Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users

The role of Contact-Tracing Mobile Apps in pandemic prevention: A multidisciplinary perspective on health beliefs, social, and technological factors

During the recent COVID-19 pandemic, governments implemented mobile applications for contact tracing as a rapid and effective solution to mitigate the spread of the virus. However, these seemingly straightforward solutions did not achieve their intended objectives. In line with previous research, this paper aims to investigate the factors that influence the acceptance and usage of contact-tracing mobile apps (CTMAs) in the context of disease control. The research model in this paper integrates the Unified Theory of Acceptance and Use of Technology and the Health Belief Model (HBM). The present study involved a diverse sample of 770 French participants of all genders, ages, occupations, and regions. Critical elements from the Health Belief Model, technological factors related to the app, and social factors, including the centrality of religiosity, were assessed using well-established measurement scales. The research's findings demonstrate that several factors, such as perceived benefits and perceived severity, social influence, health motivation, and centrality of religiosity, significantly impact the intention to use a CTMA. These findings suggest that CTMAs hold promise as valuable tools for managing future epidemics. However, addressing challenges, revising implementation strategies, and potentially collaborating with specialized industry partners under regulatory frameworks are crucial. This practical insight can guide policymakers and public health officials in their decision-making.

Child Health Nurses' Acceptance and Use of a Novel Telehealth Platform: A Mixed-Method Study

Telehealth appointments in the healthcare sector have increased since the COVID-19 pandemic, increasing patients' access to services. However, research exploring nurse perceptions of implemented telehealth services in the community sector is limited. Within the context of quality improvement, the current study aimed to understand child health nurses' acceptance and use of a novel telehealth platform using mixed methods. A total of 38 child health nurses completed an online survey that included multiple-choice questions based on an expanded Technology Acceptance Model and open-ended questions exploring barriers and facilitators to use. Results demonstrated that despite 70% of nurse users having completed less than three sessions with parents, perception and acceptance scores were high. Overall, 85% of variance in satisfaction with the platform and 46% of variance in intention to use the platform were predicted by perception scores. Three consistent themes generated from data were facilitators for use and five as barriers, which provided further understanding to findings. To ensure telehealth is adapted into routine clinical care, facilitators and barriers for implementation need to be identified and addressed. Nurses need to be engaged in implementation and ongoing maintenance to ensure the uptake and optimal use of technology within nursing care.

ICT in Nursing and Patient Healthcare Management: Scoping Review and Case Studies

Over the past few decades, Information and Communication Technologies (ICT) have revolutionized the fields of nursing and patient healthcare management. This scoping review and the accompanying case studies shed light on the extensive scope and impact of ICT in these critical healthcare domains. The scoping review explores the wide array of ICT tools employed in nursing care and patient healthcare management. These tools encompass electronic health records systems, mobile applications, telemedicine solutions, remote monitoring systems, and more. This article underscores how these technologies have enhanced the efficiency, accuracy, and accessibility of clinical information, contributing to improved patient care. ICT revolution has revitalized nursing care and patient management, improving the quality of care and patient satisfaction. This review and the accompanying case studies emphasize the ongoing potential of ICT in the healthcare sector and call for further research to maximize its benefits.

Effectiveness and intention to use a COVID-19 self-management app for epidemiological investigation: a web-based survey study

Introduction

Numerous COVID-19-related apps were widely used during the COVID-19 pandemic. Among them, those supporting epidemiological investigations were particularly useful. This study explored the effectiveness of apps that support epidemiological investigations, factors influencing users' intention to use them, and ways to encourage their use.

Methods

We developed and evaluated the KODARI app to demonstrate its importance in epidemiological investigations. After adapting a questionnaire based on an existing evaluation framework for COVID-19-related apps, we collected data from 276 participants through an online survey conducted between April 28 and May 25, 2023. We conducted two independent sample t-tests to determine the differences between each variable according to demographic characteristics and a multiple regression analysis to identify factors affecting intention to use.

Results

Users were generally satisfied with the KODARI. We observed differences in sex, age, marital status, occupational characteristics, and experience with epidemiological investigation. Females rated the app's information accuracy higher than males. Males had a higher intention to use than females. Participants aged under 35 years rated information accuracy and transparency highly, whereas single participants rated information accuracy higher than married participants. Occupational groups with frequent interactions with others evaluated their self-determination regarding the application. The app's self-determination was highly valued among participants with experience in epidemiological investigations. By investigating the factors affecting the intention to use the app, we confirmed that effectiveness, self-determination, and usability significantly affected the intention to use.

Discussion

This study demonstrated the effectiveness of app supporting epidemiological investigations, identified meaningful factors that influence intention to use, and confirmed the applicability of our new framework by considering the specificity of infectious disease situations such as COVID-19. This study provides a new basis for future epidemiological studies.

Perceptions of HIV patients on the use of cell phones as a tool to improve their antiretroviral adherence in Northwest, Ethiopia: a cross-sectional study

BACKGROUND

Human immuno deficiency virus (HIV) is one of the most infectious diseases that cause death. A Medication non-adherence in HIV patient has been caused by factors such as not taking medications as prescribed by a physician, withdrawing from medication, missing appointments, and forgetfulness. To improve patients' antiretroviral adherence, supporting them with mobile phone applications is advisable. This study aimed to assess HIV patients' perceptions towards the use of cell phones to improve antiretroviral adherence.

METHODS AND MATERIALS

An institutional-based cross-sectional study was conducted among 423 HIV patients at a comprehensive specialized hospital in northwest Ethiopia from June to July 2022. Study participants were selected using systematic random sampling techniques and the data collection tool was adopted and modified for different literatures. Data were collected through an online data collection tool, and STATA-14 software was used for analysis. Descriptive statistics and binary logistic regression were used. The variables with a P-value equal to or less than 0.2 in bivariable logistic regression were entered into a multivariable logistic regression, and model fitness was assessed.

