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Abstract Background Avoidant restrictive food intake disorder (ARFID) is a relatively new feeding and eating disorder added to the DSM-5 in 2013 and ICD-10 in 2018. Few studies have examined hospital utilization for patients with ARFID specifically, and none to date have used large administrative cohorts. We examined inpatient admission volume over time and hospital utilization and 30-day readmissions for patients with ARFID at pediatric hospitals in the United States. Methods Using data from the Pediatric Health Information System (PHIS), we identified inpatient admissions for patients with ARFID (by principal International Classification of Diseases, 10th Revision, ICD-10 diagnosis code) discharged October 2017–June 2022. We examined the change over time in ARFID volume and associations between patient-level factors (e.g., sociodemographic characteristics, co-morbid conditions including anxiety and depressive disorders and malnutrition), hospital ARFID volume, and hospital utilization including length of stay (LOS), costs, use of enteral tube feeding or GI imaging during admission, and 30-day readmissions. Adjusted regression models were used to examine associations between sociodemographic and clinical factors on LOS, costs, and 30-day readmissions. Results Inpatient ARFID volume across n = 44 pediatric hospitals has increased over time (β = 0.36 per month; 95% CI 0.26–0.46; p

Background: Tobacco carcinogens have adverse effects on bone health and are associated with inferior outcomes following orthopedic procedures. The purpose of this study was to assess the impact tobacco use has on readmission and complication rates following shoulder arthroplasty. Methods: The 2016–2018 National Readmissions Database was queried to identify patients who underwent anatomical, reverse, and hemi-shoulder arthroplasty. ICD-10 codes Z72.0 × (tobacco use disorder) and F17.2 × (nicotine dependence) were used to define "tobacco-users." Demographic, 30-/90-day readmission, surgical complication, and medical complication data were collected. Inferential statistics were used to analyze complications for both the cohort as a whole and for each procedure separately (i.e. anatomical, reverse, and hemiarthroplasty). Results: 164,527 patients were identified (92% nontobacco users). Tobacco users necessitated replacement seven years sooner than nonusers (p < 0.01) and were more likely to be male (52% vs. 43%; p < 0.01). Univariate analysis showed that tobacco users had higher rates of readmission, revisions, shoulder complications, and medical complications overall. In the multivariate analysis for the entire cohort, readmission, revision, and complication rates did not differ based on tobacco usage; however, smokers who underwent reverse shoulder arthroplasty in particular were found to have higher 90-day readmission, dislocation, and prosthetic complication rates compared to nonsmokers. Conclusion: Comparatively, tobacco users required surgical correction earlier in life and had higher rates of readmission, revision, and complications in the short term following their shoulder replacement. However, when controlling for tobacco usage as an independent predictor of adverse outcomes, these aforementioned findings were lost for the cohort as a whole. Overall, these findings indicate that shoulder replacement in general is a viable treatment option regardless of patient tobacco usage at short-term follow-up, but this conclusion may vary depending on the replacement type used. [ABSTRACT FROM AUTHOR]

Abstract Objective Unplanned 30‐day readmissions result in increased costs and decreased patient satisfaction. The objective of this study was to compare readmission rates before and after a multidisciplinary quality improvement initiative that focuses on patient and staff education, use of targeted skilled nursing facilities, and appropriate use of patient observation status. Methods This was a quality improvement study of all unplanned admissions to the Head and Neck Oncology service at a tertiary care facility during a 3‐year period between October 2015 and September 2018. In October 2016, when the Head and Neck Oncology service revised its discharge practices for patients undergoing extirpative and/or reconstructive surgery. These changes included enhancing patient education, increasing the use of a skilled nursing facility with directed staff education and patient handoffs by advanced practice nurses, and appropriate utilization of 23‐h observation status for returning patients. The readmission rate from the pre‐intervention era (October 2015 through September 2016) was compared to the readmission rate from the post‐intervention era (October 2016 through September 2018). Secondary outcomes were the rates of 23‐h observation within 30 days of the discharge as well as emergency room visits within 30 days of discharge. Results In this sample of 449 patients, 161 (35.9%) were observed before the change‐in‐practice (before October 2016), and 288 (64.1%) were observed following the change‐in‐practice (after September 2016). On univariable analysis, the risk of readmission declined by approximately 41.4% from the pre‐intervention era, though this conclusion was not statistically significant (P = 0.06). On multivariable analysis, patients at moderate or high risk of death were 2.31 times more likely than those at minor risk of death to readmit within 30 days (P = 0.03). Similarly, those with recurrent or persistent cancer were 3.33 times more likely than those undergoing initial curative surgical management of cancer to readmit within 30 days (P = 0.001). No patient characteristics were associated with a 23‐h observation following discharge (all P > 0.05). Conclusions were similar for emergency room visits following discharge. Conclusions A three‐part quality improvement strategy resulted in a clinically important decrease in 30‐day readmissions, though the decline was not statistically significant. There were no significant changes in 23‐h observation within 30 days of discharge or emergency room visits within 30 days of discharge.

Objectives: Hospital readmissions are associated with poor health outcomes including illness severity and medical complications. The objective of this study was to identify characteristics associated with 30-day post-stroke readmission in an academic urban hospital network., Materials and Methods: We collected data on patients admitted with stroke from 2017 through 2022 who were readmitted within 30 days of discharge and compared them to a subset of non-readmitted stroke patients. Chart review was used to collect demographics, characteristics of the stroke, co-morbid conditions, in-hospital complications, and post-discharge care. Univariate analyses followed by regression analysis were used to assess characteristics associated with post-stroke readmission., Results: We identified 4743 patients with stroke (18 % hemorrhagic, mean age 70.1 (standard deviation (SD) 17.2), 47.3 % female) discharged from the stroke services, of whom 282 (5.9 %) patients were readmitted within 30 days of index hospitalization. Univariate analyses identified 18 significantly different features between admitted and readmitted patients. Regression analysis revealed characteristics associated with readmission included private insurance (odds ratio (OR) 0.4, confidence interval (CI) 0.3-0.6, p < 0.001), comorbid peripheral vascular disease (PVD) (OR 2.7, CI 1.3-5.5, p = 0.009), malignancy (OR 1.6, CI 1.0-2.6, p = 0.04), seizure (OR 3.4, CI 1.4-8.2, p = 0.007), thrombolytic administration (OR 0.4, CI 0.2-0.7, p = 0.003), undergoing thrombectomy (OR 5.4, CI 2.9-10.1, p < 0.001), and higher discharge modified Rankin Scale score (OR 1.2, CI 1.0-1.3, p = 0.047)., Conclusions: Our data demonstrate that thrombectomy, high discharge Rankin score, comorbid malignancy, seizure or PVD, and lack of thrombolytic administration or private insurance predict readmission., Competing Interests: Declaration of competing interest The authors declare no competing interests., (Copyright © 2024. Published by Elsevier Inc.)

