Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps

Stoyanov, Stoyan; Hides, Leanne; Kavanagh, David J.; Zelenko, Оksana; Tjondronegoro, Dian; Mani, Madhavan

doi:10.2196/mhealth.3422

Cited by 1,890 publications

(2,070 citation statements)

References 16 publications

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“…Nevertheless, some limitations need to be considered. provided a validated quality check for our intervention [31,32]. However, at the time of the start of the study, these tools were not available nor tested yet.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Smartphone-Based Physical Activity Telecoaching in Chronic Obstructive Pulmonary Disease: Mixed-Methods Study on Patient Experiences and Lessons for Implementation (Preprint)

Loeckx¹,

Rabinovich²,

Demeyer³

et al. 2018

Preprint

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BACKGROUND Telecoaching approaches can enhance physical activity (PA) in patients with chronic obstructive pulmonary disease (COPD). However, their effectiveness is likely to be influenced by intervention-specific characteristics. OBJECTIVE This study aimed to assess the acceptability, actual usage, and feasibility of a complex PA telecoaching intervention from both patient and coach perspectives and link these to the effectiveness of the intervention. METHODS We conducted a mixed-methods study based on the completers of the intervention group (N=159) included in an (effective) 12-week PA telecoaching intervention. This semiautomated telecoaching intervention consisted of a step counter and a smartphone app. Data from a project-tailored questionnaire (quantitative data) were combined with data from patient interviews and a coach focus group (qualitative data) to investigate patient and coach acceptability, actual usage, and feasibility of the intervention. The degree of actual usage of the smartphone and step counter was also derived from app data. Both actual usage and perception of feasibility were linked to objectively measured change in PA. RESULTS The intervention was well accepted and perceived as feasible by all coaches present in the focus group as well by patients, with 89.3% (142/159) of patients indicating that they enjoyed taking part. Only a minority of patients (8.2%; 13/159) reported that they found it difficult to use the smartphone. Actual usage of the step counter was excellent, with patients wearing it for a median (25th-75th percentiles) of 6.3 (5.8-6.8) days per week, which did not change over time (P=.98). The smartphone interface was used less frequently and actual usage of all daily tasks decreased significantly over time (P<.001). Patients needing more contact time had a smaller increase in PA, with mean (SD) of +193 (SD 2375) steps per day, +907 (SD 2306) steps per day, and +1489 (SD 2310) steps per day in high, medium, and low contact time groups, respectively; P for-trend=.01. The overall actual usage of the different components of the intervention was not associated with change in step count in the total group (P=.63). CONCLUSIONS The 12-week semiautomated PA telecoaching intervention was well accepted and feasible for patients with COPD and their coaches. The actual usage of the step counter was excellent, whereas actual usage of the smartphone tasks was lower and decreased over time. Patients who required more contact experienced less PA benefits. CLINICALTRIAL ClinicalTrials.gov NCT02158065; http://clinicaltrials.gov/ct2/show/NCT02158065 (Archived by WebCite at http://www.webcitation.org/73bsaudy9)

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Section: Strengths and Limitationsmentioning

confidence: 99%

Smartphone-Based Physical Activity Telecoaching in Chronic Obstructive Pulmonary Disease: Mixed-Methods Study on Patient Experiences and Lessons for Implementation (Preprint)

Loeckx¹,

Rabinovich²,

Demeyer³

et al. 2018

Preprint

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“…The quality of the most cited apps listed by respondents was assessed using the Mobile Apps Rating Scale [13]. To be included in the quality assessment an app needed to be cited by 2 or more people.…”

Section: Quality Assessment Of the Appsmentioning

confidence: 99%

Mobile Apps for Management of Tinnitus: Users’ Survey, Quality Assessment, and Content Analysis (Preprint)

Sereda¹,

Smith²,

Newton³

et al. 2018

Preprint

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“…Direct participation of users in the health technology assessment process allows them to be part of the decision-making process [10]. Some tools used to evaluate mHealth applications from users view such as the quality of experience questionnaire (QoE) [11] or the Mobile App Rating Scale (MARS) [12] have been suggested. Patient data management systems (PDMS) integrated with a clinical decision support system (CDSS) can improve outcomes in chronicles diseases as hypercholesterolemia [13].…”

Section: International Journal Of Cardiovascular Practicementioning

confidence: 99%

Evaluation of a Clinical Decision Support System for Dyslipidemia Treatment (HTE-DLPR) by QoE questionnaire

Zamora¹,

Carrión²,

Aymerich³

et al. 2017

ijcp

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Introduction: Clinical decision support systems (CDSS) are computer systems designed to assist clinicians with patient-related decision making, such as diagnosis and treatment. CDSS have shown to improve both patient outcomes and cost of care. Methods: A multi-center observational prospective study was conducted. Ten physicians agreed to participate. Seventy-seven patients with high or very high cardiovascular risk were included. After using CDSS for dyslipidemia (HTE-DLPR) for a 3 months period, participants were asked to evaluate their experience with HTE-DLPR using a quality of experience questionnaire (QoE) tool for mHealth applications. Results: Total score on the QoE was 3.89 out of 5. The highest scores were received for precision, ease of use and content quality. The lowest scores were given to security, appearance and performance. Physicians were in strong agreement with the 1st HTE-DLPR recommendation in 86.1% and the system's use was described as comfortable in 85% of cases. Users positively evaluated the development of a new version of HTE-DLPR in the future receiving a total score of 4.25 out of 5. Conclusions: A CDSS for dyslipidemia (HTE-DLP) has been positively evaluated by physicians using QoE questionnaire.

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Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps

Cited by 1,890 publications

References 16 publications

Smartphone-Based Physical Activity Telecoaching in Chronic Obstructive Pulmonary Disease: Mixed-Methods Study on Patient Experiences and Lessons for Implementation (Preprint)

Smartphone-Based Physical Activity Telecoaching in Chronic Obstructive Pulmonary Disease: Mixed-Methods Study on Patient Experiences and Lessons for Implementation (Preprint)

Mobile Apps for Management of Tinnitus: Users’ Survey, Quality Assessment, and Content Analysis (Preprint)

Evaluation of a Clinical Decision Support System for Dyslipidemia Treatment (HTE-DLPR) by QoE questionnaire

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