A study on Singaporean women's acceptance of using mobile phones to seek health information

Effect of older adults willingness on telemedicine usage: an integrated approach based on technology acceptance and decomposed theory of planned behavior model

BACKGROUND

Telemedicine, as a novel method of health management system, has demonstrated to have a significant impact on health levels. However, a challenge persists in the form of low usage rates and acceptance among older adults in China. There are accumulating evidence that willingness will affect the telemedicine usage among older adults. This study investigates factors influencing older users' trust in adopting telemedicine technology, thereby promoting actual use.

METHODS

A questionnaire survey was conducted with 400 urban seniors aged 60 and above. Drawing from the Technology Acceptance Model (TAM) and the Decomposed Theory of Planned Behavior (DTPB), the author combines elements such as Perceived Usefulness, Perceived Ease of Use, Subjective Norms, Service Environment, Self-Efficacy, Behavioral Intention to Use, and Usage Behavior. The aim is to explore the interrelationships between these factors.

RESULTS

Perceived Usefulness (PU) and Service Environment (SE) significantly and positively impact Behavioral Intention (BI) to use telemedicine, with Trust (TR) identified as a crucial mediating variable. Enhancing trust can substantially increase older adults' intention to use telemedicine services. Furthermore, the study reveals a significant relationship between older adults' trust in telemedicine and factors such as Perceived Usefulness (PU), Service Environment (SE), Subjective Norms (SR), as well as Emotional Risk (ER) and Cost Risk (CR), the latter two tending to decrease Trust(TR).

CONCLUSIONS

This paper constructs and validates a combined model based on TAM and DTPB, comprehensively exploring the potential factors influencing the older adults' intention to use telemedicine. The findings suggest that telemedicine services for older adults should prioritize improving user perception and enhancing trust throughout the service process to effectively increase their willingness to use these services.

Associations between perceived usefulness and willingness to use smart healthcare devices among Chinese older adults: The multiple mediating effect of technology interactivity and technology anxiety

Objective

This study aims to explore the mediating roles of technological interactivity and technological anxiety in the relationship between perceived usefulness and the willingness to use a smart health device to provide insight into the decision-making process of older adults in relation to the adoption of smart devices.

Methods

A cross-sectional survey was conducted in Jiangsu, China involving 552 older adults. The study utilized structural equation modeling (SEM) to analyze the relationship between the independent variable 'perceived usefulness' and the dependent variable 'willingness to use.' It also examined the multiple mediating effects of technological interactivity and technological anxiety between the independent and dependent variables.

Results

The results indicate that the direct effect of perceived usefulness on willingness to use was insignificant. However, technological interactivity completely mediated the relationship between perceived usefulness and willingness to use. Additionally, technological interactivity and technological anxiety were found to have a serial mediating effect on the impact of perceived usefulness on willingness to use smart healthcare devices.

Conclusions

These findings suggest that increasing older adults' intention to use smart healthcare devices requires not only raising awareness of their usefulness, but also addressing technological anxiety and enhancing the interactivity of these devices to improve the overall user experience.

Intention to use a mobile phone to receive mental health support and its predicting factors among women attending antenatal care at public health facilities in Ambo town, West Shoa zone, Ethiopia 2022

BACKGROUND

Mental health problems are the most common morbidities of women during the prenatal period. In LMICs mobile phones have been identified as a good vehicle for monitoring individuals with a high risk of mental health conditions. However, evidence is scarce and the purpose of this study was to assess the intention to use a mobile phone to receive mental health support and its predicting factors among women attending antenatal care at public health facilities in Ambo town, Ethiopia 2022.

METHODS AND MATERIALS

An institutional-based cross-sectional study design was conducted from May 20th to June 20th, 2022. A total of 715 prenatal women were included and a systematic random sampling technique was employed. An interviewer-administered structured questionnaire was used. Collected data was exported to SPSS version 25 for the descriptive part, and AMOS 26 structural equation modeling was also used to describe and assess the degree and significance of relationships between variables.

RESULTS

A total of 699 (97.8% response rate) responded to complete all the questionnaires. About 530 (77.3%) 95% CI (74%-80.3%) of women intended to use a mobile phone to receive mental health support. The perceived usefulness has a positive effect on attitude (β = 0.391, p < 0.001) and intention to use (β = 0.253, p < 0.001). The perceived ease of use influences perceived usefulness (β = 0.253, p < 0.001) and attitude β = 0.579, p < 0.001). The intention to use is positively affected by attitude (β = 0.662, p < 0.001).Trust has a positive effect on perceived usefulness (β = 0.580, p < 0.001) and intention to use (β = 0.113, p = 0.005). Subjective norm has a direct positive effect on perceived usefulness (β = 0.248, p < 0.001). Attitude serves as a partial mediator between perceived usefulness and intention to use and a complete mediating role between perceived ease of use and intention to use.

CONCLUSION

The level of intention to use a mobile phone among prenatal women is relatively high and attitude, perceived usefulness, and trust had direct positive effects on intention to use a mobile phone. Therefore, hospitals and healthcare providers should take proactive measures to implement the strategies and policies for providing mobile phone-based mental health support to prenatal women in remote areas.

M-health Apps and Physical and Mental Health Outcomes of Sexual Minorities

Given the assigned health inequalities faced by sexual minorities, it is fitting to assess whether m-health could be associated with better health-related outcomes for these sexual minorities. The present study examines associations between m-physical and m-mental health apps and sexual minorities' physical and mental health status in Greece. The study utilized three waves of panel data collected in 2018, 2019, and 2020. The findings indicated associations between the use of m-physical and m-mental health apps and increased physical and mental health status for sexual minorities. The work concludes that m-health could enhance informational capabilities associated with increased levels of physical and mental health for sexual minorities. Indeed, the study found that, during the COVID-19 pandemic, sexual minorities experienced physical and mental health deteriorations. Interestingly, the estimates indicated that the association between the use of m-physical and m-mental health apps and increased mental health status for sexual minorities was stronger during the COVID-19 pandemic than before. The study suggests that tracking health-related information through m-health apps during periods of increased uncertainty could be associated with better health prevention and management. If m-health apps can alleviate adverse physical and mental health symptoms for sexual minorities, their potential should be considered.

A Mobile Health Information Behavior Model: Theoretical Development and Mixed-Method Testing in the Context of Mobile Apps on Child Poisoning Prevention

While several studies have explored the use of mobile health applications, few have observed determinants of mobile health information behavior. To develop a model explaining parents' mobile information behavior on child poisoning prevention, we first explored relevant theories to suggest a theoretical model. In that, we combine existing models on risk and health information seeking, such as the Planned Risk Information Seeking Model, with models on the acceptance of mobile technologies, such as the Unified Theory of Acceptance and Use of Technologies. Thereafter, we employed a sequential mixed-method design with an initial qualitative study (four online focus groups with n = 25 parents in total) and a standardized online survey of n = 1,013 parents to evaluate our research model. Results confirm that both, determinants of information seeking and determinants of technology acceptance, contribute to the explanation of mobile information behavior. App use intention was mainly related to the performance expectancy of app use, the subjective information norm, and social influence on app use. To increase the usage of prevention apps and contribute to the reduction of child injuries, communication on poisoning apps should address subdimensions of the performance expectancy, such as their utility and peoples' trust in app providers. Moreover, physicians are important multipliers for these messages.

