Structural Racism Conceptualization and Operationalization for Research for the U.S. HIV Epidemic: Findings from a Scoping Review and Implications for Advancing Research for Structural Interventions.

In the U.S., inequities by race/ethnicity in health outcomes, such as in the HIV epidemic, are long standing but have come to the forefront during the COVID-19 pandemic. There is growing recognition of the role of structural racism in racialized health inequities, yet the conceptualization and operationalization of structural racism in HIV research lags. We conducted a scoping review of existing published literature, between 1999-April 2024, conceptualizing and measuring structural racism's impact among people living with or at risk for HIV in the U.S. Our initial search yielded 236 unique articles, which after title and abstract screening yielded ten articles meeting full text review criteria. We then extracted key parameters, such as conceptualization, method of measurement of structural racism, study aims, design, and findings. Three of the articles were qualitative studies that conceptualized structural racism using (1) the social network model, (2) individual and structural intersectionality and (3) critical race theory. Operationalization of structural racism within the seven quantitative studies fell into three categories: (1) structural level, (2) a scale of experiences of racism, including structural racism, and (3) using explanatory demographic factors as downstream measures of the effects of structural racism. The variance in the conceptualization and operationalization of structural racism highlights the different interpretations of structural racism in its applications to the field of HIV research. Given the vast racial/ethnic inequities in HIV, we propose three overarching suggestions for next steps in improving the conduct of research on structural racism in HIV: (1) we must prioritize measuring racism past the individual and interpersonal levels to consider systemic factors at a societal level that manifest as structural racism to improve HIV outcomes in the U.S., (2) consider intergenerational effects of structural racism through the use of longitudinal data, and (3) broaden the agenda of structural racism to incorporate other systems of oppression. Additionally, broadening the scope of funding and inclusion of more researchers and individuals with lived experiences to support structural racism research to drive the scientific agenda and design of structural-level interventions will not only bolster achieving the U.S. Ending the HIV Epidemic goals but will do so by addressing inequities.

Implications of the syntheses on definition, theory, and methods conducted by the Response Shift - in Sync Working Group.

PURPOSE: Our aim is to advance response shift research by explicating the implications of published syntheses by the Response Shift - in Sync Working Group in an integrative way and suggesting ways for improving the quality of future response shift studies. METHODS: Members of the Working Group further discussed the syntheses of the literature on definitions, theoretical underpinnings, operationalizations, and response shift methods. They outlined areas in need of further explication and refinement, and delineated additional implications for future research. RESULTS: First, the proposed response shift definition was further specified and its implications for the interpretation of results explicated in relation to former, published definitions. Second, the proposed theoretical model was further explained in relation to previous theoretical models and its implications for formulating research objectives highlighted. Third, ways to explore alternative explanations per response shift method and their implications for response shift detection and explanation were delineated. The implications of the diversity of the response shift methods for response shift research were presented. Fourth, the implications of the need to enhance the quality and reporting of the response shift studies for future research were sketched. CONCLUSION: With our work, we intend to contribute to a common language regarding response shift definitions, theory, and methods. By elucidating some of the major implications of earlier work, we hope to advance response shift research.

Systematic examination of methodological inconsistency in operationalizing cognitive reserve and its impact on identifying predictors of late-life cognition.

BACKGROUND: Cognitive reserve (CR) is the ability to maintain cognitive performance despite brain pathology. CR is built through lifecourse experiences (e.g., education) and is a key construct in promoting healthy aging. However, the operationalization of CR and its estimated association with late-life cognition varies. The purpose of this study was to systematically examine the operationalization of CR and the relationship between its operationalization and late-life cognition. METHODS: We performed a comprehensive review of experiences (proxies) used to operationalize CR. The review informed quantitative analyses using data from 1366 participants of the Memory and Aging Project to examine 1) relationships between proxies and 2) the relationship between operationalization and late-life cognition. We also conducted a factor analysis with all identified CR experiences to create a composite lifecourse CR score. Generalized linear mixed models examined the relationship between operationalizations and global cognition, with secondary outcomes of five domains of cognition to examine consistency. RESULTS: Based on a review of 753 articles, we found the majority (92.3%) of the 28 commonly used proxies have weak to no correlation between one another. There was substantial variability in the association between operationalizations and late-life global cognition (median effect size: 0.99, IQR: 0.34 to 1.39). There was not strong consistency in the association between CR operationalizations and the five cognitive domains (mean consistency: 56.1%). The average estimate for the 28 operationalizations was 0.91 (SE = 0.48), compared to 2.48 (SE = 0.40) for the lifecourse score and it was associated with all five domains of cognition. CONCLUSIONS: Inconsistent methodology is theorized as a major limitation of CR research and barrier to identification of impactful experiences for healthy cognitive aging. Based on the weak associations, it is not surprising that the relationship between CR and late-life cognition is dependent on the experience used to operationalize CR. Scores using multiple experiences across the lifecourse may help overcome such limitations. Adherence to a lifecourse approach and collaborative movement towards a consensus operationalization of CR are imperative shifts in the study of CR that can better inform research on risk factors related to cognitive decline and ultimately aid in the promotion of healthy aging.

