Evidence map›Paper›PMID 28659159›Full record

ArticleImplementation science : IS2017

Searching for management approaches to reduce HAI transmission (SMART): a study protocol.

Ann Scheck McAlearney, Jennifer L Hefner, Cynthia J Sieck, Daniel M Walker, Alison M Aldrich, Lindsey N Sova, Alice A Gaughan, Caitlin M Slevin, Courtney Hebert, Erinn Hade and 3 more

Open access · goldAbstract read
In one paragraph

Article in Implementation science : IS, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Ann Scheck McAlearneyDepartment of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH, 43201, USA. ann.mcalearney@osumc.edu.ORCID 0000-0001-9107-5419
Jennifer L HefnerDepartment of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH, 43201, USA.
Cynthia J SieckDepartment of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH, 43201, USA.
Daniel M WalkerDepartment of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH, 43201, USA.
Alison M AldrichDepartment of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH, 43201, USA.
Lindsey N SovaDepartment of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH, 43201, USA.
Alice A GaughanDepartment of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH, 43201, USA.
Caitlin M SlevinDepartment of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH, 43201, USA.
Courtney HebertDivision of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus, OH, 43201, USA.
Erinn HadeCenter for Biostatistics, College of Medicine, The Ohio State University, 320G Lincoln Tower, 1800 Cannon Drive, Columbus, OH, 43201, USA.
Jacalyn BuckThe Ohio State University Wexner Medical Center, 134 Doan Hall, 410 W. 10th Ave, Columbus, OH, 43210, USA.
Michele GroveThe Ohio State University Wexner Medical Center, 134 Doan Hall, 410 W. 10th Ave, Columbus, OH, 43210, USA.
Timothy R HuertaDepartment of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH, 43201, USA.
The Ohio State University · USThe Ohio State University Wexner Medical Center · USOhio Department of Health · US

Funding

Searching for Management Approaches to Reduce HAI Transmission (SMART)R01HS024958 · AHRQ · OHIO STATE UNIVERSITY · PI MCALEARNEY, ANN SCHECK · 2017 to 2021
$1.9M
AHRQ HHS R01 HS024958
6 · The paper itself

Abstract

backgroundHealthcare-associated infections (HAIs) impact patients' lives through prolonged hospitalization, morbidity, and death, resulting in significant costs to both health systems and society. Central line-associated bloodstream infections (CLABSIs) and catheter-associated urinary tract infections (CAUTIs) are two of the most preventable HAIs. As a result, these HAIs have been the focus of significant efforts to identify evidence-based clinical strategies to reduce infection rates. The Comprehensive Unit-based Safety Program (CUSP) provides a formal model for translating CLABSI-reduction evidence into practice. Yet, a national demonstration project found organizations experienced variable levels of success using CUSP to reduce CLABSIs. In addition, in Fiscal year 2019, Medicare will expand use of CLABSI and CAUTI metrics beyond ICUs to the entire hospital for reimbursement purposes. As a result, hospitals need guidance about how to successfully translate HAI-reduction efforts such as CUSP to non-ICU settings (clinical practice), and how to shape context (management practice)-including culture and management strategies-to proactively support clinical teams.

methodsUsing a mixed-methods approach to evaluate the contribution of management factors to successful HAI-reduction efforts, our study aims to: (1) Develop valid and reliable measures of structural management practices associated with the recommended CLABSI Management Strategies for use as a survey (HAI Management Practice Guideline Survey) to support HAI-reduction efforts in both medical/surgical units and ICUs; (2) Develop, validate, and then deploy the HAI Management Practice Guideline Survey, first across Ohio hospitals, then nationwide, to determine the positive predictive value of the measurement instrument as it relates to CLABSI- and CAUTI-prevention; and (3) Integrate findings into a Management Practices Toolkit for HAI reduction that includes an organization-specific data dashboard for monitoring progress and an implementation program for toolkit use, and disseminate that Toolkit nationwide. DISCUSSION: Providing hospitals with the tools they need to successfully measure management structures that support clinical care provides a powerful approach that can be leveraged to reduce the incidence of HAIs experienced by patients. This study is critical to providing the information necessary to successfully "make health care safer" by providing guidance on how contextual factors within a healthcare setting can improve patient safety across hospitals.

Indexed as

Patient SafetyResearch DesignCatheter-Related InfectionsCross InfectionEvidence-Based MedicineHumansInfection ControlUnited StatesDelphiHealthcare-associated infectionsHospitalManagement practicesPatient safetyQualitative methodsToolkit

Identifiers

PMID28659159
PMCPMC5490089
OpenAlexW2730585100

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.