Getting Connected to M-Health Technologies through a Meta-Analysis

The demand for mobile e-health technologies (m-health) continues with constant growth, stimulating the technological advancement of such devices. However, the customer needs to perceive the utility of these devices to incorporate them into their daily lives. Hence, this study aims to identify users' perceptions regarding the acceptance of m-health technologies based on a synthesis of meta-analysis studies on the subject in the literature. Using the relations and constructs proposed in the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) technology acceptance model, the methodological approach utilized a meta-analysis to raise the effect of the main factors on the Behavioral Intention to Use m-health technologies. Furthermore, the model proposed also estimated the moderation effect of gender, age, and timeline variables on the UTAUT2 relations. In total, the meta-analysis utilized 84 different articles, which presented 376 estimations based on a sample of 31,609 respondents. The results indicate an overall compilation of the relations, as well as the primary factors and moderating variables that determine users' acceptance of the studied m-health systems.

A meta-analysis of social commerce adoption and the moderating effect of culture

Purpose

As a derivative model of e-commerce, social commerce has received increasing attention in recent years. Empirical studies on social commerce have examined the key factors that influence users' attitudes or adoption intentions, but their conclusions are context-based and are not entirely consistent. This study aims to draw a general conclusion by systematically synthesizing the findings of previous studies and examine whether cultural differences play a moderating role in users' social commerce adoption.

Design/methodology/approach

A meta-analysis based on 11,786 independent samples from 39 empirical studies was conducted to integrate their results and develop a comprehensive conceptual model. A moderator analysis was carried out to investigate the moderating effect of culture by dividing the context into subgroups of individualistic and collectivistic cultures.

Findings

The results show that this comprehensive conceptual model can help better understand the adoption of social commerce. Meanwhile, the moderator analysis indicates that cultural differences have a significant moderating effect on the relationship between the determinants and the adoption of social commerce.

Originality/value

The findings of this paper have theoretical implications and make managerial contributions.

Understanding the determinants of adoption of mHealth services among older women’s perspective in Bangladesh

Purpose

The purpose of this study was to explore the factors affecting adoption of mHealth services among the older women in Bangladesh. As this portion of the total population is rapidly increasing in Dhaka City.

Design/methodology/approach

Using the technology acceptance model as a theoretical framework, this study introduces perceived reliability, price value and technology anxiety as new factor reflecting the user’s reliability, beliefs and monetary concerns in the acceptance of mHealth services. A structured survey was conducted to collect the required data from convenience sampling of 271 mHealth end users from Dhaka city in Bangladesh.

Findings

The study confirmed that perceived usefulness, perceived reliability; price value and technology anxiety had a significant impact on mHealth adoption. Ease of use did not influence on the adoption of mHealth services.

Originality/value

To the best of the authors’ knowledge, this study is one of the first to investigate the determinant of mHealth adoption among older Women. Moreover, the insights from this study could benefit mHealth services providers and policymakers in implementing more effective marketing strategies to increase the acceptability of mHealth services.

e-Health Literacy Skills in People with Chronic Diseases and What Do the Measurements Tell Us: A Scoping Review

Background: Use of electronic health (e-Health) technologies has increased in the past decade and inadequate e-Health literacy may lead to health-related social inequality. This is especially true for patients living with chronic diseases who are often involved in self-care. However, the measurement of e-Health literacy represents several challenges. Among available instruments, the e-Health Literacy Scale (eHEALS) is the only instrument with available psychometric properties. Aim: To identify studies measuring e-Health literacy in adults living with chronic disease and its relationship to health-related behaviors and other perceptions such as quality of life, self-efficacy, or specific disease biomarkers, and studies analyzing the impact of educational intervention on e-Health literacy. Methods: The authors searched MEDLINE, the Cochrane Library, and Web of Science databases to identify studies published in English language until April 2022. Results: Seventeen studies involving 4,877 participants were included. A majority of the studies were cross-sectional with a lack of appropriate controls. Five of the included studies were experimental, involving 758 participants. All of them reported positive effects of educational interventions on the improvements in self-reported e-Health literacy skills. However, most studies were at risk of bias. Conclusion: Despite these limitations, the findings of this review indicate the positive relationship between e-Health literacy and various health care processes in adults with chronic diseases and highlights a need for prospective controlled studies. Promoting e-Health literacy might give better opportunities for the active involvement of people with chronic diseases in self-care and for the implementation of online interventions into existing system of care.

Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach

Recent years have witnessed an increased demand for mobile health (mHealth) platforms owing to the COVID-19 pandemic and preference for doorstep delivery. However, factors impacting user experiences and satisfaction levels across these platforms, using customer reviews, are still largely unexplored in academic research. The empirical framework we proposed in this paper addressed this research gap by analysing unmonitored user comments for some popular mHealth platforms. Using topic-modelling techniques, we identified the impacting factors (predictors) and categorised them into two major dimensions based on strategic adoption and motivational association. Findings from our study suggest that time and money, convenience, responsiveness, and availability emerge as significant predictors for delivering a positive user experience on m-health platforms. Next, we identified substantial moderating effects of review polarity on the predictors related to brand association and hedonic motivation, such as online booking and video consultation. Further, we also identified the top predictors for successful user experience across these platforms. Recommendations from our study will benefit business managers by offering an improved service design leading to higher user satisfaction across these m-health platforms.

Perceptions of the use of mobile phones to access reproductive health care services in Tamale, Ghana

Introduction

Africa has one of the world's highest populations of young people. In addition, Africa has one of the highest proportions of young people facing the worst health challenges. Although previous scholars have reported that young people were using mobile phones to fill in the gaps in accessing reproductive health services, among other health services, there was little comprehensive research on the perception of young people in Tamale, Ghana, on the use of mobile phones to access reproductive health services. This study analyzed the perceptions on mobile phone use to access reproductive health services among young people in Tamale, Ghana.

Methods

The research used a quantitative method design from a target population of 72,706 young people from selected peri-urban, low-income, middle income and high-income residential areas in Tamale Metropolis, Ghana. The sample size used was 397 young people. Participants were selected using a stratified multistage sampling strategy. Descriptive statistics were used to analyse the data.

Results

A total of 86% of the respondents agree that the use of mobile phones helps to overcome cultural challenges that young people in Tamale encounter in accessing reproductive health care. Also, 84.6% of the respondents agree that the use of mobile phones helps them to overcome inadequate access to reproductive health information and services. The use of mobile phones helps to overcome the negative attitude of health providers toward young people in need of reproductive health services was agreed by most of the respondents [strongly agree (35.4%) and agree (49.4%)].

