Suppr超能文献

门诊神经科患者缺勤的诊断及其他预测因素

Diagnoses and other predictors of patient absenteeism in an outpatient neurology clinic.

作者信息

Do David H, Siegler James E

机构信息

Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia.

出版信息

Neurol Clin Pract. 2018 Aug;8(4):318-326. doi: 10.1212/CPJ.0000000000000488.

Abstract

BACKGROUND

We sought to determine the neurologic diagnosis or diagnostic categories that are associated with a higher probability of honoring a scheduled follow-up visit in the outpatient clinic.

METHODS

We conducted a retrospective analysis of patients evaluated over a 3-year period (July 2014-June 2017) at a single neurology clinic in an urban location. Adult patients who honored an initial scheduled outpatient appointment were included. Only diagnoses with a ≥0.5% prevalence at our center were analyzed. Mixed-effects logistic regression was used to determine association of independent variables and honored follow-up visits.

RESULTS

Of 61,232 scheduled outpatient subsequent encounters for 20,729 unique patients, the overall absenteeism rate was 12.5% (95% confidence interval [CI] 12.2%-12.8%). Independent risk factors associated with absenteeism included younger age, black or Latino race/ethnicity, Medicaid/Medicare payor status, and longer delay from appointment scheduling to appointment date. In mixed-effects logistic regression, diagnoses associated with the lowest odds of showing were medication overuse headache (show rate 79.2%, odds ratio [OR] for honoring appointment 0.67, 95% CI 0.48-0.93) and depression (rate 85.9%, OR 0.82, 95% CI 0.70-0.97), whereas the diagnoses associated with the greatest odds of showing included Charcot-Marie-Tooth disease (rate 96.3%, OR 2.54, 95% CI 1.44-4.49) and aphasia (rate 95.9%, OR 2.34, 95% CI 1.28-4.30).

CONCLUSIONS

Certain chronic neurologic diseases, such as medication overuse headache and depression, were associated with a significantly lower odds of honoring scheduled follow-up conditions. As these conditions influence quality of life and productivity, patients with these illnesses may benefit from selective targeting to encourage adherence with scheduled follow-up appointments.

摘要

背景

我们试图确定与门诊按时进行随访可能性较高相关的神经科诊断或诊断类别。

方法

我们对在城市地区一家单一神经科诊所3年期间(2014年7月至2017年6月)评估的患者进行了回顾性分析。纳入了按时进行首次门诊预约的成年患者。仅分析在我们中心患病率≥0.5%的诊断。采用混合效应逻辑回归来确定自变量与按时随访之间的关联。

结果

在为20729名独特患者安排的61232次门诊后续就诊中,总体缺勤率为12.5%(95%置信区间[CI] 12.2%-12.8%)。与缺勤相关的独立危险因素包括年龄较小、黑人或拉丁裔种族/族裔、医疗补助/医疗保险支付者状态以及从预约安排到预约日期的延迟时间较长。在混合效应逻辑回归中,就诊可能性最低的诊断包括药物过量使用性头痛(就诊率79.2%,按时预约的优势比[OR]为0.67,95% CI 0.48-0.93)和抑郁症(率85.9%,OR 0.82,95% CI 0.70-0.97),而就诊可能性最高的诊断包括夏科-马里-图斯病(率96.3%,OR 2.54,95% CI 1.44-4.49)和失语症(率95.9%,OR 2.34,95% CI 1.28-4.30)。

结论

某些慢性神经疾病,如药物过量使用性头痛和抑郁症,与按时进行随访的可能性显著较低相关。由于这些疾病会影响生活质量和生产力,患有这些疾病的患者可能会从有针对性的干预中受益,以鼓励他们遵守定期随访预约。

相似文献

本文引用的文献

1
No-shows in appointment scheduling - a systematic literature review.失约于预约安排 - 系统文献回顾。
Health Policy. 2018 Apr;122(4):412-421. doi: 10.1016/j.healthpol.2018.02.002. Epub 2018 Feb 15.
6
PREDICTORS OF NONATTENDANCE AT AN ENDOCRINOLOGY OUTPATIENT CLINIC.内分泌门诊未就诊的预测因素
Endocr Pract. 2016 Aug;22(8):983-9. doi: 10.4158/EP161198.OR. Epub 2016 Apr 28.
7
The estimated cost of "no-shows" in an academic pediatric neurology clinic.一家学术性儿科神经科诊所中“未到诊”的预估成本。
Pediatr Neurol. 2015 Feb;52(2):198-201. doi: 10.1016/j.pediatrneurol.2014.10.020. Epub 2014 Oct 30.
10
Depression in epilepsy: a systematic review and meta-analysis.癫痫伴发抑郁:系统评价和荟萃分析。
Neurology. 2013 Feb 5;80(6):590-9. doi: 10.1212/WNL.0b013e31827b1ae0. Epub 2012 Nov 21.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验