Introduction: Evidence from the literature suggests that social determinants of health (SDOH) account for 80% of health outcomes and are associated with hospital readmissions. Readmissions negatively impact the quality of life of patients and increase healthcare costs. The Agency for Healthcare Research and Quality reports that there were 3.8 million 30-day adult hospital readmissions in 2018 with an average readmission cost of $15,000., Methods: A literature search in CINAHL, PubMed, ClinicalKey, Google Scholar, and Medline databases using the keywords "SDOH", "social determinants of health", "healthcare disparities", "patient discharge", "readmission", "interdisciplinary", and "multidisciplinary" yielded 287 articles. After title and abstract screening and a full-text review of 90 articles, five articles were selected for critical appraisal. We used the critical appraisal skills programme (CASP) and Appraisal of Guidelines for Research & Evaluation II (AGREE II) tools for the selected articles' appraisal process., Results: Ten high-quality strong evidence recommendations emerged from the evidence review process. These recommendations were bundled together to create an evidence-based methodology to decrease 30-day readmissions., Conclusion: The findings provide strong evidence of the effectiveness of a bundled discharge approach in reducing hospital readmissions and improving patient outcomes., (© 2024 John Wiley & Sons Ltd.)

Hospital at Home (HaH) is a sustainable, innovative, and next-generation model of healthcare. From the healthcare management point of view, this model provides cost benefits and quality improvement, and from the physicians’ point of view, it helps in providing patient-centered medical care and keeps patients away from hospital admission and its complications. The HaH model was first introduced at John Hopkins in the United States in 1995, which showed very promising results in context to the length of stay, readmission rates, patient satisfaction, and hospital-acquired infections. The HaH model of care provides acute critical care to patients at home and reduces unnecessary hospitalization and related complications. The identified patients for this model of care are elderly patients with chronic conditions and multiple comorbidities. The emergence of technology in today's world and the impact of coronavirus disease 2019 (COVID-19) have increased the demand for the HaH model of care. Although there are many benefits and advantages, the HaH model of care has significant barriers and limitations, such as reimbursement for payment, physician and patient resistance, patient safety, and lack of quantifying research data to support the use of this model. Specific training for the physician, nursing, and other members of the HaH multidisciplinary team is necessary for HaH treatment protocols, along with patient and family caregiver education for those who elect the HaH model of care. HaH is the future of comprehensive healthcare services and helps in achieving the triple aim of access to healthcare, improved quality of care, and reduced cost for healthcare.

Hospital readmissions are major contributors to increased healthcare costs and lower quality of life. Despite advanced stroke care, patients who have experienced a stroke require ongoing follow-up care to prevent complications and hospital readmissions. We evaluated the impact of NP follow-up calls, providing another level of expertise to promptly identify new symptoms and complications, on readmission rates in patients who have experienced stroke. [ABSTRACT FROM AUTHOR]

Background: Discharge to an inpatient care facility (skilled-care or rehabilitation) has been shown to be associated with adverse outcomes following elective total joint arthroplasties. Current evidence with regard to hip fracture surgeries remains limited. Methods: The 2015–2016 ACS-NSQIP database was used to query for patients undergoing total hip arthroplasty, hemiarthroplasty and open reduction internal fixation for hip fractures. A total of 15,655 patients undergoing hip fracture surgery were retrieved from the database. Inpatient facility discharge included discharges to skilled-care facilities and inpatient rehabilitation units. Multi-variate regression analysis was used to assess for differences in 30-day post-discharge outcomes between home-discharge versus inpatient care facility discharge, while adjusting for baseline differences between the 2 study populations. Results: A total of 12,568 (80.3%) patients were discharged to an inpatient care facility. Discharge to an inpatient care facility was associated with higher odds of any complication (OR 2.03 [95% CI, 1.61–2.55]; p < 0.001), wound complications (OR 1.79 [95% CI, 1.10–2.91]; p = 0.019), cardiac complications (OR 4.49 [95% CI, 1.40–14.40]; p = 0.012), respiratory complication (OR 2.29 [95% CI, 1.39–3.77]; p = 0.001), stroke (OR 7.67 [95% CI, 1.05–56.29]; p = 0.045, urinary tract infections (OR 2.30 [95% CI, 1.52–3.48]; p < 0.001), unplanned re-operations (OR 1.37 [95% CI, 1.03–1.82]; p = 0.029) and readmissions (OR 1.38 [95% CI, 1.16–1.63]; p < 0.001) following discharge. Conclusion: Discharge to inpatient care facilities versus home following hip fracture surgery is associated with higher odds of post-discharge complications, re-operations and readmissions. These results stress the importance of careful patient selection prior to discharge to inpatient care facilities to minimise the risk of complications. [ABSTRACT FROM AUTHOR]

Background: An overview of systematic reviews(SRs) and network meta-analysis(NMA) were conducted to evaluate the comparative effectiveness of peri-discharge complex interventions for reducing 30-day readmissions among chronic obstructive pulmonary disease(COPD) patients. Methods: Five databases were searched for SRs of randomized controlled trials(RCTs). An additional search was conducted for updated RCTs from database inception until Jun 2020. Pooled effect of peri-discharge complex interventions was assessed using random-effect pairwise meta-analyses. Comparative effectiveness across different peri-discharge complex interventions was evaluated using NMA. Results: Nine SRs and 11 eligible RCTs(n = 1,422) assessing eight different peri-discharge complex interventions were included. For reducing 30-day all-cause readmissions, pairwise meta-analysis showed no significant difference between peri-discharge complex interventions and usual care, while NMA indicated no significant differences among different peri-discharge complex interventions as well as usual care. For reducing 30-day COPD-related readmissions, peri-discharge complex interventions were significantly more effective than usual care (pooled RR = 0.45, 95% CI:0.24--0.84). Conclusions: Peri-discharge complex interventions may not differ from usual care in reducing 30-day all-cause readmissions among COPD patients but some are more effective for lowering 30-day COPD-related readmission. Thus, complex intervention comprising core components of patient education, self-management, patient-centred discharge instructions, and telephone follow up may be considered for implementation, but further evaluation is warranted. [ABSTRACT FROM AUTHOR]

Background: An overview of systematic reviews(SRs) and network meta-analysis(NMA) were conducted to evaluate the comparative effectiveness of peri-discharge complex interventions for reducing 30-day readmissions among chronic obstructive pulmonary disease(COPD) patients. Methods: Five databases were searched for SRs of randomized controlled trials(RCTs). An additional search was conducted for updated RCTs from database inception until Jun 2020. Pooled effect of peri-discharge complex interventions was assessed using random-effect pairwise meta-analyses. Comparative effectiveness across different peri-discharge complex interventions was evaluated using NMA. Results: Nine SRs and 11 eligible RCTs(n = 1,422) assessing eight different peri-discharge complex interventions were included. For reducing 30-day all-cause readmissions, pairwise meta-analysis showed no significant difference between peri-discharge complex interventions and usual care, while NMA indicated no significant differences among different peri-discharge complex interventions as well as usual care. For reducing 30-day COPD-related readmissions, peri-discharge complex interventions were significantly more effective than usual care (pooled RR = 0.45, 95% CI:0.24–0.84). Conclusions: Peri-discharge complex interventions may not differ from usual care in reducing 30-day all-cause readmissions among COPD patients but some are more effective for lowering 30-day COPD-related readmission. Thus, complex intervention comprising core components of patient education, self-management, patient-centred discharge instructions, and telephone follow up may be considered for implementation, but further evaluation is warranted.