Conclusion

This study informed highly positive perceptions and attitudes toward the use of mobile phones to access Reproductive Health Services in Tamale, Ghana. There is, therefore the need for the health sector to reform its mode of prescriptions of medication, consultation, and service delivery to leverage on the advantages that mHealth presents.

Using Extended Technology Acceptance Model to Assess the Adopt Intention of a Proposed IoT-Based Health Management Tool

Advancements in IoT technology contribute to the digital progress of health science. This paper proposes a cloud-centric IoT-based health management framework and develops a system prototype that integrates sensors and digital technology. The IoT-based health management tool can collect real-time health data and transmit it to the cloud, thus transforming the signals of various sensors into shared content that users can understand. This study explores whether individuals in need tend to use the proposed IoT-based technology for health management, which may lead to the new development of digital healthcare in the direction of sensors. The novelty of this research lies in extending the research perspective of sensors from the technical level to the user level and explores how individuals understand and adopt sensors based on innovatively applying the IoT to health management systems. By organically combining TAM with MOA theory, we propose a comprehensive model to explain why individuals develop perceptions of usefulness, ease of use, and risk regarding systems based on factors related to motivation, opportunity, and ability. Structural equation modeling was used to analyze the online survey data collected from respondents. The results showed that perceived usefulness and ease of use positively impacted adoption intention, Perceived ease of use positively affected perceived usefulness. Perceived risk had a negative impact on adoption intention. Readiness was only positively related to perceived usefulness, while external benefits were positively related to perceived ease of use and negatively related to perceived risk. Facilitative conditions were positively correlated with perceived ease of use and negatively correlated with perceived risk. Technical efficacy was positively related to perceived ease of use and perceived usefulness. Overall, the research model revealed the cognitive mechanism that affects the intention of individuals to use the system combining sensors and the IoT and guides the digital transformation of health science.

Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns

Mobile health (mHealth) services have been widely used in medical services and health management through mobile devices and multiple channels, such as smartphones, wearable equipment, healthcare applications (Apps), and medical platforms. However, the number of the users who are currently receiving the mHealth services is small. In China, more than 70% of internet users have never used mHealth services. Such imbalanced situation could be attributed to users’ traditional concept of medical treatment, psychological factors (such as low self-efficacy) and privacy concerns. The purpose of this study is to explore the direct and indirect effects of mHealth users’ self-efficacy and privacy concerns on their intention to adopt mHealth services, providing guidelines for mHealth service providers to enhance users’ intention of adoption. A questionnaire was designed by the research team and 386 valid responses were collected from domestic participants in China. Based on the unified theory of acceptance and use of technology (UTAUT) model, a research model integrated self-efficacy and privacy concerns was constructed to investigate their effects on users’ intention to adopt mobile mHealth services. The results show that self-efficacy could facilitate users’ intention to adopt mHealth services, and had a significantly positive effect on perceived ubiquity, effort expectancy, performance expectancy and subjective norm. This study verifies the direct and indirect effects of self-efficacy and privacy concerns on users’ intention to adopt mHealth services, providing a different perspective for studying mHealth adoption behavior. The findings could provide guidelines for mHealth service providers to improve their service quality and enhance users’ intention of adoption.

Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services

Mobile health (m-health) application development and diffusion in developing countries have always been a challenge; therefore, research that seeks to provide an elucidation of the drivers of m-Health adoption is vital. Mobile health information systems and applications can contribute to the delivery of a good healthcare system. This study examined the factors influencing citizens' adoption of mobile health services. The Technology Acceptance Model (TAM) was used as the research underpinning for this study, while the data gathered were analyzed with SmartPLS through the use of the structural equation modeling technique. The results showed that perceived usefulness and ease of use were both significant predictors of the behavioral intention to use and recommend the adoption of mobile health services. Also, perceived risk was negative but significant in predicting the intention to use and recommend adoption. Mobile self-efficacy was found to significantly determine the behavioral intention to use, intention to recommend, perceived usefulness, and perceived ease of use of mobile health services. Besides, word-of-mouth showed a positive impact on both the intention to use and recommend. Contrary to expectations, the intention to use had no significant impact on the recommendation intention. The theoretical and practical implications of these findings are thoroughly examined.

Online health information-seeking behaviour: an empirical study of managerial-level employees in Sri Lanka

Purpose

Over the past few years, the internet has expanded rapidly, and it has been considered a systematic way that consumers use to retrieve health-related information. However, the existing literature does not provide an articulated view of online health information-seeking behaviour through an in-depth understanding of users’ searching-related behaviour. The objectives of this study are to identify the factors affecting consumers’ health-related internet use and recognise the relationships between those specified and health-related internet use. Finally, the recommendations are made based on the findings.

Design/methodology/approach

An amalgamated model of technology acceptance model and health belief model was used to hypothesise health-related internet use behaviour, which is then tested using a cross-sectional survey of 287 Sri Lankan managerial-level employees. The covariance-based structural equation modelling with AMOS was used to check the study hypotheses.

Findings

Findings of this study depict five factors contributing to consumers’ health-related internet use as follows: perceived health risk towards chronic diseases consisting of perceived susceptibility and perceived severity; health consciousness; perceived usefulness of the internet; perceived ease of internet use; and attitude towards health-related internet use. As theorised, the internet’s perceived usefulness was positively and significantly related to consumers’ use of health-related internet and attitude towards health-related internet use. But as hypothesised, perceived ease of internet use did not directly affect consumers’ use of health-related internet. Further, findings reveal that health-related internet use is estimated by perceived health risk than health consciousness.

Originality/value

Findings reveal that Sri Lankan managerial-level employees have a reactive health behaviour driven by the perceived health risk and the desire to seek online health information.

Cashless preferences during the COVID-19 pandemic: investigating user intentions to continue UPI-based payment systems in India

Purpose

This study aims to examine the factors influencing user satisfaction with unified payment interface (UPI)-based payment systems during the COVID-19 pandemic in India. The study also aimed to examine whether the user satisfaction with UPI-based payment systems during the COVID-19 pandemic will transform into their continuance intention post-COVID-19 pandemic.

Design/methodology/approach

The study was performed in three phases, i.e. pre-testing (for developing questionnaire), pilot study (using exploratory factor analysis to ensure unidimensionality) and the main study. The main study was based on the feedback from a sample of 369 internet users who first used the UPI-based payment system during the COVID-19 pandemic. Data generated were analysed using the structural equation modelling approach.

Findings

The study findings suggest that the users who are satisfied with UPI-based transactions during the COVID-19 pandemic are likely to continue their use of this payment mode in future. Factors such as post-adoption perceived value, perceived usefulness and post-adoption perceived risk were observed to be key constructs in explaining user satisfaction and continued intention for UPI-based payment systems.

Originality/value

The study is one of the pioneering studies, in the sense that it investigated the continuance intention of UPI-based payment systems, which, surprisingly, did not gain much attention from past researchers.

