Responses to a COVID-19 vaccination intervention: Qualitative analysis of 17K unsolicited SMS replies.

The development of effective interventions for COVID-19 vaccination has proven challenging given the unique and evolving determinants of that behavior. A tailored intervention to drive vaccination uptake through machine learning-enabled personalization of behavior change messages unexpectedly yielded a high volume of real-time short message service (SMS) feedback from recipients. A qualitative analysis of those replies contributes to a better understanding of the barriers to COVID-19 vaccination and demographic variations in determinants, supporting design improvements for vaccination interventions. OBJECTIVE: The purpose of this study was to examine unsolicited replies to a text message intervention for COVID-19 vaccination to understand the types of barriers experienced and any relationships between recipient demographics, intervention content, and reply type. METHOD: We categorized SMS replies into 22 overall themes. Interrater agreement was very good (all κpooled > 0.62). Chi-square analyses were used to understand demographic variations in reply types and which messaging types were most related to reply types. RESULTS: In total, 10,948 people receiving intervention text messages sent 17,090 replies. Most frequent reply types were "already vaccinated" (31.1%), attempts to unsubscribe (25.4%), and "will not get vaccinated" (12.7%). Within "already vaccinated" and "will not get vaccinated" replies, significant differences were observed in the demographics of those replying against expected base rates, all p > .001. Of those stating they would not vaccinate, 34% of the replies involved mis-/disinformation, suggesting that a determinant of vaccination involves nonvalidated COVID-19 beliefs. CONCLUSIONS: Insights from unsolicited replies can enhance our ability to identify appropriate intervention techniques to influence COVID-19 vaccination behaviors. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Understanding how primary care practitioners can be supported to recognise, screen and initially diagnose oropharyngeal dysphagia: protocol for a behavioural science realist review.

INTRODUCTION: Oropharyngeal dysphagia (OD) affects around 15% of older people; however, it is often unrecognised and underdiagnosed until patients are hospitalised. Screening is an important process which aims to facilitate proactive assessment, diagnosis and management of health conditions. Healthcare systems do not routinely screen for OD in older people, and healthcare professionals (HCPs) are largely unaware of the need to screen. This realist review aims to identify relevant literature and develop programme theories to understand what works, for whom, under what circumstances and how, to facilitate primary care HCPs to recognise, screen and initially diagnose OD. METHODS AND ANALYSIS: We will follow five steps for undertaking a realist review: (1) clarify the scope, (2) literature search, (3) appraise and extract data, (4) evidence synthesis and (5) evaluation. Initial programme theories (IPTs) will be constructed after the preliminary literature search, informed by the Theoretical Domains Framework and with input from a stakeholder group. We will search Medline, Google Scholar, PubMed, EMBASE, CINAHL, AMED, Scopus and PsycINFO databases. We will obtain additional evidence through grey literature, snowball sampling, lateral searching and consulting the stakeholder group. Literature will be screened, evaluated and synthesised in Covidence. Evidence will be assessed for quality by evaluating its relevance and rigour. Data will be extracted and synthesised according to their relation to IPTs. We will follow the Realist and Meta-narrative Evidence Syntheses: Evolving Standards quality and publication standards to report study results. ETHICS AND DISSEMINATION: Formal ethical approval is not required for this review. We will disseminate this research through publication in a peer-reviewed journal, written pieces targeted to diverse groups of HCPs on selected online platforms and public engagement events. PROSPERO REGISTRATION NUMBER: CRD42022320327.

Practical behavioural solutions to COVID-19: Changing the role of behavioural science in crises.

For a very long time in the COVID-19 crisis, behavioural change leading to physical distancing behaviour was the only tool at our disposal to mitigate virus spread. In this large-scale naturalistic experimental study we show how we can use behavioural science to find ways to promote the desired physical distancing behaviour. During seven days in a supermarket we implemented different behavioural interventions: (i) rewarding customers for keeping distance; (i) providing signage to guide customers; and (iii) altering shopping cart regulations. We asked customers to wear a tag that measured distances to other tags using ultra-wide band at 1Hz. In total N = 4, 232 customers participated in the study. We compared the number of contacts (< 1.5 m, corresponding to Dutch regulations) between customers using state-of-the-art contact network analyses. We found that rewarding customers and providing signage increased physical distancing, whereas shopping cart regulations did not impact physical distancing. Rewarding customers moreover reduced the duration of remaining contacts between customers. These results demonstrate the feasibility to conduct large-scale behavioural experiments that can provide guidelines for policy. While the COVID-19 crisis unequivocally demonstrates the importance of behaviour and behavioural change, behaviour is integral to many crises, like the trading of mortgages in the financial crisis or the consuming of goods in the climate crisis. We argue that by acknowledging the role of behaviour in crises, and redefining this role in terms of the desired behaviour and necessary behavioural change, behavioural science can open up new solutions to crises and inform policy. We believe that we should start taking advantage of these opportunities.

