Health Systems最新文献

Using routine health care data to develop and validate a system dynamics simulation model of frailty trajectories in an ageing population. 利用常规卫生保健数据开发和验证老龄化人口脆弱轨迹的系统动力学模拟模型。

IF 1.2

Health Systems Pub Date : 2025-01-31 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2025.2459364

Tracey England, Bronagh Walsh, Sally Brailsford, Carole Fogg, Simon de Lusignan, Simon Ds Fraser, Paul Roderick, Scott Harris, Abigail Barkham, Harnish P Patel, Andrew Clegg

{"title":"Using routine health care data to develop and validate a system dynamics simulation model of frailty trajectories in an ageing population.","authors":"Tracey England, Bronagh Walsh, Sally Brailsford, Carole Fogg, Simon de Lusignan, Simon Ds Fraser, Paul Roderick, Scott Harris, Abigail Barkham, Harnish P Patel, Andrew Clegg","doi":"10.1080/20476965.2025.2459364","DOIUrl":"10.1080/20476965.2025.2459364","url":null,"abstract":"Frailty is common in older adults and has a substantial impact on patient outcomes and service use. Information to support service planning, including prevalence in middle-aged adults and patterns of frailty progression at population level, is scarce. This paper presents a system dynamics model describing the dynamics of frailty and ageing within a population of patients aged ≥50, based on linked data for 2.2 million patients from primary care practices in England. The purpose of the model is to estimate the incidence and prevalence of frailty in an ageing population over time. The model was developed in consultation with stakeholders (patients, carers, clinicians, and commissioners) and validated against another large dataset (1.38 million patients) from Wales. It was then scaled up to the population of England, using Office for National Statistics projections (to 2027). The baseline results, subject to the assumption that the frailty transition parameters remain constant over this period, suggest that the number of people living with frailty will increase as the population ages, and that those with mild-moderate frailty are likely to have the greatest impact on demand. This paper focuses on model development and validation, highlighting the benefits and challenges of using large routine health datasets.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 3","pages":"195-207"},"PeriodicalIF":1.2,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12364089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973391","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}

引用次数: 0

A holistic view on the COVID-19 epidemic process: smoking cessation behaviour, epidemic process and precautions. 从整体看新冠肺炎的流行过程：戒烟行为、流行过程和预防措施。

IF 1.2

Health Systems Pub Date : 2025-01-11 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2025.2450342

Muammer Albayrak, Ahmet Albayrak

{"title":"A holistic view on the COVID-19 epidemic process: smoking cessation behaviour, epidemic process and precautions.","authors":"Muammer Albayrak, Ahmet Albayrak","doi":"10.1080/20476965.2025.2450342","DOIUrl":"10.1080/20476965.2025.2450342","url":null,"abstract":"The aim of this study is to investigate the smoking cessation tendencies of people with different levels of smoking addiction during the COVID-19 epidemic process and to investigate the variables that most affect the risk perception of being Covid-19. Data were collected between November 8 and December 20 2021. A total of 898 participants living in the Turkey aged 18 years or older were recruited from Google online form panel. In general, it can be said that the higher the education level and the higher the income, the better the people adapt to the epidemic conditions. During the epidemic, it is seen that people generally (88.2%) get the news about the process from official sources. It is seen that the participants trust the ministry of health and the scientific committee at a rate of 67.1% in the epidemic management. It is possible that those who have chronic diseases and are addicted to cigarettes will experience the COVID-19 process more heavily. However, in this study, it could not be said that those who have a chronic disease and are addicted to smoking are more inclined to quit smoking.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 3","pages":"188-194"},"PeriodicalIF":1.2,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12364087/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972897","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}

引用次数: 0

Acquisition of patients' EHR information under ED congestion - an empirical investigation. 急诊科拥挤情况下患者电子病历信息获取的实证研究。

IF 1.2

Health Systems Pub Date : 2024-12-28 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2024.2444954

