Social Determinants of Health Influence Future Health Care Costs in the Medicaid Cohort of the District of Columbia Study.

Policy Points Social determinants of health are an important predictor of future health care costs. Medicaid must partner with other sectors to address the underlying causes of its beneficiaries' poor health and high health care spending. CONTEXT: Social determinants of health are an important predictor of future health care costs but little is known about their impact on Medicaid spending. This study analyzes the role of social determinants of health (SDH) in predicting future health care costs for adult Medicaid beneficiaries with similar past morbidity burdens and past costs. METHODS: We enrolled into a prospective cohort study 8,892 adult Medicaid beneficiaries who presented for treatment at an emergency department or clinic affiliated with two hospitals in Washington, DC, between September 2017 and December 31, 2018. We used SDH information measured at enrollment to categorize our participants into four social risk classes of increasing severity. We used Medicaid claims for a 2-year period; 12 months pre- and post-study enrollment to measure past and future morbidity burden according to the Adjusted Clinical Groups system. We also used the Medicaid claims data to characterize total annual Medicaid costs one year prior to and one year after study enrollment. RESULTS: The 8,892 participants were primarily female (66%) and Black (91%). For persons with similar past morbidity burdens and past costs (p < 0.01), the future morbidity burden was significantly higher in the upper two social risk classes (1.15 and 2.04, respectively) compared with the lowest one. Mean future health care spending was significantly higher in the upper social risk classes compared with the lowest one ($2,713, $11,010, and $17,710, respectively) and remained significantly higher for the two highest social risk classes ($1,426 and $3,581, respectively), given past morbidity burden and past costs (p < 0.01). When we controlled for future morbidity burden (measured concurrently with future costs), social risk class was no longer a significant predictor of future health care costs. CONCLUSIONS: SDH are statistically significant predictors of future morbidity burden and future costs controlling for past morbidity burden and past costs. Further research is needed to determine whether current payment systems adequately account for differences in the care needs of highly medically and socially complex patients.

Latent Class Analysis to Represent Social Determinant of Health Risk Groups in the Medicaid Cohort of the District of Columbia.

OBJECTIVE: To develop distinct social risk profiles based on social determinants of health (SDH) information and to determine whether these social risk groups varied in terms of health, health care utilization, and costs. METHODS: We prospectively enrolled 8943 beneficiaries insured by the District of Columbia Medicaid program between September 2017 and December 2018. Participants completed a SDH survey and we obtained their Medicaid claims data for a 2-year period before study enrollment. We used latent class analysis (LCA) to identify distinct social risk profiles based on their SDH responses. We assessed the relationship among different SDH as well as the relationship among the social risk classes and health, health care use and costs. RESULTS: The majority of SDH were moderately to strongly correlated with one another. LCA yielded 4 distinct social risk groups. Group 1 reported the least social risks with the most employed. Group 2 was distinguished by financial strain and housing instability with fewer employed. Group 3 were mostly unemployed with limited car and internet access. Group 4 had the most social risks and most unemployed. The social risk groups demonstrated meaningful differences in health, acute care utilization, and health care costs with group 1 having the best health outcomes and group 4 the worst (P<0.05). CONCLUSIONS: LCA is a practical method of aggregating correlated SDH data into a finite number of distinct social risk groups. Understanding the constellation of social challenges that patients face is critical when attempting to address their social needs and improve health outcomes.

The Impact of Social Determinants of Health on Medication Adherence: a Systematic Review and Meta-analysis.