Neighborhood disadvantage and adolescent behavior problems: how do inferences differ across definitions of disadvantage?

BACKGROUND: Various definitions of neighborhood disadvantage (ND) exist, yet evidence is lacking on how ND operationalization may impact scientific inference. METHODS: We used data from wave 6 of the Fragile Families study, excluding those without census tract or behavior problem data (n = 2363). Outcomes included five scales from the caregiver-reported Child Behavior Checklist (CBCL) and a self-reported delinquency scale. ND was defined in four ways: (1) a modified Sampson definition which included four neighborhood poverty variables; (2) a poverty-only definition which only included percent households below poverty; (3) an overextended definition which added a mediator between the ND-behavior relationship, and (4) an expanded definition which added six additional ND variables to the modified Sampson definition. Using effect estimates from generalized linear models, differences were calculated using percent change-in-estimate, with the modified Sampson as the referent. RESULTS: Effect estimates were similar for the modified Sampson and expanded definitions (< 5% difference). The poverty-only definition differed from the modified Sampson unsystematically. Estimates for the overextended definition were consistently larger compared to modified Sampson (10-37% greater). The expanded and modified Sampson definitions produced similar results. CONCLUSION: Poverty-only and overextended ND definitions should be interpreted with caution.

Supporting Adolescent Engagement with Artificial Intelligence-Driven Digital Health Behavior Change Interventions.

Understanding and optimizing adolescent-specific engagement with behavior change interventions will open doors for providers to promote healthy changes in an age group that is simultaneously difficult to engage and especially important to affect. For digital interventions, there is untapped potential in combining the vastness of process-level data with the analytical power of artificial intelligence (AI) to understand not only how adolescents engage but also how to improve upon interventions with the goal of increasing engagement and, ultimately, efficacy. Rooted in the example of the INSPIRE narrative-centered digital health behavior change intervention (DHBCI) for adolescent risky behaviors around alcohol use, we propose a framework for harnessing AI to accomplish 4 goals that are pertinent to health care providers and software developers alike: measurement of adolescent engagement, modeling of adolescent engagement, optimization of current interventions, and generation of novel interventions. Operationalization of this framework with youths must be situated in the ethical use of this technology, and we have outlined the potential pitfalls of AI with particular attention to privacy concerns for adolescents. Given how recently AI advances have opened up these possibilities in this field, the opportunities for further investigation are plenty.

[Who is afraid of Ockham's razor? : A discourse analysis on resilience in palliative care (2000-2021)]. / Wer hat Angst vor "Ockham's Razor"? : Eine Diskursanalyse zur Resilienz in der Palliativversorgung (2000­2021).

BACKGROUND: The concept of resilience is becoming increasingly disseminated from material science into various fields of science. It is infiltrating medical fields predominantly via psychology and is also recommended for coping with the special burdens in pain management and palliative care. A precise definition of the term and its operationalization pose problems. AIM: A critical stocktaking of the use of this term in the discourse of palliative care research. METHOD: Analytical discourse analysis of a text corpus from palliative medical care publications in the time period from 2000 to 2021, obtained by means of a systematic literature search. RESULTS: In the research discourse of palliative care, resilience is a topic primarily as a strategy for self-optimization of employees (e.g., burnout prophylaxis with the aim of preserving the workforce). Only rarely does the question of whether it offers potential for patients and their families take center stage, and then more as a catchword than as a concrete concept. The reason is that there is so far no adequate operationalization of the concept of resilience. Furthermore, there is a lack of sufficient justification for the relevance of the concept in patient care of palliative medicine. CONCLUSION: There is a lack of qualified contributions of palliative research to the metadiscourse about resilience, especially in the context of affected patients. A successful operationalization of the term requires a highly complex multidimensionality of the palliative path of an interdisciplinary approach. There is a lack of ethical standards that prevent an affirmative instrumentalizing application of the term.

