scholarly journals Changing roles of population-based cancer registries in Australia

2015 ◽  
Vol 39 (4) ◽  
pp. 425 ◽  
Author(s):  
David Roder ◽  
Nicola Creighton ◽  
Deborah Baker ◽  
Richard Walton ◽  
Sanchia Aranda ◽  
...  
Keyword(s):  
Health System ◽  
Administrative Data ◽  
Cancer Incidence ◽  
Interval Cancer ◽  
Cancer Registries ◽  
Population Based ◽  
Registry Data ◽  
Multiple Primary Cancers ◽  
Clinical Quality ◽  
Cancer Data

Registries have key roles in cancer incidence, mortality and survival monitoring and in showing disparities across the population. Incidence monitoring began in New South Wales in 1972 and other jurisdictions soon followed. Registry data are used to evaluate outcomes of preventive, screening, treatment and support services. They have shown decreases in cancer incidence following interventions and have been used for workforce and other infrastructure planning. Crude markers of optimal radiotherapy and chemotherapy exist and registry data are used to show shortfalls against these markers. The data are also used to investigate cancer clusters and environmental concerns. Survival data are used to assess service performance and interval cancer data are used in screening accreditation. Registries enable determination of risk of multiple primary cancers. Clinical quality registries are used for clinical quality improvement. Population-based cancer registries and linked administrative data complement clinical registries by providing high-level system-wide data. The USA Commission on Cancer has long used registries for quality assurance and service accreditation. Increasingly population-based registry data in Australia are linked with administrative data on service delivery to assess system performance. Addition of tumour stage and other prognostic indicators is important for these analyses and is facilitated by the roll-out of structured pathology reporting. Data linkage with administrative data, following checks on the quality of these data, enables assessment of patterns of care and other performance indicators for health-system monitoring. Australian cancer registries have evolved and increasingly are contributing to broader information networks for health system management.

Ascertainment and evaluation of interval cancers in population-based mammography screening programmes: a collaborative study in four European centres

2005 ◽  
Vol 12 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Sven Törnberg ◽  
Mary Codd ◽  
Vitor Rodrigues ◽  
Nereo Segnan ◽  
Antonio Ponti
Keyword(s):  
Health Care ◽  
Cancer Registry ◽  
Mammography Screening ◽  
Breast Cancer Incidence ◽  
Collaborative Study ◽  
Interval Cancer ◽  
Cancer Registries ◽  
Population Based ◽  
Registry Data ◽  
Cancer Registry Data

Objectives: The purpose of the present study was to estimate the interval cancer (IC) rates in four population-based mammography screening programmes in four countries with different health-care environments, different access to cancer registry data, and different age groupsof women invited. Setting: The screening programmes in Coimbra (Portugal), Dublin (Ireland), Stockholm (Sweden), and Turin (Italy) participated in the study. Methods: All cancer cases were searched for in cancer registries. IC rates and other outcome measures from the screeningprogrammes were estimated and compared between the centres. Poisson regression model was used to estimate the proportional incidence based on IC rate in relation to expected total breast cancer incidence rate in the absence of screening. Results: There was a more than tenfold difference inthe number of invited women at the first round between the involved centres. The IC rates varied between 4.3 and 23.8 per 10,000 women screened. The levels of IC rates in relation to the estimated background incidence varied from 0.35 up to 0.46 depending on age groups involved in the programme,but did not differ significantly between three of the four involved centres. Conclusions: IC rates were quite similar between three of the four centres despite the differences in target population, invited ages, length of building-up of the programmes and different health-care organizations.Different access to complete cancer registry data is likely to explain the lower IC rates in the fourth centre.

scholarly journals Incidence and Trends of the Leading Cancers with Elevated Incidence Among American Indian and Alaska Native Populations, 2012–2016

2020 ◽  
Author(s):  
Stephanie C Melkonian ◽  
Hannah K Weir ◽  
Melissa A Jim ◽  
Bailey Preikschat ◽  
Donald Haverkamp ◽  
...  
Keyword(s):  
American Indian ◽  
Cancer Incidence ◽  
Alaska Native ◽  
Cancer Registries ◽  
Population Based ◽  
Incidence Rates ◽  
Breast Cancers ◽  
Age Adjusted Rates ◽  
Incident Cases ◽  
Hispanic White

Abstract Cancer incidence varies among American Indian and Alaska Native (AI/AN) populations, as well as between AI/AN and White populations. This study examined trends for cancers with elevated incidence among AI/AN compared with non-Hispanic White populations and estimated potentially avoidable incident cases among AI/AN populations. Incident cases diagnosed during 2012–2016 were identified from population-based cancer registries and linked with the Indian Health Service patient registration databases to improve racial classification of AI/AN populations. Age-adjusted rates (per 100,000) and trends were calculated for cancers with elevated incidence among AI/AN compared with non-Hispanic White populations (rate ratio >1.0), by region. Trends were estimated using joinpoint regression analyses. Expected cancers were estimated by applying age-specific cancer incidence rates among non-Hispanic White populations to population estimates for AI/AN populations. Excess cancer cases among AI/AN populations were defined as observed minus expected cases. Liver, stomach, kidney, lung, colorectal and female breast cancers had higher incidence rate among AI/AN populations across most regions. Between 2012 and 2016, nearly 5,200 excess cancers were diagnosed among AI/AN populations, with the largest number of excess cancers (1,925) occurring in the Southern Plains region. Culturally informed efforts may reduce cancer disparities associated with these and other cancers among AI/AN populations.