BACKGROUND: Medication adherence (MA) is critical to successful chronic disease management. It is not clear how social determinants of health (SDH) impact MA. We conducted a systematic review and meta-analysis to summarize the evidence on the relationship between SDH and MA. METHODS: We conducted a systematic review of the literature using a Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) format. A literature search was performed using three databases: PubMed, Scopus, and Cochrane Clinical Trials Register in December of 2018. Included studies were completed in the USA, included adults aged 18 years and older, measured at least one social determinant of health, and medication adherence was the primary outcome measure. Data from included full texts were independently extracted using a standardized data extraction form. We then conducted a meta-analysis and pooled the odds ratios from the included studies for each social determinant as well as for all SDH factors collectively. RESULTS: A total of 3137 unduplicated abstracts were identified from our database searches. A total of 173 were selected for full text review after evaluating the abstract. A total of 29 articles were included for this systematic review. Economic-related SDH factors and MA were mostly commonly examined. The meta-analysis revealed a significant relationship between food insecurity (aOR = 0.56; 95% CI 0.42-0.7), housing instability (aOR = 0.64; 95% CI 0.44-0.93), and social determinants overall (aOR = 0.75; 95% CI 0.65-0.88) and medication adherence. DISCUSSION: Food insecurity and housing instability most consistently impacted medication adherence. Although included studies were heterogenous and varied widely in SDH and MA measurements, adverse social determinants overall were significantly associated with lower MA. The relationship between SDH and MA warrants more attention and research by health care providers and policymakers.

The Influence of Social Determinants of Health on Emergency Departments Visits in a Medicaid Sample.

STUDY OBJECTIVE: We evaluate the relationship between social determinants of health and emergency department (ED) visits in the Medicaid Cohort of the District of Columbia. METHODS: We conducted a retrospective cohort analysis of 8,943 adult Medicaid beneficiaries who completed a social determinants of health survey at study enrollment. We merged the social determinants of health data with participants' Medicaid claims data for up to 24 months before enrollment. Using latent class analysis, we grouped our participants into 4 distinct social risk classes based on similar responses to the social determinants of health questions. We classified ED visits as primary care treatable or ED care needed, using the Minnesota algorithm. We calculated the adjusted log relative primary care treatable and ED care needed visit rates among the social risk classes by using generalized linear mixed-effects models. RESULTS: The majority (71%) of the 49,111 ED visits made by the 8,943 participants were ED care needed. The adjusted log relative rate of both primary care treatable and ED care needed visit rates increased with each higher (worse) social risk class compared with the lowest class. Participants in the highest social risk class (ie, unemployed and many social risks) had a log relative primary care treatable and ED care needed rate of 39% (range 28% to 50%) and 29% (range 21% to 38%), respectively, adjusted for age, sex, and illness severity. CONCLUSION: There is a strong relationship between social determinants of health and ED utilization in this Medicaid sample that is worth investigating in other Medicaid samples and patient populations.

A health-related social needs referral program for Medicaid beneficiaries treated in an emergency department.

BACKGROUND: Social determinants of health (SDH) play an important role in health outcomes. This study sought to evaluate the effectiveness of a SDH screening and health-related social needs (HRSNs) referral program in an emergency department (ED) setting with adult Medicaid beneficiaries. METHODS: Between November 2016 and March 2017 we enrolled adult Medicaid patients in a prospective cohort study. Research assistants (RAs) completed an SDH screening survey with participants and asked them if they needed assistance with HRSNs related to medical, behavioral health, wellness, housing, food, legal and job training issues. RAs referred participants to community-based organizations (CBO) for their top three HRSNs. Patients referred to at least one CBO were phoned a month later to determine whether their HRSN was addressed and CBOs also reported their assistance rates within four months of the ED visit. RESULTS: Of the 505 patients enrolled, 69% were female, 82% completed high school, and 57% reported working. Most participants (85%) requested assistance for at least one HRSN. Almost half (44%) received referrals to three different agencies. Help with housing (70%), medical issues (51%), and finding food (42%) were the most common. Among the 430 subjects referred to ≥1 agency, 76% completed the follow-up interview. Few patients reported receiving help from the referral agencies (5% for a wellness program to 15% for medical services). Referral agencies generally reported even lower assistance rates (0% for job training to 17% for medical services). CONCLUSION: The majority of adult Medicaid patients treated in our ED wanted assistance with one or more HRSN. The passive referral system we implemented resulted in few patients receiving assistance from the referral agency, regardless of whether measured by self-report or by agency.

Randomized controlled trial to improve primary care follow-up among emergency department patients.