Biologically grounded scientific methods: The challenges ahead for combating epidemics.

The protracted COVID 19 pandemic may indicate failures of scientific methodologies. Hoping to facilitate the evaluation and/or update of methods relevant in Biomedicine, several aspects of scientific processes are here explored. First, the background is reviewed. In particular, eight topics are analyzed: (i) the history of Higher Education models in reference to the pursuit of science and the type of student cognition pursued, (ii) whether explanatory or actionable knowledge is emphasized depending on the well- or ill-defined nature of problems, (iii) the role of complexity and dynamics, (iv) how differences between Biology and other fields influence methodologies, (v) whether theory, hypotheses or data drive scientific research, (vi) whether Biology is reducible to one or a few factors, (vii) the fact that data, to become actionable knowledge, require structuring, and (viii) the need of inter-/trans-disciplinary knowledge integration. To illustrate how these topics interact, a second section describes four temporal stages of scientific methods: conceptualization, operationalization, validation and evaluation. They refer to the transition from abstract (non-measurable) concepts (such as 'health') to the selection of concrete (measurable) operations (such as 'quantification of ́anti-virus specific antibody titers'). Conceptualization is the process that selects concepts worth investigating, which continues as operationalization when data-producing variables viewed to reflect critical features of the concepts are chosen. Because the operations selected are not necessarily valid, informative, and may fail to solve problems, validations and evaluations are critical stages, which require inter/trans-disciplinary knowledge integration. It is suggested that data structuring can substantially improve scientific methodologies applicable in Biology, provided that other aspects here mentioned are also considered. The creation of independent bodies meant to evaluate biologically oriented scientific methods is recommended.

Operationalizing the distribution of oral HIV self-testing kits to men who have sex with men (MSM) in a highly homophobic environment: the Nigerian experience.

BACKGROUND: Self-care health interventions are innovative approaches for improving health and achieving the sustainable development goals (SDGs). Men who have sex with men (MSM) have been disproportionately affected by Human Immunodeficiency Virus (HIV). In spite of this, stigma from healthcare workers has reportedly prevented MSM from accessing HIV testing in health facilities. This paper explored the operationalization of using key opinion leaders (KOLs) to distribute HIVST (HIV self-test) kits to MSM. This qualitative survey used a combination of in-depth interviews (IDI) with HIVST users and focus group discussions (FGDs) with KOLs to collect data three months after the distribution of the test kits by the KOLs. Thematic analysis of the data was carried out. RESULT: Three themes were generated namely: KOLs serve as a trusted resource to promote and support HIVST for the MSM community; Skills and qualifications required for KOLs to effectively distribute and promote uptake of HIVST; and Effective strategies used to create demand and promote uptake of HIVST. CONCLUSION: This study showed the practical steps involved in operationalizing KOL support system distribution of HIVST that positively influenced the testing experience for the participants irrespective of the HIV status and engagement in care. KOLs are a reliable resource to leverage for ensuring that HIV self-test kit is utilized and HIV positive individuals are linked to treatment and care in homophobic environments.

Capacities for resilience in healthcare; a qualitative study across different healthcare contexts.