RESULTS

A total of 410 study subjects have participated, making a response rate of 97%. In this study, 62% (95% CI: 57-67%) of HIV patients had a positive perception regarding the use of mobile phones to improve antiretroviral adherence. Perceived usefulness of mobile phones [AOR = 4.5, (95% CI: 2.2-9.1)], perceived ease of mobile phone use [AOR = 3.9, (95% CI: 2.0-7.5), age [AOR = 3.0, (95% CI: 1.5-6.2)], and educational status [AOR = 5.0, (95% CI: 2.3-10.0)] were significantly associated with HIV patients' perception of mobile phones' use to improve antiretroviral adherence.

CONCLUSIONS

More than half of the respondents had positive perception regarding the use of mobile phones to enhance their adherence to treatment. Perceived usefulness, perceived ease of use, age, and educational status was significantly associated with perception of mobile phone use to enhance antiretroviral therapy adherence. Therefore, the government have to encourage and support patients in incorporating mobile phones into their antiretroviral therapy (ART) follow-up through training.

A comparative analysis of digital health usage intentions towards the adoption of virtual reality in telerehabilitation

BACKGROUND

With the rapid development of the metaverse and the problem of non-attendance in traditional rehabilitation, virtual reality in telerehabilitation has become increasingly vital in modern medicine. However, research on determining predictors that influence the public's behavioral intention to adopt VR-based telerehabilitation has not been extensively studied.

OBJECTIVE

This study aims to propose a new research model with a comparative analysis on understanding factors affecting the public's behavioral intention to adopt VR in telerehabilitation for different user groups.

METHODS

A total of 215 respondents from the general public completed an online questionnaire to validate the proposed research model. The collected data was analyzed using SPSS and AMOS. The proposed model was additionally validated using CFA and multiple linear regression.

RESULTS

This study found that effort expectancy, threat appraisals, and trust had a positive significant influence on the public's behavioral intention to adopt VR in telerehabilitation. However, performance expectancy and facilitating conditions had no significant relationship with behavioral intention. Notably, the average of the primary factors for older adults was generally higher than for younger adults.

CONCLUSIONS

The present study confirms the applicability of the proposed research model. Our findings contribute up-to-date insights for related stakeholders to minimize implementation failures and develop successful adoption strategies for the future expansion of telerehabilitation.

Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs

The COVID-19 pandemic boosted the digital transformation of many services, including healthcare, and access to medical care using teleconsultation has increased rapidly. Thus, a growing number of online platforms have been developed to accommodate patients’ needs. This paper examines the factors that predict the intention to use medical teleconsultation by extending the unified theory of acceptance and use of technology (UTAUT2) with the three dimensions of trusting beliefs and self-efficacy. A survey was administered to patients who had used a teleconsultation platform during the pandemic period. As one of the largest studies to date, a sample of 1233 respondents was collected and analyzed using a partial least squares approach, often mobilized in the information systems (IS) domain. Furthermore, a deep analysis using all recommended metrics was performed. The results highlight the significance of trusting beliefs, and self-efficacy in the adoption of digital healthcare services. These findings contribute to both theory and practice in COVID-19 research.

Determinants of intention with remote health management service among urban older adults: A Unified Theory of Acceptance and Use of Technology perspective

Background

Although older adults health management systems have been shown to have a significant impact on health levels, there remains the problem of low use rate, frequency of use, and acceptance by the older adults. This study aims to explore the significant factors which serve as determinants of behavioral intention to use the technology, which in turn promotes actual use.

Methods

This study took a total of 402 urban older adults over 60 years to explore the impact of the use behavior toward remote health management (RHM) through an online questionnaire. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), the author adds four dimensions: perceived risk, perceived value, perceived interactivity and individual innovation, constructed an extended structural equation model of acceptance and use of technology, and analyzed the variable path relationship.

Results

In this study, the factor loading is between 0.61 and 0.98; the overall Cronbach's Alpha coefficients are >0.7; The composite reliability ranges from 0.59 to 0.91; the average variance extraction ranges from 0.51 to 0.85, which shows the good reliability, validity, and discriminant validity of the constructed model. The influencing factors of the behavioral intention of the older adults to accept the health management system are: effort expectation, social influences, perceived value, performance expectation, perceived interactivity and perceived risk. Effort expectation has a significant positive impact on performance expectation. Individual innovation positively impacts performance expectation and perceived interactivity. Perceived interactivity and behavioral intention have a significant positive effect on the use behavior of the older adults, while the facilitating conditions have little effect on the use behavior.

Conclusions

This paper constructs and verifies the extended model based on UTAUT, fully explores the potential factors affecting the use intention of the older adult users. According to the research findings, some suggestions are proposed from the aspects of effort expectation, performance expectation, perceived interaction and perceived value to improve the use intention and user experience of Internet-based health management services in older adults.

Acceptance and use of the distance education systems of Turkish medical educators during COVID-19 pandemic: an analysis of contextual factors with the UTAUT2

The aim of this study was to analyze the factors that has affected the use and approval of distance education systems during the COVID-19 pandemic in Turkey according to the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). The study provided valuable insights on factors affecting the acceptance and use of distance education systems, which have become vital media of instruction since 2020. A total of 708 medical educators volunteered to participate in the study. The data were collected with a scale that was developed according to the UTAUT2 model. The scale consists of the variables of the UTAUT2 model as a ten-point Likert type questionnaire, including twenty-five items and seven dimensions: performance expectancy, effort expectancy, social influence, hedonic motivation, habits, facilitating conditions and behavioral intentions. The data were processed through correlation analysis, simple and multiple linear regression, and the structural equation model. The findings of the study indicated that performance expectancy, effort expectancy, social influence, hedonic motivation, habit, facilitating conditions and behavioral intentions all had positive effects on medical educators using distance education systems.

