Evidence map›Paper›PMID 36654771›Full record

ArticleIEEE journal of translational engineering in health and medicine2023

Multi-Disciplinary Design and Implementation of a Mass Vaccination Clinic Mobile Application to Support Decision-Making.

Ryan Tennant, Moses Tetui, Kelly Grindrod, Catherine M Burns

Abstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Ryan TennantDepartment of Systems Design EngineeringUniversity of Waterloo Waterloo ON N2L 3G1 Canada.ORCID 0000-0002-0932-9510
Moses TetuiDepartment of Epidemiology and Global HealthUmeå University 901 87 Umeå Sweden.ORCID 0000-0001-6833-7601
Kelly GrindrodSchool of PharmacyUniversity of Waterloo Waterloo ON N2G 1C5 Canada.ORCID 0000-0003-1135-0391
Catherine M BurnsDepartment of Systems Design EngineeringUniversity of Waterloo Waterloo ON N2L 3G1 Canada.ORCID 0000-0002-6182-958X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass vaccination clinics are complex systems that combine professionals who do not typically work together. Coordinating vaccine preparation and patient intake is critically important to maintain patient flow equilibrium, requiring continuous communication and shared decision-making to reduce vaccine waste.

objectives(1) To develop a mobile application (app) that can address the information needs of vaccination clinic stakeholders for end-of-day doses decision-making in mass immunization settings; and (2) to understand usability and clinical implementation among multi-disciplinary users.

methodsContextual inquiry guided 71.5 hours of observations to inform design characteristics. Rapid iterative testing and evaluation were performed to validate and improve the design. Usability and integration were evaluated through observations, interviews, and the system usability scale.

resultsDesigning the app required consolidating contextual factors to support information and workload needs. Twenty-four participants used the app at four clinics who reported its effectiveness in reducing stress and improving communication efficiency and satisfaction. They also discussed positive workflow changes and design recommendations to improve its usefulness. The average system usability score was 87 (n = 22). DISCUSSION: There is significant potential for mobile apps to improve workflow efficiencies for information sharing and decision-making in vaccination clinics when designed for established cultures and usability, thereby providing frontline workers with greater time to focus on patient care and immunization needs. However, designing and implementing digital systems for dynamic settings is challenging when healthcare teams constantly adapt to evolving complexities. System-level barriers to adoption require further investigation. Future research should explore the implementation of the app within global contexts.

Indexed as

Mobile ApplicationsElectronic Health RecordsHumansMass VaccinationPersonal SatisfactionDecision support systemshuman factorsmass vaccination clinicsmobile applicationsusability testing

Identifiers

PMID36654771
PMCPMC9842226

What OpenQuestion holds

Textmetadata
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.