Evidence map›Paper›PMID 24485365›Full record

ArticleAmerican journal of infection control2014

State of infection prevention in US hospitals enrolled in the National Health and Safety Network.

Patricia W Stone, Monika Pogorzelska-Maziarz, Carolyn T A Herzig, Lindsey M Weiner, E Yoko Furuya, Andrew Dick, Elaine Larson

Abstract read
In one paragraph

Article in American journal of infection control, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
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

42 citing papers in PubMed.

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  19. Observational
  20. A research agenda for infection prevention in home healthcare.American journal of infection control · 2018
    Article
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

7 authors.

Patricia W StoneCenter for Health Policy, Columbia University School of Nursing, New York, NY. Electronic address: ps2024@columbia.edu.
Monika Pogorzelska-MaziarzCenter for Health Policy, Columbia University School of Nursing, New York, NY.
Carolyn T A HerzigCenter for Health Policy, Columbia University School of Nursing, New York, NY; Center for Health Policy, Columbia University School of Nursing, New York, NY.
Lindsey M WeinerCenters for Disease Control and Prevention, Atlanta, GA.
E Yoko FuruyaColumbia University College of Physicians and Surgeons, New York-Presbyterian Hospital, New York, NY.
Andrew DickRAND Corporation, Boston, MA.
Elaine LarsonCenter for Health Policy, Columbia University School of Nursing, New York, NY; Mailman School of Public Health, Columbia University, New York, NY.

Funding

Prevention of Nosocomial Infections and Cost-Effectiveness Refined (P-NICER)R01NR010107 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STONE, PATRICIA W. · 2007 to 2012
$3.2M
NINR NIH HHS R01 NR010107NINR NIH HHS R01NR010107
6 · The paper itself

Abstract

backgroundThis report provides a national cross-sectional snapshot of infection prevention and control programs and clinician compliance with the implementation of processes to prevent health care-associated infections (HAIs) in intensive care units (ICUs).

methodsAll hospitals, except Veterans Affairs hospitals, enrolled in the National Healthcare Safety Network (NHSN) were eligible to participate. Participation involved completing a survey assessing the presence of evidence-based prevention policies and clinician adherence and joining our NHSN research group. Descriptive statistics were computed. Facility characteristics and HAI rates by ICU type were compared between respondents and nonrespondents.

resultsOf the 3,374 eligible hospitals, 975 provided data (29% response rate) on 1,653 ICUs, and there were complete data on the presence of policies in 1,534 ICUs. The average number of infection preventionists (IPs) per 100 beds was 1.2. Certification of IP staff varied across institutions, and the average hours per week devoted to data management and secretarial support were generally low. There was variation in the presence of policies and clinician adherence to these policies. There were no differences in HAI rates between respondents and nonrespondents.

conclusionsGuidelines for IP staffing in acute care hospitals need to be updated. In future work, we will analyze the associations between HAI rates and infection prevention and control program characteristics, as well as the inplementation of and clinician adherence to evidence-based policies.

Indexed as

HospitalsCross InfectionCross-Sectional StudiesGuideline AdherenceHumansInfection ControlUnited StatesHealth care–associated infectionInfection preventionistPolicyQualityStaffing

Identifiers

PMID24485365
PMCPMC3951506

What OpenQuestion holds

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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.