STUDY OBJECTIVE: Primary care (PC) follow-up for discharged emergency department (ED) patients provides patients with further medical attention. We conducted a pilot randomized controlled trial to determine whether using a freely-available physician appointment-booking website results in higher self-reported PC follow-up. METHODS: We randomized discharged patients whom treating physicians determined PC follow-up was important and who possessed health insurance but had no PC provider to one of three groups: (1) a PC appointment booked through the booking website prior to ED discharge; (2) written information on how to use the booking website; or (3) usual care (i.e. standard follow-up instructions). We phoned subjects two weeks after the ED visit to determine whether they had completed a PC follow-up visit. We also asked subjects about their satisfaction with obtaining a PC appointment, satisfaction with the ED visit, symptom resolution and subsequent ED visits. The self-reported PCP follow-up rate was compared among the study groups by estimating the risk difference (RD) and 95% CI between usual care and each intervention group. RESULTS: 272 subjects were enrolled and randomized and 68% completed the two-week telephone follow-up interview. The self-reported PCP follow-up rate was higher (52%) among subjects whose appointment was booked on the website before ED discharge (RD = 16%; 95% CI -1%, 34%) and lower (25%) for subjects who received booking website information (RD = 13%; 95% CI -32%, 7%) compared to subjects (36%) in the usual care group. A higher percentage of subjects in the booking group were more likely to report being extremely or very satisfied with obtaining a PC appointment (78%) compared to those who received booking website information (54%) or usual care (40%). CONCLUSION: Among ED patients that providers judged PC follow-up is important, using a booking website to schedule an appointment before ED discharge resulted in a higher but not statistically significant self-reported PC follow-up rate. This intervention warrants further investigation in a study with a larger sample size and objective follow-up visit data.

Use of a midstream clean catch mobile application did not lower urine contamination rates in an ED.

OBJECTIVES: Urine microscopy is a common test performed in emergency departments (EDs). Urine specimens can easily become contaminated by different factors, including the collection method. The midstream clean-catch (MSCC) collection technique is commonly used to reduce urine contamination. The urine culture contamination rate from specimens collected in our ED is 30%. We developed an instructional application (app) to show ED patients how to provide a MSCC urine sample. We hypothesized that ED patients who viewed our instructional app would have significantly lower urine contamination rates compared to patients who did not. METHODS: We prospectively enrolled 257 subjects with a urinalysis and/or urine culture test ordered in the ED and asked them to watch our MSCC instructional app. After prospective enrollment was complete, we retrospectively matched each enrolled subject to an ED patient who did not watch the instructional app. Controls were matched to cases based on gender, type of urine specimen provided, ED visit date and shift. Urinalysis and urine culture contamination results were compared between the matched pairs using McNemar's test. RESULTS: The overall urine culture contamination rate of the 514 subjects was 38%. The majority of the matched pairs had a urinalysis (63%) or urinalysis plus urine culture (35%) test done. There were no significant differences in our urine contamination rates between the matched pairs overall or when stratified by gender, by prior knowledge of the clean catch process or by type of urine specimen. CONCLUSION: We did not see a lower contamination rate for patients who viewed our instructional app compared to patients who did not. It is possible that MSCC is not effective for decreasing urine specimen contamination.

Ultrasonography Versus Landmark for Peripheral Intravenous Cannulation: A Randomized Controlled Trial.

STUDY OBJECTIVE: Randomized controlled trials report inconsistent findings when comparing the initial success rate of peripheral intravenous cannulation using landmark versus ultrasonography for patients with difficult venous access. We sought to determine which method is superior for patients with varying levels of intravenous access difficulty. METHODS: We conducted a 2-group, parallel, randomized, controlled trial and randomly allocated 1,189 adult emergency department (ED) patients to landmark or ultrasonography, stratified by difficulty of access and operator. ED technicians performed the peripheral intravenous cannulations. Before randomization, technicians classified subjects as difficult, moderately difficult, or easy access according to visible or palpable veins and perception of difficulty with a landmark approach. If the first attempt failed, we randomized subjects a second time. We compared the initial and second-attempt success rates by procedural approach and difficulty of intravenous access, using a generalized linear mixed regression model, adjusted for operator. RESULTS: The 33 participating technicians enrolled a median of 26 subjects (interquartile range 9 to 55). The initial success rate was 81% but varied significantly by technique and difficulty of access. The initial success rate by ultrasonography was higher than landmark for patients with difficult access (48.0 more successes per 100 tries; 95% confidence interval [CI] 35.6 to 60.3) or moderately difficult access (10. 2 more successes per 100 tries; 95% CI 1.7 to 18.7). Among patients with easy access, landmark yielded a higher success rate (10.6 more successes per 100 tries; 95% CI 5.8 to 15.4). The pattern of second-attempt success rates was similar. CONCLUSION: Ultrasonographic peripheral intravenous cannulation is advantageous among patients with difficult or moderately difficult intravenous access but is disadvantageous among patients anticipated to have easy access.

