Dataset Information

Simulation models for transmission of health care-associated infection: A systematic review.

ABSTRACT:

Background

Health care-associated infections (HAIs) are a global health burden because of their significant impact on patient health and health care systems. Mechanistic simulation modeling that captures the dynamics between patients, pathogens, and the environment is increasingly being used to improve understanding of epidemiological patterns of HAIs and to facilitate decisions on infection prevention and control (IPC). The purpose of this review is to present a systematic review to establish (1) how simulation models have been used to investigate HAIs and their mitigation and (2) how these models have evolved over time, as well as identify (3) gaps in their adoption and (4) useful directions for their future development.

Methods

The review involved a systematic search and identification of studies using system dynamics, discrete event simulation, and agent-based model to study HAIs.

Results

The complexity of simulation models developed for HAIs significantly increased but heavily concentrated on transmission dynamics of methicillin-resistant Staphylococcus aureus in the hospitals of high-income countries. Neither HAIs in other health care settings, the influence of contact networks within a health care facility, nor patient sharing and referring networks across health care settings were sufficiently understood.

Conclusions

This systematic review provides a broader overview of existing simulation models in HAIs to identify the gaps and to direct and facilitate further development of appropriate models in this emerging field.

SUBMITTER: Nguyen LKN

PROVIDER: S-EPMC7161411 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Simulation models for transmission of health care-associated infection: A systematic review.

Nguyen Le Khanh Ngan LKN Megiddo Itamar I Howick Susan S

American journal of infection control 20191218 7

<h4>Background</h4>Health care-associated infections (HAIs) are a global health burden because of their significant impact on patient health and health care systems. Mechanistic simulation modeling that captures the dynamics between patients, pathogens, and the environment is increasingly being used to improve understanding of epidemiological patterns of HAIs and to facilitate decisions on infection prevention and control (IPC). The purpose of this review is to present a systematic review to est ...[more]

PMID: 31862167

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Project description:ImportanceThe association between red blood cell (RBC) transfusion strategies and health care-associated infection is not fully understood.ObjectiveTo evaluate whether RBC transfusion thresholds are associated with the risk of infection and whether risk is independent of leukocyte reduction.Data sourcesMEDLINE, EMBASE, Web of Science Core Collection, Cochrane Central Register of Controlled Trials, Cochrane Database of Sytematic Reviews, ClinicalTrials.gov, International Clinical Trials Registry, and the International Standard Randomized Controlled Trial Number register were searched through January 22, 2014.Study selectionRandomized clinical trials with restrictive vs liberal RBC transfusion strategies.Data extraction and synthesisTwenty-one randomized trials with 8735 patients met eligibility criteria, of which 18 trials (n = 7593 patients) contained sufficient information for meta-analyses. DerSimonian and Laird random-effects models were used to report pooled risk ratios. Absolute risks of infection were calculated using the profile likelihood random-effects method.Main outcomes and measuresIncidence of health care-associated infection such as pneumonia, mediastinitis, wound infection, and sepsis.ResultsThe pooled risk of all serious infections was 11.8% (95% CI, 7.0%-16.7%) in the restrictive group and 16.9% (95% CI, 8.9%-25.4%) in the liberal group. The risk ratio (RR) for the association between transfusion strategies and serious infection was 0.82 (95% CI, 0.72-0.95) with little heterogeneity (I2 = 0%; τ2 <.0001). The number needed to treat (NNT) with restrictive strategies to prevent serious infection was 38 (95% CI, 24-122). The risk of infection remained reduced with a restrictive strategy, even with leukocyte reduction (RR, 0.80 [95% CI, 0.67-0.95]). For trials with a restrictive hemoglobin threshold of <7.0 g/dL, the RR was 0.82 (95% CI, 0.70-0.97) with NNT of 20 (95% CI, 12-133). With stratification by patient type, the RR was 0.70 (95% CI, 0.54-0.91) in patients undergoing orthopedic surgery and 0.51 (95% CI, 0.28-0.95) in patients presenting with sepsis. There were no significant differences in the incidence of infection by RBC threshold for patients with cardiac disease, the critically ill, those with acute upper gastrointestinal bleeding, or for infants with low birth weight.Conclusions and relevanceAmong hospitalized patients, a restrictive RBC transfusion strategy was associated with a reduced risk of health care-associated infection compared with a liberal transfusion strategy. Implementing restrictive strategies may have the potential to lower the incidence of health care-associated infection.

