Hospital context in surgical site infection following colorectal surgery: a multi-level logistic regression

被引:1
作者
Malheiro, R. [1 ,2 ]
Peleteiro, B. [1 ,2 ,3 ]
Silva, G. [4 ]
Lebre, A. [4 ,5 ]
Paiva, J. A. [5 ,6 ,7 ]
Correia, S. [3 ]
机构
[1] Univ Porto, EPI Unit, Inst Saude Publ, Rua Taipas 135, P-3050091 Porto, Portugal
[2] Lab Invest Integrat & Translac Saude Populac ITR, Porto, Portugal
[3] Univ Porto, Med Sch, Fac Med, Dept Publ Hlth & Forens Sci & Med Educ, Porto, Portugal
[4] Programa Prevencao & Controlo Infecao & Resisten A, Direcao Geral Saude Directorate Gen Hlth, Lisbon, Portugal
[5] Inst Portugues Oncol Porto Francisco Gentil, EPE, Porto, Portugal
[6] Ctr Hosp Univ Sao Joao, Intens Care Med Dept, Porto, Portugal
[7] Univ Porto, Med Sch, Fac Med, Dept Med, Porto, Portugal
关键词
Colorectal; Context; Hospital; Surgery; Surgical site infection; BRIEF CONCEPTUAL TUTORIAL; SOCIAL EPIDEMIOLOGY; RISK-FACTORS; METAANALYSIS; PATIENT; IMPACT;
D O I
10.1016/j.jhin.2022.11.004
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Surgical site infections (SSIs) are associated with poor health outcomes. Their incidence is highest after colorectal surgery, with little improvement in recent years. The role of hospital characteristics is undetermined.Aim: To investigate whether SSI incidence after colorectal surgery varies between hos-pitals, and whether such variance may be explained by hospital characteristics.Methods: Data were retrieved from the electronic platform of the Directorate General of Health, from 2015 to 2019. Hospital characteristics were retrieved from publicly available data on the Portuguese public administration. Analysis considered a two-level hierarchical data structure, with individuals clustered in hospitals. To avoid overfitting, no models were built with more than one hospital characteristic. Cluster-level associations are presented through median odds ratio (MOR) and intraclass cluster coefficient (ICC). Beta coefficients were used to assess the contextual effects.Findings: A total of 11,219 procedures from 18 hospitals were included. The incidence of SSI was 16.8%. The ICC for the null model was 0.09. Procedural variables explained 25% of the variance, and hospital dimension explained another 17%. More than 50% of SSI variance remains unaccounted for. After adjustment, heterogeneity between hospitals (MOR: 1.51; ICC: 0.05) was still found. No hospital characteristic was significantly associated with SSI.Conclusion: Procedural variables and hospital dimension explain almost half of SSI var-iance and should be taken into account when implementing prevention strategies. Future of Hospital Infection (2023) research should focus on compliance with preventive bundles and other process indicators in hospitals with significantly less SSI in colorectal surgery. 2022 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:221 / 227
页数:7
相关论文
共 36 条
  • [1] Administracao Central do Sistema de Saude, BENCHM HOSP AB MET
  • [2] [Anonymous], NORMA NO 031 2013 31
  • [3] [Anonymous], 2017, Surveillance of surgical site infections and prevention indicators in European hospitals - HAI-Net SSI protocol
  • [4] Intermediate and advanced topics in multilevel logistic regression analysis
    Austin, Peter C.
    Merlo, Juan
    [J]. STATISTICS IN MEDICINE, 2017, 36 (20) : 3257 - 3277
  • [5] Impact of surgical site infection on healthcare costs and patient outcomes: a systematic review in six European countries
    Badia, J. M.
    Casey, A. L.
    Petrosillo, N.
    Hudson, P. M.
    Mitchell, S. A.
    Crosby, C.
    [J]. JOURNAL OF HOSPITAL INFECTION, 2017, 96 (01) : 1 - 15
  • [6] American College of Surgeons and Surgical Infection Society: Surgical Site Infection Guidelines, 2016 Update
    Ban, Kristen A.
    Minei, Joseph P.
    Laronga, Christine
    Harbrecht, Brian G.
    Jensen, Eric H.
    Fry, Donald E.
    Itani, Kamal M. F.
    Dellinger, E. Patchen
    Ko, Clifford Y.
    Duane, Therese M.
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2017, 224 (01) : 59 - 74
  • [7] Burden of Six Healthcare-Associated Infections on European Population Health: Estimating Incidence-Based Disability-Adjusted Life Years through a Population Prevalence-Based Modelling Study
    Cassini, Alessandro
    Plachouras, Diamantis
    Eckmanns, Tim
    Abu Sin, Muna
    Blank, Hans-Peter
    Ducomble, Tanja
    Haller, Sebastian
    Harder, Thomas
    Klingeberg, Anja
    Sixtensson, Madlen
    Velasco, Edward
    Weiss, Bettina
    Kramarz, Piotr
    Monnet, Dominique L.
    Kretzschmar, Mirjam E.
    Suetens, Carl
    [J]. PLOS MEDICINE, 2016, 13 (10)
  • [8] Direcao-Geral de Saude, 0202015 DIR GER SAUD
  • [9] Doyle DJ., 2022, ASA SPEC PUBL
  • [10] ECDC, 2019, ANN EPIDEMIOLOGICAL