{"title":"确诊癌症患者的三年医院服务使用轨迹:回顾性队列研究","authors":"","doi":"10.1016/j.canep.2024.102676","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Information regarding hospital service use by people newly diagnosed with cancer can inform patterns of healthcare utilisation and resource demands. This study aims to identify characteristics of group-based trajectories of hospital service use three years after an individual was diagnosed with cancer; and determine factors predictive of trajectory group membership.</p></div><div><h3>Method</h3><p>A group-based trajectory analysis of hospital service use of people aged ≥30 years who had a new diagnosis of cancer during 2018 in New South Wales, Australia was conducted. Linked cancer registry, hospital and mortality data were examined for a three-year period after diagnosis. Group-based trajectory models were derived based on number of hospital admissions. Multinominal logistic regression examined predictors of trajectory group membership.</p></div><div><h3>Results</h3><p>Of the 44,577 new cancer diagnosis patients, 29,085 (65.2 %) were hospitalised at least once since their cancer diagnosis. Four distinct trajectory groups of hospital users were identified: Low (68.4 %), Very-Low (25.1 %), Moderate-Chronic (2.2 %), and Early-High (4.2 %). Key predictors of trajectory group membership were age group, cancer type, degree of cancer spread, prior history of cancer, receiving chemotherapy, and presence of comorbidities, including renal disease, moderate/serious liver disease, or anxiety.</p></div><div><h3>Conclusions</h3><p>Comorbidities should be considered in cancer treatment and management decision making. Caring for people diagnosed with cancer with multimorbidity requires multidisciplinary shared care.</p></div>","PeriodicalId":56322,"journal":{"name":"Cancer Epidemiology","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1877782124001553/pdfft?md5=de1638037fdaf88adc27bf8f3758b4c2&pid=1-s2.0-S1877782124001553-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Three-year hospital service use trajectories of people diagnosed with cancer: A retrospective cohort study\",\"authors\":\"\",\"doi\":\"10.1016/j.canep.2024.102676\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Information regarding hospital service use by people newly diagnosed with cancer can inform patterns of healthcare utilisation and resource demands. This study aims to identify characteristics of group-based trajectories of hospital service use three years after an individual was diagnosed with cancer; and determine factors predictive of trajectory group membership.</p></div><div><h3>Method</h3><p>A group-based trajectory analysis of hospital service use of people aged ≥30 years who had a new diagnosis of cancer during 2018 in New South Wales, Australia was conducted. Linked cancer registry, hospital and mortality data were examined for a three-year period after diagnosis. Group-based trajectory models were derived based on number of hospital admissions. Multinominal logistic regression examined predictors of trajectory group membership.</p></div><div><h3>Results</h3><p>Of the 44,577 new cancer diagnosis patients, 29,085 (65.2 %) were hospitalised at least once since their cancer diagnosis. Four distinct trajectory groups of hospital users were identified: Low (68.4 %), Very-Low (25.1 %), Moderate-Chronic (2.2 %), and Early-High (4.2 %). Key predictors of trajectory group membership were age group, cancer type, degree of cancer spread, prior history of cancer, receiving chemotherapy, and presence of comorbidities, including renal disease, moderate/serious liver disease, or anxiety.</p></div><div><h3>Conclusions</h3><p>Comorbidities should be considered in cancer treatment and management decision making. Caring for people diagnosed with cancer with multimorbidity requires multidisciplinary shared care.</p></div>\",\"PeriodicalId\":56322,\"journal\":{\"name\":\"Cancer Epidemiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1877782124001553/pdfft?md5=de1638037fdaf88adc27bf8f3758b4c2&pid=1-s2.0-S1877782124001553-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1877782124001553\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877782124001553","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
Three-year hospital service use trajectories of people diagnosed with cancer: A retrospective cohort study
Background
Information regarding hospital service use by people newly diagnosed with cancer can inform patterns of healthcare utilisation and resource demands. This study aims to identify characteristics of group-based trajectories of hospital service use three years after an individual was diagnosed with cancer; and determine factors predictive of trajectory group membership.
Method
A group-based trajectory analysis of hospital service use of people aged ≥30 years who had a new diagnosis of cancer during 2018 in New South Wales, Australia was conducted. Linked cancer registry, hospital and mortality data were examined for a three-year period after diagnosis. Group-based trajectory models were derived based on number of hospital admissions. Multinominal logistic regression examined predictors of trajectory group membership.
Results
Of the 44,577 new cancer diagnosis patients, 29,085 (65.2 %) were hospitalised at least once since their cancer diagnosis. Four distinct trajectory groups of hospital users were identified: Low (68.4 %), Very-Low (25.1 %), Moderate-Chronic (2.2 %), and Early-High (4.2 %). Key predictors of trajectory group membership were age group, cancer type, degree of cancer spread, prior history of cancer, receiving chemotherapy, and presence of comorbidities, including renal disease, moderate/serious liver disease, or anxiety.
Conclusions
Comorbidities should be considered in cancer treatment and management decision making. Caring for people diagnosed with cancer with multimorbidity requires multidisciplinary shared care.
期刊介绍:
Cancer Epidemiology is dedicated to increasing understanding about cancer causes, prevention and control. The scope of the journal embraces all aspects of cancer epidemiology including:
• Descriptive epidemiology
• Studies of risk factors for disease initiation, development and prognosis
• Screening and early detection
• Prevention and control
• Methodological issues
The journal publishes original research articles (full length and short reports), systematic reviews and meta-analyses, editorials, commentaries and letters to the editor commenting on previously published research.