Background Irritable bowel syndrome (IBS) continues to pose significant healthcare challenges due to its broad differential diagnosis and the often extensive yet inconclusive workup. We investigated the rates and characteristics of unplanned 30-day readmissions in adult patients hospitalized with IBS. In addition, we identified factors that predict readmission within 30 days of initial discharge. Methods We analyzed the 2020 Nationwide Readmission Database. Using the International Classification of Diseases, Tenth Revision, Clinical Modification code, we identified hospitalizations in adult patients with IBS. We excluded hospitalizations for minors and planned or elective readmissions. To compare baseline characteristics between readmissions and index hospitalizations, χ2 tests were employed. We used multivariate Cox regression analyses to identify independent predictors of readmissions. Results A total of 5,729 adult hospitalizations with IBS as the primary diagnosis were discharged alive, and 638 (11.1%) readmissions occurred within 30 days. The most common diagnoses associated with readmission were noninfective gastroenteritis and colitis, sepsis, enterocolitis due to Clostridium difficile , and irritable bowel syndrome with or without diarrhea. Patients in readmissions had a mean age of 56.3 years, similar to index hospitalizations (54.5 years, p=0.093). Readmissions had a higher burden of comorbidity (Charlson comorbidity index (CMI) scores ≥3: 26.7%, 170 cases vs. 16.6%, 953 cases; p<0.001) and were mostly Medicare beneficiaries (49.5%, 316% vs. 44.9%, 2,578) compared with index hospitalizations. Readmissions had a longer mean length of stay (LOS) (5.2 vs. 3.6 days, p<0.0001), higher inpatient mortality (0.8%, 5% vs. 0.2%, 11; p=0.032), and higher mean hospital costs ($47,852 vs. $34,592; p<0.0001) compared with index admissions. Secondary diagnoses of ulcerative colitis (adjusted hazard ratio (AHR), 2.82; p<0.0001), interstitial cystitis (AHR, 5.37; p=0.007), peripheral vascular disease (AHR, 1.59; p=0.027), and discharge to short-term hospitals (AHR, 1.03; p<0.0001) were significantly associated with a higher likelihood of readmission within 30 days. Conclusion IBS readmissions have poorer outcomes than index hospitalizations. Patients with an existing history of ulcerative colitis, interstitial cystitis, and peripheral vascular disease and those discharged to short-term hospitals following index hospitalization are more likely to be readmitted within 30 days., Competing Interests: Human subjects: Consent was obtained or waived by all participants in this study. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Ugboke et al.)

The aim of the current study was to assess the impact of hospital readmissions within 30-days of discharge, on long-term postoperative outcomes. All patients who underwent cardiac surgery from 2011 - 2018 were included. Patients who had transcatheter procedures, VAD, and transplant were excluded. Inverse probability of treatment weighting (IPTW) propensity scoring was used for population risk adjustment. Multivariable analysis was performed to identify association with long-term mortality and readmission. The total risk adjusted (propensity scoring with IPTW) patient population consisted of 14,538 patients divided into those who were not readmitted in 30-days (nonreadmitted) (n = 12,627) and patients who were readmitted within 30-days (30-day readmitted) (n = 1911). Following IPTW, all baseline characteristics and postoperative complications were equivalent between cohorts (SMD <0.10). Patients who required intraoperative [OR 1.178 (1.05, 1.32); P = 0.006] and postoperative [1.32 (1.18, 1.48); P < 0.001] blood transfusions were at greater risk for 30-day readmission. Median follow-up period was 4.19 years (2.45 - 6.10). The 30-day readmission cohort had a significantly higher mortality risk during early (6 months) follow-up [HR 2.49 (2.01-3.10); P < 0.001] and late (60 months) follow-up [HR 1.30 (1.16-1.47); P < 0.001]. After risk adjustment, the 30-day readmission cohort was significantly associated with increased mortality over the study follow-up period [HR 1.62 (1.48, 1.78); P < 0.001]. 30-day readmissions were an independent predictor of subsequent long-term hospital readmission [HR 1.61 (1.50, 1.73); P < 0.001]. Patients who require 30-day readmissions following cardiac surgery are at increased risk of long-term mortality and repeat readmissions. Early postoperative hospital readmission may be a marker for worse long-term outcomes in cardiac surgery. [ABSTRACT FROM AUTHOR]

Abstract Background To overcome the limitations of administrative data in adequately adjusting for differences in patients’ risk of readmissions, recent studies have added supplemental data from patient surveys and other sources (e.g., electronic health records). However, judging the adequacy of enhanced risk adjustment for use in assessment of 30-day readmission as a hospital quality indicator is not straightforward. In this paper, we evaluate the adequacy of risk adjustment by comparing the one-year costs of those readmitted within 30 days to those not after excluding the costs of the readmission. Methods In this two-step study, we first used comprehensive administrative and survey data on a nationally representative Medicare cohort of hospitalized patients to compare patients with a medical admission who experienced a 30-day readmission to patients without a readmission in terms of their overall Medicare payments during 12 months following the index discharge. We then examined the extent to which a series of enhanced risk adjustment models incorporating code-based comorbidities, self-reported health status and prior healthcare utilization, reduced the payment differences between the admitted and not readmitted groups. Results Our analytic cohort consisted 4684 index medical hospitalization of which 842 met the 30-day readmission criteria. Those readmitted were more likely to be older, White, sicker and with higher healthcare utilization in the previous year. The unadjusted subsequent one-year Medicare spending among those readmitted ($56,856) was 60% higher than that among the non-readmitted ($35,465). Even with enhanced risk adjustment, and across a variety of sensitivity analyses, one-year Medicare spending remained substantially higher (46.6%, p

Background Long‐term air pollution exposure is a significant risk factor for inpatient hospital admissions in the general population. However, we lack information on whether long‐term air pollution exposure is a risk factor for hospital readmissions, particularly in individuals with elevated readmission rates. Methods and Results We determined the number of readmissions and total hospital visits (outpatient visits+emergency room visits+inpatient admissions) for 20 920 individuals with heart failure. We used quasi‐Poisson regression models to associate annual average fine particulate matter at the date of heart failure diagnosis with the number of hospital visits and 30‐day readmissions. We used inverse probability weights to balance the distribution of confounders and adjust for the competing risk of death. Models were adjusted for age, race, sex, smoking status, urbanicity, year of diagnosis, short‐term fine particulate matter exposure, comorbid disease, and socioeconomic status. A 1‐µg/m3 increase in fine particulate matter was associated with a 9.31% increase (95% CI, 7.85%–10.8%) in total hospital visits, a 4.35% increase (95% CI, 1.12%–7.68%) in inpatient admissions, and a 14.2% increase (95% CI, 8.41%–20.2%) in 30‐day readmissions. Associations were robust to different modeling approaches. Conclusions These results highlight the potential for air pollution to play a role in hospital use, particularly hospital visits and readmissions. Given the elevated frequency of hospitalizations and readmissions among patients with heart failure, these results also represent an important insight into modifiable environmental risk factors that may improve outcomes and reduce hospital use among patients with heart failure.

