Readmissions and costs among younger and older adults for targeted conditions during the enactment of the hospital readmission reduction program

Association of Outpatient Follow-Up With 30-Day Readmission After Epilepsy or Seizure Discharge in Medicare Beneficiaries Aged 65 and Older

BACKGROUND AND OBJECTIVES

Older adults are expected to have higher readmission rates after seizure-related hospitalization. We sought to define the 30-day readmission rate for older adults after seizure hospitalization and to examine whether occurrence, timing, or specialization of follow-up with primary or neuro-related care is associated with lower readmission risk.

METHODS

This is a retrospective cohort study using 2016-2019 Medicare claims data, including adults aged older than 65 years hospitalized with a primary diagnosis of seizure/epilepsy. The primary outcome was readmission within 30 days. Exposure of interest was presence or absence of follow-up and specialty of the follow-up provider. Beneficiaries were followed from 90 days before admission to 30 days after discharge. We defined variables a priori based on literature/clinical judgment and used a least absolute shrinkage and selection operator (LASSO) method to determine factors that were contributing to the data's variance for inclusion in the final model.

RESULTS

Of 80,620 beneficiaries with admissions for seizure/epilepsy, 17.72% were readmitted within 30 days. Overall, 20.6% saw only primary care, 2.5% neurology only, 0.3% neurosurgery only, and 0.1% epilepsy only, and 5.4% had a combination of visits. Readmission rates differed by follow-up visit status: 22% readmission rate for those with no follow-up and only 6% with any health care visit. Among those with a visit, the readmission rates by specialty were as follows: 8% for primary care alone, 5% for neurology alone, 16% for neurosurgery alone, 1% for epileptology alone, and 2% for those who had seen a combination of these specialties. In our LASSO-selected multivariable model, outpatient follow-up was associated with lower odds of readmission: early (days 1-15) primary care visit (adjusted odds ratio [aOR] 0.49; 95% CI 0.45-0.52, p < 0.001); early neurology visit (aOR 0.39; 95% CI 0.33-0.46, p < 0.001); and later (days 16-30) neurosurgery visit (aOR 0.42; 95% CI 0.27-0.67, p < 0.001), later neurology visit (aOR 0.16; 95% CI 0.13-0.21, p < 0.001), or later primary care visit (aOR 0.16; 95% CI 0.14-0.17, <0.001), all associated with reduced odds of readmission.

DISCUSSION

We found high rates of readmission in older adults. Outpatient follow-up was associated with reduced odds of readmission. These findings reinforce the importance of discharge planning and suggest that ensuring outpatient follow-up with either primary care or neurology may be an easy intervention to reduce readmissions.

Readmissions and Mortality After "Before Medically Advised" Hospital Discharges Among Medicare Beneficiaries with Opioid Use Disorder

BACKGROUND

"Before medically advised" (BMA) discharges are rising among hospitalized people with opioid use disorder (OUD) and associated with worse outcomes. However, little is known about BMA discharge among the growing share of U.S. Medicare beneficiaries with OUD.

OBJECTIVE

To examine patterns of hospital readmissions and mortality by discharge type among Medicare beneficiaries with OUD.

DESIGN

Retrospective cohort study using 100% national inpatient Medicare data from 2016 to 2019.

PARTICIPANTS

Fee-for-service Medicare beneficiaries age 18 + with an OUD diagnosis during an inpatient hospitalization. Discharge types were classified as BMA, home, skilled nursing facilities (SNFs), or non-SNF institutional settings.

MAIN MEASURES

Using linear probability models adjusted for demographic, clinical, and hospital covariates, we examined 30-day unplanned all-cause readmission and mortality probabilities across discharge types. Secondarily, we assessed time until readmission and mortality, repeated readmissions or BMA discharges, readmission to different hospitals, and primary readmission diagnoses.

