Did a workplace sugar-sweetened beverage sales ban reduce anxiety-related sugar-sweetened beverage consumption during the COVID-19 pandemic?

OBJECTIVE: Workplace sugar-sweetened beverage (SSB) sales bans can reduce SSB consumption. Because stress and anxiety can promote sugar consumption, we examined whether anxiety among hospital employees during the COVID-19 pandemic was associated with changes in SSB consumption and explored whether this relationship varied by exposure to a workplace SSB sales ban. DESIGN: In a prospective, controlled trial of workplace SSB sales bans, we examined self-reported anxiety (generalised anxiety disorder-7) and self-reported SSB consumption (fluid ounces/d) before (July 2019) and during (May 2020) the COVID-19 pandemic. SETTING: Hospital sites in two conditions (four with SSB sales bans and three without sales bans) in Northern California. PARTICIPANTS: We sampled 580 participants (hospital employees) from a larger trial of sales bans; all were regular consumers of SSB (minimum 3/week at main trial enrollment). This subsample was chosen based on having appropriately timed data for our study questions. RESULTS: Across conditions, participants reduced SSB consumption over the study period. However, participants with higher pandemic-era anxiety scores experienced smaller reductions in SSB consumption after 9 months compared with those with lower anxiety scores (ß = 0·65, P < 0·05). When the sample was disaggregated by sales ban condition, this relationship held for participants in the control group (access to SSB at work, ß = 0·82, P < 0·05), but not for those exposed to an SSB sales ban (ß = 0·42, P = 0·25). CONCLUSIONS: SSB sales bans likely reduce SSB consumption through multiple pathways; buffering stress-related consumption may be one mechanism.

Evaluation of the sugar-sweetened beverage tax in Oakland, United States, 2015-2019: A quasi-experimental and cost-effectiveness study.

BACKGROUND: While a 2021 federal commission recommended that the United States government levy a sugar-sweetened beverage (SSB) tax to improve diabetes prevention and control efforts, evidence is limited regarding the longer-term impacts of SSB taxes on SSB purchases, health outcomes, costs, and cost-effectiveness. This study estimates the impact and cost-effectiveness of an SSB tax levied in Oakland, California. METHODS AND FINDINGS: An SSB tax ($0.01/oz) was implemented on July 1, 2017, in Oakland. The main sample of sales data included 11,627 beverage products, 316 stores, and 172,985,767 product-store-month observations. The main analysis, a longitudinal quasi-experimental difference-in-differences approach, compared changes in beverage purchases at stores in Oakland versus Richmond, California (a nontaxed comparator in the same market area) before and 30 months after tax implementation (through December 31, 2019). Additional estimates used synthetic control methods with comparator stores in Los Angeles, California. Estimates were inputted into a closed-cohort microsimulation model to estimate quality-adjusted life years (QALYs) and societal costs (in Oakland) from 6 SSB-associated disease outcomes. In the main analysis, SSB purchases declined by 26.8% (95% CI -39.0 to -14.7, p < 0.001) in Oakland after tax implementation, compared with Richmond. There were no detectable changes in purchases of untaxed beverages or sweet snacks or purchases in border areas surrounding cities. In the synthetic control analysis, declines in SSB purchases were similar to the main analysis (-22.4%, 95% CI -41.7% to -3.0%, p = 0.04). The estimated changes in SSB purchases, when translated into declines in consumption, would be expected to accrue QALYs (94 per 10,000 residents) and significant societal cost savings (>$100,000 per 10,000 residents) over 10 years, with greater gains over a lifetime horizon. Study limitations include a lack of SSB consumption data and use of sales data primarily from chain stores. CONCLUSIONS: An SSB tax levied in Oakland was associated with a substantial decline in volume of SSBs purchased, an association that was sustained more than 2 years after tax implementation. Our study suggests that SSB taxes are effective policy instruments for improving health and generating significant cost savings for society.

Extent of Follow-Up on Abnormal Cancer Screening in Multiple California Public Hospital Systems: A Retrospective Review.

