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Bloch N, Männer J, Gardiol C, Kohler P, Kuhn J, Münzer T, Schlegel M, Kuster SP, Flury D. Effective infection prevention and control measures in long-term care facilities in non-outbreak and outbreak settings: a systematic literature review. Antimicrob Resist Infect Control 2023; 12:113. [PMID: 37853477 PMCID: PMC10585745 DOI: 10.1186/s13756-023-01318-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 10/05/2023] [Indexed: 10/20/2023] Open
Abstract
BACKGROUND Healthcare-associated infections in long-term care are associated with substantial morbidity and mortality. While infection prevention and control (IPC) guidelines are well-defined in the acute care setting, evidence of effectiveness for long-term care facilities (LTCF) is missing. We therefore performed a systematic literature review to examine the effect of IPC measures in the long-term care setting. METHODS We systematically searched PubMed and Cochrane libraries for articles evaluating the effect of IPC measures in the LTCF setting since 2017, as earlier reviews on this topic covered the timeframe up to this date. Cross-referenced studies from identified articles and from mentioned earlier reviews were also evaluated. We included randomized-controlled trials, quasi-experimental, observational studies, and outbreak reports. The included studies were analyzed regarding study design, type of intervention, description of intervention, outcomes and quality. We distinguished between non-outbreak and outbreak settings. RESULTS We included 74 studies, 34 (46%) in the non-outbreak setting and 40 (54%) in the outbreak setting. The most commonly studied interventions in the non-outbreak setting included the effect of hand hygiene (N = 10), oral hygiene (N = 6), antimicrobial stewardship (N = 4), vaccination of residents (N = 3), education (N = 2) as well as IPC bundles (N = 7). All but one study assessing hand hygiene interventions reported a reduction of infection rates. Further successful interventions were oral hygiene (N = 6) and vaccination of residents (N = 3). In outbreak settings, studies mostly focused on the effects of IPC bundles (N = 24) or mass testing (N = 11). In most of the studies evaluating an IPC bundle, containment of the outbreak was reported. Overall, only four articles (5.4%) were rated as high quality. CONCLUSION In the non-outbreak setting in LTCF, especially hand hygiene and oral hygiene have a beneficial effect on infection rates. In contrast, IPC bundles, as well as mass testing seem to be promising in an outbreak setting.
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Affiliation(s)
- Nando Bloch
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.
| | - Jasmin Männer
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St.Gallen, St.Gallen, Switzerland
| | | | - Philipp Kohler
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St.Gallen, St.Gallen, Switzerland
| | - Jacqueline Kuhn
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St.Gallen, St.Gallen, Switzerland
| | - Thomas Münzer
- Geriatrische Klinik St.Gallen, St.Gallen, Switzerland
| | - Matthias Schlegel
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St.Gallen, St.Gallen, Switzerland
| | - Stefan P Kuster
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St.Gallen, St.Gallen, Switzerland
| | - Domenica Flury
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St.Gallen, St.Gallen, Switzerland
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Tsang CC, Holroyd-Leduc JM, Ewa V, Conly JM, Leslie MM, Leal JR. Barriers and Facilitators to the Use of Personal Protective Equipment in Long-Term Care: A Scoping Review. J Am Med Dir Assoc 2023; 24:82-89.e2. [PMID: 36473522 DOI: 10.1016/j.jamda.2022.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To review existing literature evaluating barriers and facilitators to the use of personal protective equipment (PPE) by health care workers in long-term care (LTC). DESIGN Scoping review. SETTING AND PARTICIPANTS Health care workers in LTC settings. METHODS Several online databases were searched and a gray literature search was conducted. Study inclusion criteria were (1) conducted in nursing homes or LTC settings, (2) focused on LTC health care workers as the study population, and (3) identified barriers and/or facilitators to PPE use. The Theoretical Domains Framework (TDF), which assesses barriers to implementation across 14 behavioral change domains, was used to extract and organize data about barriers and facilitators to appropriate use of PPE from the included studies. RESULTS A total of 5216 references were screened for eligibility and 10 studies were included in this review. Eight of the 10 studies were conducted during the COVID-19 pandemic. Several barriers and facilitators to PPE use were identified. The most common TDF domain identified was environmental context and resources, which was observed in 9 of the 10 studies. Common barriers to PPE use included supply issues (n = 7 studies), the cost of acquisition (n = 3 studies), unclear guidelines on appropriate use of PPE (n = 2 studies), difficulty providing care (n = 2 studies), and anxiety about frightening patients (n = 2 studies). Having PPE readily available facilitated the use of PPE (n = 2 studies). CONCLUSIONS AND IMPLICATIONS Further research is necessary to identify barriers and facilitators more extensively across behavior change domains to develop effective strategies to improve PPE use and prevent infection transmission within LTC.
