Weiangkham Dao, Umnuaypornlert Adinat, Saokaew Surasak, Wongcharoen Neeranuch, Prommongkol Samrerng, Ponmark Jutamas
School of Nursing, University of Phayao, Phayao, 56000 Thailand.
Division of Social and Administrative Pharmacy (SAP), Department of Pharmaceutical Care, School of Pharmaceutical Sciences, University of Phayao, Phayao, 56000, Thailand.
Int J Nurs Stud Adv. 2025 Mar 6;8:100316. doi: 10.1016/j.ijnsa.2025.100316. eCollection 2025 Jun.
Pulmonary Tuberculosis (PTB) remains a pressing public health concern. Long hospital stays for PTB patients can overburden both patients and healthcare systems.
To identify the key factors contributing to extended length of stay in PTB patients.
Four electronic databases (PubMed, Scopus, Embase, and CINAHL) were systematically searched from inception to January 1, 2023.
The articles were screened and performed according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). Inclusion criteria were PTB patients diagnosed by doctors and studies reporting factors affecting length of stay. Exclusion criteria were review articles, case study, conferences abstract, and proceedings. Study quality was assessed using the Newcastle-Ottawa Scale (NOS). A random-effects model was used to analyzed risk factors for length of stay. Heterogeneity was employed using I and Q statistics. Forest plots displayed effect sizes (ES) and 95 % confidence intervals. STATA 14.2 was used for meta-analysis.
A total of 1,190 studies were screened from reputable electronic databases, six studies comprised of 9,231 participants were included. Meta-analysis revealed that they are six risk factors associated with longer length of stay including; older age (OR 1.50, 95 % CI 1.07-2.09, = 0.019), comorbidity (OR 1.44, 95 % CI 1.17-1.78, = 0.001), HIV patient (OR 1.40, 95 % CI 1.16-1.69, = 0.001), patients with ADR (OR 2.19, 95 % CI 1.47-3.26, < 0.001), MDR TB (OR 3.16, 95 % CI 2.31-4.32, < 0.001), and miliary TB (OR 1.37, 95 % CI 1.10-1.70, = 0.004) with minimal heterogeneity [(I = 34.2 %, = 0.207), (I = 43.1 %, = 0.118), (I = 0.0 %, = 0.573), (I = 0.0 %, = 0.723), (I = 0.0 %, = 0.366), and (I = 0.0 %, = 0.753), respectively]. There was no evidence of publication bias according to Begg's and Egger's test.
In conclusion, six risk factors were identified as significantly associated with longer hospital stays in PTB patients: older age, comorbidities, HIV infection, ADR, MDR-TB, and miliary TB. These findings highlight the importance of targeted interventions for these high-risk groups to reduce length of stay and alleviate the burden on healthcare systems. The results are based on a meta-analysis of six studies with minimal heterogeneity, and no evidence of publication bias was found. Future research should focus on exploring additional factors influencing length of stay, particularly in diverse populations, and evaluating the effectiveness of interventions to shorten hospital stays. Additionally, studies examining the impact of healthcare infrastructure and resource allocation on length of stay could provide valuable insights for improving patient outcomes.
This study was registered with PROSPERO, CRD4203390615.
肺结核(PTB)仍然是一个紧迫的公共卫生问题。肺结核患者长时间住院会给患者和医疗系统带来过重负担。
确定导致肺结核患者住院时间延长的关键因素。
对四个电子数据库(PubMed、Scopus、Embase和CINAHL)从建库至2023年1月1日进行了系统检索。
根据系统评价和Meta分析的首选报告项目(PRISMA)对文章进行筛选和分析。纳入标准为经医生诊断的肺结核患者以及报告影响住院时间因素的研究。排除标准为综述文章、病例研究、会议摘要和会议记录。使用纽卡斯尔-渥太华量表(NOS)评估研究质量。采用随机效应模型分析住院时间的危险因素。使用I和Q统计量评估异质性。森林图展示效应量(ES)和95%置信区间。使用STATA 14.2进行Meta分析。
从知名电子数据库中筛选出共1190项研究,纳入了6项研究,共9231名参与者。Meta分析显示,有六个危险因素与较长的住院时间相关,包括:年龄较大(OR 1.50,95% CI 1.07 - 2.09,P = 0.019)、合并症(OR 1.44,95% CI 1.17 - 1.78,P = 0.001)、HIV患者(OR 1.40,95% CI 1.16 - 1.69,P = 0.001)、药物不良反应患者(OR 2.19,95% CI 1.47 - 3.26,P < 0.001)、耐多药结核病(OR 3.16,95% CI 2.31 - 4.32,P < 0.001)和粟粒性结核病(OR 1.37,95% CI 1.10 - 1.70,P = 0.004),异质性最小[分别为(I = 34.2%,P = 0.207)、(I = 43.1%,P = 0.118)、(I = 0.0%,P = 0.573)、(I = 0.0%,P = 0.723)、(I = 0.0%,P = 0.366)和(I = 0.0%,P = 0.753)]。根据Begg检验和Egger检验,没有证据表明存在发表偏倚。
总之,确定了六个与肺结核患者较长住院时间显著相关的危险因素:年龄较大、合并症、HIV感染、药物不良反应、耐多药结核病和粟粒性结核病。这些发现凸显了针对这些高危人群进行有针对性干预以缩短住院时间和减轻医疗系统负担的重要性。结果基于对六项异质性最小的研究的Meta分析,未发现发表偏倚的证据。未来的研究应侧重于探索影响住院时间的其他因素,特别是在不同人群中,并评估缩短住院时间的干预措施的有效性。此外,研究医疗保健基础设施和资源分配对住院时间的影响可为改善患者结局提供有价值的见解。
本研究已在PROSPERO注册,注册号为CRD4203390615。