Perceptions on mobile health use for health education in an Indigenous population

Umaefulam, Valerie; Premkumar, Kalyani; Koole, Marguerite

doi:10.1177/20552076221092537

Cited by 8 publications

(4 citation statements)

References 53 publications

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“…For instance, smartwatches and wristbands with various sensors can collect continuous biological, behavioral, and environmental data; deliver health interventions; and measure users' health outcomes [12]. Mobile apps can keep people connected with their families and friends, disseminate health information [13], store and share health and lifestyle data [14], manage chronic diseases [15], and manage medical appointments [16]. Self-test kits, such as Antigen Rapid Test Kits, allow people to obtain results swiftly and conveniently at any location and time [17].…”

Section: Introductionmentioning

confidence: 99%

Health-Seeking Behavior and Its Associated Technology Use: Interview Study Among Community-Dwelling Older Adults

Zhang¹,

Lee²,

Teo³

2023

JMIR Aging

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Background Understanding older people’s health-seeking behavior (HSB) is crucial for uncovering their health needs and priorities and developing appropriate policies to address them and avert their disease progression. Technologies play an active role in our daily lives and have been incorporated into health activities to support the older population and facilitate their HSB. However, previous studies of HSB have mainly focused on behaviors during illness, and there are limited studies on how technologies have been used in older people’s health-seeking activities. Objective This study aimed to investigate HSB and the associated technology use among the older population, ultimately proposing implications for practice to address their unmet health needs. Methods This paper presents partial data from a large qualitative study, which has been approved by the institutional review board and used a phenomenological approach. Semistructured interviews were conducted between April 2022 and July 2022, either via Zoom (Zoom Video Communications Inc) or face-to-face sessions. Inclusion criteria were being aged ≥50 years, long-term residence in Singapore, and being able to speak English or Mandarin. The interviews were manually transcribed verbatim, and thematic analysis was performed, with the individual as the unit of analysis to understand the patterns of behaviors. Results In total, 15 interviews were conducted to reach thematic saturation. We identified 5 main consequences of HSB, which were aligned with the original HSB model. Regarding technology use in health seeking, 4 themes were extracted: the most widely used digital technologies are the mobile health apps and wearable devices with the associated wellness programs launched by the government and local companies, and they have the potential to enhance health communication, promote health maintenance, and increase access to health services; information communication technologies and social media, though not primarily designed for health purposes, play a substantial role in easing the process of seeking health information and managing symptoms. Although the outbreak of the COVID-19 pandemic has resulted in some alterations to older adults’ well-being, it has catalyzed the adoption of telehealth as a complement to access health care services, and older adults have different considerations when selecting technologies to facilitate their health seeking and fulfill their health needs. Moreover, 4 archetypes were proposed based on our findings and the insights gained from our participants’ observations in their social networks. These findings led to several implications for practice regarding health communication and promotion, health education, technology design and improvement, telemonitoring service implementation, and solutions to address the needs of each proposed archetype. Conclusions Unlike the commonly held belief that older adults resist technologies and lack technological proficiency, our findings showed that technologies could play a promising role in facilitating older adults’ health seeking. Our findings have implications for the design and implementation of health services and policies.

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Section: Introductionmentioning

confidence: 99%

Health-Seeking Behavior and Its Associated Technology Use: Interview Study Among Community-Dwelling Older Adults

Zhang¹,

Lee²,

Teo³

2023

JMIR Aging

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“…Over the past few decades, there has been a growing trend toward computerizing health care with the hope of improving health outcomes, reducing costs for both health care providers and patients, and improving the ease of access to data and sharing of health care information [ 12 ]. On the same note, experiences during the COVID-19 pandemic proved that technological innovations should be effectively and efficiently used for health care and the number of patients visiting doctors will drop exponentially, which will reduce the weight placed on the health care systems of countries [ 53 ].…”

Section: Discussionmentioning

confidence: 99%

“…Low immunity levels make these ailments and symptoms more likely to worsen the patient’s condition owing to poor adherence to medicine [ 9 , 10 ]. The use of technology to elicit behavioral changes for self-monitoring of complicated ailments such as diabetes has been deemed rewarding by several researchers [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

mHealth Self-Monitoring Model for Medicine Adherence of Patients With Diabetes in Resource-Limited Countries: Structural Equation Modeling Approach

