Public comfort with the use of ChatGPT and expectations for healthcare.

OBJECTIVES: To examine whether comfort with the use of ChatGPT in society differs from comfort with other uses of AI in society and to identify whether this comfort and other patient characteristics such as trust, privacy concerns, respect, and tech-savviness are associated with expected benefit of the use of ChatGPT for improving health. MATERIALS AND METHODS: We analyzed an original survey of U.S. adults using the NORC AmeriSpeak Panel (n = 1787). We conducted paired t-tests to assess differences in comfort with AI applications. We conducted weighted univariable regression and 2 weighted logistic regression models to identify predictors of expected benefit with and without accounting for trust in the health system. RESULTS: Comfort with the use of ChatGPT in society is relatively low and different from other, common uses of AI. Comfort was highly associated with expecting benefit. Other statistically significant factors in multivariable analysis (not including system trust) included feeling respected and low privacy concerns. Females, younger adults, and those with higher levels of education were less likely to expect benefits in models with and without system trust, which was positively associated with expecting benefits (P = 1.6 × 10-11). Tech-savviness was not associated with the outcome. DISCUSSION: Understanding the impact of large language models (LLMs) from the patient perspective is critical to ensuring that expectations align with performance as a form of calibrated trust that acknowledges the dynamic nature of trust. CONCLUSION: Including measures of system trust in evaluating LLMs could capture a range of issues critical for ensuring patient acceptance of this technological innovation.

Patient-Provider Trust as a Key Component of Prenatal Screening for Adverse Childhood Experiences (ACES): A Concept Analysis.

INTRODUCTION: The concept of patient-provider trust in prenatal adverse childhood experiences (ACEs) screening remains unexplored. This concept analysis illuminates the role of trust in prenatal ACE screening to improve patient-provider relationships, increase patient uptake of ACE screening, and ensure that ACE screening is implemented in a strengths-based, trauma-informed way. METHODS: A concept analysis was conducted using the Rodgers' evolutionary method to define the antecedents, attributes, and consequences of this construct. The databases searched were PubMed, PsychInfo, and Scopus between 2010 and 2021. A total of 389 articles were retrieved using the search terms prenatal, adverse childhood experiences screening, adverse childhood experiences, and adverse childhood experiences questionnaire. Included articles for detailed review contained prenatal screening, trauma screening (ACE or other), trust or building trust between patient and health care provider, patient engagement, and shared decision making. Excluded articles were those not in the context of prenatal care and that were exclusively about screening with no discussion about the patient-provider relationship or patient perspectives. A total of 32 articles were reviewed for this concept analysis. RESULTS: We define trust in prenatal ACE screening as a network of evidence-based attributes that include the timing of the screening, patient familiarity with the health care provider, cultural competence, demystifying trauma, open dialogue between the patient and health care provider, and patient comfort and respect. DISCUSSION: This concept analysis elucidates the importance of ACE screening and provides suggestions for establishing trust in the context of prenatal ACE screening. Results give insight and general guidance for health care providers looking to implement ACE screening in a trauma-informed way. Further research is needed to evaluate pregnant patients' attitudes toward ACE screening and how a health care provider's trauma history might influence their care. More inquiry is needed to understand the racial, ethnic, and cultural barriers to ACE screening.

Experiences of Self-Sampling and Future Screening Preferences in Non-Attenders Who Returned an HPV Vaginal Self-Sample in the YouScreen Study: Findings From a Cross-Sectional Questionnaire.

