scholarly journals Fitness Tracker Information and Privacy Management: Empirical Study

10.2196/23059 ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. e23059
Author(s):  
Mohamed Abdelhamid
Keyword(s):  
Health Care Providers ◽  
Perceived Risk ◽  
Structural Equation ◽  
Amazon Mechanical Turk ◽  
Equation Modeling ◽  
Calorie Intake ◽  
Privacy Management ◽  
Health Providers ◽  
Care Providers ◽  
Fitness Trackers

Background Fitness trackers allow users to collect, manage, track, and monitor fitness-related activities, such as distance walked, calorie intake, sleep quality, and heart rate. Fitness trackers have become increasingly popular in the past decade. One in five Americans use a device or an app to track their fitness-related activities. These devices generate massive and important data that could help physicians make better assessments of their patients’ health if shared with health providers. This ultimately could lead to better health outcomes and perhaps even lower costs for patients. However, sharing personal fitness information with health care providers has drawbacks, mainly related to the risk of privacy loss and information misuse. Objective This study investigates the influence of granting users granular privacy control on their willingness to share fitness information. Methods The study used 270 valid responses collected from Mtrurkers through Amazon Mechanical Turk (MTurk). Participants were randomly assigned to one of two groups. The conceptual model was tested using structural equation modeling (SEM). The dependent variable was the intention to share fitness information. The independent variables were perceived risk, perceived benefits, and trust in the system. Results SEM explained about 60% of the variance in the dependent variable. Three of the four hypotheses were supported. Perceived risk and trust in the system had a significant relationship with the dependent variable, while trust in the system was not significant. Conclusions The findings show that people are willing to share their fitness information if they have granular privacy control. This study has practical and theoretical implications. It integrates communication privacy management (CPM) theory with the privacy calculus model.

scholarly journals Fitness Tracker Information and Privacy Management: Empirical Study (Preprint)

2020 ◽  
Author(s):  
Mohamed Abdelhamid
Keyword(s):  
Health Care Providers ◽  
Perceived Risk ◽  
Structural Equation ◽  
Amazon Mechanical Turk ◽  
Equation Modeling ◽  
Calorie Intake ◽  
Privacy Management ◽  
Health Providers ◽  
Care Providers ◽  
Fitness Trackers

BACKGROUND Fitness trackers allow users to collect, manage, track, and monitor fitness-related activities, such as distance walked, calorie intake, sleep quality, and heart rate. Fitness trackers have become increasingly popular in the past decade. One in five Americans use a device or an app to track their fitness-related activities. These devices generate massive and important data that could help physicians make better assessments of their patients’ health if shared with health providers. This ultimately could lead to better health outcomes and perhaps even lower costs for patients. However, sharing personal fitness information with health care providers has drawbacks, mainly related to the risk of privacy loss and information misuse. OBJECTIVE This study investigates the influence of granting users granular privacy control on their willingness to share fitness information. METHODS The study used 270 valid responses collected from Mtrurkers through Amazon Mechanical Turk (MTurk). Participants were randomly assigned to one of two groups. The conceptual model was tested using structural equation modeling (SEM). The dependent variable was the intention to share fitness information. The independent variables were perceived risk, perceived benefits, and trust in the system. RESULTS SEM explained about 60% of the variance in the dependent variable. Three of the four hypotheses were supported. Perceived risk and trust in the system had a significant relationship with the dependent variable, while trust in the system was not significant. CONCLUSIONS The findings show that people are willing to share their fitness information if they have granular privacy control. This study has practical and theoretical implications. It integrates communication privacy management (CPM) theory with the privacy calculus model.

scholarly journals Attitudes toward Health Systems Financing in Chile

2021 ◽  
Vol 58 ◽  
pp. 004695802110201
Author(s):  
Pablo A. González ◽  
Laura L. Gutiérrez ◽  
Juan Carlos Oyanedel ◽  
Héctor Sánchez-Rodríguez
Keyword(s):  
Health Systems ◽  
Health Care Providers ◽  
Structural Equation ◽  
Public Attitudes ◽  
Equation Modeling ◽  
Care Providers ◽  
Public Provision ◽  
The Public ◽  
People’S Attitudes ◽  
Willingness To Contribute

