The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research

More clinicians and researchers are exploring uses for large language model chatbots, such as ChatGPT, for research, dissemination, and educational purposes. Therefore, it becomes increasingly relevant to consider the full potential of this tool, including the special features that are currently available through the application programming interface. One of these features is a variable called temperature, which changes the degree to which randomness is involved in the model's generated output. This is of particular interest to clinicians and researchers. By lowering this variable, one can generate more consistent outputs; by increasing it, one can receive more creative responses. For clinicians and researchers who are exploring these tools for a variety of tasks, the ability to tailor outputs to be less creative may be beneficial for work that demands consistency. Additionally, access to more creative text generation may enable scientific authors to describe their research in more general language and potentially connect with a broader public through social media. In this viewpoint, we present the temperature feature, discuss potential uses, and provide some examples.

Evaluation of the Effectiveness of Suicide.ca, Quebec's Digital Suicide Prevention Strategy Platform: Cross-Sectional Descriptive Study

BACKGROUND

In 2017, the Quebec government assigned the Association québécoise de prévention du suicide (AQPS) to develop a digital suicide prevention strategy (DSPS). The AQPS responded by creating a centralized website that provides information on suicide and mental health, identifies at-risk individuals on the internet, and offers direct crisis intervention support via chat and text.

OBJECTIVE

This study aims to evaluate the effectiveness of suicide.ca, Quebec's DSPS platform.

METHODS

This study used a cross-sectional descriptive design. The study population comprised internet users from Quebec, Canada, who visited the suicide.ca platform between October 2020 and October 2021. Various data sources, such as Google Analytics, Firebase Console, and Customer Relation Management data, were analyzed to document the use of the platform. To understand the profile of suicide.ca users, frequency analyses were conducted using data from the self-assessment module questionnaires, the intervention service's triage questionnaire, and the counselors' intervention reports. The effectiveness of the platform's promotional activities on social media was assessed by examining traffic peaks. Google Analytics was used to evaluate the effectiveness of AQPS' strategy for identifying at-risk internet users. The impact of the intervention service was evaluated through an analysis of counselors' intervention reports and postintervention survey results.

RESULTS

The platform received traffic from a diverse range of sources, with promotional efforts on social media directly contributing to the increased traffic. The requirement of a user account posed a barrier to the use of the mobile app, and a triage question that involved personal information led to a substantial number of dropouts during the intervention service triage. AdWords campaigns and fact sheets addressing suicide risk factors played a crucial role in driving traffic to the platform. With regard to the profile of suicide.ca users, the findings revealed that the platform engaged individuals with diverse levels of suicidal risk. Notably, users of the chat service displayed a higher suicide risk than those who used the self-assessment module. Crisis chat counselors reported a positive impact on approximately half of the contacts, and overall, intervention service users expressed satisfaction with the support they received.

CONCLUSIONS

A centralized digital platform can be used to implement a DSPS, effectively reaching the general population, individuals with risk factors for suicide, and those facing suicidal issues.

A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study

BACKGROUND

Adverse events refer to incidents with potential or actual harm to patients in hospitals. These events are typically documented through patient safety event (PSE) reports, which consist of detailed narratives providing contextual information on the occurrences. Accurate classification of PSE reports is crucial for patient safety monitoring. However, this process faces challenges due to inconsistencies in classifications and the sheer volume of reports. Recent advancements in text representation, particularly contextual text representation derived from transformer-based language models, offer a promising solution for more precise PSE report classification. Integrating the machine learning (ML) classifier necessitates a balance between human expertise and artificial intelligence (AI). Central to this integration is the concept of explainability, which is crucial for building trust and ensuring effective human-AI collaboration.

OBJECTIVE

This study aims to investigate the efficacy of ML classifiers trained using contextual text representation in automatically classifying PSE reports. Furthermore, the study presents an interface that integrates the ML classifier with the explainability technique to facilitate human-AI collaboration for PSE report classification.

METHODS

This study used a data set of 861 PSE reports from a large academic hospital's maternity units in the Southeastern United States. Various ML classifiers were trained with both static and contextual text representations of PSE reports. The trained ML classifiers were evaluated with multiclass classification metrics and the confusion matrix. The local interpretable model-agnostic explanations (LIME) technique was used to provide the rationale for the ML classifier's predictions. An interface that integrates the ML classifier with the LIME technique was designed for incident reporting systems.

RESULTS

The top-performing classifier using contextual representation was able to obtain an accuracy of 75.4% (95/126) compared to an accuracy of 66.7% (84/126) by the top-performing classifier trained using static text representation. A PSE reporting interface has been designed to facilitate human-AI collaboration in PSE report classification. In this design, the ML classifier recommends the top 2 most probable event types, along with the explanations for the prediction, enabling PSE reporters and patient safety analysts to choose the most suitable one. The LIME technique showed that the classifier occasionally relies on arbitrary words for classification, emphasizing the necessity of human oversight.

CONCLUSIONS

This study demonstrates that training ML classifiers with contextual text representations can significantly enhance the accuracy of PSE report classification. The interface designed in this study lays the foundation for human-AI collaboration in the classification of PSE reports. The insights gained from this research enhance the decision-making process in PSE report classification, enabling hospitals to more efficiently identify potential risks and hazards and enabling patient safety analysts to take timely actions to prevent patient harm.

Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study

BACKGROUND

ChatGPT may act as a research assistant to help organize the direction of thinking and summarize research findings. However, few studies have examined the quality, similarity (abstracts being similar to the original one), and accuracy of the abstracts generated by ChatGPT when researchers provide full-text basic research papers.

OBJECTIVE

We aimed to assess the applicability of an artificial intelligence (AI) model in generating abstracts for basic preclinical research.

METHODS

We selected 30 basic research papers from Nature, Genome Biology, and Biological Psychiatry. Excluding abstracts, we inputted the full text into ChatPDF, an application of a language model based on ChatGPT, and we prompted it to generate abstracts with the same style as used in the original papers. A total of 8 experts were invited to evaluate the quality of these abstracts (based on a Likert scale of 0-10) and identify which abstracts were generated by ChatPDF, using a blind approach. These abstracts were also evaluated for their similarity to the original abstracts and the accuracy of the AI content.

RESULTS

The quality of ChatGPT-generated abstracts was lower than that of the actual abstracts (10-point Likert scale: mean 4.72, SD 2.09 vs mean 8.09, SD 1.03; P<.001). The difference in quality was significant in the unstructured format (mean difference -4.33; 95% CI -4.79 to -3.86; P<.001) but minimal in the 4-subheading structured format (mean difference -2.33; 95% CI -2.79 to -1.86). Among the 30 ChatGPT-generated abstracts, 3 showed wrong conclusions, and 10 were identified as AI content. The mean percentage of similarity between the original and the generated abstracts was not high (2.10%-4.40%). The blinded reviewers achieved a 93% (224/240) accuracy rate in guessing which abstracts were written using ChatGPT.

CONCLUSIONS

Using ChatGPT to generate a scientific abstract may not lead to issues of similarity when using real full texts written by humans. However, the quality of the ChatGPT-generated abstracts was suboptimal, and their accuracy was not 100%.

Digital Health Interventions to Enhance Tuberculosis Treatment Adherence: Scoping Review

Background

Digital health technologies are widely used for disease management, with their computing platforms, software, and sensors being used for health care. These technologies are developed to manage chronic diseases and infectious bacterial diseases, including tuberculosis (TB).

Objective

This study aims to comprehensively review the literature on the use of digital health interventions (DHIs) for enhancing TB treatment adherence and identify major strategies for their adoption.

Methods

We conducted a literature search in the PubMed, Cochrane Library, Ovid Embase, and Scopus databases for relevant studies published between January 2012 and March 2022. Studies that focused on web-based or mobile phone-based interventions, medication adherence, digital health, randomized controlled trials, digital interventions, or mobile health and ubiquitous health technology for TB treatment and related health outcomes were included.