BACKGROUND: We assessed experiences of human papillomavirus (HPV) vaginal self-sampling and future screening preferences in an ethnically and socio-economically diverse group of women overdue for cervical screening. SETTING AND PARTICIPANTS: A postal questionnaire was embedded in the YouScreen self-sampling trial in England: 32.5% (2712/8338) of kit completers returned the survey. Kit non-completers were encouraged to return a questionnaire, but no responses were received. Participants were ethnically diverse (40.3% came from ethnic minority backgrounds), and 59.1% came from the two most deprived quintiles. Differences in confidence in kit completion, trust in the test results and intention to attend a follow-up test if HPV-positive were evaluated using Pearson's χ2 analyses. Binary logistic regression models explored predictors of a future screening choice and preferences for urine versus vaginal self-sampling. RESULTS: Most kit-completers reported high confidence in self-sampling (82.6%) and high trust in the results (79.9%), but experiences varied by ethnicity and screening status. Most free-text comments were positive but some reported difficulties using the device, pain or discomfort. Most women would opt for self-sampling in the future (71.3% vs. 10.4% for a clinician-taken test) and it was more often preferred by ethnic minority groups, overdue screeners and never attenders. Urine self-tests were preferred to vaginal tests (41.9% vs. 15.4%), especially among women from Asian, Black or Other Ethnic backgrounds. CONCLUSIONS: Kit-completers were confident, found the test easy to complete, and trusted the self-sample results. However, experiences varied by ethnic group and some women highlighted difficulties with the kit. Most women would prefer self-sampling in the future, but it was not a universal preference, so offering a choice will be important. PATIENT OR PUBLIC CONTRIBUTION: We did not have direct patient and public involvement and engagement (PPIE) in the questionnaire design. However, patients and public representatives did input into the design of the YouScreen trial and reviewed the wider study materials (e.g. participant information sheet). TRIAL REGISTRATION: This questionnaire study was embedded in the YouScreen trial. The protocol for the YouScreen trial is available at https://www.isrctn.com/ISRCTN12759467. The National Institute for Health Research 43 Clinical Research Network (NIHR CRN) Central Portfolio Management System (CPMS) ID is 4441934.

Who's in control? Situating expertise, (mis)trust, and power among the Latine/Hispanic community in COVID-19's liminal moments.

BACKGROUND: Research has established the disproportionate impact of COVID-19 on Black, Indigenous, and People of color (BIPOC) communities, and the barriers to vaccine trust and access among these populations. Focusing on perceptions of safety, access, and trustworthiness, studies often attach barriers to community-members, and discuss vaccines as if developed from an objective perspective, or "view from nowhere" (Haraway). OBJECTIVE: We sought to follow Haraway's concept of "situated knowledges," whereby no one truth exists, and information is understood within its context, to understand the exertions of expertise surrounding vaccines. We focused on perceptions of power among a BIPOC community during a relatively unexamined moment, wherein the status of the pandemic and steps to prevent it were particularly uncertain. METHODS: We report the findings of ten focus groups conducted among members of Rhode Island's Latine/Hispanic communities between December 2021 and May 2022. We called this time COVID-19's liminal moment because vaccines were distributed, mandates were lifted, vaccine efficacy was doubted, and new strains spread. We translated, transcribed, and analyzed focus groups using thematic analysis. RESULTS: Community-member (n = 65) perceptions of control aligned with three key themes: (1) no power is capable of controlling COVID-19, (2) we are the objects of scientific and political powers, and (3) we, as individuals and communities, can control COVID-19 through our decisions and actions. CONCLUSIONS: By centering the perspectives of a minoritized community, we situated the scientific knowledge produced about COVID-19 within the realities of imperfect interventions, uncontrollable situations, and medical power-exertions. We argue that medical knowledge should not be assumed implicitly trustworthy, or even capable, but instead seen as one of many products of human labor within human systems. Trust and trustworthiness must be mutually negotiated between experts, contexts, and communities through communication, empowerment, and justice.

Dental anxiety and oral health in American Indian and Alaska natives.

