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.

Primary care delivery of behavioral weight loss services for adults with cardiovascular risk factors: development of pragmatic practice components and results of a randomized feasibility trial.

Background: Intensive lifestyle interventions (ILI) improve weight loss and cardiovascular risk factors, but health systems face challenges implementing them. We engaged stakeholders to cocreate and evaluate feasibility of primary care implementation strategies and of a pragmatic randomization procedure to be used for a future effectiveness trial. Methods: The study setting was a single, urban primary care office. Patients with BMI ≥ 27 and ≥ 1 cardiovascular risk factor were sent a single electronic health record (EHR) message between December 2019 and January 2020 offering services to support an initial weight loss goal of about 10 pounds in 10 weeks. All patients who affirmed weight loss interest were pragmatically enrolled in the trial and offered "Basic Lifestyle Services" (BLS), including a scale that transmits weight data to the EHR using cellular networks, a coupon to enroll in lifestyle coaching resources through a partnering fitness organization, and periodic EHR messages encouraging use of these resources. About half (n = 42) of participants were randomized by an automated EHR algorithm to also receive "Customized Lifestyle Services" (CLS), including weekly email messages adapted to individual weight loss progress and telephonic coaching by a nurse for those facing challenges. Interventions and assessments spanned January to July 2020, with interference by the coronavirus pandemic. Weight measures were collected from administrative sources. Qualitative analysis of stakeholder recommendations and patient interviews assessed acceptability, appropriateness, and sustainability of intervention components. Results: Over 6 weeks, 426 patients were sent the EHR invitation message and 80 (18.8%) affirmed interest in the weight loss goal and were included for analysis. EHR data were available to ascertain a 6-month weight value for 77 (96%) patients. Overall, 62% of participants lost weight; 15.0% exhibited weight loss ≥ 5%, with no statistically significant difference between CLS or BLS arms (p = 0.85). CLS assignment increased participation in daily self-weighing (43% versus 21% of patients through 12 weeks) and enrollment in referral-based lifestyle support resources (52% versus 37%). Conclusions: This preliminary study demonstrates feasibility of implementation strategies for primary care offices to offer and coordinate ILI core components, as well as a pragmatic randomization procedure for use in a future randomized comparative trial.

Primary care delivery of behavioral weight loss services for adults with cardiovascular risk factors: development of pragmatic implementation strategies and results of a randomized feasibility trial.

Background: Intensive lifestyle interventions (ILI) improve weight loss and cardiovascular risk factors, but health systems face challenges implementing them. We engaged stakeholders to cocreate and evaluate feasibility of primary care implementation strategies and of a pragmatic randomization procedure to be used for a future effectiveness trial. Methods: The study setting was a single, urban primary care office. Patients with BMI ≥ 27 and ≥ 1 cardiovascular risk factor were sent a single electronic health record (EHR) message between December 2019 and January 2020 offering services to support an initial weight loss goal of about "10 pounds in 10 weeks." All patients who affirmed weight loss interest were pragmatically enrolled in the trial and offered "Basic Lifestyle Services" (BLS), including a scale that transmits weight data to the EHR using cellular networks, a coupon to enroll in lifestyle coaching resources through a partnering fitness organization, and periodic EHR messages encouraging use of these resources. About half (n = 42) of participants were randomized by an automated EHR algorithm to also receive "Customized Lifestyle Services" (CLS), including weekly email messages adapted to individual weight loss progress and telephonic coaching by a nurse for those facing challenges. Interventions and assessments spanned January to July 2020, with interference by the coronavirus pandemic. Weight measures were collected from administrative sources. Qualitative analysis of stakeholder recommendations and patient interviews assessed acceptability, appropriateness, and sustainability of intervention components. Results: Over 6 weeks, 426 patients were sent the EHR invitation message and 80 (18.8%) affirmed interest in the weight loss goal and were included for analysis. EHR data were available to ascertain a 6-month weight value for 77 (96%) patients. Overall, 62% of participants lost weight; 15.0% exhibited weight loss ≥ 5%, with no statistically significant difference between CLS or BLS arms (p = 0.85). CLS assignment increased participation in daily self-weighing (43% versus 21% of patients through 12 weeks) and enrollment in referral-based lifestyle support resources (52% versus 37%). Conclusions: This preliminary study demonstrates feasibility of implementation strategies for primary care offices to offer and coordinate ILI core components, as well as a pragmatic randomization procedure for use in a future randomized comparative trial.