Results

We identified 27 relevant studies and classified them according to the intervention method, a significant difference in treatment success, and health outcomes. The following interventions were emphasized: SMS text messaging interventions (8/27, 30%), medicine reminders (6/27, 22%), and web-based direct observation therapy (9/27, 33%). Digital health technology significantly promoted disease management among individuals and health care professionals. However, only a few studies addressed 2-way communication therapies, such as interactive SMS text messaging and feedback systems.

Conclusions

This scoping review classified studies on DHIs for patients with TB and demonstrated their potential for the self-management of TB. DHIs are still being developed, and evidence on the impact of digital technologies on enhancing TB treatment adherence remains limited. However, it is necessary to encourage patients' participation in TB treatment and self-management through bidirectional communication. We emphasize the importance of developing a communication system.

Applications of the Natural Language Processing Tool ChatGPT in Clinical Practice: Comparative Study and Augmented Systematic Review

BACKGROUND

This research integrates a comparative analysis of the performance of human researchers and OpenAI's ChatGPT in systematic review tasks and describes an assessment of the application of natural language processing (NLP) models in clinical practice through a review of 5 studies.

OBJECTIVE

This study aimed to evaluate the reliability between ChatGPT and human researchers in extracting key information from clinical articles, and to investigate the practical use of NLP in clinical settings as evidenced by selected studies.

METHODS

The study design comprised a systematic review of clinical articles executed independently by human researchers and ChatGPT. The level of agreement between and within raters for parameter extraction was assessed using the Fleiss and Cohen κ statistics.

RESULTS

The comparative analysis revealed a high degree of concordance between ChatGPT and human researchers for most parameters, with less agreement for study design, clinical task, and clinical implementation. The review identified 5 significant studies that demonstrated the diverse applications of NLP in clinical settings. These studies' findings highlight the potential of NLP to improve clinical efficiency and patient outcomes in various contexts, from enhancing allergy detection and classification to improving quality metrics in psychotherapy treatments for veterans with posttraumatic stress disorder.

CONCLUSIONS

Our findings underscore the potential of NLP models, including ChatGPT, in performing systematic reviews and other clinical tasks. Despite certain limitations, NLP models present a promising avenue for enhancing health care efficiency and accuracy. Future studies must focus on broadening the range of clinical applications and exploring the ethical considerations of implementing NLP applications in health care settings.

Evaluation of Study Engagement With an mHealth Intervention (THR1VE) to Treat Diabetes Distress in Teens With Type 1 Diabetes: Randomized Clinical Trial

Background

Positive psychology interventions demonstrate improvements in diabetes self-management and quality of life among adults with chronic health conditions, but few interventions for adolescents use this approach.

Objective

This study describes engagement with a positive psychology intervention delivered via automated SMS text messages aimed at treating diabetes distress and improving diabetes outcomes. In addition, demographic and clinical predictors of intervention engagement were examined.

Methods

Adolescents with type 1 diabetes (ages 13-17 years) who reported at least moderate diabetes distress were randomized to receive either the education or positive affect + education intervention, comprising 8 weeks of automated SMS text messages. Engagement was assessed as the response to the SMS text messages. Adolescents completed satisfaction surveys 3 months post intervention, and a subset of participants from both intervention groups completed exit interviews.

Results

Adolescents in both groups reported high levels of satisfaction with the study, with 95% (163/172) reporting that they would participate again. Engagement with the SMS text messages was high; on average, adolescents in the positive affect + education group responded to 92.5% of intervention messages, and their caregivers responded to 88.5% of messages. There were no significant differences in rates of engagement related to adolescents' sex, age, device use, or race/ethnicity.

Conclusions

A positive psychology intervention for adolescents delivered via automated SMS text messages was feasible and acceptable across genders, ages, and racial/ethnic groups, suggesting potential for wider dissemination.

Adolescent and Young Adult Communication Preferences

The purpose of this study was to examine adolescents and young adults preferred methods of communication by health care professionals and to identify whether this aligns/differs from overall preferred methods of social media use. Sixty-seven participants completed an electronic survey about their communication preferences. Forty-eight participants were patients and 19 were parents. Logistic regression and chi-square analysis were performed to predict social media use and communication preferences from predictors including age, gender, race, and treatment status. More research is needed to generalize these results, and future research could further evaluate the effectiveness of implementing health care interventions using preferred platforms.

Testing Behavior Change Techniques to Increase Physical Activity in Middle-Aged and Older Adults: Protocol for a Randomized Personalized Trial Series

BACKGROUND

Being physically active is critical to successful aging, but most middle-aged and older adults do not move enough. Research has shown that even small increases in activity can have a significant impact on risk reduction and improve quality of life. Some behavior change techniques (BCTs) can increase activity, but prior studies on their effectiveness have primarily tested them in between-subjects trials and in aggregate. These design approaches, while robust, fail to identify those BCTs most influential for a given individual. In contrast, a personalized, or N-of-1, trial design can assess a person's response to each specific intervention.

OBJECTIVE

This study is designed to test the feasibility, acceptability, and preliminary effectiveness of a remotely delivered personalized behavioral intervention to increase low-intensity physical activity (ie, walking) in adults aged 45 to 75 years.

METHODS

The intervention will be administered over 10 weeks, starting with a 2-week baseline period followed by 4 BCTs (goal-setting, self-monitoring, feedback, and action planning) delivered one at a time, each for 2 weeks. In total, 60 participants will be randomized post baseline to 1 of 24 intervention sequences. Physical activity will be continuously measured by a wearable activity tracker, and intervention components and outcome measures will be delivered and collected by email, SMS text messages, and surveys. The effect of the overall intervention on step counts relative to baseline will be examined using generalized linear mixed models with an autoregressive model that accounts for possible autocorrelation and linear trends for daily steps across time. Participant satisfaction with the study components and attitudes and opinions toward personalized trials will be measured at the intervention's conclusion.

RESULTS

Pooled change in daily step count will be reported between baseline and individual BCTs and baseline versus overall intervention. Self-efficacy scores will be compared between baseline and individual BCTs and between baseline and the overall intervention. Mean and SD will be reported for survey measures (participant satisfaction with study components and attitudes and opinions toward personalized trials).

CONCLUSIONS

Assessing the feasibility and acceptability of delivering a personalized, remote physical activity intervention for middle-aged and older adults will inform what steps will be needed to scale up to a fully powered and within-subjects experimental design remotely. Examining the effect of each BCT in isolation will allow for their unique impact to be assessed and support design of future behavioral interventions. In using a personalized trial design, the heterogeneity of individual responses for each BCT can be quantified and inform later National Institutes of Health stages of intervention development trials.

TRIAL REGISTRATION

clinicaltrials.gov NCT04967313; https://clinicaltrials.gov/ct2/show/NCT04967313.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/43418.

Evaluating the Mental Health of Physician-Trainees Using an SMS Text Message-Based Assessment Tool: Longitudinal Pilot Study

BACKGROUND

Physician burnout is a multibillion-dollar issue in the United States. Despite its prevalence, burnout is difficult to accurately measure. Institutions generally rely on periodic surveys that are subject to recall bias. SMS text message-based surveys or assessments have been used in health care and have the advantage of easy accessibility and high response rates.

OBJECTIVE

In this pilot project, we evaluated the utility of and participant engagement with a simple, longitudinal, and SMS text message-based mental health assessment system for physician-trainees at the study institution. The goal of the SMS text message-based assessment system was to track stress, burnout, empathy, engagement, and work satisfaction levels faced by users in their normal working conditions.

METHODS

Three SMS text message-based questions per week for 5 weeks were sent to each participant. All data received were deidentified. Additionally, each participant had a deidentified personal web page to follow their scores as well as the aggregated scores of all participants over time. A 13-question optional survey was sent at the conclusion of the study to evaluate the usability of the platform. Descriptive statistics were performed.