OBJECTIVE: American Indian and Alaska native (AI/AN) individuals report distrust of the healthcare system. This study explored associations between having either high levels of dental distrust or high levels of dental care-related fear and anxiety ("dental anxiety") and oral health outcomes in AI/AN adults. METHODS: The 2022 State of Oral Health Equity in America survey included the Modified Dental Anxiety Scale and asked to what extent respondents agreed with the statement, "At my last oral health visit, I trusted the oral health provider I saw", and asked about self-rated oral health and presence of a dental home. RESULTS: AI/AN individuals (N = 564) who reported low dental trust (n = 110) or with high dental anxiety (MDAS≥19; n = 113) reported significantly worse overall and oral health and were significantly less likely to have a dental home (p < 0.05 used for each analysis). CONCLUSION: Dental distrust and dental anxiety can significantly impact oral health and dental utilization in AI/AN communities and are important intervention targets to improve AI/AN oral health.

'Drowned in a Sea of Inhumanity': Natural Childbirth, Postnatal Depression and the National Childbirth Trust, 1956-80s.

During the 1970s, the National Childbirth Trust (NCT) began to provide information and support to women experiencing postnatal mental illness, building on its promotion of natural childbirth and emphasis on the emotional wellbeing of women around birth, which had occupied the organisation since its establishment in 1956. This article argues that, alongside emotional, social and medical factors, the NCT attributed postnatal depression to the shift to hospital deliveries, involving high levels of intervention and frustrating women's choice and agency. While sharing ambitions to improve care in childbirth and giving women a voice in describing their experiences, it is suggested that the NCT's relationship with the feminist health movement remained ambiguous. The article also explores the NCT's collaboration with a variety of experts and advisors, some of whom emphasised the risk of postnatal depression to the bonding process and infant's development, potentially exacerbating the mental distress of new mothers.

Community notes increase trust in fact-checking on social media.

Community-based fact-checking is a promising approach to fact-check social media content at scale. However, an understanding of whether users trust community fact-checks is missing. Here, we presented n = 1,810 Americans with 36 misleading and nonmisleading social media posts and assessed their trust in different types of fact-checking interventions. Participants were randomly assigned to treatments where misleading content was either accompanied by simple (i.e. context-free) misinformation flags in different formats (expert flags or community flags), or by textual "community notes" explaining why the fact-checked post was misleading. Across both sides of the political spectrum, community notes were perceived as significantly more trustworthy than simple misinformation flags. Our results further suggest that the higher trustworthiness primarily stemmed from the context provided in community notes (i.e. fact-checking explanations) rather than generally higher trust towards community fact-checkers. Community notes also improved the identification of misleading posts. In sum, our work implies that context matters in fact-checking and that community notes might be an effective approach to mitigate trust issues with simple misinformation flags.

Survey data on the Italian public's perception of the Russian invasion of Ukraine (March-August 2022).

This article presents data collected through Computer-Assisted Web Interviewing (CAWI), conducted in Italy with the aim of exploring the Italian population's reaction to the Russian invasion of Ukraine in February 2022 and monitoring this reaction for the first six months of the attack through a six-round survey. Each round involved a representative sample of approximately 1010 (1007-1015) Italian adult citizens. Participants were asked questions about emotional reactions to the Russian invasion, coping strategies used, solidarity behaviour toward Ukrainian refugees, perceptions of refugees as a threat to the country, trust in national and international authorities to manage the international situation, and prospects for the future. Demographic data on the respondents were also collected. The survey design was developed by a research group from two universities (the University of Salento and the University of Foggia) and a European research centre, EICAP (European Institute of Cultural Analysis for Policy). The data provided in this article is a resource for researchers, public authorities, and other parties interested in surveying and studying public opinion. This dataset can be used to explore a wide range of topics, including prosocial behaviour and attitudes towards refugees in humanitarian emergencies.

Community engagement for stakeholder and community trust in healthcare: Short-term evaluation findings from a nationwide initiative in Lao PDR.

