Age and sex disparities in blood pressure control and therapeutic inertia: Impact of a quality improvement program.

Objective: Hypertension quality improvement programs reduce uncontrolled blood pressure (BP) but impact may differ by sex and age. Methods: This study examined uncontrolled BP, defined as a BP ≥ 140/90 mmHg, and therapeutic inertia, defined as absence of medication initiation or escalation during visits with uncontrolled BP, by sex and by age group (19-40, 41-65, 66-75, and 76+ years) during a 12 month follow-up period among 21, 861 patients with hypertension and ≥ two visits in primary care clinics enrolled in the American Medical Association (AMA) Measure Accurately, Act Rapidly, and Partner with Patients (MAP) BP hypertension quality improvement program. Results: The mean age was 64.8 years (standard deviation [SD 12.8]) and ranged from 19 to 87 years; 53.6% were female. In age groups 19-40, 41-65, 66-75, 76-87 years, uncontrolled BP at the first clinic visit was present in 51.5%, 42.5%, 37.5% and 36.6% of males, respectively, and in 40.0%, 38.0%, 36.0% and 39.6% of females, respectively. Based on vital signs at the first vs. last clinic visit, the proportion of patients with uncontrolled BP in age groups 19-40, 41-65, 66-75 years declined by 19.4%, 13.5%, 10.1% and 8.7% in males, respectively, and 14.4%, 12.5%, 9.3%, and 8.4%, among females, respectively. Therapeutic inertia ranged from 66.5% and 75.9% of clinic visits among males and females age 19-40 years, to 85.6% and 84.9% of clinic visits among males and females age 76-87 years, respectively. The proportion of clinic visits with therapeutic inertia was lower among males vs. females across all age groups until age 76-87 years. Conclusion: A quality improvement program improves BP control but declines in uncontrolled BP are larger and therapeutic inertia is lower for younger vs. older age groups and for males vs. females. More interventions are needed to reduce sex and age disparities in hypertension management.

Age and Comorbidities Are Associated With Therapeutic Inertia Among Older Adults With Uncontrolled Blood Pressure.

BACKGROUND: Lack of initiation or escalation of blood pressure (BP) lowering medication when BP is uncontrolled, termed therapeutic inertia (TI), increases with age and may be influenced by comorbidities. METHODS: We examined the association of age and comorbidities with TI in 22,665 visits with a systolic BP ≥140 mm Hg and/or diastolic BP ≥90 mm Hg among 7,415 adults age ≥65 years receiving care in clinics that implemented a hypertension quality improvement program. Generalized linear mixed models were used to determine the association of comorbidity number with TI by age group (65-74 and ≥75 years) after covariate adjustment. RESULTS: Baseline mean age was 75.0 years (SD 7.8); 41.4% were male. TI occurred in 79.0% and 83.7% of clinic visits in age groups 65-74 and ≥75 years, respectively. In age group 65-74 years, prevalence ratio of TI with 2, 3-4, and ≥5 comorbidities compared with zero comorbidities was 1.07 (95% confidence interval [CI]: 1.04, 1.12), 1.08 (95% CI: 1.05, 1.12), and 1.15 (95% CI: 1.10, 1.20), respectively. The number of comorbidities was not associated with TI prevalence in age group ≥75 years. After implementation of the improvement program, TI declined from 80.3% to 77.2% in age group 65-74 years and from 85.0% to 82.0% in age group ≥75 years (P < 0.001 for both groups). CONCLUSIONS: TI was common among older adults but not associated with comorbidities after age ≥75 years. A hypertension improvement program had limited impact on TI in older patients.

Prevalence and feasibility of assessing the frailty phenotype among hemodialysis patients in a dialysis unit.

