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Validity of Administrative Databases in Comparison to Medical Charts for Breast Cancer Treatment Data

OBJECTIVE: Medical chart abstraction is the gold standard for collecting breast cancer treatment data for monitoring and research. A less costly alternative is the use of administrative databases. This study will evaluate administrative data in comparison to medical charts for breast cancer treatmen...

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Autores principales: Weerasinghe, Ashini, Smith, Courtney R., Majpruz, Vicky, Pandya, Anjali, Blackmore, Kristina M., Holloway, Claire M. B., Segal-Nadlere, Roanne, Paroschy Harris, Cathy, Hendry, Ashley, Hey, Amanda, Kornecki, Anat, Lougheed, George, Maier, Barbara-Anne, Marchand, Patricia, McCready, David, Rand, Carol, Raphael, Simon, Sehgal, Neelu, Chiarelli, Anna M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5976924/
https://www.ncbi.nlm.nih.gov/pubmed/29861727
http://dx.doi.org/10.1155/2018/9218595
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author Weerasinghe, Ashini
Smith, Courtney R.
Majpruz, Vicky
Pandya, Anjali
Blackmore, Kristina M.
Holloway, Claire M. B.
Segal-Nadlere, Roanne
Paroschy Harris, Cathy
Hendry, Ashley
Hey, Amanda
Kornecki, Anat
Lougheed, George
Maier, Barbara-Anne
Marchand, Patricia
McCready, David
Rand, Carol
Raphael, Simon
Sehgal, Neelu
Chiarelli, Anna M.
author_facet Weerasinghe, Ashini
Smith, Courtney R.
Majpruz, Vicky
Pandya, Anjali
Blackmore, Kristina M.
Holloway, Claire M. B.
Segal-Nadlere, Roanne
Paroschy Harris, Cathy
Hendry, Ashley
Hey, Amanda
Kornecki, Anat
Lougheed, George
Maier, Barbara-Anne
Marchand, Patricia
McCready, David
Rand, Carol
Raphael, Simon
Sehgal, Neelu
Chiarelli, Anna M.
author_sort Weerasinghe, Ashini
collection PubMed
description OBJECTIVE: Medical chart abstraction is the gold standard for collecting breast cancer treatment data for monitoring and research. A less costly alternative is the use of administrative databases. This study will evaluate administrative data in comparison to medical charts for breast cancer treatment information. STUDY DESIGN AND SETTING: A retrospective cohort design identified 2,401 women in the Ontario Breast Screening Program diagnosed with invasive breast cancer from 2006 to 2009. Treatment data were obtained from the Activity Level Reporting and Canadian Institute of Health Information databases. Medical charts were abstracted at cancer centres. Sensitivity, specificity, positive and negative predictive value, and kappa were calculated for receipt and type of treatment, and agreement was assessed for dates. Logistic regression evaluated factors influencing agreement. RESULTS: Sensitivity and specificity for receipt of radiotherapy (92.0%, 99.3%), chemotherapy (77.7%, 99.2%), and surgery (95.8%, 100%) were high but decreased slightly for specific radiotherapy anatomic locations, chemotherapy protocols, and surgeries. Agreement increased by radiotherapy year (trend test, p < 0.0001). Stage II/III compared to stage I cancer decreased odds of agreement for chemotherapy (OR = 0.66, 95% CI: 0.48–0.91) and increased agreement for partial mastectomy (OR = 3.36, 95% CI: 2.27–4.99). Exact agreement in treatment dates varied from 83.0% to 96.5%. CONCLUSION: Administrative data can be accurately utilized for future breast cancer treatment studies.
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spelling pubmed-59769242018-06-03 Validity of Administrative Databases in Comparison to Medical Charts for Breast Cancer Treatment Data Weerasinghe, Ashini Smith, Courtney R. Majpruz, Vicky Pandya, Anjali Blackmore, Kristina M. Holloway, Claire M. B. Segal-Nadlere, Roanne Paroschy Harris, Cathy Hendry, Ashley Hey, Amanda Kornecki, Anat Lougheed, George Maier, Barbara-Anne Marchand, Patricia McCready, David Rand, Carol Raphael, Simon Sehgal, Neelu Chiarelli, Anna M. J Cancer Epidemiol Research Article OBJECTIVE: Medical chart abstraction is the gold standard for collecting breast cancer treatment data for monitoring and research. A less costly alternative is the use of administrative databases. This study will evaluate administrative data in comparison to medical charts for breast cancer treatment information. STUDY DESIGN AND SETTING: A retrospective cohort design identified 2,401 women in the Ontario Breast Screening Program diagnosed with invasive breast cancer from 2006 to 2009. Treatment data were obtained from the Activity Level Reporting and Canadian Institute of Health Information databases. Medical charts were abstracted at cancer centres. Sensitivity, specificity, positive and negative predictive value, and kappa were calculated for receipt and type of treatment, and agreement was assessed for dates. Logistic regression evaluated factors influencing agreement. RESULTS: Sensitivity and specificity for receipt of radiotherapy (92.0%, 99.3%), chemotherapy (77.7%, 99.2%), and surgery (95.8%, 100%) were high but decreased slightly for specific radiotherapy anatomic locations, chemotherapy protocols, and surgeries. Agreement increased by radiotherapy year (trend test, p < 0.0001). Stage II/III compared to stage I cancer decreased odds of agreement for chemotherapy (OR = 0.66, 95% CI: 0.48–0.91) and increased agreement for partial mastectomy (OR = 3.36, 95% CI: 2.27–4.99). Exact agreement in treatment dates varied from 83.0% to 96.5%. CONCLUSION: Administrative data can be accurately utilized for future breast cancer treatment studies. Hindawi 2018-05-14 /pmc/articles/PMC5976924/ /pubmed/29861727 http://dx.doi.org/10.1155/2018/9218595 Text en Copyright © 2018 Ashini Weerasinghe et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Weerasinghe, Ashini
Smith, Courtney R.
Majpruz, Vicky
Pandya, Anjali
Blackmore, Kristina M.
Holloway, Claire M. B.
Segal-Nadlere, Roanne
Paroschy Harris, Cathy
Hendry, Ashley
Hey, Amanda
Kornecki, Anat
Lougheed, George
Maier, Barbara-Anne
Marchand, Patricia
McCready, David
Rand, Carol
Raphael, Simon
Sehgal, Neelu
Chiarelli, Anna M.
Validity of Administrative Databases in Comparison to Medical Charts for Breast Cancer Treatment Data
title Validity of Administrative Databases in Comparison to Medical Charts for Breast Cancer Treatment Data
title_full Validity of Administrative Databases in Comparison to Medical Charts for Breast Cancer Treatment Data
title_fullStr Validity of Administrative Databases in Comparison to Medical Charts for Breast Cancer Treatment Data
title_full_unstemmed Validity of Administrative Databases in Comparison to Medical Charts for Breast Cancer Treatment Data
title_short Validity of Administrative Databases in Comparison to Medical Charts for Breast Cancer Treatment Data
title_sort validity of administrative databases in comparison to medical charts for breast cancer treatment data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5976924/
https://www.ncbi.nlm.nih.gov/pubmed/29861727
http://dx.doi.org/10.1155/2018/9218595
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