Rethinking health workforce planning: Capturing health system social and power interactions through actor analysis

Futures ◽  
2018 ◽  
Vol 99 ◽  
pp. 16-27 ◽  
Author(s):  
Gareth H. Rees ◽  
Peter Crampton ◽  
Robin Gauld ◽  
Stephen MacDonell
2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Paulo Ferrinho ◽  
Inês Fronteira ◽  
Tiago Correia ◽  
Clotilde Neves

Abstract Background In this article, we analyze data collected in the context of health workforce planning (HWFP) for Guiné-Bissau as part of the development of the third National Health Strategy, to study the relationship between educational achievement of parents and medical student characteristics and professional expectations. Methods Cross-sectional analytical study of all first-year medical students in Guiné-Bissau during December 2016. Results Our results confirm that the isolated effect of each parent is different as it is the combined education of both parents. Parental influence also seems to vary according to the sex of the offspring. The higher the education of the father, the stronger the urban background of the offspring. Level of education of parents is also important in relation to the decision to study medicine and the age of starting those studies. It is also an important influence as to expectation regarding place of future practice: the highest the educational level, particularly of the father, the highest the expectation for a future urban practice. Conclusions Our main interest in medical education is to study it as a health system intervention in order to contribute to health system’s strengthening in fragile states. This is discussed in the context of two frameworks: the labor market framework and WHO’s health system strengthening framework. Our data and that of others, recognize that household characteristics are important regarding future training and a future career in the health sector. This recognition should be integrated into HWFP frameworks.


Author(s):  
James Asamani ◽  
Christmal Christmals ◽  
Gerda Reitsma

Although the conceptual underpinnings of needs-based health workforce planning have developed over the last two decades, lingering gaps in empirical models and lack of open access tools have partly constrained its uptake in health workforce planning processes in countries. This paper presents an advanced empirical framework for the need-based approach to health workforce planning with an open-access simulation tool in Microsoft® Excel to facilitate real-life health workforce planning in countries. Two fundamental mathematical models are used to quantify the supply of, and need for, health professionals, respectively. The supply-side model is based on a stock-and-flow process, and the need-side model extents a previously published analytical frameworks using the population health needs-based approach. We integrate the supply and need analyses by comparing them to establish the gaps in both absolute and relative terms, and then explore their cost implications for health workforce policy and strategy. To illustrate its use, the model was used to simulate a real-life example using midwives and obstetricians/gynaecologists in the context of maternal and new-born care in Ghana. Sensitivity analysis showed that if a constant level of health was assumed (as in previous works), the need for health professionals could have been underestimated in the long-term. Towards universal health coverage, the findings reveal a need to adopt the need-based approach for HWF planning and to adjust HWF supply in line with population health needs.


2021 ◽  
Vol 34 (4) ◽  
pp. 19-30
Author(s):  
Gail Murphy ◽  
Adrian MacKenzie ◽  
Cindy MacQuarrie ◽  
Tara Sampalli ◽  
Janet Rigby

2017 ◽  
Vol 16 (06) ◽  
pp. 35-42
Author(s):  
Dr. Susanthironanki ◽  
Dr. Suhaskulkarni ◽  
Dr. B.Srikanth Reddy ◽  
Dr. Dolardoshi ◽  
Dr. Padma Reddy

Author(s):  
Denise D. Krause

Background: There are a variety of challenges to health workforce planning, but access to data is critical for effective evidence-based decision-making. Many agencies and organizations throughout Mississippi have been collecting quality health data for many years. Those data have historically resided in data silos and have not been readily shared. A strategy was developed to build and coordinate infrastructure, capacity, tools, and resources to facilitate health workforce and population health planning throughout the state.Objective: Realizing data as the foundation upon which to build, the primary objective was to develop the capacity to collect, store, maintain, visualize, and analyze data from a variety of disparate sources -- with the ultimate goal of improving access to health care.Specific aims were to:1)  build a centralized data repository and scalable informatics platform,2)  develop a data management solution for this platform and then,3)  derive value from this platform by facilitating data visualization and analysis.Methods: We designed and constructed a managed data lake for health data from disparate sources throughout the state of Mississippi. A data management application was developed to log and track all data sources, maps and geographies, and data marts.  With this informatics platform as a foundation, we use a variety of tools to visualize and analyze data.Results: Samples of data visualizations that aim to inform health planners and policymakers are presented. Many agencies and organizations throughout the state benefit from this platform.Conclusion: The overarching goal is that by providing timely, reliable information to stakeholders, Mississippians in general will experience improved access to quality care. 


1994 ◽  
Vol 24 (2) ◽  
pp. 42-51 ◽  
Author(s):  
Kerin Robinson ◽  
Mary Ell ◽  
Josephine Raw ◽  
Dianne Simpson

In 1990, LaTrobe University introduced the world's first Post-Graduate Diploma in Nosology, in response to unmet demand for diagnostic coders in Victoria. After the first graduates entered employment, a two-part study was undertaken. The composition, employment levels and projected institutional demand for the coding workforce (comprising medical record administrator coders, Nosologists and “unqualified” coders) were ascertained. In parallel, the current employment levels and projected demand for the institutional medical record administrator workforce also were investigated. The institutional variables of major health care role, annual inpatient discharges and operating sector were found to impact upon employment levels and demand for both workforces by current, prospective and non-employers. The study identified a minimal projected demand for nosologists, the reasons for which are postulated, and negligible projected demand for nonqualified coding personnel. The results highlight a health current and projected employer demand for both medical record administrators and medical record administrator coders.


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