BACKGROUND: Despite an emerging consensus on the importance of resilience as a framework for understanding the healthcare system, the operationalization of resilience in healthcare has become an area of continuous discussion, and especially so when seeking operationalization across different healthcare contexts and healthcare levels. Different indicators for resilience in healthcare have been proposed by different researchers, where some indicators are coincident, some complementary, and some diverging. The overall aim of this article is to contribute to this discussion by synthesizing knowledge and experiences from studies in different healthcare contexts and levels to provide holistic understanding of capacities for resilience in healthcare. METHODS: This study is a part of the first exploratory phase of the Resilience in Healthcare programme. The exploratory phase has focused on screening, synthesising, and validating results from existing empirical projects covering a variety of healthcare settings. We selected the sample from several former and ongoing research projects across different contexts and levels, involving researchers from SHARE, the Centre for Resilience in Healthcare in Norway. From the included projects, 16 researchers participated in semi-structured interviews. The dataset was analysed in accordance with grounded theory. RESULTS: Ten different capacities for resilience in healthcare emerged from the dataset, presented here according to those with the most identified instances to those with the least: Structure, Learning, Alignment, Coordination, Leadership, Risk awareness, Involvement, Competence, Facilitators and Communication. All resilience capacities are interdependent, so effort should not be directed at achieving success according to improving just a single capacity but rather at being equally aware of the importance and interrelatedness of all the resilience in healthcare capacities. CONCLUSIONS: A conceptual framework where the 10 different resilience capacities are presented in terms of contextualisation and collaboration was developed. The framework provides the understanding that all resilience capacities are associated with contextualization, or collaboration, or both, and thereby contributes to theorization and guidance for tailoring, making operationalization efforts for the identified resilience capacities in knowledge translation. This study therefore contributes with key insight for intervention development which is currently lacking in the literature.

Implementing compassion in pediatric healthcare: A qualitative study of Canadian patients', parents', and healthcare providers' perspectives.

BACKGROUND: Compassion has received significant scholarly attention over the past decade. Research has been largely theoretical, with interventions focused on self-care practices of healthcare providers (HCPs), rather than implementation at a systems level. This study aimed to identify how compassion can be operationalized within pediatric healthcare. DESIGN AND METHODS: Data was analyzed from a secondary dataset of a larger Straussian grounded theory study of perspectives and experiences of compassion in pediatric healthcare. Patients (n = 33); parents (n = 16); and HCPs (n = 17) were asked specifically how compassion could be implemented within the clinical culture and healthcare system. RESULTS: 66 participants generated an operational model of compassion indicating how compassion could be implemented across the organization and larger healthcare system. The data revealed four themes and associated subthemes: teach and train; recognize and reward; measure and report; and embed compassion across the healthcare system. CONCLUSIONS: Improving compassion in pediatric healthcare needs to extend beyond the efforts of individual HCPs. Compassion is the responsibility of the entire healthcare system and needs to traverse the patient and family experience. In addition to embedding compassion in policy, procedures, practice, and education, compassion should be considered a performance indicator that is measured and reported. PRACTICE IMPLICATIONS: This study provides a preliminary framework for organizational leaders to operationalize compassion across the services, structures, polices, procedures and practices of pediatric healthcare. This includes ongoing compassion training across the organization; assessing compassion, recognizing compassion as a performance indicator, and ensuring that the infrastructure and ancillary services of the organization reflect compassion.

Cognition in Successful Aging: Systematic Review and Future Directions.

Objectives: To characterize the inclusion of cognition in definitions of successful aging (SA) according to empirical studies published in peer-reviewed journals.Methods: A systematic review across ISI Web of Knowledge.Results: Of the 74 included studies, there were 65 studies (87.8%) analyzing cognition as one component of multicomponent SA model (cognitive component studies), and 9 studies (12.2%) focusing solely on successful cognitive aging (SCA studies). Most of the studies operationalized cognition in SA by defining SA group and analyzing single SA indicators. A minority of the studies calculated the SA index. Finally, emergent techniques to operationalize SA as a latent variable and emergent field of cognition in SA in pathology were identified.Conclusions: The results highlight that cognition is being included in SA using different levels of complexity. Even though research investigating SA in pathology is emerging, there is currently a lack of utilization of the concept in pathological and at-risk populations.Clinical implications: The current research of cognition in SA provides several valid options to evaluate if a person is aging successfully. The emerging research indicates that people from at-risk and pathological populations can age successfully.

There's an App for That: Development of an Application to Operationalize the Global Diet Quality Score.