Telehealth during the pandemic: Patient perceptions and policy implications

INTRODUCTION

Telehealth's potential to improve access to specialty health care, increase favorable patient outcomes, and save money demands attention. Unfortunately, patients often fail to embrace telehealth. The COVID-19 pandemic fueled greater telehealth usage globally. Little is known about patient perceptions of telehealth in the context of a pandemic. Therefore, we sought to understand patient perceptions of telehealth during the COVID-19 pandemic and explore relevant policy implications.

DESIGN

Researchers used a cross-sectional, non-experimental design to survey 366 patients across two telehealth programs at a Mississippi academic health sciences center between November 1, 2021 and November 15, 2021.

METHODS

As part of a larger, psychometric study on patient acceptance of telehealth, participants rated the item, "The COVID-19 pandemic has made me more open to using telehealth" on a 5-point Likert scale (1 = strongly disagree; 5 = strongly agree). Means of the different groups were analyzed using independent t-test and one-way ANOVA with Bonferroni post-hoc multiple comparisons.

RESULTS

Of the total participants, 73% (n = 366) either agreed or strongly agreed that the COVID-19 pandemic had made them more open to using telehealth. Significant differences existed by age (p = 0.016), race/ethnicity (p = 0.015), and sex (p < 0.001), however, groups did not differ by age during post-hoc analysis. A significant difference in the mean responses was observed between black participants (M = 4.29) and white participants (M = 3.91; p = 0.011). In addition, female participants (M = 4.11) rated the item higher than male participants (M = 3.65).

CONCLUSION

As access to telehealth increased due to the COVID-19 pandemic, patients' perceptions to telehealth seem to have shifted in the positive direction as well. Findings may be used to support expansion of telehealth and advocacy for patients in a variety of settings.

CLINICAL RELEVANCE

Study findings indicate that participants of telehealth are more open to using telehealth due to the COVID-19 pandemic. Implementing telehealth should be a priority to increase access to care for those who have limited access to specialty care, and policymakers should advocate to decrease barriers to telehealth within their institutions.

Systematic Review and Meta-Analysis of Telecoaching for Self-Care Management among Persons with Type 2 Diabetes Mellitus

BACKGROUND

In response to the need for safe care for people with diabetes mellitus in the current outbreak of COVID-19, it is critical to evaluate the model, service delivery, feasibility, and efficiency of diabetes mellitus telecoaching.

OBJECTIVE

This study aimed to conduct a systematic review and meta-analysis of the model and efficacy of telecoaching to improve self-care and clinical outcomes.

METHODS

This study uses the Preferred Reporting Item for Systematic Review and Meta-Analysis (PRISMA). We searched on 22 March 2022, using keywords that matched the MeSH browser in four databases to find relevant studies, namely, PubMed/Medline, Proquest, Scopus, and EBSCOhost. Additionally, we collected randomized controlled trials (RCTs) on Google Scholar using the snowball technique. A quality assessment was performed using the Cochrane Collaboration's Risk of Bias tool (RoB)2. The meta-analysis used the DerSimonian-Laird random-effects model to analyze the pooled mean difference (MD) and its p-value.

RESULTS

Thirteen RCT studies were included for the systematic review and meta-analysis with a total number of participants of 3300. The model of telecoaching is a form of using nurses-led telephone and mobile apps, which are relatively cost-effective. The meta-analysis showed a positively improved statistically significance in clinical outcomes, including in HbA1c (a pooled MD of -0.33; 95% CI: -0.51--0.15; p = 0.0003), blood glucose (-18.99; 95% CI: -20.89--17.09; p = 0.00001), systolic blood pressure (-2.66; 95% CI: -3.66--1.66; p = 0.00001), body mass index (-0.79; 95% CI: -1.39--0.18; p = 0.01), and weight (-2.16 kg; 95% CI: -3.95--0.38; p = 0.02). It was not, however, statistically significant in diastolic blood pressure (-0.87; 95% CI: -2.02-0.28; p = 0.14), total cholesterol (-0.07; 95% CI: -0.26-0.12; p = 0.46), low-density lipoprotein (-2.19; 95% CI: -6.70-2.31; p = 0.34), triglycerides (-13.56; 95% CI: -40.46-13.35; p = 0.32) and high-density protein (0.40; 95% CI: -1.12-1.91; p = 0.61).

CONCLUSIONS

The telecoaching with nurses-led telephone and mobile apps significantly affected clinical outcomes on HbA1c, systolic blood pressure, weight, and BMI. Moreover, there was no significant effect on the total cholesterol, low-density lipoprotein, triglycerides, and high-density lipoprotein. Thus, telecoaching has the potential as a care model in diabetes mellitus during COVID-19 and similar pandemics to improve self-care and clinical outcomes, but all the studies analyzed involved non-COVID-19 patients, limiting the generalizability of the results to COVID-19.

Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model

Background

Despite the high usage of mobile phones in daily life in developing countries like Bangladesh, the adoption and usage of mHealth services have been significantly low among the elderly population. When searching previous studies, the researchers have found that no studies have empirically investigated whether the quality of life and service quality are significant for mHealth adoption by elderlies in Bangladesh. Hence, this study aimed to extend the Unified Theory of Acceptance and Use of Technology by adding service quality and the quality of life to empirically find the key factors that influence elderlies’ intention to adopt and use mHealth services in Bangladesh.

Methods

A face-to-face structured questionnaire survey method was used to collect data from 493 elderlies (aged 60 years and above) in Bangladesh. The data were analyzed with the Structural Equations Modelling (SEM) and Fuzzy Set Qualitative Comparative Analysis (fsQCA).

Results

SEM results suggested that Social Influence, Hedonic Motivation, Price Value, Habit, and Service Quality had significant impact (p < 0.05) on the elderlies’ behavioral intention to adopt mHealth services. Service Quality, Quality of Life, and elderlies’ Habit were found significant in explaining the Use Behavior of mHealth services. Quality of Life did not show significant (p > 0.05) effect on Behavioral Intention, which is inconsistent with existing literature. In addition, fsQCA findings suggest how the intensity of the influencers may contribute to high versus low m-health behavioral outcomes.