scholarly journals Differences in cancer incidence and pattern between urban and rural Nepal: one-year experience from two population-based cancer registries

2021 ◽  
Vol 15 ◽  
Author(s):  
Ranjeeta Subedi ◽  
Atul Budukh ◽  
Sandhya Chapagain ◽  
Pradip Gyanwali ◽  
Bishal Gyawali ◽  
...  
Keyword(s):  
Cancer Incidence ◽  
Cancer Registries ◽  
Population Based ◽  
One Year ◽  
Rural Nepal

Prostate cancer incidence and predictions: Observational Study (Monastir, Tunisia: 2002-2030)

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R Bannour ◽  
I Zemni ◽  
C Ben Nasrallah ◽  
N Aroua ◽  
M Kacem ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Incidence ◽  
Cancer Registries ◽  
Population Based ◽  
Incidence Rates ◽  
Cancer Site ◽  
International Agency ◽  
Crude Incidence ◽  
The Future ◽  
Spss Software

Abstract Introduction Cancer is an eminent public health issue in the developing countries. The risk factors incriminated in cancer higher incidence are multiple such as the growing population rates, increasing tobacco consumption, the changes of diet and lifestyle. In Tunisia, there are three population-based cancer registries at the present time providing data on cancer incidence and survival. According to the data published by WHO International Agency for Research on Cancer (IACR) (GLOBOCAN 2018), prostate cancer in Tunisia ranks fifth among cancers with almost 819 new cases per year. The aim of this study was to we report trends in the cancer incidence during the span of time between 2002 and 2013 from the population-based cancer registry of the centre of Tunisia, and to predict the future number of cancer cases by 2030. Methods The cancer incidence data were collected from the Center cancer registries from 2003 to 2012.The data were stratified by cancer site, sex and age. We used SPSS software in order to calculate the crude incidence rates and age-standardized incidence rates. SPSS software was used in order to estimate the future number of cancer cases by 2030. Results A total of 725 cases of prostate cancer were enregistrated. The mean age of patients was 71.6 ±10.61years. The crude incidence rates were estimated 23.537. The standardized incidence rate was 33.92. A significant positive trend was noted with a b = 0133 and p < 10-3. 1033 new cases are predicted by 2030 Conclusions The data of the cancer register of the center shows that the incidence of cancer is rising, and it is consistent with the National cancer intelligence, but some cancer incidence showed slightly higher, such as thyroid cancer and prostate cancer. In order to face this alarming situation, many preventive steps should be done such as strengthening early screening and diagnosis of cancer, improving clinical research in order to better control the risks factors. Key messages Prediction of the future number of cancer cases is of great interest to society. Prostate cancer in Tunisia ranks fifth among cancers.

scholarly journals Pilot Study on the Application of Telemedicine as a Tool for a Population-Based Cancer Registry in Hlegu Township, Yangon Region, Myanmar

2018 ◽  
Vol 4 (Supplement 1) ◽  
pp. 22s-22s
Author(s):  
Khin Saw Aye ◽  
KhinThet Wai ◽  
Yan Naing Swe ◽  
Ssu Wynn Mon ◽  
Nan Cho Nwe Mon ◽  
...  
Keyword(s):  
Information Technology ◽  
Palliative Care ◽  
Pilot Study ◽  
Cancer Registry ◽  
Conflicts Of Interest ◽  
Cancer Registries ◽  
Population Based ◽  
Public Hospitals ◽  
Cancer Data ◽  
Patients With Cancer