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Affiliation(s)
- Christian C Tsang
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
| | - Jayna M Holroyd-Leduc
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Department of Medicine, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada
| | - Vivian Ewa
- Department of Family Medicine, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada
| | - John M Conly
- Department of Medicine, Cumming School of Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada; Infection Prevention and Control, Alberta Health Services, Calgary, Alberta, Canada
| | - Myles M Leslie
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Jenine R Leal
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Infection Prevention and Control, Alberta Health Services, Calgary, Alberta, Canada
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Ai J, Zhu Y, Fu J, Cheng X, Zhang X, Ji H, Liu W, Rui J, Xu J, Yang T, Wang Y, Liu X, Yang M, Lin S, Guo X, Bao C, Li Q, Chen T. Study of Risk Factors for Total Attack Rate and Transmission Dynamics of Norovirus Outbreaks, Jiangsu Province, China, From 2012 to 2018. Front Med (Lausanne) 2022; 8:786096. [PMID: 35071268 PMCID: PMC8777030 DOI: 10.3389/fmed.2021.786096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 12/01/2021] [Indexed: 11/23/2022] Open
Abstract
Objective: To describe the epidemiological characteristics of norovirus outbreaks in Jiangsu Province, utilize the total attack rate (TAR) and transmissibility (Runc) as the measurement indicators of the outbreak, and a statistical difference in risk factors associated with TAR and transmissibility was compared. Ultimately, this study aimed to provide scientific suggestions to develop the most appropriate prevention and control measures. Method: We collected epidemiological data from investigation reports of all norovirus outbreaks in Jiangsu Province from 2012 to 2018 and performed epidemiological descriptions, sequenced the genes of the positive specimens collected that were eligible for sequencing, created a database and calculated the TAR, constructed SEIAR and SEIARW transmission dynamic models to calculate Runc, and performed statistical analyses of risk factors associated with the TAR and Runc. Results: We collected a total of 206 reported outbreaks, of which 145 could be used to calculate transmissibility. The mean TAR in was 2.6% and the mean Runc was 12.2. The epidemiological characteristics of norovirus outbreaks showed an overall increasing trend in the number of norovirus outbreaks from 2012 to 2018; more outbreaks in southern Jiangsu than northern Jiangsu; more outbreaks in urban areas than in rural areas; outbreaks occurred mostly in autumn and winter. Most of the sites where outbreaks occurred were schools, especially primary schools. Interpersonal transmission accounted for the majority. Analysis of the genotypes of noroviruses revealed that the major genotypes of the viruses changed every 3 years, with the GII.2 [P16] type of norovirus dominating from 2016 to 2018. Statistical analysis of TAR associated with risk factors found statistical differences in all risk factors, including time (year, month, season), location (geographic location, type of settlement, type of premises), population (total number of susceptible people at the outbreak site), transmission route, and genotype (P < 0.05). Statistical analysis of transmissibility associated with risk factors revealed that only transmissibility was statistically different between sites. Conclusions: The number of norovirus outbreaks in Jiangsu Province continues to increase during the follow-up period. Our findings highlight the impact of different factors on norovirus outbreaks and identify the key points of prevention and control in Jiangsu Province.
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Affiliation(s)
- Jing Ai
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.,Key Laboratory of Enteric Pathogenic Microbiology, Ministry of Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Yuanzhao Zhu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Jianguang Fu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.,Key Laboratory of Enteric Pathogenic Microbiology, Ministry of Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Xiaoqing Cheng
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.,Key Laboratory of Enteric Pathogenic Microbiology, Ministry of Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Xuefeng Zhang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.,Key Laboratory of Enteric Pathogenic Microbiology, Ministry of Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Hong Ji
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.,Key Laboratory of Enteric Pathogenic Microbiology, Ministry of Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Wendong Liu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.,Key Laboratory of Enteric Pathogenic Microbiology, Ministry of Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jia Rui
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Jingwen Xu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Tianlong Yang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Yao Wang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Xingchun Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Meng Yang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Shengnan Lin
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Xiaohao Guo
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Changjun Bao
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.,Key Laboratory of Enteric Pathogenic Microbiology, Ministry of Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Qun Li
- Public Health Emergency Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tianmu Chen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
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Koeberle S, Tannou T, Bouiller K, Becoulet N, Outrey J, Chirouze C, Aubry R. COVID-19 outbreak: organisation of a geriatric assessment and coordination unit. A French example. Age Ageing 2020; 49:516-522. [PMID: 32725209 PMCID: PMC7239239 DOI: 10.1093/ageing/afaa092] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Indexed: 12/24/2022] Open
Abstract
Older people are particularly affected by the COVID-19 outbreak because of their vulnerability as well as the complexity of health organisations, particularly in the often-compartmentalised interactions between community, hospital and nursing home actors. In this endemic situation, with massive flows of patients requiring holistic management including specific and intensive care, the appropriate assessment of each patient's level of care and the organisation of specific networks is essential. To that end, we propose here a territorial organisation of health care, favouring communication between all actors. This organisation of care is based on three key points: To use the basis of territorial organisation of health by facilitating the link between hospital settings and geriatric sectors at the regional level.To connect private, medico-social and hospital actors through a dedicated centralised unit for evaluation, geriatric coordination of care and decision support. A geriatrician coordinates this multidisciplinary unit. It includes an emergency room doctor, a supervisor from the medical regulation centre (Centre 15), an infectious disease physician, a medical hygienist and a palliative care specialist.To organise an ad hoc follow-up channel, including the necessary resources for the different levels of care required, according to the resources of the territorial network, and the creation of a specific COVID geriatric palliative care service. This organisation meets the urgent health needs of all stakeholders, facilitating its deployment and allows the sustainable implementation of a coordinated geriatric management dynamic between the stakeholders on the territory.
