What Would Equitable Harm Reduction Look Like?

Structural determinants of health frameworks must express antiracism to be effective, but racial and ethnic inequities are widely documented, even in harm reduction programs that focus on person-centered interventions. Harm reduction strategies should express social justice and health equity, resist stigma and discrimination, and mitigate marginalization experiences among people who use drugs (PWUD). To do so, government and organizational policies that promote harm reduction must acknowledge historical and ongoing patterns of racializing drug use. This article gives examples of such racialization and offers recommendations about how harm reduction programming can most easily and effectively motivate equitable, antiracist care for PWUD.

Using community-based participatory research methods to build the foundation for an equitable integrated health data system within a Canadian urban context.

Health inequalities amplified by the COVID-19 pandemic have disproportionately affected racialized and equity-deserving communities across Canada. In the Municipality of Peel, existing data, while limited, illustrates that individuals from racialized and equity-deserving communities continue to suffer, receive delayed care, and die prematurely. In response to these troubling statistics, grassroots community advocacy has called on health systems leaders in Peel to work with community and non-profit organizations to address the critical data and infrastructure gaps that hinder addressing the social determinants of health in the region. To support these advocacy efforts, we used a community-based participatory research approach to understand how we might build a data collection ecosystem across sectors, alongside community residents and service providers, to accurately capture the data about the social determinants of health. This approach involved developing a community engagement council, defining the problem with the community, mapping what data is actively collected and what is excluded, and understanding experiences of sociodemographic data collection from community members and service providers. Guided by community voices, our study focused on sociodemographic data collection in the primary care context and identified which service providers use and collect these data, how data are used in their work, the facilitators and barriers to data use and collection. Additionally, we gained insight into how sociodemographic data collection could be respectful, safe, and properly governed from the perspectives of community members. From this study, we identify a set of eight recommendations for sociodemographic data collection and highlight limitations. This foundational community-based work will inform future research in establishing data governance in partnership with diverse and equity-deserving communities.

Case-Based Specialty Training for Medical Students to Elicit Social Determinants of Health.

Introduction: Without explicit education and training on how social determinants of health (SDoH) impact patient care and health outcomes, medical schools are failing to effectively equip future physicians to serve their patients. We created this workshop on health equity with a focus on SDoH to help students more effectively communicate with diverse populations. Methods: Third-year medical students and faculty were provided with class guides, learning objectives, role-play vignettes containing clerkship-specific history and physical exams, schedules, and discussion questions during a 2-hour session centered on SDoH. The workshop's impact was measured through mixed-methods analysis of surveys. Results: Based on pre- and postsurvey results from 87 participants, medical students strongly agreed that (1) SDoH factor more into a patient's health outcomes than the clinical encounter (pre: 67%, post: 87%), (2) it is their duty to gather information about SDoH (pre: 86%, post: 97%), (3) neighborhood safety is one of the key SDoH (pre: 88%, post: 97%), (4) they understood the impact of upstream interventions (pre: 35%, post: 93%), (5) they could efficiently screen all patients for SDoH at every medical encounter (pre: 27%, post: 86%), and (6) they could find preliminary resources to quickly assist patients in need of help regarding particular SDoH (pre: 26%, post: 85%). Discussion: This was the first iteration of this workshop; challenges involved piloting the content, time restraints, and organizational structure of the workshop design. Future directions include making SDoH curricula an integral part of undergraduate medical education and diverse clinical environments.

The Community Health Advocacy Initiative: A Longitudinal Experiential Curriculum in Community Engagement for Preclerkship Medical Students.

