Impact of teaching intensity and academic status on medical resource utilization by teaching hospitals in Japan

Sato, Daisuke; Fushimi, Kiyohide

doi:10.1016/j.healthpol.2012.08.021

Cited by 7 publications

(7 citation statements)

References 29 publications

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“…In the current research, we presented the results of a study of the efficiency of hospitals with educational activities (ENS), although descriptive statistics indicated lower efficiency of these hospitals, according to the major theory (Grosskopf et al, 2004;Hadji et al, 2014;Sato & Fushimi, 2012). The econometric findings did not point to differences with statistical significance in the efficiency of hospitals with or without teaching activity.…”

Section: Specialized (Esp) 11mentioning

confidence: 74%

“…Thus, agreeing with the findings of Colombi et al (2016), in a study carried out in Italy. In addition, it is important to note that the role of health services in the development of health services was not adequately addressed in the previous studies of health services (Sato & Fushimi, 2012;Hadji et al, 2014). However, in private hospitals that make up this sample, the impacts were not significant.…”

Section: Specialized (Esp) 11mentioning

confidence: 87%

“…According to Hadji et al (2014), teaching and research activities influence total staff costs due to their demand for professionals with seniority for the development of these activities. The association between the use of medical equipment and academic involvement implies indirect educational costs with a consequent impact on efficiency (Sato & Fushimi, 2012). In this sense, according to Grosskopf et al (2004), the presence of medical residents would explain a considerable part of the inefficiency in teaching hospitals.…”

Section: Teaching Activitiesmentioning

confidence: 99%

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Efficiency Evaluation of Private Hospitals in Brazil: A Two-Stage Analysis

Saquetto

Araújo

2019

RAM, Rev. Adm. Mackenzie

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Purpose: This study aims to describe the efficiency of private hospitals in Brazil and to understand the influence of property structure, specialization, accreditation, and teaching activity on the efficiency of private hospitals. Originality/value: Our findings suggested that private hospitals’ efficiency stands out due to their quest for quality and safety certification and investigates controversial factors in the hospital efficiency literature. Besides, it contributes to the development of the national literature as regards hospitals efficiency in Brazil through a two-stage analysis. Design/methodology/approach: The efficiencies of 98 hospitals of the National Association of Private Hospitals (ANAHP) were estimated through the modeling Data Envelopment Analysis (DEA). Three inputs and three outputs were selected referring to the performance of hospitals in the year 2017. In the first stage, the input-oriented efficiencies were analyzed using a non-discretionary variable. In the second, bootstrapped measures were estimated, and the influences of hospital efficiency factors were investigated through econometric models. Findings: The results enabled the description of resource management aspects related to the inputs and outputs investigated, to improve efficiency in private hospitals in Brazil, and to understand the influence of ownership, specialization, and accreditation factors on the efficiency of private hospitals.

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Section: Specialized (Esp) 11mentioning

confidence: 74%

Section: Specialized (Esp) 11mentioning

confidence: 87%

Section: Teaching Activitiesmentioning

confidence: 99%

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Efficiency Evaluation of Private Hospitals in Brazil: A Two-Stage Analysis

Saquetto

Araújo

2019

RAM, Rev. Adm. Mackenzie

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“…The internal hospital environment and regional conditions are also important to consider. For example, reduction in the average length of stay in university hospitals is unlikely, due to the complexity of diseases they treat and services they deliver [32,44]. Although most models in the review recommend that the average length of stay should be assumed to vary, bed occupancy rates are usually considered constant.…”

Section: Discussionmentioning

confidence: 99%

Models and methods for determining the optimal number of beds in hospitals and regions: a systematic scoping review

Ravaghi

Alidoost

Mannion

et al. 2020

BMC Health Serv Res

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Background: Determining the optimal number of hospital beds is a complex and challenging endeavor and requires models and techniques which are sensitive to the multi-level, uncertain, and dynamic variables involved. This study identifies and characterizes extant models and methods that can be used to determine the required number of beds at hospital and regional levels, comparing their advantages and challenges. Methods: A systematic search was conducted using Web of Science, Scopus, Embase and PubMed databases, with the search terms hospital bed capacity, hospital bed need, hospital, bed size, model, and method. Results: Twenty-three studies met the criteria to be included in the review. Of these studies, a total of 11 models and 5 methods were identified, mainly designed to determine hospital bed capacity at the regional level. Common determinants of the required number of hospital beds in these models included demographic changes, average length of stay, admission rates, and bed occupancy rates. Conclusions: There are no specific norms for the required number of beds at hospital and regional levels, but some of the identified models and methods may be used to estimate this number in different contexts. Moreover, it is important to consider alternative approaches to planning hospital capacity like care pathways to fix the limitations of "bed numbers".

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“…Aside from some articles on resource utilization in relation to teaching activities (Sato & Fushimi, 2012), the area of education, a fundamental part of the tripartite mission of academic hospitals, has received little scholarly attention. When it does receive attention, rarely a distinction is made between the different types of education such as patient, professional, postgraduate, or undergraduate education.…”

Section: Literature Review On Academic Hospitalsmentioning

confidence: 99%

The Three-Step Workflow: A Pragmatic Approach to Allocating Academic Hospitals’ Affiliations for Bibliometric Purposes

Elizondo

Calero-Medina

Visser

2022

Journal of Data and Information Science

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Purpose A key question when ranking universities is whether or not to allocate the publication output of affiliated hospitals to universities. This paper presents a method for classifying the varying degrees of interdependency between academic hospitals and universities in the context of the Leiden Ranking. Design/methodology/approach Hospital nomenclatures vary worldwide to denote some form of collaboration with a university, however they do not correspond to universally standard definitions. Thus, rather than seeking a normative definition of academic hospitals, we propose a three-step workflow that aligns the university-hospital relationship with one of three general models: full integration of the hospital and the medical faculty into a single organization; health science centres in which hospitals and medical faculty remain separate entities albeit within the same governance structure; and structures in which universities and hospitals are separate entities which collaborate with one another. This classification system provides a standard through which publications which mention affiliations with academic hospitals can be better allocated. Findings In the paper we illustrate how the three-step workflow effectively translates the three above-mentioned models into two types of instrumental relationships for the assignation of publications: “associate” and “component”. When a hospital and a medical faculty are fully integrated or when a hospital is part of a health science centre, the relationship is classified as component. When a hospital follows the model of collaboration and support, the relationship is classified as associate. The compilation of data following these standards allows for a more uniform comparison between worldwide educational and research systems. Research limitations The workflow is resource intensive, depends heavily on the information provided by universities and hospitals, and is more challenging for languages that use non-Latin characters. Further, the application of the workflow demands a careful evaluation of different types of input which can result in ambiguity and makes it difficult to automatize. Practical implications Determining the type of affiliation an academic hospital has with a university can have a substantial impact on the publication counts for universities. This workflow can also aid in analysing collaborations among the two types of organizations. Originality/value The three-step workflow is a unique way to establish the type of relationship an academic hospital has with a university accounting for national and regional differences on nomenclature.

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Impact of teaching intensity and academic status on medical resource utilization by teaching hospitals in Japan

Cited by 7 publications

References 29 publications

Efficiency Evaluation of Private Hospitals in Brazil: A Two-Stage Analysis

Efficiency Evaluation of Private Hospitals in Brazil: A Two-Stage Analysis

Models and methods for determining the optimal number of beds in hospitals and regions: a systematic scoping review

The Three-Step Workflow: A Pragmatic Approach to Allocating Academic Hospitals’ Affiliations for Bibliometric Purposes

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