Exploring the relationship between information and communication technology collective behaviors and sense of community: an urban refugee analysis

Purpose

Helping others use information and communication technologies (ICTs), such as mobile phones, can be beneficial for individuals and communities. In urban refugee communities, displaced and living far from home, collective behaviors with mobile phones can generate a sense of belonging. The purpose of this paper is to explore the potential for these offline behaviors to generate a sense of community among urban refugees.

Design/methodology/approach

Using quantitative evidence, the authors examined the relationship between collective behaviors, such as sharing or helping with a mobile phone, and sense of community. The authors analyzed survey data collected from urban refugees in Rwanda via multiple regression to test hypotheses related to the impact of collective behaviors on sense of community, as well as the mediating role of ICT self-efficacy and gender.

Findings

The findings suggest that collective behaviors with mobile phones have a positive relationship with sense of community, driven primarily by providing assistance as compared to sharing. ICT self-efficacy was positively related to sense of community. However, collective behaviors' impacts differed by gender, suggesting that social dynamics influence this relationship.

Originality/value

While the extant literature highlights the various roles of mobile phones in refugees' lives, less is known about the social aspects of use and its potential to help overcome isolation by fostering a sense of community. The authors extend this literature to a novel context (urban refugees in the Global South), testing a model that incorporates other factors that may play a role (e.g. self-efficacy and gender). These findings are valuable to urban refugees, due to difficulties in re-building a sense of community and increased ICT access.

Research Progress and Model Construction for Online Health Information Seeking Behavior

Under the background of coronavirus disease 2019 (COVID-19), online health information seeking has become one of the most important information needs of the public and even the only channel for health information seeking in this special period. A review of the research on online health information-seeking behavior will help give full play to the previous academic research, further emphasize the necessity of online health information-seeking research, and promote the development of research in this field. This study firstly presents the research overview of online health information-seeking behavior by using the informetric method. Secondly, an overview is carried out from the perspective of online health information platforms, groups, quality, satisfaction, etc., to explore the influencing factors and their relationships in the process of online health information seeking. On this basis, the existing behavioral models are integrated and sorted out to build a new behavioral theoretical model in line with the current online health information seeking.

What Factors Affect a User’s Intention to Use Fitness Applications? The Moderating Effect of Health Status: A Cross-Sectional Study

Objective

Fitness applications are becoming a tool for users who want to exercise and diet. This study examines what factors affect users’ intention to use fitness applications and how they depend on users’ health status.

Methods

An online survey was conducted on 428 potential fitness application users from South Korea. For this study, the extended unified theory of acceptance and use of technology (UTAUT2) was applied, and structural equation models were used for the data analysis.

Results

The results showed that for potential fitness application users, performance expectancy, effort expectancy, hedonic motivation, and perceived privacy protection were significant variables; however, social influence was insignificant. Factors influencing users’ intention to use fitness applications will vary depending on health status.

Conclusion

This study provides the following implications for health researchers, fitness application designers, and marketers. When trying to use fitness application, values such as performance expectancy, effort expectancy, hedonic motivation, and perceived privacy protection should be emphasized. In particular, for users with chronic diseases, the performance expectancy of fitness apps is more critical than any other factor.

Indonesian hospital telemedicine acceptance model: the influence of user behavior and technological dimensions

Since the COVID-19 pandemic hit, several hospitals in Indonesia have started to develop teleconsultation services to expand the reach of health services and prevent the spread of the COVID-19 virus. Therefore, this study was conducted with the aim of analyzing the influence of user and technological dimensions on the acceptance of the use of hospital teleconsultation applications by users. The research was conducted using quantitative methods with data from questionnaires distributed online. The respondent criteria for this study were Indonesians aged 17 years and over who knew about or had used a hospital's teleconsultation application, and this resulted in 534 respondents. Data processing was carried out using the covariance-based structural equation modeling method with the AMOS 24 application. The user behavior and technology dimensions are influence intention to use telemedicine applications. Furthermore, the results showed that contamination avoidance, safety, reliability, professionalism, perceived ease of use, perceived usefulness, and information quality have a significant positive influence on the behavioral intention to use hospital telemedicine applications. Meanwhile, facilitating conditions and social influence were not shown to have a significant positive effect on the behavioral intention to use such applications. Finally, behavioral intention to use significantly and positively influences actual use. This research can help hospitals and the government in providing guidance in terms of developing telemedicine applications.

Technology Acceptance in Healthcare: A Systematic Review

Understanding the factors affecting the use of healthcare technologies is a crucial topic that has been extensively studied, specifically during the last decade. These factors were studied using different technology acceptance models and theories. However, a systematic review that offers extensive understanding into what affects healthcare technologies and services and covers distinctive trends in large-scale research remains lacking. Therefore, this review aims to systematically review the articles published on technology acceptance in healthcare. From a yield of 1768 studies collected, 142 empirical studies have met the eligibility criteria and were extensively analyzed. The key findings confirmed that TAM and UTAUT are the most prevailing models in explaining what affects the acceptance of various healthcare technologies through different user groups, settings, and countries. Apart from the core constructs of TAM and UTAUT, the results showed that anxiety, computer self-efficacy, innovativeness, and trust are the most influential factors affecting various healthcare technologies. The results also revealed that Taiwan and the USA are leading the research of technology acceptance in healthcare, with a remarkable increase in studies focusing on telemedicine and electronic medical records solutions. This review is believed to enhance our understanding through a number of theoretical contributions and practical implications by unveiling the full potential of technology acceptance in healthcare and opening the door for further research opportunities.

Predictors of the Acceptance of an eCoach targeting Self-management of Type 2 Diabetes Patients: A Web-Based Survey (Preprint)

Background

Type 2 diabetes (T2D) is a lifestyle-related disease whose prevalence increases with age. Diabetes self-management through mobile health (mHealth) apps enables patients with T2D to improve their health. According to the Technology Acceptance Model (TAM), technology acceptance (ie, intended use) is necessary to ensure mHealth can be implemented successfully. Therefore, the specific acceptance requirements of patients with T2D should be considered.

Objective

This cross-sectional study aims to examine the extent to which different TAM predictors are associated with the acceptance of a diabetes app including an electronic coach (eCoach; Iris app) among patients with T2D.

Methods

Using a web-based survey, data on 92 patients with T2D (mean age 62.76 years, SD 8.29 years) were collected. Acceptance of the Iris app with the TAM predictors (ie, perceived usefulness, perceived ease of use, social influence, perceived self-efficacy, perceived security, prior usage experience, perceived health, and propensity of data/information sharing) was assessed. Further, control variables (ie, gender, age, education, ethnicity, household, BMI, amount of years with diabetes, diabetes-related complaints, and medication use) were assessed.