Introduction: Community partnership is a key strategy for addressing the social determinants of health and achieving health equity. There are few examples of curricula for undergraduate medical education that teach all, rather than self-selected, medical students to collaborate with community members to improve health. We describe the design and implementation of the Community Health Advocacy Initiative (CHAI) curriculum, a new yearlong educational program for medical students at Northwestern University's Feinberg School of Medicine. Methods: CHAI aimed to fill the curricular gap in social determinants of health education by providing medical students with the knowledge and skills to improve the health of patients through collaborations with community partners. This longitudinal curriculum included structured faculty mentorship and an applied community experience. Results: The CHAI curriculum was delivered to 164 second-year medical students in academic year 2021-2022. Faculty mentors rated most students as meeting expectations for application of community partnership principles and demonstration of professionalism. Qualitative analysis of faculty mentor comments demonstrated that medical students exhibited positive outcomes in engaging with community organizations, overcoming barriers, developing feasible and impactful goals, and advancing their own knowledge and skills. Discussion: Implementing a community health curriculum for all medical students is feasible and represents an important model for teaching about the importance of community partnerships in addressing the social determinants of health.

Assessment of adherence to treatment recommendations among patients with heart failure: a cross-sectional study.

BACKGROUND: Heart failure (HF) is a chronic condition characterized by significant impairment of the cardiovascular system, leading to a decline in health-related quality of life, recurrent hospitalizations, and increased mortality risk. It poses a substantial challenge for modern medicine, particularly when patients fail to adhere to therapeutic recommendations. The primary aim of this study was to evaluate the level of adherence to therapeutic guidelines among patients with HF and identify factors influencing adherence levels. METHODS: The study comprised 105 HF patients admitted to the cardiology department. A diagnostic survey approach was utilized, employing the Adherence in Chronic Diseases Scale (ACDS) along with a self-developed questionnaire. RESULTS: The findings revealed that 39.05% of participants exhibited a moderate level of adherence to therapeutic recommendations, while 34.29% reported high adherence and 26.67% displayed low adherence. Most of the patients (n = 66) had a rather good level of knowledge. Factors such as higher education (p < 0.001), engagement in mental work (p = 0.001), favorable socioeconomic status (p < 0.001), being in a stable relationship (p < 0.001), and residing with family (p < 0.001) were associated with increased adherence levels. The multivariable linear regression model indicated significant (p < 0.05) independent predictors that positively influenced the ACDS score, including being in a relationship, widowhood, and average or poor financial situation. Conversely, factors such as obesity and respiratory diseases were associated with a decrease in the ACDS score (p < 0.05). CONCLUSIONS: This study underscores the moderate adherence level to therapeutic recommendations among HF patients. Sociodemographic factors including education level, relationship status, occupation, financial stability, and living arrangements significantly impact adherence. Conversely, patients with obesity, respiratory conditions, or frequent HF-related hospitalizations demonstrate lower adherence. Patient education emerges as a pivotal factor influencing adherence. Tailored interventions targeting these factors could enhance adherence and optimize HF management outcomes.

Predicting Provider Workload Using Predicted Patient Risk Score and Social Determinants of Health in Primary Care Setting.

BACKGROUND: Provider burnout due to workload is a significant concern in primary care settings. Workload for primary care providers encompasses both scheduled visit care and non-visit care interactions. These interactions are highly influenced by patients' health conditions or acuity, which can be measured by the Adjusted Clinical Group (ACG) score. However, new patients typically have minimal health information beyond social determinants of health (SDOH) to determine ACG score. OBJECTIVES: This study aims to assess new patient workload by first predicting the ACG score using SDOH, age, and gender and then using this information to estimate the number of appointments (scheduled visit care) and non-visit care interactions. METHODS: Two years of appointment data were collected for patients who had initial appointment requests in the first year and had the ACG score, appointment, and non-visit care counts in the subsequent year. State-of-art machine learning algorithms were employed to predict ACG scores and compared with current baseline estimation. Linear regression models were then used to predict appointments and non-visit care interactions, integrating demographic data, SDOH, and predicted ACG scores. RESULTS: The machine learning methods showed promising results in predicting ACG scores. Besides the decision tree, all other methods performed at least 9% better in accuracy than the baseline approach which had an accuracy of 78%. Incorporating SDOH and predicted ACG scores also significantly improved the prediction for both appointments and non-visit care interactions. The R 2 values increased by 95.2 and 93.8%, respectively. Furthermore, age, smoking tobacco, family history, gender, usage of injection birth control, and ACG were significant factors for determining appointments. SDOH factors such as tobacco usage, physical exercise, education level, and group activities were strongly correlated with non-visit care interactions. CONCLUSION: The study highlights the importance of SDOH and predicted ACG scores in predicting provider workload in primary care settings.

