Social inequalities in health information seeking among young adults in Montreal

Rational or altruistic: the impact of social media information exposure on Chinese youth's willingness to donate blood

Background

Non-remunerated blood donation is the main approach for various medical institutions to get the source of blood supply, but the blood supply shortage is still a problem in today's society. Social media has become the main approach of information acquisition for youth groups nowadays, and the information on social media will have an impact on people's behavioral decisions. The objective of this study was therefore to investigate the correlation between social media exposure to relevant information about blood donation and the willingness of youths to donate blood.

Methods

We collected data from 455 questionnaires through an online questionnaire and structural equation modeling was constructed for validation. Data were analyzed for reliability, validity, and demographic differences using IBM-SPSS 26.0, and IBM-SPSS-AMOS 26.0 was used for model fit analysis and path analysis.

Results

The results of the study showed that there was a positive correlation between social media exposure to relevant blood donation information and willingness to donate blood (β = 0.262, p < 0.001), altruism (β = 0.203, p < 0.001) and self-efficacy (β = 0.170, p < 0.001). While there was also a positive correlation between attitude toward blood donation and self-efficacy (β = 0.560, p < 0.001), there was no positive correlation between it and willingness to donate blood (β = -0.180, p = 0.786). There was also a positive correlation between altruism and willingness to donate blood (β = 0.150, p < 0.05) and attitude toward blood donation (β = 0.150, p < 0.001). Similarly, there was a positive correlation between self-efficacy and willingness to donate blood (β = 0.371, p < 0.001).

Conclusion

Exposure to more information related to blood donation on social media can increase the willingness of the youth population to donate blood, while exposure to information related to altruism and self-efficacy on social media can also enhance young people's attitudes toward blood donation, while further strengthening their willingness to donate.

Information scanning in the COVID-19 pandemic: a test and expansion of the channel complementarity theory using latent class analysis

BACKGROUND

During health crisis, individuals need information to comprehend their circumstances. Channel complementarity theory posits that in meeting their informational needs, people will use different sources in a complementary fashion. This paper puts to test the main tenet of channel complementarity theory by focusing on information scanning (i.e. routine health information exposure) in the context of the COVID-19 pandemic in Chile.

METHOD

A survey was conducted among a sample of Chilean adults (N = 2,805). The questionnaire addressed information scanning across six sources (television, radio, internet, social media, family, and friends or coworkers) and explores how socioeconomic and demographic variables, as well as COVID-19 perceived risk related to scanning. Latent class analysis was employed to identify patterns of complementarity across channels.

RESULTS

The analysis yielded a solution of five classes, namely 'high complementarity and high frequency' (21%), 'high complementarity and low frequency' (34%), 'high frequency on television and digital media' (19%), 'mass media predominant' (11%), and 'no scanning' (15%). Educational attainment, age, and COVID-19 perceived risk were associated with scanning.

CONCLUSIONS

Television was a central channel for information scanning during the pandemic in Chile and more than half of participants scanned COVID-19 information complementarily. Our findings expand channel complementarity theory to information scanning in a non-US context and provide guidelines for designing communication interventions aiming at informing individuals during a global health crisis.

Engaging patients and citizens in digital health technology development through the virtual space

Digital technologies are increasingly empowering individuals to take charge of their health and improve their well-being. However, there are disparities in access related to demographic, economic, and sociocultural factors that result in exclusion from the use of digital technologies for different groups of the population. The development of digital technology in health is a powerful lever for improving care and services, but also brings risks for certain users in vulnerable situations. Increased digital health inequalities are associated with limited digital literacy, lack of interest, and low levels of self-efficacy in using technology. In the context of the COVID-19 pandemic and post-pandemic healthcare systems, the leap to digital is essential. To foster responsible innovation and optimal use of digital health by all, including vulnerable groups, we propose that patient and citizen engagement must be an essential component of the research strategy. Patient partners will define expectations and establish research priorities using their experiential knowledge, while benefiting from rich exposure to the research process to increase their self-efficacy and digital literacy. We will support this proposition with an operationalised example aiming to implement a Virtual Community of Patients and Citizens Partners (COMVIP), a digital tool co-created with patients and public experts, as active team members in research. Founded on the principles of equity, diversity and inclusion, this base of citizen expertise will assemble individuals from different backgrounds and literacy levels living in vulnerable situations to acquire knowledge, and share their experiences, while contributing actively in the co-development of innovative strategies and health technology assessment.

