Health SystemsPub Date : 2019-05-16eCollection Date: 2020-01-01DOI: 10.1080/20476965.2019.1604086
Antoniya Hauerwaas, Ursula Weisenfeld
{"title":"The impact of systemic innovations for transforming transplant systems. Lessons learned from the German lung transplantation system. A qualitative study.","authors":"Antoniya Hauerwaas, Ursula Weisenfeld","doi":"10.1080/20476965.2019.1604086","DOIUrl":"https://doi.org/10.1080/20476965.2019.1604086","url":null,"abstract":"<p><p>The aim of this paper is to demonstrate the potential of the systemic innovations approach for transforming transplantation systems. It explores potential leverage points for intervening in the LTx-system as well as possible paths of transformation. We present possible transition pathways giving the example of the German Lung transplantation system that teeters on the brink of collapse due to system failures and organ scarcity and illustrate systemic innovations as core mechanisms for systems change in health systems. Desk research and semi-structured experts interviews provided qualitative data for a deductive-inductive coding and a rigorous qualitative content analysis of the data. Depending on the systemic innovations chosen to achieve systems change, transplant systems follow different transformational paths: from a collapse to a leapfrogging towards a non-human transplantation system. Thus, global health areas like transplantation benefit from analysis on systemic innovations as these support researchers, public policy and regulators by developing transformative strategies in healthcare systems.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"9 1","pages":"76-93"},"PeriodicalIF":1.8,"publicationDate":"2019-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/20476965.2019.1604086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37829238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health SystemsPub Date : 2019-05-07eCollection Date: 2019-01-01DOI: 10.1080/20476965.2019.1599701
Olufemi A Omitaomu, Ozgur Ozmen, Mohammed M Olama, Laura L Pullum, Teja Kuruganti, James Nutaro, Hilda B Klasky, Helia Zandi, Aneel Advani, Angela L Laurio, Merry Ward, Jeanie Scott, Jonathan R Nebeker
{"title":"Real-Time Automated Hazard Detection Framework for Health Information Technology Systems.","authors":"Olufemi A Omitaomu, Ozgur Ozmen, Mohammed M Olama, Laura L Pullum, Teja Kuruganti, James Nutaro, Hilda B Klasky, Helia Zandi, Aneel Advani, Angela L Laurio, Merry Ward, Jeanie Scott, Jonathan R Nebeker","doi":"10.1080/20476965.2019.1599701","DOIUrl":"https://doi.org/10.1080/20476965.2019.1599701","url":null,"abstract":"<p><p>An increase in the reliability of Health Information Technology (HIT) will facilitate institutional trust and credibility of the systems. In this paper, we present an end-to-end framework for improving the reliability and performance of HIT systems. Specifically, we describe the system model, present some of the methods that drive the model, and discuss an initial implementation of two of the proposed methods using data from the Veterans Affairs HIT and Corporate Data Warehouse systems. The contributions of this paper, thus, include (1) the design of a system model for monitoring and detecting hazards in HIT systems, (2) a data-driven approach for analysing the health care data warehouse, (3) analytical methods for characterising and analysing failures in HIT systems, and (4) a tool architecture for generating and reporting hazards in HIT systems. Our goal is to work towards an automated system that will help identify opportunities for improvements in HIT systems.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"8 3","pages":"190-202"},"PeriodicalIF":1.8,"publicationDate":"2019-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/20476965.2019.1599701","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37460010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health SystemsPub Date : 2019-04-19DOI: 10.1080/20476965.2019.1596338
Reza Salehnejad, Manhal Ali, Nathan Proudlove
{"title":"Combining regression trees and panel regression for exploring and testing the impact of complementary management practices on short-notice elective operation cancellation rates.","authors":"Reza Salehnejad, Manhal Ali, Nathan Proudlove","doi":"10.1080/20476965.2019.1596338","DOIUrl":"10.1080/20476965.2019.1596338","url":null,"abstract":"<p><p>Variation in the performance of providers across healthcare systems is pervasive. It is recognised as both a major concern and an opportunity for learning and improvement. Variation between providers is broadly considered to be due to management practices and contextual factors such as catchment-area demographics. However, there is little understanding of the ways in which these impact on performance and how they can be measured. We use recent developments in both regression trees and panel regression techniques to explore and then statistically test complementary alignments of management practices whilst taking into account contextual factors. We apply this to 5 years of NHS hospital trust data, examining performance on short-notice cancellation rates. We find that different alignments of management practices give rise to quite different short-notice cancellation rates between trusts, with some being substantially lower. Our research offers a data-driven approach for identifying optimal clusters of management practices.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"9 4","pages":"326-344"},"PeriodicalIF":1.2,"publicationDate":"2019-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738292/pdf/THSS_9_1596338.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10292914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health SystemsPub Date : 2019-04-15eCollection Date: 2020-01-01DOI: 10.1080/20476965.2019.1599702
M Rita Thissen, Katherine M Mason