KEY RESULTS

Among 339,712 hospitalized Medicare beneficiaries with OUD, 13,997 (4.1%) were discharged BMA. Within 30 days, 25.5% of patients discharged BMA were readmitted and 2.5% died. Compared to other discharges, readmissions after BMA discharge occurred sooner (9.9 vs. 12.8-13.3 days), and were more likely to happen repeatedly (23.4% vs. 13.1-18.3%), end in another BMA discharge (20.9% vs. 0.8-3.5%), and take place at different hospitals (50.8% vs. 29.8-37.6%). Adjusted readmission probabilities for BMA discharges were 7.1 percentage points (pp) higher than home discharges and 6.0-8.9 pp higher than SNF and non-SNF discharges (all p < 0.001). Adjusted mortality probabilities for BMA discharges were 0.7 pp higher than home discharges, but 0.8-1.9 pp lower than SNF and non-SNF discharges (all p < 0.001).

CONCLUSIONS

BMA discharge among Medicare beneficiaries with OUD is associated with fragmented patterns of post-discharge care, and increased readmissions and deaths relative to home discharges. Efforts are needed to address the drivers and consequences of BMA discharge among individuals with OUD in Medicare.

Differences in prescribing patterns of opioid dependence drugs among patients with primary alcohol use problems and opioid use disorders within New York State by social determinant factors, 2005-2018

BACKGROUND

The increase in alcohol use problems and opioid use disorder (OUD) highlights the need for research on effective medication treatments for patients with dual diagnoses.

OBJECTIVES

This study analyzed trends and social disparities in prescribing OUD medications for patients who initially had alcohol use problems and later received their first OUD diagnosis.

METHODS

This study used merged data from the New York State Office of Addiction Services and Supports and the Medicaid to analyze individuals aged 18 years and older who initially had primary alcohol use problems and later had OUD for the first time between 2005 and 2018. It examined the rates of new buprenorphine and naltrexone prescriptions across various demographic and socioeconomic groups.

RESULTS

Among 27,029 clients, the average rate of new buprenorphine was 64.23 per 1000 clients (95% CI 61.30-67.15), with upward trends. The 18-35 age group had the highest buprenorphine utilization (111.48 per 1000 clients) and highest increase rates compared with other age groups. The white non-Hispanic group had the highest rates of buprenorphine (119.23 per 1000 clients) and showed larger increase over time compared with other race or ethnicity groups. Disabled patients showed slower increasing rates of buprenorphine than other groups. Upward trends were observed in naltrexone. All observed differences were statistically significant (P < 0.05).

CONCLUSIONS

Trends showed increased use of OUD medications, with varying rates of buprenorphine utilization across different ages, races, and employment statuses. Despite this, the rates of receiving new buprenorphine remained low, suggesting a need for innovative methods to expand access to treatments.

Elevating care: assessing the impact of telemonitoring on diabetes management at a cutting-edge quaternary hospital

OBJECTIVE

To assess whether post-discharge telemonitoring reduces hospital readmission in patients participating in the diabetes care program.

METHODS

This retrospective cohort study was conducted from June 2021 to December 2022 and included patients who were enrolled in the Diabetes Program under a hyperglycemia treatment protocol and eligible for post-discharge telemonitoring. The variables included age, sex, diagnosis, hospital stay, LACE Score, and readmission rate.

RESULTS

Among 165 patients who underwent telemonitoring, significant differences emerged in hospital readmission rates between those with and without telemonitoring (p=0.015), with a 15.4% lower readmission rate in the telemonitoring group (95%CI= 3.0-27.9%). Subgroup analyses revealed higher readmission rates in men without telemonitoring (15.2% difference; 95%CI= 0.4-30.0%; p=0.045), and in age groups ≤60 and ≥75 years without telemonitoring (24.2% difference; 95%CI= 4.5-43.9%; p=0.016 for ≤60 years; 37.1% difference; 95%CI= 9.9% to 64.2%; p=0.007 for ≥75 years). Additionally, patients with prolonged hospital stays (>7 days) without telemonitoring had higher readmission rates (19.5% difference; 95%CI= 4.5%-34.5%; p=0.011).

