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Objective: To achieve consensus on critical steps and create an assessment tool for actual and simulated pediatric tracheostomy emergencies that incorporates human and systems factors along with tracheostomy‐specific steps. Methods: A modified Delphi method was used. Using REDCap software, an instrument comprising 29 potential items was circulated to 171 tracheostomy and simulation experts. Consensus criteria were determined a priori with a goal of consolidating and ordering 15 to 25 final items. In the first round, items were rated as "keep" or "remove". In the second and third rounds, experts were asked to rate the importance of each item on a 9‐point Likert scale. Items were refined in subsequent iterations based on analysis of results and respondents' comments. Results: The response rates were 125/171 (73.1%) for the first round, 111/125 (88.8%) for the second round, and 109/125 (87.2%) for the third round. 133 comments were incorporated. Consensus (>60% participants scoring ≥8, or mean score >7.5) was reached on 22 items distributed across three domains. There were 12, 4, and 6 items in the domains of tracheostomy‐specific steps, team and personnel factors, and equipment respectively. Conclusions: The resultant assessment tool can be used to assess both tracheostomy‐specific steps as well as systems factors affecting hospital team response to simulated and clinical pediatric tracheostomy emergencies. The tool can also be used to guide debriefing discussions of both simulated and clinical emergencies, and to spur quality improvement initiatives. Level of Evidence: 5 Laryngoscope, 133:3588–3601, 2023 [ABSTRACT FROM AUTHOR]

Purpose: We aimed to help community stakeholders develop a shared understanding of the opioid crisis through qualitative system dynamics (SD) modeling to inform local strategies for prevention and treatment. Methods: As part of the HEALing Communities Study-New York State, we used secondary qualitative data from community stakeholder interviews and coalition meeting notes to develop qualitative SD models that elucidate the interdependencies and feedback structures underlying the opioid epidemic in each community. Results: The synthesized model revealed multiple balancing and reinforcing feedback loops that influenced the adoption and reach of evidence-based practices to reduce opioid overdose and fatality. Conclusion: SD modeling is a novel approach to helping community stakeholders to see the inter-connectedness of actors, factors and sectors and the need for multiple mutually reinforcing strategies to avert opioid overdose and fatality. Social workers could play a key role in linking actions across sectors in such a complex system. [ABSTRACT FROM AUTHOR]

Aims: To assess clinicians' self‐reported knowledge of current policies in African oncology settings, of their personal communication practices around sharing bad news with patients, and to identify barriers to the sharing of serious news in these settings. Methods: A cross‐sectional study of cancer care providers in African oncology settings (N = 125) was conducted. Factor analysis was used to assess cross‐cultural adaptation and uptake of an evidence‐based protocol for disclosing bad news to patients with cancer and of providers' perceived barriers to disclosing bad news to patients with cancer. Analysis of Various (ANOVA) was used to assess strength of association with each dimension of these two measurement models by various categorical variables. Results: Providers from Nigeria, Kenya, Ghana, and Rwanda represented 85% of survey respondents. Two independent, psychometrically reliable, multi‐dimensional measurement models were derived to assess providers' personal communication practices and providers' perceived barriers to disclosing a cancer diagnosis. Forty percent (40%) of respondent nurses but only 20% of respondent physicians had had formal communications skills training. Approximately 20%–25% of respondent physicians and nurses reported having a consistent plan or strategy for communicating bad news to their cancer patients. Conclusions: Results show that effective communication about cancer diagnosis and prognosis requires an appreciation and clinical skill set that blends an understanding of cancer‐related internalized stigmas harbored by patient and family, dilemmas posed by treatment affordability, and the need to navigate family wishes about cancer‐related diagnoses in the context of African oncology settings. Findings underscore the need for culturally grounded communications research and program design. [ABSTRACT FROM AUTHOR]