"My Health, My Right:" There Is More to It than Meets the Eye.

The WHO's World Health Day 2024 slogan, "My health, my right," has been unpacked through the lens of an evolving social epidemiological understanding. The operative part of the theme merely reiterates international positions that have been established for a long and is unable to adequately incorporate advances in the understanding of the central role that structural determinants play in the production of ill-health. Given the urgency of addressing Sustainable Development Goal and Universal Health Coverage goals, the reduction of health inequities through the promotion of social justice is as much a governance imperative as moral.

Synergistic effects of social determinants of health and race-ethnicity on 30-day all-cause readmission disparities: a retrospective cohort study.

OBJECTIVE: The objective of this study is to assess the effects of social determinants of health (SDOH) and race-ethnicity on readmission and to investigate the potential for geospatial clustering of patients with a greater burden of SDOH that could lead to a higher risk of readmission. DESIGN: A retrospective study of inpatients at five hospitals within Henry Ford Health (HFH) in Detroit, Michigan from November 2015 to December 2018 was conducted. SETTING: This study used an adult inpatient registry created based on HFH electronic health record data as the data source. A subset of the data elements in the registry was collected for data analyses that included readmission index, race-ethnicity, six SDOH variables and demographics and clinical-related variables. PARTICIPANTS: The cohort was composed of 248 810 admission patient encounters with 156 353 unique adult patients between the study time period. Encounters were excluded if they did not qualify as an index admission for all payors based on the Centers for Medicare and Medicaid Service definition. MAIN OUTCOME MEASURE: The primary outcome was 30-day all-cause readmission. This binary index was identified based on HFH internal data supplemented by external validated readmission data from the Michigan Health Information Network. RESULTS: Race-ethnicity and all SDOH were significantly associated with readmission. The effect of depression on readmission was dependent on race-ethnicity, with Hispanic patients having the strongest effect in comparison to either African Americans or non-Hispanic whites. Spatial analysis identified ZIP codes in the City of Detroit, Michigan, as over-represented for individuals with multiple SDOH. CONCLUSIONS: There is a complex relationship between SDOH and race-ethnicity that must be taken into consideration when providing healthcare services. Insights from this study, which pinpoint the most vulnerable patients, could be leveraged to further improve existing models to predict risk of 30-day readmission for individuals in future work.

Immigrant and Refugee Health Curricula in US-Based Medical Training: A Scoping Review to Inform Integration Into Pediatric Residency Programs.

OBJECTIVE: Despite increases in the US foreign-born population, medical education opportunities in immigrant and refugee health (IRH) remain limited. We summarize findings for published IRH curricula and offer recommendations for integrating IRH into pediatric residency programs. METHODS: We performed a literature review of articles describing the design, implementation, or assessment of IRH curricula for US-based undergraduate and graduate medical trainees. RESULTS: The literature review identified 36 articles from 21 institutions describing 37 unique curricula. Three curricula included pediatric residency programs. Commonly taught topics included cultural humility, interpreter use, and immigration status as a social determinant of health. Immigrant-focused training experiences existed at continuity clinics, clinics for refugees or asylum seekers, and dedicated electives/rotations. Curricula were most frequently described as stand-alone electives/rotations. CONCLUSIONS: IRH curricula provide opportunities to develop skills in clinical care, advocacy, and community partnerships with immigrant populations. Pediatric residency programs should align the IRH curriculum with existing learning priorities, support and hire faculty with expertise in IRH, and partner with community organizations with expertise. Programs can also consider how to best support learners interested in careers focusing on immigrant populations. Further work is needed to establish competencies and validated tools measuring trainee satisfaction and clinical competency for IRH curricula.

Reimagining Social and Emotional Supports in Schools for Immigrant Students: A Contextual and Structural Approach.