RESULTS

In all, 81 participants were recruited and answered at least six (mean 14; median 14; range 6-16) questions for a total of 1113 responses. Overall, 10 (17%) out of 59 participants responded "Yes" to having experienced a traumatic experience during the study period. Only 3 participants ever answered being "Not at all satisfied" with their job. The highest number of responses indicating that participants were stressed or burnt out came on day 25 in the 34-day study period. There were mixed levels of concern for the privacy of responses. No substantial correlations were noted between responses and having experienced a traumatic experience during the study period. Furthermore, 12 participants responded to the optional feedback survey, and all either agreed or strongly agreed that the SMS text message-based assessment system was easy to use and the number of texts received was reasonable. None of the 12 respondents indicated that using the SMS text message-based assessment system caused stress.

CONCLUSIONS

Responses demonstrated that SMS text message-based mental health assessments are potentially useful for recording physician-trainee mental health levels in real time with minimal burden, but further study of SMS text message-based mental health assessments should address limitations such as improving response rates and clarifying participants' sense of privacy when using the SMS text message-based assessment system. The findings of this pilot study can inform the development of institution-wide tools for assessing physician burnout and protecting physicians from occupational stress.

A systematic synthesis of expert opinion on effective policies to tackle bacterial resistance worldwide

Actions that are taken to preserve effective antibacterial agents and eliminate transmission of resistant organisms are crucial to prevent a catastrophic postantibiotic era. In this systematic review, we searched and appraised relevant texts and expert opinions to determine effective strategies to tackle bacterial resistance worldwide. We considered expert opinions, consensus, current discourses, comments, assumptions or assertions and discussion papers published in English. We searched following databases for expert opinion-based literature: MEDLINE, CINAHL, ISI Web of Knowledge, SCOPUS, Cochrane Central Register of Controlled Trials and World Health Organization (WHO). We extracted the textual data from texts using a standardised data extraction tool. Textual pooling was not possible, so the conclusions were presented in a narrative form. Eighteen texts were included in this review. The findings show that, the most repeated policies and strategies include implementing and strengthening bacterial resistance surveillance, developing national guidelines, improving public awareness; enhancing home and everyday life hygiene; improving prescribing patterns, improving laboratories capacity, promoting innovation and research in new drugs and technology and strengthening coordination. This review systematically gathered strategies that were recommended by textual publications. To our knowledge, this was the first systematic review of text and opinion in the field of bacterial resistance. These results can be used by policymakers, hospital managers, and governments, alongside the results of quantitative and qualitative systematic reviews.

Trends in Language Use During the COVID-19 Pandemic and Relationship Between Language Use and Mental Health: Text Analysis Based on Free Responses From a Longitudinal Study

BACKGROUND

The COVID-19 pandemic and its associated restrictions have been a major stressor that has exacerbated mental health worldwide. Qualitative data play a unique role in documenting mental states through both language features and content. Text analysis methods can provide insights into the associations between language use and mental health and reveal relevant themes that emerge organically in open-ended responses.

OBJECTIVE

The aim of this web-based longitudinal study on mental health during the early COVID-19 pandemic was to use text analysis methods to analyze free responses to the question, "Is there anything else you would like to tell us that might be important that we did not ask about?" Our goals were to determine whether individuals who responded to the item differed from nonresponders, to determine whether there were associations between language use and psychological status, and to characterize the content of responses and how responses changed over time.

METHODS

A total of 3655 individuals enrolled in the study were asked to complete self-reported measures of mental health and COVID-19 pandemic-related questions every 2 weeks for 6 months. Of these 3655 participants, 2497 (68.32%) provided at least 1 free response (9741 total responses). We used various text analysis methods to measure the links between language use and mental health and to characterize response themes over the first year of the pandemic.

RESULTS

Response likelihood was influenced by demographic factors and health status: those who were male, Asian, Black, or Hispanic were less likely to respond, and the odds of responding increased with age and education as well as with a history of physical health conditions. Although mental health treatment history did not influence the overall likelihood of responding, it was associated with more negative sentiment, negative word use, and higher use of first-person singular pronouns. Responses were dynamically influenced by psychological status such that distress and loneliness were positively associated with an individual's likelihood to respond at a given time point and were associated with more negativity. Finally, the responses were negative in valence overall and exhibited fluctuations linked with external events. The responses covered a variety of topics, with the most common being mental health and emotion, social or physical distancing, and policy and government.

CONCLUSIONS

Our results identify trends in language use during the first year of the pandemic and suggest that both the content of responses and overall sentiments are linked to mental health.

Criteria for creating new standard reading passages for the assessment of speech and voice: A Delphi consensus study

Standard reading passages allow for the study of the integrated functions of speech and voice components in contextual, running speech, with target stimuli in a controlled environment. In both clinical practice and research, these texts provide rapid insight into the characteristics of the patient's speech, with fewer hesitations than in conversational speech and better predictability by the evaluator. Although a plethora of texts exist in different languages, they present various limitations. A specifically created standardised text in each language allowing for an ecological assessment of speech and voice functions, meeting most required criteria for standard speech and voice assessment and adapted to the target language's cultural and linguistic specificities, would therefore be an interesting option. However, no guidelines exist for the creation of such a reading passage. This article describes the international Delphi consensus study carried out to identify a minimal set of criteria to take into account when creating standard reading passages for an overall speech and voice assessment in adolescents and adults. This survey was conducted in three consecutive rounds; forty experts participated in the first round, with a total dropout of 17% from round 1 to round 3. It results in a minimal set of ten criteria which were selected by a majority of the experts and were rated as most important. This set contains five phoneme-level, two word-level, two sentence-level criteria and one global-level criterion. It can be used as a general guideline for the creation of standard reading passages in Indo-European Romance and Germanic languages such as English, French and German. The construction of a new reading passage in French following this guideline is briefly described.

Written Language Production in Children With Developmental Language Disorder

This study contributes to the cross-linguistic investigation of written language difficulties in children with DLD by reporting new findings from Greek-speaking individuals. Specifically, we investigate the writing performance of children with DLD and compare it to that of a group of typically developing (TD) children, matched for gender and chronological age. The specific orthographic properties of Greek, radically different from those of English, offer a unique opportunity to understand the nature of written language production in DLD. The participants of the study were 62 children, 31 with DLD and 31 TD. Both groups were asked to write a text on a special prompt they were given by the researcher and they were assessed in the total number of words used in text, in the proportion of incorrectly spelt words in text as well as in the use of verbs, nouns, content and function words. Also, the different words and the total number of main and subordinate clauses each of the participants used in their text were counted. The findings of the study showed that the written outputs of the DLD group were poorer in almost all measurements compared to those of their TD peers. We discuss our findings in relation to those reported by other languages, in particular English, and spell out the implications for assessing written language in children with DLD.

The work of conflict mediation: Actors, vectors, and communicative relationality

Mediation is a widely used form of third-party conflict management for which research has primarily focused on the role of mediators. But how are the relations between disputing parties constituted in communication involving written texts, such as official letters or medical reports, during mediation sessions? To gain deeper insight into the communicative dynamics through which third-party disputes are created, sustained, and resolved, this article proposes a new theoretical perspective on mediation that illuminates how human beings and written texts can act as vectors for each other, i.e., how they can make important differences in mediation sessions because they carry or convey what someone or something else is saying, doing, thinking, or feeling and, thus, contribute to composing the nature of disputants' relations. The value of this vectorial perspective on mediation is subsequently demonstrated through an inductive analysis of video-recorded sessions that took place at an administrative tribunal in Canada. By showing how texts (or their absence) can act as (1) conjunctive vectors that contribute to highlighting disputants' compatibilities and help them find common ground, or (2) disjunctive vectors that contribute to highlighting their incompatibilities and obstruct their dispute resolution, this article advances the academic and professional literature on the role of communication in conflict mediation work, and reveals significant implications for the study and practice of conflict management in organizations as well as scholarship on relational ontologies.

