What are mass media interventions made of? Exploring the active content of interventions designed to increase HIV testing in gay men within a systematic review

Effective health communication depends on the interaction of message source and content: two experiments on adherence to COVID-19 measures in Türkiye

OBJECTIVE

Following the COVID-19 outbreak, authorities recommended preventive measures to reduce infection rates. However, adherence to calls varied between individuals and across cultures. To determine the characteristics of effective health communication, we investigated three key features: message source, content, and audience.

METHODS

Using a pre-test and two experiments, we tested how message content (emphasizing personal or social benefit), audience (individual differences), message source (scientists or state officials), and their interaction influence adherence to preventive measures. Using fliers advocating preventive measures, Experiment 1 investigated the effects of message content and examined the moderator role of individual differences. Experiment 2 presented the messages using news articles and manipulated sources.

RESULTS

Study 1 found decreasing adherence over time, with no significant impact from message content or individual differences. Study 2 found messages emphasizing 'protect yourself' and 'protect your country' to increase intentions for adherence to preventive measures. It also revealed an interaction between message source and content whereby messages emphasizing personal benefit were more effective when they came from healthcare professionals than from state officials. However, message source and content did not affect vaccination intentions or donations for vaccine research.

CONCLUSION

Effective health communication requires simultaneous consideration of message source and content.

Research on the barriers to accessing sexual healthcare for sexually diverse Muslim men: protocol for a scoping review

INTRODUCTION

Sexually diverse Muslim men are seen to be at a higher risk for HIV and other sexually transmitted infections due to their limited access to sexual healthcare services. We outline a protocol to conduct a scoping review of research on the barriers that may impede these men's access to sexual healthcare.

METHODS AND ANALYSIS

To conduct this scoping review, we will follow the methodological framework developed by Arksey and O'Malley and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses' extension for scoping reviews. To classify the barriers to sexual healthcare, we will employ Bronfenbrenner's socioecological model as a conceptual framework. We will conduct a literature search via Medline, Embase and Global Health (OVID); Scopus; CINAHL on EBSCOhost along with several other EBSCOhost databases (Academic Search Complete, Canadian Reference Centre, Alternative Press Index, Family & Society Studies Worldwide, Social Work Abstracts) and Google Scholar, published until November 2023. Journal articles, published in the English language, describing quantitative and qualitative research on sexual healthcare access barriers for sexually diverse Muslim men will be included in the review. Commentaries and correspondences, along with grey literature including research reports and conference abstracts, as well as studies that do not include men with the Muslim faith, will be considered ineligible. Following screening of titles and abstracts, we will conduct a full-text screening to determine the final number of studies to be included in the review. A Microsoft Excel spreadsheet will be used to extract study characteristics, and information on sexual healthcare access barriers will be classified according to the socioecological model's core concepts.

ETHICS AND DISSEMINATION

Our review does not require ethics approval. We will disseminate the review findings through peer-reviewed academic journals, seminars and conference presentations.

A call for action: Educating pharmacists and pharmacy students in behaviour change techniques

The increasing impact of chronic disease, including cancer and heart disease on mortality signifies a need for the upskilling of health professionals in health behaviour change. Solely providing education and information to patients is generally not sufficient to change behaviour, and for any change to be sustained. The nature of pharmaceutical practice allows pharmacists to have frequent contact with patients in the community. Historically, pharmacists have often effectively engaged with patients to assist with behaviour change initiatives related to smoking cessation, weight loss or medication adherence. Unfortunately, such initiatives do not work for everyone, and more tailored and varied interventions are urgently needed to reduce the effects of chronic disease. In addition, with greater inaccessibility to hospitals and GP's (e.g., appointment wait times), it is imperative that pharmacists are upskilled in providing opportunistic health behaviour change techniques and interventions. Pharmacists need to practice to their full scope consistently and confidently, including the use of behavioural interventions. The following commentary therefore describes and provides recommendations for the upskilling of pharmacists and pharmacy students in opportunistic behaviour change. We outline nine key evidence-based behaviour change techniques, the active-ingredients of a behaviour change intervention, that are relevant to common encounters in professional practice by pharmacists, such as improving adherence to medications/treatments and health promotion initiatives. These include social support (practical and emotional), problem solving, anticipated regret, habit formation, behaviour substitution, restructuring the environment, information about others' approval, pros and cons, and monitoring and providing feedback on behaviour. Recommendations are then provided for how this upskilling can be taught to pharmacists and pharmacy students, as well as how they can use these techniques in their everyday practice.

Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis

Background

Mental disorders (MDs) impose heavy burdens on health care (HC) systems and affect a growing number of people worldwide. The use of mobile health (mHealth) apps empowered by artificial intelligence (AI) is increasingly being resorted to as a possible solution.

Objective

This study adopted a topic modeling (TM) approach to investigate the public trust in AI apps in mental health care (MHC) by identifying the dominant topics and themes in user reviews of the 8 most relevant mental health (MH) apps with the largest numbers of reviewers.

Methods

We searched Google Play for the top MH apps with the largest numbers of reviewers, from which we selected the most relevant apps. Subsequently, we extracted data from user reviews posted from January 1, 2020, to April 2, 2022. After cleaning the extracted data using the Python text processing tool spaCy, we ascertained the optimal number of topics, drawing on the coherence scores and used latent Dirichlet allocation (LDA) TM to generate the most salient topics and related terms. We then classified the ascertained topics into different theme categories by plotting them onto a 2D plane via multidimensional scaling using the pyLDAvis visualization tool. Finally, we analyzed these topics and themes qualitatively to better understand the status of public trust in AI apps in MHC.