BACKGROUND: Frailty increases risk of morbidity and mortality in hemodialysis patients. Frailty assessments could trigger risk reduction interventions if broadly adopted in clinical practice. We aimed to assess the clinical feasibility of frailty assessment among Veteran hemodialysis patients. METHODS: Hemodialysis patients' ≥50 years were recruited from a single dialysis unit between 9/1/2021 and 3/31/2022.Patients who consented underwent a frailty phenotype assessment by clinical staff. Five criteria were assessed: unintentional weight loss, low grip strength, self-reported exhaustion, slow gait speed, and low physical activity. Participants were classified as frail (3-5 points), pre-frail (1-2 points) or non-frail (0 points). Feasibility was determined by the number of eligible participants completing the assessment. RESULTS: Among 82 unique dialysis patients, 45 (52%) completed the assessment, 13 (16%) refused, 18 (23%) were not offered the assessment due to death, transfers, or switch to transplant or peritoneal dialysis, and 6 patients were excluded because they did not meet mobility criteria. Among assessed patients, 40(88%) patients were identified as pre-frail (46.6%) or frail (42.2%). Low grip strength was most common (90%). Those who refused were more likely to have peripheral vascular disease (p = 0.001), low albumin (p = 0.0187), low sodium (p = 0.0422), and ineligible for kidney transplant (p = 0.005). CONCLUSIONS: Just over half of eligible hemodialysis patients completed the frailty assessment suggesting difficulty with broad clinical adoption expectations. Among those assessed, frailty and pre-frailty prevalence was high. Given patients who were not tested were clinically high risk, our reported prevalence likely underestimates true frailty prevalence. Providing frailty reduction interventions to all hemodialysis patients could have high impact for this group.

Applying Customer Discovery Method to a Chronic Disease Self-Management Mobile App: Qualitative Study.

BACKGROUND: A significant health challenge is evident in the United States, with 6 in 10 adults having a chronic disease and 4 in 10 adults having 2 or more. Chronic disease self-management aims to prevent or delay disease progression and disability and reduce mortality risk. The evidence to support the use of information technology tools, including mobile apps, web-based portals, and web-based educational interventions, that support disease self-management and improve clinical outcomes is growing. Customer discovery and value proposition design methodology is a form of stakeholder engagement and is based on marketing and lean start-up business methods. As applied in health care, customer discovery and value proposition methodology can be used to understand the clinical problem and articulate the product's hypothesized unique value proposition relative to alternative options that are available to end users. OBJECTIVE: This study aims to describe the experience and findings of academic researchers applying the customer discovery and value proposition methodology to identify stakeholders, needs, adaptability, and sustainability of a chronic disease self-management mobile app (CDapp). The motivation of the work is to make mobile health app interventions accessible and acceptable for all segments of patients' chronic diseases. METHODS: Data were obtained through key informant interviews and analyzed using rapid qualitative analysis techniques. The value proposition framework was used to build the interview guide. The aim was to identify the needs, challenges (pains), and potential benefits (gains) of the CDapp for our stakeholders. RESULTS: Our results showed that the primary consumers (end users) of a CDapp were the patients. The app adopters (decision makers) can be medical center leaders including population health department managers or insurance providers, while the consumer adoption influencers (influencers or saboteurs) are clinicians and patient caregivers. We developed an ecosystem map to visualize the clinical practice workflow and how an app for chronic disease management might integrate within an academic health care center or system. A value proposition for the identified customer segments was generated. Each stakeholder segment was working within a different framework to improve patient self-management. Patients needed help to adhere to self-care activities and they needed tailored health education. Health care leaders aim to improve the quality of care while reducing costs and workload. Clinicians wanted to improve patient education and care while reducing the time burden. Our results also showed that within academic medical centers, there were variations regarding patients' self-reported abilities to manage their diseases. CONCLUSIONS: Customer discovery is a useful form of stakeholder engagement when designing studies that seek to implement, adapt, and sustain an intervention. The customer discovery and value proposition methodology can be used as an alternative or complementary approach to formative research to generate valuable information in a brief period.

Integrating Community Health Workers into Hospital Systems Through a Social Work Partnership: A Report from the Field.

While studies support the effectiveness of community health worker (CHW) services, best approaches for CHW integration in health systems are not well understood. We describe early outcomes from a partnership between a safety-net hospital systems' social work department and CHWs to address adverse social determinants of health of high-risk patients.

Nephrology-Palliative Care Collaboration to Promote Outpatient Hemodialysis Goals of Care Conversations.