Immigrant students and families experience disproportionate exposure to trauma, immigration-related stress, structural inequities, and poor access to mental health and social services which can lead to mental health inequities. Immigrant students and their families also have many strengths that can buffer potential negative mental health outcomes. Schools, which address social and emotional development in addition to academic achievement, are critical institutions that can play a unique role in enhancing the strengths and responding to the needs of immigrant students and families. In this review, we adapt the Behavioral Model for Vulnerable Populations to acknowledge the contextual and macro-level factors (e.g., relevant policies, environmental influences, and structural factors) and the predisposing, enabling, and need factors that immigrant students and families experience and impact access to school mental health and social services. We discuss school-based interventions that show efficacy for improving mental health outcomes and focus on addressing acculturative stress among immigrant students. We also discuss models to address social determinants of health need among immigrant students and families within schools, including the community schools model applied to immigrant students and families. We conclude this review by providing recommendations and strategies for pediatricians and schools to transform school-based supports for immigrant students and families and promote equitable outcomes. Our recommendations include incorporating multi-level school supports for addressing mental health, social need, and acculturative stress among immigrant students, along with reinforcing the strengths of immigrant students, and promoting school collaborations with pediatricians, school-based health centers, and trusted community partners.

A biobehavioral observational study to understand the multilevel determinants of cardiovascular health in Black women: the BLOOM Study protocol.

BACKGROUND: The racial/ethnic and gender disparities in cardiovascular disease (CVD) morbidity and mortality in the United States are evident. Across nearly every metric, non-Hispanic Black women have poorer overall cardiovascular health. Emerging evidence shows a disproportionately high burden of increased CVD risk factors in Black women of childbearing age, which has a far-reaching impact on both maternal and child outcomes, resulting in premature onset of CVD and further widens the racial disparities in CVD. There is growing recognition that the fundamental driver of persistent racial/ethnic disparities in CVD, as well as disparities in behavioral risk factors such as physical activity and sleep, is structural racism. Further, the lived personal experience of racial discrimination not only has a negative impact on health behaviors, but also links to various physiological pathways to CVD risks, such as internalized stress resulting in a pro-inflammatory state. Limited research, however, has examined the interaction between daily experience and health behaviors, which are influenced by upstream social determinants of health, and the downstream effect on biological/physiological indicators of cardiovascular health in non-pregnant Black women of childbearing age. METHODS/DESIGN: The BLOOM Study is an observational study that combines real-time ambulatory assessments over a 10-day monitoring period with in-depth cross-sectional lab-based physiological and biological assessments. We will use a wrist-worn actigraphy device to capture 24-h movement behaviors and electronic ecological momentary assessment to capture perceived discrimination, microaggression, and stress. Blood pressure will be captured continuously through a wristband. Saliva samples will be self-collected to assess cortisol level as a biomarker of psychological stress. Lab assessments include a fasting venous blood sample, and assessment of various indices of peripheral and cerebral vascular function/health. Participants' address or primary residence will be used to obtain neighborhood-level built environmental and social environmental characteristics. We plan to enroll 80 healthy Black women who are between 18 and 49 years old for this study. DISCUSSION: Results from this study will inform the development of multilevel (i.e., individual, interpersonal, and social-environmental levels) lifestyle interventions tailored to Black women based on their lived experiences with the goal of reducing CVD risk. GOV IDENTIFIER: NCT06150989.

Implement social prescribing successfully towards embedding: what works, for whom and in which context? A rapid realist review.

