End Users' Perspectives on the Quality and Design of mHealth Technologies During the COVID-19 Pandemic in the Philippines: Qualitative Study

Gonzales, Aldren; Custodio, Razel; Lapitan, Marie Carmela; Ladia, Mary Ann J.

doi:10.2196/41838

Cited by 4 publications

(4 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gonzales et al explore end users' perspectives on the quality and design of mHealth technologies during the COVID-19 pandemic (Gonzales A, 2023). While not explicitly employing SCT, the qualitative study provides insights into user perceptions and observational learning regarding mHealth technologies, particularly in times of crisis.…”

Section: Privacy and Security: Social Cognitive Theorymentioning

confidence: 99%

Security and Privacy Concerns in the Adoption of Iot Smart Homes: A User-Centric Analysis

Magara,

Zhou

2024

Mitteilungen Klosterneuburg

View full text Add to dashboard Cite

The emergence of Internet of Things (IoT) technologies marks a transformative phase in home automation, promising enhanced convenience and efficiency. These technologies offer a multitude of applications that can greatly enhance daily living experiences. With IoT, users gain the ability to remotely manage household devices, control appliances from afar, and receive automated alerts in case of anomalies. However, despite the potential benefits, concerns surrounding security and privacy hinder widespread trust and adoption of these applications. Addressing these concerns is paramount for the broader acceptance and deployment of IoT technologies in smart homes. Various solutions have been proposed to tackle security and privacy issues, yet significant challenges persist, impeding widespread adoption. A user-centric approach emerges as a promising avenue to mitigate many of these challenges. By prioritizing user needs and preferences, it becomes possible to tailor security and privacy measures effectively while supporting diverse IoT applications. We evaluated the proposed IoT smart home adoption model using SMART-PLS version (4.0.9.6), The results show that the proposed relationships are statistically significant (R2 = 0.762). Our research sheds light on the crucial security and privacy considerations within the IoT smart home domain, offering valuable insights into the factors influencing user adoption decisions. This contribution advances the discourse surrounding IoT technology adoption and lays the groundwork for future research and policy initiatives in the dynamic landscape of smart homes.

show abstract

Section: Privacy and Security: Social Cognitive Theorymentioning

confidence: 99%

Security and Privacy Concerns in the Adoption of Iot Smart Homes: A User-Centric Analysis

Magara,

Zhou

2024

Mitteilungen Klosterneuburg

View full text Add to dashboard Cite

show abstract

“…Aldren Gonzales et al explore end users' perspectives on the quality and design of mHealth technologies during the COVID-19 pandemic [24]. While not explicitly employing SCT, the qualitative study provides insights into user perceptions and observational learning regarding mHealth technologies, particularly in times of crisis.…”

Section: Privacy and Security: Social Cognitive Theorymentioning

confidence: 99%

Security and Privacy Concerns in the Adoption of IoT Smart Homes: A User-Centric Analysis

Magara,

Zhou

2024

AJIST

View full text Add to dashboard Cite

The advancement of Internet of Things (IoT) technologies has ushered in a new era of smart homes, promising convenience and automation. However, alongside these advancements, concerns regarding the security and privacy of Internet of Things smart homes have garnered significant attention. The study embarked on a user-centric analysis, delving into the intricacies of security and privacy concerns in the adoption of Internet of Things smart homes. The primary purpose of this research was to investigate the security and privacy concerns that users harbour when adopting Internet of Things smart home technologies. We used SMART-PLS version (4.0.9.6) as the data analysis tool, to examine the concerns and to gain a comprehensive understanding of their impact on adoption. The analysis was, rooted in quantitative research design and based on data gathered through an online questionnaire distributed to the target population of 325 participants. The research response rate was 92%. The hypotheses examined unveiled statistically significant relationships, culminating in results indicating an R<sup>2</sup> of 0.762. This implies that approximately 76.2% of the rationale behind individuals' decisions to either adopt or refrain from using IoT smart home devices, with a focus on security and privacy considerations, can be elucidated by our proposed Structural Equation Model. his model served as a comprehensive lens through which we dissected the intricate interplay of variables shaping user attitudes and behaviors. The study sheds light on the critical concerns of security and privacy within the IoT smart home domain. By leveraging quantitative analysis and a well-crafted Structural Equation Model, we offer valuable insights into the factors influencing user adoption decisions. The research contributes to the broader discourse IoT technology adoption and serves as a foundation for future studies and policy considerations in the ever-evolving landscape of smart homes.