{"title":"Planning security architecture for health survey data storage and access.","authors":"M Rita Thissen, Katherine M Mason","doi":"10.1080/20476965.2019.1599702","DOIUrl":"10.1080/20476965.2019.1599702","url":null,"abstract":"<p><p>Sensitive data from health research surveys need to be protected from loss, damage or unwanted release, especially when data include personally identifying information, protected health information or other private material. Researchers and practitioners must ensure privacy and confidentiality in the architecture of data systems and in access to the data. Internal and external risks may be deliberate or accidental, involving unintended loss, modification or exposure. To prevent risk while allowing access requires balancing concerns against providing an environment that does not impede work. The authors' purpose in this paper is to draw attention to basic data security needs for health survey data from the perspective of both the health researcher/practitioner and infrastructure/programming staff to ensure that data are securely and adequately protected. We describe risk classifications and how they affect system architecture, drawing on recent experience with systems for storage of and access to electronic health survey data.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"9 1","pages":"57-63"},"PeriodicalIF":1.2,"publicationDate":"2019-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144259/pdf/THSS_9_1599702.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37829236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health SystemsPub Date : 2019-01-24DOI: 10.1080/20476965.2019.1569480
Abdullah Alibrahim, Shinyi Wu
{"title":"Modelling competition in health care markets as a complex adaptive system: an agent-based framework.","authors":"Abdullah Alibrahim, Shinyi Wu","doi":"10.1080/20476965.2019.1569480","DOIUrl":"https://doi.org/10.1080/20476965.2019.1569480","url":null,"abstract":"<p><p>Health market reforms necessitate continuous re-evaluation of initiatives, competitive regulations, and antitrust policies. Synergistic implications, evolution, and behaviour changes associated with the market competition are often overlooked due to methodological limitations. To rectify these limitations, parallels between defining features of health care markets (HCM) and complex adaptive systems (CAS) are drawn. The science of CAS develops complex system-level models of dynamic interactions to allow insights for heterogeneous agents and emergent behaviours. Agent-based modelling (ABM) is a computational tool of CAS science suitable for investigating competition in HCM. The proposed agent-based framework conceptualises agents, environment, and interactions, and formalises agent-specific attributes and modules that achieve agent roles to recreate HCM dynamics. The framework conceptualises competition in HCM into an implementable ABM for a CAS assessment, identifies data sources, and develops face-validity procedures. Developments in data, computational power, and decisions theory compel CAS approach to complement studies on pressing HCM issues.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"9 3","pages":"212-225"},"PeriodicalIF":1.8,"publicationDate":"2019-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/20476965.2019.1569480","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38487182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health SystemsPub Date : 2019-01-24eCollection Date: 2019-01-01DOI: 10.1080/20476965.2019.1569482
Shilpa Register, Michelle Brown, Marjorie Lee White
{"title":"Using healthcare simulation in space planning to improve efficiency and effectiveness within the healthcare system.","authors":"Shilpa Register, Michelle Brown, Marjorie Lee White","doi":"10.1080/20476965.2019.1569482","DOIUrl":"https://doi.org/10.1080/20476965.2019.1569482","url":null,"abstract":"<p><p>Healthcare professionals are continuously being challenged to address the triple aim necessary for effective patient care: improving the quality and satisfaction of patients, improving the health of populations, and reducing per capita cost of healthcare. Today, innovation and cost-effective methods are a requirement to meet the triple aim given the current economic climate and financial limitations. Healthcare simulation is currently underutilised, particularly during the space or facility planning process in healthcare. This position paper will describe the process of implementing space simulations that were conducted between 2016 and 2018 in six different clinical settings that identified patient and provider safety concerns, and patient and provider needs. Simulation design and development along with the methodology for data collection and data analyses will be presented. Qualitative results will be presented to demonstrate the impact of the use of simulation to prevent critical and non-critical safety events.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"8 3","pages":"184-189"},"PeriodicalIF":1.8,"publicationDate":"2019-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/20476965.2019.1569482","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37460009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health SystemsPub Date : 2019-01-16eCollection Date: 2019-01-01DOI: 10.1080/20476965.2018.1561160
Vahab Vahdat, Amir Namin, Rana Azghandi, Jacqueline Griffin
{"title":"Improving patient timeliness of care through efficient outpatient clinic layout design using data-driven simulation and optimisation.","authors":"Vahab Vahdat, Amir Namin, Rana Azghandi, Jacqueline Griffin","doi":"10.1080/20476965.2018.1561160","DOIUrl":"10.1080/20476965.2018.1561160","url":null,"abstract":"<p><p>With greater demand for outpatient services, the importance of patient-centric clinic layout design that improves timeliness of patient care has become more elucidated. In this paper, a novel simulation-optimisation (SO) framework is proposed focusing on the physical and process flows of patients in the design of a paediatric orthopaedic outpatient clinic. A discrete-event simulation model is used to estimate the frequency of movements between clinic units. The resulting information is utilised as input to a mixed integer programming (MIP) model, optimising the clinic layout design. In order to solve the MIP model, Particle Swarm Optimisation (PSO), a metaheuristic approach enhanced with several heuristics is utilised. Finally, the optimisation model outputs are evaluated with the simulation model. The results demonstrate that improvements to the quality of the patient experience can be achieved through incorporating SO methods into the clinic layout design process.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"8 3","pages":"162-183"},"PeriodicalIF":1.2,"publicationDate":"2019-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896490/pdf/THSS_8_1561160.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37460008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health SystemsPub Date : 2019-01-06eCollection Date: 2020-01-01DOI: 10.1080/20476965.2018.1561161