Impact of Subsidized Health Insurance Coverage on Emergency Department Utilization by Low-income Adults in Massachusetts.

BACKGROUND: In 2006, Massachusetts expanded insurance coverage to many low-income individuals. OBJECTIVES: This study aimed to estimate the change in emergency department (ED) utilization per individual among a cohort who qualified for subsidized health insurance following the Massachusetts health care reform. RESEARCH DESIGN: We obtained Massachusetts public health insurance enrollment data for the fiscal years 2004-2008 and identified 353,515 adults who enrolled in Commonwealth Care, a program that subsidizes insurance for low-income adults. We merged the enrollment data with statewide ED visit claims and created a longitudinal file that indicated each enrollee's ED visits and insurance status each month during the preenrollment and postenrollment periods. MEASURES: We estimated the ratio in an individual's odds of an ED visit during the postperiod versus preperiod by conditional logistic regression. RESULTS: Among the 112,146 CommCare enrollees who made at least 1 ED visit during the study period, an individual's odds of an ED visit decreased 4% [odds ratio (OR)=0.96; 95% confidence interval (CI), 0.94, 0.98] postenrollment. However, it varied significantly depending on preenrollment insurance status. A person's odds of an ED visit was 12% higher in the postperiod among enrollees not publicly insured prior (OR=1.12; 95% CI, 1.10, 1.25), but was 18% lower among enrollees who transitioned from the Health Safety Net, a program that pays for limited services for low-income individuals (OR=0.82; 95% CI, 0.78, 0.85). CONCLUSIONS: Expanding subsidized health insurance did not uniformly change ED utilization for all newly insured low-income adults in Massachusetts.

Treating Gastritis, Peptic Ulcer Disease, and Dyspepsia in the Emergency Department: The Feasibility and Patient-Reported Outcomes of Testing and Treating for Helicobacter pylori Infection.

STUDY OBJECTIVE: Helicobacter pylori infection is a known cause of gastritis, dyspepsia, and peptic ulcer disease. Testing for infection is indicated in high-prevalence outpatient settings. The objective of this prospective cohort study is to examine the feasibility of a test-and-treat strategy in the emergency department (ED) setting. METHODS: During a 13-month period at an academic ED, symptomatic patients underwent a point-of-care urea breath test (BreathID; Exalenz Bioscience Inc., Modiin, Israel) during the ED visit. Research assistants abstracted treatment information from the electronic medical record. Patients who tested positive were prescribed triple-therapy medication. All enrollees were telephoned 2 weeks after the index ED visit to ascertain symptom resolution and treatment compliance. H pylori-positive subjects were asked to return to the ED for retest. Risk differences in patient and clinical characteristics were compared by H pylori infection status, and a paired t test was used to estimate differences in pain resolution at the ED visit and follow-up. RESULTS: Of the 465 symptomatic patients, 271 were eligible and 212 enrolled and were tested for H pylori. Forty-nine patients (23%) (95% confidence interval [CI] 18% to 30%) had a positive result, 33 of 49 (67%) (95% CI 53% to 79%) self-reported receiving the medication as prescribed at follow-up, 23 of 49 (47%) (95% CI 34% to 61%) were retested, and 20 of 49 (41%) (95% CI 28% to 55%) had a negative result. There was a significant reduction in pain severity, regardless of H pylori infection status. CONCLUSION: A test-and-treat strategy is feasible in the ED setting and could benefit symptomatic patients.

Emergency department variation in utilization and diagnostic yield of advanced radiography in diagnosis of pulmonary embolus.

