Health SystemsPub Date : 2022-12-29eCollection Date: 2024-01-01DOI: 10.1080/20476965.2022.2155256
Anas Ziat, Naoufal Sefiani, Hamid Azzouzi, Kamal Reklaoui
{"title":"A generic sustainable performance management system for hospital supply chain: design & analysis.","authors":"Anas Ziat, Naoufal Sefiani, Hamid Azzouzi, Kamal Reklaoui","doi":"10.1080/20476965.2022.2155256","DOIUrl":"10.1080/20476965.2022.2155256","url":null,"abstract":"<p><p>The assessment of the hospital supply chain management represents a key challenge by virtue of the complexity of the healthcare sector. The purpose of this study is to introduce a hybrid approach that helps hospital administrators to clearly identify, evaluate, and narrow the key performance criteria for their supply chain. The methodology attempts to minimise information loss, reduce the fuzziness and subjectivity of the collected data and describes the interdependence among criteria. The proposed generic framework can be valuable for hospitals organisations aiming for a sustainable performance decision-making process. The combination of the Fuzzy Delphi method and Structural Equation Modelling proved to be effective in determining the pillars driving the sustainable performance of the hospital supply chain.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11123450/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60009357","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 : 2022-12-19eCollection Date: 2024-01-01DOI: 10.1080/20476965.2022.2150570
Saleigh Q Derico, Karen Hicklin, Lauren B Davis, Kim C Brooks
{"title":"Data-driven analyses to quantify information seeking behaviour for women with uterine fibroids.","authors":"Saleigh Q Derico, Karen Hicklin, Lauren B Davis, Kim C Brooks","doi":"10.1080/20476965.2022.2150570","DOIUrl":"10.1080/20476965.2022.2150570","url":null,"abstract":"<p><p>Uterine fibroids (UF) are noncancerous growths of the uterus and impact the livelihood of over 26 million women in the United States. Although UF may not have accompanying symptoms, for some women their presence leads to surgical treatment, which can be a difficult decision-making process. Web-scraping of online media is used to identify information-seeking behavior of women searching for UF treatment options. We synthesize the data to describe trends in UF treatment, including the identification of gaps between the information individuals are seeking (demand) and information that is publicly available as a resource (supply), which contributes to this study's creation of the term \"information desert.\" We perform statistical analysis to understand information-seeking behavior, determine the gap between information supply and information demand, and determine the correlation between a doctor's treatment recommendation and a patient's treatment decision as a function of age, symptoms, and knowledge obtained about specific types of treatment.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11123465/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44293859","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 : 2022-11-05eCollection Date: 2023-01-01DOI: 10.1080/20476965.2022.2141141
Md Merajul Islam, Md Jahanur Rahman, Md Menhazul Abedin, Benojir Ahammed, Mohammad Ali, N A M Faisal Ahmed, Md Maniruzzaman
{"title":"Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques.","authors":"Md Merajul Islam, Md Jahanur Rahman, Md Menhazul Abedin, Benojir Ahammed, Mohammad Ali, N A M Faisal Ahmed, Md Maniruzzaman","doi":"10.1080/20476965.2022.2141141","DOIUrl":"10.1080/20476965.2022.2141141","url":null,"abstract":"<p><p>This study identified the risk factors for type 2 diabetes (T2D) and proposed a machine learning (ML) technique for predicting T2D. The risk factors for T2D were identified by multiple logistic regression (MLR) using p-value (p<0.05). Then, five ML-based techniques, including logistic regression, naïve Bayes, J48, multilayer perceptron, and random forest (RF) were employed to predict T2D. This study utilized two publicly available datasets, derived from the National Health and Nutrition Examination Survey, 2009-2010 and 2011-2012. About 4922 respondents with 387 T2D patients were included in 2009-2010 dataset, whereas 4936 respondents with 373 T2D patients were included in 2011-2012. This study identified six risk factors (age, education, marital status, SBP, smoking, and BMI) for 2009-2010 and nine risk factors (age, race, marital status, SBP, DBP, direct cholesterol, physical activity, smoking, and BMI) for 2011-2012. RF-based classifier obtained 95.9% accuracy, 95.7% sensitivity, 95.3% F-measure, and 0.946 area under the curve.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208154/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9523971","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 : 2022-10-03DOI: 10.1080/20476965.2022.2129471
Gökhan Aydin, S. Kumru