Conclusions

The findings have significant implications for theory, practice and future research as explained in the paper. The originality of this study is the integration of quality of life and service quality into UTUAT2 to explain the users’ behavioural intention and use behaviour. Overall, the findings may contribute to shaping appropriate policies for designing and implementing mHealth services effectively for elderlies in developing countries.

Measuring the Impact of Virtual Communities on the Intention to Use Telemedicine Services

Digital marketing has given new life to healthcare services by enhancing their visibility in the online space. People choose online healthcare services because they can receive instant answers and communicate with specialists in their comfortable environment at the right time. The purpose of this study was to understand the impact of virtual communities on the intention to use telemedicine. The model is based on a combination of consumer desire (psychological objective) and loyalty through promotional formats (economic objective), as well as data collected from 442 respondents analyzed using structural equation modeling. The research results show that by analyzing target groups in social networks, content can be individualized, and an accurate measurement of e-patient satisfaction must be conducted in order to improve the experience of future consumers of telemedicine services. The results of this study explain what makes people want to use digital healthcare services and can serve as a guide for people who run virtual communities and help digital healthcare service providers figure out how to market their services.

Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study

Background

In recent years, the use of mobile health (mHealth) apps to manage chronic diseases has increased significantly. Although mHealth apps have many benefits, their acceptance is still low in certain areas and groups. Most mHealth acceptance studies are based on technology acceptance models. In particular, the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model was developed to predict technology acceptance in a consumer context. However, to date, only a few studies have used the UTAUT2 model to predict mHealth acceptance and confirm its suitability for the health sector. Thus, it is unclear whether the UTAUT2 model is suitable for predicting mHealth acceptance and whether essential variables for a health-related context are missing.

Objective

This study aims to validate the suitability of UTAUT2 for predicting mHealth acceptance.

Methods

In this study, diabetes was used as an example as mHealth apps are a significant element of diabetes self-management. In addition, diabetes is one of the most common chronic diseases affecting young and older people worldwide. An explorative literature review and guided interviews with 11 mHealth or technology acceptance experts and 8 mHealth users in Austria and Germany were triangulated to identify all relevant constructs for predicting mHealth acceptance. The interview participants were recruited by purposive sampling until theoretical saturation was reached. Data were analyzed using structured content analysis based on inductive and deductive approaches.

Results

This study was able to confirm the relevance of all exogenous UTAUT2 constructs. However, it revealed two additional constructs that may also need to be considered to better predict mHealth acceptance: trust and perceived disease threat.

Conclusions

This study showed that the UTAUT2 model is suitable for predicting mHealth acceptance. However, the model should be extended to include 2 additional constructs for use in the mHealth context.

Factors Influencing the Acceptance of Pediatric Telemedicine Services in China: A Cross-Sectional Study

Background: Pediatrician workforce shortages have aroused great attention from health authorities in China. Telemedicine services have been known to enhance the management of children's health, yet the rate of adoption and usage in Chinese hospitals still at a quite low level, and the factors influencing the acceptance of telemedicine services remains unclear. Objective: The purpose of this empirical study was to evaluate the reliability and validity of a technology acceptance measurement instrument applied in healthcare, to investigate the perception of telemedicine services on the provider-side and demand-side, and to determine the factors that may drive individuals to adopt telemedicine services. Methods: A cross-sectional survey study based at Shanghai Children's Hospital, Shanghai Jiao Tong University, was conducted in March 2020. A total of 456 valid responses were obtained by convenience sampling. The internal consistency of items was assessed by Cronbach's alpha (α), composite reliability (CR) and average variance extracted (AVE) to evaluate both the reliability and validity of the questionnaire. Structural equation modeling analysis was used to test and verify the interrelationships among relevant variables. Results: Price value is the strongest predictor (β = 0.30, p = 0.02), facilitating conditions (β = 0.28, p = 0.01) and hedonic motivation (β = 0.13, p = 0.04) also have significantly positive direct effects on telemedicine acceptance. The results showed the perception of child patients' families were significantly more acceptable to telemedicine services than pediatricians (t = -2.99, p < 0.01). Participants with no prior experience and lower education may be more willing to adopt telemedicine. Conclusion: Telemedicine will likely continue to have an integral role in pediatric health care delivery, and the findings can assist policy makers and hospital administrators in determining the more valued characteristics of telemedicine services from a behavioral perspective. Future attention will be paid to the pricing, training and service quality of telemedicine in China.

Patients' perceptions of teleconsultation during COVID-19: A cross-national study

In recent months, humanity has had to deal with a worldwide pandemic called COVID-19, which has caused the death of hundreds of thousands of people and paralyzed the global economy. Struggling to cure infected patients while continuing to care for patients with other pathologies, health authorities have faced the lack of medical staff and infrastructure. This study aimed to investigate the acceptance of teleconsultation solutions by patients, which help to avoid the spread of the disease during this pandemic period. The model was built using some constructs of the technology acceptance model UTAUT2, Personal traits, Availability, and Perceived Risks. A new scale on Contamination Avoidance was developed by the authors. The questionnaire was disseminated in several countries in Europe and Asia and a total sample of 386 respondents was collected. The results emphasize the huge impact of Performance Expectancy, the negative influence of Perceived Risk, and the positive influence of Contamination Avoidance on the adoption of teleconsultation solutions. The findings highlight the moderating effects of Age, Gender, and Country.

