Evidence map›Paper›PMID 36579999›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2022

Evaluation of Usability and User Experience of Oncodoc 's M-Health Application for Early Detection of Cancer.

Respati Wulandari, Eko Adhi Pangarsa, Pulung Nurtantio Andono, Enny Rachmani, Mohamad Sidiq, Maryani Setyowati, Dwi Eko Waluyo

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Article in Asian Pacific journal of cancer prevention : APJCP, 2022. 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

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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.

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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

7 authors.

Respati WulandariDepartment of Public Health, Faculty of Health Science, Universitas Dian Nuswantoro, Semarang, Indonesia.
Eko Adhi PangarsaMedical Oncoligist-Hematologist Consultant, dr. Karyadi Hospital, Semarang, Indonesia.
Pulung Nurtantio AndonoDepartment of Informatic Engineering, Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, Indonesia.
Enny RachmaniDepartment of Medical Record and Health Information Management, Faculty of Health Science, Universitas Dian Nuswantoro, Semarang, Indonesia.
Mohamad SidiqDepartment of Informatic Engineering, Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, Indonesia.
Maryani SetyowatiDepartment of Medical Record and Health Information Management, Faculty of Health Science, Universitas Dian Nuswantoro, Semarang, Indonesia.
Dwi Eko WaluyoDepartment of Management, Faculty of Economic and Business, Universitas Dian Nuswantoro, Semarang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCancer is a non-communicable disease that accounts for 71% of deaths globally. The prevalence of people living with cancer in Indonesia increased from 1.4/1000 population (2013) to 1.8/1,000 population (2018). This study aims to evaluate usability, user experience, and user feedback on the use of the Oncodoc m-health application.

methodsThe research method uses mixed methods with a cross-sectional approach and online survey sampling techniques (677 respondents), in December 2021-January 2022 in Indonesia. The instruments used are the System Usability Scale and User Experience Questionnaire. The variables measured include the characteristics of respondents, usability, user experience, and responses to using applications qualitatively. Quantitative data were analysed descriptively and the User Experience Questionnaire's analysis tool. Qualitative data were analysed thematically.

resultsEvaluation of the usability of Oncodoc's m-health application is in the "acceptable" category (70.88), and the adjective rating is in the "Good" category. Evaluations of the relative quality of user experience are in the "good" and "very good" types. The average user experience scale is (mean; SD): attractiveness (1.80; 0.99), perspicuity (1.82; 1.05), efficiency (1.78; 1.09), dependability (1.56; 1.01), stimulation (1.81; 1.06), and novelty (1.32; 1.10). The findings of this study are 1) the ability to accommodate user needs, 2) usage barriers, and 3) user expectations for the Oncodoc application.

conclusionOverall, the Oncodoc m-health application is acceptable to users. We recommend developing a cancer early detection application with an approach that refers to user needs for further research.

Indexed as

NeoplasmsTelemedicineEarly Detection of CancerHumansIndonesiaSurveys and QuestionnairesMobile ApplicationsTelemedicineUsabilityUser Experience

Identifiers

PMID36579999
PMCPMC9971463

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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.