Introduction: Non-communicable diseases (NCDs) are a rapidly emerging global health challenge with multi-level determinants popularly known as social determinants. The objective of this paper is to describe the individual and community experiences of NCDs in the two case districts of Nepal from a social determinants of health perspective. Method: This study adopted qualitative study design to identify the experiences of NCDs. Sixty-three interviews were conducted with key informants from different sectors pertinent to NCD prevention at two case districts and at the policy level in Nepal. Twelve focus group discussions were conducted in the selected communities within those case districts. Data collection and analysis were informed by the adapted Social Determinants of Health Framework. The research team utilised the framework approach to carry out the thematic analysis. The study also involved three sense-making workshops with policy level and local stakeholders. Results: Three key themes emerged during the analysis. The first theme highlighted that individuals and communities were experiencing the rising burden of NCDs and metabolic risks in both urban and rural areas. The other two themes elaborated on the participant's experiences based on their socio-economic background and gender. Disadvantaged populations were more vulnerable to the risk of NCDs. Further, being female put one into an even more disadvantaged position in experiencing NCD risks and accessing health services. Conclusion: The findings indicated that key social determinants such as age, geographical location, socio-economic status and gender were driving the NCD epidemic. There is an urgent need to take action on social determinants of health through multi-sectoral action, thus also translating the spirit of the recommendations made a decade ago by the Commission on Social Determinants of Health in addressing a complex challenge like NCDs in Nepal. [ABSTRACT FROM AUTHOR]

Background: The inclusion of social determinants of health is mandated for undergraduate medical education. However, little is known about how to prepare preclinical students for real-world screening and referrals for addressing social determinants of health. Objective: This pilot project's objective was to evaluate the feasibility of using a real-world, service-based learning approach for training preclinical students to assess social needs and make relevant referrals via the electronic medical record during the COVID-19 pandemic (May to June 2020). Methods: This project was designed to address an acute community service need and to teach preclinical, second-year medical student volunteers (n=11) how to assess social needs and make referrals by using the 10-item Social Determinants of Health Screening Questionnaire in the electronic health record (EHR; Epic platform; Epic Systems Corporation). Third-year medical student volunteers (n=3), who had completed 6 clinical rotations, led the 2-hour skills development orientation and were available for ongoing mentoring and peer support. All student-patient communication was conducted by telephone, and bilingual (English and Spanish) students called the patients who preferred to communicate in Spanish. We analyzed EHR data extracted from Epic to evaluate screening and data extracted from REDCap (Research Electronic Data Capture; Vanderbilt University) to evaluate community health workers' notes. We elicited feedback from the participating preclinical students to evaluate the future use of this community-based service learning approach in our preclinical curriculum. Results: The preclinical students completed 45 screening interviews. Of the 45 screened patients, 20 (44%) screened positive for at least 1 social need. Almost all of these patients (19/20, 95%) were referred to the community health worker. Half (8/16, 50%) of the patients who had consultations with the community health worker were connected with a relevant social service resource. The preclinical students indicated that project participation increased their ability to assess social needs and make needed EHR referrals. Food insecurity was the most common social need. Conclusions: Practical exposure to social needs assessment has the potential to help preclinical medical students develop the ability to address social concerns prior to entering clinical clerkships in their third year of medical school. The students can also become familiar with the EHR prior to entering third-year clerkships. Physicians, who are aware of social needs and have the electronic medical record tools and staff resources needed to act, can create workflows to make social needs assessments and services integral components of health care. Research studies and quality improvement initiatives need to investigate how to integrate screening for social needs and connecting patients to the appropriate social services into routine primary care procedures. [ABSTRACT FROM AUTHOR]

Access to fresh and healthy food within a neighborhood has been identified as a social mechanism contributing to community health. Grounded in the understanding that challenges related to equity within a food system are both structural and systemic, our research demonstrates how systems thinking can further understandings of food system complexity. Within systems thinking, we provide an illustration of how system archetypes offer an analytic tool for examining complex community issues. We map semi‐structured interview data from community stakeholders (N = 22) to the "Fixes that Fail" system archetype to illuminate systemic challenges, such as incarceration and poverty, that structure food system inequity in urban communities. Within our research, the "Fixes that Fail" archetype provided a narrative interpretive tool for unveiling complexity within the food system and interdependencies with racialized systems such as criminal justice and labor markets. This system archetype provided an accessible approach for generating narratives about systemic complexity, the production of inequity through racialized forces, and opportunities for transformation. Highlights: Research demonstrates how systems thinking can further understandings of food system complexityProvides an illustration of system archetypes as an analytic tool for complex community issuesIlluminates systemic challenges (i.e. incarceration and poverty) that structure food system inequityThe reduction of incarceration rates identified as a key lever of an equitable food systemCommunity ownership of initiatives, housing, and wealth is essential to address structural racism [ABSTRACT FROM AUTHOR]

