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本文引用的文献

1
Validation of a Population-Based Algorithm to Detect Chronic Psychotic Illness.一种基于人群的慢性精神病性疾病检测算法的验证
Can J Psychiatry. 2015 Aug;60(8):362-8. doi: 10.1177/070674371506000805.
2
The global burden of anxiety disorders in 2010.2010年焦虑症的全球负担。
Psychol Med. 2014 Aug;44(11):2363-74. doi: 10.1017/S0033291713003243. Epub 2014 Jan 22.
3
Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a population-based cohort of adults with schizophrenia in Ontario, Canada.利用约翰霍普金斯综合诊断分组(ADG)预测加拿大安大略省基于人群的成年精神分裂症患者的死亡率。
Psychiatry Res. 2012 Mar 30;196(1):32-7. doi: 10.1016/j.psychres.2011.09.023. Epub 2012 Feb 25.
4
Mortality rates in patients with anorexia nervosa and other eating disorders. A meta-analysis of 36 studies.神经性厌食症及其他饮食失调患者的死亡率。36项研究的荟萃分析。
Arch Gen Psychiatry. 2011 Jul;68(7):724-31. doi: 10.1001/archgenpsychiatry.2011.74.
5
Unmet need for treatment in the eating disorders: a systematic review of eating disorder specific treatment seeking among community cases.治疗未满足的需求:对社区病例中特定于饮食障碍的治疗寻求的系统综述。
Clin Psychol Rev. 2011 Jul;31(5):727-35. doi: 10.1016/j.cpr.2011.03.004. Epub 2011 Mar 23.
6
Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a general adult population cohort in Ontario, Canada.利用约翰霍普金斯综合诊断组(ADG)预测加拿大安大略省一般成年人群队列中的死亡率。
Med Care. 2011 Oct;49(10):932-9. doi: 10.1097/MLR.0b013e318215d5e2.
7
Accuracy of administrative databases in identifying patients with hypertension.行政数据库在识别高血压患者方面的准确性。
Open Med. 2007 Apr 14;1(1):e18-26.
8
Projections of global mortality and burden of disease from 2002 to 2030.2002年至2030年全球死亡率及疾病负担预测。
PLoS Med. 2006 Nov;3(11):e442. doi: 10.1371/journal.pmed.0030442.
9
The prevalence and correlates of eating disorders in the National Comorbidity Survey Replication.《全国共病调查复制版中的饮食失调患病率及其相关因素》
Biol Psychiatry. 2007 Feb 1;61(3):348-58. doi: 10.1016/j.biopsych.2006.03.040. Epub 2006 Jul 3.
10
The health service use and cost of eating disorders.饮食失调症的医疗服务利用情况及费用
Psychol Med. 2005 Nov;35(11):1543-51. doi: 10.1017/S0033291705004708.

利用健康管理数据识别进食障碍患者。

Identifying Individuals with Eating Disorders Using Health Administrative Data.

机构信息

Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, Ontario.

Institute for Clinical Evaluative Sciences, Toronto, Ontario.

出版信息

Can J Psychiatry. 2020 Feb;65(2):107-114. doi: 10.1177/0706743719844183. Epub 2019 May 2.

DOI:10.1177/0706743719844183
PMID:31046429
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6997971/
Abstract

OBJECTIVE

Eating disorders are common and have a high public health burden. However, existing clinically relevant data sources are scarce, limiting the capacity to accurately measure the burden of eating disorders. This study tests the feasibility of generating a large clinically relevant cohort of individuals with eating disorders using health administrative data.

METHODS

We developed 3 clinically relevant eating disorder prevalence cohorts using health administrative data from Ontario, Canada, between 1990 and 2014. Cohort 1 included patients with a hospitalization where an eating disorder diagnosis was the primary diagnosis, cohort 2 included patients with a hospitalization where an eating disorder diagnosis was any diagnosis, and cohort 3 included cohort 2 plus any patient with an emergency department visit with an eating disorder diagnosis.

RESULTS

Cohort 1 had 7268 patients, cohort 2 had 13,197 patients, and cohort 3 had 17,373 patients. As cohort size increased, the proportion of eating disorder patients with diagnoses of bulimia nervosa and eating disorder not otherwise specified increased. Although the cohorts differed according to demographic and clinical characteristics, these differences were small compared to the degree to which they differed from the Ontario population.

DISCUSSION

It is feasible to use health administrative data to measure the clinically relevant burden of eating disorders. The cohorts differed significantly in the eating disorder diagnostic composition. Eating disorders have a high burden, but poor data availability has resulted in fewer public health-related eating disorders studies in comparison to other mental disorders. The use of administrative data can address this evidence gap.

摘要

目的

饮食失调是常见的,对公众健康有很大的负担。然而,现有的临床相关数据来源稀缺,限制了准确衡量饮食失调负担的能力。本研究测试了使用健康管理数据生成大量具有临床相关性的饮食失调患者队列的可行性。

方法

我们使用加拿大安大略省 1990 年至 2014 年期间的健康管理数据,开发了 3 个具有临床相关性的饮食失调患病率队列。队列 1 包括因饮食失调诊断为主要诊断的住院患者,队列 2 包括因饮食失调诊断为任何诊断的住院患者,队列 3 包括队列 2 加上任何因饮食失调诊断而就诊的急诊患者。

结果

队列 1 有 7268 名患者,队列 2 有 13197 名患者,队列 3 有 17373 名患者。随着队列规模的增加,患有神经性贪食症和未特定饮食失调症的饮食失调患者比例增加。尽管队列在人口统计学和临床特征方面存在差异,但与安大略省人群相比,这些差异很小。

讨论

使用健康管理数据来衡量具有临床相关性的饮食失调负担是可行的。队列在饮食失调诊断组成方面存在显著差异。饮食失调负担沉重,但由于数据可用性较差,与其他精神障碍相比,公共卫生相关的饮食失调研究较少。使用行政数据可以解决这一证据差距。