'Dear Doctor': a randomised controlled trial of a text message intervention to reduce burnout in trainee anaesthetists

One in four doctors in training in the UK reports feeling 'burnt out' due to their work and similar figures are reported in other countries. This two-group non-blinded randomised controlled trial aimed to determine if a novel text message intervention could reduce burnout and increase well-being in UK trainee anaesthetists. A total of 279 trainee anaesthetists (Core Training Year 2, Specialty Training Years 3 or 4) were included. All participants received one initial message sharing support resources. The intervention group (139 trainees) received 22 fortnightly text messages over approximately 10 months. Messages drew on 11 evidence-based themes including: gratitude; social support; self-efficacy; and self-compassion. Primary outcomes were burnout (Copenhagen Burnout Inventory) and well-being (Short Warwick-Edinburgh Mental Well-being Scale). Secondary outcomes were as follows: meaning in work; professional value; sickness absence; and consideration of career break. Outcomes were measured via online surveys. Measures of factors that may have affected well-being were included post-hoc, including the impact of COVID-19 (the first UK wave of which coincided with the second half of the trial). The final survey was completed by 153 trainees (74 in the intervention and 79 in the control groups). There were no significant group differences in: burnout (β = -1.82, 95%CI -6.54-2.91, p = 0.45); well-being (-0.52, -1.73-0.69, p = 0.40); meaning (-0.09, -0.67-0.50, p = 0.77); value (-0.01, -0.67-0.66, p = 0.99); sick days (0.88, -2.08-3.83, p = 0.56); or consideration of career break (OR = 0.44, -0.30-1.18, p = 0.24). Exploratory post-hoc analysis found the intervention was associated with reduced burnout in participants reporting personal or work-related difficulties during the trial period (-9.56, -17.35 to -1.77, p = 0.02) and in participants reporting that the COVID-19 pandemic had a big negative impact on their well-being (-10.38, -20.57 to -0.19, p = 0.05). Overall, this trial found the intervention had no impact. However, given this intervention is low cost and requires minimal time commitment from recipients, it may warrant adaptation and further evaluation.

The (minimal) persuasive advantage of political video over text

Video is an increasingly common source of political information. Although conventional wisdom suggests that video is much more persuasive than other communication modalities such as text, this assumption has seldom been tested in the political domain. Across two large-scale randomized experiments, we find clear evidence that “seeing is believing”: individuals are more likely to believe an event took place when shown information in video versus textual form. When it comes to persuasion, however, the advantage of video over text is markedly less pronounced, with only small effects on attitudes and behavioral intentions. Together, these results challenge popular narratives about the unparalleled persuasiveness of political video versus text.

Concerns about video-based political persuasion are prevalent in both popular and academic circles, predicated on the assumption that video is more compelling than text. To date, however, this assumption remains largely untested in the political domain. Here, we provide such a test. We begin by drawing a theoretical distinction between two dimensions for which video might be more efficacious than text: 1) one’s belief that a depicted event actually occurred and 2) the extent to which one’s attitudes and behavior are changed. We test this model across two high-powered survey experiments varying exposure to politically persuasive messaging (total n = 7,609 Americans; 26,584 observations). Respondents were shown a selection of persuasive messages drawn from a diverse sample of 72 clips. For each message, they were randomly assigned to one of three conditions: a short video, a detailed transcript of the video, or a control condition. Overall, we find that individuals are more likely to believe an event occurred when it is presented in video versus textual form, but the impact on attitudes and behavioral intentions is much smaller. Importantly, for both dimensions, these effects are highly stable across messages and respondent subgroups. Moreover, when it comes to attitudes and engagement, the difference between the video and text conditions is comparable to, if not smaller than, the difference between the text and control conditions. Taken together, these results call into question widely held assumptions about the unique persuasive power of political video over text.

Using mobile sensing data to assess stress: Associations with perceived and lifetime stress, mental health, sleep, and inflammation

Background

Although stress is a risk factor for mental and physical health problems, it can be difficult to assess, especially on a continual, non-invasive basis. Mobile sensing data, which are continuously collected from naturalistic smartphone use, may estimate exposure to acute and chronic stressors that have health-damaging effects. This initial validation study validated a mobile-sensing collection tool against assessments of perceived and lifetime stress, mental health, sleep duration, and inflammation.

Methods

Participants were 25 well-characterized healthy young adults (M_age = 20.64 years, SD = 2.74; 13 men, 12 women). We collected affective text language use with a custom smartphone keyboard. We assessed participants’ perceived and lifetime stress, depression and anxiety levels, sleep duration, and basal inflammatory activity (i.e. salivary C-reactive protein and interleukin-1β).

Results

Three measures of affective language (i.e. total positive words, total negative words, and total affective words) were strongly associated with lifetime stress exposure, and total negative words typed was related to fewer hours slept (all large effect sizes: r = 0.50 – 0.78). Total positive words, total negative words, and total affective words typed were also associated with higher perceived stress and lower salivary C-reactive protein levels (medium effect sizes; r = 0.22 – 0.32).

Conclusions

Data from this initial longitudinal validation study suggest that total and affective text use may be useful mobile sensing measures insofar as they are associated with several other stress, mental health, behavioral, and biological outcomes. This tool may thus help identify individuals at increased risk for stress-related health problems.

Textual Inference Comprehension in Mild Cognitive Impairment: The Influence of Semantic Processing and Verbal Episodic Memory

Language complaints, especially in complex tasks, may occur in mild cognitive impairment (MCI). Various language measures have been studied as cognitive predictors of MCI conversion to Alzheimer's type dementia. Understanding textual inferences is considered a high-demanding task that recruits multiple cognitive functions and, therefore, could be sensitive to detect decline in the early stages of MCI. Thus, we aimed to compare the performance of subjects with MCI to healthy elderly in a textual inference comprehension task and to determine the best predictors of performance in this ability considering one verbal episodic memory and two semantic tasks. We studied 99 individuals divided into three groups: (1) 23 individuals with amnestic mild cognitive impairment (aMCI), (2) 42 individuals with non-amnestic mild cognitive impairment (naMCI), (3), and (4) 34 cognitively healthy individuals for the control group (CG). A reduced version of The Implicit Management Test was used to assess different types of inferential reasoning in text reading. MCI patients performed poorer than healthy elderly, and there were no differences between MCI subgroups (amnestic and non-amnestic). The best predictors for inference-making were verbal memory in the aMCI and semantic tasks in the naMCI group. The results confirmed that the failure to understand textual inferences can be present in MCI and showed that different cognitive skills like semantic knowledge and verbal episodic memory are necessary for inference-making.

COVID-19 Pandemic: Stress, Anxiety, and Depression Levels Highest amongst Indigenous Peoples in Alberta

This study explores differences in stress, anxiety, and depression experienced by different ethnic groups during the COVID-19 pandemic. This was a cross-sectional online survey of subscribers of the COVID-19 Text4Hope text messaging program in Alberta. Stress, anxiety, and depression were measured among Caucasian, Indigenous, Asian, and other ethnic groups using the Perceived Stress Scale (PSS)-10, Generalized Anxiety Disorder (GAD)-7, and Patient Health Questionnaire (PHQ)-9 scales, respectively. The burden of depression and stress were significantly higher in Indigenous populations than in both Caucasian and Asian ethnic groups. The mean difference between Indigenous and Caucasian for PHQ-9 scores was 1.79, 95% CI of 0.74 to 2.84, p < 0.01 and for PSS-10 it was 1.92, 95% CI of 0.86 to 2.98, p < 0.01). The mean difference between Indigenous and Asian for PHQ-9 scores was 1.76, 95% CI of 0.34 to 3.19, p = 0.01 and for PSS-10 it was 2.02, 95% CI of 0.63 to 3.41, p < 0.01. However, Indigenous participant burden of anxiety was only significantly higher than Asian participants’ (mean difference for GAD-7 was 1.91, 95% CI of 0.65 to 3.18, p < 0.01). Indigenous people in Alberta have higher burden of mental illnesses during the COVID-19 pandemic. These findings are helpful for service planning and delivery.

