Measuring quality of diabetes care by linking health care system administrative databases with laboratory data
Abstract Background Chronic complications of diabetes can be reduced through optimal glycemic and lipid control as evaluated through measurement of glycosylated hemoglobin (A1C) and low-density lipoprotein cholesterol (LDL-C). We aimed to produce measures of quality of diabetes care in Saskatchewan...
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ftdoajarticles:oai:doaj.org/article:197d50cee6184e90a42adaee6e141050 2023-05-15T16:15:35+02:00 Measuring quality of diabetes care by linking health care system administrative databases with laboratory data Klomp Helena Dyck Roland F Sidhu Nirmal Cascagnette Paul J Teare Gary F 2010-08-01T00:00:00Z https://doi.org/10.1186/1756-0500-3-233 https://doaj.org/article/197d50cee6184e90a42adaee6e141050 EN eng BMC http://www.biomedcentral.com/1756-0500/3/233 https://doaj.org/toc/1756-0500 doi:10.1186/1756-0500-3-233 1756-0500 https://doaj.org/article/197d50cee6184e90a42adaee6e141050 BMC Research Notes, Vol 3, Iss 1, p 233 (2010) Medicine R Biology (General) QH301-705.5 Science (General) Q1-390 article 2010 ftdoajarticles https://doi.org/10.1186/1756-0500-3-233 2022-12-31T00:37:21Z Abstract Background Chronic complications of diabetes can be reduced through optimal glycemic and lipid control as evaluated through measurement of glycosylated hemoglobin (A1C) and low-density lipoprotein cholesterol (LDL-C). We aimed to produce measures of quality of diabetes care in Saskatchewan and to identify sub-groups at particular risk of developing complications. Findings Prevalent adult cases of diabetes in 2005/06 were identified from administrative databases and linked with A1C and LDL-C tests measured in centralized laboratories. A1C results were performed in 33,927 of 50,713 (66.9%) diabetes cases identified in Saskatchewan, and LDL-C results were performed in 12,031 of 24,207 (49.7%) cases identified within the province's two largest health regions. The target A1C of <= 7.0% and the target LDL-C of <2.5 mmol/L were achieved in 48.3% and 45.1% of diabetes cases respectively. The proportions were lower among those who were female, First Nations, non-urban, younger and in lower income quintiles. The same groups experienced poorer glycemic control (exception females), and poorer lipid control (exception First Nations people). Among non-Aboriginal people, younger diabetic females were least likely to receive lipid lowering agents. Conclusions Linkage of laboratory with administrative data is an effective method of assessing quality of diabetes care on a population basis and to identify sub-groups requiring particular attention. We found that less than 50% of Saskatchewan people with diabetes achieved optimal glycemic and lipid control. Disparities were most evident among First Nations people and young women. The indicators described can be used to provide standardized information that would support quality improvement initiatives. Article in Journal/Newspaper First Nations Directory of Open Access Journals: DOAJ Articles BMC Research Notes 3 1 |
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Directory of Open Access Journals: DOAJ Articles |
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Medicine R Biology (General) QH301-705.5 Science (General) Q1-390 |
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Medicine R Biology (General) QH301-705.5 Science (General) Q1-390 Klomp Helena Dyck Roland F Sidhu Nirmal Cascagnette Paul J Teare Gary F Measuring quality of diabetes care by linking health care system administrative databases with laboratory data |
topic_facet |
Medicine R Biology (General) QH301-705.5 Science (General) Q1-390 |
description |
Abstract Background Chronic complications of diabetes can be reduced through optimal glycemic and lipid control as evaluated through measurement of glycosylated hemoglobin (A1C) and low-density lipoprotein cholesterol (LDL-C). We aimed to produce measures of quality of diabetes care in Saskatchewan and to identify sub-groups at particular risk of developing complications. Findings Prevalent adult cases of diabetes in 2005/06 were identified from administrative databases and linked with A1C and LDL-C tests measured in centralized laboratories. A1C results were performed in 33,927 of 50,713 (66.9%) diabetes cases identified in Saskatchewan, and LDL-C results were performed in 12,031 of 24,207 (49.7%) cases identified within the province's two largest health regions. The target A1C of <= 7.0% and the target LDL-C of <2.5 mmol/L were achieved in 48.3% and 45.1% of diabetes cases respectively. The proportions were lower among those who were female, First Nations, non-urban, younger and in lower income quintiles. The same groups experienced poorer glycemic control (exception females), and poorer lipid control (exception First Nations people). Among non-Aboriginal people, younger diabetic females were least likely to receive lipid lowering agents. Conclusions Linkage of laboratory with administrative data is an effective method of assessing quality of diabetes care on a population basis and to identify sub-groups requiring particular attention. We found that less than 50% of Saskatchewan people with diabetes achieved optimal glycemic and lipid control. Disparities were most evident among First Nations people and young women. The indicators described can be used to provide standardized information that would support quality improvement initiatives. |
format |
Article in Journal/Newspaper |
author |
Klomp Helena Dyck Roland F Sidhu Nirmal Cascagnette Paul J Teare Gary F |
author_facet |
Klomp Helena Dyck Roland F Sidhu Nirmal Cascagnette Paul J Teare Gary F |
author_sort |
Klomp Helena |
title |
Measuring quality of diabetes care by linking health care system administrative databases with laboratory data |
title_short |
Measuring quality of diabetes care by linking health care system administrative databases with laboratory data |
title_full |
Measuring quality of diabetes care by linking health care system administrative databases with laboratory data |
title_fullStr |
Measuring quality of diabetes care by linking health care system administrative databases with laboratory data |
title_full_unstemmed |
Measuring quality of diabetes care by linking health care system administrative databases with laboratory data |
title_sort |
measuring quality of diabetes care by linking health care system administrative databases with laboratory data |
publisher |
BMC |
publishDate |
2010 |
url |
https://doi.org/10.1186/1756-0500-3-233 https://doaj.org/article/197d50cee6184e90a42adaee6e141050 |
genre |
First Nations |
genre_facet |
First Nations |
op_source |
BMC Research Notes, Vol 3, Iss 1, p 233 (2010) |
op_relation |
http://www.biomedcentral.com/1756-0500/3/233 https://doaj.org/toc/1756-0500 doi:10.1186/1756-0500-3-233 1756-0500 https://doaj.org/article/197d50cee6184e90a42adaee6e141050 |
op_doi |
https://doi.org/10.1186/1756-0500-3-233 |
container_title |
BMC Research Notes |
container_volume |
3 |
container_issue |
1 |
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1766001347060039680 |