Linking Clinical and Administrative Data to Inform Performance Measures Regarding Access to Specialist Care for Patients with Rheumatoid Arthritis
Introduction Rheumatoid arthritis (RA) is the most prevalent type of chronic adult inflammatory arthritis and requires timely diagnosis and subsequent access to specialist care and treatment from a rheumatologist. We developed a set of key performance indicators (KPIs) to evaluate access, effectiven...
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Format: | Article |
Language: | English |
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Swansea University
2018-09-01
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Series: | International Journal of Population Data Science |
Online Access: | https://ijpds.org/article/view/1030 |
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author | Deborah A Marshall Claire Barber Sharon Zhang Jatin Patel Guanmin Chen Peter Faris |
author_facet | Deborah A Marshall Claire Barber Sharon Zhang Jatin Patel Guanmin Chen Peter Faris |
author_sort | Deborah A Marshall |
collection | DOAJ |
description | Introduction
Rheumatoid arthritis (RA) is the most prevalent type of chronic adult inflammatory arthritis and requires timely diagnosis and subsequent access to specialist care and treatment from a rheumatologist. We developed a set of key performance indicators (KPIs) to evaluate access, effectiveness, acceptability, appropriateness and efficiency of care.
Objectives and Approach
The overall objective was to measure performance of a central intake system for referral to rheumatology against the KPIs. We report on one accessibility KPIs: the percentage of patients with new onset RA with at least one visit to a rheumatologist in the first 365 days since diagnosis. We identified a cohort of RA patients using a validated case definition: >16 years, at least 1 RA related hospitalization (ICD-10-CA:M05.x-M06.x) or two RA related physician visits ≥ eight weeks apart within two years (ICD-9: 714.x). The incident case date was date of hospitalization or second physician visit (whichever came first).
Results
This KPI assessed the proportion of patients seen by a rheumatologist within one year of first RA visit by patients in the RA cohort. 13,914 cases of RA were diagnosed between April 1 2010 and March 31 2016. The percentage of patients with new onset RA with at least one visit to a rheumatologist in the first 365 days since diagnosis increased between fiscal years 2011 and 2015. Of the 2851 incident RA cases in fiscal year 2011, 1490 (53%) met the performance measure compared to 1710 of 2710 (63%) who met the definition in fiscal year 2015. Other KPIs, including wait times, are being evaluated using both clinical and administrative data.
Conclusion/Implications
By linking multiple administrative datasets, we are able to measure system performance against a defined KPI and identify opportunities for system improvement. This is the first initiative in Alberta for patients with RA where data from different multi-custodial data repositories have been extracted, linked and analyzed for this purpose. |
first_indexed | 2024-03-09T09:30:36Z |
format | Article |
id | doaj.art-103f56bd7fe14df2a980ec0d51ce59bf |
institution | Directory Open Access Journal |
issn | 2399-4908 |
language | English |
last_indexed | 2024-03-09T09:30:36Z |
publishDate | 2018-09-01 |
publisher | Swansea University |
record_format | Article |
series | International Journal of Population Data Science |
spelling | doaj.art-103f56bd7fe14df2a980ec0d51ce59bf2023-12-02T03:48:56ZengSwansea UniversityInternational Journal of Population Data Science2399-49082018-09-013410.23889/ijpds.v3i4.10301030Linking Clinical and Administrative Data to Inform Performance Measures Regarding Access to Specialist Care for Patients with Rheumatoid ArthritisDeborah A Marshall0Claire Barber1Sharon Zhang2Jatin Patel3Guanmin Chen4Peter Faris5University of CalgaryUniversity of CalgaryAlberta Health Services Research FacilitationUniversity of CalgaryUniversity of CalgaryAlberta Health ServicesIntroduction Rheumatoid arthritis (RA) is the most prevalent type of chronic adult inflammatory arthritis and requires timely diagnosis and subsequent access to specialist care and treatment from a rheumatologist. We developed a set of key performance indicators (KPIs) to evaluate access, effectiveness, acceptability, appropriateness and efficiency of care. Objectives and Approach The overall objective was to measure performance of a central intake system for referral to rheumatology against the KPIs. We report on one accessibility KPIs: the percentage of patients with new onset RA with at least one visit to a rheumatologist in the first 365 days since diagnosis. We identified a cohort of RA patients using a validated case definition: >16 years, at least 1 RA related hospitalization (ICD-10-CA:M05.x-M06.x) or two RA related physician visits ≥ eight weeks apart within two years (ICD-9: 714.x). The incident case date was date of hospitalization or second physician visit (whichever came first). Results This KPI assessed the proportion of patients seen by a rheumatologist within one year of first RA visit by patients in the RA cohort. 13,914 cases of RA were diagnosed between April 1 2010 and March 31 2016. The percentage of patients with new onset RA with at least one visit to a rheumatologist in the first 365 days since diagnosis increased between fiscal years 2011 and 2015. Of the 2851 incident RA cases in fiscal year 2011, 1490 (53%) met the performance measure compared to 1710 of 2710 (63%) who met the definition in fiscal year 2015. Other KPIs, including wait times, are being evaluated using both clinical and administrative data. Conclusion/Implications By linking multiple administrative datasets, we are able to measure system performance against a defined KPI and identify opportunities for system improvement. This is the first initiative in Alberta for patients with RA where data from different multi-custodial data repositories have been extracted, linked and analyzed for this purpose.https://ijpds.org/article/view/1030 |
spellingShingle | Deborah A Marshall Claire Barber Sharon Zhang Jatin Patel Guanmin Chen Peter Faris Linking Clinical and Administrative Data to Inform Performance Measures Regarding Access to Specialist Care for Patients with Rheumatoid Arthritis International Journal of Population Data Science |
title | Linking Clinical and Administrative Data to Inform Performance Measures Regarding Access to Specialist Care for Patients with Rheumatoid Arthritis |
title_full | Linking Clinical and Administrative Data to Inform Performance Measures Regarding Access to Specialist Care for Patients with Rheumatoid Arthritis |
title_fullStr | Linking Clinical and Administrative Data to Inform Performance Measures Regarding Access to Specialist Care for Patients with Rheumatoid Arthritis |
title_full_unstemmed | Linking Clinical and Administrative Data to Inform Performance Measures Regarding Access to Specialist Care for Patients with Rheumatoid Arthritis |
title_short | Linking Clinical and Administrative Data to Inform Performance Measures Regarding Access to Specialist Care for Patients with Rheumatoid Arthritis |
title_sort | linking clinical and administrative data to inform performance measures regarding access to specialist care for patients with rheumatoid arthritis |
url | https://ijpds.org/article/view/1030 |
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