Pre-notification and personalisation of text messages to increase questionnaire completion in a smoking cessation pregnancy RCT: an embedded randomised factorial trial

BACKGROUND

Low completion rates of questionnaires in randomised controlled trials can compromise the reliability of the results, so ways to boost questionnaire completion are often implemented. Although there is evidence to suggest that sending a text message to participants increases completion, there is little evidence around the timing or personalisation of these text messages.  Methods:  A two-by-two factorial SWAT (study within a trial) was embedded within the MiQuit-3 trial, looking at smoking cessation within pregnant smokers. Participants who reached their 36-week gestational follow-up were randomised to receive a personalised or non-personalised text message, either one week or one day prior to their follow-up. Primary outcomes were completion rate of questionnaire via telephone. Secondary outcomes included: completion rate via any method, time to completion, and number of attempts to contact required.  Results  In total 194 participants were randomised into the SWAT to receive a text message that was personalised early(n=50), personalised late (n=47), non-personalised early(n=50), or non-personalised late(n=47). There was no evidence that timing of the text message (early: one week before; or late: one day before) had an effect on any of the outcomes. There was evidence that a personalised text message would result in fewer completions compared with a non-personalised text message when data was collected only via the telephone(adjusted OR 0.44, 95% CI 0.22-0.87, p=0.02). However, these results were not significant when looking at completion via any method (adjusted OR 0.61, 95% CI 0.30-1.24, p=0.17). There was no evidence to show that personalisation or not was better for any of the secondary outcomes.  Conclusion  Timing of the text message does not appear to influence the completion of questionnaires. Personalisation of a text message may be detrimental to questionnaire completion, if data is only collected via the telephone - however, more SWATs should be undertaken in this field.

Pre-notification and personalisation of text-messages to retain participants in a smoking cessation pregnancy RCT: an embedded randomised factorial trial

BACKGROUND

Low response rates in randomised controlled trials can compromise the reliability of the results, so ways to boost retention are often implemented. Although there is evidence to suggest that sending a text message to participants increases retention, there is little evidence around the timing or personalisation of these messages.  Methods:  A two-by-two factorial SWAT (study within a trial) was embedded within the MiQuit-3 trial, looking at smoking cessation within pregnant smokers. Participants who reached their 36-week gestational follow-up were randomised to receive a personalised or non-personalised text message, either one week or one day prior to the telephone follow-up. Primary outcomes were completion rate of questionnaire via telephone. Secondary outcomes included: completion rate via any method, time to completion, and number of reminders required.  Results  In total 194 participants were randomised into the SWAT; 50 to personalised early text, 47 to personalised late text, 50 to non-personalised early text, and 47 to non-personalised late text. There was no evidence that timing of the text message (early: one week before; or late: one day before) had an effect on any of the outcomes. There was evidence that a personalised text would result in fewer completions via telephone compared with a non-personalised text (adjusted OR 0.44, 95% CI 0.22-0.87, p=0.02). However, there was no evidence to show that personalisation or not was better for any of the secondary outcomes.  Conclusion  Timing of the text message does not appear to influence the retention of participants. Personalisation of a text message may be detrimental to retention; however, more SWATs should be undertaken in this field.

Effects of text supplementation on speech intelligibility for listeners with normal and impaired hearing: a systematic review with implications for telecommunication

OBJECTIVE

Telecommunication can be difficult in the presence of noise or hearing loss. The purpose of this study was to systematically review evidence regarding the effects of text supplementation (e.g. captions, subtitles) of auditory or auditory-visual signals on speech intelligibility for listeners with normal or impaired hearing.

DESIGN

Three databases were searched. Articles were evaluated for inclusion based on the Population Intervention Comparison Outcome framework. The Effective Public Health Practice Project instrument was used to evaluate the quality of the identified articles.

STUDY SAMPLE

After duplicates were removed, the titles and abstracts of 2019 articles were screened. Forty-six full texts were reviewed; ten met inclusion criteria.

RESULTS

The quality of all ten articles was moderate or strong. The articles demonstrated that text added to auditory (or auditory-visual) signals improved speech intelligibility and that the benefits were largest when auditory signal integrity was low, accuracy of the text was high, and the auditory signal and text were synchronous. Age and hearing loss did not affect benefits from the addition of text.

CONCLUSIONS

Although only based on ten studies, these data support the use of text as a supplement during telecommunication, such as while watching television or during telehealth appointments.

How Packaging of Information in Conversation Is Impacted by Communication Medium and Restrictions

In team-based tasks, successful communication and mutual understanding are essential to facilitate team coordination and performance. It is well-established that an important component of human conversation (whether in speech, text, or any medium) is the maintenance of common ground. Maintaining common ground has a number of associated processes in which conversational participants engage. Many of these processes are lacking in current synthetic teammates, and it is unknown to what extent this lack of capabilities affects their ability to contribute during team-based tasks. We focused our research on how teams package information within a conversation, by which we mean specifically (1) whether information is explicitly mentioned or implied, and (2) how multiple pieces of information are ordered both within single communications and across multiple communications. We re-analyzed data collected from a simulated remotely-piloted aerial system (RPAS) task in which team members had to specify speed, altitude, and radius restrictions. The data came from three experiments: the “speech” experiment, the “text” experiment, and the “evaluation” experiment (which had a condition that included a synthetic teammate). We asked first whether teams settled on a specific routine for communicating the speed, altitude, and radius restrictions, and whether this process was different if the teams communicated in speech compared to text. We then asked how receiving special communication instructions in the evaluation experiment impacted the way the human teammates package information. We found that teams communicating in either speech or text tended to use a particular order for mentioning the speed, altitude, and radius. Different teams also chose different orders from one another. The teams in the evaluation experiment, however, showed unnaturally little variability in their information ordering and were also more likely to explicitly mention all restrictions even when they did not apply. Teams in the speech and text experiments were more likely to leave unnecessary restrictions unmentioned, and were also more likely to convey the restrictions across multiple communications. The option to converge on different packaging routines may have contributed to improved performance in the text experiment compared some of the conditions in the evaluation experiment.

Gender Differences in Satisfaction With a Text Messaging Program (Text4Hope) and Anticipated Receptivity to Technology-Based Health Support During the COVID-19 Pandemic: Cross-sectional Survey Study

Background

In March 2020, Text4Hope—a community health service—was provided to Alberta residents. This free service aims to promote psychological resilience and alleviate pandemic-associated stress, anxiety, and depression symptoms during the COVID-19 pandemic.

Objective

This study aimed to evaluate the feedback, satisfaction, experience, and perceptions of Text4Hope subscribers and to examine any differences based on gender after subscribers received 6 weeks of daily supportive text messages. Additionally, this study examined subscribers’ anticipated receptivity to technology-based medical services that could be offered during major crises, emergencies, or pandemics.

Methods

Individuals self-subscribed to Text4Hope to receive daily supportive text messages for 3 months. Subscribers were invited to complete a web-based survey at 6 weeks postintervention to provide service satisfaction–related information. Overall satisfaction was assessed on a scale of 0-10, and satisfaction scores were analyzed using a related-measures t test. Likert scale satisfaction responses were used to assess various aspects of the Text4Hope program. Gender differences were analyzed using one-way analysis of variance (ANOVA) and Chi-square analyses.