Ofir Ben-Assuli, David Gefen, Noam Shamir

{"title":"Acquisition of patients' EHR information under ED congestion - an empirical investigation.","authors":"Ofir Ben-Assuli, David Gefen, Noam Shamir","doi":"10.1080/20476965.2024.2444954","DOIUrl":"10.1080/20476965.2024.2444954","url":null,"abstract":"We examine the information acquisition process regarding a patient's status under emergency department (ED) congestion conditions. We focus on two key information channels: 1) Electronic Health Record (EHR) that provide the patient's medical history and 2) Medical tests conducted in real-time. Whereas the EHR provides the physician with easily accessible information with little delay, real-time medical tests can provide more current information, but are time-consuming. We examine physicians' decisions in cases of ED congestion, using a dataset that includes more than 1.4 million visits. When congestion is low, the information channels are complementary - acquiring information from the EHR is positively correlated with information acquisition from the medical tests channel, representing an incentive for the physician to acquire all possible information before providing diagnosis. However, as the congestion increases, there is less reliance on medical tests; this effect is amplified when EHR information is used. To avoid excessive congestion, physicians apparently refrain from sending patients for medical tests, and compensate for loss of information using EHR information. The impact of high system workload on the quality of medical service is an essential concern for managers; we show the indirect benefit of investment in EHRs through reduced blood-tests without increasing revisit rates.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 3","pages":"223-242"},"PeriodicalIF":1.2,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12364100/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972982","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}

引用次数: 0

Preeclampsia prediction via machine learning: a systematic literature review. 通过机器学习预测子痫前期：系统的文献综述。

IF 1.2

Health Systems Pub Date : 2024-12-09 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2024.2435845

Mert Özcan, Serhat Peker

{"title":"Preeclampsia prediction via machine learning: a systematic literature review.","authors":"Mert Özcan, Serhat Peker","doi":"10.1080/20476965.2024.2435845","DOIUrl":"10.1080/20476965.2024.2435845","url":null,"abstract":"Preeclampsia, a life-threatening condition in late pregnancy, has unclear causes and risk factors. Machine learning (ML) offers a promising approach for early prediction. This systematic review analyzes state-of-the-art studies on preeclampsia prediction using ML approaches. We reviewed articles published between January 1 2013 and December 31 2023, from Google Scholar and PubMed. Of 183 identified studies, 35 were selected based on inclusion and exclusion criteria. Our findings reveal that key predictive features commonly used in machine learning models include age, number of pregnancies, body mass index, diabetes, hypertension, and blood pressure. In contrast, factors such as medications, genetic data, and clinical imaging were considered less frequently. Random Forest, Support Vector Machine, Logistic Regression, Decision Tree, and Naïve Bayes were the most commonly used algorithms. Most studies were conducted in China and the USA, indicating geographic concentration. The field has seen a notable rise in research, especially in the past two years, though many studies rely on small datasets from single hospitals. This review highlights the need for more diverse and comprehensive research to enhance early detection and management of preeclampsia.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 3","pages":"208-222"},"PeriodicalIF":1.2,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12364110/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973376","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}

引用次数: 0

From structures to systems: towards a model of ethical healthcare. 从结构到系统：走向道德医疗模式。

IF 1.2

Health Systems Pub Date : 2024-12-07 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2024.2436580

Constantine Manolchev, Marco Campenni, Navonil Mustafee

{"title":"From structures to systems: towards a model of ethical healthcare.","authors":"Constantine Manolchev, Marco Campenni, Navonil Mustafee","doi":"10.1080/20476965.2024.2436580","DOIUrl":"10.1080/20476965.2024.2436580","url":null,"abstract":"\"Hurt people hurt people\" is a phrase which summarises the cyclical nature of painful experiences and harmful actions. Arguably, this cycle of hurt and harm applies to the UK's National Health Service (NHS), where employees are reporting record low levels of physical and mental wellbeing, while experiencing a climate of hostility, bullying and harassment, and pressures to meet targets. Such working environments carry several risks, not only for the employees themselves but also in terms of clinical outcomes for patients. As a result, a range of systemic and targeted infrastructure interventions have been trialled in several NHS hospitals (managed in the UK by independent Trusts), seeking to promote a culture of compassion, and improve the psychological safety of workers. However, the effectiveness of such measures in achieving ethical working environments and preventing unethical behaviours, has been questioned. We join the ongoing debate by proposing the need to go beyond ethical infrastructures and instead consider ethical environments in their systemic complexity. We conclude, by putting forward a model of a complex and ethical health system, which incorporates workplace networks, policy frameworks, and accounts for regional demographics.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 3","pages":"243-248"},"PeriodicalIF":1.2,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12364096/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972992","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}

引用次数: 0

The biopsychosocial perspective on designing mobile health apps for self-management of chronic headaches. 设计用于慢性头痛自我管理的移动健康应用程序的生物心理社会视角。