BACKGROUND: Inequitable follow-up of abnormal cancer screening tests may contribute to racial/ethnic disparities in colon and breast cancer outcomes. However, few multi-site studies have examined follow-up of abnormal cancer screening tests and it is unknown if racial/ethnic disparities exist. OBJECTIVE: This report describes patterns of performance on follow-up of abnormal colon and breast cancer screening tests and explores the extent to which racial/ethnic disparities exist in public hospital systems. DESIGN: We conducted a retrospective cohort study using data from five California public hospital systems. We used multivariable robust Poisson regression analyses to examine whether patient-level factors or site predicted receipt of follow-up test. MAIN MEASURES: Using data from five public hospital systems between July 2015 and June 2017, we assessed follow-up of two screening results: (1) colonoscopy after positive fecal immunochemical tests (FIT) and (2) tissue biopsy within 21 days after a BIRADS 4/5 mammogram. KEY RESULTS: Of 4132 abnormal FITs, 1736 (42%) received a follow-up colonoscopy. Older age, Medicaid insurance, lack of insurance, English language, and site were negatively associated with follow-up colonoscopy, while Hispanic ethnicity and Asian race were positively associated with follow-up colonoscopy. Of 1702 BIRADS 4/5 mammograms, 1082 (64%) received a timely biopsy; only site was associated with timely follow-up biopsy. CONCLUSION: Despite the vulnerabilities of public-hospital-system patients, follow-up of abnormal cancer screening tests occurs at rates similar to that of patients in other healthcare settings, with colon cancer screening test follow-up occurring at lower rates than follow-up of breast cancer screening tests. Site-level factors have larger, more consistent impact on follow-up rates than patient sociodemographic traits. Resources are needed to identify health system-level factors, such as test follow-up processes or data infrastructure, that improve abnormal cancer screening test follow-up so that effective health system-level interventions can be evaluated and disseminated.

Pro- and Anti-Tax Framing in News Articles About California Sugar-Sweetened Beverage Tax Campaigns from 2014-2018.

Sugar-sweetened beverages (SSB) contribute to illness, especially among marginalized communities and children targeted by the beverage industry. SSB taxes can reduce consumption, illness burden, and health inequities, while generating revenue for health programs, and as one way to hold the industry responsible for their harmful products and marketing malpractices. Supporters and opponents have debated SSB tax proposals in news coverage - a key source of information that helps to shape public policy debates. To learn how four successful California-based SSB tax campaigns were covered in the news, we conducted a content analysis, comparing how SSB taxes were portrayed. We found that pro-tax arguments frequently reported data to expose the beverage industry's outsized campaign spending and emphasize the health harms of SSBs, often from health professionals. However, pro-tax arguments rarely described the benefits of SSB taxes, or how they can act as a tool for industry accountability. By contrast, anti-tax arguments overtly appealed to values and promoted misinformation, often from representatives from industry-funded front groups. As experts recommend additional SSB tax proposals, and as the industry mounts legislative counter-tactics to prevent them, advocates should consider harnessing community representatives as messengers and values-based messages to highlight the benefits of SSB taxes.

Evaluating Natural Experiments that Impact the Diabetes Epidemic: an Introduction to the NEXT-D3 Network.

PURPOSE OF REVIEW: Diabetes is an ongoing public health issue in the USA, and, despite progress, recent reports suggest acute and chronic diabetes complications are increasing. RECENT FINDINGS: The Natural Experiments for Translation in Diabetes 3.0 (NEXT-D3) Network is a 5-year research collaboration involving six academic centers (Harvard University, Northwestern University, Oregon Health & Science University, Tulane University, University of California Los Angeles, and University of California San Francisco) and two funding agencies (Centers for Disease Control and Prevention and National Institutes of Health) to address the gaps leading to persisting diabetes burdens. The network builds on previously funded networks, expanding to include type 2 diabetes (T2D) prevention and an emphasis on health equity. NEXT-D3 researchers use rigorous natural experiment study designs to evaluate impacts of naturally occurring programs and policies, with a focus on diabetes-related outcomes. NEXT-D3 projects address whether and to what extent federal or state legislative policies and health plan innovations affect T2D risk and diabetes treatment and outcomes in the USA; real-world effects of increased access to health insurance under the Affordable Care Act; and the effectiveness of interventions that reduce barriers to medication access (e.g., decreased or eliminated cost sharing for cardiometabolic medications and new medications such as SGLT-2 inhibitors for Medicaid patients). Overarching goals include (1) expanding generalizable knowledge about policies and programs to manage or prevent T2D and educate decision-makers and organizations and (2) generating evidence to guide the development of health equity goals to reduce disparities in T2D-related risk factors, treatment, and complications.