Utilization of integrated health kiosks: A systematic review

Background: In some countries, integrated health kiosks are used to provide some services and information. However; it is still not officially included in many countries' health systems. The purpose of this study was to gather and summarize different aspects of using health kiosks in countries. Methods: Five English databases, including Web of Science, Cochrane Library, PubMed / Medline, Embase and Scopus, were explored from 2001 to 2018, using words related to three concepts: health, design and development, and kiosk. Different dimensions of health kiosks utilization in the world were identified and analyzed thematically. Results: Out of 918 search results, 37 articles were included in the study and analyzed. Most of them were conducted in the United States and addressed the development, implementation, design, or feasibility of utilizing integrated health kiosks. The different aspects of kiosk utilization were categorized into 6 dimensions: services provided, deployment location, user characteristics and variables of accepting kiosks, notable design and construction points, their benefits and effectiveness, and finally, the challenges of using kiosks. Conclusion: This study found that health kiosks are promising, cost-effective and multifunctional tools; if included in the formal health system of countries, they may improve health indicators in countries. However, before deploying, their challenges and concerns need to be investigated and addressed.

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.

A cluster randomized controlled trial of a simplified 5-step handwashing technique versus a conventional 7-step handwashing technique among Chinese students with intellectual disabilities

OBJECTIVE

To compare the effects of the simplified 5-step and the conventional 7-Step hand hygiene programme in a cluster randomized controlled trial among students with intellectual disabilities.

METHOD

A total of 472 Chinese students with intellectual disabilities were randomized to either simplified 5-step or conventional 7-step hand hygiene programme. Assessments included handwashing technique, cleanliness and sick leave days.

RESULTS

Handwashing technique scores (g = 0.25, 95% CI [0.18, 0.32]) and hand cleanliness scores (g = 0.33, 95% CI [0.26, 0.4]) in intervention group were significantly higher than those scores in control group at 6th month post-intervention although there were significant increases in the scores within both groups. The mean number of sick leave days decreased between baseline and 10 month in both groups according to descriptive statistics.

CONCLUSIONS

It is feasible and effective to adopt the simplified 5-step intervention as a standardized handwashing technique for the population group with intellectual disabilities.

Choosing Video Instead of In-Clinic Consultations in Primary Care in Israel: Discrete Choice Experiment Among Key Stakeholders-Patients, Primary Care Physicians, and Policy Makers

BACKGROUND

Despite its innovative benefits, the adoption of video consultations (VCs) in primary care settings is complex and slow.

OBJECTIVES

To quantify the preferences of key stakeholders in Israel's primary care-patients, primary care practitioners, and policy makers-regarding VCs compared with traditional in-clinic consultations (ICC) in nonurgent conditions.

METHODS

Discrete choice experiment surveys were completed by 508 patients, 311 physicians, and 141 policy makers. These consisted of 12 choice tasks of 2 labeled alternatives (VC or ICC), with the 4 attributes most relevant to each stakeholder group. A random effects logit model analysis was used to estimate stakeholders' preferences.

RESULTS

All 4 experiments' attributes were significantly important in choosing VC versus ICC for the patient group and the physician group. Three out of 4 attributes were significantly important to policy makers. Differences and similarities between stakeholders were identified in attribute rank order, trade-offs, and VC uptake probabilities. Policy makers' VC uptake rate was 86%. Patients' preferences suggested that 68% of ICCs could be replaced by VCs. Physicians' VC uptake was 30% in cases in which the consultation purpose was to diagnose and provide treatment and 48% in cases in which the consultation purpose was follow-up.

CONCLUSIONS

Our findings show key stakeholders' preferences about VC integration, to be considered when these systems are introduced into primary care and optimize the implementation process. Although there is a stronger preference for ICC among physicians and patients, alternative combinations of attribute levels might be used to compensate and reconfigure a more preferred VC service.

Factors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study

Background

Smart insole technologies that provide biofeedback on foot health can support foot-care in adults with diabetes. However, the factors that influence patient uptake and acceptance of this technology are unclear. Therefore, the aim of this mixed-methods study was to use an established theoretical framework to determine a model of psychosocial factors that best predicts participant intention to use smart insoles.

Methods

Fifty-three adults with diabetes from regional Australia completed the validated Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire. Multiple regression analysis was used to determine the psychosocial factors that best predict behavioural intention to adopt a smart insole. Additionally, a focus group was conducted and thematic analysis was performed to explore barriers and enablers to adopting this technology.

Results

The multiple regression model that best predicted intention to adopt the smart insole (adjusted R² = 0.51, p < 0.001) identified that self-efficacy (β = 0.67, p = 0.001) and attitude (β = 0.72, p < 0.001) were significant predictors of behavioural intention, while effort expectancy (β = − 0.52, p = 0.003) and performance expectancy (β = − 0.40, p = 0.040) were moderating factors. Thematic analysis illustrates the importance of attitude and self-efficacy on participants’ behavioural intentions, influenced by participant’s belief in the device’s clinical efficacy and anticipated effort expectancy.

Conclusions

This mixed-methods study demonstrates that attitude, self-efficacy, performance expectancy and effort expectancy combine to predict intention to adopt smart insole technology. Clinicians should consider these psychosocial factors when they prescribe and implement smart soles with patients at high risk of foot ulceration.

Electronic supplementary material

The online version of this article (10.1186/s13047-019-0340-3) contains supplementary material, which is available to authorized users.

The Changing Paradigm of Health and Mobile Phones

This article describes how widespread adoption of mobile technology in healthcare is an innovation that is inevitable today in both developed and emerging markets around the world. Mobile health services (m-Health) act as an effective, accessible and affordable means of providing healthcare knowledge to users directly from providers. Despite such benefits of m-Health services, rapid adoption is not yet occurring, particularly in emerging markets. The main barrier is mostly the cynical behavior of users regarding this medium of healthcare services. The aim of this article is to examine underlying factors that can influence future use intentions of m-Health services. Conceptual model of the study identifies service qualities like reliability, privacy, responsiveness, empathy and information quality along with facilitating conditions, trust, effort expectancy and performance expectancy as significant constructs that influences users' overall perceptions of m-Health services, along with moderating effects of age and gender. Limitations and implications for practice and research are also discussed.

Perceptions on mobile health in the primary healthcare setting in Belgium

BACKGROUND

The purpose of this study was to examine the perceptions of the adult general population and family physicians in Belgium regarding the use of mobile health applications (apps) in primary care.