CONCLUSION

This study suggests that post-discharge telemonitoring can effectively lower hospital readmission rates in diabetes management programs, potentially offering improved health outcomes, cost savings, and enhanced healthcare delivery to patients.

Rationale and design of healthy at home for COPD: an integrated remote patient monitoring and virtual pulmonary rehabilitation pilot study

Chronic obstructive pulmonary disease (COPD) is a common, costly, and morbid condition. Pulmonary rehabilitation, close monitoring, and early intervention during acute exacerbations of symptoms represent a comprehensive approach to improve outcomes, but the optimal means of delivering these services is uncertain. Logistical, financial, and social barriers to providing healthcare through face-to-face encounters, paired with recent developments in technology, have stimulated interest in exploring alternative models of care. The Healthy at Home study seeks to determine the feasibility of a multimodal, digitally enhanced intervention provided to participants with COPD longitudinally over 6 months. This paper details the recruitment, methods, and analysis plan for the study, which is recruiting 100 participants in its pilot phase. Participants were provided with several integrated services including a smartwatch to track physiological data, a study app to track symptoms and study instruments, access to a mobile integrated health program for acute clinical needs, and a virtual comprehensive pulmonary support service. Participants shared physiologic, demographic, and symptom reports, electronic health records, and claims data with the study team, facilitating a better understanding of their symptoms and potential care needs longitudinally. The Healthy at Home study seeks to develop a comprehensive digital phenotype of COPD by tracking and responding to multiple indices of disease behavior and facilitating early and nuanced responses to changes in participants' health status. This study is registered at Clinicaltrials.gov (NCT06000696).

Rationale and Design of Healthy at Home for COPD: an Integrated Remote Patient Monitoring and Virtual Pulmonary Rehabilitation Pilot Study

Chronic Obstructive Pulmonary Disease (COPD) is a common, costly, and morbid condition. Pulmonary rehabilitation, close monitoring, and early intervention during acute exacerbations of symptoms represent a comprehensive approach to improve outcomes, but the optimal means of delivering these services is uncertain. Logistical, financial, and social barriers to providing healthcare through face-to-face encounters, paired with recent developments in technology, have stimulated interest in exploring alternative models of care. The Healthy at Home study seeks to determine the feasibility of a multimodal, digitally enhanced intervention provided to participants with COPD longitudinally over six months. This paper details the recruitment, methods, and analysis plan for the study, which is recruiting 100 participants in its pilot phase. Participants were provided with several integrated services including a smartwatch to track physiological data, a study app to track symptoms and study instruments, access to a mobile integrated health program for acute clinical needs, and a virtual comprehensive pulmonary support service. Participants shared physiologic, demographic, and symptom reports, electronic health records, and claims data with the study team, facilitating a better understanding of their symptoms and potential care needs longitudinally. The Healthy at Home study seeks to develop a comprehensive digital phenotype of COPD by tracking and responding to multiple indices of disease behavior and facilitating early and nuanced responses to changes in participants' health status. This study is registered at Clinicaltrials.gov (NCT06000696).

Impact of Care Fragmentation after Major Lower Extremity Amputation

BACKGROUND

Care fragmentation (CF) is a known risk factor for unplanned readmission, morbidity, and mortality after surgery. The goal of this study was to evaluate the impact of CF on outcomes of major lower extremity amputation for peripheral vascular disease.

METHODS

Health-care Cost and Utilization Project Database for NY (2016) and MD/FL (2016-2017) were queried using International Classification of Diseases 10thedition to identify patients who underwent above the knee-, through the knee-, and below the knee-amputation for peripheral vascular disease. Patients with CF were identified as those with admissions to ≥2 hospitals during the study period. We compared the postamputation outcomes of mortality, readmission rate, length of stay (LOS) and hospital charges.