BACKGROUND: The global diet quality score (GDQS) is a simple, standardized metric appropriate for population-based measurement of diet quality globally. OBJECTIVES: We aimed to operationalize data collection by modifying the quantity of consumption cutoffs originally developed for the GDQS food groups and to statistically evaluate the performance of the operationalized GDQS relative to the original GDQS against nutrient adequacy and noncommunicable disease (NCD)-related outcomes. METHODS: The GDQS application uses a 24-h open-recall to collect a full list of all foods consumed during the previous day or night, and automatically classifies them into corresponding GDQS food group. Respondents use a set of 10 cubes in a range of predetermined sizes to determine if the quantity consumed per GDQS food group was below, or equal to or above food group-specific cutoffs established in grams. Because there is only a total of 10 cubes but as many as 54 cutoffs for the GDQS food groups, the operationalized cutoffs differ slightly from the original GDQS cutoffs. RESULTS: A secondary analysis using 5 cross-sectional datasets comparing the GDQS with the original and operationalized cutoffs showed that the operationalized GDQS remained strongly correlated with nutrient adequacy and was equally sensitive to anthropometric and other clinical measures of NCD risk. In a secondary analysis of a longitudinal cohort study of Mexican teachers, there were no differences between the 2 modalities with the beta coefficients per 1 SD change in the original and operationalized GDQS scores being nearly identical for weight gain (-0.37 and -0.36, respectively, P < 0.001 for linear trend for both models) and of the same clinical order of magnitude for waist circumference (-0.52 and -0.44, respectively, P < 0.001 for linear trend for both models). CONCLUSION: The operationalized GDQS cutoffs did not change the performance of the GDQS and therefore are recommended for use to collect GDQS data in the future.

A cost analysis to address issues of budget constraints on the implementation of the indoor residual spray programme in two districts of Maputo Province, Mozambique.

BACKGROUND: It is frequently said that funding is essential to ensure optimal results from a malaria intervention control. However, in recent years, the capacity of the government of Mozambique to sustain the operational cost of indoor residual spraying (IRS) is facing numerous challenges due to restrictions of the Official Development Assistance. The purpose of the study was to estimate the cost of IRS operationalization in two districts of Maputo Province (Matutuíne and Namaacha) in Mozambique. The evidence produced in this study intends to provide decision-makers with insight into where they need to pay close attention in future planning in order to operationalize IRS with the existent budget in the actual context of budget restrictions. METHODS: Cost information was collected retrospectively from the provider perspective, and both economic and financial costs were calculated. A "one-way" deterministic sensitivity analysis was performed. RESULTS: The average economic costs totaled US$117,351.34, with an average economic cost per household sprayed of US$16.35, and an average economic cost per person protected of US$4.09. The average financial cost totaled US$69,174.83, with an average financial cost per household sprayed and per person protected of US$9.84 and US$2.46, respectively. Vehicle, salary, and insecticide costs were the greatest contributors to overall cost in the economic and financial analysis, corresponding to 52%, 17%, and 13% in the economic analysis and 21%, 27%, and 22% in the financial analysis, respectively. The sensitivity analysis was adapted to a range of ± (above and under) 25% change. There was an approximate change of 14% in the average economic cost when vehicle costs were decreased by 25%. In the financial analysis, the average financial cost was lowered by 7% when salary costs were decreased by 25%. CONCLUSIONS: Altogether, the current cost analysis provides an impetus for the consideration of targeted IRS operationalization within the available governmental budget, by using locally-available human resources as spray operators to decrease costs and having IRS rounds be correctly timed to coincide with the build-up of vector populations.

Critical examination of current response shift methods and proposal for advancing new methods.

PURPOSE: This work is part of an international, interdisciplinary initiative to synthesize research on response shift in results of patient-reported outcome measures. The objective is to critically examine current response shift methods. We additionally propose advancing new methods that address the limitations of extant methods. METHODS: Based on literature reviews, this critical examination comprises design-based, qualitative, individualized, and preference-based methods, latent variable models, and other statistical methods. We critically appraised their definition, operationalization, the type of response shift they can detect, whether they can adjust for and explain response shift, their assumptions, and alternative explanations. Overall limitations requiring new methods were identified. RESULTS: We examined 11 methods that aim to operationalize response shift, by assessing change in the meaning of one's self-evaluation. Six of these methods distinguish between change in observed measurements (observed change) and change in the construct that was intended to be measured (target change). The methods use either (sub)group-based or individual-level analysis, or a combination. All methods have underlying assumptions to be met and alternative explanations for the inferred response shift effects. We highlighted the need to address the interpretation of the results as response shift and proposed advancing new methods handling individual variation in change over time and multiple time points. CONCLUSION: No single response shift method is optimal; each method has strengths and limitations. Additionally, extra steps need to be taken to correctly interpret the results. Advancing new methods and conducting computer simulation studies that compare methods are recommended to move response shift research forward.

