Noa Gordon, Cara Dooley, Áine Murphy, Sharon Glynn, Linda Sharp, Frank Sullivan, Ray McDermott, William Watson, David Galvin
{"title":"我们做到了吗?缩小爱尔兰前列腺癌发病率的差距。","authors":"Noa Gordon, Cara Dooley, Áine Murphy, Sharon Glynn, Linda Sharp, Frank Sullivan, Ray McDermott, William Watson, David Galvin","doi":"10.1186/s13690-024-01439-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The Irish Prostate Cancer Outcomes Research (IPCOR) Study collected longitudinal data on men newly diagnosed with Prostate Cancer (PC). Understanding the nuances of disease presentation is essential, considering the high incidence of PC in Ireland. This study aims to characterise disease presentation features, identify factors related to socio demographic disparities in presentation following opportunistic screening, and shed light on potential inequality challenges within Ireland's healthcare structure.</p><p><strong>Methods: </strong>Data were collected on demographics, diagnosis, and treatment of 6,816 men newly diagnosed with PC across 16 hospitals in the Republic of Ireland from February 2016 to January 2020. A complete case analysis was carried out, complemented by a sensitivity analysis for addressing sites with high rates of missing values. Multivariable logistic regression was conducted to examine the association between various predictor variables and the initial presentation to the urology clinic subsequent to opportunistic screening.</p><p><strong>Results: </strong>A multivariable logistic regression model revealed that the type of hospital was a key determinant in post-opportunistic screening presentation, with patients in public hospitals 45.7% more likely to be presented following screening compared to those in private hospitals. Urban residents were 34% more likely to present following screening than rural ones. Age negatively influenced presentation following screening likelihood, decreasing by 3.4% yearly.</p><p><strong>Discussion: </strong>Our research has highlighted the key features of PC presentation in Ireland, revealing potential inequalities affecting mainly urban populations, middle socioeconomic groups, and individuals with inadequate healthcare coverage. While the differences we observed in various groups may appear subtle and may indicate the success of the Rapid Access Prostate Clinics, they are still significant in pinpointing specific populations that require special attention.</p><p><strong>Conclusions: </strong>By addressing these nuanced differences in access to healthcare, socioeconomic status, and urban versus rural residence and implementing tailored strategies, we can work towards closing disparity gaps in PC, ultimately leading to improved health outcomes and equity across all population segments.</p>","PeriodicalId":48578,"journal":{"name":"Archives of Public Health","volume":"82 1","pages":"210"},"PeriodicalIF":3.2000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11562076/pdf/","citationCount":"0","resultStr":"{\"title\":\"Are we there yet? Closing the gap of prostate cancer presentation disparities in Ireland.\",\"authors\":\"Noa Gordon, Cara Dooley, Áine Murphy, Sharon Glynn, Linda Sharp, Frank Sullivan, Ray McDermott, William Watson, David Galvin\",\"doi\":\"10.1186/s13690-024-01439-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The Irish Prostate Cancer Outcomes Research (IPCOR) Study collected longitudinal data on men newly diagnosed with Prostate Cancer (PC). Understanding the nuances of disease presentation is essential, considering the high incidence of PC in Ireland. This study aims to characterise disease presentation features, identify factors related to socio demographic disparities in presentation following opportunistic screening, and shed light on potential inequality challenges within Ireland's healthcare structure.</p><p><strong>Methods: </strong>Data were collected on demographics, diagnosis, and treatment of 6,816 men newly diagnosed with PC across 16 hospitals in the Republic of Ireland from February 2016 to January 2020. A complete case analysis was carried out, complemented by a sensitivity analysis for addressing sites with high rates of missing values. Multivariable logistic regression was conducted to examine the association between various predictor variables and the initial presentation to the urology clinic subsequent to opportunistic screening.</p><p><strong>Results: </strong>A multivariable logistic regression model revealed that the type of hospital was a key determinant in post-opportunistic screening presentation, with patients in public hospitals 45.7% more likely to be presented following screening compared to those in private hospitals. Urban residents were 34% more likely to present following screening than rural ones. Age negatively influenced presentation following screening likelihood, decreasing by 3.4% yearly.