Objective: To examine predictors for 30-day readmission post-onset of traumatic brain injury (TBI) after initial trauma hospitalization. Design: Retrospective cohort. Participants: In total, 5284 patients with an acute TBI admitted from January 1, 2006, through December 31, 2015. Methods: Demographic and clinical data after initial TBI onset were extracted from the local trauma registry and matched with the Dallas-Fort Worth Hospital Council registry. Multiple logistic regression analysis was used to determine factors significantly associated with 30-day readmission. Top diagnosis codes for 30-day readmission were also described. Results: Patients were primarily male (64.6%), non-Hispanic White (47.6%), uninsured (35.4%), and aged 46.1 ± 23.3 years. In total, 448 patients (8.5%) had a 30-day readmission. Median cumulative charges for each readmitted subject was $34 313. Factors significantly associated with 30-day readmission were falling as the cause of injury, having increased Charlson Comorbidity Index and Injury Severity Score, and discharging to a skilled nursing facility or long-term acute care. Being uninsured was associated with decreased odds of a 30-day readmission. Top diagnosis codes among the readmission visits included cardiac codes (57.7%), fluid and acid-base disorders (54.8%), and hypertension (50.1%). Conclusion: These data highlight those at risk for 30-day readmission across a diverse population of TBI at a large medical center. Interventions such as health literacy education or patient navigation may help mitigate 30-day readmission for at-risk patients. [ABSTRACT FROM AUTHOR]

Background and Purpose: Hospital readmissions impose a substantial burden on the healthcare system. Reducing readmissions after stroke could lead to improved quality of care especially since stroke is associated with a high rate of readmission. The goal of this study is to enhance our understanding of the predictors of 30-day readmission after ischemic stroke and develop models to identify high-risk individuals for targeted interventions.Methods: We used patient-level data from electronic health records (EHR), five machine learning algorithms (random forest, gradient boosting machine, extreme gradient boosting–XGBoost, support vector machine, and logistic regression-LR), data-driven feature selection strategy, and adaptive sampling to develop 15 models of 30-day readmission after ischemic stroke. We further identified important clinical variables.Results: We included 3,184 patients with ischemic stroke (mean age: 71 ± 13.90 years, men: 51.06%). Among the 61 clinical variables included in the model, the National Institutes of Health Stroke Scale score above 24, insert indwelling urinary catheter, hypercoagulable state, and percutaneous gastrostomy had the highest importance score. The Model's AUC (area under the curve) for predicting 30-day readmission was 0.74 (95%CI: 0.64–0.78) with PPV of 0.43 when the XGBoost algorithm was used with ROSE-sampling. The balance between specificity and sensitivity improved through the sampling strategy. The best sensitivity was achieved with LR when optimized with feature selection and ROSE-sampling (AUC: 0.64, sensitivity: 0.53, specificity: 0.69).Conclusions: Machine learning-based models can be designed to predict 30-day readmission after stroke using structured data from EHR. Among the algorithms analyzed, XGBoost with ROSE-sampling had the best performance in terms of AUC while LR with ROSE-sampling and feature selection had the best sensitivity. Clinical variables highly associated with 30-day readmission could be targeted for personalized interventions. Depending on healthcare systems' resources and criteria, models with optimized performance metrics can be implemented to improve outcomes.

Background and Purpose: Hospital readmissions impose a substantial burden on the healthcare system. Reducing readmissions after stroke could lead to improved quality of care especially since stroke is associated with a high rate of readmission. The goal of this study is to enhance our understanding of the predictors of 30-day readmission after ischemic stroke and develop models to identify high-risk individuals for targeted interventions. Methods: We used patient-level data from electronic health records (EHR), five machine learning algorithms (random forest, gradient boosting machine, extreme gradient boosting–XGBoost, support vector machine, and logistic regression-LR), data-driven feature selection strategy, and adaptive sampling to develop 15 models of 30-day readmission after ischemic stroke. We further identified important clinical variables. Results: We included 3,184 patients with ischemic stroke (mean age: 71 ± 13.90 years, men: 51.06%). Among the 61 clinical variables included in the model, the National Institutes of Health Stroke Scale score above 24, insert indwelling urinary catheter, hypercoagulable state, and percutaneous gastrostomy had the highest importance score. The Model's AUC (area under the curve) for predicting 30-day readmission was 0.74 (95%CI: 0.64–0.78) with PPV of 0.43 when the XGBoost algorithm was used with ROSE-sampling. The balance between specificity and sensitivity improved through the sampling strategy. The best sensitivity was achieved with LR when optimized with feature selection and ROSE-sampling (AUC: 0.64, sensitivity: 0.53, specificity: 0.69). Conclusions: Machine learning-based models can be designed to predict 30-day readmission after stroke using structured data from EHR. Among the algorithms analyzed, XGBoost with ROSE-sampling had the best performance in terms of AUC while LR with ROSE-sampling and feature selection had the best sensitivity. Clinical variables highly associated with 30-day readmission could be targeted for personalized interventions. Depending on healthcare systems' resources and criteria, models with optimized performance metrics can be implemented to improve outcomes. [ABSTRACT FROM AUTHOR]

Heart failure readmission rates continue to rise and cause economic burden in the US. Advancements in hemodynamic monitoring offer the ability to monitor intracardiac pressures at home and provide data that are used to optimize outpatient management of heart failure, resulting in reduced hospitalization and mortality associated with heart failure. [ABSTRACT FROM AUTHOR]

Patients with alcohol-related diagnoses at initial hospitalization are at high risk of 30-day readmission. Understanding risk factors for 30-day readmission among these patients may help to identify those who would benefit from efforts to reduce risk of readmission. The Nationwide Readmissions Database was used to estimate 30-day all-cause readmissions among United States patients with an alcohol-related index hospitalization and to evaluate risk factors and costs associated with these readmissions. Included patients were 18 years of age or older at initial hospitalization, had an alcohol-related primary diagnosis (based on ICD-9-CM codes), and were discharged between 2010 and 2015. They were followed for 30 days after initial hospitalization within the calendar year to identify all-cause readmissions. A logistic regression analysis assessed the association between risk factors and 30-day readmission. Average costs of initial admissions and readmissions were estimated. Among 113,931,723 adult index hospitalizations, 1,124,228 had alcohol-related diagnoses. Patients had a mean age of 49 years, 73% were male, and 45% had public insurance coverage. The annual rate of 30-day readmissions among patients with index alcohol-related hospitalizations increased from 119 readmissions per 1000 admissions in 2010 to 140 per 1000 in 2015, while the rate of readmissions among patients with all-cause hospitalizations declined from 103 to 98 per 1000. The regression analysis suggested that age, male sex, comorbid conditions, discharge against medical advice, admission to large and teaching hospitals, and Medicaid vs. non-Medicaid payment were all risk factors for 30-day readmission. Mean costs of initial alcohol-related hospitalizations were greater among those with a 30-day readmission than without a 30-day readmission, and the mean cost of 30-day readmission was even greater. Mitigating the upward trend in rates of readmission following alcohol-related initial hospitalizations may be addressed through better identification of high-risk patients who are admitted with an alcohol-related diagnosis and greater use of existing evidence-based psychosocial and pharmacotherapy treatment methods. [ABSTRACT FROM AUTHOR]

