Abstract
Objective
Applying treat to target strategies in the care of patients with rheumatoid arthritis (RA) is critical for improving outcomes, yet electronic health records (EHRs) have few features to facilitate this strategy. We evaluated the effect of three health‐IT initiatives on performance of RA disease activity measures and outcomes in an academic rheumatology clinic.
Methods
We implemented three initiatives designed to facilitate performance of the Clinical Disease Activity Index (CDAI): an EHR flowsheet to input scores, peer performance reports, and an EHR SmartForm including a CDAI calculator. We performed an interrupted time‐series trial to assess effects on the proportion of RA visits with a documented CDAI. Mean CDAI scores before and after the last initiative were compared using t‐tests. Additionally, we measured physician satisfaction with the initiatives.
Results
We included data from 995 patients with 8,040 encounters between 2012 and 2017. Over this period, electronic capture of CDAI increased from 0% to 64%. Performance remained stable after peer reporting and the SmartForm were introduced. We observed no meaningful changes in disease activity levels. However, physician satisfaction increased after SmartForm implementation.
Conclusion
Modifications to the EHR, provider culture, and clinical workflows effectively improved capture of RA disease activity scores and physician satisfaction, but parallel gains in disease activity levels were missing. This study illustrates how a series of health‐IT initiatives can evolve to enable sustained changes in practice. Yet, capture of RA outcomes alone may not be sufficient to improve levels of disease activity without a comprehensive treat‐to‐target program.
Applying treat to target strategies in the care of patients with rheumatoid arthritis (RA) is critical for improving outcomes, yet electronic health records (EHRs) have few features to facilitate this strategy. We evaluated the effect of three health‐IT initiatives on performance of RA disease activity measures and outcomes in an academic rheumatology clinic.
Methods
We implemented three initiatives designed to facilitate performance of the Clinical Disease Activity Index (CDAI): an EHR flowsheet to input scores, peer performance reports, and an EHR SmartForm including a CDAI calculator. We performed an interrupted time‐series trial to assess effects on the proportion of RA visits with a documented CDAI. Mean CDAI scores before and after the last initiative were compared using t‐tests. Additionally, we measured physician satisfaction with the initiatives.
Results
We included data from 995 patients with 8,040 encounters between 2012 and 2017. Over this period, electronic capture of CDAI increased from 0% to 64%. Performance remained stable after peer reporting and the SmartForm were introduced. We observed no meaningful changes in disease activity levels. However, physician satisfaction increased after SmartForm implementation.
Conclusion
Modifications to the EHR, provider culture, and clinical workflows effectively improved capture of RA disease activity scores and physician satisfaction, but parallel gains in disease activity levels were missing. This study illustrates how a series of health‐IT initiatives can evolve to enable sustained changes in practice. Yet, capture of RA outcomes alone may not be sufficient to improve levels of disease activity without a comprehensive treat‐to‐target program.
Original language | English |
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Journal | Arthritis Care Res (Hoboken) |
Early online date | 11 Feb 2019 |
DOIs | |
Publication status | Published - 2019 |