Background: Goals of care conversations and corresponding life-sustaining treatment (LST) progress notes were completed for only one-fourth of patients on outpatient dialysis despite hospital-wide training with nephrologists at the Edward Hines, Jr. Veterans Affairs Hospital. The purpose of this quality improvement project was to increase completion of LST progress notes and corresponding orders among patients on dialysis through an interdisciplinary nephrology-palliative care collaboration. Observations: The nephrology and palliative care departments began an interdisciplinary collaboration for nephrology to consult palliative care to initiate goals of care conversations and complete LST progress notes with patients on dialysis. A coordinated workflow process was created that included multidisciplinary efforts for patient selection, patient education, and introduction and completion of goals of care conversations for patients on dialysis. Completion rates for LST notes increased from 27% to 81% following the 13-month intervention, with 69 of 85 patients having a documented LST progress note. Conclusions: A collaboration between nephrology and palliative care increased high-quality LST progress note completion. The next steps include expanding these collaborations at other dialysis units and evaluating the impact on patient outcomes.

The Evaluation of a Clinical Decision Support Tool Using Natural Language Processing to Screen Hospitalized Adults for Unhealthy Substance Use: Protocol for a Quasi-Experimental Design.

BACKGROUND: Automated and data-driven methods for screening using natural language processing (NLP) and machine learning may replace resource-intensive manual approaches in the usual care of patients hospitalized with conditions related to unhealthy substance use. The rigorous evaluation of tools that use artificial intelligence (AI) is necessary to demonstrate effectiveness before system-wide implementation. An NLP tool to use routinely collected data in the electronic health record was previously validated for diagnostic accuracy in a retrospective study for screening unhealthy substance use. Our next step is a noninferiority design incorporated into a research protocol for clinical implementation with prospective evaluation of clinical effectiveness in a large health system. OBJECTIVE: This study aims to provide a study protocol to evaluate health outcomes and the costs and benefits of an AI-driven automated screener compared to manual human screening for unhealthy substance use. METHODS: A pre-post design is proposed to evaluate 12 months of manual screening followed by 12 months of automated screening across surgical and medical wards at a single medical center. The preintervention period consists of usual care with manual screening by nurses and social workers and referrals to a multidisciplinary Substance Use Intervention Team (SUIT). Facilitated by a NLP pipeline in the postintervention period, clinical notes from the first 24 hours of hospitalization will be processed and scored by a machine learning model, and the SUIT will be similarly alerted to patients who flagged positive for substance misuse. Flowsheets within the electronic health record have been updated to capture rates of interventions for the primary outcome (brief intervention/motivational interviewing, medication-assisted treatment, naloxone dispensing, and referral to outpatient care). Effectiveness in terms of patient outcomes will be determined by noninferior rates of interventions (primary outcome), as well as rates of readmission within 6 months, average time to consult, and discharge rates against medical advice (secondary outcomes) in the postintervention period by a SUIT compared to the preintervention period. A separate analysis will be performed to assess the costs and benefits to the health system by using automated screening. Changes from the pre- to postintervention period will be assessed in covariate-adjusted generalized linear mixed-effects models. RESULTS: The study will begin in September 2022. Monthly data monitoring and Data Safety Monitoring Board reporting are scheduled every 6 months throughout the study period. We anticipate reporting final results by June 2025. CONCLUSIONS: The use of augmented intelligence for clinical decision support is growing with an increasing number of AI tools. We provide a research protocol for prospective evaluation of an automated NLP system for screening unhealthy substance use using a noninferiority design to demonstrate comprehensive screening that may be as effective as manual screening but less costly via automated solutions. TRIAL REGISTRATION: ClinicalTrials.gov NCT03833804; https://clinicaltrials.gov/ct2/show/NCT03833804. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/42971.

Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): a retrospective deep learning study.