METHODS

An online survey composed of multiple-choice questions was administered to the participants. Specific questionnaires for physician and non-physician respondents were used.

RESULTS

One hundred and eleven adult participants from the general population and 23 family physicians completed the survey. In the general population, 41% selected "general health check-ups" as their preferred implementation of mobile health. Among family physicians, 17% preferred to implement mobile health in the first place for the monitoring of chronically ill patients and 17% for the monitoring of recently hospitalised patients.

CONCLUSIONS

Resistance to mobile health services persists in the general population and among family physicians. The quality of the apps and the impersonal nature of the contact are major issue in the future use of mobile health applications.

Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study

Background

Constantly increasing health care costs have led countries and health care providers to the point where health care systems must be reinvented. Consequently, electronic health (eHealth) has recently received a great deal of attention in social sciences in the domain of Internet studies. However, only a fraction of these studies focuses on the acceptability of eHealth, making consumers’ subjective evaluation an understudied field. This study will address this gap by focusing on the acceptance of MyData-based preventive eHealth services from the consumer point of view. We are adopting the term "MyData", which according to a White Paper of the Finnish Ministry of Transport and Communication refers to "1) a new approach, a paradigm shift in personal data management and processing that seeks to transform the current organization centric system to a human centric system, 2) to personal data as a resource that the individual can access and control."

Objective

The aim of this study was to investigate what factors influence consumers’ intentions to use a MyData-based preventive eHealth service before use.

Methods

We applied a new adoption model combining Venkatesh’s unified theory of acceptance and use of technology 2 (UTAUT2) in a consumer context and three constructs from health behavior theories, namely threat appraisals, self-efficacy, and perceived barriers. To test the research model, we applied structural equation modeling (SEM) with Mplus software, version 7.4. A Web-based survey was administered. We collected 855 responses.

Results

We first applied traditional SEM for the research model, which was not statistically significant. We then tested for possible heterogeneity in the data by running a mixture analysis. We found that heterogeneity was not the cause for the poor performance of the research model. Thus, we moved on to model-generating SEM and ended up with a statistically significant empirical model (root mean square error of approximation [RMSEA] 0.051, Tucker-Lewis index [TLI] 0.906, comparative fit index [CFI] 0.915, and standardized root mean square residual 0.062). According to our empirical model, the statistically significant drivers for behavioral intention were effort expectancy (beta=.191, P<.001), self-efficacy (beta=.449, P<.001), threat appraisals (beta=.416, P<.001), and perceived barriers (beta=−.212, P=.009).

Conclusions

Our research highlighted the importance of health-related factors when it comes to eHealth technology adoption in the consumer context. Emphasis should especially be placed on efforts to increase consumers’ self-efficacy in eHealth technology use and in supporting healthy behavior.

Enablers and barriers to using two-way information technology in the management of adults with diabetes: A descriptive systematic review

Background This systematic review aimed to explore the enablers and barriers faced by adults with diabetes using two-way information communication technologies to support diabetes self-management. Methods Relevant literature was obtained from five databases using search strategies combining four major constructs: adults with diabetes, biomedical technology, communication technology and patient utilisation. Results Of 8430 unique articles identified, 48 were included for review. Risk of bias was assessed using either the Newcastle-Ottowa or Cochrane risk of bias assessment tools. Seventy-one percent of studies were of cohort design with the majority of studies assessed at high or unclear risk of bias. Consistently identified barriers included poorly designed interfaces requiring manual data entry and systems that lacked functionalities valued by patients. Commonly cited enablers included access to reliable technology, highly automated data entry and transmission, graphical display of data with immediate feedback, and supportive health care professionals and family members. Conclusions People with diabetes face a number of potentially modifiable barriers in using technology to support their diabetes management. In order to address these barriers, end users should be consulted in the design process and consideration given to theories of technology adoption to inform design and implementation. Systems should be designed to solve clinical or behavioural problems that are identified by patients as priorities. Technology should be as automated, streamlined, mobile, low cost and integrated as possible in order to limit the burden of usage for the patient and maximise clinical usefulness.

Moderating factors influencing adoption of a mobile chronic disease management system in China

Mobile chronic disease management systems (MCDMS) have become increasingly important in recent years, but in China, challenges remain for their adoption. Existing empirical studies have not completely explored the adoption behavior of potential MCDMS users. This article presents a study in which we investigated factors that influence chronically ill patients in China and their families to adopt or decline to use MCDMS. We applied a research model based on the technology acceptance model (TAM) as well as four contextual constructs (perceived disease threat, perceived risk, initial trust, and technology anxiety) to a survey of 279 potential MCDMS service participants in China. Our key findings include: (1) as consistent with current research, both perceived usefulness and perceived ease of use have positive impact on potential users' MCDMS adoption intention; (2) both perceived disease threat and initial trust have positive impact on MCDMS adoption intention; (3) the impact of perceived risk is negative, and technology anxiety has negative impact on perceived ease of use of MCDMS; (4) young people place more importance on their perceptions of usefulness, ease of operation, and disease threat than middle-aged and older users; (5) family members are more influenced by their perception of ease of use and disease threat than chronically ill patients, while chronically ill patients place more importance on perceived usefulness than family members. This article concludes by discussing the implications of our study for research and practice, as well as limitations and future research directions.

A Large-Scale Initiative Inviting Patients to Share Personal Fitness Tracker Data with Their Providers: Initial Results

Background

Personal fitness trackers (PFT) have substantial potential to improve healthcare.

Objective

To quantify and characterize early adopters who shared their PFT data with providers.

Methods

We used bivariate statistics and logistic regression to compare patients who shared any PFT data vs. patients who did not.

Results

A patient portal was used to invite 79,953 registered portal users to share their data. Of 66,105 users included in our analysis, 499 (0.8%) uploaded data during an initial 37-day study period. Bivariate and regression analysis showed that early adopters were more likely than non-adopters to be younger, male, white, health system employees, and to have higher BMIs. Neither comorbidities nor utilization predicted adoption.

