Place Parameter in Hospital Sector

Author(s):  
Ashvini Vora
Keyword(s):  
1986 ◽  
Vol 17 (1) ◽  
pp. 17-27 ◽  
Author(s):  
RODNEY A. ERICKSON ◽  
NORMA I. GAVIN ◽  
SAM M. CORDES

1999 ◽  
Vol 29 (2) ◽  
pp. 431-457 ◽  
Author(s):  
Signild Vallgårda

Between 1930 and 1990 Denmark's hospital sector and hospital policy underwent radical changes. In 1930 the sector was dominated by many small hospitals, with care as the central task. By 1990 the number of hospitals had almost halved, specialization had developed, and diagnostic and therapeutic procedures were hospitals' most important functions. There have been many claims that the shape of the health care sector is determined by the development of medicine. This article demonstrates that changes in other areas of society have greatly influenced the development of the Danish hospital sector. In the 1930s and 1940s, the focus was on equity and specialization; in the 1950s, on growth, rationalization, and division of labor; in the 1960s, on growth and planning; and during the last decades, on management, productivity, and cost containment. Since 1980 the specialization, growth, and political acceptability of the specialized hospital sector have decreased, a change that can be characterized as the incipient decline of the specialized hospital sector.


2018 ◽  
Vol 56 (10) ◽  
pp. 2187-2224 ◽  
Author(s):  
Miguel Angel Ortiz-Barrios ◽  
Zulmeira Herrera-Fontalvo ◽  
Javier Rúa-Muñoz ◽  
Saimon Ojeda-Gutiérrez ◽  
Fabio De Felice ◽  
...  

PurposeThe risk of adverse events in a hospital evaluation is an important process in healthcare management. It involves several technical, social, and economical aspects. The purpose of this paper is to propose an integrated approach to evaluate the risk of adverse events in the hospital sector.Design/methodology/approachThis paper aims to provide a decision-making framework to evaluate hospital service. Three well-known methods are applied. More specifically are proposed the following methods: analytic hierarchy process (AHP), a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology developed by Thomas L. Saaty in the 1970s; decision-making trial and evaluation laboratory (DEMATEL) to construct interrelations between criteria/factors and VIKOR method, a commonly used multiple-criteria decision analysis technique for determining a compromise solution and improving the quality of decision making.FindingsThe example provided has demonstrated that the proposed approach is an effective and useful tool to assess the risk of adverse events in the hospital sector. The results could help the hospital identify its high performance level and take appropriate measures in advance to prevent adverse events. The authors can conclude that the promising results obtained in applying the AHP–DEMATEL–VIKOR method suggest that the hybrid method can be used to create decision aids that it simplifies the shared decision-making process.Originality/valueThis paper presents a novel approach based on the integration of AHP, DEMATEL and VIKOR methods. The final aim is to propose a robust methodology to overcome disadvantages associated with each method.


Author(s):  
Mari Holm Ingelsrud

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>This article investigates the probability of turnover to three destinations following hospital merg- ers: within the hospital sector, out of the hospital sector, and out of work. It is hypothesized that mergers increase turnover to nonemployment among employees with poor health and increase turnover to employment outside of the hospital sector among healthy employees. Discrete-time survival analyses show that mergers increase turnover within the hospital sector for all employ- ees, regardless of health. Turnover to other sectors and out of work does not increase. Possible explanations for the limited turnover out of the sector associated with mergers are aspects of the Norwegian labor market such as the institution of employee participation, low unemployment, and labor shortages within hospitals. </span></p></div></div></div>


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