CRANIUM: a quasi-experimental study to improve metabolic screening and HIV testing in community mental health clinics compared to usual care.

BACKGROUND: Individuals with serious mental illness often do not receive guideline-concordant metabolic screening and human immunodeficiency virus (HIV) testing, contributing to increased morbidity and premature mortality. This study evaluates the effectiveness of CRANIUM (Cardiometabolic Risk Assessment and treatment through a Novel Integration model for Underserved populations with Mental illness), an intervention to increase metabolic screening and HIV testing among patients with serious mental illness in a community mental health clinic compared to usual care. METHODS: The study used a quasi-experimental design, prospectively comparing a preventive care screening intervention at one community mental health clinic (n = 536 patients) to usual care at the remaining clinics within an urban behavioural health system (n = 4,847 patients). Psychiatrists at the intervention site received training in preventive health screening and had access to a primary care consultant, screening and treatment algorithms, patient registries, and a peer support specialist. Outcomes were the change in screening rates of A1c, lipid, and HIV testing post-intervention at the intervention site compared to usual care sites. RESULTS: Rates of lipid screening and HIV testing increased significantly at the intervention site compared to usual care, with and without multivariable adjustment [Lipid: aOR 1.90, 95% CI 1.32-2.75, P = .001; HIV: aOR 23.42, 95% CI 5.94-92.41, P < .001]. While we observed a significant increase in A1c screening rates at the intervention site, this increase did not persist after multivariable adjustment (aOR 1.37, 95% CI .95-1.99, P = .09). CONCLUSIONS: This low-cost, reverse integrated care model targeting community psychiatrist practices had modest effects on increasing preventive care screenings, with the biggest effect seen for HIV testing rates. Additional incentives and structural supports may be needed to further promote screening practices for individuals with serious mental illness.

Impact of an Arts-based Public Health Literacy Program Delivered Online to High School Students during the COVID-19 Pandemic.

The COVID-19 pandemic, coupled with the domestic socio-political unrest of 2020, provides a critical opportunity to reframe how we engage with youth around health and disease risk. The Bigger Picture (TBP), a spoken word, arts-based public health literacy campaign, uses a social justice and racial equity frame to activate youth around social determinants of health, including salient topics such as type 2 diabetes, COVID-19, climate change, and police violence. This quasi-experimental study determined the impact of providing an online adaptation of TBP during the COVID-19 pandemic to urban, low-income, diverse high school students (3 intervention schools assigned to receive TBP-based spoken word program; 3 comparison schools received a non-health focused spoken word program). We used outcomes derived from the Culture of Health framework, including: (1) health-related mind-sets and expectations; (2) sense of belonging; and (3) civic engagement. Students completed pre/post surveys; a subset of adults and youth from all 6 schools completed semi-structured interviews. TBP participation resulted in measurable shifts in students' mind-sets around structural drivers of health and health inequity and increases in plans for future civic engagement. Arts-based programming with an intentional focus on the social ecological model and health equity appears to impact young people, even when delivered online.

Type 2 Diabetes as a Socioecological Disease: Can Youth Poets of Color Become Messengers of Truth and Catalysts for Change?

BACKGROUND: Efforts to confront the type 2 diabetes (T2D) epidemic have been stymied by an absence of effective communication on policy fronts. Whether art can be harnessed to reframe the T2D discourse from an individual, biomedical problem to a multilevel, communal and social problem is not known. METHOD: We explored whether spoken word workshops enable young artists of color to convey a critical consciousness about T2D. The Bigger Picture fosters creation and dissemination of art to shift from the narrow biomedical model toward a comprehensive socioecological model (SEM). Workshops offer (1) public health content, (2) writing exercises, and (3) feedback on drafts. Based on Freire and Boal's participatory pedagogy, workshops encourage youth to tap into their lived experiences when creating poetry. We analyzed changes in public health literary and activation among participants and mapped poems onto the SEM to assess whether their poetry conveyed the multilevel perspective critical to public health literacy. RESULTS: Participants reported significant increases in personal relevance of T2D prevention, T2D discussions with peers, concern about corporations' targeted marketing, and interest in community organizing to confront the epidemic. Across stanzas, nearly all poems (95%) featured >three of five SEM levels (systemic forces, sectors of influence, societal norms, behavioral settings, individual factors); three-quarters (78%) featured >four levels. CONCLUSIONS: Engaging youth poets of color to develop artistic content to combat T2D can increase their public health literary and social activation and foster compelling art that communicates how complex, multilevel forces interact to generate disease and disease disparities.