Abstract 57 Purpose The cancer burden is rising and threatens the social and economic development of low- and middle-income countries, including Myanmar, in the ASEAN region. A quality cancer registry plays a unique role in planning, the evaluation of cancer control program, treatment, and palliative care. To date, there is a paucity of studies in Myanmar that have focused on the implementation of a population-based cancer registry. In addition, the concept of telemedicine with the use of information technology applications as appropriate during implementation needs to be introduced. Such an approach may be beneficial to those working at the grassroots level for the overall improvement of the processes of community reporting, confirmation of diagnoses, effective referral for palliative care, and the establishment of cancer registries. Methods A pilot study was therefore carried out to formulate the strategic approach for establishing a population-based cancer registry in Hlegu Township in Northern Yangon District, Myanmar. First, the cancer data entry software was created and installed on mobile phones as an information technology tool to initialize telemedicine. Next, 15 health assistants in Hlegu Township were trained in the collection of data and the entry of basic information on patients with cancer, including name, age, gender, national ID, education, occupation, primary diagnosis, and the site of metastasis of confirmed cancer cases through mobile phone applications and reported to the cancer database unit at the Department of Medical Research. Results A total of 126 patients with cancer were registered in Hlegu Township from June 2016 to May 2017. The estimated prevalence of disease is 4.6 per 10,000 people. The most common age at cancer diagnosis was 46 to 65 years (73.58%). Female sex was 2.5 times predominant than male sex (72% v 27%). Among 91 registered female patients with cancer, the three most common cancers were breast (32.35%), cervix (16.17%) and uterine (15.17%). Eighty-five patients with cancer (67.46%) received their diagnosis in public hospitals. Overall, 59% of patients received combination treatment, 19% received surgery only, 16% were treated with traditional medicine, 3% were treated with radiotherapy only, and 3% were treated with chemotherapy only. Conclusion This study is a first step in applying the concept of telemedicine to the creation of a population-based cancer registry in a resource-limited setting. More concerted efforts are needed to move toward a well-established population-based cancer registry in Myanmar. AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST No COIs from the authors.

A unified approach for assessing heterogeneity in age–period–cohort model parameters using random effects

2017 ◽  
Vol 28 (1) ◽  
pp. 20-34 ◽  
Author(s):  
Pavel Chernyavskiy ◽  
Mark P Little ◽  
Philip S Rosenberg
Keyword(s):  
Random Effects ◽  
Cancer Incidence ◽  
Population Level ◽  
Cancer Registries ◽  
Population Based ◽  
Model Parameters ◽  
Cohort Model ◽  
Annual Percent Change ◽  
Period Effects ◽  
Incidence And Mortality

Age–period–cohort models are a popular tool for studying population-level rates; for example, trends in cancer incidence and mortality. Age–period–cohort models decompose observed trends into age effects that correlate with natural history, period effects that reveal factors impacting all ages simultaneously (e.g. innovations in screening), and birth cohort effects that reflect differential risk exposures that vary across birth years. Methodology for the analysis of multiple population strata (e.g. ethnicity, cancer registry) within the age–period–cohort framework has not been thoroughly investigated. Here, we outline a general model for characterizing differences in age–period–cohort model parameters for a potentially large number of strata. Our model incorporates stratum-specific random effects for the intercept, the longitudinal age trend, and the model-based estimate of annual percent change (net drift), thereby enabling a comprehensive analysis of heterogeneity. We also extend the standard model to include quadratic terms for age, period, and cohort, along with the corresponding random effects, which quantify possible stratum-specific departures from global curvature. We illustrate the utility of our model with an application to metastatic prostate cancer incidence (2004–2013) in non-Hispanic white and black men, using 17 population-based cancer registries in the Surveillance, Epidemiology, and End Results Program.

scholarly journals Machine Learning Methods to Identify Missed Cases of Bladder Cancer in Population-Based Registries

2021 ◽  
pp. 641-653
Author(s):  
Anne-Michelle Noone ◽  
Clara J. K. Lam ◽  
Angela B. Smith ◽  
Matthew E. Nielsen ◽  
Eric Boyd ◽  
...  
Keyword(s):  
United States ◽  
Machine Learning ◽  
Bladder Cancer ◽  
Cancer Incidence ◽  
Cancer Registries ◽  
The United States ◽  
Population Based ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Classification And Regression

PURPOSE Population-based cancer incidence rates of bladder cancer may be underestimated. Accurate estimates are needed for understanding the burden of bladder cancer in the United States. We developed and evaluated the feasibility of a machine learning–based classifier to identify bladder cancer cases missed by cancer registries, and estimated the rate of bladder cancer cases potentially missed. METHODS Data were from population-based cohort of 37,940 bladder cancer cases 65 years of age and older in the SEER cancer registries linked with Medicare claims (2007-2013). Cases with other urologic cancers, abdominal cancers, and unrelated cancers were included as control groups. A cohort of cancer-free controls was also selected using the Medicare 5% random sample. We used five supervised machine learning methods: classification and regression trees, random forest, logic regression, support vector machines, and logistic regression, for predicting bladder cancer. RESULTS Registry linkages yielded 37,940 bladder cancer cases and 766,303 cancer-free controls. Using health insurance claims, classification and regression trees distinguished bladder cancer cases from noncancer controls with very high accuracy (95%). Bacille Calmette-Guerin, cystectomy, and mitomycin were the most important predictors for identifying bladder cancer. From 2007 to 2013, we estimated that up to 3,300 bladder cancer cases in the United States may have been missed by the SEER registries. This would result in an average of 3.5% increase in the reported incidence rate. CONCLUSION SEER cancer registries may potentially miss bladder cancer cases during routine reporting. These missed cases can be identified leveraging Medicare claims and data analytics, leading to more accurate estimates of bladder cancer incidence.

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