BACKGROUND: Trust remains a critical concept in healthcare provision, but little is known about the ability of health policy and interventions to stimulate more trusting relationships between communities and the health system. The CONNECT (Community Network Engagement for Essential Healthcare and COVID-19 Responses Through Trust) Initiative in Lao PDR provided an opportunity to assess the community-level impact of a trust-building community engagement approach. METHODS: A mixed-method process evaluation was implemented from 10/2022-12/2023 among 14 diverse case study communities in four provinces across Lao PDR. Data collection involved two rounds of census surveys (3161 observations incl. panel data from 618 individuals) including an 8-item trust scale, 50 semi-structured interviews with villagers, and 50 contextualizing key informant interviews. The two data collection rounds were implemented before and three months after village-based CONNECT activities and helped discern impacts among activity participants, indirectly exposed villagers, and unexposed villagers in a difference-in-difference analysis. RESULTS: Stakeholders attested strong support for the CONNECT Initiative although community-level retention of trust-related themes from the activities was limited. Quantitative data nevertheless showed that, at endline, the 8-item trust index (from [-8 to +8]) increased by 0.95 points from 4.44 to 5.39 and all trust indicators were universally higher. Difference-in-difference analysis showed that villagers exposed to the CONNECT activities had a 1.02-index-point higher trust index compared to unexposed villagers. Trust impacts improved gradually over time and were relatively more pronounced among men and ethnic minority groups. CONCLUSIONS: The CONNECT Initiative had considerable direct and systemic effects on community members' trust in their local health centers in the short term, which arose from strong stakeholder mobilization and gradual institutional learning. Relational community engagement approaches have the potential to create important synergies in health policy and broader cross-sectorial strategies, but also require contextual grounding to identify locally relevant dimensions of trust.

Understanding Vaccine Hesitancy in U.S. Prisons: Perspectives from a Statewide Survey of Incarcerated People.

Much of the American response to the COVID-19 pandemic was characterized by a divergence between general public opinion and public health policy. With little attention paid to individuals incarcerated during this time, there is limited direct evidence regarding how incarcerated people perceived efforts to mediate the harms of COVID-19. Prisons operate as a microcosm of society in many ways but they also face unique public health challenges. This study examines vaccine hesitancy-and acceptance-among a sample of individuals incarcerated within adult prisons in Pennsylvania. Using administrative records as well as rich attitudinal data from a survey of the incarcerated population, this study identifies a variety of social and historical factors that are-and are not-associated with an incarcerated person's willingness to receive the COVID-19 vaccine. Our findings highlight vaccination challenges unique to the carceral context and offer policy recommendations to improve trust in credible health messengers and health service provision for this often overlooked but vulnerable population.

Sex and COVID-19 vaccination uptake and intention in the Democratic Republic of Congo, Nigeria, Senegal, and Uganda.

The introduction of vaccines marked a game changer in the fight against COVID-19. In sub-Saharan Africa, studies have documented the intention to vaccinate and the uptake of COVID-19 vaccines. However, little is documented about how sex differences could have impacted COVID-19 vaccination. We conducted a multi-country cross-sectional study to assess the sex differences in COVID-19 vaccine uptake and intention to vaccinate in the Democratic Republic of Congo (DRC), Nigeria, Senegal, and Uganda. This study involved analysis of data from mobile surveys conducted between March and June 2022 among nationally constituted samples of adults in each country. Bivariate and multivariable logistic regression models were run. The self-reported uptake of COVID-19 vaccines was not significantly different between males and females (p = 0.47), while the intention to vaccinate was significantly higher among males (p = 0.008). Among males, obtaining COVID-19 information from health workers, testing for COVID-19, and having high trust in the Ministry of Health were associated with higher vaccination uptake. Among females, having high trust in the government was associated with higher vaccination uptake. For intention to vaccinate, males who resided in semi-urban areas and females who resided in rural areas had significantly higher vaccination intention compared to their counterparts in urban areas. Other factors positively associated with vaccination intention among males were trust in the World Health Organization and perceived truthfulness of institutions, while males from households with a higher socio-economic index and those who had declined a vaccine before had a lower vaccine intention. Overall, the factors differentiating vaccine uptake and intention to vaccinate among males and females were mostly related to trust in government institutions, perceived truthfulness of institutions, and respondent's residence. These factors are key in guiding the tailoring of interventions to increase COVID-19 vaccine uptake in sub-Saharan Africa and similar contexts.

