Association Between ICD-10 Codes for Social Needs and Subsequent Emergency and Inpatient Use.

BACKGROUND: International Classification of Diseases, 10th revision Z codes capture social needs related to health care encounters and may identify elevated risk of acute care use. OBJECTIVES: To examine associations between Z code assignment and subsequent acute care use and explore associations between social need category and acute care use. RESEARCH DESIGN: Retrospective cohort study. SUBJECTS: Adults continuously enrolled in a commercial or Medicare Advantage plan for ≥15 months (12-month baseline, 3-48 month follow-up). OUTCOMES: All-cause emergency department (ED) visits and inpatient admissions during study follow-up. RESULTS: There were 352,280 patients with any assigned Z codes and 704,560 sampled controls with no Z codes. Among patients with commercial plans, Z code assignment was associated with a 26% higher rate of ED visits [adjusted incidence rate ratio (aIRR) 1.26, 95% CI: 1.25-1.27] and 42% higher rate of inpatient admissions (aIRR 1.42, 95% CI: 1.39-1.44) during follow-up. Among patients with Medicare Advantage plans, Z code assignment was associated with 42% (aIRR 1.42, 95% CI: 1.40-1.43) and 28% (aIRR 1.28, 95% CI: 1.26-1.30) higher rates of ED visits and inpatient admissions, respectively. Within the Z code group, relative to community/social codes, socioeconomic Z codes were associated with higher rates of inpatient admissions (commercial: aIRR 1.10, 95% CI: 1.06-1.14; Medicare Advantage: aIRR 1.24, 95% CI 1.20-1.27), and environmental Z codes were associated with lower rates of both primary outcomes. CONCLUSIONS: Z code assignment was independently associated with higher subsequent emergency and inpatient utilization. Findings suggest Z codes' potential utility for risk prediction and efforts targeting avoidable utilization.

Association of primary care visit length with outpatient utilization, continuity, and care processes.

BACKGROUND: Little is known about how variation in the scheduled length of primary care visits can impact patients' patterns of health care utilization. OBJECTIVE: To evaluate how the scheduled length of in-person visits with primary care physicians (PCPs) was associated with PCP and patient characteristics, outpatient utilization, and preventive care receipt. METHODS: This retrospective cohort study examined data from a large American academic health system. PCP visit length template was defined as either 15- and 30-min scheduled appointments (i.e. 15/30), or 20- and 40-min scheduled appointments (i.e. 20/40). RESULTS: Of 222 included PCPs, 85 (38.3%) used the 15/30 template and 137 (61.7%) used the 20/40 template. The 15/30 group had higher proportions of male (49.4%, vs. 35.8% in the 20/40 group) and family medicine (37.6% vs. 21.2%) physicians. In adjusted patient-level analysis (N = 238,806), having a 15/30 PCP was associated with 9% more primary care visits (incidence rate ratio [IRR], 1.09; 95% confidence interval [CI], 1.03-1.14), and 8% fewer specialty care visits (IRR, 0.92; 95% CI, 0.86-0.98). PCP visit length template was not associated with significant differences in obstetrics/gynaecology visits, continuity of care, or preventive care receipt. In interaction analyses, having a 15/30 PCP was associated with additional primary care visits among non-Hispanic White patients (IRR, 1.10; 95% CI, 1.04-1.16) but not among non-Hispanic Black patients. CONCLUSION: PCPs' choices about the scheduled length of in-person visits may impact their patients' specialty care use, and have varying impacts across different racial/ethnic groups.

Initiating second-line antidiabetic medication among older adults with type 2 diabetes on Metformin.

BACKGROUND: Antidiabetic medications (ADM), especially sulfonylureas (SFU) and basal insulin (BI), are associated with increased risk of hypoglycemia, which is especially concerning among older adults in poor health. The objective of this study was to investigate prescribing patterns of ADM in older adults according to their health status. METHODS: This case control study analyzed administrative claims between 2013 and 2017 from a large national payer. The study population was derived from a nationwide database of 84,720 U.S. adults aged ≥65, who were enrolled in Medicare Advantage health insurance plans. Participants had type 2 diabetes on metformin monotherapy, and started a second-line ADM during the study period. The exposure was a binary variable for health status, with poor health defined by end-stage medical conditions, dementia, or residence in a long-term nursing facility. The outcome was a variable identifying which second-line ADM class was started, categorized as SFU, BI, or other (i.e. all other ADM classes combined). RESULTS: Over half of participants (54%) received SFU as initial second-line ADM, 14% received BI, and 32% received another ADM. In multivariable models, the odds of filling SFU or BI was higher for participants in poor health than those in good or intermediate health [OR 1.13 (95% CI 1.05-1.21) and OR 2.34 (95% CI 2.14-2.55), respectively]. SFU and BI were also more commonly filled by older adults with poor glycemic control. CONCLUSIONS: Despite clinical consensus to use caution prescribing SFU and BI among older adults in poor health, these medications remain frequently used in this particularly vulnerable population.