BACKGROUND: There is growing pressure to measure and reduce unnecessary imaging in the emergency department. OBJECTIVE: We study provider and hospital variation in utilization and diagnostic yield for advanced radiography in diagnosis of pulmonary embolism (PE) and to assess patient- and provider-level factors associated with diagnostic yield. METHODS: Retrospective chart review of all adult patients presenting to four hospitals from January 2006 through December 2009 who had a computed tomography or ventilation/perfusion scan to evaluate for PE. Demographic data on the providers ordering the scans were collected. Diagnostic yield (positive scans/total scans ordered) was calculated at the hospital and provider level. The study was not designed to assess appropriateness of imaging. RESULTS: There was significant variation in utilization and diagnostic yield at the hospital level (chi-squared, p < 0.05). Diagnostic yield ranged from 4.2% to 8.2%; after adjusting for patient- and provider-level factors; the two hospitals with an emergency medicine residency training program had higher diagnostic yields (odds ratio [OR] 2.0, 95% confidence interval [CI] 1.6-2.5 and OR 1.9, 95% CI 1.5-2.4). There was no significant variation in diagnostic yield among the 90 providers after adjusting for patient, hospital, and provider characteristics. Providers with < 10 years of experience had lower odds of diagnosing a PE than more experienced graduates (OR 0.8, 95% CI 0.6-0.9). CONCLUSIONS: Although we found significant variation in utilization of advanced radiography for PE and diagnostic yield at the hospital level, there was no significant variation at the provider level after adjusting for patient-, hospital-, and provider-level factors.

The validity of self-reported primary adherence among Medicaid patients discharged from the emergency department with a prescription medication.

STUDY OBJECTIVE: We determine the validity of self-reported prescription filling among emergency department (ED) patients. METHODS: We analyzed a subgroup of 1,026 patients enrolled in a randomized controlled trial who were prescribed at least 1 medication at ED discharge, were covered by Medicaid insurance, and completed a telephone interview 1 week after the index ED visit. We extracted all pharmacy and health care use claims information from a state Medicaid database for all subjects within 30 days of their index ED visit. We used the pharmacy claims as the criterion standard and evaluated the accuracy of self-reported prescription filling obtained during the follow-up interview by estimating its sensitivity, specificity, positive likelihood ratio and negative likelihood ratio tests. We also examined whether the accuracy of self-reported prescription filling varied significantly by patient and clinical characteristics. RESULTS: Of the 1,635 medications prescribed, 74% were filled according to the pharmacy claims. Subjects reported filling 90% of prescriptions for a difference of 16% (95% confidence interval [CI] 14% to 18%). The self-reported data had high sensitivity (0.96; 95% CI 0.95 to 0.97) but low specificity (0.30; 95% CI 0.26 to 0.34). The positive likelihood ratio (1.37; 95% CI 1.29 to 2.46) and negative likelihood ratio (0.13; 95% CI 0.09 to 0.17) tests indicate that self-reported data are not a good indicator of prescription filling but are a moderately good indicator of nonfulfillment. Several factors were significantly associated with lower sensitivity (drug class and over-the-counter medications) and specificity (drug class, as needed, site and previous ED use). CONCLUSION: Self-reported prescription filling is overestimated and associated with few factors.

Does providing prescription information or services improve medication adherence among patients discharged from the emergency department? A randomized controlled trial.