Results

Multiple linear regression analyses showed that acceptance of the Iris app was positively associated with perceived usefulness (β=.57, P<.001), social influence (subjective norm; β=.20, P=.004), and willingness to share data (β=.25, P<.001). In addition, acceptance regarding the Iris app was higher among patients with T2D with overweight (β=.23, P=.01) or obese BMI (β=.21, P=.01). The model explained 75.8% of the variance in the acceptance of the Iris app by patients with T2D. In addition, perceived usefulness of the Iris app was positively related to perceived ease of use (β=.32, P<.001), subjective norm (β=.26, P=.004), perceived control (β=.19, P=.03), willingness to share data (β=.20, P=.01) regarding the Iris app, and perceived security regarding general use of apps/smartphone/internet (β=.15, P=.04). The model explained 58.2% of the variance in patients’ perceived usefulness about the Iris app.

Conclusions

Among patients with T2D, the belief that the use of the Iris app is helpful/beneficial, the willingness to share their Iris app data, and others’ approval of using this app can stimulate the acceptance of this app. In addition, the belief that the use of (health) apps is reliable and secure, the belief that the use of the Iris app is easy to use, a higher perceived capability and personal control with using this app, the willingness to share their Iris app data, and others’ approval of using this app can stimulate the perceived usefulness of such an app. These TAM predictors explained a high variance in acceptance and perceived usefulness of the Iris app. Implications for practice are addressed.

Investigating the effective factors of using mHealth apps for monitoring COVID-19 symptoms and contact tracing: A survey among Iranian citizens

BACKGROUND AND OBJECTIVES

The use of mHealth applications depends on cognitive and social factors of individuals in different nations. This study aimed to identify the factors influencing the use of mHealth applications for both "contact-tracing" and "symptom-monitoring" of COVID-19 among Iranian citizens.

METHODS

A cross-sectional study with an online survey was conducted among Iranian citizens. Correlation calculation and multiple linear regression analysis were performed on the studied variables to find the effective factors.

RESULTS

A total of 1031 Iranian citizens over the age of 18 participated in this survey. A large percentage of the participants wanted to use the mHealth app to trace contacts of COVID-19 (74.5%) and the mHealth app to identify and monitor COVID-19 symptoms (74.0%). Gender, age, level of education, attitude towards technology, and fear of COVID-19 were among the factors that influenced the intention to use these two apps. The top reasons for using these apps were: "to keep myself and my family safe", "to control the spread of the coronavirus in general", and "to cooperate with healthcare professionals". The reasons given for not using these two apps were related to the issues of "security and privacy" and "doubt in efficiency and usefulness" of them.

CONCLUSIONS

The study showed that many participants in this survey were interested in using the COVID-19 apps. Policies, regulations and procedures are needed to protect the privacy of individuals by ensuring data governance. Further investigation with a larger sample is suggested to generalize these results.

What drives older adults' use of mobile registration apps in Taiwan? An investigation using the extended UTAUT model

This study aimed to provide an integrated model that examines the determinants of older adults' intention to use mobile registration applications (apps) based on UTAUT, and the role of aging factors including perceived physical condition, technology anxiety, inertia, and self-actualization needs. The proposed model was tested by PLS (Partial Least Squares) with data collected from 361 older adults. Results indicated that three variables derived from UTAUT, namely performance expectancy, social influence, and facilitating conditions, influence mobile registration app usage intention. Additionally, the aging factors of inertia and self-actualization needs have significant impacts on older adults' usage intentions. Results further demonstrated that smart phone usage experience had a moderator effect on the relationship between usage intention and three antecedents (performance expectancy, effort expectancy, facilitating condition), but not social influence. Findings provide valuable theoretical contributions for researchers, and practical implications for hospitals developing mobile registration apps in Taiwan.

Online Health Information Seeking: A Review and Meta-Analysis

Online health information, as an emerging field in health communication research, has attracted close attention from researchers. To identify major determinants of why individuals seek health information online, we conducted a meta-analysis that systematically accumulates the existing research findings. To that end, by integrating three theories or models for examining information-seeking behavior, we developed a theoretical framework for the current meta-analysis that emphasizing psychosocial, instrumental, contextual, and demographic factors. By analyzing the effect sizes from 44 articles representing 54 empirical samples, we found that the quality, trustworthiness, and utility of online health information were the dominant predictors of seeking it and that instrumental factors were more important than psychological ones in determining whether individuals did so. Moreover, the development of information and communication technology, the sampling method, and the type of information sought significantly moderated pairwise relationships between determinants and seeking behavior, whereas culture did not. Herein, we discuss the theoretical implications of our findings as well as directions for future research.

Proposing a mobile apps acceptance model for users in the health area: A systematic literature review and meta-analysis

Due to rapid advancements in the field of information and communication technologies, mobile health (mHealth) has become a significant topic in the delivery of healthcare. Despite the perceived advantages and the large number of mHealth initiatives, the success of mHealth ultimately relies on whether these initiatives are used; their benefits will be diminished should people not use them. Previous literature has found that the adoption of mHealth by users is not yet widespread, and little research has been conducted on this problem. Therefore, this study identifies the antecedents of the intention to use mHealth and proposes a general model that might prove beneficial in explaining the acceptance of mHealth. The authors performed a quantitative meta-analysis of 49 journal papers published over the past 10 years and systematically reviewed the evidence regarding the most commonly identified factors that may affect the acceptance of mHealth. The findings indicate that the proposed model includes the seven most commonly used relationships in the selected articles. More specifically, the model assumes that perceived usefulness positively affects perceived ease of use and user behavioral intention to use mHealth is commonly influenced by five factors: perceived usefulness, perceived ease of use, attitude toward behavior, subjective norms, and facilitating conditions. The results of this work provide important insights into the predictors of mHealth acceptance for future researchers and practitioners.

Exploring the factors in information seeking behavior: a perspective from multinational COPD online forums

This research establishes a theoretical framework for evaluating antecedents of the information seeking behaviors of online forum participants with chronic obstructive pulmonary disease (COPD). We evaluated the proposed framework using partial least squares structural equation modeling (PLS-SEM) after gathering data using a cross-sectional survey. We subsequently assessed the framework using importance-performance map analysis (IPMA). Findings suggest that perceived ease of use does not singularly influence COPD forum users' information seeking behavior. IPMA analysis reveals that the opportunity to interact with other forum members creates the greatest impact on COPD forum users' mindsets, among all the indicators. For healthcare professionals, the results of this study provide a blueprint in terms of utilizing COPD online forums to foster recurrent associations among forum administrators and users and by creating a strong social and informational resource for COPD information seekers.

Interpersonal influences on self-management in the eHealth era: Predicting the uses of eHealth tools for self-care in America

Drawing on the social cognitive theory and the comprehensive model of information seeking, this study proposes a theoretical framework that systematically examines the role of interpersonal factors in individuals' self-management in the eHealth context. The framework was tested with a sample of 965 eHealth users drawn from the National Cancer Institute's 2018 Health Information National Trends Survey. Structural equation modelling was performed to model the relationships among patient-centred communication, social support, self-efficacy, perceptions of eHealth tools and eHealth behaviours. The results established social support and patient-centred communication as two important sources of self-efficacy. Self-efficacy together with characteristics of eHealth tools were associated with higher utility of eHealth tools, which further predicted higher levels of eHealth behaviours. The results show that incorporating interpersonal factors in health interventions may enhance the targets' self-efficacy in self-management and indirectly motivates eHealth behaviours.

