Evidence map›Paper›PMID 29140434›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2018

Managing public health data: mobile applications and mass vaccination campaigns.

Melissa W McClung, Sarah A Gumm, Megan E Bisek, Amber L Miller, Bryan C Knepper, Arthur J Davidson

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Melissa W McClungDenver Public Health, Denver, CO, USA.
Sarah A GummRocky Mountain Poison and Drug Center, Denver, CO, USA.
Megan E BisekChildren's Hospital Colorado, Aurora, CO, USA (formerly with the Center for Occupational Safety and Health, Denver Health, Denver, CO, USA).
Amber L MillerDenver Health, Denver, CO, USA.
Bryan C KnepperDenver Health, Denver, CO, USA.
Arthur J DavidsonDenver Public Health, Denver, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to data collection challenges during mass immunization events, Denver Public Health developed a mobile application to support efficient public health immunization and prophylaxis activities. The Handheld Automated Notification for Drugs and Immunizations (HANDI) system has been used since 2012 to capture influenza vaccination data during Denver Health's annual employee influenza campaign. HANDI has supported timely and efficient administration and reporting of influenza vaccinations through standardized data capture and database entry. HANDI's mobility allows employee work locations and schedules to be accommodated without the need for a paper-based data collection system and subsequent manual data entry after vaccination. HANDI offers a readily extensible model for mobile data collection to streamline vaccination documentation and reporting, while improving data quality and completeness.

Indexed as

Mobile ApplicationsColoradoHumansMass VaccinationPilot ProjectsPublic Health AdministrationPublic Health Informatics

Identifiers

PMID29140434
PMCPMC7646974

What OpenQuestion holds

Textmetadata
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.