</p><p><strong>Discussion: </strong>Our research has highlighted the key features of PC presentation in Ireland, revealing potential inequalities affecting mainly urban populations, middle socioeconomic groups, and individuals with inadequate healthcare coverage. While the differences we observed in various groups may appear subtle and may indicate the success of the Rapid Access Prostate Clinics, they are still significant in pinpointing specific populations that require special attention.</p><p><strong>Conclusions: </strong>By addressing these nuanced differences in access to healthcare, socioeconomic status, and urban versus rural residence and implementing tailored strategies, we can work towards closing disparity gaps in PC, ultimately leading to improved health outcomes and equity across all population segments.</p>\",\"PeriodicalId\":48578,\"journal\":{\"name\":\"Archives of Public Health\",\"volume\":\"82 1\",\"pages\":\"210\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11562076/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13690-024-01439-6\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13690-024-01439-6","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
摘要
简介爱尔兰前列腺癌结果研究(IPCOR)收集了新诊断出患有前列腺癌(PC)的男性的纵向数据。考虑到爱尔兰前列腺癌的高发病率,了解疾病表现的细微差别至关重要。这项研究旨在描述疾病的表现特征,确定与机会性筛查后表现的社会人口差异有关的因素,并揭示爱尔兰医疗保健结构中潜在的不平等挑战:从 2016 年 2 月至 2020 年 1 月,在爱尔兰共和国的 16 家医院收集了 6816 名新诊断为 PC 的男性的人口统计学、诊断和治疗数据。对病例进行了全面分析,并针对缺失率较高的医院进行了敏感性分析。进行了多变量逻辑回归,以检验各种预测变量与机会性筛查后首次到泌尿科门诊就诊之间的关联:多变量逻辑回归模型显示,医院类型是机会性筛查后就诊的关键决定因素,与私立医院相比,公立医院患者筛查后就诊的几率要高出45.7%。城市居民在筛查后就诊的几率比农村居民高出 34%。年龄对筛查后就诊的可能性有负面影响,每年下降 3.4%:我们的研究强调了 PC 在爱尔兰发病的主要特点,揭示了主要影响城市人口、中等社会经济群体和医疗保险覆盖面不足的个人的潜在不平等现象。虽然我们在不同群体中观察到的差异可能看似微妙,也可能表明快速前列腺门诊取得了成功,但这些差异在确定需要特别关注的特定人群方面仍具有重要意义:通过解决在获得医疗服务、社会经济地位、城市与农村居住地等方面存在的细微差别,并实施有针对性的策略,我们可以努力缩小 PC 方面的差距,最终改善所有人群的健康状况并实现公平。
Are we there yet? Closing the gap of prostate cancer presentation disparities in Ireland.
Introduction: The Irish Prostate Cancer Outcomes Research (IPCOR) Study collected longitudinal data on men newly diagnosed with Prostate Cancer (PC). Understanding the nuances of disease presentation is essential, considering the high incidence of PC in Ireland. This study aims to characterise disease presentation features, identify factors related to socio demographic disparities in presentation following opportunistic screening, and shed light on potential inequality challenges within Ireland's healthcare structure.
Methods: Data were collected on demographics, diagnosis, and treatment of 6,816 men newly diagnosed with PC across 16 hospitals in the Republic of Ireland from February 2016 to January 2020. A complete case analysis was carried out, complemented by a sensitivity analysis for addressing sites with high rates of missing values. Multivariable logistic regression was conducted to examine the association between various predictor variables and the initial presentation to the urology clinic subsequent to opportunistic screening.
Results: A multivariable logistic regression model revealed that the type of hospital was a key determinant in post-opportunistic screening presentation, with patients in public hospitals 45.7% more likely to be presented following screening compared to those in private hospitals. Urban residents were 34% more likely to present following screening than rural ones. Age negatively influenced presentation following screening likelihood, decreasing by 3.4% yearly.
Discussion: Our research has highlighted the key features of PC presentation in Ireland, revealing potential inequalities affecting mainly urban populations, middle socioeconomic groups, and individuals with inadequate healthcare coverage. While the differences we observed in various groups may appear subtle and may indicate the success of the Rapid Access Prostate Clinics, they are still significant in pinpointing specific populations that require special attention.
Conclusions: By addressing these nuanced differences in access to healthcare, socioeconomic status, and urban versus rural residence and implementing tailored strategies, we can work towards closing disparity gaps in PC, ultimately leading to improved health outcomes and equity across all population segments.
期刊介绍:
rchives of Public Health is a broad scope public health journal, dedicated to publishing all sound science in the field of public health. The journal aims to better the understanding of the health of populations. The journal contributes to public health knowledge, enhances the interaction between research, policy and practice and stimulates public health monitoring and indicator development. The journal considers submissions on health outcomes and their determinants, with clear statements about the public health and policy implications. Archives of Public Health welcomes methodological papers (e.g., on study design and bias), papers on health services research, health economics, community interventions, and epidemiological studies dealing with international comparisons, the determinants of inequality in health, and the environmental, behavioural, social, demographic and occupational correlates of health and diseases.