Challenges and solutions to employing natural language processing and machine learning to measure patients' health literacy and physician writing complexity: The ECLIPPSE study.

OBJECTIVE: In the National Library of Medicine funded ECLIPPSE Project (Employing Computational Linguistics to Improve Patient-Provider Secure Emails exchange), we attempted to create novel, valid, and scalable measures of both patients' health literacy (HL) and physicians' linguistic complexity by employing natural language processing (NLP) techniques and machine learning (ML). We applied these techniques to > 400,000 patients' and physicians' secure messages (SMs) exchanged via an electronic patient portal, developing and validating an automated patient literacy profile (LP) and physician complexity profile (CP). Herein, we describe the challenges faced and the solutions implemented during this innovative endeavor. MATERIALS AND METHODS: To describe challenges and solutions, we used two data sources: study documents and interviews with study investigators. Over the five years of the project, the team tracked their research process using a combination of Google Docs tools and an online team organization, tracking, and management tool (Asana). In year 5, the team convened a number of times to discuss, categorize, and code primary challenges and solutions. RESULTS: We identified 23 challenges and associated approaches that emerged from three overarching process domains: (1) Data Mining related to the SM corpus; (2) Analyses using NLP indices on the SM corpus; and (3) Interdisciplinary Collaboration. With respect to Data Mining, problems included cleaning SMs to enable analyses, removing hidden caregiver proxies (e.g., other family members) and Spanish language SMs, and culling SMs to ensure that only patients' primary care physicians were included. With respect to Analyses, critical decisions needed to be made as to which computational linguistic indices and ML approaches should be selected; how to enable the NLP-based linguistic indices tools to run smoothly and to extract meaningful data from a large corpus of medical text; and how to best assess content and predictive validities of both the LP and the CP. With respect to the Interdisciplinary Collaboration, because the research required engagement between clinicians, health services researchers, biomedical informaticians, linguists, and cognitive scientists, continual effort was needed to identify and reconcile differences in scientific terminologies and resolve confusion; arrive at common understanding of tasks that needed to be completed and priorities therein; reach compromises regarding what represents "meaningful findings" in health services vs. cognitive science research; and address constraints regarding potential transportability of the final LP and CP to different health care settings. DISCUSSION: Our study represents a process evaluation of an innovative research initiative to harness "big linguistic data" to estimate patient HL and physician linguistic complexity. Any of the challenges we identified, if left unaddressed, would have either rendered impossible the effort to generate LPs and CPs, or invalidated analytic results related to the LPs and CPs. Investigators undertaking similar research in HL or using computational linguistic methods to assess patient-clinician exchange will face similar challenges and may find our solutions helpful when designing and executing their health communications research.

Seeing "The Bigger Picture:" Impact of an Arts-Focused Type 2 Diabetes Education Program in High Schools.

Traditional health education efforts rarely align with youth social justice values. The Bigger Picture (TBP), a spoken word arts campaign, leverages a social justice approach to activate youth around the social determinants of type 2 diabetes (T2D). This quasi-experimental study examines the impact of embedding TBP in urban, low-income high schools (3 intervention schools received TBP; 3 comparison schools received a non-health related spoken word program) with respect to (1) health-related mind-sets and expectations; (2) sense of belonging; and (3) civic engagement among youth. Adults and youth who participated in programming at all 6 schools were interviewed, and a content analysis of students' poems was performed. TBP was well-received by adults and students. While students in both TBP and comparison programs described multiple social determinants of T2D, intervention students more frequently articulated the connections between race/ethnicity and T2D as a social justice issue. Further, all comparison students explicitly mentioned individual dietary behavior as a T2D determinant while most, yet not all, intervention students did. Students in both programs reported a high sense of belonging at school and confidence in civic engagement. Content analysis of TBP students' poems revealed youth's detailed understanding of T2D determinants. Future studies might explore program scalability, and how the integration of civic engagement opportunities into TBP curriculum might impact students' capacity to create positive social change.