Muhammed Ordu, Eren Demir, Chris Tofallis
{"title":"A decision support system for demand and capacity modelling of an accident and emergency department.","authors":"Muhammed Ordu, Eren Demir, Chris Tofallis","doi":"10.1080/20476965.2018.1561161","DOIUrl":"https://doi.org/10.1080/20476965.2018.1561161","url":null,"abstract":"<p><p>Accident and emergency (A&E) departments in England have been struggling against severe capacity constraints. In addition, A&E demands have been increasing year on year. In this study, our aim was to develop a decision support system combining discrete event simulation and comparative forecasting techniques for the better management of the Princess Alexandra Hospital in England. We used the national hospital episodes statistics data-set including period April, 2009 - January, 2013. Two demand conditions are considered: the expected demand condition is based on A&E demands estimated by comparing forecasting methods, and the unexpected demand is based on the closure of a nearby A&E department due to budgeting constraints. We developed a discrete event simulation model to measure a number of key performance metrics. This paper presents a crucial study which will enable service managers and directors of hospitals to foresee their activities in future and form a strategic plan well in advance.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"9 1","pages":"31-56"},"PeriodicalIF":1.8,"publicationDate":"2019-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/20476965.2018.1561161","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37829234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health SystemsPub Date : 2019-01-01Epub Date: 2017-12-12DOI: 10.1080/20476965.2017.1406568
Katheryn R Christy, Jakob D Jensen, Brian Britt, Courtney L Scherr, Christina Jones, Natasha R Brown
{"title":"I want to talk to a real person: theorising avoidance in the acceptance and use of automated technologies.","authors":"Katheryn R Christy, Jakob D Jensen, Brian Britt, Courtney L Scherr, Christina Jones, Natasha R Brown","doi":"10.1080/20476965.2017.1406568","DOIUrl":"10.1080/20476965.2017.1406568","url":null,"abstract":"<p><p>Automated communication systems are increasingly common in mobile and ehealth contexts. Yet, there is reason to believe that some high risk segments of the population might be prone to avoid automated systems even though they are often designed to reach these groups. To facilitate research in this area, avoidance of automated communication (AAC) is theorized - and a measurement instrument validated - across two studies. In study 1, an AAC scale was found to be unidimensional and internally reliable as well as negatively correlated with comfort, perceptions, and intentions to use technology. Moreover, individuals with social phobia had lower AAC scores which was consistent with the idea that they preferred non-human interaction facilitated by automated communication. In study 2, confirmatory factor analysis supported the unidimensional structure of the measure and the instrument once again proved to be reliable. Individuals with lower AAC had greater intentions to utilize automated communication, EHRs, and an automated virtual nurse program. AAC is a disposition that predicts significant variance in intentions and comfort with various automated communication technologies. Avoidance increases with age but may be mitigated by systems that allow participants to opt-out or immediately interact with a live person.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"8 1","pages":"31-43"},"PeriodicalIF":1.8,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/20476965.2017.1406568","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37052483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health SystemsPub Date : 2018-12-28eCollection Date: 2020-01-01DOI: 10.1080/20476965.2018.1561159
Nasim Sabounchi, Nasser Sharareh, Fatima Irshaidat, Serdar Atav
{"title":"Spatial dynamics of access to primary care for the medicaid population.","authors":"Nasim Sabounchi, Nasser Sharareh, Fatima Irshaidat, Serdar Atav","doi":"10.1080/20476965.2018.1561159","DOIUrl":"10.1080/20476965.2018.1561159","url":null,"abstract":"<p><p>Primary care (PC) has always been underestimated and underinvested by the United States health system. Our goal was to investigate the effect of Medicaid expansion and the Affordable Care Act (ACA) provisions on PC access in Broome County, NY, a county that includes both rural and urban areas, and can serve as a benchmark for other regions. We developed a spatial system dynamics model to capture different stages of PC access for the Medicaid population by using the health belief model constructs and simulate the effect of several hypothetical interventions on PC utilisation. The government data portals used as data sources for calibrating our model include the New York State Department of Health, the Medicaid Delivery System Reform Incentive Payment (DSRIP) dashboards, and the US census. In our unique approach, we integrated the simulation results within Geographical Information System (GIS) maps, to assess the influence of geospatial factors on PC access. Our results identify hot spot demographic areas that have poor access to PC service facilities due to transportation constraints and a shortage in PC providers. Our decision support tool informs policymakers about programmes with the strongest impact on improving access to care, considering spatial and temporal characteristics of a region.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"9 1","pages":"64-75"},"PeriodicalIF":1.8,"publicationDate":"2018-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/20476965.2018.1561159","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37829237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}