show abstract

“…Scaling up the use of such apps is only possible if the end users are receptive to their use [ 11 ]. Engaging end users in the development and design of mHealth technologies eases the adoption and accessibility of such technologies [ 12 ]. Thus, this study aimed to explore the views of mothers toward a novel mHealth app for their self-monitoring of NNJ based on their perceived usefulness and concerns.…”

Section: Introductionmentioning

confidence: 99%

A Novel Smartphone App for Self-Monitoring of Neonatal Jaundice Among Postpartum Mothers: Qualitative Research Study

Moosa,

Ngeow,

Yang

et al. 2023

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

Background Neonatal jaundice (NNJ) or hyperbilirubinemia is a ubiquitous condition in newborn infants. Currently, the transcutaneous bilirubinometer is used to screen for NNJ in health care facilities, where neonates need to be physically present (ie, a centralized model of care for NNJ screening). Mobile health (mHealth) apps present a low-cost, home-based, and noninvasive system that could facilitate self-monitoring of NNJ and could allow mothers the convenience of screening for NNJ remotely. However, end users’ acceptability of such mHealth apps is of fundamental importance before the incorporation of such apps into clinical practice. Objective The study aimed to explore the perception of postpartum mothers toward self-monitoring of NNJ using a novel mHealth app. Methods Mothers attending video consultations for early postpartum care at 2 Singapore primary care clinics watched an instructional video for a hyperbilirubinemia-screening mHealth app (HSMA). An independent researcher used a semistructured topic guide to conduct in-depth interviews with 25 mothers, assessing their views on HSMAs. All interviews were audio recorded, transcribed verbatim, and checked for accuracy before data analysis. Two researchers independently analyzed the transcripts via thematic analysis. Data were managed using NVivo qualitative data management software. Results The identified themes were grouped under perceived usability and utility. Mothers valued the convenience and utility of HSMAs for remote monitoring of NNJ. They appreciated the objectivity the app readings provided compared to visual inspection. However, they perceived that the app’s applicability would be restricted to severe jaundice, were concerned about its accuracy and restriction to the English language, and lacked confidence in using it. Nevertheless, they were willing to use it once its accuracy was proven and when they received adequate guidance from health care professionals. They also suggested including an action plan for the measured readings and clinical signs within the app. Mothers proposed pairing teleconsultations with HSMAs to boost their confidence and enhance adoption. Conclusions Mothers were receptive to using HSMAs but had concerns. Multiple languages, proof of accuracy, and resources to guide users should be incorporated into the app in the next phase to increase its successful adoption. Complementing such apps with a teleconsultation service presents a plausible and pragmatic NNJ care delivery model in general practice.

show abstract

End Users' Perspectives on the Quality and Design of mHealth Technologies During the COVID-19 Pandemic in the Philippines: Qualitative Study

Cited by 4 publications

References 38 publications

Security and Privacy Concerns in the Adoption of Iot Smart Homes: A User-Centric Analysis

Security and Privacy Concerns in the Adoption of Iot Smart Homes: A User-Centric Analysis

Security and Privacy Concerns in the Adoption of IoT Smart Homes: A User-Centric Analysis

A Novel Smartphone App for Self-Monitoring of Neonatal Jaundice Among Postpartum Mothers: Qualitative Research Study

Contact Info

Product

Resources

About