Using behavioural science in public health settings during the COVID-19 pandemic: The experience of public health practitioners and behavioural scientists.

INTRODUCTION: The emergence of COVID-19 and the importance of behaviour change to limit its spread created an urgent need to apply behavioural science to public health. Knowledge mobilisation, the processes whereby research leads to useful findings that are implemented to affect positive outcomes, is a goal for researchers, policy makers and practitioners alike. This study aimed to explores the experience of using behavioural science in public health during COVID-19, to discover barriers and facilitators and whether the rapidly changing context of COVID-19 influenced knowledge mobilisation. METHODS: We conducted a semi-structured interview study, with ten behavioural scientists and seven public health professionals in England, Scotland, Wales, The Netherlands and Canada. We conducted an inductive thematic analysis. RESULTS: We report three key themes and 10 sub-themes: 1.Challenges and facilitators of translation of behavioural science into public health (Methods and frameworks supported translation, Lack of supportive infrastructure, Conviction and sourcing of evidence and Embracing behavioural science) 2. The unique context of translation (Rapid change in context, the multi-disciplinary team and the emotional toll). 3. Recommendations to support future behavioural science translation (Embedding experts into teams, Importance of a collaborative network and showcasing the role of behavioural science). DISCUSSION: Barriers and facilitators included factors related to relationships between people, such as networks and teams; the expertise of individual people; and those related to materials, such as the use of frameworks and an overwhelming amount of evidence and literature. CONCLUSION: People and frameworks were seen as important in facilitating behavioural science in practice. Future research could explore how different frameworks are used. We recommend a stepped competency framework for behavioural science in public health and more focus on nurturing networks to facilitate knowledge mobilisation in future emergencies.

Infected by Bias: Behavioral Science and the Legal Response to COVID-19.

This Article presents the first comprehensive analysis of the contribution of behavioral science to the legal response to the COVID-19 pandemic. At the descriptive level, the Article shows how different psychological phenomena such as loss aversion and cultural cognition influenced the way policymakers and the public perceived the pandemic, and how such phenomena affected the design of laws and regulations responding to COVID-19. At the normative level, the Article compares nudges (i.e., choice-preserving, behaviorally informed tools that encourage people to behave as desired) and mandates (i.e., obligations backed by sanctions that dictate to people how they must behave). The Article argues that mandates rather than nudges should serve in most cases as the primary legal tool used to regulate behavior during a pandemic. Nonetheless, this Article highlights ways in which nudges can complement mandates.

Individual health behaviours to combat the COVID-19 pandemic: lessons from HIV socio-behavioural science.

INTRODUCTION: COVID-19 parallels HIV in many ways. Socio-behavioural science has been critical in elucidating the context and factors surrounding individual levels of engagement with known effective prevention and treatment tools for HIV, thus offering important lessons for ongoing efforts to combat the COVID-19 pandemic. DISCUSSION: Non-adherence to effective disease mitigation strategies (e.g. condoms for HIV and masks for COVID-19) can be attributed in part to prioritizing comfort, convenience and individual autonomy over public health. Importantly, misinformation can fuel denialism and conspiracies that discredit scientific knowledge and motivate nonadherence. These preferences and the extent to which individuals can act on their preferences may be constrained by the structures and culture in which they live. Both HIV and COVID-19 have been politicized and influenced by evolving recommendations from scientists, clinicians, policymakers and politically motivated organizations. While vaccines are vital for ending both pandemics, their impact will depend on availability and uptake. Four decades of experience with the HIV epidemic have shown that information alone is insufficient to overcome these challenges; interventions must address the underlying, often complex factors that influence human behaviour. This article builds from socio-behavioural science theory and describes practical and successful approaches to enable and support adherence to prevention and treatment strategies, including vaccine adoption. Key methods include reframing tools to enhance motivation, promoting centralized sources of trusted information, strategic development and messaging with and within key populations (e.g. through social media) and appealing to self-empowerment, altruism and informed decision making. Orchestrated evidence-based activism is needed to overcome manipulative politicization, while consistent transparent messaging around scientific discoveries and clinical recommendations are critical for public acceptance and support. Ultimately, the effectiveness of COVID-19 vaccines will depend on our ability to engender trust in the communities most affected. CONCLUSIONS: Many lessons learned from socio-behavioural science in the HIV pandemic are applicable to the COVID-19 pandemic. Individual behaviour must be understood within its interpersonal and societal context to address the current barriers to adherence to disease-mitigating strategies and promote an effective response to the COVID-19 pandemic, which is likely to be endured for the foreseeable future.