Developing and Testing Automatic Models of Patient Communicative Health Literacy Using Linguistic Features: Findings from the ECLIPPSE study.

Patients with diabetes and limited health literacy (HL) may have suboptimal communication exchange with their health care providers and be at elevated risk of adverse health outcomes. These difficulties are generally attributed to patients' reduced ability to both communicate and understand health-related ideas as well as physicians' lack of skill in identifying those with limited HL. Understanding and identifying patients with barriers posed by lower HL to improve healthcare delivery and outcomes is an important research avenue. However, doing so using traditional methods has proven difficult and infeasible to scale. This study using corpus analyses, expert human ratings of HL, and natural language processing (NLP) approaches to estimate HL at the individual patient level. The goal of the study is to better understand HL from a linguistic perspective and to open new research areas to enhance population management and individualized care. Specifically, this study examines HL as a function of patients' demonstrated ability to communicate health-related information to their providers via secure messages. The study develops an NLP-based HL model and validates the model by predicting patient-related events such as medical outcomes and hospitalizations. Results indicate that the developed model predicts human ratings of HL with ~80% accuracy. Validation indicates that lower HL patients are more likely to be nonwhite and have lower educational attainment. In addition, patients with lower HL suffered more negative health outcomes and had higher healthcare service utilization.

Accuracy of Primary Care Medical Home Designation in a Specialty Mental Health Clinic.

To assess whether primary care medical homes (PCMHs) are accurately identified for patients receiving care in a specialty mental health clinic within an integrated public delivery system. This study reviewed the electronic records of patients in a large urban mental health clinic. The study defined 'matching PCMH' if the same primary care clinic was listed in both the mental health and medical electronic records. This study designated all others as 'PCMH unknown.' This study assessed whether demographic factors predicted PCMH status using chi-square tests. Among 229 patients (66% male; mean age 49; 36% White, 30% Black, and 17% Asian), 72% had a matching PCMH. Sex, age, race, psychiatric diagnosis, and psychotropic medication use were not associated with matching PCMH. To improve care coordination and health outcomes for people with severe mental illness, greater efforts are needed to ensure the accurate designation of PCMHs in all mental health patient electronic records.

Comorbid Diabetes and Severe Mental Illness: Outcomes in an Integrated Health Care Delivery System.

BACKGROUND: Diabetes prevalence is twice as high among people with severe mental illness (SMI) when compared to the general population. Despite high prevalence, care outcomes are not well understood. OBJECTIVE: To compare diabetes health outcomes received by people with and without comorbid SMI, and to understand demographic factors associated with poor diabetes control among those with SMI. DESIGN: Retrospective cohort study PARTICIPANTS: 269,243 adults with diabetes MAIN MEASURES: Primary outcomes included optimal glycemic control (A1c < 7) or poor diabetes control (A1c > 9) in 2014. Secondary outcomes included control of other cardiometabolic risk factors (hypertension, dyslipidemia, smoking) and recommended diabetes monitoring. KEY RESULTS: Among this cohort, people with SMI (N = 4,399), compared to those without SMI (N = 264,844), were more likely to have optimal glycemic control, adjusting for various covariates (adjusted relative risk (aRR) 1.25, 95% CI 1.21-1.28, p < .001) and less likely to have poor control (aRR 0.92, 95% CI 0.87-0.98, p = 0.012). Better blood pressure and lipid control was more prevalent among people with SMI when compared to those without SMI (aRR 1.03; 95% CI 1.02-1.05, p < .001; aRR 1.02; 95% CI 1.00-1.05, p = 0.044, respectively). No differences were observed in recommended A1c or LDL testing, but people with SMI were more likely to have blood pressure checked (aRR 1.02, 95% CI 1.02-1.03, p < .001) and less likely to receive retinopathy screening (aRR 0.80, 95% CI 0.71-0.91, p < .001) than those without SMI. Among people with diabetes and comorbid SMI, younger adults and Hispanics were more likely to have poor diabetes control. CONCLUSIONS: Adults with diabetes and comorbid SMI had better cardiometabolic control than people with diabetes who did not have SMI, despite lower rates of retinopathy screening. Among those with comorbid SMI, younger adults and Hispanics were more vulnerable to poor A1c control.

