Evidence map›Paper›PMID 39106100›Full record

Observational studyJournal of medical Internet research2024

Digital Maturity as a Predictor of Quality and Safety Outcomes in US Hospitals: Cross-Sectional Observational Study.

Anne Snowdon, Abdulkadir Hussein, Melissa Danforth, Alexandra Wright, Reid Oakes

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Perspectives of speech-language therapists on patient safety incidents in South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025
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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

5 authors.

Anne Snowdon *Department of Mathematics & Statistics, University of Windsor, Windsor, ON, Canada.ORCID 0000-0003-4640-6842
Abdulkadir Hussein *Department of Mathematics & Statistics, University of Windsor, Windsor, ON, Canada.ORCID 0000-0002-8683-5935
Melissa Danforth *Leapfrog, Washington, DC, United States.ORCID 0009-0004-4897-5752
Alexandra Wright *Department of Mathematics & Statistics, University of Windsor, Windsor, ON, Canada.ORCID 0000-0002-5367-4274
Reid Oakes *Healthcare Information and Management Systems Society, Chicago, IL, United States.ORCID 0009-0009-9813-7171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study demonstrates that digital maturity contributes to strengthened quality and safety performance outcomes in US hospitals. Advanced digital maturity is associated with more digitally enabled work environments with automated flow of data across information systems to enable clinicians and leaders to track quality and safety outcomes. This research illustrates that an advanced digitally enabled workforce is associated with strong safety leadership and culture and better patient health and safety outcomes.

objectiveThis study aimed to examine the relationship between digital maturity and quality and safety outcomes in US hospitals.

methodsThe data sources were hospital safety letter grades as well as quality and safety scores on a continuous scale published by The Leapfrog Group. We used the digital maturity level (measured using the Electronic Medical Record Assessment Model [EMRAM]) of 1026 US hospitals. This was a cross-sectional, observational study. Logistic, linear, and Tweedie regression analyses were used to explore the relationships among The Leapfrog Group's Hospital Safety Grades, individual Leapfrog safety scores, and digital maturity levels classified as advanced or fully developed digital maturity (EMRAM levels 6 and 7) or underdeveloped maturity (EMRAM level 0). Digital maturity was a predictor while controlling for hospital characteristics including teaching status, urban or rural location, hospital size measured by number of beds, whether the hospital was a referral center, and type of hospital ownership as confounding variables. Hospitals were divided into the following 2 groups to compare safety and quality outcomes: hospitals that were digitally advanced and hospitals with underdeveloped digital maturity. Data from The Leapfrog Group's Hospital Safety Grades report published in spring 2019 were matched to the hospitals with completed EMRAM assessments in 2019. Hospital characteristics such as number of hospital beds were obtained from the CMS database.

resultsThe results revealed that the odds of achieving a higher Leapfrog Group Hospital Safety Grade was statistically significantly higher, by 3.25 times, for hospitals with advanced digital maturity (EMRAM maturity of 6 or 7; odds ratio 3.25, 95% CI 2.33-4.55).

conclusionsHospitals with advanced digital maturity had statistically significantly reduced infection rates, reduced adverse events, and improved surgical safety outcomes. The study findings suggest a significant difference in quality and safety outcomes among hospitals with advanced digital maturity compared with hospitals with underdeveloped digital maturity.

Indexed as

HospitalsPatient SafetyCross-Sectional StudiesElectronic Health RecordsHumansQuality of Health CareUnited Statesassociationassociationscorrelationcorrelationscross sectionaldigital healthdigital maturityhealthcare systemhealthcare systemshealth outcomeshospitalhospital performancehospitalsobservationalquality and safetyreadinessregressionsafetyserviceservicesworkforce

Identifiers

PMID39106100
PMCPMC11336495

What OpenQuestion holds

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LicenceCC BY
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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.