Honoring Professor Hugo Lorenz Obwegeser: A Visionary in Maxillofacial Surgery and Orthodontics.

Hugo Lorenz Obwegeser was a pioneering Austrian surgeon whose contributions profoundly transformed the field of maxillofacial surgery. His groundbreaking work marked a pivotal turning point, enabling more sophisticated and effective corrections of facial deformities. Obwegeser revolutionized his area of expertise by introducing innovative osteotomies of the mandible and maxilla, which became foundational techniques for addressing facial asymmetries. In addition to his surgical advancements, Obwegeser was a key figure in establishing the European Association for Cranio-Maxillo-Facial Surgery, helping to define the modern scope of the specialty. His legacy in maxillofacial surgery is distinguished by his unwavering commitment to innovation, mentorship, and the continuous advancement of surgical practices. This article aims to honor the extraordinary achievements of Hugo Lorenz Obwegeser and his lasting impact on the field of maxillofacial surgery.

From Pathogen to Toxin: The Revolutionary Work of Dr. Sambhu Nath De in Understanding Cholera.

In the history of medical science and public health in India, the groundbreaking research on cholera toxin by Dr. Sambhu Nath De presents a pivotal moment. This review article dives into Dr. De's influential contributions to the understanding of cholera pathogenesis, his discovery of the cholera toxin, and its implications for the treatment and prevention of diseases. By defining the process via which vibrio cholera causes severe diarrhea and dehydration, Dr. De worked toward paving the way for the development of effective rehydration therapies and preventive strategies that have helped save innumerable lives all over the world. This article also reviews the more significant impact of Dr. De's findings in the field of public health and its shaping and use of modern approaches to infectious control. This article aims to honor the enduring legacy and contributions to public health reform by Dr. De.

Is pregnancy loss (that) disenfranchised? Evidence from a vignette study.

Background: Perceiving that society disregards grief after pregnancy loss (disenfranchised grief) elevates bereaved parents' psychological burden.Objective: In this research, we aimed to compare the disenfranchisement of pregnancy loss with four other loss types considering the bereaved's gender.Method: We collected data from Turkish participants (N = 1,280) using a 5 (loss type) x 2 (gender) between-subjects design with randomly assigned vignettes. Participants reported their expected grief and behavioural tendencies toward the bereaved. We conducted MANOVA and ANOVA analyses.Results: Results revealed that participants expected higher grief for pregnancy loss than two other disenfranchised grief types (former colleague's death, grandfather's diagnosis with Alzheimer's). Expected grief for pregnancy loss was higher than or similar to the level for the best friend's loss across examinations but lower than the level for the one-year-old child's loss. Behaviour tendencies were alike across vignettes, and their results did not paint a coherent picture. Findings did not differ by the bereaved's gender.Conclusion: Pregnancy loss might be less disenfranchised than bereaved parents perceive it, and parents' perceptions could be targeted in therapeutic interventions.

We investigated whether pregnancy loss is more disenfranchised by society than four other loss types considering the bereaved's gender.We collected data from a large sample in Turkey.Pregnancy loss might be less disenfranchised than argued in the literature.

Optimizing ChatGPT's Interpretation and Reporting of Delirium Assessment Outcomes: Exploratory Study.

