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CodeX effectively identifies high-risk patients with asthma or COPD in Dutch primary care, supporting
Iris van Geer-Postmus1, Marika T Leving2, Yoran H Gerritsma2
1General Practitioners Research Institute, Prof. ED Wiersmastraat 5, Groningen, 9713 GH, The Netherlands.
Insights
CodeX algorithms effectively identify underreported lung attacks (LAs) in asthma and COPD patients. This tool aids primary care providers in managing high-risk individuals by tracking LA frequency and treatment.
Area of Science:
- Pulmonary Medicine
- Health Informatics
- Clinical Algorithm Development
Background:
- Preventing lung attacks (LAs) or exacerbations is crucial for managing asthma and chronic obstructive pulmonary disease (COPD).
- Lung attacks are frequently underreported in electronic medical records, hindering effective patient management.
- Accurate identification of LAs is essential for optimizing treatment strategies in respiratory diseases.
Purpose of the Study:
- To develop and evaluate CodeX Asthma and COPD, novel algorithms for identifying lung attacks.
- To assess the utility of these algorithms in primary care settings for detecting unrecorded LAs.
- To provide a tool for primary care providers to better manage patients with asthma and COPD.
Main Methods:
- Development of an electronic medical record-based algorithm named CodeX Asthma and COPD.
- Implementation and evaluation of the algorithms across nine general practices in the Netherlands.
- Retrospective analysis of patient data to identify LAs over specified periods.
Main Results:
- CodeX Asthma identified 479 LAs in 1164 patients within one year, with only 16% officially recorded.
- CodeX COPD detected 321 LAs in 242 patients over three years, with only two recorded.
- These findings highlight significant underreporting of LAs in routine clinical practice.
Conclusions:
- CodeX algorithms successfully identify previously unrecorded lung attacks in asthma and COPD patients.
- The algorithms offer a straightforward method for primary care providers to identify high-risk patients.
- This facilitates closer patient management by assessing LA frequency and potential treatment issues.
Background:
Prevention of lung attacks (LAs)/exacerbation is an important treatment goal in both asthma and chronic obstructive pulmonary disease (COPD). However, LAs are often not registered as such in medical records.
Objectives:
Development and evaluation of CodeX Asthma and COPD.
Design:
An electronic medical record-based algorithm to identify LAs in Dutch primary care patients with asthma or COPD was developed. The algorithms were evaluated in nine general practices in the Netherlands.
Results:
A total of 479 LAs (in 1164 patients) were identified with CodeX Asthma in the past year, of which only 16% were registered. CodeX COPD identified 321 LAs (in 242 patients) in the past 3 years, of which two were registered.
Conclusion:
CodeX algorithms are capable of identifying unrecorded LAs and high-risk/uncontrolled patients in an easy way. This offers primary care providers a simple solution to easily identify and closely manage high-risk patients with asthma or COPD by identifying LAs' frequency and potential under- or overtreatment.
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