Trust in the Leader, Organizational Commitment, and Nurses' Intention to Leave-Insights from a Nationwide Study Using Structural Equation Modeling.

Nursing retention is a major challenge globally. Ongoing workforce instability across countries underscores the need to understand the factors influencing turnover and nursing retention. Trust is a crucial element in managing workplace relationships between nurse managers and nurses. Existing studies have shown the direct impact of trust on employees' intention to leave their job but have not explored the effects of potential mediators such as organizational commitment. The aim of this study was to examine the impact of trust in the leader on nurses' intention to leave their job through the mediation of organizational commitment. A cross-sectional study was conducted in Italy. A convenience sample of 1853 nurses completed a self-report survey. The study tested a hypothesis-based mediation model using structural equation modeling, which showed good fit indices. The results indicated that trust in the leader had a significant impact on nurses' intention to leave, and this relationship was partially mediated by organizational commitment. Nurses who trust their leader are more likely to demonstrate higher levels of organizational commitment, resulting in a lower intention to leave their job. Furthermore, organizational commitment and trust emerge as critical factors in reducing nurses' intention to leave their current positions. Therefore, managers can reduce nurses' intention to leave by building trustful relationships that enhance organizational commitment.This study was not registered.

Exploring the Singapore general population's trust in COVID-19 information from different sources and its association with perceived risk of infection during the pandemic.

Background: The degree of public trust in the government's competence is crucial in preventing the spread of misinformation and reducing psychological distress during a pandemic. The study aimed to (i) explore the trust in COVID-19 information from different sources and trust in the ability of the World Health Organization (WHO), government departments and related institutions in handling the epidemic in Singapore and (ii) its association with perceived risk of infection among Singapore residents. Methods: A total of 1,129 participants (aged 21 and above) were recruited from a cross-sectional study examining the well-being and resilience of Singapore's population between May 2020 to June 2021. Trust in COVID-19 information from different sources was measured on a 10-point scale and an ordinal 7-point scale was used for perceived risk of infection. Descriptive statistics and multivariate logistic regression model were conducted. Results: 85.5% reported high trust in COVID-19 information from the government and their ability in handling the pandemic. Participants also reported high trust in COVID-19 information from local public health or infectious disease experts (84.4%) and traditional media (77.2%). Low trust in the ability of government departments and related institutions was associated with higher future (1 month) perceived risk of infection (OR: 5.7, 95% CI 1.02-32.45) and low trust in social media was associated with higher current perceived risk of infection (OR: 2.4, 95% CI 1.09-5.24). Discussion: The present study provided insight on the level of trust on COVID-19 information from different sources and its associated perceived risks of infection. Future qualitative studies are recommended to facilitate better understanding of public trust and identify strategies for how it can be effectively addressed to support future public health responses.

Intermediate Judgments and Trust in Artificial Intelligence-Supported Decision-Making.

Human decision-making is increasingly supported by artificial intelligence (AI) systems. From medical imaging analysis to self-driving vehicles, AI systems are becoming organically embedded in a host of different technologies. However, incorporating such advice into decision-making entails a human rationalization of AI outputs for supporting beneficial outcomes. Recent research suggests intermediate judgments in the first stage of a decision process can interfere with decisions in subsequent stages. For this reason, we extend this research to AI-supported decision-making to investigate how intermediate judgments on AI-provided advice may influence subsequent decisions. In an online experiment (N = 192), we found a consistent bolstering effect in trust for those who made intermediate judgments and over those who did not. Furthermore, violations of total probability were observed at all timing intervals throughout the study. We further analyzed the results by demonstrating how quantum probability theory can model these types of behaviors in human-AI decision-making and ameliorate the understanding of the interaction dynamics at the confluence of human factors and information features.