From "Infodemics" to Health Promotion: A Novel Framework for the Role of Social Media in Public Health.

Despite the ubiquity of health-related communications via social media, no consensus has emerged on whether this medium, on balance, jeopardizes or promotes public health. During the COVID-19 pandemic, social media has been described as the source of a toxic "infodemic" or a valuable tool for public health. No conceptual model exists for examining the roles that social media can play with respect to population health.We present a novel framework to guide the investigation and assessment of the effects of social media on public health: the SPHERE (Social media and Public Health Epidemic and REsponse) continuum. This model illustrates the functions of social media across the epidemic-response continuum, ranging across contagion, vector, surveillance, inoculant, disease control, and treatment.We also describe attributes of the communications, diseases and pathogens, and hosts that influence whether certain functions dominate over others. Finally, we describe a comprehensive set of outcomes relevant to the evaluation of the effects of social media on the public's health.

Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE Study.

BACKGROUND: Little is known about patients who have caregiver proxies communicate with healthcare providers via portal secure messaging (SM). Since proxy portal use is often informal (e.g., sharing patient accounts), novel methods are needed to estimate the prevalence of proxy-authored SMs. OBJECTIVE: (1) Develop an algorithm to identify proxy-authored SMs, (2) apply this algorithm to estimate predicted proxy SM (PPSM) prevalence among patients with diabetes, and (3) explore patient characteristics associated with having PPSMs. DESIGN: Retrospective cohort study. PARTICIPANTS: We examined 9856 patients from Diabetes Study of Northern California (DISTANCE) who sent ≥ 1 English-language SM to their primary care physician between July 1, 2006, and Dec. 31, 2015. MAIN MEASURES: Using computational linguistics, we developed ProxyID, an algorithm that identifies phrases frequently found in registered proxy SMs. ProxyID was validated against blinded expert categorization of proxy status among an SM sample, then applied to identify PPSM prevalence across patients. We examined patients' sociodemographic and clinical characteristics according to PPSM penetrance, "none" (0%), "low" (≥ 0-50%), and "high" (≥ 50-100%). KEY RESULTS: Only 2.3% of patients had ≥ 1 registered proxy-authored SM. ProxyID demonstrated moderate agreement with expert classification (Κ = 0.58); 45.7% of patients had PPSMs (40.2% low and 5.5% high). Patients with high percent PPSMs were older than those with low percent and no PPSMs (66.5 vs 57.4 vs 56.2 years, p < 0.001) had higher rates of limited English proficiency (16.1% vs 3.2% vs 3.5%, p < 0.05), lower self-reported health literacy (3.83 vs 4.43 vs 4.44, p < 0.001), and more comorbidities (Charlson index 3.78 vs 2.35 vs 2.18, p < 0.001). CONCLUSIONS: Among patients with diabetes, informal proxy SM use is more common than registered use and prevalent among socially and medically vulnerable patients. Future research should explore whether proxy portal use improves patient and/or caregiver outcomes and consider policies that integrate caregivers in portal communication.

Sugar-Sweetened Beverage Consumption 3 Years After the Berkeley, California, Sugar-Sweetened Beverage Tax.