BACKGROUND: Substance misuse is a heterogeneous and complex set of behavioural conditions that are highly prevalent in hospital settings and frequently co-occur. Few hospital-wide solutions exist to comprehensively and reliably identify these conditions to prioritise care and guide treatment. The aim of this study was to apply natural language processing (NLP) to clinical notes collected in the electronic health record (EHR) to accurately screen for substance misuse. METHODS: The model was trained and developed on a reference dataset derived from a hospital-wide programme at Rush University Medical Center (RUMC), Chicago, IL, USA, that used structured diagnostic interviews to manually screen admitted patients over 27 months (between Oct 1, 2017, and Dec 31, 2019; n=54 915). The Alcohol Use Disorder Identification Test and Drug Abuse Screening Tool served as reference standards. The first 24 h of notes in the EHR were mapped to standardised medical vocabulary and fed into single-label, multilabel, and multilabel with auxillary-task neural network models. Temporal validation of the model was done using data from the subsequent 12 months on a subset of RUMC patients (n=16 917). External validation was done using data from Loyola University Medical Center, Chicago, IL, USA between Jan 1, 2007, and Sept 30, 2017 (n=1991 adult patients). The primary outcome was discrimination for alcohol misuse, opioid misuse, or non-opioid drug misuse. Discrimination was assessed by the area under the receiver operating characteristic curve (AUROC). Calibration slope and intercept were measured with the unreliability index. Bias assessments were performed across demographic subgroups. FINDINGS: The model was trained on a cohort that had 3·5% misuse (n=1 921) with any type of substance. 220 (11%) of 1921 patients with substance misuse had more than one type of misuse. The multilabel convolutional neural network classifier had a mean AUROC of 0·97 (95% CI 0·96-0·98) during temporal validation for all types of substance misuse. The model was well calibrated and showed good face validity with model features containing explicit mentions of aberrant drug-taking behaviour. A false-negative rate of 0·18-0·19 and a false-positive rate of 0·03 between non-Hispanic Black and non-Hispanic White groups occurred. In external validation, the AUROCs for alcohol and opioid misuse were 0·88 (95% CI 0·86-0·90) and 0·94 (0·92-0·95), respectively. INTERPRETATION: We developed a novel and accurate approach to leveraging the first 24 h of EHR notes for screening multiple types of substance misuse. FUNDING: National Institute On Drug Abuse, National Institutes of Health.

Association of Overactive Bladder With Hypertension and Blood Pressure Control: The Multi-Ethnic Study of Atherosclerosis (MESA).

BACKGROUND: The sudden urge to urinate, also known as overactive bladder (OAB), may reflect higher sympathetic activity and associate with higher blood pressure (BP). METHODS: This cross-sectional analysis utilized data from sixth follow-up exam (2015-2016) of Multi-Ethnic Study of Atherosclerosis to examine the association of OAB with systolic (SBP) and diastolic blood pressure (DBP) levels, hypertension, and BP control. Information on urinary symptoms was obtained with the International Consultation on Incontinence Questionnaire (ICIQ). Sex-stratified regression models were constructed to examine differences in BP, hypertension prevalence, and BP control while adjusting for demographic factors, comorbidities, and medication use. RESULTS: Among the 1,446 men and 1,628 women who completed the ICIQ (mean age 73.7 years [SD 8.4]), OAB was present in 31.6% of men and 38.9% of women. With no antihypertensive medication use, OAB was not associated with SBP or DBP in both men and women after adjusting for covariates. However, among the 894 men and 981 women on antihypertensive medication, OAB was associated with higher SBP among men (4.04 mm Hg; 95% confidence interval [CI] 1.02, 7.06) but not among women (-0.67 mm Hg; 95% CI -3.79, 2.46) while DBP did not differ by OAB presence in men or women. In addition, OAB was also associated with lower odds of BP control among men (odds ratio [OR] 0.69; 95% CI 0.49, 0.96) but not women (OR 0.96; 95% CI 0.71, 1.30). CONCLUSIONS: Among men, OAB is associated with lower odds of BP control which suggests that OAB may impede hypertension management.

A Mobile App to Support Self-management of Chronic Kidney Disease: Development Study.