Results

A total of 2032 subscribers completed the baseline and 6-week surveys; 1788 (88%) were female, 219 (10.8%) were male, and 25 (1.2%) were other gender. The mean age of study participants was 44.58 years (SD 13.45 years). The mean overall satisfaction score was 8.55 (SD 1.78), suggesting high overall satisfaction with Text4Hope. The ANOVA analysis, which was conducted using the Welch test (n=1716), demonstrated that females had significantly higher mean satisfaction scores than males (8.65 vs 8.11, respectively; mean difference=0.546; 95% CI 0.19 to 0.91; P<.001) and nonsignificantly lower satisfaction scores than other gender respondents (mean difference=−0.938; 95% CI −0.37 to 2.25; P=.15). More than 70% of subscribers agreed that Text4Hope helped them cope with stress (1334/1731, 77.1%) and anxiety (1309/1728, 75.8%), feel connected to a support system (1400/1729, 81%), manage COVID-19–related issues (1279/1728, 74%), and improve mental well-being (1308/1731, 75.6%). Similarly, subscribers agreed that messages were positive, affirmative, and succinct. Messages were always or often read by 97.9% (1681/1716) of respondents, and more than 20% (401/1716, 23.4%) always or often returned to messages. The majority of subscribers (1471/1666, 88.3%) read the messages and either reflected upon them or took a positive action. Subscribers welcomed almost all technology-based services as part of their health care during crisis or emergency situations. Text4Hope was perceived to be effective by many female subscribers, who reported higher satisfaction and improved coping after receiving text messages for 6 weeks.

Conclusions

Respondents affirmed the high quality of the text messages with their positive feedback. Technology-based services can provide remotely accessible and population-level interventions that align with the recommended physical distancing practices for pandemics. Text4Hope subscriber feedback revealed high satisfaction and acceptance at 6 weeks postintervention.

International Registered Report Identifier (IRRID)

RR2-10.2196/19292

Preconception expanded carrier screening: Impact of information presented by text or video on genetic knowledge and attitudes

Preconception expanded carrier screening (ECS) aims to identify couples with an increased risk of having a child with an autosomal recessive (AR) disorder before pregnancy, thereby enabling reproductive choices. Genetic knowledge and experiential knowledge both influence the uptake of ECS. As people in the general public often lack such knowledge, it is essential to provide appropriate and understandable information when offering ECS. This study investigated the effect of an educational video, compared to an educational text, on the knowledge and attitudes toward preconception ECS in the general population. Both the text and video consisted of a brief educational summary on AR inheritance and on the type of disorders included in ECS, with the progressive neurodegenerative condition mucopolysaccharidosis type III (MPS III) as an example. Participants in the reproductive age were invited in collaboration with a research agency. Respondents (N = 789) were offered an educational video prior to completing an online questionnaire that examined genetic knowledge, the perceived severity of MPS III, perceived risk, and attitudes toward ECS. Outcomes were compared to reference data collected previously in which respondents had been offered an educational text (N = 781). We first again studied the attitudes toward ECS in a smaller educational text group (N = 266) in order to assess whether attitudes had changed over time due to increased media coverage on ECS, which did not reveal any significant changes. Respondents who were offered the video had a better genetic knowledge, perceived MPS III as more severe, perceived their risks higher and were more likely to participate in ECS compared to those who were offered text. Online video may well be used as supportive tool to the genetic counseling process, creating more knowledge on ECS and severe genetic disorders included in preconception screening panels.

COVID-19 pandemic: influence of relationship status on stress, anxiety, and depression in Canada

Objective:

To examine the impact of relationship status on levels of stress, anxiety, and depression during the coronavirus (COVID-19) pandemic to identify relationship status groups who are at greater risk of mental health difficulties.

Methods:

The sample was drawn from individuals who subscribed to the Text4Hope program, a cognitive behavioral therapy inspired text messaging service developed to support Albertans during the COVID-19 pandemic. A survey link was sent to the subscribers to ascertain their relationship status and assess psychopathology using the Perceived Stress Scale-10 (PSS-10), Generalized Anxiety Disorder 7-item (GAD-7) scale, and Patient Health Questionnaire-9 (PHQ-9). Data analysis was carried out using SPSS-26 for descriptive statistics.

Results:

Within the first 6 weeks of the pandemic, 8267 of 44·992 subscribers responded to the online survey giving a response rate of 19.4%. Mean scores on the PSS, GAD-7, and PHQ-9 were highest among those who were single and lowest among those who were widowed. Overall, mean scores on the PHQ-9 were higher in groups who self-identified as separated or divorced when compared with groups who identified as having partners, including the categories of married or cohabiting.

Conclusions:

Relationship status during the COVID-19 pandemic has an influence on the mental health of individuals. Our findings highlight relationship groups at risk of mental health problems during the pandemic and for whom treatments and mitigation should be targeted.

Changes in Stress, Anxiety, and Depression Levels of Subscribers to a Daily Supportive Text Message Program (Text4Hope) During the COVID-19 Pandemic: Cross-Sectional Survey Study

BACKGROUND

In addition to the obvious physical medical impact of COVID-19, the disease poses evident threats to people's mental health, psychological safety, and well-being. Provision of support for these challenges is complicated by the high number of people requiring support and the need to maintain physical distancing. Text4Hope, a daily supportive SMS text messaging program, was launched in Canada to mitigate the negative mental health impacts of the pandemic among Canadians.

OBJECTIVE

This paper describes the changes in the stress, anxiety, and depression levels of subscribers to the Text4Hope program after 6 weeks of exposure to daily supportive SMS text messages.

METHODS

We used self-administered, empirically supported web-based questionnaires to assess the demographic and clinical characteristics of Text4Hope subscribers. Perceived stress, anxiety, and depression were measured with the 10-Item Perceived Stress Scale (PSS-10), the Generalized Anxiety Disorder-7 (GAD-7) scale, and the Patient Health Questionnaire-9 (PHQ-9) scale at baseline and sixth week time points. Moderate or high perceived stress, likely generalized anxiety disorder, and likely major depressive disorder were assessed using cutoff scores of ≥14 for the PSS-10, ≥10 for the GAD-7, and ≥10 for the PHQ-9, respectively. At 6 weeks into the program, 766 participants had completed the questionnaires at both time points.

RESULTS

At the 6-week time point, there were statistically significant reductions in mean scores on the PSS-10 and GAD-7 scales but not on the PHQ-9 scale. Effect sizes were small overall. There were statistically significant reductions in the prevalence rates of moderate or high stress and likely generalized anxiety disorder but not likely major depressive disorder for the group that completed both the baseline and 6-week assessments. The largest reductions in mean scores and prevalence rates were for anxiety (18.7% and 13.5%, respectively).

CONCLUSIONS

Text4Hope is a convenient, cost-effective, and accessible means of implementing a population-level psychological intervention. This service demonstrated significant reductions in anxiety and stress levels during the COVID-19 pandemic and could be used as a population-level mental health intervention during natural disasters and other emergencies.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/19292.

COVID-19 Pandemic and Mental Health: Prevalence and Correlates of New-Onset Obsessive-Compulsive Symptoms in a Canadian Province

Background: This cross-sectional online survey investigates the prevalence of obsessive-compulsive disorder (OCD) symptoms at an early stage of the COVID-19 pandemic in Canada. Methods: OCD symptoms, moderate/high stress, likely generalized anxiety disorder (GAD) and likely major depressive disorder (MDD) were assessed with the Brief Obsessive-Compulsive Scale (BOCS), Perceived Stress Scale (PSS), Generalized Anxiety Disorder 7-item (GAD-7) scale, and Patient Health Questionnaire-9 (PHQ-9) scale, respectively. Results: Out of 32,805 individuals subscribed to Text4Hope, 6041 completed an online survey; the response rate was 18.4%. Overall, 60.3% of respondents reported onset of OCD symptoms and 53.8% had compulsions to wash hands during the COVID-19 pandemic. Respondents who showed OCD symptoms only since the start of COVID-19 were significantly more likely to have moderate/high stress (z = 6.4, p < 0.001), likely GAD (z = 6.0, p < 0.001), and likely MDD (z = 2.7, p < 0.01). Similarly, respondents who engaged in compulsive hand washing were significantly more likely to have moderate/high stress (z = 4.6, p < 0.001) and likely GAD (z = 4.6 p < 0.001), but not likely MDD (z = 1.4, p = 0.16). Conclusion: The prevalence of OCD symptoms increased during the COVID-19 pandemic, at a rate significantly higher than pre-pandemic rates reported for the sample population. Presenting with OCD symptoms increased the likelihood of presenting with elevated stress, likely GAD, and likely MDD.

