Digital continuous healthcare and disruptive medical technologies: m-Health and telemedicine skills training for data-driven healthcare

Sapci, A Hasan; Sapci, Hasan

doi:10.1177/1357633x18793293

Cited by 22 publications

(20 citation statements)

References 14 publications

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“…The continuous growth of mobile phone technology opens new opportunities for mobile health (mHealth) apps. The improved computing capability, increased memory, and the open operating systems of smartphones support mHealth app development and help shape the future of health care [1,2]. In 2018, there were approximately 205.4 billion mobile apps downloaded worldwide, with a forecasted growth to 258.2 billion by 2022 [3].…”

Section: Introductionmentioning

confidence: 99%

Quality of Deaf and Hard-of-Hearing Mobile Apps: Evaluation Using the Mobile App Rating Scale (MARS) With Additional Criteria From a Content Expert

Romero¹,

Kates²,

Hart³

et al. 2019

JMIR Mhealth Uhealth

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Background The spread of technology and dissemination of knowledge across the World Wide Web has prompted the development of apps for American Sign Language (ASL) translation, interpretation, and syntax recognition. There is limited literature regarding the quality, effectiveness, and appropriateness of mobile health (mHealth) apps for the deaf and hard-of-hearing (DHOH) that pose to aid the DHOH in their everyday communication and activities. Other than the star-rating system with minimal comments regarding quality, the evaluation metrics used to rate mobile apps are commonly subjective. Objective This study aimed to evaluate the quality and effectiveness of DHOH apps using a standardized scale. In addition, it also aimed to identify content-specific criteria to improve the evaluation process by using a content expert, and to use the content expert to more accurately evaluate apps and features supporting the DHOH. Methods A list of potential apps for evaluation was generated after a preliminary screening for apps related to the DHOH. Inclusion and exclusion criteria were developed to refine the master list of apps. The study modified a standardized rating scale with additional content-specific criteria applicable to the DHOH population for app evaluation. This was accomplished by including a DHOH content expert in the design of content-specific criteria. Results The results indicate a clear distinction in Mobile App Rating Scale (MARS) scores among apps within the study’s three app categories: ASL translators (highest score=3.72), speech-to-text (highest score=3.6), and hard-of-hearing assistants (highest score=3.90). Of the 217 apps obtained from the search criteria, 21 apps met the inclusion and exclusion criteria. Furthermore, the limited consideration for measures specific to the target population along with a high app turnover rate suggests opportunities for improved app effectiveness and evaluation. Conclusions As more mHealth apps enter the market for the DHOH population, more criteria-based evaluation is needed to ensure the safety and appropriateness of the apps for the intended users. Evaluation of population-specific mHealth apps can benefit from content-specific measurement criteria developed by a content expert in the field.

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Section: Introductionmentioning

confidence: 99%

Quality of Deaf and Hard-of-Hearing Mobile Apps: Evaluation Using the Mobile App Rating Scale (MARS) With Additional Criteria From a Content Expert

Romero¹,

Kates²,

Hart³

et al. 2019

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…If the issue of human resource availability is likely to persist, there should be considerations on making best use of available resources [34,35]. Alternatively, the world is now in the Industrial Revolution 4.0 era where the central focus is on technology and task-shifting from human-dependent to technology-enhanced innovations; this includes the health sector [36].…”

Section: Discussionmentioning

confidence: 99%

“…Technology uptake such as the electronic medical record can reduce the corporeal efforts related to care provision and service quality [36,39]. In our study, this approach can be applied to the visit checklist and clinic appointment scheduling, NCD care form management of records, the NCD risk score calculations as well as arrangement of referrals between clinic and hospital.…”

Section: Plos Onementioning

confidence: 99%

“…In our study, this approach can be applied to the visit checklist and clinic appointment scheduling, NCD care form management of records, the NCD risk score calculations as well as arrangement of referrals between clinic and hospital. Feasibility of technology implementation in Malaysia, however, should also consider the existing infrastructure of the building where it will be implemented, specifically on the electrical wiring, network access, electronic equipment required as well as users' technology literacy to use any proposed technology to be implemented [36,40].…”

