Navigating data availability challenges in healthcare: assessing the added value of pulmonary function testing to the Care Assessment Need score for mortality risk.

IF 4.4 Q1 HEALTH CARE SCIENCES & SERVICES
Khalid A Ishani, Anders Westanmo, Amy Gravely, Meredith C McCormack, Arianne K Baldomero
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Abstract

Objectives: Pulmonary function testing (PFT) data, such as forced expiratory volume (FEV1) has become increasingly siloed from the electronic health record (EHR). We hypothesised that FEV1 %pred is independently associated with mortality risk, even after adjusting for the Care Assessment Needs (CAN) score, a validated method developed by the Veterans Health Administration (VA) to predict mortality. Additionally, we hypothesised that the integration of PFT data into the EHR has declined in recent years.

Methods: We conducted a retrospective cohort study using national VA data on PFTs from 2013 to 2018. Using logistic regression adjusted for CAN scores, we assessed the associations between FEV1 percent predicted (%pred) and all-cause mortality at 1 year and 5 years.

Results: While the number of PFTs performed has generally increased since 2000, the integration of PFT data into the EHR has declined since 2006. The CAN-adjusted odds of 1-year mortality were 2.94 (95% CI: 2.66 to 3.24) for those with FEV1 %pred <35%, compared with those with FEV1 %pred ≥70%, while 5-year mortality odds were 3.83 (95% CI: 3.58 to 4.09).

Discussion: Our study shows that FEV1 %pred is statistically significantly associated with increased risk of mortality, above and beyond the CAN score. However, the declining integration of PFT data into the VA EHR highlights a concerning trend of isolating critical test results from clinical care.

Conclusion: Among people with FEV1 recorded in the EHR, FEV1 %pred is statistically significantly associated with increased risk of both 1-year and 5-year mortality, above and beyond the CAN score.

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导航医疗保健中的数据可用性挑战:评估肺功能测试对死亡率风险的护理评估需求评分的附加价值
目的:肺功能测试(PFT)数据,如用力呼气量(FEV1)已越来越多地从电子健康记录(EHR)中孤立出来。我们假设FEV1 %pred与死亡风险独立相关,即使在调整了护理评估需求(CAN)评分(一种由退伍军人健康管理局(VA)开发的预测死亡率的有效方法)后也是如此。此外,我们假设近年来PFT数据与电子病历的整合有所下降。方法:我们使用2013年至2018年的国家VA数据进行了一项回顾性队列研究。使用经CAN评分调整的逻辑回归,我们评估了1年和5年FEV1 %预测(%pred)与全因死亡率之间的关系。结果:虽然自2000年以来进行的PFT数量普遍增加,但自2006年以来,PFT数据与电子病历的整合有所下降。对于FEV1 %pred 1 %pred≥70%的患者,经can调整后的1年死亡率为2.94 (95% CI: 2.66 ~ 3.24),而5年死亡率为3.83 (95% CI: 3.58 ~ 4.09)。讨论:我们的研究表明,FEV1 %pred在统计上与死亡风险增加显著相关,高于或超过CAN评分。然而,将PFT数据整合到VA EHR的下降突出了将关键测试结果与临床护理分离的趋势。结论:在EHR记录的FEV1患者中,FEV1 %pred与1年和5年死亡风险增加具有统计学意义,高于或超过CAN评分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.10
自引率
4.90%
发文量
40
审稿时长
18 weeks
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