Health SystemsPub Date : 2023-06-12eCollection Date: 2024-01-01DOI: 10.1080/20476965.2023.2215848
Ekin Koker, Hari Balasubramanian, Rebecca Castonguay, Aliecia Bottali, Aaron Truchil
{"title":"Estimating the workload of a multi-disciplinary care team using patient-level encounter histories.","authors":"Ekin Koker, Hari Balasubramanian, Rebecca Castonguay, Aliecia Bottali, Aaron Truchil","doi":"10.1080/20476965.2023.2215848","DOIUrl":"10.1080/20476965.2023.2215848","url":null,"abstract":"<p><p>Healthcare spending in the United States is concentrated on a small percentage of individuals, with 5% of the population accounting for 50% of annual spending. Many patients among the top 5% of spenders have complex health and social needs. Care coordination interventions, often led by a multidisciplinary team consisting of nurses, community health workers and social workers, are one strategy for addressing the challenges facing such patients. Care teams strive to improve health outcomes by forging strong relationships with clients, visiting them on a regular basis, reconciling medications, arranging primary and speciality care visits, and addressing social needs such as housing instability, unemployment and insurance. In this paper, we propose a simulation algorithm that samples longitudinal patient-level encounter histories to estimate the staffing needs for a multidisciplinary care team. Our numerical results illustrate multiple uses of the algorithm for staffing under stationary and non-stationary patient enrollment rates.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":" ","pages":"295-315"},"PeriodicalIF":1.2,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11639679/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47549141","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 : 2023-06-01eCollection Date: 2025-01-01DOI: 10.1080/20476965.2023.2219293
Toni Tagimacruz, Monica Cepoiu-Martin, Deborah A Marshall
{"title":"Exploratory analysis using discrete event simulation modelling of the wait times and service costs associated with the maximum wait time guarantee policy applied in a rheumatology central intake clinic.","authors":"Toni Tagimacruz, Monica Cepoiu-Martin, Deborah A Marshall","doi":"10.1080/20476965.2023.2219293","DOIUrl":"10.1080/20476965.2023.2219293","url":null,"abstract":"<p><p>Adherence to wait time benchmark targets for the diagnosis and initiation of interventions for rheumatoid arthritis is crucial in altering the disease trajectory. We analysed the impact of the maximum wait time guarantee (MWTG) policy for routing referrals for the initial rheumatologist consults on the waiting and service costs. We modelled a central intake system for a rheumatology clinic as a discrete event simulation (DES) model. Using data from a central intake and rheumatology clinic as input to the model of the system, we simulated the arrival of referrals and rheumatologist visits of patients. We demonstrated the impact of the referral policy on system performance and compared the system costs in an MWTG policy and first-available-appointment policy scenarios. MWTG policy is an option for a wait time management strategy but comes with essential cost considerations. Healthcare managers and policymakers should consider the DES approach to support referral decision policy choices.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":" ","pages":"1-11"},"PeriodicalIF":1.2,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11843640/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47741236","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 : 2023-05-23eCollection Date: 2023-01-01DOI: 10.1080/20476965.2023.2206446
Sudhanshu Joshi, Manu Sharma
{"title":"Assessment of implementation barriers of blockchain technology in public healthcare: evidences from developing countries.","authors":"Sudhanshu Joshi, Manu Sharma","doi":"10.1080/20476965.2023.2206446","DOIUrl":"10.1080/20476965.2023.2206446","url":null,"abstract":"<p><p>The widespread use of Blockchain technology (BT) in nations that are developing remains in its early stages, necessitating a more comprehensive evaluation using efficient and adaptable approaches. The need for digitalization to boost operational effectiveness is growing in the healthcare sector. Despite BT's potential as a competitive option for the healthcare sector, insufficient research has prevented it being fully utilised. This study intends to identify the main sociological, economical, and infrastructure obstacles to BT adoption in developing nations' public health systems. To accomplish this goal, the study employs a multi-level analysis of blockchain hurdles using hybrid approach. The study's findings provide decision- makers with guidance on how to proceed, as well as insight into implementation challenges.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"12 2","pages":"223-242"},"PeriodicalIF":1.8,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208170/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9523970","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 : 2023-03-08eCollection Date: 2023-01-01DOI: 10.1080/20476965.2023.2180173
Samir Chatterjee, Kathy Kotiadis, Daniel Gartner
{"title":"A new vision and direction for <i>Health Systems</i>.","authors":"Samir Chatterjee, Kathy Kotiadis, Daniel Gartner","doi":"10.1080/20476965.2023.2180173","DOIUrl":"10.1080/20476965.2023.2180173","url":null,"abstract":"","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"12 1","pages":"1-2"},"PeriodicalIF":1.8,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013346/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9492040","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 : 2023-02-16eCollection Date: 2023-01-01DOI: 10.1080/20476965.2023.2174454
Fulvio D Lopane, Melanie Reuter-Oppermann, Andrea Raith, Daniel J Exeter, Ilze Ziedins, Richard Dawson
{"title":"A genetic algorithm-based strategic planning framework for optimising accessibility and costs of general practices in Northland, New Zealand.","authors":"Fulvio D Lopane, Melanie Reuter-Oppermann, Andrea Raith, Daniel J Exeter, Ilze Ziedins, Richard Dawson","doi":"10.1080/20476965.2023.2174454","DOIUrl":"10.1080/20476965.2023.2174454","url":null,"abstract":"<p><p>Shortage of general practitioners (GP) is a challenge worldwide, not only in Europe, but also in countries like New Zealand. Providing primary care in rural areas is especially challenging. In order to support decision makers, it is necessary to first assess the current GP coverage and then to determine different scenarios and plans for the future. In this paper, we first present a thorough overview of related literature on locating GP practices. Second, we propose an approach for assessing the GP coverage and determining future GP locations based on a genetic algorithm framework. As a use case, we have chosen the rural New Zealand region of Northland. We also perform a sensitivity analysis for the main input parameters.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"1 1","pages":"332-356"},"PeriodicalIF":1.8,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583631/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41535798","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 : 2023-02-15DOI: 10.1080/20476965.2023.2174453