Kgasi¹,

Chimbo²,

Motsi³

2023

JMIR Form Res

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Background The COVID-19 pandemic has led to serious challenges and emphasized the importance of using technology for health care operational transformation. Consequently, the need for technological innovations has increased, thus empowering patients with chronic conditions to tighten their adherence to medical prescriptions. Objective This study aimed to develop a model for a mobile health (mHealth) self-monitoring system for patients with diabetes in rural communities within resource-limited countries. The developed model could be based on the implementation of a system for the self-monitoring of patients with diabetes to increase medical adherence. Methods This study followed a quantitative approach, in which data were collected from health care providers using a questionnaire with close-ended questions. Data were collected from district hospitals in 3 South African provinces that were selected based on the prevalence rates of diabetes and the number of patients with diabetes treated. The collected data were analyzed using smart partial least squares to validate the model and test the suggested hypotheses. Results Using variance-based structural equation modeling that leverages smart partial least squares, the analysis indicated that environmental factors significantly influence all the independent constructs that inform patients’ change of behavior toward the use of mHealth for self-monitoring of medication adherence. Technology characteristics such as effort expectancy, self-efficacy, and performance expectancy were equally significant; hence, their hypotheses were accepted. In contrast, the contributions of culture and social aspects were found to be insignificant, and their hypotheses were rejected. In addition, an analysis was conducted to determine the interaction effects of the moderating variables on the independent constructs. The results indicated that with the exception of cultural and social influences, there were significant interacting effects on other independent constructs influencing mHealth use for self-monitoring. Conclusions On the basis of the findings of this study, we conclude that behavioral changes are essential for the self-monitoring of chronic diseases. Therefore, it is important to enhance those effects that stimulate the behavior to change toward the use of mHealth for self-monitoring. Motivational aspects were also found to be highly significant as they triggered changes in behavior. The developed model can be used to extend the research on the self-monitoring of patients with chronic conditions. Moreover, the model will be used as a basic architecture for the implementation of fully fledged systems for self-monitoring of patients with diabetes.

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“…Las soluciones de salud asistida por el móvil (mHealth, en inglés) brindan un medio para entregar información que puede ayudar a quienes presentan una mayor necesidad de evaluación y autogestión de la salud. No obstante, es necesaria una participación significativa de los usuarios en el diseño de estas intervenciones, ya que pueden ser adecuadas para una población, pero no para otra (29).…”

Section: Fesp 10 Acceso Equitativo a Intervenciones Que Buscan Promov...unclassified

La transformación digital como estrategia para el fortalecimiento de las funciones esenciales de salud pública en las Américas

Farias,

Badino,

Marti

et al. 2023

Revista Panamericana De Salud Pública

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En el presente artículo se sistematizaron las principales acciones de transformación digital (TD) de los sistemas de salud que abordan a las funciones esenciales de la salud pública (FESP). Se realizó una revisión narrativa, donde se interrelacionó el marco conceptual de las funciones esenciales de la salud pública renovadas con los ocho principios rectores de la transformación digital del sector de la salud. En las publicaciones seleccionadas, se halló que las principales acciones de la TD comprenden la historia clínica electrónica, la telemedicina, la legislación en salud digital, la alfabetización digital, los portales del paciente, las tecnologías de código abierto y la gobernanza de datos. Estas acciones posibilitan aumentar la calidad y la eficiencia de los sistemas de salud, favorecer la accesibilidad y mejorar los resultados de salud.

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Perceptions on mobile health use for health education in an Indigenous population

Cited by 8 publications

References 53 publications

Health-Seeking Behavior and Its Associated Technology Use: Interview Study Among Community-Dwelling Older Adults

Health-Seeking Behavior and Its Associated Technology Use: Interview Study Among Community-Dwelling Older Adults

mHealth Self-Monitoring Model for Medicine Adherence of Patients With Diabetes in Resource-Limited Countries: Structural Equation Modeling Approach

La transformación digital como estrategia para el fortalecimiento de las funciones esenciales de salud pública en las Américas

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