Project description:BACKGROUND:Indigenous populations have poorer health outcomes compared to their non-Indigenous counterparts. The evolution of Indigenous primary health care services arose from mainstream health services being unable to adequately meet the needs of Indigenous communities and Indigenous peoples often being excluded and marginalised from mainstream health services. Part of the solution has been to establish Indigenous specific primary health care services, for and managed by Indigenous peoples. There are a number of reasons why Indigenous primary health care services are more likely than mainstream services to improve the health of Indigenous communities. Their success is partly due to the fact that they often provide comprehensive programs that incorporate treatment and management, prevention and health promotion, as well as addressing the social determinants of health. However, there are gaps in the evidence base including the characteristics that contribute to the success of Indigenous primary health care services in providing comprehensive primary health care. This systematic scoping review aims to identify the characteristics of Indigenous primary health care service delivery models. METHOD:This systematic scoping review was led by an Aboriginal researcher, using the Joanna Briggs Institute Scoping Review Methodology. All published peer-reviewed and grey literature indexed in PubMed, EBSCO CINAHL, Embase, Informit, Mednar, and Trove databases from September 1978 to May 2015 were reviewed for inclusion. Studies were included if they describe the characteristics of service delivery models implemented within an Indigenous primary health care service. Sixty-two studies met the inclusion criteria. Data were extracted and then thematically analysed to identify the characteristics of Indigenous PHC service delivery models. RESULTS:Culture was the most prominent characteristic underpinning all of the other seven characteristics which were identified - accessible health services, community participation, continuous quality improvement, culturally appropriate and skilled workforce, flexible approach to care, holistic health care, and self-determination and empowerment. CONCLUSION:While the eight characteristics were clearly distinguishable within the review, the interdependence between each characteristic was also evident. These findings were used to develop a new Indigenous PHC Service Delivery Model, which clearly demonstrates some of the unique characteristics of Indigenous specific models.

Project description:ImportanceEmerging evidence suggests that integrated care models are associated with improved mental health care access and outcomes for youths (children ≤12 years and adolescents 12-21 years) served in pediatric primary care settings. However, the key components of these complex models remain unexamined.ObjectiveTo identify and describe the key components of effective pediatric integrated mental health care models.Evidence reviewThe PubMed, Embase, PsycINFO, and Cochrane Controlled Register of Trials electronic databases were searched for relevant peer-reviewed articles published between January 1, 1985, and April 30, 2019. Articles were restricted to those published in the English language. Eligible articles reported original data on youths 17 years or younger, implemented an integrated mental health care model in a pediatric primary care setting, and assessed the model's association with primary outcomes (eg, mental health symptom severity) and secondary outcomes (eg, functional impairment and patient satisfaction). Articles that specified some degree of systematic coordination or collaboration between primary care and mental health professionals were included in the final review. Two independent reviewers extracted data on study design, model type, model components, level of integration, and outcomes. Study quality was assessed using the Jadad scale. Data were analyzed between January 1, 2018, and May 31, 2019.FindingsEleven randomized clinical trials involving 2190 participants were included. Three studies focused on youths with depression, 3 on youths with attention-deficit/hyperactivity disorder, and 5 on youths with behavioral disorders. Most studies (9 of 11) implemented either the collaborative care model (n = 3), a slightly modified version of the collaborative care model (n = 2), or colocated care (n = 4). The most commonly reported components of effective pediatric integrated mental health care models were population-based care, measurement-based care, and delivery of evidence-based mental health services; all 3 components were present in studies reporting clinical improvement of mental health symptoms. Other model components, such as treatment-to-target or team-based care, were common in studies reporting specific outcomes, such as functional impairment.Conclusions and relevanceThis review is the first to date to systematically search and qualitatively synthesize information on the key components of effective pediatric integrated mental health care models. This knowledge may be especially useful for pediatric primary care administrators in the selection of an integrated care model for their setting.

