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体重减轻:未能识别电子健康记录中记录的体重减轻情况并采取相应行动。

Losing weights: Failure to recognize and act on weight loss documented in an electronic health record.

作者信息

El-Kareh Robert, Pazo Valeria, Wright Adam, Schiff Gordon D

机构信息

University of California, San Diego,USA.

.

出版信息

J Innov Health Inform. 2015 Aug 12;22(3):316-22. doi: 10.14236/jhi.v22i3.137.

DOI:10.14236/jhi.v22i3.137
PMID:26577421
Abstract

BACKGROUND

Involuntary weight loss is associated with higher mortality. When this weight loss is unrecognized, opportunities for timely diagnosis of significant conditions may be missed.

OBJECTIVE

To use electronic health record (EHR) data to estimate the frequency of unrecognized involuntary weight loss and its implications.

METHODS

We performed a retrospective analysis of the weights recorded in an EHR of 100,000 adult patients seen in outpatient clinics over a five-year period using a novel data visualization and review tool. We reviewed charts of a random sample of 170 patients experiencing weight loss periods. Our outcomes included determinations of whether weight loss 1) was voluntary vs. involuntary; 2) was recognized and documented; and 3) possible explanations identifiable at the index visit or within the subsequent two years.

RESULTS

Of 170 randomly-selected weight loss periods reviewed, 22 (13%) were involuntary, 36 (21%) were voluntary and 112 (66%) were indeterminate. Sixty-six (39%) weight loss periods were recognized by clinician at the index visits and an additional 3 (1%) at the next PCP visits. Possible explanations for weight loss emerged in the subsequent two years including medical conditions in 60 (45%), psycho-social conditions in 19 (14%), erroneous data entry in 9 (7%), voluntary weight loss in 8 (6%), and postpartum weight loss in 6 (4%). No possible explanations were found in 32 (24%).

CONCLUSIONS

Periods of weight loss were common, often involuntary and frequently not recognized or documented. Many patients with involuntary weight loss had potential explanations that emerged within the subsequent two years.

摘要

背景

非自愿性体重减轻与较高的死亡率相关。当这种体重减轻未被识别时,可能会错过及时诊断重大疾病的机会。

目的

利用电子健康记录(EHR)数据估计未被识别的非自愿性体重减轻的频率及其影响。

方法

我们使用一种新颖的数据可视化和审查工具,对五年期间在门诊就诊的100,000名成年患者的EHR中记录的体重进行了回顾性分析。我们审查了170名经历体重减轻阶段的患者的随机样本图表。我们的结果包括确定体重减轻是否1)是自愿还是非自愿的;2)是否被识别并记录;以及3)在初次就诊时或随后两年内是否可识别出可能的原因。

结果

在审查的170个随机选择的体重减轻阶段中,22个(13%)是非自愿的,36个(21%)是自愿的,112个(66%)不确定。66个(39%)体重减轻阶段在初次就诊时被临床医生识别,另外3个(1%)在下一次初级保健医生就诊时被识别。在随后两年中出现了体重减轻的可能原因,包括60个(45%)的医疗状况、19个(14%)的心理社会状况、9个(7%)的数据录入错误、8个(6%)的自愿体重减轻和6个(4%)的产后体重减轻。32个(24%)未发现可能的原因。

结论

体重减轻阶段很常见,通常是非自愿的,并且经常未被识别或记录。许多非自愿性体重减轻的患者在随后两年内出现了潜在的原因。

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