OBJECTIVES: To estimate changes in sugar-sweetened beverage (SSB) and water consumption 3 years after an SSB tax in Berkeley, California, relative to unexposed comparison neighborhoods. METHODS: Data came from repeated annual cross-sectional beverage frequency questionnaires from 2014 to 2017 in demographically diverse Berkeley (n = 1513) and comparison (San Francisco and Oakland; n = 3712) neighborhoods. Pretax consumption (2014) was compared with a weighted average of 3 years of posttax consumption. RESULTS: At baseline, SSBs were consumed 1.25 times per day (95% confidence interval [CI] = 1.00, 1.50) in Berkeley and 1.27 times per day (95% CI = 1.13, 1.42) in comparison city neighborhoods. When we adjusted for covariates, consumption in Berkeley declined by 0.55 times per day (95% CI = -0.75, -0.35) for SSBs and increased by 1.02 times per day (95% CI = 0.54, 1.50) for water. Changes in consumption in Berkeley were significantly different from those in the comparison group, which saw no significant changes. CONCLUSIONS: Reductions in SSB consumption were sustained in demographically diverse Berkeley neighborhoods over the first 3 years of an SSB tax, relative to comparison cities. These persistent, longer-term reductions in SSB consumption suggest that SSB taxes are an effective policy option for jurisdictions focused on improving public health.

A Randomized Clinical Trial of Group Acupuncture for Painful Diabetic Neuropathy Among Diverse Safety Net Patients.

OBJECTIVE: Existing pharmacologic approaches for painful diabetic neuropathy (PDN) are limited in efficacy and have side effects. We examined the feasibility, acceptability, and effects of group acupuncture for PDN. DESIGN AND SETTING: We randomized patients with PDN from a public safety net hospital to 1) usual care, 2) usual care plus 12 weeks of group acupuncture once weekly, or 3) usual care plus 12 weeks of group acupuncture twice weekly. METHODS: The primary outcome was change in weekly pain intensity (daily 0-10 numerical rating scale [NRS] averaged over seven days) from baseline to week 12. We also assessed health-related quality of life and related symptoms at baseline and weeks 6, 12, and 18. RESULTS: We enrolled 40 patients with PDN (baseline pain = 5.3). Among participants randomized to acupuncture, 92% attended at least one treatment (mean treatments = 10.1). We observed no significant differences between once- vs twice-weekly acupuncture and combined those groups for the main analyses. Compared with usual care, participants randomized to acupuncture experienced greater decreases in pain during the 12-week intervention period (between-group differences from baseline = -2.06, 95% confidence interval [CI] = -3.01 to -1.10), but benefits were not maintained after acupuncture ended (baseline to week 18 = -0.61, 95% CI = -1.46 to 0.24). Quality of life improved for acupuncture participants (baseline to week 12 difference = 11.79, 95% CI = 1.92 to 21.66), but group differences were not significant compared with usual care (25.58, 95% CI = -3.90 to 55.06). CONCLUSIONS: Group acupuncture is feasible and acceptable among linguistically and racially diverse safety net patients. Findings suggest clinically relevant reduction in pain from PDN and quality of life improvements associated with acupuncture, with no differences based on frequency.

Perspectives of English, Chinese, and Spanish-Speaking Safety-Net Patients on Clinician Computer Use: Qualitative Analysis.

BACKGROUND: Safety-net systems serve patients with limited health literacy and limited English proficiency (LEP) who face communication barriers. However, little is known about how diverse safety-net patients feel about increasing clinician electronic health record (EHR) use. OBJECTIVE: The aim of this study was to better understand how safety-net patients, including those with LEP, view clinician EHR use. METHODS: We conducted focus groups in English, Spanish, and Cantonese (N=37) to elicit patient perspectives on how clinicians use EHRs during clinic visits. Using a grounded theory approach, we coded transcripts to identify key themes. RESULTS: Across multiple language groups, participants accepted multitasking and silent clinician EHR use if focused on their care. However, participants desired more screen share and eye contact, especially when demonstrating physical concerns. All participants, including LEP participants, wanted clinicians to include them in EHR use. CONCLUSIONS: Linguistically diverse patients accept the value of EHR use during outpatient visits but desire more eye contact, verbal warnings before EHR use, and screen-sharing. Safety-net health systems should support clinicians in completing EHR-related tasks during the visit using patient-centered strategies for all patients.

Impact of a Primary Care CKD Registry in a US Public Safety-Net Health Care Delivery System: A Pragmatic Randomized Trial.