RESULTS

We identified a total of 13,749 encounters of 2,742 patients who underwent major lower extremity amputations. There were 1,624 (59.2%) patients with CF. Patients with CF were younger (68.4 years old vs. 69.7 years old, P = 0.005), with higher Charlson Comorbidity Indices (4.4 vs. 4.1, P < 0.001), and required more hospital resources on index admission ($113,699 vs. $91,854, P < 0.001). These patients were prevalent for higher 30-, and 90-day readmission rates (34.7% vs. 24.5%, P < 0.001 and 54.7% vs. 42.0%, P < 0.001, respectively). On their first postamputation readmission, LOS (16.3 days vs. 14.7 days, P = 0.004) and hospital charge ($48,964 vs. $44,388, P = 0.002) were significantly higher. Multivariate regression analysis demonstrated that the CF was an independent predictor for 30-day (hazard ratio (HR) 1.65, 95% confidence interval (CI) 1.39-1.96, P < 0.001) and 90-day (HR 1.66, 95% CI 1.42-1.95, P < 0.001) readmission after the major lower extremity amputation, but not for mortality (HR 0.83, 95% CI 0.56-1.23, P = 0.36).

CONCLUSIONS

CF after major lower extremity amputation is associated with higher readmission rate, LOS, and hospital charge. Collaboration of care providers to maintain continuity of care for peripheral vascular disease patients may enhance quality of care and reduce health care cost.

Clinical and economic effectiveness of a pharmacy and primary care collaborative transition of care program

BACKGROUND

Primary care pharmacists are uniquely positioned to improve care quality by intervening within care transitions in the postdischarge period. However, additional evidence is required to demonstrate that pharmacist-led interventions can reduce health care utilization in a cost-effective manner. The study's objective was to evaluate the clinical and economic effectiveness of a pharmacy-led transition of care (TOC) program within a primary care setting.

METHODS

This cluster randomized trial was conducted between 2019 and 2021 and included three primary care practices. Eligible patients were ≥18 years of age and at high risk of readmission. The multifaceted pharmacy intervention included medication reconciliation, comprehensive medication review, and patient and provider follow-up. The primary composite endpoint included hospital readmissions and emergency department (ED) visits within 30 days of discharge. Differences in outcomes were modeled using a generalized estimated equations approach and outcomes were assumed to be distributed as a Poisson random variable. A cost-benefit analysis was embedded within the study and estimated economic outcomes from a provider group/health system perspective. Cost measures included: net benefit, benefit to cost ratio (BCR), and return on investment (ROI).

RESULTS

Of 300 eligible patients, 36 were in the intervention group and 264 in the control group. The intervention significantly reduced the primary composite outcome of all-cause readmissions and ED visits within 30 days (adjusted incidence rate ratio [aIRR], 0.54; 95% CI, 0.44-0.66; P < 0.001). There were significant reductions in both 30-day all-cause readmissions (aIRR, 0.64; 95% CI, 0.60-0.67; P < 0.001) and ED visits (aIRR, 0.25; 95% CI, 0.20, 0.31; P < 0.001) between groups. The net benefit of the intervention was $9,078, with a BCR of 2.11 and a ROI of 111%. Sensitivity analyses were robust to changes in economic inputs.

CONCLUSION

This care transition program had positive clinical and economic benefits, providing further support for the essential role pharmacists demonstrate in providing TOC services.

Patient and social factors related to nebulizer use in COPD patients at the transition of care: a qualitative study

BACKGROUND

Transition from hospital to home is a vulnerable period for patients with COPD exacerbations, with a high risk for readmission and mortality. Twenty percent of patients with an initial hospitalization for a COPD exacerbation are readmitted to a hospital within 30 days, costing the health care system over $15 billion annually. While nebulizer therapy directed at some high-risk COPD patients may improve the transition from hospital to home, patient and social factors are likely to contribute to difficulties with their use. Current literature describing the COPD patient's experience with utilizing nebulizer therapy, particularly during care transitions, is limited. Therefore, the objective of this study was to explore underlying COPD patient and social factors contributing to practical difficulties with nebulizer use at the care transition from hospital to home.