BACKGROUND: Some clients who access healthcare services experience problems due to the wider determinants of health which cannot be addressed (solely) by the medical sector. Social Prescribing (SP) addresses clients ' wider health needs and is based on linkworkers who support primary care clients in accessing social, community and voluntary care services that support their needs. Previous literature has provided valuable insights about what works (or not) in an early stage of implementing SP. However, there is limited insight into what works for the implementation of SP towards embedding. This study provides guiding principles by which SP can be successfully implemented towards the embedding stage and identifies which contextual factors and mechanisms influence these guiding principles. METHODS: A Rapid Realist Review was conducted to examine what works, for whom, why, and in which contexts. A local Dutch reference panel consisting of health and care organisations helped to inform the research questions. Additionally, a workshop was held with the panel, to discuss what the international insights mean for their local contexts. This input helped to further refine the literature review's findings. RESULTS: Five guiding principles were identified for successful implementation of SP at the embedding stage: • Create awareness for addressing the wider determinants of health and the role SP services can play; • Ensure health and care professionals build trusting relationships with all involved stakeholders to create a cyclical referral process; • Invest in linkworkers' skills and capacity so that they can act as a bridge between the sectors; • Ensure clients receive appropriate support to improve their self-reliance and increase their community participation; • Invest in the aligning of structures, processes and resources between involved sectors to support the use of SP services. CONCLUSION: To embed SP, structural changes on a system level as well as cultural changes are needed. This will require a shift in attitude amongst health and care professionals as well as clients towards the use, role and benefit of SP services in addressing the wider determinants of health. It will also require policymakers and researchers to involve communities and include their perspectives.

Social Determinants of Health Education Within Family Medicine Clerkships: A CERA Study.

BACKGROUND AND OBJECTIVES: Social determinants of health (SDoH) education has gained popularity in undergraduate medical education; however, emphasis varies, and the curricula or assessment methods are not uniform. This study sought to examine the current SDoH teaching and assessment methods within family medicine clerkships and to identify characteristics associated with SDoH curriculum with multicomponent (two or more) teaching strategies and higher Kirkpatrick levels of assessment (Level 3-behavior change and Level 4-results). METHODS: An online survey was conducted through the 2023 Council of Academic Family Medicine Educational Research Alliance (CERA) Clerkship Directors Survey. RESULTS: The survey response rate was 56.8% (96/169). The degree of SDoH emphasis in the medical school was positively associated with the number of teaching strategies (r=0.48; P<.001). We found a trend toward degree of SDoH emphasis being associated with higher Kirkpatrick levels of assessment (H[3]=7.83; P=.05). Having an SDoH faculty champion was associated with more teaching strategies (F[1,77]=8.73; P=.004), more types of assessments (F[1,78]=5.88; P=.018), and higher Kirkpatrick levels of assessment (H[1]=4.46; P=.035). Underrepresented in medicine clerkship director identity was not associated with the number of teaching strategies or higher Kirkpatrick levels of assessment. CONCLUSIONS: Greater degrees of SDoH emphasis and having a faculty champion were associated, or trended toward association, with multicomponent teaching strategies and higher Kirkpatrick levels of assessment, which prepare students to provide SDoH responsive care that could lead to reduction in health inequities.

Comparing COVID-19 vaccination coverage, adverse reactions and impact of social determinants of health on vaccine hesitancy in ADRD/MCI and non-ADRD/MCI population: protocol for a retrospective cross-sectional study.

INTRODUCTION: COVID-19 vaccination is crucial for vulnerable people with underlying chronic conditions such as Alzheimer's disease and related dementias (ADRD) and mild cognitive impairment (MCI). These individuals face unique challenges, including higher risk of COVID-19, difficulties in adopting preventive behaviours and vaccine hesitancy due to concerns about adverse reactions. Therefore, efforts to promote vaccination, including boosters tailored to the currently circulating virus, are essential for people with ADRD/MCI. OBJECTIVE: The primary purpose of this study protocol is to conduct a comprehensive analysis of COVID-19 vaccination coverage and adverse reactions among individuals with ADRD/MCI in comparison to those without ADRD/MCI. Additionally, the proposed study aims to investigate the impact of social determinants of health on COVID-19 vaccination and vaccine hesitancy in individuals with ADRD/MCI. METHODS AND ANALYSIS: A retrospective cross-sectional study will be conducted utilising data from the All of Us (AoU) Researcher Workbench. Relevant data fields are extracted from sources including demographic information, COVID-19 Vaccine Survey, Basic Survey, Health Access & Utilization, Social Determinants of Health, and Electronic Health Record (EHR) data. Data on vaccination, adverse reactions and vaccine hesitancy will be collected through COVID-19 vaccine survey questionnaires. Propensity score matching and binary logistic regression will be applied to assess the vaccination rates and vaccine hesitancy, while controlling for demographic characteristics and social determinants of health factors. ETHICS AND DISSEMINATION: This study protocol received approval from the Institutional Review Board at Florida State University (STUDY00004571). Results will be disseminated through publication in peer-reviewed journals and presented at scientific conferences.

