利用日本一家急症医院的诊断程序组合数据确定老年人医院相关并发症的预测有效性:观察性研究

IF 5 Q1 GERIATRICS & GERONTOLOGY
JMIR Aging Pub Date : 2025-02-06 DOI:10.2196/68267
Seigo Mitsutake, Tatsuro Ishizaki, Shohei Yano, Takumi Hirata, Kae Ito, Ko Furuta, Yoshitomo Shimazaki, Hideki Ito, Alison Mudge, Kenji Toba
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引用次数: 0

摘要

背景:老年人医院相关并发症(HAC-OP;包括功能下降、谵妄、失禁、跌倒和压力损伤)已被提议作为反映急性医院护理质量的结果指标。从常规收集的行政数据中估计HAC-OP可以促进临床环境中干预措施的快速和标准化评估,从而支持有效干预措施的开发、改进和更广泛的实施。目的:本研究旨在建立HAC-OP测量(HAC-OP-DPC)的诊断程序组合(DPC)数据版本,并通过评估其与住院时间(LOS)和出院目的地的关联来证明其预测有效性。方法:本回顾性队列研究从日本东京一家普通急症医院获得DPC数据(常规收集的行政数据)。我们纳入了2016年7月至2021年3月期间住院≥3天且出院的≥65岁患者的指数住院数据。HAC-OP-DPC采用诊断代码识别住院期间发生的功能下降、失禁、谵妄、压迫性损伤和跌倒。采用广义线性回归模型检验HAC-OP-DPC与LOS之间的关系,并采用logistic回归模型检验HAC-OP-DPC与其他医院和长期护理机构(ltcf)出院之间的关系。结果:15278例患者中,3610例(23.6%)患者存在一种或多种HAC-OP-DPC编码证据(比例分别为1:18 .8%和≥1:4 .8%)。以“无HAC-OP-DPC”作为参考分类,分析显示与较长的LOS有显著的分级关联(有一次HAC-OP-DPC患者的校正风险比为1.29,95% CI 1.25-1.33;≥2例HAC-OP-DPC的调整风险比为1.97,95% CI为1.87-2.08),转院(1例HAC-OP-DPC的调整风险比[AOR]为2.36,95% CI为2.10-2.65;≥2个HAC-OP-DPC的AOR为6.96,95% CI为5.81-8.35),排放至ltcf(1个HAC-OP-DPC的AOR为1.35,95% CI为1.09-1.67;≥2 HAC-OP-DPC的AOR为1.68,95% CI为1.18-2.39)。每个个体的HAC-OP也与更长的LOS和出院到另一家医院显著相关,但只有谵妄与出院到LTCF相关。结论:本研究证明了HAC-OP-DPC测量对较长LOS和出院到其他医院和ltcf的预测有效性。为了获得对这些关系的更有力的理解,需要进一步的研究来验证我们在其他医院和地区的发现。HAC-OP-DPC的临床实施是通过常规收集的管理数据来确定的,可以支持旨在优化老年人住院护理的综合干预措施的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive Validity of Hospital-Associated Complications of Older People Identified Using Diagnosis Procedure Combination Data From an Acute Care Hospital in Japan: Observational Study.

Background: A composite outcome of hospital-associated complications of older people (HAC-OP; comprising functional decline, delirium, incontinence, falls, and pressure injuries) has been proposed as an outcome measure reflecting quality of acute hospital care. Estimating HAC-OP from routinely collected administrative data could facilitate the rapid and standardized evaluation of interventions in the clinical setting, thereby supporting the development, improvement, and wider implementation of effective interventions.

Objective: This study aimed to create a Diagnosis Procedure Combination (DPC) data version of the HAC-OP measure (HAC-OP-DPC) and demonstrate its predictive validity by assessing its associations with hospital length of stay (LOS) and discharge destination.

Methods: This retrospective cohort study acquired DPC data (routinely collected administrative data) from a general acute care hospital in Tokyo, Japan. We included data from index hospitalizations for patients aged ≥65 years hospitalized for ≥3 days and discharged between July 2016 and March 2021. HAC-OP-DPC were identified using diagnostic codes for functional decline, incontinence, delirium, pressure injury, and falls occurring during the index hospitalization. Generalized linear regression models were used to examine the associations between HAC-OP-DPC and LOS, and logistic regression models were used to examine the associations between HAC-OP-DPC and discharge to other hospitals and long-term care facilities (LTCFs).

Results: Among 15,278 patients, 3610 (23.6%) patients had coding evidence of one or more HAC-OP-DPC (1: 18.8% and ≥2: 4.8%). Using "no HAC-OP-DPC" as the reference category, the analysis showed a significant and graded association with longer LOS (adjusted risk ratio for patients with one HAC-OP-DPC 1.29, 95% CI 1.25-1.33; adjusted risk ratio for ≥2 HAC-OP-DPC 1.97, 95% CI 1.87-2.08), discharge to another hospital (adjusted odds ratio [AOR] for one HAC-OP-DPC 2.36, 95% CI 2.10-2.65; AOR for ≥2 HAC-OP-DPC 6.96, 95% CI 5.81-8.35), and discharge to LTCFs (AOR for one HAC-OP-DPC 1.35, 95% CI 1.09-1.67; AOR for ≥2 HAC-OP-DPC 1.68, 95% CI 1.18-2.39). Each individual HAC-OP was also significantly associated with longer LOS and discharge to another hospital, but only delirium was associated with discharge to LTCF.

Conclusions: This study demonstrated the predictive validity of the HAC-OP-DPC measure for longer LOS and discharge to other hospitals and LTCFs. To attain a more robust understanding of these relationships, additional studies are needed to verify our findings in other hospitals and regions. The clinical implementation of HAC-OP-DPC, which is identified using routinely collected administrative data, could support the evaluation of integrated interventions aimed at optimizing inpatient care for older adults.

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来源期刊
JMIR Aging
JMIR Aging Social Sciences-Health (social science)
CiteScore
6.50
自引率
4.10%
发文量
71
审稿时长
12 weeks
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