This article presents an exploratory model to classify public attitudes towards health systems financing and organization. It comprises 5 factors (pay-as-you-use, solidarity, willingness to contribute, mixed financing, and public provision) measured by 17 indicators, selected through Exploratory Structural Equation Modeling (ESEM) applied to a sample of Chilean adults. Based on this model, cluster analysis proposed 2 groups: “Taxes-public” and “Insurance-choice,” representing 47% and 53% of interviewees, respectively. The results show differences between groups concerning the evaluation of both health care providers and insurers. The second cluster tends to evaluate them more harshly, showing less willingness to contribute further, less solidarity, more agreement with the current financing arrangement in terms of the mixture and its insurance (as opposed to purchasing of service based on health problems), and more support for choice of provider. These results highlight the need to consider people’s attitudes in the public discussion of health systems financing.

scholarly journals Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mohd Idzwan Mohd Salleh ◽  
Rosni Abdullah ◽  
Nasriah Zakaria
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Structural Equation ◽  
Care Delivery ◽  
Primary Care Providers ◽  
Equation Modeling ◽  
System Quality ◽  
Care Providers ◽  
Knowledge Quality ◽  
Electronic Health

Abstract Background The Ministry of Health of Malaysia has invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evaluating whether the system has been effectively utilized is necessary, particularly regarding how it predicts the post-implementation primary care providers’ performance impact. Methods Convenience sampling was employed for data collection in three government hospitals for 7 months. A standardized effectiveness survey for EHR systems was administered to primary health care providers (specialists, medical officers, and nurses) as they participated in medical education programs. Empirical data were assessed by employing partial least squares-structural equation modeling for hypothesis testing. Results The results demonstrated that knowledge quality had the highest score for predicting performance and had a large effect size, whereas system compatibility was the most substantial system quality component. The findings indicated that EHR systems supported the clinical tasks and workflows of care providers, which increased system quality, whereas the increased quality of knowledge improved user performance. Conclusion Given these findings, knowledge quality and effective use should be incorporated into evaluating EHR system effectiveness in health institutions. Data mining features can be integrated into current systems for efficiently and systematically generating health populations and disease trend analysis, improving clinical knowledge of care providers, and increasing their productivity. The validated survey instrument can be further tested with empirical surveys in other public and private hospitals with different interoperable EHR systems.

scholarly journals Effect of Personnel Care Quality of Private Healthcare Providers on Arab Patients’ Satisfaction and Word-of-Mouth Communication:An Empirical Research in India

2019 ◽  
Vol 9 (1) ◽  
pp. 5374-5383
Keyword(s):  
Health Care Providers ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Healthcare Providers ◽  
Care Quality ◽  
Equation Modeling ◽  
Care Providers ◽  
Patients Satisfaction ◽  
Private Healthcare

Personnel quality in service industry is a significant factor as it interacts directly with customers. Thus, the understanding of personnel quality is an important aspect for strategies’ development and implementation to enhance the service delivery process. In the healthcare and medical tourism industries, personnel quality such as quality of doctors, nurses, administrative staff and interpreters play a major role in delivering good service to patients. Generally, there are studies relating to quality of service based on selected dimensions and its effects on patients’ satisfaction and word-of-mouth. However, studies focusing on personnel quality and its impact on the satisfaction and word-of-mouth of patients are still scarce. Hence, the present research aims to measure perspectives of Arab patients concerning the personnel quality of health care providers, satisfaction and word-of-mouth of patients in Indian private hospitals. To achieve this aim, a required data was collected from 335 Arab patients though valid and reliable structural questionnaire. Appropriate statistical methods including Structural Equation Modeling (SEM) were applied in the present research to analyze the collected data and to examine the proposed model and hypotheses. Based on the analysis, it was found that the dimensions of doctors’ quality and nurses’ quality were significant, whereas the dimensions of administrative staffs’ quality and interpreters’ quality were not significant to predict the satisfaction and word-of-mouth of Arab patient. Thus, the results of this research can assist private healthcare providers to take appropriate policy decisions.

scholarly journals Evaluating the Effects of Electronic Health Records System Adoption on the Performance of Malaysian Health Care Providers

2020 ◽  
Author(s):  
Mohd Idzwan Mohd Salleh ◽  
Rosni Abdullah ◽  
Nasriah Zakaria
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Structural Equation ◽  
Care Delivery ◽  
Equation Modeling ◽  
System Quality ◽  
Care Providers ◽  
Coordinated Care ◽  
Knowledge Quality ◽  
Electronic Health

Abstract Background: The Ministry of Health of Malaysia has invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evaluating whether the system has been effectively utilized is necessary, particularly regarding how it predicts the work performance of health care providers. Methods: Convenience sampling was employed for data collection in three government hospitals for seven months. A standardized efficacy survey for EHR systems was administered to primary health care providers (specialists, medical officers, and nurses) as they participated in medical education programs. Empirical data were assessed by employing partial least squares-structural equation modeling for hypothesis testing.Results: The results demonstrated that knowledge quality had the highest score for predicting performance and had a large effect size, whereas system compatibility was the strongest component of system quality. The findings indicated that EHR systems supported the clinical tasks and workflows of care providers, which increased system quality, whereas increased quality of knowledge improved user performance. Conclusion: Given these findings, knowledge quality and effective use should be incorporated into the evaluation of EHR system efficacy in health institutions. Data mining features can be integrated into current systems for easily and systematically generating health populations and disease trend analysis, improving clinical knowledge of care providers and aiding in maintaining their productivity. The validated survey instrument can be further tested with empirical surveys in other public and private hospitals with different interoperable EHR systems.

Social Support, Sense of Coherence, and Self-Management among Hemodialysis Patients

2021 ◽  
pp. 019394592199664
Author(s):  
Yuan-yuan Song ◽  
Lin Chen ◽  
Wen-xiu Wang ◽  
Dong-ju Yang ◽  
Xiao-lian Jiang
Keyword(s):  
Social Support ◽  
Health Care Providers ◽  
Sense Of Coherence ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Hemodialysis Patients ◽  
Self Management ◽  
Equation Modeling ◽  
Care Providers ◽  
Cross Sectional

Self-management is essential for patients who require regular hemodialysis treatment. This study aimed to explore the relationships between social support, sense of coherence (SOC), and self-management in hemodialysis patients and to examine whether SOC plays a mediating role. In a cross-sectional study, 402 hemodialysis patients from four tertiary hospitals were recruited. Data were analyzed using structural equation modeling. Social support, SOC, and self-management were significantly correlated with each other. The proposed model provided a good fit to the data. Social support had a direct effect on self-management and SOC, partially mediated the effect of social support on self-management (β = 0.248, p = 0.001). Social support and SOC explained 69% of the variance in self-management. Our findings indicate that health care providers can enhance social support with an emphasis on strengthening SOC strategies to better improve self-management in hemodialysis patients.

scholarly journals The Impact of Portal Satisfaction on Portal Use and Health-Seeking Behavior: Structural Equation Analysis

10.2196/16260 ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. e16260
Author(s):  
Reginald A Silver ◽  
Chandrasekar Subramaniam ◽  
Antonis Stylianou
Keyword(s):  
Technology Acceptance ◽  
Health Care Providers ◽  
Structural Equation ◽  
Equation Modeling ◽  
Patient Portal ◽  
Care Providers ◽  
Health Seeking ◽  
Health Seeking Behavior ◽  
Seeking Behavior ◽  
The Impact

Background Our study addresses a gap in the modern information systems (IS) use literature by investigating factors that explain patient portal satisfaction (SWP) and perceptions about health-seeking behavior (HSB). A novel feature of our study is the incorporation of actual portal use data rather than the perceptions of use intention, which prevails in the modern IS literature. Objective This study aimed to empirically validate factors that influence SWP as an influencing agent on portal use and HSB. Our population segment was comprised of college students with active patient portal accounts. Methods Using web-based survey data from a population of portal users (n=1142) in a university health center, we proposed a theoretical model that adapts constructs from the Technology Acceptance Model by Davis, the revised Technology Adoption Model by Venkatesh, the Unified Theory of the Acceptance and Use of Technology 2, and the Health Belief Model by Rosenstock et al. We validated our model using structural equation modeling techniques. Results Our model explained nearly 65% of the variance in SWP (R2=0.6499), nearly 33% of the variance in portal use (R2=0.3250), and 29% of the variance in HSB (R2=0.2900). Statistically significant antecedents of SWP included social influence (beta=.160, t499=6.145), habit (beta=.114, t499=4.89), facilitating conditions (beta=.062, t499=2.401), effort expectancy (beta=.311, t499=11.149), and performance expectancy (beta=.359, t499=11.588). SWP influenced HSB (beta=.505, t499=19.705) and portal use (beta=.050, t499=2.031). We did not find a statistically significant association between portal use and HSB (beta=.015, t499=0.513). Perceived severity significantly influenced HSB (beta=.129, t499=4.675) but not portal use (beta=.012, t499=.488). Conclusions Understanding the importance of SWP and the role it plays in influencing HSB may point to future technology design considerations for information technology developers and health care providers. We extend current Expectancy Confirmation Theory research by finding a positive association between SWP and portal use.

scholarly journals Evaluating the Effects of Electronic Health Records System Adoption on the Performance of Malaysian Health Care Providers