Conclusion

Our results demonstrate that patients had little intrinsic desire to share PFT data with their providers, and suggest that patients most at risk for poor health outcomes are least likely to share PFT data. Marketing, incentives, and/or cultural change may be needed to induce such data-sharing.

Patient and provider acceptance of telecoaching in type 2 diabetes: a mixed-method study embedded in a randomised clinical trial

Background

Despite advances in diagnosis and treatment of type 2 diabetes, suboptimal metabolic control persists. Patient education in diabetes has been proved to enhance self-efficacy and guideline-driven treatment, however many people with type 2 diabetes do not have access to or do not participate in self-management support programmes. Tele-education and telecoaching have the potential to improve accessibility and efficiency of care, but there is a slow uptake in Europe. Patient and provider acceptance in a local context is an important pre-condition for implementation. The aim of the study was to explore the perceptions of patients, nurses and general practitioners (GPs) regarding telecoaching in type 2 diabetes.

Methods

Mixed-method study embedded in a clinical trial, in which a nurse-led target-driven telecoaching programme consisting of 5 monthly telephone sessions of +/− 30 min was offered to 287 people with type 2 diabetes in Belgian primary care. Intervention attendance and satisfaction about the programme were analysed along with qualitative data obtained during post-trial semi-structured interviews with a purposive sample of patients, general practitioners (GPs) and nurses. The perceptions of patients and care providers about the intervention were coded and the themes interpreted as barriers or facilitators for adoption.

Results

Of 252 patients available for a follow-up analysis, 97.5 % reported being satisfied. Interviews were held with 16 patients, 17 general practitioners (GPs) and all nurses involved (n = 6). Themes associated with adoption facilitation were: 1) improved diabetes control; 2) need for more tailored patient education programmes offered from the moment of diagnosis; 3) comfort and flexibility; 4) evidence-based nature of the programme; 5) established cooperation between GPs and diabetes educators; and 6) efficiency gains. Most potential barriers were derived from the provider views: 1) poor patient motivation and suboptimal compliance with “faceless” advice; 2) GPs’ reluctance in the area of patient referral and information sharing; 3) lack of legal, organisational and financial framework for telecare.

Conclusions

Nurse-led telecoaching of people with type 2 diabetes was well-accepted by patients and providers, with providers being in general more critical in their reflections. With increasing patient demand for mobile and remote services in healthcare, the findings of this study should support professionals involved in healthcare policy and innovation.

Trial registration

NCT01612520, registered prior to recruitment on 4th June 2012.

Electronic supplementary material

The online version of this article (doi:10.1186/s12911-016-0383-3) contains supplementary material, which is available to authorized users.

Using mobile health technology to deliver decision support for self-monitoring after lung transplantation

BACKGROUND

Lung transplant recipients (LTR) experience problems recognizing and reporting critical condition changes during their daily health self-monitoring. Pocket PATH(®), a mobile health application, was designed to provide automatic feedback messages to LTR to guide decisions for detecting and reporting critical values of health indicators.

OBJECTIVES

To examine the degree to which LTR followed decision support messages to report recorded critical values, and to explore predictors of appropriately following technology decision support by reporting critical values during the first year after transplantation.

METHODS

A cross-sectional correlational study was conducted to analyze existing data from 96 LTR who used the Pocket PATH for daily health self-monitoring. When a critical value is entered, the device automatically generated a feedback message to guide LTR about when and what to report to their transplant coordinators. Their socio-demographics and clinical characteristics were obtained before discharge. Their use of Pocket PATH for health self-monitoring during 12 months was categorized as low (≤25% of days), moderate (>25% to ≤75% of days), and high (>75% of days) use. Following technology decision support was defined by the total number of critical feedback messages appropriately handled divided by the total number of critical feedback messages generated. This variable was dichotomized by whether or not all (100%) feedback messages were appropriately followed. Binary logistic regression was used to explore predictors of appropriately following decision support.

RESULTS

Of the 96 participants, 53 had at least 1 critical feedback message generated during 12 months. Of these 53 participants, the average message response rate was 90% and 33 (62%) followed 100% decision support. LTR who moderately used Pocket PATH (n=23) were less likely to follow technology decision support than the high (odds ratio [OR]=0.11, p=0.02) and low (OR=0.04, p=0.02) use groups. The odds of following decision support were reduced in LTR whose income met basic needs (OR=0.01, p=0.01) or who had longer hospital stays (OR=0.94, p=0.004). A significant interaction was found between gender and past technology experience (OR=0.21, p=0.03), suggesting that with increased past technology experience, the odds of following decision support to report all critical values decreased in men but increased in women.

CONCLUSIONS

The majority of LTR responded appropriately to mobile technology-based decision support for reporting recorded critical values. Appropriately following technology decision support was associated with gender, income, experience with technology, length of hospital stay, and frequency of use of technology for self-monitoring. Clinicians should monitor LTR, who are at risk for poor reporting of recorded critical values, more vigilantly even when LTR are provided with mobile technology decision support.

Acceptance and Use of Mobile Technology for Health Self-Monitoring in Lung Transplant Recipients during the First Year Post-Transplantation

OBJECTIVES

To describe lung transplant recipients (LTRs') acceptance and use of mobile technology for health self-monitoring during the first year post-transplantation, and explore correlates of the use of technology in the 0 to 2, >2 to ≤6, >6 to ≤12, and 0 to 12 months.

METHODS

Secondary analysis of data from 96 LTR assigned to use Pocket PATH(®), a smartphone application, for daily health self-monitoring in a randomized controlled trial. Use of Pocket PATH was categorized as low, moderate, and high use. Proportional odds models for ordinal logistic regression were employed to explore correlates of use of technology.