{"title":"Paving the way for increased e-health record use: elaborating intentions of Gen-Z","authors":"Gökhan Aydin, S. Kumru","doi":"10.1080/20476965.2022.2129471","DOIUrl":"https://doi.org/10.1080/20476965.2022.2129471","url":null,"abstract":"ABSTRACT This paper presents the determinants of personal e-health records adoption by the Gen-Z population and reveals barriers to use. Gen-Z members are one of the most prominent users of digital health services that have an influence on older generations’ technology adoption but have often been overlooked in scholarly research. A survey of 1,000 Gen-Z university students based on modified UTAUT was used to address this research gap. The analysis revealed the vital role of social influence in paving the way for higher adoption among Gen-Z. Moreover, significant influences of performance expectancy, facilitating conditions, and e-health literacy on behavioural intentions were detected. Effort expectancy was found to be insignificant in impacting Gen-Z’s intentions to adopt electronic health record systems. Moreover, privacy concerns acted as a barrier to adoption, yet the offsetting effect of users’ trust in health systems was shown to be instrumental in overcoming such privacy-related barriers.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49544288","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 : 2022-08-29eCollection Date: 2024-01-01DOI: 10.1080/20476965.2022.2115408
Gustavo M Bacelar-Silva, James F Cox, Pedro Rodrigues
{"title":"Achieving rapid and significant results in healthcare services by using the theory of constraints.","authors":"Gustavo M Bacelar-Silva, James F Cox, Pedro Rodrigues","doi":"10.1080/20476965.2022.2115408","DOIUrl":"10.1080/20476965.2022.2115408","url":null,"abstract":"<p><p>Lack of timeliness and capacity are seen as fundamental problems that jeopardise healthcare delivery systems everywhere. Many believe the shortage of medical providers is causing this timeliness problem. This action research presents how one doctor implemented the theory of constraints (TOC) to improve the throughput (quantity of patients treated) of his ophthalmology imaging practice by 64% in a few weeks with little to no expense. The five focusing steps (5FS) guided the TOC implementation - which included the drum-buffer-rope scheduling and buffer management - and occurred in a matter of days. The implementation provided significant bottom-line results almost immediately. This article explains each step of the 5FS in general terms followed by specific applications to healthcare services, as well as the detailed use in this action research. Although TOC successfully addressed the practice problems, this implementation was not sustained after the TOC champion left the organisation. However, this drawback provided valuable knowledge. The article provides insightful knowledge to help readers implement TOC in their environments to provide immediate and significant results at little to no expense.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10868449/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46100185","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 : 2022-08-08eCollection Date: 2024-01-01DOI: 10.1080/20476965.2022.2108729
Carina Fagefors, Björn Lantz, Peter Rosén, Levi Siljemyr
{"title":"Staff pooling in healthcare systems - results from a mixed-methods study.","authors":"Carina Fagefors, Björn Lantz, Peter Rosén, Levi Siljemyr","doi":"10.1080/20476965.2022.2108729","DOIUrl":"10.1080/20476965.2022.2108729","url":null,"abstract":"<p><p>This study examines how staff pooling can be used to create a higher service level at a predetermined total capacity in the healthcare sector. We develop new empirical knowledge through a systematic empirical study, using a mixed-methods approach, with a preliminary interview study followed by a principal quantitative survey study, with data from a multihospital system. The purpose was to explore practical barriers for a staff pooling strategy in healthcare systems. Three barriers were identified:recruitment difficulties, community view, and specialisation. Significant differences in perceived height among these barriers were found. The results from this study have important managerial implications for healthcare systems when implementing a staff pooling approach. This study contributes to the existing literature since, to the best of our knowledge, no previous research has been done where barriers to staff pools are systematically identified using a holistic approach that includes all healthcare professions in a multihospital system.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10868457/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42106924","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 : 2022-07-04eCollection Date: 2024-01-01DOI: 10.1080/20476965.2022.2096487
Ana Porroche-Escudero