Combating Fraudulent Participation in Urban American Indian and Alaska Native Virtual Health Research: Protocol for Increasing Data Integrity in Online Research (PRIOR).

BACKGROUND: While the advantages of using the internet and social media for research recruitment are well documented, the evolving online environment also enhances motivations for misrepresentation to receive incentives or to "troll" research studies. Such fraudulent assaults can compromise data integrity, with substantial losses in project time; money; and especially for vulnerable populations, research trust. With the rapid advent of new technology and ever-evolving social media platforms, it has become easier for misrepresentation to occur within online data collection. This perpetuation can occur by bots or individuals with malintent, but careful planning can help aid in filtering out fraudulent data. OBJECTIVE: Using an example with urban American Indian and Alaska Native young women, this paper aims to describe PRIOR (Protocol for Increasing Data Integrity in Online Research), which is a 2-step integration protocol for combating fraudulent participation in online survey research. METHODS: From February 2019 to August 2020, we recruited participants for formative research preparatory to an online randomized control trial of a preconceptual health program. First, we described our initial protocol for preventing fraudulent participation, which proved to be unsuccessful. Then, we described modifications we made in May 2020 to improve the protocol performance and the creation of PRIOR. Changes included transferring data collection platforms, collecting embedded geospatial variables, enabling timing features within the screening survey, creating URL links for each method or platform of data collection, and manually confirming potentially eligible participants' identifying information. RESULTS: Before the implementation of PRIOR, the project experienced substantial fraudulent attempts at study enrollment, with less than 1% (n=6) of 1300 screened participants being identified as truly eligible. With the modified protocol, of the 461 individuals who completed a screening survey, 381 did not meet the eligibility criteria assessed on the survey. Of the 80 that did, 25 (31%) were identified as ineligible via PRIOR. A total of 55 (69%) were identified as eligible and verified in the protocol and were enrolled in the formative study. CONCLUSIONS: Fraudulent surveys compromise study integrity, validity of the data, and trust among participant populations. They also deplete scarce research resources including respondent compensation and personnel time. Our approach of PRIOR to prevent online misrepresentation in data was successful. This paper reviews key elements regarding fraudulent data participation in online research and demonstrates why enhanced protocols to prevent fraudulent data collection are crucial for building trust with vulnerable populations. TRIAL REGISTRATION: ClinicalTrials.gov NCT04376346; https://www.clinicaltrials.gov/study/NCT04376346. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/52281.

Building trust and increasing inclusion in public health research: co-produced strategies for engaging UK ethnic minority communities in research.

Patient and public involvement and engagement (PPIE) is essential for improved research outcomes and reduced research waste. To be effective, PPIE should provide opportunities for diverse groups to contribute to all research stages. However, UK ethnic minority communities remain underrepresented in research. This article describes strategies adopted in a public health research project that were effective in building trust and increasing inclusion of ethnic minority communities. The study team of researchers and PPIE partners reflects lessons learnt during the project and describe six main strategies that built meaningful levels of trust and inclusion: 1) early start to recruitment of PPIE partners; 2) relationship-focused engagement; 3) co-production and consultation activities; 4) open communication and iterative feedback; 5) co-production of project closure activities, and; 6) diverse research team. Meaningful outcomes for the community included the involvement of people from ethnic minorities as research participants and PPIE partners, community wellbeing, co-production of public health recommendations co-presented at the UK Houses of Parliament, and consortium-wide impact evidenced by the enrolment of 51 active PPIE partners. PPIE partners reflect on their research involvement, offering advice to researchers and encouraging people from ethnic minority communities to take part in research. An important message from PPIE partners is that involvement should not be restricted to projects specific to ethnic minorities but become a routine part of general population research, recognising ethnic minorities as an integral part of UK society. In conclusion, this article demonstrates that with appropriate strategies, inclusion and diversity can be achieved in public health research. We recommend researchers, practitioners and policy makers adopt these strategies when planning their public health projects.

