Performance and usability evaluation of a mobile health data capture application in clinical cancer trials follow-up

Paulissen, John MJ; Zegers, Catharina ML; Nijsten, Iverna R; Reiters, Pascalle HCM; Houben, Ruud; Eekers, Daniëlle; Roelofs, Erik

doi:10.1016/j.tipsro.2022.10.005

Cited by 3 publications

(4 citation statements)

References 25 publications

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“…al. [ 105 ], a total of 15 cancer patients returned SUS forms that were used in the analysis of this study which graded the mHealth app in range from 0 to 100. The outcomes from the computed SUS scores indicate a mean score of 86.8, categorizing the mHealth app as excellent.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, it extends the traditional open-ended medical chatbot solutions with the capacity of extracting symptoms and causes from user responses and thus extending the interview with follow-up questions, and compared with traditional (e)PROMs, modeling the discourse to be relevant to actual issues experienced by the patient. Regarding the evaluation of user experience, we have found and compared some studies [ 101 , 102 , 103 , 104 , 105 ] that also include mHealth apps for cancer patients. The comparison of those studies is presented in Section 4.4 , Feasibility of MRAST Framework in the Real World.…”

Section: Related Workmentioning

confidence: 99%

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Multilingual Framework for Risk Assessment and Symptom Tracking (MRAST)

Šafran,

Lin,

Nateqi

et al. 2024

Sensors

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The importance and value of real-world data in healthcare cannot be overstated because it offers a valuable source of insights into patient experiences. Traditional patient-reported experience and outcomes measures (PREMs/PROMs) often fall short in addressing the complexities of these experiences due to subjectivity and their inability to precisely target the questions asked. In contrast, diary recordings offer a promising solution. They can provide a comprehensive picture of psychological well-being, encompassing both psychological and physiological symptoms. This study explores how using advanced digital technologies, i.e., automatic speech recognition and natural language processing, can efficiently capture patient insights in oncology settings. We introduce the MRAST framework, a simplified way to collect, structure, and understand patient data using questionnaires and diary recordings. The framework was validated in a prospective study with 81 colorectal and 85 breast cancer survivors, of whom 37 were male and 129 were female. Overall, the patients evaluated the solution as well made; they found it easy to use and integrate into their daily routine. The majority (75.3%) of the cancer survivors participating in the study were willing to engage in health monitoring activities using digital wearable devices daily for an extended period. Throughout the study, there was a noticeable increase in the number of participants who perceived the system as having excellent usability. Despite some negative feedback, 44.44% of patients still rated the app’s usability as above satisfactory (i.e., 7.9 on 1–10 scale) and the experience with diary recording as above satisfactory (i.e., 7.0 on 1–10 scale). Overall, these findings also underscore the significance of user testing and continuous improvement in enhancing the usability and user acceptance of solutions like the MRAST framework. Overall, the automated extraction of information from diaries represents a pivotal step toward a more patient-centered approach, where healthcare decisions are based on real-world experiences and tailored to individual needs. The potential usefulness of such data is enormous, as it enables better measurement of everyday experiences and opens new avenues for patient-centered care.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Multilingual Framework for Risk Assessment and Symptom Tracking (MRAST)

Šafran,

Lin,

Nateqi

et al. 2024

Sensors

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“…Jank term occurs when the UI is not fluently rendered. For example, a frame takes 10 times longer to be rendered, so it is discarded, and thus the animation is visibly shaken [25].…”

Section: Design and Programming Of Mobile Applicationsmentioning

confidence: 99%

Securing mobility in Bucaramanga

Angarita Reina,

Aparicio Duran,

Arias Quintero

et al. 2023

ing. Solidar

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Introduction: The smart city paradigm is made up of a set of actors who must operate jointly to guarantee road flow. However, sometimes there are accidents, and they affect productive apparatus, cause minor or temporary injuries and sometimes death of the individuals involved. Problem: Events occur for multiple reasons and the authorities have difficulties in implementing controls that minimize their occurrence since they do not have the necessary tools to capture and analyze timely information on the claims that have been presented. Objective: The objective is to increase road safety control and safeguard mobility in Bucaramanga. For this, a mobile application is designed to capture accident data by implementing the Flutter framework and the Model- View design pattern methodology. Controller (MVC). Methodology: The development of software to analyze the large amount of information on road events. A da- tabase is developed where said information is stored and processed using programming languages, coding and data hosting. Design and process factors are also considered according to the user’s needs, which will determine the interface and expected performance. Results: A structured system for data capture with the ability to integrate the general community, streamline the availability of information and facilitate decision making that deals with the problem in real time. Conclusion: It is concluded that its implementation in the city fosters self-care for pedestrians and drivers, facilitating the design of effective control measures by territorial entities, bringing the city of Bucaramanga closer to sustainability. Originality: This methodology for integrating events is unique in the country and is developed based on the city’s own characteristics. Limitations: The lack of information provided by the government actors.

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“…Many studies from high-income countries (HICs) have demonstrated the association of using mAPP with better symptom management, enhanced communication between patients and providers, increased compliance to reporting treatment-related toxicity, improved quality of life and increased physical activity [14][15][16][17][18][19][20]. Majority of households in LMICs have access to at least one mobile phone [21].…”

Section: Introductionmentioning

confidence: 99%

Mobile-Based Application Interventions to Enhance Cancer Control and Care in Low- and Middle-Income Countries: A Systematic Review

Donkor,

Ayitey,

Adotey

et al. 2023

Int J Public Health

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Objective: To identify and appraise mobile-based application (mAPP) interventions that have been used to support cancer control and care in low- and middle-income countries (LMICs).Methods: Four electronic databases were systematically searched for studies that reported primary research findings related to mAPP interventions applied in oncology settings in LMICs. A narrative synthesis was performed using the Mhealth Index and Navigation Database as an analytical framework.Results: Twenty studies reporting 18 cancer control and care mAPPs were included in this review. Among these mAPPs, ten focused on prevention, screening and early detection of cancer, five provided information to optimise supportive and palliative care, two provided support to assist treatment-shared decision-making and one covered information for follow-up and survivorship care.Conclusion: Cancer mAPP interventions are gradually gaining attention in LMICs as they provide unique resources for empowering and strengthening the role of people with cancer in their own care. To enhance cancer control, a focus on prevention and early detection is important; however, more mAPP interventions related to cancer treatment, follow-up and survivorship are also needed to enable more cost-effective cancer care.

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Performance and usability evaluation of a mobile health data capture application in clinical cancer trials follow-up

Cited by 3 publications

References 25 publications

Multilingual Framework for Risk Assessment and Symptom Tracking (MRAST)

Multilingual Framework for Risk Assessment and Symptom Tracking (MRAST)

Securing mobility in Bucaramanga

Mobile-Based Application Interventions to Enhance Cancer Control and Care in Low- and Middle-Income Countries: A Systematic Review

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