Background/purpose: Edge-to-edge mitral valve repair (MVR) using the MitraClip (Abbott Vascular, Santa Clara, CA), is now labeled for patients with degenerative and functional mitral regurgitation. Because this is a minimally invasive transcatheter procedure, patients are commonly discharged early post-procedure, yet rates and causes of early readmissions are unknown. This study aimed to evaluate underlying causes and trends of 30-day readmissions using the 2016 US Nationwide Readmissions Database (NRD) in patients discharged early after MVR with MitraClip.Methods/materials: We identified all patients who received a MitraClip in 2016 and then identified a cohort of patients who were discharged early (<48 h). Next, any admission within 30 days of the index procedure was identified.Results: Our analysis included 3858 MitraClip patients. The overall 30-day readmission rate was 13.5%. A total of 2341 patients (61%) were discharged early. The readmission rate among the early discharge cohort was 10.1% (233/2314). The readmission rate among the early discharge cohort was 10.1% (233/2314). The major causes of readmission were heart failure (27.5%), infections (15.5%), and postprocedural complications (6.9%).Conclusions: Early discharge post-MitraClip treatment is feasible, safe, and associated with low readmission rates as compared to all MitraClip procedures performed. Special considerations for early discharge should apply to postprocedural complications and patients with heart failure, the most common readmission causes, as these may require longer stays post-procedure.Summary: This study aimed to evaluate underlying causes and trends of 30-day readmissions using the US Nationwide Readmissions Database (NRD) 2016 dataset in patients discharged early after mitral valve repair with MitraClip. The overall 30-day readmission rate during this period was 13.5%; the readmission rate among patients discharged early (<48 h) was 10.1%. Early discharge post-MitraClip treatment is feasible and safe and is associated with low readmission rates. [ABSTRACT FROM AUTHOR]

Background: Total knee arthroplasty (TKA) is the second most common surgery performed in Canada. Understanding and improving quality metrics associated with such high-volume procedures is of utmost importance to maximize value within the healthcare system, which is a balance between cost and quality. Although rates and predictors of hospital readmission and emergency department (ED) visits following TKA have previously been described in privatized healthcare settings, few studies have evaluated trends in length of stay (LOS), hospital readmissions, and ED visits following TKA in a universal single-payer system.Methods: Using data from a provincially held and validated registry, the Institute for Clinical and Evaluative Sciences, we undertook a review of all 205,152 TKAs performed in the province of Ontario, Canada, between 2003 and 2016. We determined temporal trends in utilization, LOS, readmissions, and ED visits and evaluated patient and provider predictors of hospital readmissions and ED visits using multivariate logistic regression modeling. We also grouped and described the most common reasons for readmission and ED visits based on the available International Classification of Diseases, Ninth Revision and Tenth Revision coding information.Results: LOS decreased significantly over the study period (P < .0001), from a median of 5 days (10th percentile 3 days, 90th percentile 8 days) in 2003 to a median of 3 days (10th percentile 2 days, 90th percentile 4 days) in 2016. All-cause 30-day readmissions did not change significantly over the study period, but the rate of ED visits increased significantly over time. Predictors of 30-day readmission following TKA included older age, male gender, lower income quartile, not having a postoperative visit with a primary care physician (PCP), increased comorbidities, longer LOS, urgent or revision surgery, admission to a teaching hospital, and discharge to an inpatient rehabilitation facility. Variables that predicted increased odds of an ED visit included older age, male gender, lower income quartile, not having a postop visit with a PCP, increasing comorbidities, year of surgery, longer LOS, and revision surgery. Admission to a teaching hospital and discharge to an inpatient rehabilitation facility showed a trend toward increased odds of an ED visit.Conclusions: We identified a significant increase in ED visits following TKA in Ontario between 2003 and 2016, with no corresponding increase in hospital readmissions despite a significant temporal trend toward shorter LOS. Predictors of ED visits and readmissions were similar, including male gender, lower income, higher comorbidities, and lacking a PCP visit postoperatively. Increased rates of ED visits following TKA in Ontario represent a quality problem, as they are associated with increased cost to the public healthcare system without any substantial benefit. Interventions aimed at redirecting patients from the ED for minor postoperative concerns should be investigated, as this is likely to improve care by reducing costs, improving efficiency, and enhancing patient experience. [ABSTRACT FROM AUTHOR]

Objectives: The US government implemented the Hospital Readmission Reduction Program on 1 October 2012 to reduce readmission rates through financial penalties to hospitals with excessive readmissions. We conducted a pooled cross-sectional analysis of US hospitals from 2009 to 2015 to determine the association of the Hospital Readmission Reduction Program with 30-day readmissions., Methods: We utilized multivariable linear regression with year and state fixed effects. The model was adjusted for hospital and market characteristics lagged by 1 year. Interaction effects of hospital and market characteristics with the Hospital Readmission Reduction Program indicator variable was also included to assess whether associations of Hospital Readmission Reduction Program with 30-day readmissions differed by these characteristics., Results: In multivariable adjusted analysis, the main effect of the Hospital Readmission Reduction Program was a 3.80 percentage point ( p  < 0.001) decrease in readmission rates in 2013-2015 relative to 2009-2012. Hospitals with lower readmission rates overall included not-for-profit and government hospitals, medium and large hospitals, those in markets with a larger percentage of Hispanic residents, and population 65 years and older. Higher hospital readmission rates were observed among those with higher licensed practical nurse staffing ratio, larger Medicare and Medicaid share, and less competition. Statistically significant interaction effects between hospital/market characteristics and the Hospital Readmission Reduction Program on the outcome of 30-day readmission rates were present. Teaching hospitals, rural hospitals, and hospitals in markets with a higher percentage of residents who were Black experienced larger decreases in readmission rates. Hospitals with larger registered nurse staffing ratios and in markets with higher uninsured rate and percentage of residents with a high school education or greater experienced smaller decreases in readmission rates., Conclusion: Findings of the current study support the effectiveness of the Hospital Readmission Reduction Program but also point to the need to consider the ability of hospitals to respond to penalties and incentives based on their characteristics during policy development., Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2024.)