Section: Plos Onementioning

confidence: 99%

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Process evaluation of enhancing primary health care for non-communicable disease management in Malaysia: Uncovering the fidelity & feasibility elements

et al. 2021

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Background In combating the increasing trend of non-communicable diseases (NCDs) over the last two decades in the country, the Ministry of Health Malaysia developed the Enhanced Primary Health Care (EnPHC) initiative to improve care management across different levels of the public service delivery network. An evaluation research component was embedded to explore the implementation issues in terms of fidelity, feasibility, adaptation and benefit of the initiative’s components which were triage, care coordination, screening, risk management and referral system. Methods A mixed methods study was conducted at 20 participating EnPHC clinics in Johor and Selangor, two months after the intervention was initiated. Data collected from self-reported forms and a structured observation checklist were descriptively analysed. In-depth interviews were also conducted with 20 participants across the clinics selected to clarify any information gaps observed in each clinic, and data were thematically analysed. Results Evaluation showed that all components of EnPHC intervention had been successfully implemented except for the primary triage counter and visit checklist. The challenges were mainly discovered in terms of human resource and physical structure. Although human resource was a common implementation challenge across all interventions, clinic-specific issues could still be identified. Among the adaptive measures taken were task sharing among staff and workflow modification to match the clinic’s capacity. Despite the challenges, early benefits of implementation were highlighted especially in terms of service outcomes. Conclusions The evaluation study disclosed issues of human resource and physical infrastructure when a supplementary intervention is implemented. To successfully achieve a scaled-up PHC service delivery model based on comprehensive management of NCDs patient-centred care, the adaptive measures in local clinic context highlight the importance of collaboration between good organisational process and good clinical practice and process.

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“…The studies by Evans et al [27] and Makhni et al [28] introduced the use of robotics in the area of surgery (telerobotics), together with the identification of the advances and limitations. Another field of paramount importance deals with the training of health staff, of which the training of various skills and the practice of surgeries remotely are the most relevant aspects [29][30][31]. Telerehabilitation is also a topic of interest when dealing with children [32,33], young adults [34,35] and the elderly [36].…”

Section: Related Workmentioning

confidence: 99%

A Virtual Reality-Based Cognitive Telerehabilitation System for Use in the COVID-19 Pandemic

et al. 2021

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The COVID-19 pandemic has changed people’s lives and the way in which certain services are provided. Such changes are not uncommon in healthcare services and they will have to adapt to the new situation by increasing the number of services remotely offered. Limited mobility has resulted in interruption of treatments that traditionally have been administered through face-to-face modalities, especially those related to cognitive impairments. In this telerehabilitation approach, both the patient and the specialist physician enter a virtual reality (VR) environment where they can interact in real time through avatars. A spaced retrieval (SR) task is implemented in the system to analyze cognitive performance. An experimental group (n = 20) performed the SR task in telerehabilitation mode, whereas a control group (n = 20) performed the SR task through a traditional face-to-face mode. The obtained results showed that it is possible to carry out cognitive rehabilitation processes through a telerehabilitation modality in conjunction with VR. The cost-effectiveness of the system will also contribute to making healthcare systems more efficient, overcoming both geographical and temporal limitations.

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Digital continuous healthcare and disruptive medical technologies: m-Health and telemedicine skills training for data-driven healthcare

Cited by 22 publications

References 14 publications

Quality of Deaf and Hard-of-Hearing Mobile Apps: Evaluation Using the Mobile App Rating Scale (MARS) With Additional Criteria From a Content Expert

Quality of Deaf and Hard-of-Hearing Mobile Apps: Evaluation Using the Mobile App Rating Scale (MARS) With Additional Criteria From a Content Expert

Process evaluation of enhancing primary health care for non-communicable disease management in Malaysia: Uncovering the fidelity & feasibility elements

A Virtual Reality-Based Cognitive Telerehabilitation System for Use in the COVID-19 Pandemic

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