A scoping review on the measurement of transnationalism in migrant health research in high-income countries.

BACKGROUND: Migrants commonly maintain transnational ties as they relocate and settle in a new country. There is a growing body of research examining transnationalism and health. We sought to identify how transnationalism has been defined and operationalized in migrant health research in high income countries and to document which populations and health and well-being outcomes have been studied in relation to this concept. METHODS: We conducted a scoping review using the methodology recommended by the Joanna Briggs Institute (JBI). We searched nine electronic databases; no time restrictions were applied. Studies published in English or French in peer-reviewed journals were considered. Studies were eligible if they included a measure of transnationalism (or one of its dimensions; social, cultural, economic, political and identity ties and/or healthcare use) and examined health or well-being. RESULTS: Forty-seven studies, mainly cross-sectional designs (81%), were included; almost half were conducted in the United States. The majority studied immigrants, broadly defined; 23% included refugees and/or asylum-seekers while 36% included undocumented migrants. Definitions of transnationalism varied according to the focus of the study and just over half provided explicit definitions. Most often, transnationalism was defined in terms of social connections to the home country. Studies and measures mainly focused on contacts and visits with family and remittance sending, and only about one third of studies examined and measured more than two dimensions of transnationalism. The operationalization of transnationalism was not consistent and reliability and validity data, and details on language translation, were limited. Almost half of the studies examined mental health outcomes, such as emotional well-being, or symptoms of depression. Other commonly studied outcomes included self-rated health, life satisfaction and perceived discrimination. CONCLUSION: To enhance comparability in this field, researchers should provide a clear, explicit definition of transnationalism based on the scope of their study, and for its measurement, they should draw from validated items/questions and be consistent in its operationalization across studies. To enhance the quality of findings, more complex approaches for operationalizing transnationalism (e.g., latent variable modelling) and longitudinal designs should be used. Further research examining a range of transnationalism dimensions and health and well-being outcomes, and with a diversity of migrant populations, is also warranted.

Measuring capabilities in health and physical activity promotion: a systematic review.

BACKGROUND: The capability approach by Amartya Sen and Martha Nussbaum has gained increasing attention in the field of public health. As it combines individual, social and structural factors and shifts the focus of attention from the actual behavior towards available options for health behaviors that people can actually choose from, it may help advance our understanding of complex health issues. OBJECTIVES: The aim of this article is to identify and describe tools available to measure capabilities within the context of health, with a specific focus on capabilities for health-enhancing physical activity. METHOD: We conducted a systematic literature review using 11 databases covering scientific journal articles published in English or German between the years 2000 and 2020 with a focus on capabilities for health or physical activity. RESULTS: We found a total of 51 articles meeting our inclusion criteria. Four articles measured capabilities using qualitative methods, one combined qualitative and quantitative methods, while the rest used quantitative methods. We identified a total 11 different capability questionnaires, all showing moderate to good validity/reliability. Only one questionnaire and one interview-based tool specifically dealt with capabilities for health enhancing physical activity. CONCLUSION: Although we were able to identify measurement tools for capabilities in health, this review has shown that there is no generic tool available for the measurement across all population- and age-groups, and tools focusing on physical activity are scarce. However, our results can be used as guide for future projects that aim at measuring capabilities.

Systemic factors for enhancing intersectoral collaboration for the operationalization of One Health: a case study in India.

