Mobile IT in health – the case of short messaging service in an HIV awareness program

Bandyopadhyay, Tridib; Meso, Peter; Negash, Solomon

doi:10.1080/02681102.2017.1363029

Cited by 11 publications

(6 citation statements)

References 66 publications

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“…The items of perceived usefulness on the intention to use social media were borrowed from El-Wajeeh et al [ 75 ]. Items on customization were adapted from Bandyopadhyay et al [ 65 ]. The items on the perceived trust construct were adapted from El-Wajeeh et al [ 75 ], and items on technology characteristics were derived from Bandyopadhyay et al [ 65 ] and Zaini et al [ 76 ].…”

Section: Methodsmentioning

confidence: 99%

“…Items on customization were adapted from Bandyopadhyay et al [ 65 ]. The items on the perceived trust construct were adapted from El-Wajeeh et al [ 75 ], and items on technology characteristics were derived from Bandyopadhyay et al [ 65 ] and Zaini et al [ 76 ]. All questionnaire items were rated using a 5-point Likert scale, ranging from strongly disagree (1) to strongly agree (5), in which participants were required to choose the most suitable answer.…”

Section: Methodsmentioning

confidence: 99%

“…Hence, this research demonstrates that social media features are capable of boosting the adaptation of this technology in viewing health awareness messages. Earlier studies have investigated the relationship between TTF constructs and perceived usefulness of using SMS for health awareness purposes [ 65 ]. Therefore, H8 states that technology characteristics will positively impact perceived usefulness of social media to view health awareness messages.…”

Section: Introductionmentioning

confidence: 99%

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The Development of a Smart Health Awareness Message Framework Based on the Use of Social Media: Quantitative Study

2020

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Background Social media has recently provided a remarkable means of delivering health information broadly and in a cost-effective way. Despite its benefits, some difficulties are encountered in attempting to influence the public to change their behavior in response to social media health messages. Objective This study aimed to explore the factors that affect individuals’ acceptance of using social media as a tool for receiving health awareness messages and adapting such content accordingly by developing a smart health awareness message framework. Methods A quantitative method was adapted to validate the hypotheses and proposed framework through the development of a survey based on the technology acceptance model with the extension of other constructs. The survey was distributed on the web to 701 participants from different countries via Qualtrics software; it generated 391 completed questionnaires, and the response rate was 55.8% (391/701). Results Of the 391 respondents, 121 (30.9%) used social media platforms often during the week, and 27 participants (6.9%) did not use social media. In addition, 24.0% (94/391) of the respondents used these platforms to seek health information. On the basis of the results, perceived usefulness (β=.37; P<.001), gain-framed message (β=.04; P<.001), and loss-framed message (β=.08; P<.001) were seen to positively and significantly influence people’s intention to use social media as a means to spread information about health promotion. The proposed smart health awareness message framework identifies 64.2% of the variance in intention to use, 55.4% of the variance of perceived usefulness, and 26.2% of the variance of perceived ease of use. Conclusions This study sheds light on the factors that are associated with people’s intention to use and adopt social media in the health promotion domain. The findings reveal that the intention of using social media for health awareness purposes is positively impacted by the perception of usefulness of social media and the design of health messages. Future research might seek to explore other factors that relate to people’s behavior. This point of view will assist health organizations in developing their health messages more effectively and to be patient friendly.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Development of a Smart Health Awareness Message Framework Based on the Use of Social Media: Quantitative Study

2020

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“…The term "perceived enjoyment" is often used in the literature as a similar to HM (Venkatesh et al, 2012). HM has been considered a relevant factor in explaining technology acceptance and use of new technologies (El-Masri and Tarhini, 2017;Hew et al, 2015), especially in studies related to the m-health topic (Bandyopadhyay et al, 2018;Lee et al, 2017). From the definition of HM, H6 indicates that HM positively affects BI: H6.…”

Section: H5 Fc Positively Affects Use Behavior (Ub)mentioning

confidence: 99%

A meta-analysis of a comprehensive m-health technology acceptance

Calegari

R.D.

Fettermann

2023

IJLSS

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Purpose The evolution of e-health technologies presents promising alternatives for health-care excellence. Despite the benefits arising from mobile e-health (m-health) and wearables technologies, the literature stands many contradictories signs regarding how users accept and engage in using these technologies. This study aims to synthesize the estimations about m-health user acceptance technologies. Design/methodology/approach A meta-analytic structural equation modeling was carried out using the 778 relationships estimated by 100 previous research. The estimations follow the relations and constructs proposed in the UTAUT2 technological acceptance model. Findings The results indicate the performance expectancy, effort expectancy, social influence and habit constructs are most important for predicting the behavioral intention of use of m-health technologies. The Latin American users of e-health technologies are still underestimated in the literature. Originality/value The study presents a guide to understanding the acceptance process of m-health technologies and delivers a general orientation for developing new m-health devices considering their acceptance by users.

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“…The adoption of e-health and m-health services have been investigated using various theoretical approached including stimulus-organism-response theory [14], protection motivation theory [15], the theory of planned behavior, and value attitude behavioral model [16], trust transfer model [17], technology acceptance model [18][19][20][21][22][23][24][25][26], and the uni ed theory of acceptance and use of technology theory [27][28][29][30][31][32][33][34]. The uni ed theory of acceptance and use of technology (UTAUT) argues that the effort and performance expectancies with social in uences and facilitating conditions having a direct effect on the behavioral intention to use new technology.…”

Section: Theoretical Model and Hypothesis Developmentmentioning

confidence: 99%

M-health Services Equipped with Public-Sector Community Health Centers in China: Investigating Adoption using UTAUT and Channel Expansion Theory

Maz

Safdar

et al. 2020

Preprint

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Background: This study is to investigate the acceptance of a public-private joint venture, which is formed in-between public-sector community health centers (PCHC) and private-sector m-health service providers and can be a potential solution for two practical problems. The first problem is about PCHCs, which are operating about forty-one percent underutilization rates. The second problem is the lack of a revenue-generating business model for m-health service providers' while having a surprising number of registered users with daily health-care consultation queries. This joint venture will help to bridge the strengths of the public-sector health-care system (e.g., highly qualified doctors, offline health-care facilities) with the strengths of private-sector m-health service providers (e.g., a dramatic number of registered users, daily health-care consultation queries) resulting in a win-win situation for both parties. Methods: The data collected from doctors associated with a territory hospital in Hefei, China, and analyzed using partial least squares, a structural equation modeling technique. Results: This study extended the unified theory of acceptance and use of technology with the channel expansion theory. We explored that perceived media richness, government support, effort, and performance expectancies positively influence behavioral intention to deliver health-care consultation using m-health services that are equipped with PCHCs. Surprisingly, social influence and facilitating conditions found insignificant in the Chinese context. Conclusion: It can help the government healthcare authorities, and policymakers to build confidence in PCHCs, and to improve PCHC resource utilization. It can help m-health service providers to build confidence in m-health services resulting in a revenue-generating business model.

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Mobile IT in health – the case of short messaging service in an HIV awareness program

Cited by 11 publications

References 66 publications

The Development of a Smart Health Awareness Message Framework Based on the Use of Social Media: Quantitative Study

The Development of a Smart Health Awareness Message Framework Based on the Use of Social Media: Quantitative Study

A meta-analysis of a comprehensive m-health technology acceptance

M-health Services Equipped with Public-Sector Community Health Centers in China: Investigating Adoption using UTAUT and Channel Expansion Theory

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