Trends in chronic disease incidence rates from the Canadian Chronic Disease Surveillance System
Introduction: The Public Health Agency of Canada’s Canadian Chronic Disease Surveillance System (CCDSS) produces population-based estimates of chronic disease prevalence and incidence using administrative health data. Our aim was to assess trends in incidence rates over time, trends are essential to...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Health Agency of Canada
2019-01-01
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| Series: | Health Promotion and Chronic Disease Prevention in Canada |
| Subjects: | |
| Online Access: | https://doi.org/10.24095/hpcdp.39.6/7.02 |
| _version_ | 1811228377100582912 |
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| author | Naomi C. Hamm Louise Pelletier Joellyn Ellison Lana Tennenhouse Kim Reimer J. Michael Paterson Rolf Puchtinger Sharon Bartholomew Karen A. M. Phillips Lisa M. Lix |
| author_facet | Naomi C. Hamm Louise Pelletier Joellyn Ellison Lana Tennenhouse Kim Reimer J. Michael Paterson Rolf Puchtinger Sharon Bartholomew Karen A. M. Phillips Lisa M. Lix |
| author_sort | Naomi C. Hamm |
| collection | DOAJ |
| description | Introduction: The Public Health Agency of Canada’s Canadian Chronic Disease Surveillance System (CCDSS) produces population-based estimates of chronic disease prevalence and incidence using administrative health data. Our aim was to assess trends in incidence rates over time, trends are essential to understand changes in population risk and to inform policy development. Methods: Incident cases of diagnosed asthma, chronic obstructive pulmonary disease (COPD), diabetes, hypertension, ischemic heart disease (IHD), and stroke were obtained from the CCDSS online infobase for 1999 to 2012. Trends in national and regional incidence estimates were tested using a negative binomial regression model with year as a linear predictor. Subsequently, models with year as a restricted cubic spline were used to test for departures from linearity using the likelihood ratio test. Age and sex were covariates in all models. Results: Based on the models with year as a linear predictor, national incidence rates were estimated to have decreased over time for all diseases, except diabetes; regional incidence rates for most diseases and regions were also estimated to have decreased. However, likelihood ratio tests revealed statistically significant departures from a linear year effect for many diseases and regions, particularly for hypertension. Conclusion: Chronic disease incidence estimates based on CCDSS data are decreasing over time, but not at a constant rate. Further investigations are needed to assess if this decrease is associated with changes in health status, data quality, or physician practices. As well, population characteristics that may influence changing incidence trends also require exploration. |
| first_indexed | 2024-04-12T09:56:48Z |
| format | Article |
| id | doaj.art-d4ec47838d5147619eb8bb38b30d52b2 |
| institution | Directory Open Access Journal |
| issn | 2368-738X |
| language | English |
| last_indexed | 2024-04-12T09:56:48Z |
| publishDate | 2019-01-01 |
| publisher | Public Health Agency of Canada |
| record_format | Article |
| series | Health Promotion and Chronic Disease Prevention in Canada |
| spelling | doaj.art-d4ec47838d5147619eb8bb38b30d52b22022-12-22T03:37:39ZengPublic Health Agency of CanadaHealth Promotion and Chronic Disease Prevention in Canada2368-738X2019-01-01396/721622410.24095/hpcdp.39.6/7.02stringTrends in chronic disease incidence rates from the Canadian Chronic Disease Surveillance SystemNaomi C. Hamm0Louise Pelletier1Joellyn Ellison2Lana Tennenhouse3Kim Reimer4J. Michael Paterson5Rolf Puchtinger6Sharon Bartholomew7Karen A. M. Phillips8Lisa M. Lix9University of Manitoba, Winnipeg, Manitoba, CanadaPublic Health Agency of Canada, Ottawa, Ontario, CanadaPublic Health Agency of Canada, Ottawa, Ontario, CanadaUniversity of Manitoba, Winnipeg, Manitoba, CanadaBritish Columbia Ministry of Health, Victoria, British Columbia, CanadaInstitute for Clinical Evaluative Sciences, Toronto, Ontario, CanadaMinistry of Health, Government of Saskatchewan, Regina, Saskatchewan, CanadaPublic Health Agency of Canada, Ottawa, Ontario, CanadaChief Public Health Office, Prince Edward Island Department of Health and Wellness, Charlottetown, Prince Edward Island, CanadaUniversity of Manitoba, Winnipeg, Manitoba, CanadaIntroduction: The Public Health Agency of Canada’s Canadian Chronic Disease Surveillance System (CCDSS) produces population-based estimates of chronic disease prevalence and incidence using administrative health data. Our aim was to assess trends in incidence rates over time, trends are essential to understand changes in population risk and to inform policy development. Methods: Incident cases of diagnosed asthma, chronic obstructive pulmonary disease (COPD), diabetes, hypertension, ischemic heart disease (IHD), and stroke were obtained from the CCDSS online infobase for 1999 to 2012. Trends in national and regional incidence estimates were tested using a negative binomial regression model with year as a linear predictor. Subsequently, models with year as a restricted cubic spline were used to test for departures from linearity using the likelihood ratio test. Age and sex were covariates in all models. Results: Based on the models with year as a linear predictor, national incidence rates were estimated to have decreased over time for all diseases, except diabetes; regional incidence rates for most diseases and regions were also estimated to have decreased. However, likelihood ratio tests revealed statistically significant departures from a linear year effect for many diseases and regions, particularly for hypertension. Conclusion: Chronic disease incidence estimates based on CCDSS data are decreasing over time, but not at a constant rate. Further investigations are needed to assess if this decrease is associated with changes in health status, data quality, or physician practices. As well, population characteristics that may influence changing incidence trends also require exploration.https://doi.org/10.24095/hpcdp.39.6/7.02administrative data, chronic disease surveillance, trend analysis |
| spellingShingle | Naomi C. Hamm Louise Pelletier Joellyn Ellison Lana Tennenhouse Kim Reimer J. Michael Paterson Rolf Puchtinger Sharon Bartholomew Karen A. M. Phillips Lisa M. Lix Trends in chronic disease incidence rates from the Canadian Chronic Disease Surveillance System Health Promotion and Chronic Disease Prevention in Canada administrative data, chronic disease surveillance, trend analysis |
| title | Trends in chronic disease incidence rates from the Canadian Chronic Disease Surveillance System |
| title_full | Trends in chronic disease incidence rates from the Canadian Chronic Disease Surveillance System |
| title_fullStr | Trends in chronic disease incidence rates from the Canadian Chronic Disease Surveillance System |
| title_full_unstemmed | Trends in chronic disease incidence rates from the Canadian Chronic Disease Surveillance System |
| title_short | Trends in chronic disease incidence rates from the Canadian Chronic Disease Surveillance System |
| title_sort | trends in chronic disease incidence rates from the canadian chronic disease surveillance system |
| topic | administrative data, chronic disease surveillance, trend analysis |
| url | https://doi.org/10.24095/hpcdp.39.6/7.02 |
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