Closing the Psychological Treatment Gap During the COVID-19 Pandemic With a Supportive Text Messaging Program: Protocol for Implementation and Evaluation

BACKGROUND

Coronavirus disease (COVID-19) has spread globally with far-reaching, significant, and unprecedented impacts on health and everyday life. Threats to mental health, psychological safety, and well-being are now emerging, increasing the impact of this virus on world health. Providing support for these challenges is difficult because of the high number of people requiring support in the context of a need to maintain physical distancing. This protocol describes the use of SMS text messaging (Text4Hope) as a convenient, cost-effective, and accessible population-level mental health intervention. This program is evidence-based, with prior research supporting good outcomes and high user satisfaction.

OBJECTIVE

The project goal is to implement a program of daily supportive SMS text messaging (Text4Hope) to reduce distress related to the COVID-19 crisis, initially among Canadians. The prevalence of stress, anxiety, and depressive symptoms; the demographic correlates of the same; and the outcomes of the Text4Hope intervention in mitigating distress will be evaluated.

METHODS

Self-administered anonymous online questionnaires will be used to assess stress (Perceived Stress Scale), anxiety (Generalized Anxiety Disorder-7 scale [GAD-7]), and depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]). Data will be collected at baseline (onset of SMS text messaging), the program midpoint (6 weeks), and the program endpoint (12 weeks).

RESULTS

Data analysis will include parametric and nonparametric techniques, focusing on primary outcomes (ie, stress, anxiety, and depressive symptoms) and metrics of use, including the number of subscribers and user satisfaction. Given the large size of the data set, machine learning and data mining methods will also be used.

CONCLUSIONS

This COVID-19 project will provide key information regarding prevalence rates of stress, anxiety, and depressive symptoms during the pandemic; demographic correlates of distress; and outcome data related to this scalable population-level intervention. Information from this study will be valuable for practitioners and useful for informing policy and decision making regarding psychological interventions during the pandemic.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/19292.

Evaluation of Outcomes for Help Seekers Accessing a Pilot SMS-Based Crisis Intervention Service in Australia

Background: In July 2018, Lifeline Australia launched Australia's first short message service (SMS) crisis support service. Lifeline Text aims to reduce psychological distress and increase coping and social connectedness among help seekers, particularly those who prefer text-based communication. Aims: We aimed to independently evaluate the pilot SMS service over a 240-day period. Method: The service evaluation used operational data, pre and postconversation automated questions, and an online survey to assess outcomes. Results: There were 7,315 contacts during operational hours, of which 5,266 progressed to the queue and 99.2% were answered. Suicide was actively being considered by 1,554 help seekers, and 171 were assessed at imminent risk. Commonly discussed topics were mental health problems, issues relating to the self and identity, and family relationship difficulties. Limitations: This was an evaluation of a pilot service focusing on demand and short-term outcomes. Conclusion: The service succeeded in reaching some under-served groups. On average, help seekers were significantly less distressed, felt more confident in their ability to cope and felt greater connection to others, following the text intervention. The demand for Lifeline Text and the high level of suicidality of help seekers show it is meeting urgent needs in the community.

Visual Analysis of Research Paper Collections Using Normalized Relative Compression

The analysis of research paper collections is an interesting topic that can give insights on whether a research area is stalled in the same problems, or there is a great amount of novelty every year. Previous research has addressed similar tasks by the analysis of keywords or reference lists, with different degrees of human intervention. In this paper, we demonstrate how, with the use of Normalized Relative Compression, together with a set of automated data-processing tasks, we can successfully visually compare research articles and document collections. We also achieve very similar results with Normalized Conditional Compression that can be applied with a regular compressor. With our approach, we can group papers of different disciplines, analyze how a conference evolves throughout the different editions, or how the profile of a researcher changes through the time. We provide a set of tests that validate our technique, and show that it behaves better for these tasks than other techniques previously proposed.

Digital Weight Loss Intervention for Parents of Children Being Treated for Obesity: A Prospective Cohort Feasibility Trial

BACKGROUND

The prevalence of childhood obesity continues to increase, and clinic-based treatment options have failed to demonstrate effectiveness. One of the strongest predictors of child weight is parent weight. Parental treatment for weight loss may indirectly reduce obesity in the child. We have previously demonstrated the effectiveness among adults of a fully automated, evidence-based digital weight loss intervention (Track). However, it is unknown if it is feasible to deliver such a treatment directly to parents with obesity who bring their child with obesity to a weight management clinic for treatment.

OBJECTIVE

The objective of our study was to evaluate the feasibility of and engagement with a digital weight loss intervention among parents of children receiving treatment for obesity.

METHODS

We conducted a 6-month pre-post feasibility trial among parents or guardians and their children aged 4-16 years presenting for tertiary care obesity treatment. Along with the standard family-based treatment protocol, parents received a 6-month digital weight loss intervention, which included weekly monitoring of personalized behavior change goals via mobile technologies. We examined levels of engagement by tracking completed weeks of self-monitoring and feasibility by assessing change in weight.

RESULTS

Participants (N=48) were on average 39 years old, mostly female (35/42, 82% ), non-Hispanic Black individuals (21/41, 51%) with obesity (36/48, 75%). Over a quarter had a yearly household income of <US $25,000, and about a third had the equivalent of a high school education. Children were on average 10 years old and had a body mass index of 29.8 kg/m². The median percentage of weeks participants tracked their behaviors was 77% (18.5/24 total weeks; interquartile range [IQR] 6.3 to 100). The median number of attempts via phone or text message (short message service) required to complete one tracking week was 3.3 (IQR 2.6 to 4.9). Nearly half (23/48, 48%) had high levels of engagement, completing 80% (19/24) or more weeks of tracking. Of the 26 participants with weight measurements reported at 6 months, of which 81% (21/26) were self-reported, there was a median 2.44 kg (IQR -6.5 to 1.0) decrease in weight.

CONCLUSIONS

It is feasible to deliver an evidence-based digital weight loss intervention to parents or guardians whose children are enrolled in a weight management program. Given the feasibility of this approach, future studies should investigate the effectiveness of digital weight loss interventions for parents on child weight and health outcomes.

Effect of stimuli on sun protective habits: A randomized double-blind controlled study

BACKGROUND

Visual imagery has been shown to improve adherence to health messages but has scarcely been investigated in sun protection campaigns.

OBJECTIVE

To determine the effectiveness of pictorial- and textual-based sun protective messages in a largely Hispanic population.

METHODS

One hundred and forty-five participants received standard of care (SOC) as defined as sun protective counseling and were then randomized to receive either (a) images of sun damage, (b) a textual pamphlet about sun damage, or (c) no further messages. Analysis-of-variance tests for repeated measures were used to estimate the effects of the different stimuli on participants' knowledge and intention to sun protect.

RESULTS

All stimulus groups demonstrated an improvement in perceived effectiveness of sun protective habits (p < 0.05). However, pictorial and textual stimuli were both more effective than SOC in improving intentions to sun protect (p < 0.05), but there was no differential effect between the two.

CONCLUSIONS

Both pictorial and textual stimuli were more effective than SOC in improving intentions to sun protect, but there was no differential effect between the two.

Textual healing: tailor-made kabbalistic therapeutics in Jerusalem

This paper, based on fieldwork conducted in a Jerusalem yeshiva, describes how the yeshiva, a traditional institute of religious studies, also serves as an institution of healing and personal therapy in which sacred religious texts assume a central place. The article focuses on personal sessions between the rabbi who heads the yeshiva, and his audience of believers who turn to him for help in coping with personal hardships and tribulations. The paper contextualizes and elaborates upon the concept of 'deep healing' to describe how the rabbi uses his regular 'tool kit' to diagnose the problems of the person facing him and to offer optimal, personalized therapy. The rabbi uses religious texts to create textual deep healing processes that are tailor-made for the individual supplicant and are intended to accompany supplicants for a long period of time.