STUDY OBJECTIVE: We determine whether prescription information or services improve the medication adherence of emergency department (ED) patients. METHODS: Adult patients treated at one of 3 EDs between November 2010 and September 2011 and prescribed an antibiotic, central nervous system, gastrointestinal, cardiac, or respiratory drug at discharge were eligible. Subjects were randomly assigned to usual care or one of 3 prescription information or services intervention groups: (1) practical services to reduce barriers to prescription filling (practical prescription information or services); (2) consumer drug information from MedlinePlus (MedlinePlus prescription information or services); or (3) both services and information (combination prescription information or services). Self-reported medication adherence, measured by primary adherence (prescription filling) and persistence (receiving medicine as prescribed) rates, was determined during a telephone interview 1 week postdischarge. RESULTS: Of the 3,940 subjects enrolled and randomly allocated to treatment, 86% (N=3,386) completed the follow-up interview. Overall, primary adherence was 88% and persistence was 48%. Across the sites, primary adherence and persistence did not differ significantly between usual care and the prescription information or services groups. However, at site C, subjects who received the practical prescription information or services (odds ratio [OR]=2.4; 95% confidence interval [CI] 1.4 to 4.3) or combination prescription information or services (OR=1.8; 95% CI 1.1 to 3.1) were more likely to fill their prescription compared with usual care. Among subjects prescribed a drug that treats an underlying condition, subjects who received the practical prescription information or services were more likely to fill their prescription (OR=1.8; 95% CI 1.0 to 3.1) compared with subjects who received usual care. CONCLUSION: Prescription filling and receiving medications as prescribed was not meaningfully improved by offering patients patient-centered prescription information and services.

The Influence of Social Determinants on Cancer Screening in a Medicaid Sample.

INTRODUCTION: Little attention has been paid to the influence of individually measured social determinants of health on cancer screening tests in the Medicaid population. METHODS: Analysis was conducted on 2015-2020 claims data from a subgroup of Medicaid enrollees from the District of Columbia Medicaid Cohort Study (N=8,943) who were eligible for colorectal (n=2,131), breast (n=1,156), and cervical cancer (n= 5,068) screening. Participants were grouped into four distinct social determinants of health groups on the basis of their responses to social determinants of health questionnaire. This study estimated the influence of the four social determinants of health groups on the receipt of each screening test using log-binomial regression adjusted for demographics, illness severity, and neighborhood-level deprivation. RESULTS: The receipt of cancer screening tests was 42%, 58%, and 66% for colorectal, cervical, and breast cancer, respectively. Those in the most disadvantaged social determinants of health group were less likely to receive a colonoscopy/sigmoidoscopy than those in the least disadvantaged one (adjusted RR=0.70, 95% CI=0.54, 0.92). The pattern for mammograms and Pap smears was similar (adjusted RR=0.94, 95% CI=0.80, 1.11 and adjusted RR=0.90, 95% CI=0.81, 1.00, respectively). In contrast, participants in the most disadvantaged social determinants of health group were more likely to receive fecal occult blood test than those in the least disadvantaged one (adjusted RR=1.52, 95% CI=1.09, 2.12). CONCLUSIONS: Severe social determinants of health measured at the individual level are associated with lower cancer preventive screening. A targeted approach that addresses the social and economic adversities that affect cancer screening could result in higher preventive screening rates in this Medicaid population.

Provider variation in fast track treatment time.

OBJECTIVE: To examine the degree to which fast track (FT) treatment time varies among providers. METHODS: A retrospective cohort study that included 105,783 FT visits at 3 emergency departments (EDs) during a 3-year period. We calculated the median treatment time for 80 primary providers (physicians and physician extenders) and 109 nurses (2 sites only). We used a hierarchical linear regression model that accounted for the clustering of patient visits to the same provider to estimate each provider's median treatment time controlling for patient, clinical, temporal, and ED demand (ie, number of arrivals) characteristics. RESULTS: Median FT treatment time across the 3 sites ranged from 48 to 134 minutes. Adjusted for other factors, the median FT treatment time of providers at the 90th versus 10th percentiles was 1.4 to 2.6 times longer across the 3 sites. The variation by FT nurses was also large. The median FT treatment time of nurses at the 90th versus 10th percentiles was 1.5 and 1.4 times longer at sites A and C, respectively. At all sites, provider and clinical factors explained more variation in FT treatment time than patient, ED demand, or temporal factors. CONCLUSIONS: There were clinically meaningful differences in FT treatment time among the providers at all sites. Given that the providers share the same environment and patient population, understanding why such large provider variation in FT treatment time exists warrants further investigation.

Relationship Between Social Determinants of Health and Antihypertensive Medication Adherence in a Medicaid Cohort.