50 Years of Behavioral Science in Diabetes: A 2020 Vision of the Future.

This article is adapted from a speech Dr. de Groot delivered in June 2020 as President, Health Care & Education, of the American Diabetes Association at the Association's 80th Scientific Sessions, which was held online as a result of coronavirus disease 2019. Dr. de Groot is an Associate Professor of Medicine in the Division of Endocrinology, Diabetes and Metabolism at Indiana University (IU) School of Medicine. She serves as the Acting Director of the IU Diabetes Translational Research Center. Dr. de Groot is the 2020 recipient of the Rachmiel Levine Medal for Leadership from the American Diabetes Association.In the year 2020, we marked the 50th anniversary of the field of behavioral science in diabetes in the modern era. Over this relatively short period of time, this field has charted the psychosocial landscape of prediabetes and diabetes by establishing the prevalence and impact of emotional and behavioral aspects of diabetes. Interventions to address these conditions have been developed that span the T2 to T4 translational research spectrum ranging from the intrapsychic to population-based interventions. Policies ranging from standards of care to Medicare benefits have been implemented. A review of research in the area of diabetes and depression is provided as an example of innovations in this field. Behavior is the foundation of all interventions we make in diabetes and prediabetes. As a mature science, it is critical to stemming the tide of diabetes and its outcomes. To make additional strides, we must rebalance our focus and augment funding for behavioral interventions for individuals, communities, and health care systems in conjunction with other forms of treatment.

Recommending healthy meal plans by optimising nature-inspired many-objective diet problem.

Healthy eating is an important issue affecting a large part of the world population, so human diets are becoming increasingly popular, especially with the devastating consequences of Coronavirus Disease (Covid-19). A realistic and sustainable diet plan can help us to have a healthy eating habit since it considers most of the expectations from a diet without any restriction. In this study, the classical diet problem has been extended in terms of modelling, data sets and solution approach. Inspired by animals' hunting strategies, it was re-modelled as a many-objective optimisation problem. In order to have realistic and applicable diet plans, cooked dishes are used. A well-known many-objective evolutionary algorithm is used to solve the diet problem. Results show that our approach can optimise specialised daily menus for different user types, depending on their preferences, age, gender and body index. Our approach can be easily adapted for users with health issues by adding new constraints and objectives. Our approach can be used individually or by dietitians as a decision support mechanism.

Interpersonal Distance in the SARS-CoV-2 Crisis.

BACKGROUND: Mandatory rules for social distancing to curb the SARS-CoV-2 pandemic require individuals to maintain a critical interpersonal distance above 1.5 m. However, this contradicts our natural preference, which is closer to 1 m for non-intimate encounters, for example, when asking a stranger for directions. OBJECTIVE: This review addresses how humans typically regulate interpersonal distances, in order to highlight the challenges of enforcing atypically large interpersonal distances. METHOD: To understand the challenges posed by social distancing requirements, we integrate relevant contributions from visual perception, social perception, and human factors. RESULTS: To date, research on preferred interpersonal distances suggests that social distancing could induce discomfort, heighten arousal, and decrease social signaling in the short term. While the protracted effects of social distancing are unclear, we propose hypotheses on the mid- to long-term consequences of violating preferred norms of interpersonal distances. CONCLUSION: We suggest that enforcing a physical distance of 1.5-2 m presents a serious challenge to behavioral norms. APPLICATION: We address how notifications, architectural design, and visualizations could be effectively applied to promote interpersonal distance requirements.