山东大学学报 (医学版) ›› 2025, Vol. 63 ›› Issue (3): 99-109.doi: 10.6040/j.issn.1671-7554.0.2024.1054
• 公共卫生与预防医学 • 上一篇
袁莹1,2,3,仉率杰1,2,3,孙爽爽1,2,3,张伯韬1,2,3,徐朝珂2,4,胡锡峰1,2,3,于媛媛2,5,薛付忠1,2,3
YUAN Ying1,2,3, ZHANG Shuaijie1,2,3, SUN Shuangshuang1,2,3, ZHANG Botao1,2,3, XU Zhaoke2,4, HU Xifeng1,2,3, YU Yuanyuan2,5, XUE Fuzhong1,2,3
摘要: 目的 探讨精神障碍患者住院时长与再入院率的因果关联,为改善患者预后和优化住院管理提供依据。 方法 依托齐鲁全生命周期电子健康研究型数据库构建真实世界新使用者队列。根据住院时长将精神障碍患者分为5组,以15~30 d为对照组,其他4组(1~7、8~14、31~60、61~90 d)为处理组。采用L1正则化进行高维变量选择,并基于选定的协变量计算倾向性评分。采用卡尺距离内1∶1最近邻匹配方法匹配处理组与对照组,借助可比性诊断和平衡性诊断评价匹配效果。采用经典Cox比例风险回归模型评估精神障碍患者的住院时长与1年再入院率(包括精神障碍再入院和全因再入院)之间的因果关联。 结果 共纳入22 437例因精神障碍住院的患者。基线信息包括人口统计学、住院、合并症、药物和手术信息等1 794个协变量。L1正则化分别筛选出374、293、293、255个变量用于匹配。平衡性诊断结果表明协变量均已平衡。相比对照组,1~7 d组住院患者1年精神障碍再入院率(HR=0.54; 95%CI: 0.46~0.65)与全因再入院率(HR=0.75; 95%CI: 0.67~0.84)均显著降低;8~14 d组住院患者1年精神障碍再入院率(HR=0.85; 95%CI: 0.74~0.99)显著降低;61~90 d组住院患者1年精神障碍再入院率(HR=1.37; 95%CI: 1.15~1.63)显著增加。 结论 精神障碍患者的1年精神障碍再入院率随住院时间延长呈一定上升趋势,但这一趋势在31~60 d组与对照组间不明显;全因再入院率仅在1~7 d显著降低。住院时长对精神障碍患者的再入院率有显著影响,缩短住院时长不会增加再入院风险;过长的住院时长可能增加再入院率。这一发现为临床制定更有效的住院管理决策提供了依据。
中图分类号:
| [1] Wu Y, Wang L, Tao MJ, et al. Changing trends in the global burden of mental disorders from 1990 to 2019 and predicted levels in 25 years[J]. Epidemiol Psychiatr Sci, 2023, 32: e63. doi:10.1017/S2045796023000756 [2] Huang YQ, Wang Y, Wang H, et al. Prevalence of mental disorders in China: a cross-sectional epidemiological study[J]. Lancet Psychiatry, 2019, 6(3): 211-24. [3] Arias D, Saxena S, Verguet S. Quantifying the global burden of mental disorders and their economic value[J]. EClinicalMedicine, 2022, 54: 101675. doi:10.1016/j.eclinm.2022.101675 [4] Duke GJ, Moran JL, Bersten AD, et al. Hospital-acquired complications: the relative importance of hospital- and patient-related factors[J]. Med J Aust, 2022, 216(5): 242-247. [5] Eldridge N, Wang Y, Metersky M, et al. Trends in Adverse Event Rates in Hospitalized Patients, 2010-2019[J]. JAMA, 2022, 328(2): 173-183. [6] Hauck K, Zhao XY. How dangerous is a day in hospital? A model of adverse events and length of stay for medical inpatients[J]. Med Care, 2011, 49(12): 1068-1075. [7] Wesselius HM, van den Ende ES, Alsma J, et al. Quality and quantity of sleep and factors associated with sleep disturbance in hospitalized patients[J]. JAMA Intern Med, 2018, 178(9): 1201-1208. [8] ZHOU Yanling, Rosenheck RA, Mohamed S, et al. Retrospective assessment of factors associated with readmission in a large psychiatric hospital in Guangzhou, China[J]. Shanghai Archives of Psychiatry, 2014, 26(3): 138-148. [9] Botha UA, Koen L, Joska JA, et al. The revolving door phenomenon in psychiatry: comparing low-frequency and high-frequency users of psychiatric inpatient services in a developing country[J]. Soc Psychiatry Psychiatr Epidemiol, 2010, 45(4): 461-468. [10] 李欣洁. 精神障碍住院患者出院后1年内再住院的危险因素[D]. 广州: 广州医科大学, 2022. [11] Gobbicchi C, Verdolini N, Menculini G, et al. Searching for factors associated with the "Revolving Door phenomenon" in the psychiatric inpatient unit: A 5-year retrospective cohort study[J]. Psychiatry Res, 2021, 303: 114080. doi:10.1016/j.psychres.2021.114080 [12] 司书成. 大数据背景下真实世界研究设计与分析策略: 以2型糖尿病药物治疗远期结局评价为例[D]. 济南: 山东大学, 2022. [13] Luijken K, Spekreijse JJ, van Smeden M, et al. New-user and prevalent-user designs and the definition of study time origin in pharmacoepidemiology: a review of reporting practices[J]. Pharmacoepidemiol Drug Saf, 2021, 30(7): 960-974. [14] Lund JL, Richardson DB, Stürmer T. The active comparator, new user study design in pharmacoepidemiology: historical foundations and contemporary application[J]. Curr Epidemiol Rep, 2015, 2(4): 221-228. [15] Tibshirani R. Regression shrinkage and selection via the lasso[J]. J R Stat Soc Ser B Stat Methodol, 1996, 58(1): 267-288. [16] Tian YX, Schuemie MJ, Suchard MA. Evaluating large-scale propensity score performance through real-world and synthetic data experiments[J]. Int J