Urinary Incontinence in Primary Care-The Gap Between Recommendations and Real World.

IMPORTANCE: Routine screening for urinary incontinence (UI) by primary care providers (PCPs) is recommended. OBJECTIVES: We aimed to describe the rate of incident UI diagnosed at annual PCP visits, the prevalence of UI in a large primary care population, and estimate the rate of screening for UI during primary care preventive and annual wellness visits. Secondary aims were to describe PCP knowledge and behavior as they relate to UI screening and diagnosis. STUDY DESIGN: The electronic health record was used to abstract the number of adult female patients seen by PCPs within a regional health system with a diagnosis of UI before our study period and with a new diagnosis over a 2-year period. Additional new diagnoses and screening practices were found on chart review of an additional 824 representative charts. Primary care providers within the health system were surveyed about their screening practices and knowledge about UI. RESULTS: There were 192,053 women primary care patients seen over 2 years. A total of 5.7% had a UI diagnosis preceding the study period and 3.4% had a UI diagnosis during the study period. A total of 42% of PCPs reported that they screen for UI at least half the time and none were completely satisfied with their ability to screen for UI. Sixteen percent of annual wellness visits had any documentation of screening for UI. CONCLUSION: In a large primary care population, screening for and detection of UI in women was low.

Treatment modification after initiating second-line medication for type 2 diabetes.

OBJECTIVES: To describe changes in antidiabetic medication (ADM) use and characteristics associated with changes in ADM use after initiation of noninsulin second-line therapy. STUDY DESIGN: Retrospective cohort study. METHODS: This study analyzed private health plan claims for adults with type 2 diabetes who initiated 1 of 5 index ADM classes: sulfonylureas, dipeptidyl peptidase 4 inhibitors (DPP4is), sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide-1 receptor agonists (GLP-1 RAs), or thiazolidinediones. Analyses evaluated 3 treatment modification outcomes-discontinuation, switching, and intensification-over 12-month follow-up. RESULTS: Of 82,624 included adults, nearly two-thirds (63.6%) experienced any treatment modification. Discontinuation was the most common modification (38.6%), especially among patients prescribed GLP-1 RAs (50.3%). Switching occurred in 5.2% of patients and intensification in 19.8%. In adjusted analysis, compared with patients prescribed sulfonylureas, discontinuation risk was 7% higher (HR, 1.07; 95% CI, 1.04-1.10) among patients prescribed DPP4is and 28% higher (HR, 1.28; 95% CI, 1.23-1.33) among patients prescribed GLP-1 RAs. Compared with sulfonylureas, all other index ADM classes had higher risks of switching and lower risks of intensification. Younger age group and female sex were both associated with higher risks of all modifications. Compared with index ADM prescription by a family medicine or internal medicine physician, index prescription by an endocrinologist was associated with both lower discontinuation risk and higher intensification risk. CONCLUSIONS: Most patients experienced a treatment modification within 1 year. Results highlight the need for new prescribing approaches and patient supports that can maximize medication adherence and reduce health system waste.

Social Needs Identified by Diagnostic Codes in Privately Insured U.S. Adults.

INTRODUCTION: The relationships between healthcare use and social needs are not fully understood. In 2015, International Classification of Diseases, Tenth Revision coding introduced voluntary Z codes for social needs‒related healthcare encounters. This study evaluated early national patterns of Z codes in privately insured adults. METHODS: In 2021, the authors conducted a case-control analysis of national commercial health payer claims from 2016 to 2019. Among adults with ≥6 months of continuous enrollment and ≥1 medical claims, patients with any assigned Z codes were defined as cases. Controls were selected through stratified random sampling. Z codes were organized under 3 categories: socioeconomic, community/social, and environmental. RESULTS: Of 29.5 million adults, 521,334 patients (1.8%) had any assigned Z codes. Among all the Z codes, 53.5% identified community/social issues, 30.3% identified environmental issues, and 16.2% identified socioeconomic issues. Among socioeconomic Z codes, housing needs were frequently identified, but needs for food, utility bills, and transportation were very rarely identified. In multivariable regression analysis, females had higher odds of Z code assignment than males. Depression and chronic pulmonary disease were the 2 common comorbidities (≥5% prevalence in cases and controls) that were highly associated with Z code assignment. Less common comorbidities strongly associated with Z code assignment were drug abuse, alcohol abuse, psychoses, and AIDS/HIV. CONCLUSIONS: In this national study of privately insured patients, many Z codes identified healthcare encounters caused by social stressors, whereas few identified food- or transportation-related causes. Depression and chronic pulmonary disease were highly associated with Z code assignment.