Francisco Reyes-Santias, Octavio Cordova-Arevalo, Ivan Busto Dominguez, Manel Antelo
{"title":"Factors influencing medical imaging technology uptake by private hospitals","authors":"Francisco Reyes-Santias, Octavio Cordova-Arevalo, Ivan Busto Dominguez, Manel Antelo","doi":"10.1007/s12553-023-00774-y","DOIUrl":null,"url":null,"abstract":"Abstract Purpose This article analyses the factors influencing the uptake of computed tomography (CT) and magnetic resonance imaging (MRI) technologies by a sample of private hospitals located in Galicia-North of Portugal European Region. Methods Regarding adoption, associations with the different variables were analysed by means of binary logistic regression for CT and MRI of data from 24 private hospitals for the period 2006–2019. The sample data used to perform the regression analyses were panel data (Wooldridge in Econometric Analysis of Cross Section and Panel Data, Cambridge, Massachusetts, 1) and statistical significance was established at p ≤ 0.05. Results We find that hospital size, proxied by the number of beds, best explains the decision to adopt CT technology, while the only sociodemographic variable that affects the adoption decision is age above 64 years. Hospital size is also the main explanatory variable for MRI technology adoption, and in this case, all sociodemographic variables, except for population density, affect the adoption decision. Conclusions The availability of a CT scanner reduces the probability of a private hospital adopting MRI technology. Contracts with Public Sector have a counterfactual effect on CT uptake and a negative influence on MRI uptake.","PeriodicalId":12941,"journal":{"name":"Health and Technology","volume":"77 ","pages":"0"},"PeriodicalIF":3.1000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s12553-023-00774-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Purpose This article analyses the factors influencing the uptake of computed tomography (CT) and magnetic resonance imaging (MRI) technologies by a sample of private hospitals located in Galicia-North of Portugal European Region. Methods Regarding adoption, associations with the different variables were analysed by means of binary logistic regression for CT and MRI of data from 24 private hospitals for the period 2006–2019. The sample data used to perform the regression analyses were panel data (Wooldridge in Econometric Analysis of Cross Section and Panel Data, Cambridge, Massachusetts, 1) and statistical significance was established at p ≤ 0.05. Results We find that hospital size, proxied by the number of beds, best explains the decision to adopt CT technology, while the only sociodemographic variable that affects the adoption decision is age above 64 years. Hospital size is also the main explanatory variable for MRI technology adoption, and in this case, all sociodemographic variables, except for population density, affect the adoption decision. Conclusions The availability of a CT scanner reduces the probability of a private hospital adopting MRI technology. Contracts with Public Sector have a counterfactual effect on CT uptake and a negative influence on MRI uptake.
摘要目的分析影响葡萄牙北部加利西亚地区私立医院CT和MRI技术应用的因素。方法对2006-2019年24家民营医院的CT和MRI数据进行二元logistic回归分析,分析采用率与不同变量的相关性。进行回归分析的样本数据为面板数据(Wooldridge in Econometric Analysis of Cross Section and panel data, Cambridge, Massachusetts, 1), p≤0.05具有统计学显著性。结果我们发现医院规模(以床位数量为代表)最能解释采用CT技术的决定,而影响采用决策的唯一社会人口变量是64岁以上的年龄。医院规模也是MRI技术采用的主要解释变量,在这种情况下,除人口密度外,所有社会人口统计学变量都会影响采用决策。结论CT扫描仪的可用性降低了私立医院采用MRI技术的可能性。与公共部门的合同对CT吸收有反事实效应,对MRI吸收有负面影响。
期刊介绍:
Health and Technology is the first truly cross-disciplinary journal on issues related to health technologies addressing all professions relating to health, care and health technology.The journal constitutes an information platform connecting medical technology and informatics with the needs of care, health care professionals and patients. Thus, medical physicists and biomedical/clinical engineers are encouraged to write articles not only for their colleagues, but directed to all other groups of readers as well, and vice versa.By its nature, the journal presents and discusses hot subjects including but not limited to patient safety, patient empowerment, disease surveillance and management, e-health and issues concerning data security, privacy, reliability and management, data mining and knowledge exchange as well as health prevention. The journal also addresses the medical, financial, social, educational and safety aspects of health technologies as well as health technology assessment and management, including issues such security, efficacy, cost in comparison to the benefit, as well as social, legal and ethical implications.This journal is a communicative source for the health work force (physicians, nurses, medical physicists, clinical engineers, biomedical engineers, hospital engineers, etc.), the ministries of health, hospital management, self-employed doctors, health care providers and regulatory agencies, the medical technology industry, patients'' associations, universities (biomedical and clinical engineering, medical physics, medical informatics, biology, medicine and public health as well as health economics programs), research institutes and professional, scientific and technical organizations.Health and Technology is jointly published by Springer and the IUPESM (International Union for Physical and Engineering Sciences in Medicine) in cooperation with the World Health Organization.