How Helpful and What Is the Quality of Digital Sources of Healthy Lifestyle Information Used by Australian Adolescents? A Mixed Methods Study

To evaluate the digital platforms most used by adolescents for healthy lifestyle information, perceived helpfulness of platform information, helpfulness for positive behaviour changes, and quality of platforms’ lifestyle health information. Mixed-methods study including a cross-sectional online survey and content analysis. Eligible participants were 13–18-years; living in Australia; and had searched online for healthy lifestyle behaviour (nutrition, physical activity, weight management, sleep) information in the previous three months. Survey items examined the use of digital platforms, self-perceived helpfulness, usefulness for positive behaviour, and popular content. Data were analysed using descriptive statistics and ordinal logistic regression models. Content analysis was performed on popular digital content to evaluate expertise, objectivity, transparency, popularity, and relevance. In total, 297 participants completed the survey (62.3% female; 15.8 [SD1.5] years). Seventy-eight percent and 77% of participants reported using websites and social media, respectively, for seeking healthy lifestyle information. Websites and social media were rated as somewhat helpful by 43% and 46% of participants, respectively. Sixty-six percent and 53% of participants agreed/strongly agreed smartphone apps and social media were helpful for positive behaviour change, respectively. Helpfulness did not differ by age or gender. We evaluated 582 popular digital content; 38% were produced by a commercial company. Only 7% of content was from health organisations, 10% from health professionals and only 10% of content was objective, and 14% was transparent. Adolescents extensively utilise websites and social media for health information, yet popular content has limited objectivity and transparency. Governments and health organisations should consider creating age-appropriate digital information for healthy lifestyle behaviours.

How customer-driven and vendor-driven information cues shape a travel app user behaviour?

Purpose This study aims to apply the stimulus-organism-response framework to uncover the underlying mechanism by which the perceived helpfulness of online customer reviews (OCRs) drives behavioural intentions in mobile travel app commerce. Also, the current study explores how vendor-driven perceived usefulness of a product and its attributes influence the mediated relationship between perceived helpfulness of OCRs (OCRs helpfulness) and behavioural intentions. Design/methodology/approach The online survey (n = 151) was used to collect the data. The authors used structural equation modelling and the bias-corrected bootstrap method to test the proposed conceptual model for mediation and moderated-mediation effect. Findings Findings indicate that the perceived OCRs helpfulness has an indirect positive effect, via trust and attitude, on travel app downloading intention. Moreover, results suggest that the presence of vendor cues (vendor-generated informational content about a travel app) does not significantly moderate the mediating effect of perceived OCRs helpfulness on travel app downloading intention. Originality/value The present study reinforces the applicability of the warranting principle in the context of travel app commerce by exploring the relative effectiveness of customer-generated and vendor-generated informational content in influencing travel app downloading intention.

Write Like a Pro or an Amateur? Effect of Medical Language Formality

Past years have seen rising engagement among caregivers in online health communities. Although studies indicate that this caregiver-generated online health information benefits patients, how such information can be perceived easily and correctly remains unclear. This study aims to fill this gap by exploring mechanisms to improve the perceived helpfulness of online health information. We propose a multi-method framework, including a novel Medical-Enriched DEep Learning (MEDEL) feature extraction method, econometric analyses, and a randomized experiment. The results show that when the medical language of health information is informal, the senior care information is more helpful. Our findings provide a theoretical foundation to understand the influence of language formality on many other business communications. Our proposed multi-method approach can also be generalized to investigate research questions involving complex textual features. Forum sites could leverage our proposed approach to improve the helpfulness of online health information and user satisfaction.

Mobile Sensing Apps and Self-management of Mental Health During the COVID-19 Pandemic: Web-Based Survey

Background During the COVID-19 pandemic, people had to adapt their daily life routines to the currently implemented public health measures, which is likely to have resulted in a lack of in-person social interactions, physical activity, or sleep. Such changes can have a significant impact on mental health. Mobile sensing apps can passively record the daily life routines of people, thus making them aware of maladaptive behavioral adjustments to the pandemic. Objective This study aimed to explore the views of people on mobile sensing apps that passively record behaviors and their potential to increase awareness and helpfulness for self-managing mental health during the pandemic. Methods We conducted an anonymous web-based survey including people with and those without mental disorders, asking them to rate the helpfulness of mobile sensing apps for the self-management of mental health during the COVID-19 pandemic. The survey was conducted in May 2020. Results The majority of participants, particularly those with a mental disorder (n=106/148, 72%), perceived mobile sensing apps as very or extremely helpful for managing their mental health by becoming aware of maladaptive behaviors. The perceived helpfulness of mobile sensing apps was also higher among people who experienced a stronger health impact of the COVID-19 pandemic (β=.24; 95% CI 0.16-0.33; P<.001), had a better understanding of technology (β=.17; 95% CI 0.08-0.25; P<.001), and had a higher education (β=.1; 95% CI 0.02-0.19; P=.02). Conclusions Our findings highlight the potential of mobile sensing apps to assist in mental health care during the pandemic.