BACKGROUND: Generative artificial intelligence (AI) and large language models, such as OpenAI's ChatGPT, have shown promising potential in supporting medical education and clinical decision-making, given their vast knowledge base and natural language processing capabilities. As a general purpose AI system, ChatGPT can complete a wide range of tasks, including differential diagnosis without additional training. However, the specific application of ChatGPT in learning and applying a series of specialized, context-specific tasks mimicking the workflow of a human assessor, such as administering a standardized assessment questionnaire, followed by inputting assessment results in a standardized form, and interpretating assessment results strictly following credible, published scoring criteria, have not been thoroughly studied. OBJECTIVE: This exploratory study aims to evaluate and optimize ChatGPT's capabilities in administering and interpreting the Sour Seven Questionnaire, an informant-based delirium assessment tool. Specifically, the objectives were to train ChatGPT-3.5 and ChatGPT-4 to understand and correctly apply the Sour Seven Questionnaire to clinical vignettes using prompt engineering, assess the performance of these AI models in identifying and scoring delirium symptoms against scores from human experts, and refine and enhance the models' interpretation and reporting accuracy through iterative prompt optimization. METHODS: We used prompt engineering to train ChatGPT-3.5 and ChatGPT-4 models on the Sour Seven Questionnaire, a tool for assessing delirium through caregiver input. Prompt engineering is a methodology used to enhance the AI's processing of inputs by meticulously structuring the prompts to improve accuracy and consistency in outputs. In this study, prompt engineering involved creating specific, structured commands that guided the AI models in understanding and applying the assessment tool's criteria accurately to clinical vignettes. This approach also included designing prompts to explicitly instruct the AI on how to format its responses, ensuring they were consistent with clinical documentation standards. RESULTS: Both ChatGPT models demonstrated promising proficiency in applying the Sour Seven Questionnaire to the vignettes, despite initial inconsistencies and errors. Performance notably improved through iterative prompt engineering, enhancing the models' capacity to detect delirium symptoms and assign scores. Prompt optimizations included adjusting the scoring methodology to accept only definitive "Yes" or "No" responses, revising the evaluation prompt to mandate responses in a tabular format, and guiding the models to adhere to the 2 recommended actions specified in the Sour Seven Questionnaire. CONCLUSIONS: Our findings provide preliminary evidence supporting the potential utility of AI models such as ChatGPT in administering standardized clinical assessment tools. The results highlight the significance of context-specific training and prompt engineering in harnessing the full potential of these AI models for health care applications. Despite the encouraging results, broader generalizability and further validation in real-world settings warrant additional research.

Redefining Cancer Care in India: Dr. Viswanathan Shanta's Lasting Contributions and Its Enduring Impact.

Dr. V. Shanta (1927-2021) made priceless contributions that significantly changed advanced cancer care in India. Trained at Madras Medical College and further trained in oncology internationally, she transformed the Cancer Institute in Chennai from a 12-bed facility into a leading cancer care institute of global repute. Dr. Shanta championed early cancer detection and sought to dismantle the stigma surrounding the disease, particularly in rural communities. Under her leadership, the institute introduced pioneering technologies and established India's first pediatric oncology institute. She was instrumental in creating comprehensive cancer registries that informed national health policies. Her dedication to holistic, patient-oriented care and her commitment to equitable healthcare earned her numerous accolades, including India's highest civilian awards such as the Padma Vibhushan and Padma Bhushan and Asia's premier prize the Ramon Magsaysay Award. Her work remains a cornerstone of oncology in India, continuing to inspire future generations of medical professionals.

Edward Jenner: The Pioneer of Vaccination and His Enduring Legacy in Modern Medicine.

Edward Jenner's work in the latter part of the 18th century laid the groundwork for contemporary vaccination techniques and represented a crucial moment in the battle against contagious diseases. Born in 1749 in Berkeley, Gloucestershire, Jenner received early medical training under the guidance of John Hunter, a distinguished British surgeon. Although variolation offered some immunity to smallpox, it was a hazardous procedure that could result in severe illness or even death. It was within the context of limited and hazardous medical practices that Jenner made his revolutionary observation that milkmaids who had contracted cowpox, a relatively mild illness, appeared to be immune to smallpox. This local folklore piqued Jenner's interest, leading him to investigate the potential of cowpox as a safer alternative to variolation. His work paved the way for the development of vaccines for other infectious diseases, transforming public health and establishing a foundation for modern immunology. The smallpox vaccine became a crucial element of public health initiatives, ultimately leading to the global eradication of the disease by the late 20th century. Jenner's contributions have saved countless lives and represent a testament to the enduring influence of his work on global health. His pioneering efforts laid the groundwork for vaccines that protect us today, solidifying his place as one of the most influential figures in medical history.

Parents' perceptions of parental consent procedures for social science research in the school context.

Typically, parents or other legal guardians are asked for an active declaration that the participation of their child in scientific research is informed and voluntary. However, asking for active parental consent leads to lower quality studies and passive parental consent might be preferable. In this study, we used an online survey in which parents (N = 156) watched video vignettes of multiple types of research in the classroom and asked them to rate the appropriateness of using active and passive parental consent. The results indicated that parents perceived active consent procedures as more appropriate in most types of research. However, particularly for secondary school children passive consent was rated as comparably appropriate for several types of research (e.g. observation and questionnaire studies). Other aspects of providing consent are displayed in a supplementary online dashboard. We conclude with recommendations for parental consent procedures for social science research in the school context.

Dr. Kadambini Ganguly (1861-1923): A Pioneer in Indian Medicine.