Results

From the top 20 MH apps with the largest numbers of reviewers retrieved, we chose the 8 (40%) most relevant apps: (1) Wysa: Anxiety Therapy Chatbot; (2) Youper Therapy; (3) MindDoc: Your Companion; (4) TalkLife for Anxiety, Depression & Stress; (5) 7 Cups: Online Therapy for Mental Health & Anxiety; (6) BetterHelp-Therapy; (7) Sanvello; and (8) InnerHour. These apps provided 14.2% (n=559), 11.0% (n=431), 13.7% (n=538), 8.8% (n=356), 14.1% (n=554), 11.9% (n=468), 9.2% (n=362), and 16.9% (n=663) of the collected 3931 reviews, respectively. The 4 dominant topics were topic 4 (cheering people up; n=1069, 27%), topic 3 (calming people down; n=1029, 26%), topic 2 (helping figure out the inner world; n=963, 25%), and topic 1 (being an alternative or complement to a therapist; n=870, 22%). Based on topic coherence and intertopic distance, topics 3 and 4 were combined into theme 3 (dispelling negative emotions), while topics 2 and 1 remained 2 separate themes: theme 2 (helping figure out the inner world) and theme 1 (being an alternative or complement to a therapist), respectively. These themes and topics, though involving some dissenting voices, reflected an overall high status of trust in AI apps.

Conclusions

This is the first study to investigate the public trust in AI apps in MHC from the perspective of user reviews using the TM technique. The automatic text analysis and complementary manual interpretation of the collected data allowed us to discover the dominant topics hidden in a data set and categorize these topics into different themes to reveal an overall high degree of public trust. The dissenting voices from users, though only a few, can serve as indicators for health providers and app developers to jointly improve these apps, which will ultimately facilitate the treatment of prevalent MDs and alleviate the overburdened HC systems worldwide.

Inequalities in Trust Levels and Compliance With Physical Distancing During COVID-19 Outbreaks: Comparing the Arab Minority and Jewish Populations in Israel

Objectives: This study explores associations between trust in directives and compliance with physical distancing by comparing two populations in Israel. Methods: Following two lockdowns, we conducted two cross-sectional surveys among the Arab minority and Jewish citizens of Israel (first survey, N = 613; second survey, N = 542). We conducted multivariable logistic regression analyses for the association between trust and compliance with physical distancing separately for each group in each survey. Results: In both surveys trust levels were significantly lower among Arabs than Jews (p < 0.001). Compared to Jews, Arabs were less likely to report compliance with physical distancing in the first and second surveys (OR = 0.52, 95% CI 0.32-0.84 and OR = 0.62, 95% CI 0.39-0.98, respectively). In both surveys trusting the directives was an important determinant of compliance with physical distancing among Jews only. Conclusion: Our findings indicate that momentum is important in building and maintaining public trust and compliance during pandemics. Policymakers should note the lack of trust among Arabs, which warrants further research and interventions.

A qualitative examination of affect and ideology within mass media interventions to increase HIV testing with gay men garnered from a systematic review

OBJECTIVES

Increasing appropriate HIV testing among men who have sex with men (MSM) is crucial to HIV prevention. Mass media interventions are effective in promoting testing, but to date, there has been little examination of their active content.

DESIGN

We conducted a qualitative analysis of intervention materials (n = 69) derived from a systematic review of mass media interventions designed to improve testing with MSM.

METHODS

Visual data were analysed for their affective and ideological content using a novel method drawing on concepts from semiotics (i.e., broadly speaking, the analysis of signs).

RESULTS

Whilst affect was not explicitly theorized or examined in any of the studies, there are clearly identifiable affective elements implicitly at play in these interventions. Four thematic categories of affect/ideology were identified including (1) sexual desire and the 'pornographication' of the gay/bisexual male subject; (2) narratives of romance and love; (3) fear, threat, and regret; and (4) 'flattened' affect.

CONCLUSIONS

This is the first study to examine and detail the affective and ideological aspects of intervention content in this field. Using analytic techniques such as those reported here, in addition to approaches that focus on the manner in which intervention content address more proximal determinants of behaviour, can provide a rich and potentially more useful evidence base to assist with future interventions.

Association Between Public Knowledge About COVID-19, Trust in Information Sources, and Adherence to Social Distancing: Cross-Sectional Survey

Background

The success of behavioral interventions and policies designed to reduce the impact of the COVID-19 pandemic depends on how well individuals are informed about both the consequences of infection and the steps that should be taken to reduce the impact of the disease.

Objective

The aim of this study was to investigate associations between public knowledge about COVID-19, adherence to social distancing, and public trust in government information sources (eg, the US Centers for Disease Control and Prevention), private sources (eg, FOX and CNN), and social networks (eg, Facebook and Twitter) to inform future policies related to critical information distribution.

Methods

We conducted a cross-sectional survey (N=1243) between April 10 and 14, 2020. Data collection was stratified by US region and other demographics to ensure representativeness of the sample.

Results

Government information sources were the most trusted among the public. However, we observed trends in the data that suggested variations in trust by age and gender. White and older populations generally expressed higher trust in government sources, while non-White and younger populations expressed higher trust in private sources (eg, CNN) and social networks (eg, Twitter). Trust in government sources was positively associated with accurate knowledge about COVID-19 and adherence to social distancing. However, trust in private sources (eg, FOX and CNN) was negatively associated with knowledge about COVID-19. Similarly, trust in social networks (eg, Facebook and Twitter) was negatively associated with both knowledge and adherence to social distancing.

Conclusions

During pandemics such as the COVID-19 outbreak, policy makers should carefully consider the quality of information disseminated through private sources and social networks. Furthermore, when disseminating urgent health information, a variety of information sources should be used to ensure that diverse populations have timely access to critical knowledge.