BACKGROUND: Little is known about the relationship between social determinants of health (SDH) and medication adherence among Medicaid beneficiaries with hypertension. METHODS: We conducted a posthoc subgroup analysis of 3044 adult Medicaid beneficiaries who enrolled in a parent prospective cohort study and had a diagnosis of hypertension based on their Medicaid claims during a 24-month period before study enrollment. We calculated the proportion of days covered by at least one antihypertensive medication during the first 12 months after study enrollment using the prescription claims data. We measured numerous SDH at the time of study enrollment and we categorized our hypertension cohort into 4 social risk groups based on their response profiles to the SDH variables. We compared the mean proportion of days covered by the different levels of the SDH factors. We modeled the odds of being covered by an antihypertensive medication daily throughout the follow-up period by social risk group, adjusted for age, sex, and disease severity using a generalized linear model. RESULTS: The nonrandom sample was predominately Black (93%), female (62%) and had completed high school (77%). The mean proportion of days covered varied significantly by different SDH, such as food insecurity (49%-56%), length of time living at present place (47%-57%), smoking status (50%-56%), etc. Social risk group was a significant predictor of medication adherence. Participants in the 2 groups with the most social risks were 36% (adjusted odds ratio=0.64 [95% CI, 0.53-0.78]) and 20% (adjusted odds ratio=0.80 [95% CI, 0.70-0.93]) less adherent to their hypertension therapy compared with participants in the group with the fewest social risks. CONCLUSIONS: Social risks are associated with lower antihypertensive medication adherence in the Medicaid population.

The effect of triage diagnostic standing orders on emergency department treatment time.

STUDY OBJECTIVE: Triage standing orders are used in emergency departments (EDs) to initiate evaluation when there is no bed available. This study evaluates the effect of diagnostic triage standing orders on ED treatment time of adult patients who presented with a chief complaint for which triage standing orders had been developed. METHODS: We conducted a retrospective nested cohort study of patients treated in one academic ED between January 2007 and August 2009. In this ED, triage nurses can initiate full or partial triage standing orders for patients with chest pain, shortness of breath, abdominal pain, or genitourinary complaints. We matched patients who received triage standing orders to those who received room orders with respect to clinical and temporal factors, using a propensity score. We compared the median treatment time of patients with triage standing orders (partial or full) to those with room orders, using multivariate linear regression. RESULTS: Of the 15,188 eligible patients, 25% received full triage standing orders, 56% partial triage standing orders, and 19% room orders. The unadjusted median ED treatment time for patients who did not receive triage standing orders was 282 minutes versus 230 minutes for those who received a partial triage standing order or full triage standing orders (18% decrease). Controlling for other factors, triage standing orders were associated with a 16% reduction (95% confidence interval -18% to -13%) in the median treatment time, regardless of chief complaint. CONCLUSION: Diagnostic testing at triage was associated with a substantial reduction in ED treatment time for 4 common chief complaints. This intervention warrants further evaluation in other EDs and with different clinical conditions and tests.

Successful sonographic visualisation of the abdominal aorta differs significantly among a diverse group of credentialed emergency department providers.

BACKGROUND: The aims of this study were to examine the association between emergency department (ED) providers' experience with bedside ultrasound after achieving credentialing for abdominal aortic aneurysm (AAA) sonography, and their successful visualisation rate of the abdominal aorta among consecutive patients who presented asymptomatically but with risk factors for AAA. METHODS: Study coordinators enrolled asymptomatic men > 50 years presenting to a single ED with AAA risk factors. One of 20 AAA credentialed ED sonographers screened each subject for AAA. Screening forms and ultrasound images were reviewed for quality assurance. Multivariate logistic regression was used to estimate OR of visualisation and correct measurement among providers with varying experience, adjusted for bowel gas and body mass index (BMI). RESULTS: During the 12 week enrolment, 278 patients were eligible and 196 (70%) enrolled. ED sonographers accurately visualised the entire abdominal aorta of 140 subjects (71.4%), did not completely visualise 40 (20.4%) and incorrectly measured 16 (8.2%). After controlling for bowel gas and BMI, providers with < 1 year of experience (OR 6.7, 95% CI 2.0 to 22.2) and with 1-3 years experience post credentialing for AAA (OR 9.6, 95% CI 2.2 to 43.2) were significantly less likely to visualise and accurately measure the aorta compared to providers with >3 years experience. CONCLUSION: AAA sonography performance varied markedly among a diverse group of already credential ED sonographers. The most experienced providers demonstrated best performance. The present results suggest that some providers might require > 25 proctored scans to ensure competency and training, and training on technically difficult patients should be part of the credentialing process.