Dr. Kadambini Ganguly was a trailblazing Indian physician and social reformer. As one of the first female graduates and practitioners of Western medicine in India, she broke numerous barriers in a field dominated by men. Her contribution to medicine, particularly in women's healthcare, and her engagement in social reform through the Brahmo Samaj and the Indian National Congress, caused significant progress toward gender equality and social justice. This article looks back on her academic accomplishments, medical career, social activism, and lasting legacy, emphasizing her profound influence on medicine and society in India.

Diagnostic accuracy of large language models in psychiatry.

INTRODUCTION: Medical decision-making is crucial for effective treatment, especially in psychiatry where diagnosis often relies on subjective patient reports and a lack of high-specificity symptoms. Artificial intelligence (AI), particularly Large Language Models (LLMs) like GPT, has emerged as a promising tool to enhance diagnostic accuracy in psychiatry. This comparative study explores the diagnostic capabilities of several AI models, including Aya, GPT-3.5, GPT-4, GPT-3.5 clinical assistant (CA), Nemotron, and Nemotron CA, using clinical cases from the DSM-5. METHODS: We curated 20 clinical cases from the DSM-5 Clinical Cases book, covering a wide range of psychiatric diagnoses. Four advanced AI models (GPT-3.5 Turbo, GPT-4, Aya, Nemotron) were tested using prompts to elicit detailed diagnoses and reasoning. The models' performances were evaluated based on accuracy and quality of reasoning, with additional analysis using the Retrieval Augmented Generation (RAG) methodology for models accessing the DSM-5 text. RESULTS: The AI models showed varied diagnostic accuracy, with GPT-3.5 and GPT-4 performing notably better than Aya and Nemotron in terms of both accuracy and reasoning quality. While models struggled with specific disorders such as cyclothymic and disruptive mood dysregulation disorders, others excelled, particularly in diagnosing psychotic and bipolar disorders. Statistical analysis highlighted significant differences in accuracy and reasoning, emphasizing the superiority of the GPT models. DISCUSSION: The application of AI in psychiatry offers potential improvements in diagnostic accuracy. The superior performance of the GPT models can be attributed to their advanced natural language processing capabilities and extensive training on diverse text data, enabling more effective interpretation of psychiatric language. However, models like Aya and Nemotron showed limitations in reasoning, indicating a need for further refinement in their training and application. CONCLUSION: AI holds significant promise for enhancing psychiatric diagnostics, with certain models demonstrating high potential in interpreting complex clinical descriptions accurately. Future research should focus on expanding the dataset and integrating multimodal data to further enhance the diagnostic capabilities of AI in psychiatry.

A missed Nobel: Dr Subhas Mukhopadhyay (1931-1981), the Father of Indian IVF.

The Indian journey of assisted reproductive therapy began in Calcutta on 3 October 1978, when Dr Subhas Mukhopadhyay discovered the technique of in vitro fertilisation (IVF) only 67 days following the birth of the world's first IVF baby, Louise Brown in the United Kingdom by Edwards and Steptoe. While Edwards won the Nobel Prize in 2010 for his groundbreaking work, Mukhopadhyay, the man behind the genesis of 'Durga', India's first IVF baby, never received any recognition. Instead, he faced severe humiliation from his peers. His colleagues and the government dismissed his claims and unable to live with dishonour and disgrace, he tragically took his life on 19 June 1981. Today his innovative techniques of cryopreservation, gonadotropin stimulation and transvaginal oocyte retrieval are used worldwide across millions of fertility clinics, helping childless couples live the dream of parenthood.

Team-based learning (TBL) curriculum combined with video vignettes improves performance of undergraduate medical students on OSCE compared with TBL alone.

BACKGROUND: Clinical practitioners think of frequent causes of diseases first rather than expending resources searching for rare conditions. However, it is important to continue investigating when all common illnesses have been discarded. Undergraduate medical students must acquire skills to listen and ask relevant questions when seeking a potential diagnosis. METHODOLOGY: Our objective was to determine whether team-based learning (TBL) focused on clinical reasoning in the context of rare diseases combined with video vignettes (intervention) improved the clinical and generic skills of students compared with TBL alone (comparator). We followed a single-center quasi-experimental posttest-only design involving fifth-year medical students. RESULTS: The intervention group (n = 178) had a significantly higher mean overall score on the objective structured clinical examination (OSCE) (12.04 ± 2.54 vs. 11.27 ± 3.16; P = 0.021) and a higher mean percentage score in clinical skills (47.63% vs. 44.63%; P = 0.025) and generic skills (42.99% vs. 40.33%; P = 0.027) than the comparator group (n = 118). Success on the OSCE examination was significantly associated with the intervention (P = 0.002). CONCLUSIONS: The TBL with video vignettes curriculum was associated with better performance of medical students on the OSCE. The concept presented here may be beneficial to other teaching institutions.