Information Seeking on Covid-19 Pandemic: Care Providers' Experience at the University of Gondar Teaching Hospital, Northwest of Ethiopia

Background

During the pandemic, information is inevitable and important, and having knowledge on pertinent information is very crucial for health-care professionals in order to deliver sustainable and quality health services to their clients, and to combat the virus. Therefore, the aim of this study was to assess the health-care providers' information seeking behavior on COVID-19 pandemic.

Methods

A descriptive cross-sectional study had conducted among 291 respondents. The participant’s characteristics were presented using frequency and percentage. The association between the independent and dependent variables was explained using chi-squared test.

Results

Out of the 291 respondents, 207 (71.1%) of them had sought information on COVID-19 pandemic. The association between the gender and educational status with the outcome variable was found insignificant. Age (χ²=10.6, P=0.011), respondent’s working unit (χ²=33.7, P<0.001), profession (χ²=12.7, P=0.013), taking computer training (χ²=17.44, P=0.000), computer access at work place (χ²=7.28, P=0.007), internet access at work place (χ²=22.2, P<0.001), and frequency of internet use (χ²=17.63, P<0.001) were found significant with COVID-19 information seeking.

Conclusion

Information seeking behavior was positively associated with computer access, computer training, internet access and frequency of use. Therefore, comprehensive package is required to build the capacity of care providers on computer-related skills. Besides, institutions need to have internet and computer access.

Understanding the Attitudes of Clinicians and Patients Toward a Self-Management eHealth Tool for Atrial Fibrillation: Qualitative Study

Background

Atrial fibrillation (AF) is the most common heart rhythm disorder and poses a growing disease burden worldwide because of an aging population. A multidisciplinary approach with an emphasis on patient education and self-management has been demonstrated to improve outcomes for AF through the engagement of patients in their own care. Although electronic tools (e-tools) such as apps have been proposed to provide patient education and facilitate self-management, there have been few studies to guide the development of these tools for patients with AF.

Objective

This study aims to explore the perceptions of patients and health care providers (HCPs) and their attitudes toward the use of e-tools for the self-management of AF. It also seeks to elicit the factors that contribute to these attitudes.

Methods

Semistructured qualitative interviews with HCPs and patients were conducted to understand the interpretations and expectations of an e-tool that would be used for the self-management of AF. Interview data were analyzed using an exploratory thematic analysis approach to uncover emergent themes and infer ideas of preferred features in a device. A modified technology acceptance model was developed as a framework to help interpret these findings. Data from the HCPs and patients were compared and contrasted.

Results

Both patients and HCPs thought that an e-tool would be useful in the self-management of AF. Although both groups favored educational content and monitoring of blood pressure, patients expressed more passivity toward self-care and an ambivalence toward the use of technology to monitor their medical condition. This appears to be related to factors such as a patient’s age, social support, and their attitudes toward technology. Instead, they favored using the app to contact their HCPs.

Conclusions

This study provides insights into significant differences in the attitudes of patients and HCPs toward the use of e-tools for self-care against their priorities. Understanding patients’ motivations and their needs are key to ensuring higher acceptance of such tools.

Perceptions and Attitudes Toward Mobile Health in Development of an Exclusive Breastfeeding Tool: Focus Group Study With Caregivers and Health Promoters in the Dominican Republic

BACKGROUND

Despite growing interest in the use of technology to improve health outcomes in low- and middle-income countries (LMICs), local attitudes toward mobile health (mHealth) use in these settings are minimally understood. This is especially true in the Dominican Republic, where mHealth interventions are starting to emerge. This information is critical for developing effective mHealth interventions to address public health issues, such as low exclusive breastfeeding (EBF) rates, which can lead to poor outcomes. With an EBF rate of 5% in the first 6 months of life, the Dominican Republic has one of the lowest EBF rates worldwide.

OBJECTIVE

This study aims to describe the current use of information and communication technology (ICT) and to analyze the attitudes and perceptions related to using mHealth interventions among caregivers of children aged ≤5 years and health promoters in the Dominican Republic. Findings can inform mHealth strategies aimed at improving EBF in this, and other, LMICs.

METHODS

Participants were recruited from 3 outpatient sites: the Niños Primeros en Salud program at Centro de Salud Divina Providencia in Consuelo (rural setting) and Clínica de Familia La Romana and its program Módulo de Adolescentes Materno Infantil in La Romana (urban setting). Focus groups were conducted with caregivers and community health promoters to identify the use, attitudes, perceptions, and acceptability of mHealth as well as barriers to EBF. Discussions were conducted in Spanish, guided by semistructured interview guides. All sessions were audio-recorded and later transcribed. Thematic content analysis was conducted in Spanish by two bilingual researchers and was structured around a hybrid behavioral theory framework to identify salient themes.

RESULTS

All participants (N=35) reported having a mobile phone, and 29 (83%) participants had a smartphone. Sources for obtaining health information included the internet, physicians and clinic, family and friends, health promoters, and television. Barriers to mHealth use included the cost of internet service, privacy concerns, and perceived credibility of information sources. Participants indicated the desire for, and willingness to use, an mHealth intervention to support breastfeeding. The desired features of a possible mHealth intervention included offering diverse methods of information delivery such as images and video content, text messages, and person-to-person interaction as well as notifications for appointments, vaccines, and feeding schedules. Other important considerations were internet-free access and content that included maternal and child health self-management topics beyond breastfeeding.

CONCLUSIONS

There is a high level of acceptance of ICT tools for breastfeeding promotion among caregivers in urban and rural areas of the Dominican Republic. As mHealth tools can contribute to increased breastfeeding self-efficacy, identifying desirable features of such a tool is necessary to create an effective intervention. Participants wanted to receive trusted and reliable information through various formats and were interested in information beyond breastfeeding.

Beliefs and Information Seeking in Patients With Cancer in Southwest China: Survey Study

Background

Although previous studies have reported the cancer information-seeking behaviors among patients in high-income countries, the cancer information-seeking practices of patients living in low- and middle-income areas are less known.

Objective

This study investigated the beliefs and information-seeking patterns of cancer patients in southwest China.

Methods

A questionnaire was designed, and data were collected in two hospitals (N=285) in southwest China. Statistical analyses included bivariate analyses and regressions.

Results

Patients’ attitudes towards cancer fatalism were significantly influenced by marital status (P<.001), education (P<.001), and household income (P<.001). Moreover, endorsing fatalistic belief was positively associated with age (r=0.35, P<.001). The regression model showed that younger patients (odds ratio [OR] 0.96, 95% CI 0.93-0.99) and those with higher education (OR 1.75, 95% CI 1.09-2.81) were more likely to seek information. Additionally, patients who were less confident in getting information were more likely to find information (OR 1.70, 95% CI 1.15-2.52), while fatalism belief was not significant in the regression (OR 0.65, 95% CI 0.22-1.95).

