Dataset Information

Forecasting future needs and optimal allocation of medical residency positions: the Emilia-Romagna Region case study.

ABSTRACT:

Objectives

Italian regional health authorities annually negotiate the number of residency grants to be financed by the National government and the number and mix of supplementary grants to be funded by the regional budget. This study provides regional decision-makers with a requirement model to forecast the future demand of specialists at the regional level.

Methods

We have developed a system dynamics (SD) model that projects the evolution of the supply of medical specialists and three demand scenarios across the planning horizon (2030). Demand scenarios account for different drivers: demography, service utilization rates (ambulatory care and hospital discharges) and hospital beds. Based on the SD outputs (occupational and training gaps), a mixed integer programming (MIP) model computes potentially effective assignments of medical specialization grants for each year of the projection.

Results

To simulate the allocation of grants, we have compared how regional and national grants can be managed in order to reduce future gaps with respect to current training patterns. The allocation of 25 supplementary grants per year does not appear as effective in reducing expected occupational gaps as the re-modulation of all regional training vacancies.

SUBMITTER: Senese F

PROVIDER: S-EPMC4328064 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature

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Publications

Forecasting future needs and optimal allocation of medical residency positions: the Emilia-Romagna Region case study.

Senese Francesca F Tubertini Paolo P Mazzocchetti Angelina A Lodi Andrea A Ruozi Corrado C Grilli Roberto R

Human resources for health 20150130

<h4>Objectives</h4>Italian regional health authorities annually negotiate the number of residency grants to be financed by the National government and the number and mix of supplementary grants to be funded by the regional budget. This study provides regional decision-makers with a requirement model to forecast the future demand of specialists at the regional level.<h4>Methods</h4>We have developed a system dynamics (SD) model that projects the evolution of the supply of medical specialists and ...[more]

PMID: 25633752

Similar Datasets

Project description:BackgroundThis research was performed in an area belonging to the province of the city of Bologna (Emilia-Romagna region, Northern Italy). The purpose of the present survey was to record the local knowledge concerning traditional uses of wild food plants and related practices, such as gathering, processing, cooking, therapeutic uses, with the aim of preserving an important part of the local cultural heritage.MethodsThirty-nine people still retaining Traditional Local Knowledge (TLK) were interviewed between March-April 2012 and September-October 2013 by means of open and semi-structured ethnobotanical interviews. For each plant species mentioned, we recorded the botanical family, the English common name, the Italian common and/or folk names, the parts of the plant used, the culinary preparation, and the medicinal usage. The relative frequency of citation index (RFC), a tool that measures the local cultural importance of a plant species, was also included.ResultsThe folk plants mentioned by the respondents belonged to 33 botanical families, of which the Rosaceae (14 plants) and the Asteraceae (9 plants) were the most representative. The species with the highest RFC index (0.77) were Crepis vesicaria subsp. taraxacifolia (Thuill) Thell and Taraxacum officinale Weber. Eleven folk plants were indicated as having therapeutic effects. T. officinale Weber, C. vesicaria subsp. taraxacifolia (Thuill) Thell and Sonchus spp., which are used as food, were reported to be depurative, blood cleaning, refreshing, diuretic and laxative. The most commonly used species was Urtica spp, which was also the most frequently cited for medicinal uses.ConclusionsThe present survey documented the wild food plant traditional knowledge of an area belonging to the province of the city of Bologna (Emilia-Romagna region, Northern Italy). The general perception obtained is that on one side the TLK related to wild food plants has strongly been eroded, mainly due to immigration and urbanization phenomena, whereas on the other side these plants are revaluated today because they are perceived as healthy and also because they represent the preservation of biodiversity and a way of getting back to nature.

Dataset Information

Forecasting future needs and optimal allocation of medical residency positions: the Emilia-Romagna Region case study.

Objectives

Methods

Results

Publications

Forecasting future needs and optimal allocation of medical residency positions: the Emilia-Romagna Region case study.

Similar Datasets

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