METHODS

This was a qualitative study conducted between September 2020 and June 2022. Patients were included if they were ≥ 40 years old, had a current diagnosis of COPD, had an inpatient admission at a hospital, and were discharged directly to home with nebulizer therapy. Semi-structured, one-on-one interviews with patients were conducted covering a broad range of patient and social factors and their relationships with nebulizer use and readmission. Interviews were recorded and transcribed verbatim. A thematic analysis was performed using a mixed inductive and deductive approach.

RESULTS

Twenty-one interviews were conducted, and subjects had a mean age of 64 ± 8.4 years, 62% were female, and 76% were White. The predominant interview themes were health care system interactions and medication management. The interviews highlighted that discharge counseling methods and depth of counseling from hospitals were inconsistent and were not always patient-friendly. They also suggested that patients could appropriately identify, set up, and utilize their nebulizer treatment without difficulties, but additional patient education is required for nebulizer clean up and maintenance.

CONCLUSIONS

Our interviews suggest that there is room for improvement within the health care system for providing consistent, effective discharge counseling. Also, COPD patients discharged from a hospital on nebulizer therapy can access and understand their treatment but require additional education for nebulizer clean up and maintenance.

A cohort of patients in New York State with an alcohol use disorder and subsequent treatment information - A merging of two administrative data sources

OBJECTIVE

Despite the high prevalence of alcohol use disorder (AUD) in the United States, limited research is focused on the associations among AUD, pain, and opioids/benzodiazepine use. In addition, little is known regarding individuals with a history of AUD and their potential risk for pain diagnoses, pain prescriptions, and subsequent misuse. Moreover, the potential risk of pain diagnoses, prescriptions, and subsequent misuse among individuals with a history of AUD is not well known. The objective was to develop a tailored dataset by linking data from 2 New York State (NYS) administrative databases to investigate a series of hypotheses related to AUD and painful medical disorders.

METHODS

Data from the NYS Office of Addiction Services and Supports (OASAS) Client Data System (CDS) and Medicaid claims data from the NYS Department of Health Medicaid Data Warehouse (MDW) were merged using a stepwise deterministic method. Multiple patient-level identifier combinations were applied to create linkage rules. We included patients aged 18 and older from the OASAS CDS who initially entered treatment with a primary substance use of alcohol and no use of opioids between January 1, 2003, and September 23, 2019. This cohort was then linked to corresponding Medicaid claims.

RESULTS

A total of 177,685 individuals with a primary AUD problem and no opioid use history were included in the dataset. Of these, 37,346 (21.0%) patients had an OUD diagnosis, and 3,365 (1.9%) patients experienced an opioid overdose. There were 121,865 (68.6%) patients found to have a pain condition.

CONCLUSION

The integrated database allows researchers to examine the associations among AUD, pain, and opioids/benzodiazepine use, and propose hypotheses to improve outcomes for at-risk patients. The findings of this study can contribute to the development of a prognostic prediction model and the analysis of longitudinal outcomes to improve the care of patients with AUD.

The Effectiveness of Family Medicine-Driven Interprofessional Collaboration on the Readmission Rate of Older Patients

Interprofessional collaboration (IPC) for older patient care among family physicians, dentists, therapists, nutritionists, nurses, and pharmacists in the rural hospital care of older patients could improve the hospital readmission rate. However, there is a lack of interventional studies on IPC for improving the readmission rate among Japanese older patients in rural hospitals. This quasi-experimental study was performed on patients >65 years who were discharged from a rural community hospital. The intervention was IPC implementation with effective information sharing and comprehensive management of older patients’ conditions for effective discharge and readmission prevention; implementation started on 1 April 2021. The study lasted 2 years, from 1 April 2021 to 31 March 2022 for the intervention group and from 1 April 2020 to 31 March 2021 for the comparison group. The average participant age was 79.86 (standard deviation = 15.38) years and the proportion of men was 45.0%. The Cox hazard model revealed that IPC intervention could reduce the readmission rate after adjustment for sex, serum albumin, polypharmacy, dependent condition, and Charlson Comorbidity Index score (hazard ratio = 0.66, 95% confidence interval: 0.54−0.81). Rural IPC intervention can improve inpatient care for older patients and decrease readmission rates. Thus, for effective rural IPC interventions, family physicians in hospitals should proactively collaborate with various medical professionals to improve inpatient health outcomes.