BACKGROUND: Many individuals with chronic kidney disease (CKD) do not receive guideline-concordant care. We examined the impact of a team-based primary care CKD registry on clinical measures and processes of care among patients with CKD cared for in a public safety-net health care delivery system. STUDY DESIGN: Pragmatic trial of a CKD registry versus a usual-care registry for 1 year. SETTING & PARTICIPANTS: Primary care providers (PCPs) and their patients with CKD in a safety-net primary care setting in San Francisco. INTERVENTION: The CKD registry identified at point of care all patients with CKD, those with blood pressure (BP)>140/90mmHg, those without angiotensin-converting enzyme (ACE) inhibitor/angiotensin receptor blocker (ARB) prescription, and those without albuminuria quantification in the past year. It also provided quarterly feedback pertinent to these metrics to promote "outreach" to patients with CKD. The usual-care registry provided point-of-care cancer screening and immunization data. OUTCOMES: Changes in systolic BP at 12 months (primary outcome), proportion of patients with BP control, prescription of ACE inhibitors/ARBs, quantification of albuminuria, severity of albuminuria, and estimated glomerular filtration rate. RESULTS: The patient population (n=746) had a mean age of 56.7±12.1 (standard deviation) years, was 53% women, and was diverse (8% non-Hispanic white, 35.7% black, 24.5% Hispanic, and 24.4% Asian). Randomization to the CKD registry (30 PCPs, 285 patients) versus the usual-care registry (49 PCPs, 461 patients) was associated with 2-fold greater odds of ACE inhibitor/ARB prescription (adjusted OR, 2.25; 95% CI, 1.45-3.49) and albuminuria quantification (adjusted OR, 2.44; 95% CI, 1.38-4.29) during the 1-year study period. Randomization to the CKD registry was not associated with changes in systolic BP, proportion of patients with uncontrolled BP, or degree of albuminuria or estimated glomerular filtration rate. LIMITATIONS: Potential misclassification of CKD; missing baseline medication data; limited to study of a public safety-net health care system. CONCLUSIONS: A team-based safety-net primary care CKD registry did not improve BP parameters, but led to greater albuminuria quantification and more ACE inhibitor/ARB prescriptions after 1 year. Adoption of team-based CKD registries may represent an important step in translating evidence into practice for CKD management.

Diabetes Screening among Antipsychotic-Treated Adults with Severe Mental Illness in an Integrated Delivery System: A Retrospective Cohort Study.

BACKGROUND: Severe mental illness (SMI) is associated with increased risk for type 2 diabetes, partly due to adverse metabolic effects of antipsychotic medications. In public health care settings, annual screening rates are 30%. We measured adherence to national diabetes screening guidelines for patients taking antipsychotic medications. OBJECTIVE: To estimate diabetes screening prevalence among patients with SMI within an integrated health care system, and to assess characteristics associated with lack of screening. DESIGN: Retrospective cohort study. PARTICIPANTS: Antipsychotic-treated adults with SMI. We excluded participants with known diabetes. MAIN MEASURES: Primary outcome was screening via fasting glucose test or hemoglobin A1c during a 1-year period. KEY RESULTS: In 2014, 16,754 patients with SMI diagnoses were receiving antipsychotics. Seventy-four percent of these patients' providers ordered diabetes screening tests that year, but only 55% (9247/16,754) received screening. When the observation time frame was extended to 2 years, 73% (12,250/16,754) were screened. Adjusting for sex and race/ethnicity, young adults (aged 18-29 years) were less likely to receive screening than older age groups [adjusted RR (aRR) 1.23-1.57, p < 0.0001]. Compared to whites, screening was more common for Asians (aRR 1.141, 95% CI 1.089-1.195, p < 0.0001), less common for blacks (aRR 0.946, 95% CI 0.898-0.997, p < 0.0375), and no different for Hispanics (aRR 1.030, 95% CI 0.988-1.074, p = 0.165). Smokers were less likely to be screened than non-smokers (aRR 0.93, 95% CI 0.89-0.97, p < 0.0008). Utilization of either mental health or primary care services increased the likelihood of screening. CONCLUSIONS: While almost three-fourths of adults with SMI taking antipsychotic medications received a lab order for diabetes screening, only 55% received screening within a 12-month period. Young adults and smokers were less likely to be screened, despite their disproportionate metabolic risk. Future studies should assess the barriers and facilitators with regard to diabetes screening in this vulnerable population at the patient, provider, and system levels.