From care practices to speculative vignettes-design considerations for robots in good care.

The care sector has become one of the test beds for developing robotic technologies, which have been promised to mitigate problems with aging populations and labor shortages. Despite these promises, the practical application of such technologies have been met with limited success. Apart from technical limitations, other challenges exist in the way we approach designing these technologies. Critical to the development in the care sector is understanding the complexity of the contexts, the needs and goals of diverse actors, and how these are socio-materially scaffolded. This paper presents a study conducted at the intersection of a value sensitive design and speculative design to understand these sensitivities. Based on the data collected in interviews (n = 6) and card workshops (n = 6) from care workers and residents in mobile care and care home contexts in Austria, we developed five themes capturing situated practices and understandings of good care as built on trust-developing routines, negotiations between different actors, affective and reciprocal dimension of care, care worker self-care, and material mediations. Subsequently, we created six speculative vignettes which serve as rhetorical devices to emphasize the tensions that arise with any technological intervention entering and reshaping existing care practices and relations. We argue that our approach can support robot designers to develop a rich understanding of the values and tensions in the specific context under study from the before design and development begin.

Educational Utility of Clinical Vignettes Generated in Japanese by ChatGPT-4: Mixed Methods Study.

BACKGROUND: Evaluating the accuracy and educational utility of artificial intelligence-generated medical cases, especially those produced by large language models such as ChatGPT-4 (developed by OpenAI), is crucial yet underexplored. OBJECTIVE: This study aimed to assess the educational utility of ChatGPT-4-generated clinical vignettes and their applicability in educational settings. METHODS: Using a convergent mixed methods design, a web-based survey was conducted from January 8 to 28, 2024, to evaluate 18 medical cases generated by ChatGPT-4 in Japanese. In the survey, 6 main question items were used to evaluate the quality of the generated clinical vignettes and their educational utility, which are information quality, information accuracy, educational usefulness, clinical match, terminology accuracy (TA), and diagnosis difficulty. Feedback was solicited from physicians specializing in general internal medicine or general medicine and experienced in medical education. Chi-square and Mann-Whitney U tests were performed to identify differences among cases, and linear regression was used to examine trends associated with physicians' experience. Thematic analysis of qualitative feedback was performed to identify areas for improvement and confirm the educational utility of the cases. RESULTS: Of the 73 invited participants, 71 (97%) responded. The respondents, primarily male (64/71, 90%), spanned a broad range of practice years (from 1976 to 2017) and represented diverse hospital sizes throughout Japan. The majority deemed the information quality (mean 0.77, 95% CI 0.75-0.79) and information accuracy (mean 0.68, 95% CI 0.65-0.71) to be satisfactory, with these responses being based on binary data. The average scores assigned were 3.55 (95% CI 3.49-3.60) for educational usefulness, 3.70 (95% CI 3.65-3.75) for clinical match, 3.49 (95% CI 3.44-3.55) for TA, and 2.34 (95% CI 2.28-2.40) for diagnosis difficulty, based on a 5-point Likert scale. Statistical analysis showed significant variability in content quality and relevance across the cases (P<.001 after Bonferroni correction). Participants suggested improvements in generating physical findings, using natural language, and enhancing medical TA. The thematic analysis highlighted the need for clearer documentation, clinical information consistency, content relevance, and patient-centered case presentations. CONCLUSIONS: ChatGPT-4-generated medical cases written in Japanese possess considerable potential as resources in medical education, with recognized adequacy in quality and accuracy. Nevertheless, there is a notable need for enhancements in the precision and realism of case details. This study emphasizes ChatGPT-4's value as an adjunctive educational tool in the medical field, requiring expert oversight for optimal application.

Does No Mean No? Situational and Dispositional Factors Influence Emerging Adult Men's Intentions to Use Assault Tactics in Response to Women's Sexual Refusal During Hookups.

