Evidence map›Paper›PMID 33547154›Full record

ArticleBMJ open quality2021

Results and lessons from a hospital-wide initiative incentivised by delivery system reform to improve infection prevention and sepsis care.

Pranavi Sreeramoju, Karla Voy-Hatter, Calvin White, Rosechelle Ruggiero, Carlos Girod, Joseph Minei, Karen Garvey, Judith Herrington, Abu Minhajuddin, Christopher Madden and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open quality, 2021. 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
2.3field-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, 11 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. 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

12 authors at 3 institutions in 1 country.

Pranavi SreeramojuDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA Pranavi.Sreeramoju@UTSouthwestern.edu.ORCID 0000-0002-1218-8974
Karla Voy-HatterDepartment of Infection Prevention, Parkland Health and Hospital System, Dallas, Texas, USA.
Calvin WhiteDepartment of Infection Prevention, Parkland Health and Hospital System, Dallas, Texas, USA.
Rosechelle RuggieroDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.
Carlos GirodDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.
Joseph MineiDepartment of Surgery, Burn and Critical Care, UT Southwestern Medical Center, Dallas, Texas, USA.
Karen GarveyDepartment of Patient Safety and Risk, Parkland Health and Hospital System, Dallas, Texas, USA.
Judith HerringtonDivision of Nursing, Parkland Health and Hospital System, Dallas, Texas, USA.
Abu MinhajuddinDepartment of Clinical Sciences, UT Southwestern Medical Center, Dallas, Texas, USA.
Christopher MaddenDepartment of Neurological Surgery, UT Southwestern Medical Center, Dallas, Texas, USA.
Robert HaleyDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.
Fred CeriseHealth System Administration, Parkland Health and Hospital System, Dallas, Texas, USA.
Parkland Health & Hospital System · USSouthwestern Medical Center · USSouthwestern Medical Center

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn academic safety-net hospital leveraged the federally funded state Delivery System Reform Incentive Payment programme to implement a hospital-wide initiative to reduce healthcare-associated infections (HAIs) and improve sepsis care.

methodsThe study period was from 2013 to 2017. The setting is a 770-bed urban hospital with six intensive care units and a large emergency department. Key interventions implemented were (1) awareness campaign and clinician engagement, (2) implementation of HAI and sepsis bundles, (3) education of clinical personnel using standardised curriculum on bundles, (4) training of key managers, leaders and personnel in quality improvement methods, and (5) electronic medical record-based clinical decision support. Throughout the 5-year period, staff received frequent, clear, visible and consistent messages from leadership regarding the importance of their participation in this initiative, performing hand hygiene and preventing potential regulatory failures. Several process measures including bundle compliance, hand hygiene and culture of safety were monitored. The primary outcomes were rates of central line-associated bloodstream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), surgical site infection (SSI) and sepsis mortality.

resultsFrom 2013 to 2017, the hospital-wide rates of HAI reduced: CLABSI from 1.6 to 0.8 per 1000 catheter-days (Poisson regression estimate: -0.19; 95% CI -0.29 to -0.09; p=0.0002), CAUTI from 4.7 to 1.3 per 1000 catheter-days (-0.34; -0.43 to -0.26; p<0.0001) and SSI after 18 types of procedures from 3.4% to 1.3% (-0.29; -0.34 to -0.24; p<0.0001). Mortality of patients presenting to emergency department with sepsis reduced from 9.4% to 2.9% (-0.42; -0.49 to -0.36; p<0.0001). Adherence to bundles of care and hand hygiene and the hospital culture of patient safety improved. Results were sustained through 2019.

conclusionA hospital-wide initiative incentivised by the Delivery System Reform Incentive Payment programme succeeded in reducing HAI and sepsis mortality over 5 years in a sustainable manner.

Indexed as

Catheter-Related InfectionsCross InfectionSepsisUrinary Tract InfectionsHospitalsHumanshealthcare quality improvementhealth policyinfection controlnosocomial infectionspatient safety

Identifiers

PMID33547154
PMCPMC7871234
OpenAlexW3128399028

What OpenQuestion holds

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LicenceCC BY-NC
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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.