Piloting a Clinical Decision Support Tool to Identify Patients With Social Needs and Provide Navigation Services and Referral to Community-Based Organizations: Protocol for a Randomized Controlled Trial.

BACKGROUND: Social needs and social determinants of health (SDOH) significantly outrank medical care when considering the impact on a person's length and quality of life, resulting in poor health outcomes and worsening life expectancy. Integrating social needs and SDOH data along with clinical risk information within operational clinical decision support (CDS) systems built into electronic health records (EHRs) is an effective approach to addressing health-related social needs. To achieve this goal, applied research is needed to develop EHR-integrated CDS tools and closed-loop referral systems and implement and test them in the digital and clinical workflows at health care systems and collaborating community-based organizations (CBOs). OBJECTIVE: This study aims to describe the protocol for a mixed methods study including a randomized controlled trial and a qualitative phase assessing the feasibility, acceptability, and effectiveness of an EHR-integrated digital platform to identify patients with social needs and provide navigation services and closed-loop referrals to CBOs to address their social needs. METHODS: The randomized controlled trial will enroll and randomize adult patients living in socioeconomically challenged neighborhoods in Baltimore City receiving care at a single academic health care institution in the 3-month intervention (using the digital platform) or the 3-month control (standard-of-care assessment and addressing of social needs) arms (n=295 per arm). To evaluate the feasibility and acceptability of the digital platform and its impact on the clinical and digital workflow and patient care, we will conduct focus groups with the care teams in the health care system (eg, clinical providers, social workers, and care managers) and collaborating CBOs. The outcomes will be the acceptability, feasibility, and effectiveness of the CDS tool and closed-loop referral system. RESULTS: This clinical trial opened to enrollment in June 2023 and will be completed in March 2025. Initial results are expected to be published in spring 2025. We will report feasibility outcome measures as weekly use rates of the digital platform. The acceptability outcome measure will be the provider's and patient's responses to the truthfulness of a statement indicating a willingness to use the platform in the future. Effectiveness will be measured by tracking a 3-month change in identified social needs and provided navigation services as well as clinical outcomes such as hospitalization and emergency department visits. CONCLUSIONS: The results of this investigation are expected to contribute to our understanding of the use of digital interventions and the implementation of such interventions in digital and clinical workflows to enhance the health care system and CBO ability related to social needs assessment and intervention. These results may inform the construction of a future multi-institutional trial designed to test the effectiveness of this intervention across different health care systems and care settings. TRIAL REGISTRATION: ClinicalTrials.gov NCT05574699; https://clinicaltrials.gov/study/NCT05574699. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57316.

Core socioDemographic data variables in ICU Trials (CoDe-IT): a protocol for generating core data variables using a Delphi consensus process.

INTRODUCTION: Sociodemographic variables influence health outcomes, either directly (ie, gender identity) or indirectly (eg, structural/systemic racism based on ethnoracial group). Identification of how sociodemographic variables can impact the health of critically ill adults is important to guide care and research design for this population. However, despite the growing recognition of the importance of collecting sociodemographic measures that influence health outcomes, insufficient and inconsistent data collection of sociodemographic variables persists in critical care studies. We aim to develop a set of core data variables (CoDaV) for social determinants of health specific to studies involving critically ill adults. METHODS AND ANALYSIS: We will conduct a scoping review to generate a list of possible sociodemographic measures to be used for round 1 of the modified Delphi processes. We will engage relevant knowledge users (previous intensive care unit patients and family members, critical care researchers, critical care clinicians and research co-ordinators) to participate in the modified Delphi consensus survey to identify the CoDaV. A final consensus meeting will be held with knowledge user representatives to discuss the final CoDaV, how each sociodemographic variable will be collected (eg, level of granularity) and how to disseminate the CoDaV for use in critical care studies. ETHICS AND DISSEMINATION: The University of Calgary conjoint health research ethics board has approved this study protocol (REB22-1648).