Hookups can result in sexual assault when men do not listen to requests from women to stop. It is thus important to identify factors that influence men's decisions to override direct refusals in these situations. Presently, we administered first-person vignettes depicting a prototypical hookup wherein the woman refuses the man's attempt to escalate intimacy. Using a national sample of emerging adult men (N = 420), we found that they on average did not completely rule out coercive or forcible tactics, but those elevated on rape myth acceptance, hypermasculinity, and psychopathy were uniquely at risk of assault when controlling for several other traits known to correlate with rape. Participants also reported being likelier to use coercive sexual practices when refusals occurred at higher levels of sexual intimacy already attained. Notably, diagnostic analyses revealed that a subset of men had a disproportionate influence on the regression estimates, and that these men were not only elevated across a range of assault-relevant traits, but also endorsed higher likelihoods of using coercion and force in the face of female sexual refusal. Although removal of these cases did not substantively alter the results, exploratory analyses revealed that these individuals responded differently to situational factors in ways that suggested sexual opportunism. Theoretical and practical implications of these findings are discussed.

Estimating the Health-Related Quality of Life Benefit of Prophylactic Treatment for COVID-19 in Immunocompromised People: A Multimethod Valuation Study.

Background: Pre-exposure prophylaxis (PrEP) for COVID-19 provides additional protection, beyond vaccines alone, for individuals who are immunocompromised (IC). This may reduce the need for preventative behavioral modification, such as shielding-a behavioral restriction limiting an IC individual to minimize face-to-face interactions and/or crowded places. Therefore, PrEP may improve psychosocial well-being and health-related quality of life (HRQoL) for individuals with IC conditions. Objective: To estimate the potential HRQoL and utility benefit of PrEP for prevention of COVID-19 in individuals with IC conditions who may not have an adequate response of full vaccination (and therefore are at "highest risk" of severe COVID-19) that can be used in future economic evaluations of preventative therapies against COVID-19. Methods: Vignettes describing HRQoL associated with 2 pre-PrEP states (shielding and semi-shielding behavioral restrictions) and a post-PrEP state were developed from a literature review and tested through interviews with clinicians (n = 4) and individuals with IC conditions (n = 10). Vignettes were valued by a general population sample (N = 100) using a visual analog scale (VAS), time trade-off (TTO), and EQ-5D-5L. A sample of individuals with IC conditions (n = 48) valued their current HRQoL and a post-PrEP vignette using VAS and EQ-5D-5L. Results: Individuals with IC conditions reported a mean current EQ-5D-5L score of 0.574, and 0.656 for post-PrEP based on the vignette. PrEP would lead to behavior changes for 75% (30/40) of individuals with IC conditions and an emotional benefit for 93% (37/40) of individuals with IC conditions. Mean values from the general population valuation based on EQ-5D-5L ranged from 0.606 ("shielding") to 0.932 ("post-PrEP"). Conclusion: This study quantified the expected health state utility benefit of reduced psychosocial burden and behavioral restriction. PrEP would potentially result in a utility gain between 0.082 and 0.326, dependent on valuation approach and expected change in behavioral restrictions, leading to improvements in daily activities and emotional well-being.

Pain and subjective well-being among older adults in the developing world : A comprehensive assessment based on the WHO Study on Global Ageing and Adult Health.

This paper studies the association of pain with subjective well-being (SWB) and time use among older adults in five low- and middle-income countries using data from the first wave of the WHO Study on Global Ageing and Adult Health. We suggest a novel use of anchoring vignettes as direct control functions to account for potentially correlated reporting behaviors such as correlated response scales when analyzing the relationship between subjective variables such as self-reported pain and SWB. Exploiting detailed data on individual time use and several complementary measures of SWB, including fine-grained activity-specific affective experiences derived from an abbreviated version of the Day Reconstruction Method, we find that both evaluative and experienced well-being are markedly lower for people living with pain compared to those without pain. These disparities persist even after controlling for possible confounding from reporting behaviors through the use of anchoring vignettes. Differences in experienced utility by pain status appear to be exclusively due to worse affective experiences during daily activities for those with pain, which seem to be partially mediated through changes in their functional limitations. Pain-related differences in time use, in turn, seem to provide only small compensating effects, underscoring important challenges to the use of changed activity patterns as a viable coping strategy for individuals enduring pain.

What Is a Disease for Doctors? A Realist Thematic Qualitative Analysis of the Interpretation of Clinical Vignettes.

Given the long-standing debate about the nature of the concept of disease, the objective of this study was to understand how doctors categorize a condition as a disease or not, and what the kind of information they use is. A survey with a set of eighteen clinical vignettes was designed, and nineteen physicians and senior students purposefully selected were asked to interpret those situations as diseases or not and to produce an anonymous short written piece of text providing the motivation of their choice. Realist thematic analysis was used to analyse the answers, and four themes emerged: the temporal dimension of a disease, reification of disease, disease as an existential condition, and disease as a motivation to action. The respondents' interpretations were very heterogeneous, supporting the idea that physicians do not share a common prototypical concept of disease. The results suggested that the interpretation of a condition as a disease or not is the final outcome of a process, in which information from objective, subjective, and socially mediated elements is taken into consideration. According to a critical realist and systemic approach, we hypothesize that the context of doctor-patient relationship could influence the interpretation of the same condition as being a disease or not.