What's in a Typeface? Evidence of the Existence of Print Personalities in Arabic

Previous research suggests that different typefaces can be perceived as having distinct personality characteristics (such as strength, elegance, friendliness, romance, and humor) and that these “print personalities” elicit information in the reader that is in addition to the meaning conveyed linguistically by words. However, research in this area has previously been conducted using only English stimuli and so it may be that typefaces in English, and other languages using the Latinate alphabet, lend themselves unusually well to eliciting perception of print personalities, and the phenomenon is not a language universal. But not all written languages are Latinate languages, and one language that is especially visually distinct is Arabic. In particular, apart from being read from right to left, Arabic is formed in a cursive script in which the visual appearance of letters contrasts strongly with those used for Latinate languages. In addition, spaces between letters seldom exist in Arabic and the visual appearance of even the same letters can vary considerably within the same typeface depending on their contextual location within a word. Accordingly, the purpose of the present study was to investigate whether, like English, different Arabic typefaces inspire the attribution of print personalities. Eleven different typefaces were presented in Arabic sentences to skilled readers of Arabic and participants rated each typeface according to 20 different personality characteristics. The results showed that each typeface produced a different pattern of ratings of personality characteristics and suggest that, like English, Arabic typefaces are perceived as having distinct print personalities. Some of the implications of these results for the processes involved in reading are discussed.

Improving Medication Adherence with Two-way Short Message Service Reminders in Sickle Cell Disease and Asthma. A feasibility randomized controlled trial

INTRODUCTION

Sickle cell disease (SCD) is a childhood and adult disease that primarily affects African Americans, characterized by life threatening sequelae mitigated by medications. One-way and two-way short message service (SMS) medication reminders have differing efficacy in chronic diseases. There is limited literature about SMS medication reminders in SCD.

OBJECTIVE

The goal of this study was to test the feasibility, defined by recruitment/acceptance, retention/attrition, and technology utilization, of two-way SMS medication reminders in individuals with SCD with and without asthma.

MATERIALS AND METHODS

Participants were randomly allocated to standard care or reminders. Two-way SMS reminders were automated using Research Electronic Data Capture (REDCap) for hydroxyurea, fluticasone, budesonide and montelukast. Adherence was measured using the Morisky Medication Adherence Scale-8 (MMAS-8). Asthma control was assessed using the Childhood and Adult-Asthma Control Tests (ACT). Participants were enrolled 28 to 60 days with a common termination date.

RESULTS

The recruitment rate was 95% (47/49) and 82.9% completed the study. Among the 47 study participants enrolled, 51.1% were male, 61.7% were adults, median age was 20 (range: 3 to 59), and 98% were African Americans. Of the 26 participants receiving messages, 20% responded on over 95% of the days and usage varied with an average response rate of 33%, ranging from 21% to 46%. Medication adherence scores improved significantly in the intervention group (3.42 before, 5.46 after; p=0.002), but not in the control group (3.90 before, 4.75 after; p=0.080). Childhood-ACT scores improved in the intervention group (19.20 before, 24.25 after). Adult-ACT scores within the intervention arm were unchanged (21.0 before, 22.0 after. ACT scores did not improve significantly.

CONCLUSION

This study demonstrated the feasibility for two-way SMS medication reminders to improve medication adherence in a high-risk population where daily medication adherence is critical to health outcomes and quality of life.

Aggressive periodontitis: An appraisal of systemic effects on its etiology-genetic aspect

Background:

Myeloperoxidase (MPO) is a lysosomal enzyme found in the azurophilic granules of polymorphonuclear leukocytes and is able to mediate inflammatory tissue destruction in aggressive and chronic periodontitis (CP). Human telomerase is a multi subunit ribonucleoprotein enzyme concerned with telomeric lengthening and homeostasis in man and has been found to be elevated in inflammatory conditions such as rheumatoid arthritis and periodontitis. The aim of this study was to explore in aggressive periodontitis (AP) subjects: (i) The role of MPO-463G/A gene polymorphism and (ii) the level of telomerase expression. These parameters have been compared with the subjects of CP and that of the healthy controls.

Materials and Methods:

A total of 45 subjects of the age group 20–50 years and free from any known systemic disease were included in the study. They were divided into three groups – Group I-periodontally healthy control (n = 15), Group II-CP (n = 15) and Group III-AP (n = 15). Peripheral blood samples and gingival tissue samples were collected for MPO gene polymorphism and telomerase expression, respectively, for detection by reverse transcriptase polymerase chain reaction.

Results:

The frequencies of AG and AA genotypes in the MPO gene polymorphism were more common in the AP subjects when compared to the controls. The m-RNA expression of human telomerase reverse transcriptase (hTERT) was undetectable in the gingival tissue of the control group. Its expression in AP subjects was significantly higher than that of CP group (83.61 ± 2.94 in CP and 104.27 ± 6.06 in AP) (P < 0.0001).

Conclusions:

Our data suggest that MPO-463G/A may be associated with increased risk of AP. The level of tissue hTERT was elevated in AP subjects as compared to CP and healthy control groups.

To the letter: early readers trust print-based over oral instructions to guide their actions

Children have many opportunities to learn from others through oral and written sources. Recent evidence suggests that early readers place more trust in written over oral testimony when learning names for unfamiliar objects. Across three studies, we examined whether the authority of print extends beyond mere naming to guide children's actions in the physical world. In Study 1, 3- to 6-year-olds received conflicting oral and print-based advice from two puppets about how to operate a novel apparatus. Whereas pre-readers were indiscriminate in their trust, early readers preferred to follow the print-based advice. In Study 2, we replicated this finding, controlling for the amount of corroborating evidence presented by both sources, and the location of the print. In Study 3, we explored whether readers' preference for print-based information was due to a global preference for external representations, or a more specific preference for text. Children were presented with conflicting instructions based on text versus a coloured circle. Whereas pre-readers preferred to follow the colour circle, readers preferred to follow the text. Together, the results suggest that when children learn to read, they rapidly come to regard the written word as a particularly authoritative source of information about how to act in the world.

Topic models: a novel method for modeling couple and family text data

Couple and family researchers often collect open-ended linguistic data-either through free-response questionnaire items, or transcripts of interviews or therapy sessions. Because participants' responses are not forced into a set number of categories, text-based data can be very rich and revealing of psychological processes. At the same time, it is highly unstructured and challenging to analyze. Within family psychology, analyzing text data typically means applying a coding system, which can quantify text data but also has several limitations, including the time needed for coding, difficulties with interrater reliability, and defining a priori what should be coded. The current article presents an alternative method for analyzing text data called topic models (Steyvers & Griffiths, 2006), which has not yet been applied within couple and family psychology. Topic models have similarities to factor analysis and cluster analysis in that they identify underlying clusters of words with semantic similarities (i.e., the "topics"). In the present article, a nontechnical introduction to topic models is provided, highlighting how these models can be used for text exploration and indexing (e.g., quickly locating text passages that share semantic meaning) and how output from topic models can be used to predict behavioral codes or other types of outcomes. Throughout the article, a collection of transcripts from a large couple-therapy trial (Christensen et al., 2004) is used as example data to highlight potential applications. Practical resources for learning more about topic models and how to apply them are discussed.

Paradigms of family medicine: bridging traditions with new concepts; meeting the challenge of being the good doctor from 2011

This is the paper for the Wes Fabb Oration for the WONCA Asia Pacific Regional Conference 2011. This paper will review the case for the important role of the family physician/general practitioner in worldwide health care as determined by the WHO. The importance of continuing care is highlighted. The features of a good doctor will be defined and the process of meeting this challenge for excellence of care is presented.