RESULTS

LTR reported high acceptance of Pocket PATH at baseline. However, acceptance was not associated with actual use over the 12 months (p=0.45~0.96). Actual use decreased across time intervals (p<0.001). Increased self-care agency was associated with the increased odds of higher use in women (p=0.03) and those less satisfied with technology training (p=0.02) in the first 2 months. Higher use from >2 to ≤6 months was associated with greater satisfaction with technology training (OR=3.37, p=0.01) and shorter length of hospital stay (OR=0.98, p=0.02). Higher use from >6 to ≤12 months was associated with older age (OR=1.05, p=0.02), lower psychological distress (OR=0.43, p=0.02), and better physical functioning (OR=1.09, p=0.01). Higher use over 12 months was also associated with older age (OR=1.05, p=0.007), better physical functioning (OR=1.13, p=0.001), and greater satisfaction with technology training (OR=3.05, p=0.02).

CONCLUSIONS

Correlates were different for short- and long-term use of mobile technology for health self-monitoring in the first year post-transplantation. It is important to follow up with LTR with longer hospital stay, poor physical functioning, and psychological distress, providing ongoing education to improve their long-term use of technology for health self-monitoring.

Internet Services for Communicating With the General Practice: Barely Noticed and Used by Patients

Background

The Netherlands is one of the frontrunners of eHealth in Europe. Many general practices offer Internet services, which can be used by patients to communicate with their general practice. In promoting and implementing such services, it is important to gain insight into patients’ actual use and intention toward using.

Objective

The objective of the study is to investigate the actual use and intention toward using Internet services to communicate with the general practice by the general practice population. The secondary objective is to study the factors and characteristics that influence their intention to use such services.

Methods

There were 1500 members of the Dutch Health Care Consumer Panel, age over 18 years, that were invited to participate in this cross-sectional study. People who had contacted their general practitioner at least once in the past year were included. Participants were asked to fill out a questionnaire about the following services: Internet appointment planning, asking questions on the Internet, email reminders about appointments, Internet prescription refill requests, Internet access to medical data, and Internet video consultation. Participants indicated whether they had used these services in the past year, they would like to use them, and whether they thought their general practice had these services. For the first two services, participants rated items based on the unified theory of acceptance and use of technology complemented with additional constructs. These items were divided into six subscales: effort expectancy, performance expectancy, trust, attitude, facilitating conditions, and social influence.

Results

There were 546 participants that were included in the analyses out of 593 who met the inclusion criteria. The participants had a mean age of 53 years (SD 15.4), 43.6% (n=238) were male, and 66.8% (n=365) had at least one chronic illness. Actual use of the services varied between 0% (n=0, video consultation) and 10.4% (n=57, requesting prescription refill by Internet). The proportion of participants with a positive intention to use the service varied between 14.7% (n=80, video consultation) and 48.7% (n=266, Internet access to medical data). For each service, approximately half indicated that they did not know whether the service was available. Univariate logistic regression analyses revealed that all the constructs as well as age, level of education, and Internet usage had a significant association with intention toward using Internet appointment planning and asking questions by Internet.

Conclusions

Internet communication services to contact the general practice are not yet frequently used by this population. Although a substantial number of persons have a positive intention toward using such services, not all people who receive primary care seem willing to use them. The lack of awareness of the availability and functionality of such services might play an important role.

Factors affecting acceptance of smartphone application for management of obesity

Objectives

The factors affecting the acceptance of mobile obesity-management applications (apps) by the public were analyzed using a mobile healthcare system (MHS) technology acceptance model (TAM).

Methods

The subjects who participated in this study were Android smartphone users who had an intent to manage their weight. They used the obesity-management app for two weeks, and then completed an 18-item survey designed to determine the factors influencing the acceptance of the app. Three questions were asked pertaining to each of the following six factors: compatibility, self-efficacy, technical support and training, perceived usefulness, perceived ease of use, and behavior regarding intention to use. Cronbach's alpha was used to assess the reliability of the scales. Pathway analysis was also performed to evaluate the MHS acceptance model.

Results

A total of 94 subjects participated in this study. The results indicate that compatibility, perceived usefulness, and perceived ease of use significantly affected the behavioral intention to use the mobile obesity-management app. Technical support and training also significantly affected the perceived ease of use; however, the hypotheses that self-efficacy affects perceived usefulness and perceived ease of use were not supported in this study.

Conclusions

This is the first attempt to analyze the factors influencing mobile obesity-management app acceptance using a TAM. Further studies should cover not only obesity but also other chronic diseases and should analyze the factors affecting the acceptance of apps among healthcare consumers in general.

Predictive factors of telemedicine service acceptance and behavioral intention of physicians

PURPOSE

Despite the proliferation of telemedicine technology, telemedicine service acceptance has been slow in actual healthcare settings. The purpose of this research is to develop a theoretical model for explaining the predictive factors influencing physicians' willingness to use telemedicine technology to provide healthcare services.

METHODS

We developed the Telemedicine Service Acceptance model based on the technology acceptance model (TAM) with the inclusion of three predictive constructs from the previously published telemedicine literature: (1) accessibility of medical records and of patients as clinical factors, (2) self-efficacy as an individual factor and (3) perceived incentives as regulatory factors. A survey was conducted, and structural equation modeling was applied to evaluate the empirical validity of the model and causal relationships within the model using the data collected from 183 physicians.

RESULTS

Our results confirmed the validity of the original TAM constructs: the perceived usefulness of telemedicine directly impacted the behavioral intention to use it, and the perceived ease of use directly impacted both the perceived usefulness and the behavioral intention to use it. In addition, new predictive constructs were found to have ramifications on TAM variables: the accessibility of medical records and of patients directly impacted the perceived usefulness of telemedicine, self-efficacy had a significant positive effect on both the perceived ease of use and the perceived usefulness of telemedicine, and perceived incentives were found to be important with respect to the intention to use telemedicine technology.

CONCLUSIONS

This study demonstrated that the Telemedicine Service Acceptance model was feasible and could explain the acceptance of telemedicine services by physicians. These results identified important factors for increasing the involvement of physicians in telemedicine practice.