IF 1.2

Health Systems Pub Date : 2024-12-05 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2024.2435815

Polina Durneva, Cynthia LeRouge

{"title":"The biopsychosocial perspective on designing mobile health apps for self-management of chronic headaches.","authors":"Polina Durneva, Cynthia LeRouge","doi":"10.1080/20476965.2024.2435815","DOIUrl":"10.1080/20476965.2024.2435815","url":null,"abstract":"This study identifies user-preferred features in apps for self-management of chronic headaches from the biopsychosocial perspective and examines the extent to which such features are represented in the current apps. We first conducted semi-structured interviews to identify user-preferred features that tap into the biopsychosocial domains of health. Then, we conducted a landscape analysis to review existing apps with respect to the identified features. Our findings revealed participants' preferences for features in apps to self-manage chronic headaches and were categorised based on the biopsychosocial model. Further, our landscape analysis showed that several features (e.g. physical symptom tracker) are highly present in existing apps, while most of the preferred features (e.g. journaling) are scarce. The identified features appear to align with theory-based behaviour change techniques and, therefore, have implications for health behaviour change. In addition, our findings demonstrate that most of the user-preferred biopsychosocial features are not widely present in the existing headache apps. Overall, our study highlights the importance of incorporating user-preferred features that align with the biopsychosocial needs of headache app users. By acknowledging and addressing these needs, we can broaden the existing perspectives concerning app design and evaluation and cater to the holistic health experiences of users.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 3","pages":"167-187"},"PeriodicalIF":1.2,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12364103/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973402","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}

引用次数: 0

Weekly home healthcare routing and scheduling with overlapping patient clusters. 具有重叠患者群的每周家庭医疗保健路由和调度。

IF 1.2

Health Systems Pub Date : 2024-11-22 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2024.2422494

Ai Zhao, Jonathan F Bard

{"title":"Weekly home healthcare routing and scheduling with overlapping patient clusters.","authors":"Ai Zhao, Jonathan F Bard","doi":"10.1080/20476965.2024.2422494","DOIUrl":"10.1080/20476965.2024.2422494","url":null,"abstract":"This paper presents a two-stage approach for efficiently solving a weekly home healthcare scheduling and routing problem. Two new mixed-integer linear programming (MILP) models are proposed, where the first is used for making patient-therapist assignments over the week, and the second for deriving daily routes. In both MILPs, the objective function contains a hierarchically weighted set of goals. The major components of the full problem are continuity of care, downgrading, workload balance, time windows, overtime, and mileage costs. A new preprocessing procedure is developed to limit the service area of each therapist to a single group of overlapping patients. Once the groups are formed, weekly schedules are constructed with the MILPs. The overall objective is to minimize the number of unscheduled visits and total travel and service costs subject to the operational constraints mentioned above. Computational experiments are conducted with real data sets provided by a national home health agency. The results show that optimal solutions can be obtained quickly at both the assignment and routing stages and that they are comparable to the results obtained with a proposed integrated model. In either case, the corresponding schedules were better on all metrics when compared to the schedules used in practice.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"14 2","pages":"145-165"},"PeriodicalIF":1.2,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12107652/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144175209","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}

引用次数: 0

Towards new frontiers of healthcare systems research using artificial intelligence and generative AI. 利用人工智能和生成式人工智能开辟医疗保健系统研究的新领域。

IF 1.2

Health Systems Pub Date : 2024-11-20 eCollection Date: 2024-01-01 DOI: 10.1080/20476965.2024.2402128

Samir Chatterjee, Ann Fruhling, Kathy Kotiadis, Daniel Gartner

引用次数: 0

Assistance systems for patient positioning in radiotherapy practice. 放射治疗中病人定位辅助系统。

IF 1.2

Health Systems Pub Date : 2024-10-28 eCollection Date: 2024-01-01 DOI: 10.1080/20476965.2024.2395567

Ralf Müller-Polyzou, Melanie Reuter-Oppermann, Jasmin Feger, Nicolas Meier, Anthimos Georgiadis

引用次数: 0

Next-generation fall detection: harnessing human pose estimation and transformer technology. 下一代跌倒检测：利用人体姿态估计和变压器技术。

IF 1.2

Health Systems Pub Date : 2024-10-26 eCollection Date: 2025-01-01 DOI: 10.1080/20476965.2024.2395574

Edward R Sykes

引用次数: 0