Project description:BACKGROUND:Much of the extensive research regarding transmission of malaria is underpinned by mathematical modelling. Compartmental models, which focus on interactions and transitions between population strata, have been a mainstay of such modelling for more than a century. However, modellers are increasingly adopting agent-based approaches, which model hosts, vectors and/or their interactions on an individual level. One reason for the increasing popularity of such models is their potential to provide enhanced realism by allowing system-level behaviours to emerge as a consequence of accumulated individual-level interactions, as occurs in real populations. METHODS:A systematic review of 90 articles published between 1998 and May 2018 was performed, characterizing agent-based models (ABMs) relevant to malaria transmission. The review provides an overview of approaches used to date, determines the advantages of these approaches, and proposes ideas for progressing the field. RESULTS:The rationale for ABM use over other modelling approaches centres around three points: the need to accurately represent increased stochasticity in low-transmission settings; the benefits of high-resolution spatial simulations; and heterogeneities in drug and vaccine efficacies due to individual patient characteristics. The success of these approaches provides avenues for further exploration of agent-based techniques for modelling malaria transmission. Potential extensions include varying elimination strategies across spatial landscapes, extending the size of spatial models, incorporating human movement dynamics, and developing increasingly comprehensive parameter estimation and optimization techniques. CONCLUSION:Collectively, the literature covers an extensive array of topics, including the full spectrum of transmission and intervention regimes. Bringing these elements together under a common framework may enhance knowledge of, and guide policies towards, malaria elimination. However, because of the diversity of available models, endorsing a standardized approach to ABM implementation may not be possible. Instead it is recommended that model frameworks be contextually appropriate and sufficiently described. One key recommendation is to develop enhanced parameter estimation and optimization techniques. Extensions of current techniques will provide the robust results required to enhance current elimination efforts.

Project description:BackgroundClinical aggression episodes, that is aggression and externalising behaviours that create risk, in acute care hospitals are increasing. Acute care staff are often not confident or trained in the management of aggression. Various aggression management training formats have been described in practice including face to face training, written learning resources, web- and media-based training resources, and simulation training. The aim of this systematic review is to assess whether simulation-based training is effective in increasing de-escalation knowledge, skills, and behaviour of staff working in the acute care setting.MethodsWe designed and registered a study protocol for a systematic review of studies evaluating simulation-based training for the management of patients with aggression. We will include randomised controlled trials, non-randomised controlled trials, quasi-experimental studies, and observational studies including health care professionals and trainees in acute health care settings. Comprehensive searches will be conducted in the following databases (from January 1980 onwards): PubMed, MEDLINE, PsycINFO, CINAHL, and the Cochrane Library. The reference lists of selected studies, trial registers, and leading journals will also be searched. Two reviewers will independently screen all citations, full-text articles, and abstract data. Potential discrepancies will be resolved through discussion. The primary outcomes will include patient outcomes (e.g. frequency of clinical aggression), quality of care (e.g. frequency of emergency situations, physical/chemical/mechanical restraint), and adverse effects (e.g. patient/family complaints, patient harms, staff harms). Secondary outcomes will include workplace resource use, health care provider-related outcomes, knowledge (de-escalation techniques), performance, attitudes, and satisfaction. The study methodological risk of bias will be appraised using appropriate tools. A narrative synthesis will be performed for included studies. If feasible, we will conduct random-effects meta-analysis of data. Additional analyses will be conducted to explore the potential sources of heterogeneity (e.g. participant characteristics, interventions, and follow-up).DiscussionThis systematic review will identify, evaluate, and integrate the evidence on simulation-based training programmes for acute care health professionals on managing clinical aggression. The results of this study will inform the implementation of effective training strategies. Implications for future research will be discussed.Systematic review registrationPROSPERO registration number CRD42020151002.

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Dataset Information

Simulation models for transmission of health care-associated infection: A systematic review.

Background

Methods

Results

Conclusions

Publications

Simulation models for transmission of health care-associated infection: A systematic review.

Similar Datasets

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