BACKGROUND: One Health is a collaborative, multisectoral, and transdisciplinary approach-working at the local, regional, national, and global levels-with the goal of achieving optimal health outcomes recognizing the interconnection between people, animals, plants, and their shared environment. Operationalization of the One Health approach is still unclear for various local health systems with their respective targets. In this scenario, the empirical study of intersectoral collaboration between the human and animal health systems provides an opportunity to investigate the appropriate strategies and their enabling factors at the local health system level. Thus, this study documented and validated the innovative strategy for intersectoral collaboration, focusing on effectual prevention and control of zoonotic diseases with its enabling factors for a city in western India, Ahmedabad. METHODS: This case study was conducted in three phases: phase I (qualitative data collection, i.e., vignette interview), phase II (quantitative data collection through modified policy Delphi), and phase III (participatory workshop). The vignette data were handled for content analysis, and the Delphi data, like other quantitative data, for descriptive statistics. The participatory workshop adapts the computerized Sensitivity Model® developed by Vester to analyse the health system dynamics. RESULT: Out of the possible 36 strategies, this study validated the top 15 essential (must-have) and five preferred (should-have) strategies for the study area. For operationalization of the One Health approach, the enabling factors that were identified through the systems approach are micro-level factors at the individual level (trust, leadership, motivation, knowledge), meso-level factors at the organizational level (human resource, capacity-building, shared vision, decision-making capacity, laboratory capacity, surveillance), macro-level factors at the system level (coordinated roles, relationships, common platform), and external factors outside of the system (guidelines/policies, community participation, a specific budget, political will, smart technology). DISCUSSION: This study reveals that the micro-level factors at the individual level are potential levers of the health system. More attention to these factors could be beneficial for the operationalization of the One Health approach. This study recommends a systems approach through a bottom-up exploration to understand the local health system and its enabling factors, which should be accounted for in formulating future One Health policies.

Steeling in Later Life: Exploring Age-Specific Effects of Varying Levels of Stress on Psychological Resilience.

The steeling effect suggests that "optimal" stress positively affects well-being by enhancing resilience. However, there is lack of longitudinal investigations in diverse age groups. The aim was to explore steeling in later life and potential predictors. The sample consisted of N = 195 participants. A 1-year longitudinal survey study was conducted. Sociodemographics, experienced stress, resilience resources, and satisfaction with life were assessed. Latent profile analysis was used to identify profiles that differ in the change of resilience resources over time and to examine differences between the profiles across the other study variables. Three profiles emerged: decreased resources (Decrease), stability of resources (Maintenance), and increased resources (Increase). "Decrease" was characterized by low, Maintenance by moderate, and Increase by high stress. Age influenced profile membership. While the results failed to support the classic steeling effect, with high stress associated with increased resilience resources, optimal stress was associated with the maintenance of resilience resources.

[Assessment and operationalization of the characteristic "gender" in representative population-based surveys: challenges and implications with the example of the GeSiD study]. / Erfassung und Operationalisierung des Merkmals "Geschlecht" in repräsentativen Bevölkerungsstichproben: Herausforderungen und Implikationen am Beispiel der GeSiD-Studie.

Representative quantitative surveys assess the participants' gender in order to allow for gender specific analyses of the research questions and to draw conclusions about the populations. This is important in order to develop information and interventions tailored to the target groups. However, although gender is no longer considered exclusively as a binary construct, it is still often surveyed through a binary variable with the response options woman/man or female/male. In this article, we discuss why this approach is outdated or incomplete and why a move away from this approach is important and necessary. Using the GeSiD study on "Health and Sexuality in Germany" as an example, in this discussion post we demonstrate how gender can be assessed by means of a two-step model in which the first step assesses gender assigned at birth and the second step the subjective gender affiliation. At the same time, we discuss the challenges that this approach brings along. We place the results of the GeSiD study into a larger context and discuss the implications and possibilities for operationalizing gender in representative surveys.

[Digital health literacy-conceptual contextualization, measurement, and promotion]. / Digitale Gesundheitskompetenz ­ Konzeptionelle Verortung, Erfassung und Förderung mit Fokus auf Kinder und Jugendliche.

The concept of digital health literacy can be regarded as the result of the increasing social permeation of digital media and their use in everyday life. Due to increasing accessibility and ubiquity, there is an increasing need not only for searching and finding, but especially for assessing the reliability as well as selecting and applying health information for one's own health concerns. In the context of digitization, it needs to be emphasized that users are not just passive recipients, but rather actively participate in the communication process by interacting with existing content or by sharing their own health-related information.With particular focus on children and adolescents, this paper provides an overview of the current state of research on digital health literacy. In addition to its terminological and conceptual foundations and its links with media literacy, the relationship between digital health literacy and social and health inequality is discussed. Inequalities are not only generated by access to digital media but, above all, by the skills required for their use. After an overview of available instruments is provided, initial reflections on how to promote the individual and structural dimension of digital health literacy with focus on school settings is given.