Socio-demographic and -economic factors associated with 30-day readmission for conditions targeted by the hospital readmissions reduction program: a population-based study

Background

Early hospital readmissions remain common in patients with conditions targeted by the CMS Hospital Readmission Reduction Program (HRRP). There is still no consensus on whether readmission measures should be adjusted based on social factors, and there are few population studies within the U.S. examining how social characteristics influence readmissions for HRRP-targeted conditions. The objective of this study was to determine if specific socio-demographic and -economic factors are associated with 30-day readmissions in HRRP-targeted conditions: acute exacerbation of chronic obstructive pulmonary disease, pneumonia, acute myocardial infarction, and heart failure.

Methods

The Nationwide Readmissions Database was used to identify patients admitted with HRRP-targeted conditions between January 1, 2010 and September 30, 2015. Stroke was included as a control condition because it is not included in the HRRP. Multivariate models were used to assess the relationship between three social and economic characteristics (gender, urban/rural hospital designation, and estimated median household income within the patient’s zip code) and 30-day readmission rates using a hierarchical two-level logistic model. Age-adjusted models were used to assess relationship differences between Medicare vs. non-Medicare populations.

Results

There were 19,253,997 weighted index hospital admissions for all diagnoses and 3,613,488 30-day readmissions between 2010 and 2015. Patients in the lowest income quartile (≤$37,999) had an increased odds of 30-day readmission across all conditions (P < 0.0001). Female gender and rural hospital designation were associated with a decreased odds of 30-day readmission for most targeted conditions (P < 0.05). Similar findings were also seen in patients ≥65 years old.

Conclusions

Socio-demographic and -economic factors are associated with 30-day readmission rates and should be incorporated into tools or interventions to improve discharge planning and mitigate against readmission.

Early (0-7 day) and late (8-30 day) readmission predictors in acute coronary syndrome, atrial fibrillation, and congestive heart failure patients

OBJECTIVES

Thirty-day readmission following hospitalization for acute coronary syndrome (ACS), atrial fibrillation (AF), or congestive heart failure (CHF) is common, and many occur within one week of discharge. Using a cohort of patients hospitalized for ACS, AF, or CHF, we sought to identify predictors of 30-day, early (0-7 day), and late (8-30 day) all-cause readmission.

METHODS

We identified 3531 hospitalizations for ACS, AF, or CHF at a large academic medical center between 2008 and 2018. Multivariable logistic regression models were created to identify predictors of 30-day, early, and late unplanned, all-cause readmission, adjusting for discharge diagnosis and other demographics and comorbidities.

RESULTS

Of 3531 patients hospitalized for ACS, AF, or CHF, 700 (19.8%) were readmitted within 30 days, and 205 (29.3%) readmissions were early. Of all 30-day readmissions, 34.8% of ACS, 16.8% of AF, and 26.0% of the CHF cohorts' readmissions occurred early. Higher hemoglobin was associated with lower 30-day readmission [adjusted (adj) OR 0.92, 95% CI 0.88-0.97] while patients requiring intensive care unit (ICU) admission were more likely readmitted within 30 days (adj OR 1.31, 95% CI 1.03-1.67). Among patients with a 30-day readmission, females (adj OR 1.73, 95% CI 1.22, 2.47) and patients requiring ICU admission (adj OR 2.03, 95% CI 1.27, 3.26) were more likely readmitted early than late. Readmission predictors did not vary substantively by discharge diagnosis.

CONCLUSION

Patients admitted to the ICU were more likely readmitted in the early and 30-day periods. Other predictors varied between readmission groups. Since outpatient follow-up often occurs beyond 1 week of discharge, early readmission predictors can help healthcare providers identify patients who may benefit from particular post-discharge services.