BACKGROUND: Chronic kidney disease (CKD) is a common and costly condition that is usually accompanied by multiple comorbidities including type 2 diabetes, hypertension, and obesity. Proper management of CKD can delay or prevent kidney failure and help mitigate cardiovascular disease risk, which increases as kidney function declines. Smart device apps hold potential to enhance patient self-management of chronic conditions including CKD. OBJECTIVE: The objective of this study was to develop a mobile app to facilitate self-management of nondialysis-dependent CKD. METHODS: Our stakeholder team included 4 patients with stage 3-4 nondialysis-dependent CKD; a kidney transplant recipient; a caretaker; CKD care providers (pharmacists, a nurse, primary care physicians, a nephrologist, and a cardiologist); 2 health services and CKD researchers; a researcher in biomedical informatics, nutrition, and obesity; a system developer; and 2 programmers. Focus groups and in-person interviews with the patients and providers were conducted using a focus group and interview guide based on existing literature on CKD self-management and the mobile app quality criteria from the Mobile App Rating Scale. Qualitative analytic methods including the constant comparative method were used to analyze the focus group and interview data. RESULTS: Patients and providers identified and discussed a list of requirements and preferences regarding the content, features, and technical aspects of the mobile app, which are unique for CKD self-management. Requirements and preferences centered along themes of communication between patients and caregivers, partnership in care, self-care activities, adherence to treatment regimens, and self-care self-efficacy. These identified themes informed the features and content of our mobile app. The mobile app user can enter health data including blood pressure, weight, and blood glucose levels. Symptoms and their severity can also be entered, and users are prompted to contact a physician as indicated by the symptom and its severity. Next, mobile app users can select biweekly goals from a set of predetermined goals with the option to enter customized goals. The user can also keep a list of medications and track medication use. Our app includes feedback mechanisms where in-range values for health data are depicted in green and out-of-range values are depicted in red. We ensured that data entered by patients could be downloaded into a user-friendly report, which could be emailed or uploaded to an electronic health record. The mobile app also includes a mechanism that allows either group or individualized video chat meetings with a provider to facilitate either group support, education, or even virtual clinic visits. The CKD app also includes educational material on CKD and its symptoms. CONCLUSIONS: Patients with CKD and CKD care providers believe that a mobile app can enhance CKD self-management by facilitating patient-provider communication and enabling self-care activities including treatment adherence.

Impact of a Procalcitonin-Based Protocol on Antibiotic Exposure and Costs in Critically Ill Patients.

To examine the impact before and after adoption of a procalcitonin-based protocol to guide sepsis management has on antibiotic use, care costs, and outcomes of critically ill patients. DESIGN: Before-after study. SETTING: ICU of an academic tertiary care center. PATIENTS: Adults over 18 years old admitted to the ICU from January 1, 2017, to January 31, 2020. INTERVENTIONS: In this before-after study, we compared the use of medications, outcomes, and overall cost before and after the introduction of a procalcitonin-based protocol for evaluation and treatment of sepsis. MEASUREMENTS AND MAIN RESULTS: The final study cohort consisted of 1,793 patients admitted to the ICU, 776 patients pre-procalcitonin and 1,017 patients in the post-procalcitonin period. Patients were not different in the pre-procalcitonin adoption period compared with post-procalcitonin adoption with regard to gender, age (62.0 vs 62.6), race, or comorbidities. Patients admitted during the post-procalcitonin adoption period were less likely to receive the examined broad-spectrum antibiotics (odds ratio, -0.58; CI, -0.99 to -0.17; p < 0.01) than patients during the pre-procalcitonin adoption period. The odds of inhospital death did not differ after procalcitonin adoption when compared with before (0.87; CI, 0.70-1.09; p = 0.234). Total charges for each admission were significantly less in the post-procalcitonin adoption period $3,834.99 compared with pre-procalcitonin adoption $4,429.47 (p < 0.05). Patients post-procalcitonin adoption incurred $1,127.18 per patient less in total charges (-1,127.18; CI, -2,014.74 to -239.62; p = 0.013) after controlling for relevant factors. CONCLUSIONS: In critically ill patients in a large U.S. tertiary care hospital, the adoption of a procalcitonin-based protocol for evaluation and treatment of sepsis may be associated with decreased antibiotic use and significant cost savings, with no change in mortality.

Age and sex disparities in hypertension control: The multi-ethnic study of atherosclerosis (MESA).

