Evidence map›Paper›PMID 29669512›Full record

SynthesisBMC infectious diseases2018

A systematic review of transmission dynamic studies of methicillin-resistant Staphylococcus aureus in non-hospital residential facilities.

Kin On Kwok, Jonathan M Read, Arthur Tang, Hong Chen, Steven Riley, Kai Man Kam

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 21 citations in OpenAlex.

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  9. Frontiers in microbiology · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 3 countries.

Kin On KwokThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong, Special Administrative Region of China. kkokwok@cuhk.edu.hk.
Jonathan M ReadCentre for Health Informatics Computing and Statistics, Lancaster Medical School, Faculty of Health and Medicine, Lancaster University, Lancaster, UK.
Arthur TangDepartment of Software, Sungkyunkwan University, Seoul, South Korea.
Hong ChenCentre for Health Protection, Hong Kong, Hong Kong, Special Administrative Region of China.
Steven RileyMRC Centre for Outbreak Analysis and Modelling, Department for Infectious Disease Epidemiology, Imperial College London, London, UK. s.riley@imperial.ac.uk.
Kai Man KamThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong, Special Administrative Region of China.
Chinese University of Hong Kong · CNFarr Institute · GBHong Kong Jockey Club · CNImperial College London · GBSungkyunkwan University · KR

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIPSITCH, MARC · 2009 to 2018
$26.4M
Models for synthesising molecular, clinical and epidemiological data, and translaU01GM110721 · NIGMS · IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE · PI CAUCHEMEZ, SIMON, FERGUSON, NEIL MORRIS · 2014 to 2018
$1.9M
Ecology of Infectious Diseases (EID)-Immune Landscapes of Human Influenza in HousR01TW008246 · FIC · JOHNS HOPKINS UNIVERSITY · PI CUMMINGS, DEREK A · 2008 to 2011
$1.9M
FIC NIH HHS R01 TW008246Medical Research Council MR/J008761/1Medical Research Council MR/R015600/1NIAID NIH HHS HHSN266200700005CNIAID NIH HHS N01 AI070005NIGMS NIH HHS U01 GM110721NIGMS NIH HHS U01 GM110721-01NIGMS NIH HHS U54 GM088558Wellcome TrustWellcome Trust 093488/Z/10/ZWellcome Trust 200187/Z/15/ZWellcome Trust 200861/Z/16/Z
6 · The paper itself

Abstract

backgroundNon-hospital residential facilities are important reservoirs for MRSA transmission. However, conclusions and public health implications drawn from the many mathematical models depicting nosocomial MRSA transmission may not be applicable to these settings. Therefore, we reviewed the MRSA transmission dynamics studies in defined non-hospital residential facilities to: (1) provide an overview of basic epidemiology which has been addressed; (2) identify future research direction; and (3) improve future model implementation.

methodsA review was conducted by searching related keywords in PUBMED without time restriction as well as internet searches via Google search engine. We included only articles describing the epidemiological transmission pathways of MRSA/community-associated MRSA within and between defined non-hospital residential settings.

resultsAmong the 10 included articles, nursing homes (NHs) and correctional facilities (CFs) were two settings considered most frequently. Importation of colonized residents was a plausible reason for MRSA outbreaks in NHs, where MRSA was endemic without strict infection control interventions. The importance of NHs over hospitals in increasing nosocomial MRSA prevalence was highlighted. Suggested interventions in NHs included: appropriate staffing level, screening and decolonizing, and hand hygiene. On the other hand, the small population amongst inmates in CFs has no effect on MRSA community transmission. Included models ranged from system-level compartmental models to agent-based models. There was no consensus over the course of disease progression in these models, which were mainly featured with NH residents /CF inmates/ hospital patients as transmission pathways. Some parameters used by these models were outdated or unfit.

conclusionsImportance of NHs has been highlighted from these current studies addressing scattered aspects of MRSA epidemiology. However, the wide variety of non-hospital residential settings suggest that more work is needed before robust conclusions can be drawn. Learning from existing work for hospitals, we identified critical future research direction in this area from infection control, ecological and economic perspectives. From current model deficiencies, we suggest more transmission pathways be specified to depict MRSA transmission, and further empirical studies be stressed to support evidence-based mathematical models of MRSA in non-hospital facilities. Future models should be ready to cope with the aging population structure.

Indexed as

Disease OutbreaksHand HygieneHealth PersonnelHospitalsHumansInfection ControlMethicillin-Resistant Staphylococcus aureusNursing HomesPrevalenceResidential FacilitiesStaphylococcal InfectionsMethicillin-resistant Staphylococcus aureusMRSANon-hospitalResidentialTransmission models

Identifiers

PMID29669512
PMCPMC5907171
OpenAlexW2801746284

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.