Health Systems最新文献_第8页

Priority setting for health system strengthening in low income countries. A qualitative case study illustrating the complexities. 确定加强低收入国家卫生系统的重点。说明复杂性的定性案例研究。

IF 1.8

Health Systems Pub Date : 2020-05-18 eCollection Date: 2021-01-01 DOI: 10.1080/20476965.2020.1758596

Beverley M Essue, Lydia Kapiriri

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引用次数: 3

The importance of widespread testing for COVID-19 pandemic: systems thinking for drive-through testing sites. COVID-19大流行广泛检测的重要性:免下车检测点的系统思考

IF 1.8

Health Systems Pub Date : 2020-04-26 eCollection Date: 2020-01-01 DOI: 10.1080/20476965.2020.1758000

Ozgur M Araz, Adrian Ramirez-Nafarrate, Megan Jehn, Fernando A Wilson

{"title":"The importance of widespread testing for COVID-19 pandemic: systems thinking for drive-through testing sites.","authors":"Ozgur M Araz, Adrian Ramirez-Nafarrate, Megan Jehn, Fernando A Wilson","doi":"10.1080/20476965.2020.1758000","DOIUrl":"https://doi.org/10.1080/20476965.2020.1758000","url":null,"abstract":"On 11 March 2020, the World Health Organisation (WHO) declared COVID-19 a pandemic. Early epidemiological estimates show that COVID-19 is highly transmissible, infecting populations across the globe in a short amount of time. WHO has recommended widespread clinical testing in order to contain COVID-19. However, mass testing in emergency department (ED) settings may result in crowded EDs and increase transmission risk for healthcare staff and other ED patients. Drive-through COVID-19 testing sites are an effective solution to quickly collect samples from suspected cases with minimal risk to healthcare personnel and other patients. Nevertheless, there are many logistical and operational challenges, such as shortages of testing kits, limited numbers of healthcare staff and long delays for collecting samples. Solving these problems requires an understanding of disease dynamics and epidemiology, as well as the logistics of mass distribution. In this position paper, we provide a conceptual framework for addressing these challenges, as well as some insights from prior literature and experience on developing decision support tools for public health departments.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"9 2","pages":"119-123"},"PeriodicalIF":1.8,"publicationDate":"2020-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/20476965.2020.1758000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38394496","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: 42

Operational analysis of school-based delivery models to vaccinate children against influenza. 以学校为本为儿童接种流感疫苗模式的运作分析。

IF 1.8

Health Systems Pub Date : 2020-04-22 eCollection Date: 2021-01-01 DOI: 10.1080/20476965.2020.1754733

Luca Grieco, Mariya Melnychuk, Angus Ramsay, Abigail Baim-Lance, Simon Turner, Andrew Wilshere, Naomi Fulop, Steve Morris, Martin Utley

{"title":"Operational analysis of school-based delivery models to vaccinate children against influenza.","authors":"Luca Grieco, Mariya Melnychuk, Angus Ramsay, Abigail Baim-Lance, Simon Turner, Andrew Wilshere, Naomi Fulop, Steve Morris, Martin Utley","doi":"10.1080/20476965.2020.1754733","DOIUrl":"https://doi.org/10.1080/20476965.2020.1754733","url":null,"abstract":"Large-scale immunisation programmes against seasonal influenza are characterised by logistical challenges related to the need for vaccinating large cohorts of people in a short amount of time. Careful operational planning of resources is essential for a successful implementation of such programmes. We focused on the process of child vaccination in schools and analysed the staffing and workflow aspects of a school-aged children vaccination programme in England. Our objectives were to document vaccination processes and analyse times and costs associated with different models deployed across England. We collected data through direct non-participatory observations. Statistical data analysis enabled us to identify potential factors influencing vaccine delivery time and informed the development of a tool to simulate vaccination sessions. Using this tool, we carried out scenario analyses and explored trade-offs between session times and costs in different settings. Our work ultimately supported the local implementation of school-based vaccination.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"10 3","pages":"212-221"},"PeriodicalIF":1.8,"publicationDate":"2020-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/20476965.2020.1754733","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39299553","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: 2

An analytical framework for group simulation model building. 群体仿真模型构建的分析框架。

IF 1.8

Health Systems Pub Date : 2020-04-09 eCollection Date: 2021-01-01 DOI: 10.1080/20476965.2020.1740613

Timothy Bolt, Steffen Bayer, Maria Kapsali, Sally Brailsford

引用次数: 2

Can structured EHR data support clinical coding? A data mining approach. 结构化的电子病历数据能支持临床编码吗?一种数据挖掘方法。

IF 1.8

Health Systems Pub Date : 2020-03-01 DOI: 10.1080/20476965.2020.1729666

José Carlos Ferrão, Mónica Duarte Oliveira, Filipe Janela, Henrique M G Martins, Daniel Gartner

引用次数: 7

Improving chemotherapy infusion operations through the simulation of scheduling heuristics: a case study. 通过模拟调度启发式方法改进化疗输液操作：案例研究。