Comparative cardiovascular effects of GLP-1 agonists using real-world data.

AIMS: There is limited research using real-world data to evaluate protective cardiovascular effects of glucagon-like peptide-1 (GLP-1) agonists among adults with type 2 diabetes (T2D) early in treatment. MATERIALS AND METHODS: We conducted a retrospective, active comparator cohort study using 2011-2015 administrative claims data to compare cardiovascular disease (CVD) event rates following initiation of exenatide extended-release (E-ER), exenatide immediate-release (E-IR) or liraglutide in T2D adults who previously received no other antidiabetic medication (ADM) except metformin. The primary outcome was time to first major adverse CVD event (ischaemic heart disease, stroke, congestive heart failure or peripheral arterial disease) after starting GLP-1. Cox proportional hazards regression was used to model the association between index GLP-1 and CVD events, adjusting for baseline patient, prescriber and plan characteristics. Primary analyses included all patients with ≥2 prescription fills for the index GLP-1, regardless of subsequent refill adherence or initiation of other ADM after index date. RESULTS: Compared with liraglutide, neither E-ER nor E-IR was associated with risk of composite major CVD events (hazard ratios [HRs] for E-ER and E-IR: 1.33 [95% C.I. 0.73-2.39] and 1.30 [0.81-2.09]). No associations were observed between event rates for individual CVD components. The HR for an ischaemic event with E-IR relative to liraglutide was 1.85 (95% C.I. 0.97-3.53). Adjusting for time-varying exposure to other ADM and CVD medications after index date produced similar results. CONCLUSIONS: Initiating either immediate or extended-release exenatide rather than liraglutide was not associated with significant differences in CVD risk in this observational real-world study.

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.

Randomized Trial Evaluating Health System Expenditures with Transitional Care Services for Adults with No Usual Source of Care at Discharge.

BACKGROUND: Multidisciplinary transitional care services reduce readmissions for high-risk patients, but it is unclear if health system costs to offer these intensive services are offset by avoidance of higher downstream expenditures. OBJECTIVE: To evaluate net costs for a health system offering transitional care services DESIGN: One-year pragmatic, randomized trial PARTICIPANTS: Adults aged ≥ 18 without a usual source of follow-up care at the time of hospital discharge were enrolled through a high-volume, urban academic medical center in Chicago, IL, USA, from September 2015 through February 2016. INTERVENTIONS: Eligible patients were silently randomized before discharge by an automated electronic health record algorithm allocating them in a 1:3 ratio to receive routine coordination of post-discharge care (RC) versus being offered intensive, multidisciplinary transitional care (TC) services. MAIN MEASUREMENTS: Health system costs were collected from facility administrative systems and transformed to standardized costs using Medicare reference files. Multivariable generalized linear models estimated proportional differences in net costs over one year. KEY RESULTS: Study patients (489 TC; 164 RC) had a mean age of 44 years; 34% were uninsured, 55% had public insurance, and 49% self-identified as Black or Latinx. Over 90 days, cost differences between groups were not statistically significant. Over 180 days, the TC group had 41% lower ED/observation costs (adjusted cost ratio [aCR], 0.59; 95% CI, 0.36-0.97), 50% lower inpatient costs (aCR, 0.50; 95% CI, 0.27-0.95), and 41% lower total healthcare costs (aCR, 0.59; 95% CI, 0.36-0.99) than the RC group. Over 365 days, total cost differences remained of similar magnitude but no longer were statistically significant. CONCLUSIONS: Offering TC services for vulnerable adults at discharge reduced net health system expenditures over 180 days. The promising economic case for multidisciplinary transitional care interventions warrants further research. TRIAL REGISTRATION: National Clinical Trials Registry (NCT03066492).

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.