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Affiliation(s)
- Séverine Koeberle
- Geriatrics Department, CHU, Besançon, France
- “Ethics and Medical Progress” reseach team, INSERM CIC 1431, CHU Besançon, France
| | - Thomas Tannou
- Geriatrics Department, CHU, Besançon, France
- “Ethics and Medical Progress” reseach team, INSERM CIC 1431, CHU Besançon, France
- EA 481 Neurosciences, Université de Franche-comté, Besançon, France
- Research Centre, Geriatric University Institute of Montreal (IUGM), Montréal, Qc, Canada
| | - Kévin Bouiller
- Infectious Disease Department, CHU de Besançon, Besançon, France
| | | | - Justin Outrey
- Emergency Department, CHU de Besançon, Besançon, France
| | - Catherine Chirouze
- Infectious Disease Department, CHU de Besançon, Besançon, France
- Laboratoire Chrono-environnement - UMR 6249 CNRS-UFC, Besançon, France
| | - Régis Aubry
- Geriatrics Department, CHU, Besançon, France
- “Ethics and Medical Progress” reseach team, INSERM CIC 1431, CHU Besançon, France
- EA 481 Neurosciences, Université de Franche-comté, Besançon, France
- Palliative Care Department, CHU de Besançon, Besançon, France
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Lee MH, Lee GA, Lee SH, Park YH. A systematic review on the causes of the transmission and control measures of outbreaks in long-term care facilities: Back to basics of infection control. PLoS One 2020; 15:e0229911. [PMID: 32155208 PMCID: PMC7064182 DOI: 10.1371/journal.pone.0229911] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 02/17/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The unique characteristics of long-term care facilities (LTCFs) including host factors and living conditions contribute to the spread of contagious pathogens. Control measures are essential to interrupt the transmission and to manage outbreaks effectively. AIM The aim of this systematic review was to verify the causes and problems contributing to transmission and to identify control measures during outbreaks in LTCFs. METHODS Four electronic databases were searched for articles published from 2007 to 2018. Articles written in English reporting outbreaks in LTCFs were included. The quality of the studies was assessed using the risk-of-bias assessment tool for nonrandomized studies. FINDINGS A total of 37 studies were included in the qualitative synthesis. The most commonly reported single pathogen was influenza virus, followed by group A streptococcus (GAS). Of the studies that identified the cause, about half of them noted outbreaks transmitted via person-to-person. Suboptimal infection control practice including inadequate decontamination and poor hand hygiene was the most frequently raised issue propagating transmission. Especially, lapses in specific care procedures were linked with outbreaks of GAS and hepatitis B and C viruses. About 60% of the included studies reported affected cases among staff, but only a few studies implemented work restriction during outbreaks. CONCLUSIONS This review indicates that the violation of basic infection control practice could be a major role in introducing and facilitating the spread of contagious diseases in LTCFs. It shows the need to promote compliance with basic practices of infection control to prevent outbreaks in LTCFs.
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Affiliation(s)
- Min Hye Lee
- The Research Institute of Nursing Science, College of Nursing, Seoul National University, Seoul, South Korea
| | - Gyeoung Ah Lee
- College of Nursing, Seoul National University, Seoul, South Korea
| | - Seong Hyeon Lee
- College of Nursing, Seoul National University, Seoul, South Korea
| | - Yeon-Hwan Park
- The Research Institute of Nursing Science, College of Nursing, Seoul National University, Seoul, South Korea
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