OBJECTIVE: Determine sex differences in hypertension control by age group in a diverse cohort of adults age 45-84 years at baseline followed for an average of 12 years. METHODS: The Multi-Ethnic Study of Atherosclerosis enrolled 3213 men and 3601 women from six communities in the U.S. during years 2000-2002 with follow-up exams completed approximately every two years. At each exam, resting blood pressure (BP) was measured in triplicate, and the last two values were averaged. Hypertension was defined as a BP ≥ 140/90 mmHg and/or use of antihypertensive medications. Hypertension control was defined as a BP < 140/90 mmHg and in separate analyses as < 130/90 mmHg. Generalized linear mixed effects models with a binomial function were used to calculate the odds of hypertension control by age group (45-64,75-74, 75+) at a given exam and by sex, while accounting for the intra-individual correlation, and adjustment for demographics, co-morbidities, smoking, alcohol use, education and site among participants with hypertension at any of the first five exams. RESULTS: At baseline, mean age was 64.1 (9.1 [SD]) years, 48.0% were men, and race/ethnicity was Non-Hispanic white in 34.1%, 10.1% Chinese, 35.1% Non-Hispanic Black and 20.7% Hispanic. Average SBP was lower while average DBP was higher among men vs. women at each exam. Adjusted odds ratios of hypertension control defined as BP < 140/90 mmHg among men vs. women was 0.89 (95% CI 0.67, 1.19) for age 45-64 years, 1.37 (95% CI 1.04, 1.81) for age 65-74 years and 2.08 (95% CI 1.43, 3.02) for age 75+ years. When defined as < 130/80 mmHg, adjusted odds of hypertension control among men vs. women was 0.60 (OR 0.60; 95% CI 0.46, 0.79) at age 45-64 years, 1.01 (OR 1.01; 95% CI 0.77, 1.31) at age 65-74 years and 1.71 (95% CI 1.19, 2.45) at age 75+ years. CONCLUSION: Sex disparities in hypertension control increase with advancing age and are greatest among adults age 75+ years.

Family-based lifestyle interventions: What makes them successful? A systematic literature review.

Nearly one in five young people in the United States has obesity, putting one-fifth of America's children at higher risk of having chronic health conditions and of having obesity into adulthood. Family-based lifestyle interventions (FBLI) have been proposed as effective mechanisms to improve the health through health education and the adoption of healthier behaviors. The aim of this review is to identify and summarize effective intervention activities and lessons learned that organizations can adopt when planning health promotion interventions for families, and to assess the effect of family-based lifestyle interventions on BMI z-score. A systematic review on lifestyle health-promotion interventions for families was conducted following PRISMA (Preferred Reporting Items for Systematic reviews and Meta-analyses) statements. Inclusion criteria were: duration ≥12 weeks and inclusion of family members. Summary data about the assessment tools, intervention strategies, and outcomes in parents and children were extracted and compared for all studies. A meta-analysis of BMI z-score change was conducted. Thirty-four articles were included in this review. Frequent strategies used were delivering education and training on healthy habits and well-being (94%), engaging community in the planning and implementation phases (80.6%) and providing reminders and feedback (47.2%). BMI z-score mean differences were reported in 40 cohorts and included in a meta-analysis, with no statistically significant differences between groups. The findings of this systematic review and meta-analysis indicate that components of a successful family lifestyle intervention program include duration between six to twelve months and delivery in a community setting. Other key factors include constructing a multidisciplinary team, using a mentor/role model approach, and reinforcing messaging with technology.

Racial Differences in Urinary Incontinence Prevalence, Overactive Bladder and Associated Bother among Men: The Multi-Ethnic Study of Atherosclerosis.

PURPOSE: We examined the association of race/ethnicity with urinary incontinence subtypes and overactive bladder, and associated bother in older men. MATERIALS AND METHODS: This cross-sectional analysis used data from the Multi-Ethnic Study of Atherosclerosis, an observational cohort of 4 racial/ethnic groups. At the sixth followup examination (age 60 to 98 years, 2015 to 2016) urinary symptoms were ascertained with the International Consultation on Incontinence Questionnaire. Prevalence ratios of urinary incontinence subtypes and overactive bladder without incontinence by race/ethnicity were calculated while adjusting for demographics, comorbidities and medications. Degree of bother was based on scale of 0 (none) to 10 (most) with bother presence defined as a score of 3 or greater. RESULTS: Among 1,536 men 94% completed the questionnaire. Among completers, race/ethnicity was 40.7% nonHispanic White, 14.3% Chinese, 23.0% nonHispanic Black and 22.1% Hispanic. Urinary incontinence was reported by 11.1% and urgency urinary incontinence accounted for 78.0% of all urinary incontinence. The highest prevalence of urgency urinary incontinence was noted among nonHispanic Black men (13.0%) followed by Hispanic (11.3%), nonHispanic White (6.8%) and Chinese (2.9%) men. NonHispanic Black men showed a higher prevalence of any urinary incontinence (PR 1.62, 95% CI 1.06-2.47) and urgency urinary incontinence (1.63, 95% CI 1.01-2.61) compared to nonHispanic White men after adjustments for covariates. No significant association was noted with other urinary incontinence subtypes by race/ethnicity after adjustment for covariates. More than 70% of urinary incontinence was associated with bother for all racial/ethnic groups. CONCLUSIONS: Urinary incontinence prevalence differs by race/ethnicity but most urinary incontinence is associated with bother regardless of race/ethnicity.