Epidemiol, 2018, 47(6): 2005-2014. [17] Rosenbaum PR, Rubin DB.The central role of the propensity score in observational studies for causal effects[J]. Biometrika, 1983, 70(1): 41-55. [18] Newman L, Harris V, Evans LJ, et al. Factors Associated with Length of Stay in Psychiatric Inpatient Services in London, UK[J]. Psychiatric Quarterly, 2018, 89(1): 33-43. [19] Masters GA, Baldessarini RJ, Öngür D, et al. Factors associated with length of psychiatric hospitalization[J]. Compr Psychiatry, 2014, 55(3): 681-687. [20] Silva M, Antunes A, Loureiro A, Factors associated with length of stay and readmission in acute psychiatric inpatient services in Portugal[J]. Psychiatry Res, 2020, 293: 113420. doi:10.1016/j.psychres.2020.113420 [21] Barruel D, Perozziello A, Lefèvre H, et al. Predictors of the length of stay in psychiatric inpatient units: a retrospective study for the Paris Psychiatry Hospital Group[J]. Frontiers in Psychiatry, 2024, 15. doi:10.3389/fpsyt.2024.1463415 [22] Gentil L, Grenier G, Vasiliadis HM, Predictors of Length of Hospitalization and Impact on Early Readmission for Mental Disorders[J]. International Journal of Environmental Research and Public Health, 2022, 19(22): 15127. [23] 马亚伟, 张欢, 贾敏, 等. 精神科开放病房与封闭病房精神分裂症患者的住院时长比较[J]. 临床医学研究与实践, 2024, 9(19): 13-16. MA Yawei, ZHANG Huan, JIA Min, et al. Comparison of length of stay of schizophrenia patients in psychiatric open ward and closed ward[J]. Clinical Research and Practice, 2024, 9(19): 13-16. [24] Rubin DB. Using propensity scores to help design observational studies: application to the tobacco litigation[J]. Health Serv Outcomes Res Methodol, 2001, 2(3): 169-188. [25] Yang D, Dalton JE. A unified approach to measuring the effect size between two groups using SAS[C]. SAS Global Forum, 2012, 335: 1-6. [26] Curtin F, Schulz P. Multiple correlations and bonferronis correction[J]. Biol Psychiatry, 1998, 44(8): 775-777. [27] VanderWeele TJ, Ding P. Sensitivity analysis in observational research: introducing the E-value[J]. Ann Intern Med, 2017, 167(4): 268-274. [28] Del Favero E, Montemagni C, Villari V, et al. Factors associated with 30-days and 180-days psychiatric readmissions: a snapshot of a metropolitan area[J]. Psychiatry Res, 2020, 292: 113309. doi:10.1016/j.psychres.2020.113309 [29] Gastal FL, Andreoli SB, Quintana MI, et al. Predicting the revolving door phenomenon among patients with schizophrenic, affective disorders and non-organic psychoses[J]. Rev Saude Publica, 2000, 34(3): 280-285. [30] Zhang JY, Harvey C, Andrew C. Factors associated with length of stay and the risk of readmission in an acute psychiatric inpatient facility: a retrospective study[J]. Aust N Z J Psychiatry, 2011, 45(7): 578-585. [31] Docrat S, Besada D, Cleary S, et al. The impact of social, national and community-based health insurance on health care utilization for mental, neurological and substance-use disorders in low- and middle-income countries: a systematic review[J]. Health Econ Rev, 2020, 10(1): 1-23. [32] Jakovljevic M, Chang HY, Pan J, et al. Successes and challenges of Chinas health care reform: a four-decade perspective spanning 1985-2023[J]. Cost Eff Resour Alloc, 2023, 21(1): 59. [33] 樊献丽, 吴建杰, 王艳, 等. 多学科诊疗模式下的个体化康复治疗对精神分裂症患者住院康复疗效的影响[J]. 国际医药卫生导报, 2018, 24(8): 1154-1157. FAN Xianli, WU Jianjie, WANG Yan, et al. Impact of personal rehabilitation treatment training by multiple disciplinary team on recovery of schizophrenia patients[J]. International Medicine and Health Guidance News, 2018, 24(8): 1154-1157. |
| [1] | 高雯,张鸽,魏来,苏琳. 基于FAERS数据库尼达尼布心血管不良事件信号挖掘及分析[J]. 山东大学学报 (医学版), 2024, 62(3): 47-53. |
| [2] | 兰洪涛,贾旭,童洲杰,郑曼,胡伯昂,钟明,张薇,王志浩. 无选择性152例成年慢性心力衰竭患者再入院的危险因素[J]. 山东大学学报 (医学版), 2021, 59(4): 63-69. |
| [3] | 张传备,李方,翟春晓,余永明,舒明雷,王艺丹,徐良栋,郝恩魁. 高斯过程模型对慢性心衰患者1年内再入院的风险评估[J]. 山东大学学报 (医学版), 2020, 58(6): 28-33. |
| [4] | 袁勇贵,李磊,沈仲夏,陈刚,吴义高,岳莹莹. 新型冠状病毒肺炎疫情下精神障碍诊疗的防控策略[J]. 山东大学学报 (医学版), 2020, 58(4): 1-6. |
|
||