Objectives: We aimed to evaluate the utility of an Observation Unit (OU) in management of acute exacerbations of chronic obstructive pulmonary disease (AECOPD) and to identify the clinical characteristics of patients readmitted within 30-days for AECOPD following index admission to the OU or inpatient floor from the OU., Methods: This is a retrospective observational study of patients admitted from January to December 2017 for AECOPD to an OU in an urban-based tertiary care hospital. Primary outcome was rate of 30-day readmission after admission for AECOPD for patients discharged from the OU versus inpatient service after failing OU management. Regression analyses were used to define risk factors., Results: 163 OU encounters from 92 unique patients were included. There was a lower readmission rate (33%) for patients converted from OU to inpatient care versus patients readmitted after direct discharge from the OU (44%). Patients with 30-day readmissions were more likely to be undomiciled, with history of congestive heart failure (CHF), pulmonary embolism (PE), or had previous admissions for AECOPD. Patients with >6 annual OU visits for AECOPD had higher rates of substance abuse, psychiatric diagnosis, and prior PE; when these patients were excluded, the 30-day readmission rate decreased to 13.5%., Conclusion: Patients admitted for AECOPD with a history of PE, CHF, prior AECOPD admissions, and socioeconomic deprivation are at higher risk of readmission and should be prioritized for direct inpatient admission. Further prospective studies should be conducted to determine the clinical impact of this approach on readmission rates., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: Schizophrenia and psychotic disorders (SPDs)-related hospitalizations are the second leading cause of 30-day readmission. This study assessed the effect of patient and hospital-level factors on readmission costs following index hospital discharges for SPDs. Methods: 2014 Nationwide Readmissions Database was used to identify SPD-related discharges between January 1, 2014, and November 30, 2014. Multivariable logistic regression was used to estimate patient and hospital-level predictors for readmissions. A two part model was used to estimate the predictors of readmission and associated cost for index hospital discharges with SPDs. Results: A total of 77 625 of 343 579 (22%) index hospital discharges for SPDs resulted in readmissions. The average index and readmission costs were $9285 and $8593, respectively. Being 25 to 44 years old (odds ratio: 1.14), with nonmental comorbidities (odds ratio: 1.52), and admitted in private hospitals (odds ratio: 1.24) had significantly higher odds of readmission rates. Being males ($105), 25 to 44 years of age ($99), urban residents ($312), Medicare enrollees ($713 over privately insured), high-income area residents ($393), having multiple comorbidities ($923), and those admitted in large metropolitan ($680) and government-owned hospitals ($417) had higher costs of readmission. Conclusion: The high SPD-related readmission rates can be reduced by providing integrated behavioral health services for this high-risk cohort. [ABSTRACT FROM AUTHOR]

There are limited contemporary data on readmission after revascularization for chronic mesenteric ischemia (CMI). This study aimed to determine the rates, reasons, predictors, and costs of 30-day readmission after endovascular or surgical revascularization for CMI. Patients with CMI discharged after endovascular or surgical revascularization during 2013 to 2014 were identified from the Nationwide Readmissions Database. The rates, reasons, length of stay, and costs of 30-day all-cause, non-elective, readmission were determined using weighted national estimates. Independent predictors of 30-day readmission were determined using hierarchical logistic regression. Among 4671 patients with CMI who underwent mesenteric revascularization, 19.5% were readmitted within 30 days after discharge at a median time of 10 days. More than 25% of readmissions were for cardiovascular or cerebrovascular conditions, most of which were for peripheral or visceral atherosclerosis and congestive heart failure. Independent predictors of 30-day readmission included non-elective index admission, chronic kidney disease (CKD), and discharge to home healthcare or to a skilled nursing facility. Revascularization modality did not independently predict readmission. In a nationwide, retrospective analysis of patients with CMI undergoing revascularization, approximately one in five were readmitted within 30 days. Predictors were largely non-modifiable and included non-elective index admission, CKD, and discharge disposition. [ABSTRACT FROM AUTHOR]

The purpose was to examine factors associated with transfers and readmissions among Medicare patients initially presenting at rural facilities. Data from the 2013 Medicare Claims file were used to identify fee-for-service patients with a hospital admission (n = 298,783) or an emergency department visit immediately followed by a hospital admission (117,416), for a total of 416,199. Transfers were defined as hospitalization at a different facility within 1 day of a discharge from a prior inpatient or emergency department encounter. For analysis of 30-day readmission, beneficiaries who died before discharge were excluded, for a total of 416,198 observations. Overall, 4.8% of index encounters resulted in a transfer. The transfer rate was higher for patients living in rural areas (9.8%, P < 0.0001), with the highest among residents of small rural areas (10.1%). The transfer rate was higher among those initial encounters in an urban facility (5.3%) than those admitted to a rural facility (2.7%, P < 0.0001). In adjusted analysis, beneficiaries with index encounters in rural or critical access facilities had higher odds of being transferred than those seen at urban facilities. The 30-day readmission rate was lower among patients presenting initially at rural versus urban hospitals (12.1% versus 19.2%). Although transfer status slightly increased the odds of rehospitalization in adjusted analysis, initial presentation at a rural facility was associated with reduced odds. The relatively high rate of transfers from rural hospitals to urban institutions suggests that systems must ensure that their patients' follow-up care meets their needs. [ABSTRACT FROM AUTHOR]

Abstract Background The aim of this study was to determine whether time to surgery after an initial episode of uncomplicated diverticulitis is associated with undergoing an emergent versus an elective resection. Methods In this retrospective, administrative claims database study, we identified patients at least 18 y old in the 2005-2011 California State Inpatient Database who had an initial episode of uncomplicated diverticulitis and then underwent a bowel resection within 2 y. After characterizing the distribution in time to surgery among all patients, we used a multivariable logistic regression to determine whether time to surgery was associated with undergoing an emergent resection. Next, we assessed differences in three outcomes between elective and emergent resections: at least one of eight postoperative complications, extended length of stay (defined as the top decile of hospitalizations), and 30-d inpatient readmissions. Analyses adjusted for time between initial hospitalization and resection, number of inpatient hospitalizations for diverticulitis before the resection, clinical factors, and hospital clustering. Results We identified 4478 patients with an initial episode of uncomplicated diverticulitis followed by a bowel resection within the subsequent 2 y. One-fifth (21.1%) underwent an emergent resection. The median time from the initial episode to resection was 3.8 mo (IQR: 2.3-8.1 mo) for elective resections and 5.1 mo (IQR: 2.3-12.4 mo) for emergent resections. The adjusted odds of undergoing an emergent relative to an elective resection increased by 7% (aOR 1.07 [1.02-1.11]) for every 3 passing mo. Emergent resections were associated with greater adjusted odds of complications (adjusted odds ratio [aOR] 1.75 [95%-CI 1.43-2.15]), extended LOS (aOR 4.52 [3.31-6.17]), and 30-d readmissions (aOR 1.49 [1.09-2.04]). Conclusions Among patients who experienced an initial episode of uncomplicated diverticulitis and eventually underwent a resection, the odds of having an emergent relative to elective surgery increased with every 3 passing mo. These findings may inform the management of uncomplicated diverticulitis for high-risk patients eventually needing surgery. [ABSTRACT FROM AUTHOR]

Hospital readmissions are responsible for considerable health care costs. About 35% of patients with end stage renal disease (ESRD) who are hospitalized are readmitted within 30 days of discharge (United States Renal Data System, 2017). Studies point to the considerable percentage of readmissions that are preventable through effective discharge planning and patient follow-up after discharge (Mistiaen & Poot, 2006). Telephone follow up is a high-quality, low-cost method of providing discharge follow up. This project examined the effectiveness of an evidence-based quality improvement process in providing post-discharge telephone follow up to adult patients on hemodialysis by experienced nephrology nurses through standardized unit workflow and leveraging of the electronic medical record (EMR). Results indicated a lower percentage of admissions from the emergency department (59.9% pre- vs. 55.4% post-intervention) and a lower percentage of 30-day readmissions (28.4% pre- vs. 24.6% post-intervention). [ABSTRACT FROM AUTHOR]