Introduction: Little is known about how pharmacists' attitudes and stigma toward naloxone and Medication for opioid use disorder (MOUD) influence effective linkage to treatment. We examine the psychometrics of a new Pharmacist Opioid Use Disorder Perceptions Questionnaire (P-OUDP-Q), a multidimensional measure to examine pharmacists' stigma and perceptions related to MOUD in the New York State (NYS) site of the HEALing Communities Study., Methods: The study recruited a sample of 324 pharmacists from 16 counties in NYS between January and June 2022. A 74-item questionnaire assessed pharmacists' familiarity with opioid-related medications, protocols, policies and attitudes regarding their role, confidence, and beliefs centered around delivery of MOUD and naloxone in the community. Exploratory factor analysis assessed individual and community-level factors associated with four underlying constructs. Factor scores were compared across the demographic predictors. Variables factor loadings <0.4 were eliminated from the factor analysis and the process was reiterated., Results: Eighty-six percent (n = 280) of the pharmacists were white. A little over half, 57 % (n = 186), were female, 35 % (n = 113) were 30-35 years old. The mean number of years practicing (SD) was 18 (SD: 13). Exploratory factor analysis identified four underlying constructs: (1) practice confidence, (2) practice familiarity, (3) practice attitudes, and (4) methadone attitudes. Statistically significant (p < .05) mean factor scale score differences by race were observed for practice familiarity (white reporting higher than non-white); by pharmacy size for practice familiarity (across all groups; non-significant Tukey post-hoc) and practice attitudes (hospital/clinic greater than big chain pharmacies); by gender (males greater than females) for practice familiarity and methadone attitudes; by poverty quartile for practice attitudes (lowest less than highest quartile); and urban versus rural pharmacist county setting for practice familiarity (rural greater than urban)., Conclusions: Findings show the P-OUDP-Q is a concise measure of pharmacists' perceptions of their role in dispensing MOUD and naloxone, including distinct "stigma" dimensions, which is valuable for use with pharmacists in communities highly impacted by the opioid epidemic. The development and validation of a reliable measure to assess pharmacists' perceptions of stigma and barriers represents a valuable contribution to the field, to inform the design/implementation of targeted interventions and support systems., (Copyright © 2024. Published by Elsevier Inc.)

Introduction: The use of digital technology in HIV-related interventions and implementation strategies is increasing. Whether the use of technology is to directly improve patient outcomes (ie, part of the intervention) or as part of the strategy to implement interventions has important implications. In this article, we present 5 case studies of projects that feature the use of technology in HIV-related implementation research to identify and describe challenges specific to technology-based implementation research about study design, outcome measurement, implementing in an evolving technology landscape, and equity., Methods: For each case study, we identified the technological components, classified the components as intervention or implementation strategy, and identified implications for measuring performance and ensuring equity. The Exploration, Preparation, Implementation, and Sustainment framework was used to identify the research stage of each project., Results: Technology is being leveraged across a diverse array of implementation strategies to promote Ending the HIV Epidemic in the United States. The case studies were primarily in the exploration and preparation phases of implementation, yet technology played a different role in each project- developing educational materials, mass media to recruit participants or distribute evidence-based campaigns, providing training, guiding tailoring, and implementing novel methods to democratize intervention development., Discussion: Technology can play multiple roles in HIV-related implementation research projects, including serving as the intervention, being leveraged within implementation strategies, or both. We identified multiple considerations across projects that should be taken into account when measuring success and planning for equitable and sustained impact., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)