Evidence map›Paper›PMID 30668516›Full record

ArticleJMIR mHealth and uHealth2019

Design, Development, and Evaluation of an Injury Surveillance App for Cricket: Protocol and Qualitative Study.

Najeebullah Soomro, Meraj Chhaya, Mariam Soomro, Naukhez Asif, Emily Saurman, David Lyle, Ross Sanders

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 21% 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, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Injury surveillance information system: A review of the system requirements.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2020
    Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

7 authors at 4 institutions in 2 countries.

Najeebullah SoomroBroken Hill University Department of Rural Health, University of Sydney, Broken Hill, Australia.ORCID 0000-0002-4181-3265
Meraj ChhayaAcademy of Computer Science and Software Engineering, University of Johannesburg, Johannesburg, South Africa.ORCID 0000-0001-8897-195X
Mariam SoomroSchool of Public Health and Community Medicine, University of New South Wales, Sydney, Australia.ORCID 0000-0001-7279-0417
Naukhez AsifRural Clinical School, The University of Adelaide, Adelaide, Australia.ORCID 0000-0002-5961-0271
Emily SaurmanBroken Hill University Department of Rural Health, University of Sydney, Broken Hill, Australia.ORCID 0000-0002-6273-4769
David LyleBroken Hill University Department of Rural Health, University of Sydney, Broken Hill, Australia.ORCID 0000-0001-5207-4974
Ross SandersDiscipline of Exercise and Sport Science, Faculty of Health Sciences, The University of Sydney, Lidcombe, Australia.ORCID 0000-0003-0489-3048
The University of Sydney · AUThe University of Adelaide · AUUniversity of Johannesburg · ZAUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInjury surveillance and workload monitoring are important aspects of professional sports, including cricket. However, at the community level, there is a dearth of accessible and intelligent surveillance tools. Mobile apps are an accessible tool for monitoring cricket-related injuries at all levels.

objectiveThe objective of this paper is to share the novel methods associated with the development of the free TeamDoc app and provide evidence from an evaluation of the user experience and perception of the app regarding its functionality, utility, and design.

methodsTeamDoc mobile app for Android and Apple smartphones was developed using 3 languages: C++, Qt Modeling Language, and JavaScript. For the server-side connectivity, Hypertext Preprocessor (PHP) was used as it is a commonly used cross-platform language. PHP includes components that interact with popular database management systems, allowing for secure interaction with databases on a server level. The app was evaluated by administrating a modified user version of the Mobile App Rating Scale (uMARS; maximum score: 5).

resultsTeamDoc is the first complementary, standalone mobile app that records cricket injuries through a smartphone. It can also record cricketing workloads, which is a known risk factor for injury. The app can be used without the need for supplementary computer devices for synchronization. The uMARS scores showed user satisfaction (overall mean score 3.6 [SD 0.5]), which demonstrates its acceptability by cricketers.

conclusionsElectronic injury surveillance systems have been shown to improve data collection during competitive sports. Therefore, TeamDoc may assist in improving injury reporting and may also act as a monitoring system for coaching staff to adjust individual training workloads. The methods described in this paper provide a template for researchers to develop similar apps for other sports.

Indexed as

Software DesignData CollectionHumansMobile ApplicationsPopulation SurveillanceQualitative ResearchSurveys and QuestionnairesWounds and Injuriescricketinjury surveillancemHealthmobile appmobile phoneTeamDoc

Identifiers

PMID30668516
PMCPMC6362388
OpenAlexW2913027412

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.