Data accuracy in the Ontario birth Registry: a chart re-abstraction study
Abstract Background Ontario’s birth Registry (BORN) was established in 2009 to collect, interpret, and share critical data about pregnancy, birth and the early childhood period to facilitate and improve the provision of healthcare. Since the use of routinely-collected health data has been prioritize...
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| Format: | Article |
| Language: | English |
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BMC
2019-12-01
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| Series: | BMC Health Services Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12913-019-4825-3 |
| _version_ | 1818665682680676352 |
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| author | Sandra Dunn Andrea Lanes Ann E. Sprague Deshayne B. Fell Deborah Weiss Jessica Reszel Monica Taljaard Elizabeth K. Darling Ian D. Graham Jeremy M. Grimshaw JoAnn Harrold Graeme N. Smith Wendy Peterson Mark Walker |
| author_facet | Sandra Dunn Andrea Lanes Ann E. Sprague Deshayne B. Fell Deborah Weiss Jessica Reszel Monica Taljaard Elizabeth K. Darling Ian D. Graham Jeremy M. Grimshaw JoAnn Harrold Graeme N. Smith Wendy Peterson Mark Walker |
| author_sort | Sandra Dunn |
| collection | DOAJ |
| description | Abstract Background Ontario’s birth Registry (BORN) was established in 2009 to collect, interpret, and share critical data about pregnancy, birth and the early childhood period to facilitate and improve the provision of healthcare. Since the use of routinely-collected health data has been prioritized internationally by governments and funding agencies to improve patient care, support health system planning, and facilitate epidemiological surveillance and research, high quality data is essential. The purpose of this study was to verify the accuracy of a selection of data elements that are entered in the Registry. Methods Data quality was assessed by comparing data re-abstracted from patient records to data entered into the Ontario birth Registry. A purposive sample of 10 hospitals representative of hospitals in Ontario based on level of care, birth volume and geography was selected and a random sample of 100 linked mother and newborn charts were audited for each site. Data for 29 data elements were compared to the corresponding data entered in the Ontario birth Registry using percent agreement, kappa statistics for categorical data elements and intra-class correlation coefficients (ICCs) for continuous data elements. Results Agreement ranged from 56.9 to 99.8%, but 76% of the data elements (22 of 29) had greater than 90% agreement. There was almost perfect (kappa 0.81–0.99) or substantial (kappa 0.61–0.80) agreement for 12 of the categorical elements. Six elements showed fair-to-moderate agreement (kappa <0.60). We found moderate-to-excellent agreement for four continuous data elements (ICC >0.50). Conclusion Overall, the data elements we evaluated in the birth Registry were found to have good agreement with data from the patients’ charts. Data elements that showed moderate kappa or low ICC require further investigation. |
| first_indexed | 2024-12-17T05:52:31Z |
| format | Article |
| id | doaj.art-45bae12abaec4853a050ff61e8941b30 |
| institution | Directory Open Access Journal |
| issn | 1472-6963 |
| language | English |
| last_indexed | 2024-12-17T05:52:31Z |
| publishDate | 2019-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Health Services Research |
| spelling | doaj.art-45bae12abaec4853a050ff61e8941b302022-12-21T22:01:07ZengBMCBMC Health Services Research1472-69632019-12-0119111110.1186/s12913-019-4825-3Data accuracy in the Ontario birth Registry: a chart re-abstraction studySandra Dunn0Andrea Lanes1Ann E. Sprague2Deshayne B. Fell3Deborah Weiss4Jessica Reszel5Monica Taljaard6Elizabeth K. Darling7Ian D. Graham8Jeremy M. Grimshaw9JoAnn Harrold10Graeme N. Smith11Wendy Peterson12Mark Walker13Better Outcomes Registry & NetworkBetter Outcomes Registry & NetworkBetter Outcomes Registry & NetworkChildren’s Hospital of Eastern Ontario Research InstituteBetter Outcomes Registry & NetworkBetter Outcomes Registry & NetworkUniversity of OttawaMcMaster UniversityUniversity of OttawaUniversity of OttawaChildren’s Hospital of Eastern Ontario Research InstituteKingston General Hospital and Queen’s UniversityUniversity of OttawaBetter Outcomes Registry & NetworkAbstract Background Ontario’s birth Registry (BORN) was established in 2009 to collect, interpret, and share critical data about pregnancy, birth and the early childhood period to facilitate and improve the provision of healthcare. Since the use of routinely-collected health data has been prioritized internationally by governments and funding agencies to improve patient care, support health system planning, and facilitate epidemiological surveillance and research, high quality data is essential. The purpose of this study was to verify the accuracy of a selection of data elements that are entered in the Registry. Methods Data quality was assessed by comparing data re-abstracted from patient records to data entered into the Ontario birth Registry. A purposive sample of 10 hospitals representative of hospitals in Ontario based on level of care, birth volume and geography was selected and a random sample of 100 linked mother and newborn charts were audited for each site. Data for 29 data elements were compared to the corresponding data entered in the Ontario birth Registry using percent agreement, kappa statistics for categorical data elements and intra-class correlation coefficients (ICCs) for continuous data elements. Results Agreement ranged from 56.9 to 99.8%, but 76% of the data elements (22 of 29) had greater than 90% agreement. There was almost perfect (kappa 0.81–0.99) or substantial (kappa 0.61–0.80) agreement for 12 of the categorical elements. Six elements showed fair-to-moderate agreement (kappa <0.60). We found moderate-to-excellent agreement for four continuous data elements (ICC >0.50). Conclusion Overall, the data elements we evaluated in the birth Registry were found to have good agreement with data from the patients’ charts. Data elements that showed moderate kappa or low ICC require further investigation.https://doi.org/10.1186/s12913-019-4825-3Data accuracyRe-abstractionData quality assessmentBORN Ontario |
| spellingShingle | Sandra Dunn Andrea Lanes Ann E. Sprague Deshayne B. Fell Deborah Weiss Jessica Reszel Monica Taljaard Elizabeth K. Darling Ian D. Graham Jeremy M. Grimshaw JoAnn Harrold Graeme N. Smith Wendy Peterson Mark Walker Data accuracy in the Ontario birth Registry: a chart re-abstraction study BMC Health Services Research Data accuracy Re-abstraction Data quality assessment BORN Ontario |
| title | Data accuracy in the Ontario birth Registry: a chart re-abstraction study |
| title_full | Data accuracy in the Ontario birth Registry: a chart re-abstraction study |
| title_fullStr | Data accuracy in the Ontario birth Registry: a chart re-abstraction study |
| title_full_unstemmed | Data accuracy in the Ontario birth Registry: a chart re-abstraction study |
| title_short | Data accuracy in the Ontario birth Registry: a chart re-abstraction study |
| title_sort | data accuracy in the ontario birth registry a chart re abstraction study |
| topic | Data accuracy Re-abstraction Data quality assessment BORN Ontario |
| url | https://doi.org/10.1186/s12913-019-4825-3 |
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