{"title":"Health systems and quality of healthcare: bringing back missing discussions about gender and sexuality.","authors":"Ana Porroche-Escudero","doi":"10.1080/20476965.2022.2096487","DOIUrl":"10.1080/20476965.2022.2096487","url":null,"abstract":"<p><p>Gender and sexuality are recognised as social determinants of health. While gender and sexuality are becoming important frameworks guiding many disciplines and studies, discussions about quality of healthcare (QHC) lack a sufficient focus on these. When QHC studies have considered gender and sexuality the primary focus tends to be on the practice of individual professionals, patients' differential health seeking behaviours or outcomes. This commentary eapplies a gender and sexuality lens to Donabedian's framework to further understand the influence of gender and sexuality in shaping QHC. The framework illustrates how the very foundations of QHC (institutional structures, processes and outcomes), can increase or reduce inequalities in QHC linked to gender, sexuality (as well as other factors). The commentary suggests practices that would reduce these inequalities. In the context of present debates over inequality in medicine, science and global health , this commentary is a reminder that health systems have a critical role to play in ensuring that QHC does not perpetuate them. .</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10868419/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48866882","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 : 2022-06-12eCollection Date: 2022-01-01DOI: 10.1080/20476965.2022.2080006
Leila Abuabara, Katarzyna Werner-Masters, Alberto Paucar-Caceres
{"title":"Daily food planning for families under Covid-19: combining analytic hierarchy processes and linear optimisation.","authors":"Leila Abuabara, Katarzyna Werner-Masters, Alberto Paucar-Caceres","doi":"10.1080/20476965.2022.2080006","DOIUrl":"10.1080/20476965.2022.2080006","url":null,"abstract":"<p><p>In many households, preparation of food in normal times proves to be problematic, particularly when parents endeavour to keep their children on a balanced diet. The COVID-19 pandemic has further exacerbated this problem imposing the requirement of social distancing, which led to disruptions in the food supply chain and multiplication of responsibilities faced by families with children. The present study revisits the standard \"Diet Problem\" to address these challenges and to develop a participatory approach to provide a diversified weekly meal plan that is easy and fun but simultaneously complies with the unique requirements of each participant. This is done by providing a novel framework, which combines linear optimisation with the Parsimonious Analytic Hierarchy Process, a method for individual choices. This novel approach to participatory modelling is tested within two young family settings in Brazil. The model produced through this contemporary framework provides a weekly menu that best meets expectations of the members of a young family in the context of the COVID-19 pandemic.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2022-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/87/62/THSS_11_2080006.PMC9487970.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33477126","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 : 2022-05-26eCollection Date: 2024-01-01DOI: 10.1080/20476965.2022.2075797
Manon G Guillemette, Louis Raymond, Guy Paré
{"title":"Assessing the maturity and performance of the IT function in acute-care hospitals: a configurational view.","authors":"Manon G Guillemette, Louis Raymond, Guy Paré","doi":"10.1080/20476965.2022.2075797","DOIUrl":"10.1080/20476965.2022.2075797","url":null,"abstract":"<p><p>This study aims to characterises the maturity of IT management in hospitals, to identify the IT management configurations needed to achieve greater performance and to characterise the organisational and strategic IT contexts in which these configurations evolve. Drawing on survey data from 72 Canadian acute-care hospitals with the CIO as the main respondent, we used a configurational approach to assess the maturity of their IT functions. We classified participating hospitals in two distinct groups, each related to different levels of performance. Hospitals in the first group are characterised by a rather \"immature\" IT management model and presented low levels of IT performance. Hospitals in the second group showed more maturity in their IT management model and high levels of IT performance. Importantly, both the strategic influence of the CIO and the centrality of IT to the hospital's strategic goals were found to be significantly greater in the mature group.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10868417/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44456185","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}