Social prescribing for suicide prevention: a rapid review.

This rapid review delves into the realm of social prescribing as a novel approach to suicide prevention by addressing the social determinants of health. Through an exploration of various databases including MEDLINE, PsychInfo, WILEY, and Sage, a total of 3,063 articles were initially identified as potentially relevant to the research. Following a meticulous screening process, 13 articles were included in the final review, shedding light on the potential effectiveness and impact of social prescribing interventions on suicide prevention. Key findings indicate the need for additional monitoring and support for individuals at risk of suicide, emphasising warm referrals and sustained connections after referral to enhance the efficacy of social prescribing models. The review also highlights the importance of social capital and trust among vulnerable populations, underscoring the significance of community-based referrals in suicide prevention initiatives. Overall, this review identifies the potential of social prescribing as a valuable tool in mitigating suicide risk factors and promoting mental health and wellbeing in diverse populations.

Developing an AI Tool to Derive Social Determinants of Health for Primary Care Patients: Qualitative Findings From a Codesign Workshop.

PURPOSE: Information about social determinants of health (SDOH) is essential for primary care clinicians in the delivery of equitable, comprehensive care, as well as for program planning and resource allocation. SDOH are rarely captured consistently in clinical settings, however. Artificial intelligence (AI) could potentially fill these data gaps, but it needs to be designed collaboratively and thoughtfully. We report on a codesign process with primary care clinicians to understand how an AI tool could be developed, implemented, and used in practice. METHODS: We conducted semistructured, 50-minute workshops with a large urban family health team in Toronto, Ontario, Canada asking their feedback on a proposed AI-based tool used to derive patient SDOH from electronic health record data. An inductive thematic analysis was used to describe participants' perspectives regarding the implementation and use of the proposed tool. RESULTS: Fifteen participants contributed across 4 workshops. Most patient SDOH information was not available or was difficult to find in their electronic health record. Discussions focused on 3 areas related to the implementation and use of an AI tool to derive social data: people, process, and technology. Participants recommended starting with 1 or 2 social determinants (income and housing were suggested as priorities) and emphasized the need for adequate resources, staff, and training materials. They noted many challenges, including how to discuss the use of AI with patients and how to confirm their social needs identified by the AI tool. CONCLUSIONS: Our codesign experience provides guidance from end users on the appropriate and meaningful design and implementation of an AI-based tool for social data in primary care.

Protected characteristics reported in pulmonary rehabilitation: a scoping review.

BACKGROUND: An individual's characteristics are reported to influence access, completion and outcomes of pulmonary rehabilitation and may contribute to health inequalities. Many countries have policies to promote equity among individuals' characteristics, including the UK Equality Act 2010 which lists nine protected characteristics (age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation). OBJECTIVES: To describe the extent to which UK Equality Act 2010 protected characteristics have been collected and reported in UK studies and audits of pulmonary rehabilitation. METHODS: A scoping review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews guidelines was conducted using five databases. UK studies and audits collecting data on pulmonary rehabilitation from 1 October 2010 (date of Equality Act 2010 inception) were eligible. The protected characteristics collected and how they were reported were extracted. RESULTS: Out of 45 included studies and audits (41 studies and four audits), 98% (k=44) reported age. Sex was reported in 40% (k=18), and 20% (k=9) reported gender with only male and female categories. Half (50%, k=2) of audits reported gender with male, female and transgender categories. Race was reported through ethnicity in 2% (k=1) of studies and 75% (k=3) of audits. No studies or audits explicitly reported disability, but all reported measures indicating disease severity (e.g. forced expiratory volume in 1 s % predicted: 67%, k=30). No studies or audits reported marriage and civil partnership, pregnancy and maternity, religion or belief or sexual orientation. CONCLUSIONS: Protected characteristics are not commonly reported or are inconsistently reported in UK pulmonary rehabilitation studies and audits. Without reporting these characteristics, health inequalities in pulmonary rehabilitation will remain unclear.