Evidence map›Paper›PMID 34328436›Full record

ArticleJMIR public health and surveillance2021

Building an Interactive Geospatial Visualization Application for National Health Care-Associated Infection Surveillance: Development Study.

Shuai Zheng, Jonathan R Edwards, Margaret A Dudeck, Prachi R Patel, Lauren Wattenmaker, Muzna Mirza, Sheri Chernetsky Tejedor, Kent Lemoine, Andrea L Benin, Daniel A Pollock

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 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
1.4field-weighted citation impact, top 19% 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, 9 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

10 authors at 1 institution in 1 country.

Shuai ZhengDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-8090-9278
Jonathan R EdwardsDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-1461-8499
Margaret A DudeckDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-8537-1940
Prachi R PatelDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-7626-1544
Lauren WattenmakerDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-6595-9082
Muzna MirzaDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-8096-3525
Sheri Chernetsky TejedorDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-3931-2322
Kent LemoineDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-5305-7313
Andrea L BeninDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-2765-6272
Daniel A PollockDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-3401-2769
Centers for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Centers for Disease Control and Prevention's (CDC's) National Healthcare Safety Network (NHSN) is the most widely used health care-associated infection (HAI) and antimicrobial use and resistance surveillance program in the United States. Over 37,000 health care facilities participate in the program and submit a large volume of surveillance data. These data are used by the facilities themselves, the CDC, and other agencies and organizations for a variety of purposes, including infection prevention, antimicrobial stewardship, and clinical quality measurement. Among the summary metrics made available by the NHSN are standardized infection ratios, which are used to identify HAI prevention needs and measure progress at the national, regional, state, and local levels.

objectiveTo extend the use of geospatial methods and tools to NHSN data, and in turn to promote and inspire new uses of the rendered data for analysis and prevention purposes, we developed a web-enabled system that enables integrated visualization of HAI metrics and supporting data.

methodsWe leveraged geocoding and visualization technologies that are readily available and in current use to develop a web-enabled system designed to support visualization and interpretation of data submitted to the NHSN from geographically dispersed sites. The server-client model-based system enables users to access the application via a web browser.

resultsWe integrated multiple data sets into a single-page dashboard designed to enable users to navigate across different HAI event types, choose specific health care facility or geographic locations for data displays, and scale across time units within identified periods. We launched the system for internal CDC use in January 2019.

conclusionsCDC NHSN statisticians, data analysts, and subject matter experts identified opportunities to extend the use of geospatial methods and tools to NHSN data and provided the impetus to develop NHSNViz. The development effort proceeded iteratively, with the developer adding or enhancing functionality and including additional data sets in a series of prototype versions, each of which incorporated user feedback. The initial production version of NHSNViz provides a new geospatial analytic resource built in accordance with CDC user requirements and extensible to additional users and uses in subsequent versions.

Indexed as

Cross InfectionCenters for Disease Control and Prevention, U.S.Delivery of Health CareHealth FacilitiesHumansUnited Statesdata visualizationgeospatial information systemhealth care–associated infection

Identifiers

PMID34328436
PMCPMC8367128
OpenAlexW3163853261

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.