Meetali Kakad, M. Utley, F. A. Dahl
{"title":"Using stochastic simulation modelling to study occupancy levels of decentralised admission avoidance units in Norway","authors":"Meetali Kakad, M. Utley, F. A. Dahl","doi":"10.1080/20476965.2023.2174453","DOIUrl":"https://doi.org/10.1080/20476965.2023.2174453","url":null,"abstract":"ABSTRACT Identifying alternatives to acute hospital admission is a priority for many countries. Over 200 decentralised municipal acute units (MAUs) were established in Norway to divert low-acuity patients away from hospitals. MAUs have faced criticism for low mean occupancy and not relieving pressures on hospitals. We developed a discrete time simulation model of admissions and discharges to MAUs to test scenarios for increasing absolute mean occupancy. We also used the model to estimate the number of patients turned away as historical data was unavailable. Our experiments suggest that mergers alone are unlikely to substantially increase MAU absolute mean occupancy as unmet demand is generally low. However, merging MAUs offers scope for up to 20% reduction in bed capacity, without affecting service provision. Our work has relevance for other admissions avoidance units and provides a method for estimating unconstrained demand for beds in the absence of historical data.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46265431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Health SystemsPub Date : 2023-01-08eCollection Date: 2023-01-01DOI: 10.1080/20476965.2022.2162445
Elisabetta Ronchieri, Marco Canaparo
{"title":"Assessing the impact of software quality models in healthcare software systems.","authors":"Elisabetta Ronchieri, Marco Canaparo","doi":"10.1080/20476965.2022.2162445","DOIUrl":"10.1080/20476965.2022.2162445","url":null,"abstract":"<p><p>Health and medical care are safety-critical environments. The development of a safe and reliable healthcare software system is one of the most important processes which may affect the accuracy of clinical decision making and have an impact on determining diagnoses of and treatment for diseases. The aim of this study is to assess if software quality models, such as McCall, can have an impact on healthcare software quality for the purpose of reducing software failures. We have identified the main criticalities of healthcare software systems based on existing literature, software quality models and programming language standards; we have related these criticalities to software characteristics; we have analysed the relationship between the main criticalities of healthcare software systems and their software characteristics. The following criticalities - the risk of changing hard-coded software and the importance of developing maintainable software - must be addressed at the start of the software development process.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"12 1","pages":"85-97"},"PeriodicalIF":1.2,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013535/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9131150","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 : 2023-01-01DOI: 10.1080/20476965.2021.1997651
Shiva Faeghi, Kunibert Lennerts, Stefan Nickel
{"title":"Strategic planning of operating room session allocation using stability analysis.","authors":"Shiva Faeghi, Kunibert Lennerts, Stefan Nickel","doi":"10.1080/20476965.2021.1997651","DOIUrl":"https://doi.org/10.1080/20476965.2021.1997651","url":null,"abstract":"<p><p>Operating room (OR) resources are limited, and for this reason there is usually a competition among surgeons to win them. However, the methods developed for allocating OR sessions are mostly based on optimisation methods which compensate the preferences of surgeons or surgical specialities in favour of the productivity of the entire OR department. This leads to conflict and dissatisfaction among surgeons. To overcome this problem, a methodology based on game theoretic solutions is presented in this paper that formulates the allocation problem as a simple game. The surgeons or specialities as players then jointly pursue the goal of achieving overall stability. Stability is defined and measured using a method called Power Index. The proposed method is then combined with the Monte-Carlo technique to deal with uncertainties. To demonstrate the capability of the suggested procedures, they are applied to a case study from the literature and a set of hypothetical scenarios.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"12 2","pages":"167-180"},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208130/pdf/THSS_12_1997651.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10195640","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 : 2023-01-01DOI: 10.1080/20476965.2022.2035260
Sheema Noorain, Maria Paola Scaparra, Kathy Kotiadis
{"title":"Mind the gap: a review of optimisation in mental healthcare service delivery.","authors":"Sheema Noorain, Maria Paola Scaparra, Kathy Kotiadis","doi":"10.1080/20476965.2022.2035260","DOIUrl":"https://doi.org/10.1080/20476965.2022.2035260","url":null,"abstract":"<p><p>Well-planned care arrangements with effective distribution of available resources have the potential to address inefficiencies in mental health services. We begin by exploring the complexities associated with mental health and describe how these influence service delivery. We then conduct a scoping literature review of studies employing optimisation techniques that address service delivery issues in mental healthcare. Studies are classified based on criteria such as the type of planning decision addressed, the purpose of the study and care setting. We analyse the modelling methodologies used, objectives, constraints and model solutions. We find that the application of optimisation to mental healthcare is in its early stages compared to the rest of healthcare. Commonalities between mental healthcare service provision and other services are discussed, and the future research agenda is outlined. We find that the existing application of optimisation in specific healthcare settings can be transferred to mental healthcare. Also highlighted are opportunities for addressing specific issues faced by mental healthcare services.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"12 2","pages":"133-166"},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/0d/47/THSS_12_2035260.PMC10208133.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9523966","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}