Critical health literacy: reflection and action for health

Health literacy research is growing rapidly and broadly; however, conceptual advances in critical health literacy (CHL) seem hampered by a lack of a clear definition. In this paper, we refer to key features of the concept as identified in earlier works, offer a new definition of CHL and briefly discuss its theoretical roots. Reflection and action are suggested as the two constituent components of CHL. Consequences for future research are also discussed.

Health information-seeking behavior associated with linguistic group membership: latent class analysis of a population-based cross-sectional survey in Italy, August to September 2014

Background

Evidence suggests an increasing demand for culturally and linguistically responsive disease prevention programs and health interventions. It is important to understand how individuals seek health information to address the potential needs of the health care system.

Methods

Latent classes of health information-seeking behaviors in a linguistically mixed region of Italy were explored through a population-based telephone survey of ten health information sources. Data were collected in August and September 2014 from 504 adults in South Tyrol, Italy (primary language German, 68%; Italian, 28%), and analyzed using latent class analysis and latent class multinomial logistic regression models.

Results

Three classes of health information-seeking behaviors emerged: “multidimensional” (23.3%), “interpersonal” (38.6%) and “technical/online” (38.1%). Compared to the “technical/online” class, “interpersonal” class members were older, had lower education than high school, and were less likely to be of Italian ethnicity. “Multidimensional” class members were more likely to be female, older, and of German ethnicity than those in the “technical/online” class.

Conclusions

Linguistic ethnicity explains membership in classes on health information-seeking behavior. Policymakers and healthcare providers should consider the health information-seeking behaviors of population subgroups to promote health and medical care in linguistic minority groups.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13690-022-00847-w.

Sociodemographic characteristics associated with alcohol consumption and alcohol-related consequences, a latent class analysis of The Norwegian WIRUS screening study

BACKGROUND

For alcohol, the association with socioeconomic status (SES) is different than for other public health challenges - the associations are complex, and heterogeneous between socioeconomic groups. Specifically, the relationship between alcohol consumption per se and adverse health consequences seems to vary across SES. This observation is called the 'alcohol harm paradox'. This study aims to describe different patterns of alcohol use and potential problems. Next, the associations between sub-groups characterized by different patterns of alcohol use and potential problems, and age, gender, educational level, full-time employment, occupational level and income is analysed.

METHODS

Employing data from the ongoing cross-sectional WIRUS-study, N = 4311 participants were included in the present study. Individual response patterns of the ten-item Alcohol Use Disorders Identification Test (AUDIT) were analysed and latent class analysis (LCA) was used to identify latent groups. Next, the associations between the classes identified in the best fitting LCA-model and sociodemographic factors were analysed and presented.

RESULTS

We identified three classes based on the response patterns on AUDIT. Class 1 was characterised by low-level alcohol consumption and very low probability of negative alcohol-related consequences related to their alcohol consumption. Class 2 was characterised by a higher level of consumption, but despite this, class 2 also had a relatively low probability of reporting negative alcohol-related consequences. Class 3, however, was characterised by high levels of alcohol consumption, and a high probability of reporting negative consequences of their consumption. The classes identified were systematically differentially associated with the included measures of SES, with class 3 characterised by younger age, more males and lower educational attainment.

CONCLUSIONS

Our findings highlight the interconnectedness of alcohol consumption and alcohol-related consequences. Furthermore, the identified classes and SES yields further insights into to intricate relationship between various socioeconomic factors, alcohol use patterns and related negative consequences.

Correlates of health information seeking between adults diagnosed with and without cancer

PURPOSE

To examine predictors of information seeking behavior among individuals diagnosed with cancer versus those without.

METHODS

Cross-sectional data from the Health Information National Trends Survey 4 Cycles 1-3 (October 2011 to November 2013) were analyzed for 10,774 survey respondents aged ≥18 years. Binary logistic regression was used to examine the effect of socio-demographic and behavioral factors on health information seeking.

RESULTS

Cancer diagnosis did not predict health information seeking. However, respondents diagnosed with cancer were more likely to seek health information from a healthcare practitioner. Compared to males, females were more likely to seek health information irrespective of cancer diagnosis. Regardless of cancer diagnosis, those without a regular healthcare provider were less likely to seek health information. Likelihood of seeking health information declined across education strata, and significantly worsened among respondents without high school diplomas irrespective of cancer diagnosis.

CONCLUSIONS

Respondents sought health information irrespective of cancer diagnosis. However, the source of health information sought differed by cancer diagnosis. Gender, education, and having a regular healthcare provider were predictors of health information seeking. Future health communication interventions targeting cancer patients and the general public should consider these findings for tailored interventions to achieve optimal results.