Evidence map›Paper›PMID 28559222›Full record

ArticleJMIR mHealth and uHealth2017

Mobile App Design, Development, and Publication for Adverse Drug Reaction Assessments of Causality, Severity, and Preventability.

Muslimah Ithnin, Mohd Dzulkhairi Mohd Rani, Zuraidah Abd Latif, Paveethra Kani, Asmalita Syaiful, Khairun Nain Nor Aripin, Tengku Amatullah Madeehah Tengku Mohd

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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  3. Article
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  5. Review
  6. Article
  7. How the Smartphone Is Changing Allergy Diagnostics.Current allergy and asthma reports · 2018
    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

7 authors.

Muslimah IthninUniversiti Sains Islam Malaysia, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0000-0002-0557-907X
Mohd Dzulkhairi Mohd RaniUniversiti Sains Islam Malaysia, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0000-0003-1915-4862
Zuraidah Abd LatifHospital Ampang, Ampang, Malaysia.ORCID http://orcid.org/0000-0002-8720-8140
Paveethra KaniHospital Ampang, Ampang, Malaysia.ORCID http://orcid.org/0000-0002-0702-2718
Asmalita SyaifulUniversiti Sains Islam Malaysia, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0000-0002-4624-4030
Khairun Nain Nor AripinUniversiti Sains Islam Malaysia, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0000-0002-0718-3626
Tengku Amatullah Madeehah Tengku MohdUniversiti Sains Islam Malaysia, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0000-0002-2755-2484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdverse drug reactions (ADRs) cause significant morbidity and mortality. Improved assessment of ADRs to identify the causal relationship, the severity, and the preventability will aid ADRs prevention or reduce patient burden.

objectiveThe aim of this study was to develop mobile apps in assisting clinical decision in ADR assessments of causality, severity, and preventability using validated tools. The usability of the apps was assessed.

methodsWe designed mobile apps using validated assessment tools for ADRs. They are the Liverpool ADRs Causality Assessment Tool, Hartwig's Severity Assessment Scale, and the Modified Schumock and Thronton Preventability Scale. The apps were named "Adverse Drug ReactionCausality," "Adverse Drug ReactionSeverity," and "Adverse Drug RxnPreventability." A survey was conducted using the System Usability Scale (SUS) to assess the usability of the developed apps among health care professionals.

resultsThese apps are available for download through Google Play Store for free since January 2015. From the survey, the mean SUS score was 70.9 based on 26 responses from the pediatric ward of Hospital Ampang, Malaysia.

conclusionsThe developed apps received an overall acceptable usability among health care professionals. The usage of these apps will improve detection, assessment, and avoidance of future ADRs. They will also contribute to future research on ADRs, thus increasing drug safety.

Indexed as

adverse drug reactionscomputer-assisted decision makingdrug monitoringmobile applicationspharmacovigilance

Identifiers

PMID28559222
PMCPMC5470006

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Registered trials

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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.