Background: Prior research indicates that hospice and palliative care delivered in outpatient settings are associated with reduced hospital readmissions for cancer patients. However, little is known about how inpatient palliative care affects readmissions in oncology. Objective: To examine associations among inpatient palliative care consultation, hospice use (discharge), and 30-day readmissions among patients with solid tumor cancers. Methods: We identified all live discharges from a large tertiary cancer hospital between 2010 and 2016. Palliative care consult data were abstracted from medical charts and linked to hospital encounter data. Propensity scores were used to match palliative care consult to usual care encounters. Modified Poisson regression models estimated adjusted relative risk (aRR) and 95% confidence intervals (CI) of 30-day readmissions and hospice discharge. We compared predicted probabilities of readmission for palliative care consultation with hospice discharge, without hospice discharge, and usual care. Results: Of 8085 eligible encounters, 753 involved a palliative care consult. The likelihood of having a 30-day readmission did not differ between palliative care consult and usual care groups ( p > 0.05). However, the palliative care consult group was more likely than usual care to have a hospice discharge (aRR = 4.09, 95% CI: 3.07-5.44). The predicted probability of 30-day readmission was lower when palliative care consultation was combined with hospice discharge compared to usual care or consultation with discharge to nonhospice postacute care ( p < 0.001). Conclusions: The effect of inpatient palliative care on readmissions in oncology is largely driven by hospice enrollment. Strategies that combine palliative care consultation with hospice discharge may decrease hospital readmissions and improve cancer care quality. [ABSTRACT FROM AUTHOR]

Objectives: Thirty-day readmissions are common, serious, and costly. Most important, often they are preventable. The purpose of this quality improvement study was to evaluate an interdisciplinary, two-phase intervention to reduce 30-day readmissions among high-risk medical patients. One or two high-risk patients were selected each weekday by a hospitalist using literature-based, locally tested criteria that included common medical illnesses, active psychiatric illness, and recent or recurrent hospital admissions.Methods: Patients admitted to 1 of 5 medical hospitalist teams were selected to receive the intervention; patients admitted to the 4 remaining teams were used for comparison. The two-phase care coordination intervention consisted of a daily interdisciplinary team meeting for the selected high-risk patients and postdischarge interventions that included outpatient care coordination until the patients' first follow-up appointment. The care plan addressed medical/geriatric assessment, social stability, medication reconciliation, nutritional needs, care coordination including future appointments/testing, and community services. Eighty-five patients in the intervention group were compared with 84 patients from the comparison group using propensity score matching. Patient characteristics were similar at baseline.Results: The intervention group demonstrated a reduction in 30-day readmissions by 52% (11 vs 23, P = 0.019). Length of stay was reduced: 5.5 days compared with 7.2 days (P = 0.258).Conclusions: This intervention produced a significant reduction in 30-day readmissions for high-risk patients and a trend for shorter lengths of stay compared with similarly matched patients. Future research trials are needed to verify these results. [ABSTRACT FROM AUTHOR]

Background--This study examines the impact of pulmonary artery pressure-guided heart failure (HF) care on 30-day readmissions in Medicare-eligible patients. Methods and Results--The CardioMicroelectromechanical system (CardioMEMS) Heart Sensor Allows Monitoring of Pressures to Improve Outcomes in New York Heart Association Class III Heart Failure Patients (CHAMPION) Trial included 550 patients implanted with a permanent MEMS-based pressure sensor in the pulmonary artery. Subjects were randomized to a treatment group (uploaded pressures were made available to investigators) or a control group (uploaded pressures were not made available to investigators). This analysis focuses on the 245 Medicare-eligible subjects for whom compliance with daily transmissions was 93% compared with 88% for the overall population. Medications were changed more often in the treatment group using pressure information compared with the control group using symptoms and daily weights alone. During the 515 days follow-up after implant, the overall rate of HF hospitalizations was 49% lower in the treatment group (60 HF hospitalizations, 0.34 events/patient-year) compared with control (117 HF hospitalizations, 0.67 events/patient-year; hazard ratio 0.51, 95% confidence interval 0.37-0.70; P<0.0001). Of the 177 HF hospitalizations, 155 qualified as an index HF hospitalization. All-cause 30-day readmissions were 58% lower in the treatment group (0.07 events/patient-year) compared with 0.18 events/patient-year in the control group (hazard ratio 0.42, 95% confidence interval 0.22-0.80; P=0.0080). Conclusions--Pulmonary artery pressure-guided HF management in Medicare-eligible patients led to a 49% reduction in total HF hospitalizations and a 58% reduction in all-cause 30-day readmissions. [ABSTRACT FROM AUTHOR]

Background Both Clostidium difficile infection (CDI) rates in hospitals and interest in reducing 30-day readmission rates have increased dramatically in the United States. The objective of this study was to characterize the burden of CDI on 30-day hospital readmissions at a tertiary care health-system. Methods A patient discharge database was used to identify patients with a CDI diagnosis (ICD-9 code 008.45) during their stay in 2012. Patients were classified as index admissions (CDI discharges) or 30-day readmissions (CDI readmissions). Readmission rates, length of stay (LOS), and time to readmission were assessed among CDI readmissions. Results Among discharges from the health system (n = 51,353), 615 were diagnosed with CDI (1%). Thirty-day readmissions were more common among CDI discharges (30.1%) than non-CDI discharges (14.4%). Average LOS for CDI readmissions was 5-6 days longer than non-CDI readmissions. Time to readmission was shorter among CDI discharges diagnosed on admission than CDI discharges diagnosed later during their hospital stay (median, 7 days). Conclusion Reductions in hospital-onset CDI and readmission of patients with an index CDI can provide tremendous cost savings to hospitals. This calls for better infection control and antibiotic stewardship measures toward CDI management in the hospital and as patients transition to the next level of care. [ABSTRACT FROM AUTHOR]

Background Telemonitoring has been advocated as a way of decreasing costs and improving outcomes, but no study has looked at true Medicare payments and 30-day readmission rates in a randomized group of well treated patients. Objective The aim of this work was to analyze Medicare claims data to identify effects of home telemonitoring on medical costs, 30-day rehospitalization, mortality, and health-related quality of life. Methods A total of 204 subjects were randomized to usual-care and monitored groups and evaluated with the SF-36 and Minnesota Living With Heart Failure Questionnaire (MLHF). Hospitalizations, Medicare payments, and mortality were also assessed. Monitored subjects transmitted weight, blood pressure, and heart rate, which were monitored by an experienced heart failure nurse practitioner. Results Subjects were followed for 802 ± 430 days; 75 subjects in the usual-care group (316 hospitalizations) and 81 in the monitored group (327 hospitalizations) were hospitalized at least once (P = .51). There were no differences in Medicare payments for inpatient or emergency department visits, and length of stay was not different between groups. There was no difference in 30-day readmissions (P = .627) or mortality (P = .575). Scores for SF-36 and MLHF improved (P < .001) over time, but there were no differences between groups. The percentage of patients readmitted within 30 days was lower with telemonitoring for the 1st year, but this did not persist. Conclusions Telemonitoring did not result in lower total costs, decreased hospitalizations, improved symptoms, or improved mortality. A decrease in 30-day readmission rates for the 1st year did not result in decreased total cost or better outcomes. [ABSTRACT FROM AUTHOR]