Social determinants of health impacting adherence to diabetic retinopathy examinations.

INTRODUCTION: This study evaluates the association of multidimensional social determinants of health (SDoH) with non-adherence to diabetic retinopathy examinations. RESEARCH DESIGN AND METHODS: This was a post-hoc subgroup analysis of adults with diabetes in a prospective cohort study of enrollees in the Washington, DC Medicaid program. At study enrollment, participants were given a comprehensive SDoH survey based on the WHO SDoH model. Adherence to recommended dilated diabetic retinopathy examinations, as determined by qualifying Current Procedural Terminology codes in the insurance claims, was defined as having at least one eye examination in the 2-year period following study enrollment. RESULTS: Of the 8943 participants enrolled in the prospective study, 1492 (64% female, 91% non-Hispanic Black) were included in this post-hoc subgroup analysis. 47.7% (n=712) were adherent to the recommended biennial diabetic eye examinations. Not having a regular provider (eg, a primary care physician) and having poor housing conditions (eg, overcrowded, inadequate heating) were associated with decreased odds of adherence to diabetic eye examinations (0.45 (95% CI 0.31 to 0.64) and 0.70 (95% CI 0.53 to 0.94), respectively) in the multivariate logistic regression analysis controlling for age, sex, race/ethnicity, overall health status using the Chronic Disability Payment System, diabetes severity using the Diabetes Complications Severity Index, history of eye disease, and history of diabetic eye disease treatment. CONCLUSIONS: A multidimensional evaluation of SDoH revealed barriers that impact adherence to diabetic retinopathy examinations. Having poor housing conditions and not having a regular provider were associated with poor adherence. A brief SDoH assessment could be incorporated into routine clinical care to identify social risks and connect patients with the necessary resources to improve adherence to diabetic retinopathy examinations.

Injuries related to electric scooter and bicycle use in a Washington, DC, emergency department.

OBJECTIVE: E-scooter use has grown rapidly in the United States. Its rise in popularity has coincided with the promotion of cycling in many cities, but more needs to be known about how these transportation modes compare to determine if cycling should serve as an appropriate benchmark for policy decisions and safety expectations regarding e-scooters. METHODS: We examined characteristics of adults seeking treatment in a Washington, DC, emergency department (ED) for injuries associated with riding e-scooters during 2019 (n = 99) or bicycles during 2015-2017 (n = 337). RESULTS: E-scooter incidents less frequently involved moving vehicles (13.1% vs. 37.7%) or occurred on roads (24.5% vs. 50.7%) than cycling incidents. A smaller proportion of injured e-scooter riders were ages 30-49 (32.3% vs. 48.4%) and a larger proportion were 50 and older (34.3% vs. 22.6%) or female (45.5% vs. 29.1%). Distal lower extremity injuries were more common among e-scooter riders (13.1% vs. 3.0%; RR, 2.76; 95% CI, 1.79-3.54), and injuries to the proximal upper extremity (9.1% vs. 20.5%; RR, 0.49; 95% CI, 0.24-0.92) or chest, abdomen, and spine (3.0% vs. 14.0%; RR, 0.24; 95% CI, 0.07-0.70) were less common. Head injury rates were similar, but e-scooter riders more often experienced concussion with loss of consciousness (4.0% vs. 0.6%; RR, 3.03; 95% CI, 1.20-4.09) and were far less likely to wear helmets (2.0% vs. 66.4%). Estimated ED presentation rates per million miles traveled citywide were higher among e-scooter riders than cyclists (RR, 3.76; 95% CI, 3.08-4.59). CONCLUSIONS: E-scooters and bicycles are both popular forms of micromobility, but the characteristics of riders injured on them, the ways in which they become injured, and the types of injuries they sustain differ substantially. E-scooter rider injury rates, though currently high, may decrease as they gain experience; however, if the number of new users continues to climb, they will persist in using the ED more often than cyclists per mile that they travel.