An efficient neighbor nodes trust tagging model for optimized route detection in smart grids with secure data transmission.

Smart Grids are the control and transmission networks of the future; they allow suppliers and customers to interact in real time to optimize and intelligently manage resources. Although wireless mesh network technology can facilitate these smart functionalities, it is important to address the vulnerabilities and cyber-attack risks that are inherent to it. Smart Grid's reliance on the Internet amplifies security concerns. A number of methods have been proposed to address this issue; while some have made promises, they all need substantial amounts of computational resources. With this technology, channels based on trust can be set up. The security of the system is built utilizing a family relationship-based method, which makes use of measures that may be used to gauge a node's originality. Additionally, the power consumption and signal strength of the node are taken into account. The complexity and extent of the network need the development of new types of smart grid communication. Finding a way to detect and thwart major assaults on routing protocols is another design challenge. Smart grids rely on these protocols in its data system for efficient interchange of renewable energy. A unique secure energy routing mechanism is developed in this proposed model for secure data communication. In the proposed model, a new method for Neighbor Nodes Trust Tagging Model for Optimized Route Detection (NNTT-ORD) is proposed for establishing secure route for data communication in smart grids. The proposed model is compared with the existing model and the results represent that the proposed model route provides a secure environment for data transmission.

Building a way forward: Enabling community voices to forge the path toward successful immunization for all.

Community engagement is vital to the development of people-centered, successful vaccination programs. The diverse Vaccination Acceptance Research Network (VARN) community brings together interdisciplinary professionals from across the immunization ecosystem who play a crucial role in vaccination acceptance, demand, and delivery. Over the course of the VARN2023 conference, researchers and practitioners alike shared ideas and experiences focused on strategies and approaches to building trust between communities and health systems to increase equity in vaccination. Health professionals and community members must have equal value in the design and delivery of community-centered immunization services, while key vaccination decision-makers must also consider community experiences, concerns, and expertise in program design and policymaking. Therefore, strategies for community engagement and cultivating trust with communities are crucial for the success of any immunization program. Furthermore, health workers need additional skills, support, and resources to effectively communicate complex information about immunization, including effective strategies for countering misinformation. This article summarizes three skills-building sessions offered at the VARN2023 conference, focused on human-centered design, motivational interviewing, and engaging with journalists to leverage the voices of communities. These sessions offered practical, evidence-based tools for use across geographic and social settings that can be used by practitioners, researchers, and other stakeholders to increase vaccination demand and uptake in their communities.

Conversations in couple relationships: a trustful foundation when making future parenthood "real".

Sociologists often argue that communication in long-term couple relationships is the basis on which expectations, trust, and equality are created in contemporary society. However, what is the role of these everyday conversations in uncertain life situations such as expecting one's first child? This article examines concerns reported by prospective Swedish parents in order to explain the role of communication to alleviate these. Concerns, related to the formation of new relationships with one's partner, oneself, and one's future child, are mitigated by referring to the couple's "good" communication. In the present prenatal situation, the communication pattern (established in the past) seems to serve three functions in mitigating future concerns: (1) the communication generates a trust capital in the relationship, allowing the couple to venture into the uncertain future, (2) the communication makes social perceptions of family life "real" by constructing a common nomos that is internalized in the individual as an existential motto, and (3) the communication legitimizes family practices as democratic when referring to future plans as emerging from responsive and consensual dialogs. In the article it is emphasized that welfare policy needs to be based on an existential legitimacy, often developed in couple conversations, and particularly shaped in life situations characterized by change. However, the stability offered at the conversational micro level may simultaneously prevent macro level changes, a complexity that needs to be considered when developing a gender equality policy that is to resonate with people's existential meaning making. With the aim of consensus, and the means of balancing conflicts, there is a risk that the conversation will consolidate the interests of the stronger party. In this way, the responsive conversations in long-term relationships may consolidate gender inequality and counteract the welfare policy goal of equalizing power relationships.