, Muchow AN. Supply of physician assistants: 2013-2026. JAAPA. 2014;27:39-45. doi: 10.1097/01.JAA.0000443969.69352.4a. PubMed PMID: 24566343.
  41. Tjoa A, Kapihya M, Libetwa M, Schroder K, Scott C, Lee J, et al. Meeting human resources for health staffing goals by 2018: a quantitative analysis of policy options in Zambia. Hum Resour Health. 2010;8:15. doi: 10.1186/1478-4491-8-15. PubMed PMID: 20591143; PubMed Central PMCID: PMCPMC2914658.
  42. Seo S, Spetz J. Demand for temporary agency nurses and nursing shortages. Inquiry. 2013;50:216-28. doi: 10.1177/0046958013516583. PubMed PMID: 25117086.
  43. Azimi Naibi B, Mohebbifar R, Rafiei S. Estimating the number of required nurses in an emergency department of a hospital in Qazvin: Application of WISN method. Journal of Inflammatory Diseases. 2018;22:28-37. doi: 10.29252/qums.22.2.28.
  44. Sanaeifar E, Mohaghegh B, Moghri J, Tabatabaee SS. Human Resources Estimation of the Linear Accelerator Sector in Reza Radiotherapy-Oncology Center Based on Workload Indicator of Staffing Needs (WISN). Journal of Health Administration. 2021;24:23-33. doi: 10.52547/jha.24.1.23.
  45. Organization WH. Workload indicators of staffing need. Geneva: WHO; 2010.
  46. Tomblin Murphy G, Birch S, MacKenzie A, Bradish S, Elliott Rose A. A synthesis of recent analyses of human resources for health requirements and labour market dynamics in high-income OECD countries. Hum Resour Health. 2016;14:59. doi: 10.1186/s12960-016-0155-2. PubMed PMID: 27687611; PubMed Central PMCID: PMCPMC5043532.
  47. Tomblin Murphy G, MacKenzie A, Guy-Walker J, Walker C. Needs-based human resources for health planning in Jamaica: using simulation modelling to inform policy options for pharmacists in the public sector. Hum Resour Health. 2014;12:67. doi: 10.1186/1478-4491-12-67. PubMed PMID: 25481658; PubMed Central PMCID: PMCPMC4292822.
  48. Tomblin Murphy G, Gilbert JH, Rigby J. Integrating interprofessional education with needs-based health workforce planning to strengthen health systems. J Interprof Care. 2019;33:343-6. doi: 10.1080/13561820.2019.1638758. PubMed PMID: 31385731.
  49. Dreesch N, Dolea C, Dal Poz MR, Goubarev A, Adams O, Aregawi M, et al. An approach to estimating human resource requirements to achieve the Millennium Development Goals. Health Policy Plan. 2005;20:267-76. doi: 10.1093/heapol/czi036. PubMed PMID: 16076934.
  50. Goodman DC, Committee on Pediatric W. The pediatrician workforce: current status and future prospects. Pediatrics. 2005;116:e156-73. doi: 10.1542/peds.2005-0874. PubMed PMID: 15958663.
  51. Saraji MK, Sharifabadi AM. Application of system dynamics in forecasting: a systematic review. International Journal of Management, Accounting and Economics. 2017;4:1192-205.
  52. Lopes DF, Ramos AL, Castro EA. The health workforce demand: a systematic literature review. Cien Saude Colet. 2021;26:2431-48. doi: 10.1590/1413-81232021266.1.40842020. PubMed PMID: 34133624.
آمار
تعداد مشاهده مقاله: 750
تعداد دریافت فایل اصل مقاله: 439


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب