Background: Electronic personal health records (ePHRs) hold significant potential to improve health management for older adults by enhancing access to medical information and facilitating communication with health care providers. However, usage remains low among individuals aged 65 and older. While existing research has identified barriers such as low self-efficacy, limited digital literacy, and usability challenges, the specific factors influencing the use of ePHRs among older adults are not yet fully understood. Objective: This study integrates the Aging and Technology framework with the Patient Technology Acceptance Model to examine key predictors of ePHR use among older adults, including age, education, issue involvement, performance expectancy, effort expectancy, and self-efficacy, while controlling for demographic factors such as gender, race, and income. Methods: This study utilizes data from the Health Information National Trends Survey (HINTS 5 cycle 3), which includes 532 respondents representing 13,136,180 US adults aged 65 years and older, after applying survey weights. Structural equation modeling was used to analyze the factors influencing the frequency of ePHR access over the past 12 months. Results: The findings indicate that older adults with higher self-efficacy used ePHRs more frequently. Additionally, issue involvement, performance expectancy, and effort expectancy were positively associated with ePHR use. Notably, self-efficacy partially mediated the relationship between age and the frequency of ePHR use. Conclusions: These findings suggest that enhancing self-efficacy, improving usability, and increasing the perceived benefits of ePHRs are critical for boosting usage among older adults. The study underscores the need for targeted interventions to support older users, simplify digital interfaces, and provide accessible educational resources, ultimately contributing to better health outcomes and an improved quality of life for older adults.

As digital content increasingly moves away from free access, microtransactions may provide an alternative. There is a need for research on microtransactions as a general digital content payment mechanism. Businesses can capitalize on this technological advancement by expanding their paid digital content offerings without resorting to subscription-based services. This study examines a taxonomy for microtransactions based on consumer buying behavior, presents business models for microtransaction payment processing, and examines issues with its implementation. Data collected from 180 consumers were analyzed using quantitative and qualitative analyses to assess the receptiveness and perception of microtransactions. The results indicate that consumers are receptive to the concept of microtransactions and are willing to spend on five distinct digital content categories. This study concludes with a discussion of issues that consumers foresee with digital content microtransactions and implications for interested businesses.

Background: Despite its potential to predict and detect early cancer risks, genetic testing remains underused by the public. This study, guided by the health belief model (HBM), examined key factors influencing an individual’s willingness to undergo genetic testing for cancer, with a particular focus on gender, caregiver status, and participation in online social support groups. Objective: This study aimed to explore the factors that can influence the individual’s decision to undergo preventative genetic testing for cancer so that more informed action can be taken to encourage the individuals to engage in preventative health behavior. Methods: This study uses data collected from the 2020 Health Information National Trends Survey (HINTS 5 Cycle 4), which included 2947 respondents representing 199,510,996 US adults aged 18 years and older. Multivariable logistic regression and survey-weighted generalized linear models were applied to examine the relationship between cancer genetic testing and caregiver status, participation in online support groups, gender, and constructs associated with the HBM, while controlling for sociodemographic and health-related characteristics. Results: Our findings show that women are more likely to undergo cancer genetic testing, with gender moderating the influence of perceived susceptibility (β=2.54, P=.03) and severity (β=0.94, P<.050) on testing decisions. In line with the HBM, perceived benefits (β=0.19, P=.03) and cues to action (β=2.86, P<.001) increase the likelihood of testing. Results also show that caregivers of patients with cancer (β=1.25, P=.04) and those actively participating in online health support groups (β=0.47, P=.04) are also more likely to engage in cancer genetic testing. Conclusions: Cancer remains a significant health challenge in the United States, with 1.8 million new cases and 606,520 deaths annually. Early detection is vital for treatment success. This study investigates factors influencing the decision to undergo genetic testing for cancer. The examination of caregiver status and online support groups as influencing factors, along with the HBM, provided a significant theoretical contribution to the health care research domain. Results indicated that caregivers and men should be directly targeted with messaging on genetic cancer screening as a proactive health behavior. Additionally, online support groups can promote early detection and encourage participation in genetic testing. Future research should further explore implementing proactive outreach strategies to encourage wider adoption of genetic testing for cancer.

BACKGROUND Despite its potential to predict and detect early cancer risks, genetic testing remains underutilized by the public. This study, guided by the Health Belief Model, examined key factors influencing an individual’s willingness to undergo genetic testing for cancer, with a particular focus on gender, caregiver status, and participation in online social support groups. OBJECTIVE To identify the key variable that influences Preventative Cancer Genetic Testing Participation METHODS This study uses data collected from the 2020 Health Information National Trends Survey (HINTS 5 Cycle 4) which includes 2,947 respondents representing 199,510,996 U.S. adults aged 18 and older. Multivariable logistic regression and Survey-Weighted Generalized Linear Models (svyglm) were applied to examine the relationship between cancer genetic testing and caregiver status, participation in online support groups, gender, and constructs associated with the Health Belief Model, while controlling for sociodemographic and health-related characteristics. RESULTS Our findings show that women are more likely to undergo cancer genetic testing, with gender moderating the influence of perceived susceptibility (β = 2.54, p < 0.05) and severity (β = 0.94, p < 0.05) on testing decisions. In line with the Health Belief Model, perceived benefits (β = 0.19, p < 0.05) and cues to action (β = 2.86, p < 0.001) increase the likelihood of testing. Results also show that caregivers of cancer patients (β = 1.25, p < 0.05) and those actively participating in online health support groups (β = 0.47, p < 0.05) are also more likely to engage in cancer genetic testing. CONCLUSIONS Cancer remains a significant health challenge in the U.S., with 1.8 million new cases and 606,520 deaths annually. Early detection is vital for treatment success. This study investigates factors influencing the decision to undergo genetic testing for cancer. Targeted campaigns, particularly in online support groups directed at men, can promote early detection and encourage participation in genetic testing. Future research should explore implementing proactive outreach strategies to encourage wider adoption of genetic testing for cancer. CLINICALTRIAL NA

In recent years, online streaming has encountered the challenge of retaining its user base. This study considers the role of transaction cost economics theory in consumer choices to continue subscribing. Participants respond to their top three streaming services, resulting in 797 responses, accounting for multiple selections by each respondent. Respondents could choose their top three services from a list of Netflix, Disney, Hulu, Amazon Prime Video, HBO Max, and Apple TV+. The study’s conclusions highlight the impact of uncertainty, a negative measure of streaming quality, on online subscription-based video streaming. Additionally, asset specificity, reflecting uniqueness and exclusive content, is found to be positively related to continuing a subscription. This research distinguishes itself by examining individuals who are already subscribers to provide insights and guidance through the lens of Transaction Cost Economics, to help marketing professionals seeking a deeper understanding of consumer behavior in the online streaming landscape.

In the original publication (Chaudhary & DaSouza, 2024), there was an error regarding the Institutional Review Board Statement