Conclusions

This study explored the information-seeking patterns of cancer patients in southwest China. It was found that many Chinese people endorsed cancer fatalism. These pessimistic beliefs about the potential to prevent and to cure cancer correlate with rather than cause cancer-related information seeking. However, self-efficacy about the confidence in finding needed cancer information was a significant predictor of information-seeking.

Drivers of Mobile Health Acceptance and Use From the Patient Perspective: Survey Study and Quantitative Model Development

Background

Mobile health (mHealth) has potential to play a significant role in realizing a reversal of the current paradigm in health care toward a more patient-centric and more collaborative system to improve the outcomes obtained along with the quality and sustainability of health care systems.

Objective

The aim of this study was to explore and understand individual mHealth acceptance drivers between two groups of users: those with chronic health conditions and those without.

Methods

The extended unified theory of acceptance and usage of technology (UTAUT2) was enhanced with a new health-related framework: behavior intention to recommend and new mediation effects. We applied partial least squares (PLS) causal modeling to test the research model.

Results

We obtained 322 valid responses through an online questionnaire. The drivers of behavior intention with statistical significance were performance expectancy (β=.29, P<.001), habit (β=.39, P<.001), and personal empowerment (β=.18, P=.01). The precursors of use behavior were habit (β= .47, P<.001) and personal empowerment (β=.17, P=.01). Behavior intention to recommend was significantly influenced by behavior intention (β=.58, P<.001) and personal empowerment (β=.26, P<.001). The model explained 66% of the total variance in behavior intention, 54% of the variance in use behavior, and 70% of the variance in behavior intention to recommend.

Conclusions

Our study demonstrates a significant role of personal empowerment, as a second-order construct, in the mHealth acceptance context. The presence of a chronic health condition predicates an impact on acceptance of this technology.

Factors Influencing Acceptance of Personal Health Record Apps for Workplace Health Promotion: Cross-Sectional Questionnaire Study

Background

Health care technologies can help improve workers’ health and productivity by supporting workplace health promotion. A personal health record app is used to manage medical data such as results from medical checkups, which facilitates decision making for medical personnel. However, an analysis of users’ technology acceptance is required to provide appropriate services based on personal health record apps.

Objective

The purpose of this study was to analyze the factors influencing the behavioral intention of health experts and workers to use an app in workers’ health centers and to examine differences in their perception of the main variables.

Methods

The study involved health experts and workers who visited 21 workers’ health centers in Korea to verify a research model in which perceived risk was added to the unified theory of acceptance and use of technology, a representative theory of information technology acceptance. After receiving ethical approval from the Korea National Institute for Bioethics Policy, 1050 questionnaires were distributed over 7 weeks with cooperation of the Korea Occupational Safety and Health Agency. A multiple linear regression analysis and multigroup path analysis were performed to verify the hypotheses, and independent samples t tests were performed to analyze differences between workers’ and health experts’ perception of the main variables.

Results

The analysis included data from 866 respondents (687 workers and 179 health experts). Effort expectancy (beta=.08, P=.03), social influence (beta=.43, P<.001), performance expectancy (beta=.07, P=.008), and facilitating conditions (beta=.13, P<.001) exerted significant positive effects on behavioral intention, whereas perceived risk (beta=–.29, P<.001) exerted a significant negative effect on behavioral intention. Performance expectancy had a significant effect on path differences depending on gender (critical ratio=–3.38) and age (critical ratio=1.97). Workers’ mean scores for the main variables were higher relative to those of health experts for all remaining variables except perceived risk, and significant differences were observed for all remaining variables except facilitating condition.

Conclusions

Social influence exerted the strongest effect on behavioral intention to use the personal health record app. Consequently, it is necessary to coordinate health promotion activities in the workplace as well as the operational direction of community institutions such as in workers’ health centers to allow workers to manage their own health via continuous use of the app. In addition, the app should be developed based on a requirement analysis of the balance between both interest groups in consideration of differences in perspective between consumers and service providers.

Seniors and mobiles: A qualitative inquiry of mHealth adoption among Singapore seniors

OBJECTIVE

This study examines how seniors in Singapore use mobile devices for healthcare purposes.

METHODS

Semi-structured interviews with 35 mobile phone users aged between 58-82 years old.

RESULTS

Seniors regard mobile phones as important personal devices for socialization, security, and emergency purposes. Most of the seniors consider mobile telephony (voice calls and text messaging) as an accessible platform to access healthcare. Perceived usefulness, ease of use, compatibility, technology anxiety, financial cost, and self-efficacy were identified as factors affecting the use of mHealth among seniors. Although a few adopt mHealth applications and mobile Internet for health-information seeking, some younger seniors show enthusiastic attitudes toward its adoption. Additionally, some seniors also have technology anxiety and resistance toward using mHealth applications.

CONCLUSION

Seniors use mobile phones for healthcare purposes in their daily life, and its use involves several facilitators and barriers. Interpersonal training is likely to reduce their anxiety and increase mHealth literacy and adoption. Theoretical and practical implications are discussed.

Using Goal-Directed Design to Create a Mobile Health App to Improve Patient Compliance With Hypertension Self-Management: Development and Deployment

BACKGROUND

Hypertension is a lifestyle-induced chronic disease that threatens the lives of patients. Control of hypertension requires patients to follow self-management regimes; unfortunately, however, patient compliance with hypertension self-management is low, especially in developing countries. Improvement of patient compliance is premised on meeting patient needs. Mobile health apps are becoming increasingly popular for self-management of chronic diseases. However, few mobile apps have been designed to meet patient needs for hypertension self-management.

OBJECTIVE

The goal of this study was to develop a mobile health app to improve patient compliance with hypertension self-management and evaluate the effectiveness of the app in terms of patient compliance.

METHODS

The goal-directed design method was applied to guide study design. We divided the study into 4 stages. Stages 1 to 3 comprised the development process. To improve the applicability of the goal-directed design method to chronic disease management, we extracted elements of user models concerned with patient compliance and defined a concrete process for user modeling. In stage 1, personas of hypertensive patients were built using qualitative and quantitative methods. Clustering methods based on questionnaire responses were used to group patients. Qualitative interviews were conducted to identify the needs of different groups. In stage 2, several functional modules were designed to meet the needs of different groups based on the results from stage 1. In stage 3, prototypes of functional modules were designed and implemented as a real app. Stage 4 was the deployment process, in which we conducted a pilot study to investigate patient compliance after using the app. Patient compliance was calculated through the frequency with which they took blood pressure measurements. In addition, qualitative interviews were conducted to learn the underlying reasons for the compliance results.

RESULTS

In stage 1, patients were divided into 3 groups based on 82 valid questionnaire responses. Eighteen patients from the different groups (7, 5, and 6 patients) were interviewed, and the needs of the groups were summarized as follows: improve self-management ability, enhance self-management motivation, and receive self-management support. In stages 2 and 3, 6 functional modules were designed and implemented based on specified needs, and the usability of the app was improved through usability tests. In stage 4, 143 patients were recruited to use different versions of the app for 2 months. Results show that patient compliance improved as functional modules were added (P<.001) and was maintained at a high level (rate of 0.73). Interview results from 32 patients show that the design of the app met different needs; thus, patients were more compliant with it.