In recent years, there has been increased interest in stemming the tide of hospital readmissions in an attempt to improve quality of care. This study presents the Phase I results of a resident-led quality improvement initiative to determine the percentage of and risk factors for same-cause readmissions (SCRs; defined as hospital readmission within 30 days of hospital discharge for treatment of the same condition) to the internal medicine service of a multispecialty teaching hospital in central Texas. Results indicate that patients diagnosed with chronic obstructive pulmonary disease/asthma or anemia may be at increased risk for SCRs. Those patients who are insured by Medicaid and those who require assistance from social services also demonstrated an increased risk for SCRs. This study appears to be the first resident-led initiative in the field to examine 30-day SCRs to an internal medicine service for demographic and clinical risk factors. [ABSTRACT FROM PUBLISHER]

Objectives: This study sought to report percutaneous coronary intervention (PCI) 30-day readmission rates, identify the impact of staged (planned) readmissions on overall readmission rates, determine the significant predictors of unstaged readmissions after PCI, and specify the reasons for readmissions. Background: Hospital readmissions occur frequently and incur substantial costs. PCI are among the most common and costly procedures, and little is known about the nature and extent of readmissions for PCI. Methods: We retrospectively analyzed 30-day readmissions after PCI using the nation''s largest statewide PCI registry to identify 40,093 New York State patients who underwent PCI between January 1, 2007, and November 30, 2007. Demographic variables, pre-procedural risk factors, complications of PCI, and length of stay were considered as potential predictors of readmission, and reasons for readmission were identified from New York''s administrative database using principal diagnoses. Results: A total of 15.6% of all PCI patients were readmitted within 30 days, and 20.6% of these readmissions were staged. Among unstaged readmissions, the most common reasons for readmission were chronic ischemic heart disease (22.5%), chest pain (10.8%), and heart failure (8.2%). A total of 2,015 patients (32.2% of readmissions) underwent a repeat PCI. Thirteen demographic and diagnostic risk factors, as well as longer lengths of stay, were all associated with higher readmission rates. Conclusions: Future efforts to reduce readmissions should be directed toward the recognition of patients most at risk, and the reasons they are readmitted. Staging also should be examined from a cost-effectiveness standpoint as a function of patients'' unique risk factors. [ABSTRACT FROM AUTHOR]

Objectives: The aim of this study was to identify reasons for and predictors of readmission. Background: Short-term readmissions have been identified as an important cause of escalating health care costs, and coronary artery bypass graft (CABG) surgery is 1 of the most expensive procedures. Methods: We retrospectively analyzed 30-day readmissions for 33,936 New York State patients who underwent CABG surgery between January 1, 2005, and November 30, 2007. The main reasons for readmission (principal diagnoses) and the significant independent predictors of readmission were identified. The hospital-level relationship between risk-adjusted mortality rate and risk-adjusted readmission rate was explored to determine the value of readmission rate as a complementary measure of quality. Results: The most common reasons for readmission were post-operative infection (16.9%), heart failure (12.8%), and “other complications of surgical and medical care” (9.8%). Increasing age, female sex, African-American race, higher body mass index, numerous comorbidities, 2 post-operative complications (renal failure and unplanned cardiac reoperation), Medicare or Medicaid status, discharges to a skilled nursing facility, saphenous vein grafts, and longer lengths of stay were all associated with higher rates of readmission. The correlation between the risk-adjusted 30-day readmission rate of hospitals and risk-adjusted in-hospital/30-day mortality rate was 0.32 (p = 0.047). The range across hospitals in the readmission rate was from 8.3% to 21.1%. Conclusions: The 30-day readmission rate for CABG surgery remains high, despite decreases in short-term mortality. Patients with any of the numerous risk factors for readmission should be closely monitored. Hospital readmission rates are not highly correlated with mortality rates and might serve as an independent quality measure. [ABSTRACT FROM AUTHOR]

Objective: Unplanned 30-day readmissions result in increased costs and decreased patient satisfaction. The objective of this study was to compare readmission rates before and after a multidisciplinary quality improvement initiative that focuses on patient and staff education, use of targeted skilled nursing facilities, and appropriate use of patient observation status., Methods: This was a quality improvement study of all unplanned admissions to the Head and Neck Oncology service at a tertiary care facility during a 3-year period between October 2015 and September 2018. In October 2016, when the Head and Neck Oncology service revised its discharge practices for patients undergoing extirpative and/or reconstructive surgery. These changes included enhancing patient education, increasing the use of a skilled nursing facility with directed staff education and patient handoffs by advanced practice nurses, and appropriate utilization of 23-h observation status for returning patients. The readmission rate from the pre-intervention era (October 2015 through September 2016) was compared to the readmission rate from the post-intervention era (October 2016 through September 2018). Secondary outcomes were the rates of 23-h observation within 30 days of the discharge as well as emergency room visits within 30 days of discharge., Results: In this sample of 449 patients, 161 (35.9%) were observed before the change-in-practice (before October 2016), and 288 (64.1%) were observed following the change-in-practice (after September 2016). On univariable analysis, the risk of readmission declined by approximately 41.4% from the pre-intervention era, though this conclusion was not statistically significant ( P  = 0.06). On multivariable analysis, patients at moderate or high risk of death were 2.31 times more likely than those at minor risk of death to readmit within 30 days ( P  = 0.03). Similarly, those with recurrent or persistent cancer were 3.33 times more likely than those undergoing initial curative surgical management of cancer to readmit within 30 days ( P  = 0.001). No patient characteristics were associated with a 23-h observation following discharge (all P  > 0.05). Conclusions were similar for emergency room visits following discharge., Conclusions: A three-part quality improvement strategy resulted in a clinically important decrease in 30-day readmissions, though the decline was not statistically significant. There were no significant changes in 23-h observation within 30 days of discharge or emergency room visits within 30 days of discharge., Competing Interests: The authors declare no conflicts of interest., (© 2022 The Authors. World Journal of Otorhinolaryngology ‐ Head and Neck Surgery published by John Wiley & Sons Ltd on behalf of Chinese Medical Association.)

Hospital at Home (HaH) is a sustainable, innovative, and next-generation model of healthcare. From the healthcare management point of view, this model provides cost benefits and quality improvement, and from the physicians' point of view, it helps in providing patient-centered medical care and keeps patients away from hospital admission and its complications. The HaH model was first introduced at John Hopkins in the United States in 1995, which showed very promising results in context to the length of stay, readmission rates, patient satisfaction, and hospital-acquired infections. The HaH model of care provides acute critical care to patients at home and reduces unnecessary hospitalization and related complications. The identified patients for this model of care are elderly patients with chronic conditions and multiple comorbidities. The emergence of technology in today's world and the impact of coronavirus disease 2019 (COVID-19) have increased the demand for the HaH model of care. Although there are many benefits and advantages, the HaH model of care has significant barriers and limitations, such as reimbursement for payment, physician and patient resistance, patient safety, and lack of quantifying research data to support the use of this model. Specific training for the physician, nursing, and other members of the HaH multidisciplinary team is necessary for HaH treatment protocols, along with patient and family caregiver education for those who elect the HaH model of care. HaH is the future of comprehensive healthcare services and helps in achieving the triple aim of access to healthcare, improved quality of care, and reduced cost for healthcare., Competing Interests: Conflict of Interest: None.