Usable Mobile App for Community Education on Colorectal Cancer: Development Process and Usability Study

Marzuki, Muhamad Fadhil Mohamad; Yaacob, Nor Azwany; Yaacob, Najib Majdi; Hassan, Muhammad Radzi Abu; Ahmad, Shahrul Bariyah

doi:10.2196/12103

Cited by 29 publications

(31 citation statements)

References 11 publications

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“…Our findings can be compared with usability of mobile apps as there is numerous published evidence in this area. The mean score in our study is comparable to the mean score of SKAMA (72.9 (SD ± 11.5)) which was used to assess a colorectal community education mobile app in Malaysia [38]. Other validation studies that used the original SUS had reported higher mean scores.…”

Section: Discussionsupporting

confidence: 67%

Adaptation and Psychometric Validation of the EMPOWER-SUSTAIN Usability Questionnaire (E-SUQ) among Patients with Metabolic Syndrome in Primary Care

Sahar

Badlishah-Sham

Ramli

2021

IJERPH

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Self-management support is one of the most important components of the Chronic Care Model (CCM). The EMPOWER-SUSTAIN Global Cardiovascular Risks Self-Management Booklet© was developed for patients with Metabolic Syndrome (MetS), inspired by the CCM. Assessing usability of a self-management tool is important in chronic disease management. However, there was no available instrument to assess usability of a self-management booklet, as most instruments were developed to assess usability of mobile application. Therefore, this study aimed to adapt Skala Kebolehgunaan Aplikasi Mudah Alih (SKAMA) into the EMPOWER-SUSTAIN Usability Questionnaire (E-SUQ) and to determine its validity and reliability in assessing usability of a self-management booklet. A cross-sectional validation study was conducted among patients with MetS attending a university primary care clinic in Selangor, Malaysia. Content validation, adaptation and face validation of E-SUQ were performed according to recommended guidelines. It underwent two rounds of content validation as major revision was required for item 5. Subsequently, the revised E-SUQ was face-validated by 10 participants. Psychometric evaluation was conducted using principal component analysis with varimax rotation to determine the underlying structure of E-SUQ. Internal consistency reliability was assessed using Cronbach’s α coefficient and the test-retest reliability was assessed using intraclass correlation coefficient (ICC (2,k)). A total of 205 patients participated in the study. The item-level content-validity-index (I-CVI) for item 5 improved from 0.57 to 1.0 after the second round of content validation. The final S-CVI/Ave value for ESUQ was >0.90. The item-level face-validity-index (I-FVI) ranged between 0.9 and 1.0. Kaiser-Meyer-Olkin value of 0.871 and Bartlett’s test of sphericity p-value of <0.05 indicated good sample adequacy for factor analysis. Two factors with eigenvalues of >1 were extracted according to the Kaiser’s Criteria. The two extracted factors explained 60.6% of the cumulative percentage of variance. The elbow of the scree plot occurred between the second and third component, suggesting two factors to be retained. The two factors were consistent with “Positive” and “Negative” tone model. The overall Cronbach’s α coefficient was 0.77, indicating good internal reliability. The overall ICC was 0.85, indicating good reproducibility. The E-SUQ is shown to be valid, reliable and stable to measure the usability of a self-management booklet among patients with MetS in a university primary care clinic in Malaysia.

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Section: Discussionsupporting

confidence: 67%

Adaptation and Psychometric Validation of the EMPOWER-SUSTAIN Usability Questionnaire (E-SUQ) among Patients with Metabolic Syndrome in Primary Care

Sahar

Badlishah-Sham

Ramli

2021

IJERPH

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“…Most AI-powered virtual assistants provide personalized healthcare services and improve the communication between patients and care providers. In addition, AI-based applications in mobile devices, such as the Colorectal Cancer Awareness Application (ColorApp), may be used to improve community education and participation in CRC screening programs [170].…”

Section: Solutions Limitations and Future Directionsmentioning

confidence: 99%

Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era

et al. 2021

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The development of artificial intelligence (AI) algorithms has permeated the medical field with great success. The widespread use of AI technology in diagnosing and treating several types of cancer, especially colorectal cancer (CRC), is now attracting substantial attention. CRC, which represents the third most commonly diagnosed malignancy in both men and women, is considered a leading cause of cancer-related deaths globally. Our review herein aims to provide in-depth knowledge and analysis of the AI applications in CRC screening, diagnosis, and treatment based on current literature. We also explore the role of recent advances in AI systems regarding medical diagnosis and therapy, with several promising results. CRC is a highly preventable disease, and AI-assisted techniques in routine screening represent a pivotal step in declining incidence rates of this malignancy. So far, computer-aided detection and characterization systems have been developed to increase the detection rate of adenomas. Furthermore, CRC treatment enters a new era with robotic surgery and novel computer-assisted drug delivery techniques. At the same time, healthcare is rapidly moving toward precision or personalized medicine. Machine learning models have the potential to contribute to individual-based cancer care and transform the future of medicine.

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“…The SKAMA questionnaire was readily translated, cross-culturally adapted and validated (CVI: 0.91; FVI: 0.94; Cronbach Alpha: 0.85) [ 65 ]. SKAMA has been used to assess the usability of mHealth application for community education [ 67 ]. It consisted of a 10-item survey rated from 1 (strongly disagree) to 5 (strongly agree) on a 5-point Likert scale, providing an overall subjective assessment of a system.…”

Section: Methodsmentioning

confidence: 99%

Development and usability testing of mobile application on diet and oral health

et al. 2021

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In several nations, caries in pre-school children remain a significant oral health issue. In an outbreak period such as the Coronavirus disease 2019 (COVID-19), remote contact and education aimed at the prevention of oral diseases and the preservation of children’s oral health are more relevant than ever. Currently, the amount of published applications is far higher than the published scientific studies while the problems of usability remains vulnerable. The goal of this paper was to comprehensively document the phase of development and usability testing of a mobile application for diet and oral health, namely Gigiku Sihat, which was primarily intended to be used by parents and guardians of pre-school children. The mobile application was developed using the System Development Life Cycle principle. Apart from searching for the available oral health application on Android platform, the initial requirement gathering process consisted of situational analysis, concept generation, content development, and features and functional requirement determination. The mobile application design and implementation evolved at each phase before being finalised. Gigiku Sihat was successfully developed in the Bahasa Malaysia. Finalised Gigiku Sihat was installed on mobile devices to determine the usability using translated and validated System Usability Scale questionnaire namely Skala Kebolehgunaan Aplikasi Mudah Alih (SKAMA). The mean score usability with score of 68 and above was deemed to have good usability. This study found that Gigiku Sihat mean (SD) usability score was 77.0 (14.18). The results were promising as they showed that Gigiku Sihat had a good usability. Thus, the development of this mobile application focusing on diet and oral health served as a new source of oral health education and provided a necessary foundation in developing future improved mobile application development for parents in the prevention of early childhood caries.

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Usable Mobile App for Community Education on Colorectal Cancer: Development Process and Usability Study

Cited by 29 publications

References 11 publications

Adaptation and Psychometric Validation of the EMPOWER-SUSTAIN Usability Questionnaire (E-SUQ) among Patients with Metabolic Syndrome in Primary Care

Adaptation and Psychometric Validation of the EMPOWER-SUSTAIN Usability Questionnaire (E-SUQ) among Patients with Metabolic Syndrome in Primary Care

Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era

Development and usability testing of mobile application on diet and oral health

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