2021 ◽  
Author(s):  
Mohd Idzwan Mohd Salleh ◽  
Rosni Abdullah ◽  
Nasriah Zakaria
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Structural Equation ◽  
Care Delivery ◽  
Primary Care Providers ◽  
Equation Modeling ◽  
System Quality ◽  
Care Providers ◽  
Knowledge Quality ◽  
Electronic Health

Abstract Background: The Ministry of Health of Malaysia has invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evaluating whether the system has been effectively utilized is necessary, particularly regarding how it predicts the post-implementation primary care providers’ performance impact. Methods: Convenience sampling was employed for data collection in three government hospitals for seven months. A standardized efficacy survey for EHR systems was administered to primary health care providers (specialists, medical officers, and nurses) as they participated in medical education programs. Empirical data were assessed by employing partial least squares-structural equation modeling for hypothesis testing.Results: The results demonstrated that knowledge quality had the highest score for predicting performance and had a large effect size, whereas system compatibility was the strongest component of system quality. The findings indicated that EHR systems supported the clinical tasks and workflows of care providers, which increased system quality, whereas increased quality of knowledge improved user performance. Conclusion: Given these findings, knowledge quality and effective use should be incorporated into the evaluation of EHR system efficacy in health institutions. Data mining features can be integrated into current systems for easily and systematically generating health populations and disease trend analysis, improving clinical knowledge of care providers and aiding in maintaining their productivity. The validated survey instrument can be further tested with empirical surveys in other public and private hospitals with different interoperable EHR systems.

scholarly journals Mandatory HIV testing in China: the perception of health-care providers

2007 ◽  
Vol 18 (7) ◽  
pp. 476-481 ◽  
Author(s):  
Li Li ◽  
Zunyou Wu ◽  
Sheng Wu ◽  
Sung-Jae Lee ◽  
Mary Jane Rotheram-Borus ◽  
...  
Keyword(s):  
Health Care ◽  
Hiv Testing ◽  
Health Care Providers ◽  
Perceived Risk ◽  
Ethical Issues ◽  
Service Providers ◽  
Risk Behaviour ◽  
People Living With Hiv ◽  
Care Providers ◽  
Hiv Aids

Health-care providers in China are facing an exponential increase in HIV testing and HIV-positive patients. A total of 1101 service providers were recruited to examine attitudes toward people living with HIV/AIDS (PLWHA) in China. Logistic regression models were used to assess factors associated with providers' attitudes toward mandatory HIV testing. Providers were most likely to endorse mandatory HIV testing for patients with high-risk behaviour and for all patients before surgery. Over 43% of providers endorsed mandatory testing for anyone admitted to hospital. Controlling for demographics, multivariate analyses indicated that providers with higher perceived risk of HIV infection at work, higher general prejudicial attitudes toward PLWHA, and previous contact with HIV patients were more likely to endorse mandatory HIV testing for anyone admitted to hospital. Results underscore the importance of implementing universal precautions in health-care settings and call attention to social and ethical issues associated with HIV/AIDS control and treatment in China.

Konsekuensi Green Trust Terhadap Green Perceived Value, Green Perceived Risk dan Green Repurchase Intention

2020 ◽  
Vol 19 (2) ◽  
pp. 62-74
Author(s):  
Destya Lisnaningrum ◽  
Sabihaini Sabihaini ◽  
Abdul Ghofar
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Perceived Value ◽  
The Body ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Sample Collection ◽  
Body Shop ◽  
The Body Shop ◽  
Green Trust

This study determine the effect of green perceived value and green perceived risk on green repurchase intention mediated by green trust in customers of The Body Shop products in the Special Region of Yogykarta. The independent variables are green perceived value and green perceived risk. The dependent variable is a green repurchase intention. Green trust is a mediating variable. The population in this study are customers of The Body Shop products. Sample collection is done by area sampling techniques by grouping DIY into 5 groups, namely Bantul, Gunungkidul, Kota Yogyakarta, Kulon Progo, Sleman and the purposive sampling with the criteria of having made at least 2 purchases of The Body Shop products number of 150 respondents. The data analysis method used in this study is structural equation modeling (SEM). The results of this study are If consumers feel the benefits of a product towards the environment is high, it will increase trust and repurchase in the product. If consumers have a negative perception of a product that is high it will reduce trust and reduce interest in repurchasing the product. Consumer trust in products can mediate consumer ratings of the benefits received, negative perceptions and repurchase in the product.

Sign in / Sign up

Export Citation Format

Share Document