Racial differences in urinary incontinence prevalence and associated bother: the Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: Urinary incontinence is influenced by multiple factors, and the prevalence of urinary incontinence subtypes may differ by race and ethnicity. OBJECTIVE: This study aimed to determine the prevalence of urinary incontinence subtypes and associated bother among women by race and ethnicity. STUDY DESIGN: This cross-sectional analysis used data from the Multi-Ethnic Study of Atherosclerosis, an observational cohort study of 4 racial and ethnic groups recruited from 6 communities from the United States. At the sixth follow-up examination, urinary symptoms were ascertained with the International Consultation on Incontinence Questionnaire. The prevalence rate ratios of stress urinary incontinence, urgency urinary incontinence, and mixed urinary incontinence by race and ethnicity were calculated using generalized linear models for the binomial family while adjusting for covariates. The degree of bother was based on a scale of 0 (none) to 10 (greatest bother), and presence of any bother was defined as a score of ≥3. RESULTS: Among the 1749 female participants in the Multi-Ethnic Study of Atherosclerosis who completed the sixth follow-up examination, 1628 (93%) completed the questionnaire. Women who did not complete the questionnaire were older than those who completed the questionnaire (average age, 82.2 [standard deviation, 9.5] vs 73.7 [standard deviation, 8.4] years; P<.01) and more likely to use diuretics (29.8% vs 18.9%; P<.01). Among those who completed the questionnaire (n=1628), 39.4% were white, 12.5% were Chinese, 27.2% were black, and 20.9% were Hispanic. After adjusting for covariates, stress urinary incontinence (prevalence rate ratio, 0.47; 95% confidence interval, 0.25-0.86) and mixed urinary incontinence (prevalence rate ratio, 0.58; 95% confidence interval, 0.38-0.89) regardless of bother scores were significantly less prevalent among black vs white women, although no significant racial and ethnic differences in stress or mixed urinary incontinence prevalence were noted for Chinese or Hispanic women vs white women. No racial and ethnic differences in the prevalence of urgency urinary incontinence were noted after the adjustment for covariates. Most women with urinary incontinence reported bother scores of ≥3 regardless of race and ethnicity and urinary incontinence subtype, and bother scores did not differ significantly by race and ethnicity. CONCLUSION: Frequency of urinary incontinence subtypes may differ by race and ethnicity, but older women who report urinary incontinence are likely to have associated bother regardless of race and ethnicity.

Socioeconomic Status and Determinants of Pediatric Antibiotic Use.

Introduction. Evidence suggests that early-life antibiotic use can alter gut microbiome, predisposing children to obesity. The obesity epidemic has a disproportionate effect on individuals from lower socioeconomic status (SES). Thus, this study aims to explore the link between SES and antibiotic use. Design. We performed a retrospective cohort study of all babies born at and receiving 2 or more outpatient visits at a large, suburban health system in Illinois (United States) between 2007 and 2017. We collected data on zip code as a proxy for SES and antibiotic use in the first year of life. We also obtained comorbid diagnosis codes, race/ethnicity, gender, and number of inpatient, outpatient, and emergency department visits. Results. A total of 7224 patients met our study criteria. Children from low-poverty areas received a lifetime average of 4.28 prescriptions, while those from high-poverty neighborhoods received an average of 3.31 prescriptions. This was statistically significant in our unadjusted analysis but not after adjusting for covariates. Children from high-poverty areas were significantly more likely to receive more antibiotics at 48 hours, 1 week, and 1 month of life in our unadjusted analysis, but not after adjusting for covariates. In our unadjusted and adjusted analyses, children from high-poverty areas were significantly more likely to have received antibiotics at 1 week of life. Conclusion. The relationship between SES and antibiotic use warrants further investigation to help elucidate possible causes of the disproportionate impact obesity has in low-income communities.