The medical competence of health care providers in sub-Saharan Africa: Evidence from 16 127 providers across 11 countries.

Despite a consensus that quality of care is critically deficient in low-income countries, few nationally representative studies provide comparable measures of quality of care across countries. To address this gap, we used nationally representative data from in-person administrations of clinical vignettes to measure the competence of 16 127 health care providers across 11 sub-Saharan African countries. Rather than large variations across countries, we found that 81% of the variation in competence is within countries and the characteristics of health care providers do not explain most of this variation. Professional qualifications-including cadre and education-are only weakly associated with competence: across our sample, one-third of nurses are more competent than the average doctor in the same country and one-quarter of doctors are less competent than the average nurse. Finally, while younger cohorts do tend to be more competent, perhaps reflecting improvements in medical education, it would take 25 decades of turnover to improve care by 10 percentage points, on average, if we were to rely on such improvements alone. These patterns necessitate a fundamentally different approach to health care human resource management, calling into question typical staffing policies based on qualifications and seniority rather than directly measured quality.

Tanzanian adolescents' attitudes toward abortion: innovating video vignettes in survey research on health topics.

BACKGROUND: The purpose of this study was to pilot an innovative cartoon video vignette survey methodology to learn about young people's perspectives on abortion and sexual relationships in Tanzania. The Animating Children's Views methodology used videos shown on tablets to engage young people in conversations. Such conversations are complicated because abortion is highly stigmatized, inaccessible, and illegal in Tanzania. METHODS: The cartoon video vignette methodology was conducted as a part of a quantitative survey using tablet computers. Hypothetical situations and euphemistic expressions were tested in order to engage adolescents on sensitive topics in low-risk ways. Qualitative interviews and focus groups validated and further explored the perspectives of the young respondents. RESULTS: Results indicate that 12-17 year-olds usually understand euphemistic expressions for abortion and are aware of social stigma and contradictory norms surrounding abortion from as young as age twelve. Despite the risks involved with abortion, this study finds adolescents sometimes view abortion as a reasonable solution to allow a girl to remain in school. Additional findings show that as adolescents wrestle with how to respond to a schoolgirl's pregnancy, they are considering both the (un)affordability of healthcare services and also expectations for gender roles. CONCLUSIONS: Digital data collection, such as the Animating Children's Views cartoon video vignettes used in this study, allows researchers to better understand girls' and boys' own perspectives on their experiences and reproductive health.

The Animating Children's Views project used cartoon video vignettes to collect quantitative and qualitative data on girls' and boys' (infrequently included) perspectives about this sensitive topic as these young people aged into and figured out how to navigate sexual maturity in rural and urban Tanzania. This novel survey technique leveraged digital technology to better engage young people's perspectives about sensitive health topics. Despite the risks involved with abortion, this study finds adolescents sometimes view abortion as a reasonable solution to allow a girl to remain in school. Additional findings show that as adolescents wrestle with how to respond to a schoolgirl's pregnancy, they are considering both the (un)affordability of healthcare services and also expectations for gender roles. We argue that digital data collection allows survey research to include girls and boys, to better understand how reproductive health outcomes are inextricably linked to their future lives.

The construct validity of attitudes toward sex offenders (ATS) scale: ATS is more strongly linked to the acceptance of sex offenders than other offenders or non-offenders.

Negative attitudes toward offenders may hinder the rehabilitation process. The present study examines the relationship between attitudes toward sex offenders and stated acceptance of offenders and non-offenders into various aspects of daily life. Sixty female members of the public (18-50 years old, UK residents, recruited by word of mouth and via social media) completed an attitudes towards sex offenders (ATS) scale and indicated for each of eight vignettes describing ex-offenders and non-offenders whether they would accept them in various situations (housing, employment, day-to-day activities). Results indicate that in this group of female participants, harsher attitudes toward sex offenders are associated with lower acceptance of sex offenders (around 50% less acceptance) and other offenders (around 25% less acceptance), but not non-offenders, suggesting a tight coupling between attitudes and acceptance. The observed coupling between attitudes toward sex offenders and acceptance of offenders suggests that it will be difficult to change one without changing the other.