Details:

Alternative Title:
Open Med Inform J
Personal Author:
Hnizdo, Eva ; Yan, Tieliang ; Hakobyan, Artak ; Enright, Paul ; Beeckman-Wagner, Lu-Ann ; ... More +
Hnizdo, Eva ; Yan, Tieliang ; Hakobyan, Artak ; Enright, Paul ; Beeckman-Wagner, Lu-Ann ; Hankinson, John ; Fleming, James ; Lee Petsonk, Edward Less -
Description:
Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality. Periodic spirometry is often recommended for individuals with potential occupational exposure to respiratory hazards and in medical treatment of respiratory disease, to prevent COPD or improve treatment outcome. To achieve the full potential of spirometry monitoring in preserving lung function, it is important to maintain acceptable precision of the longitudinal measurements, apply interpretive strategies that identify individuals with abnormal test results or excessive loss of lung function in a timely manner, and use the results for intervention on respiratory disease prevention or treatment modification. We describe novel, easy-to-use visual and analytical software, Spirometry Longitudinal Data Analysis software (SPIROLA), designed to assist healthcare providers in the above aspects of spirometry monitoring. Software application in ongoing workplace spirometry-based medical monitoring programs helped to identify increased spirometry data variability due to deteriorating test quality and subsequent improvement following interventions, and helped to enhance identification of individuals with excessive decline in lung function.
Subject:
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Article COPD Longitudinal Spirometry. Prevention Spirometry Monitoring
Source:
Open Med Inform J. 2010; 4:94-102.
Document Type:
Journal Article
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:ac877693d5d733f5e80de0f3cc5f97e923ddb36b3da5121b0be1dc307a49b8df
Download URL:
https://stacks.cdc.gov/view/cdc/4373/cdc_4373_DS1.pdf
File Type:

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