CONCLUSIONS

This study developed a mobile health app for hypertension self-management using the goal-directed design method. The app proved to be effective for improving patient compliance with hypertension self-management.

Empirical Investigation of Factors Influencing Consumer Intention to Use an Artificial Intelligence-Powered Mobile Application for Weight Loss and Health Management

Background: Research into interventions based on mobile health (m-Health) applications (apps) has attracted considerable attention among researchers; however, most previous studies have focused on research-led apps and their effectiveness when applied to overweight/obese adults. There remains a paucity of research on the attitudes of typical consumers toward the adoption of m-Health apps for weight management. This study adopted the tenets of the extended unified theory of acceptance and use of technology 2 (UTAUT2) as the theoretical foundation in developing a model that integrates personal innovativeness (PI) and network externality (NE) in seeking to identify the factors with the most pronounced effect on one's intention to use an artificial intelligence-powered weight loss and health management app. Materials and Methods: An online survey was conducted for Taiwanese participants aged ≥21 years from May 23 to June 30, 2018. Hypotheses were tested using structural equation modeling. Results: In the analysis of 458 responses, the proposed research model explained 75.5% of variance in behavioral intention (BI). Habit was the independent variable with the strongest performance in predicting user intention, followed by PI, NE, and performance expectancy (PE). Social influence weakly affects user intention through PE. In multi-group analysis, education was shown to exert a moderating influence on some of the relationships hypothesized in the model. Conclusions: The empirically validated model in this study provides insights into the primary determinants of user intention toward the adoption of m-Health app for weight loss and health management. The theoretical and practical implications are relevant to researchers seeking to extend the applicability of the UTAUT2 model to health apps as well as practitioners seeking to promote the adoption of m-Health apps. In the future, researchers could extend the model to assess the effects of BI on actual use behavior.

Vaccipack, A Mobile App to Promote Human Papillomavirus Vaccine Uptake Among Adolescents Aged 11 to 14 Years: Development and Usability Study

BACKGROUND

More than 90% of human papillomavirus (HPV)-related cancers could be prevented by widespread uptake of the HPV vaccine, yet vaccine use in the United States falls short of public health goals.

OBJECTIVE

The purpose of this study was to describe the development, acceptability, and intention to use the mobile app Vaccipack, which was designed to promote uptake and completion of the adolescent HPV vaccine series.

METHODS

Development of the mobile health (mHealth) content was based on the integrated behavioral model (IBM). The technology acceptance model (TAM) was used to guide the app usability evaluation. App design utilized an iterative process involving providers and potential users who were parents and adolescents. App features include a vaccine-tracking function, a discussion forum, and stories with embedded messages to promote intention to vaccinate. Parents and adolescents completed surveys before and after introducing the app in a pediatric primary care setting with low HPV vaccination rates.

RESULTS

Surveys were completed by 54 participants (20 adolescents aged 11 to 14 years and 34 parents). Notably, 75% (15/20) of adolescents and 88% (30/34) of parents intended to use the app in the next 2 weeks. Acceptability of the app was high among both groups: 88% (30/34) of parents and 75% (15/20) of adolescents indicated that Vaccipack was easy to use, and 82% (28/34) of parents and 85% (17/20) of adolescents perceived the app to be beneficial. Higher levels of app acceptability were found among parents with strong intentions to use the app (P=.09; 95% CI -2.15 to 0.15).

CONCLUSIONS

mHealth technology, such as Vaccipack, may be an acceptable and nimble platform for providing information to parents and adolescents and advancing the uptake of important vaccines.

Dual paths to continuous online knowledge sharing: a repetitive behavior perspective

Purpose

Continuous knowledge sharing by active users, who are highly active in answering questions, is crucial to the sustenance of social question-and-answer (Q&A) sites. The purpose of this paper is to examine such knowledge sharing considering reason-based elaborate decision and habit-based automated cognitive processes.

Design/methodology/approach

To verify the research hypotheses, survey data on subjective intentions and web-crawled data on objective behavior are utilized. The sample size is 337 with the response rate of 27.2 percent. Negative binomial and hierarchical linear regressions are used given the skewed distribution of the dependent variable (i.e. the number of answers).

Findings

Both elaborate decision (linking satisfaction, intentions and continuance behavior) and automated cognitive processes (linking past and continuance behavior) are significant and substitutable.

Research limitations/implications

By measuring both subjective intentions and objective behavior, it verifies a detailed mechanism linking continuance intentions, past behavior and continuous knowledge sharing. The significant influence of automated cognitive processes implies that online knowledge sharing is habitual for active users.

Practical implications

Understanding that online knowledge sharing is habitual is imperative to maintaining continuous knowledge sharing by active users. Knowledge sharing trends should be monitored to check if the frequency of sharing decreases. Social Q&A sites should intervene to restore knowledge sharing behavior through personalized incentives.

Originality/value

This is the first study utilizing both subjective intentions and objective behavior data in the context of online knowledge sharing. It also introduces habit-based automated cognitive processes to this context. This approach extends the current understanding of continuous online knowledge sharing behavior.

The use of mobile devices and applications for health information: A survey of Croatian students

This study aims to understand the information behaviours of youth seeking health information on mobile devices and to explore differences by prior knowledge, gender and grade level. A survey was conducted in two high schools in Osijek, Croatia. Results indicate that among the total 408 participants, 84.3% reported having used mobile devices for health information and 54.7% reported having used applications for health information. Students seek health information about physical activity and eating issues/nutrition mostly on mobile devices. Students with more prior medical knowledge tend to have more information needs, perceive mobile devices as more beneficial, search health information and use health-related applications more frequently, and consider the tracking/recording/monitoring feature of applications more useful. Students with less prior medical knowledge tend to consider the video feature of applications more useful. Students rely heavily on searching health topics in search engines on mobile devices, rather than browsing or using applications. This study provides implications to better assist young people in using mobile devices and applications to manage their health issues.

Integrating usability and social cognitive theories with the technology acceptance model to understand young users’ acceptance of a health information portal

The past decade has seen the proliferation of health information portals; however, consumer acceptance of the portals has proven difficult and rate of use has been limited. This study developed a consumer acceptance model by integrating usability and social cognitive theories with the technology acceptance model to explain young Internet users’ acceptance of health information portals. Participants (n = 201) completed a self-report questionnaire measuring model constructs after attending a usability testing with a typical health information portal. Results showed that the hypothesized model accounted for 56 percent of the variance in behavioral intention to use the portal and explained consumer acceptance well. Both subjective usability and application-specific self-efficacy served as significant antecedents in the model, while application-specific self-efficacy also moderated the effect of subjective usability on perceived ease of use. The findings can help practitioners with the design and implementation of health information portals and other health informatics applications in support of consumer acceptance.