Decrease In Readmissions Research Articles

Patient outcomes after implementation of transitional care protocols in elective neurosurgery: a systematic review and meta-analysis.

30-day readmissions are a significant burden on the healthcare system. Postoperative transitional care protocols (TCPs) for safe and efficient discharge planning are being more widely adopted to reduce readmission rates. Currently, little evidence exists to justify the utility of TCPs for improving patient outcomes in elective neurosurgery. The objective of this systematic review was to determine the extent to which TCPs reduce adverse outcomes in patients undergoing elective neurosurgical procedures. A systematic review and meta-analysis was conducted after PROSPERO registration. Pubmed, Embase, and Cochrane review databases were searched through February 1, 2024. Keywords included: "transitional care AND neurosurgery", "Discharge planning AND neurosurgery". Articles were included if they assessed postoperative TCPs in an adult population undergoing elective neurosurgeries. Exclusion criteria were pediatric patients, implementation of Enhanced Recovery After Surgery (ERAS) protocols, or non-elective neurosurgical procedures. The primary outcome was readmission rates after implementation of TCPs. 16 articles were included in this review. 2 articles found that patients treated with TCPs had significantly higher chances of home discharge. 7 articles found a significant association between implementation of TCP and reduced length of stay and intensive care unit stay. 3 articles reported an increase in patient satisfaction after implementation of TCPs. 3 found that TCP led to a significant decrease in readmissions. After meta-analysis, TCPs were associated with significantly decreased readmission rates (OR: 0.68, p < 0.0001), length of stay (mean difference: -0.57, p < 0.00001), and emergency department visits (OR: 0.33, p < 0.0001). This systematic review and meta-analysis found that an overwhelming majority of the available literature supports the effectiveness of discharge planning on at least one measure of patient outcomes. However, the extent to which each facet of the TCP affects outcomes in elective neurosurgery remains unclear. Future efforts should be made to compare the effectiveness of different TCPs.

The effectiveness of the mental health social worker-led multiprofessional program in preventing long-term hospitalization and readmission in acute psychiatric inpatients in Japan: A retrospective analysis.

The large number of new long-stay (NLS) patients and high readmission rates in psychiatric hospitals are longstanding concerns in Japan despite reforms to encourage multidisciplinary support of such patients. Staffing shortages of specialists, especially mental health social workers (MHSWs), may be one of the reasons for these problems to remain unsolved. The authors examined the effectiveness of the MHSW-centered multidisciplinary care model in preventing NLSs and rehospitalization in terms of both patient dynamics and cost by retrospective comparison of before and after program implementation. After our program was introduced, NLS was almost completely prevented. In addition, a significant decrease in readmissions of involuntarily admitted patients was also observed. On the other hand, the resulting decrease in treatment costs and hospital revenues was mismatched by an increase in personnel costs. While MHSW-centered multidisciplinary care is effective for the community integration of patients, there are cost challenges. State policy changes are needed to resolve staffing problems, along with the introduction of appropriate indicators of community integration.

Effect of Discharge Readiness on 30-Day Readmissions Among Older Adults Living With Multiple Chronic Conditions.

Despite decreases in readmissions among Medicare beneficiaries after the implementation of the Hospital Readmissions Reduction Program, older adults living with multiple chronic conditions (MCCs) continue to experience higher readmission rates. Few strategies leverage nursing to identify patients at risk for readmission. Examine the effect of nurse assessments of discharge readiness on 30-day readmissions. Cross-sectional study linking 3 secondary data sources (ie, nurse survey, hospital survey, and Medicare claims data) representing 424 hospitals. A total of 188,806 Medicare surgical patients with MCCs. Discharge readiness was derived from the 2016 RN4CAST-US survey. Medicare claims data was used to determine the MCC count. The outcome was 30-day readmissions across the MCC count. The average discharge readiness score was 0.45 (range=0-0.86) indicating that, in the average hospital, <50% of nurses were confident their patient or caregiver could manage their care after discharge. Nearly 8% of patients were readmitted within 30 days of discharge; the highest rates of readmissions were among individuals with ≥5 MCCs (4293, 13.50%). For each 10% increase in the proportion of nurses in a hospital who were confident in their patients' discharge readiness, the odds of 30-day readmission decreased by 2% (95% CI: 0.96-1.00; P =0.028) for patients with 2-4 MCCs and 3% (95% CI: 0.94-0.99; P =0.015) for patients with ≥5 MCCs, relative to patients with 0-1 MCCs. Nurse assessments of discharge readiness may be a useful signal for hospitals to reduce readmissions and examine factors interfering with discharge processes.

Maximizing Readmission Reduction in Colon Cancer Patients

IntroductionMultiple studies have identified risk factors for readmission in colon cancer patients. We need to determine which risk factors, when modified, produce the greatest decrease in readmission for patients so that limited resources can be used most effectively by implementing targeted evidence-based performance improvements. We determined the potential impact of various modifiable risk factors on reducing 30-d readmission in colon cancer patients. MethodsWe used a cohort design with the 2012–2020 American College of Surgeons’ National Surgical Quality Improvement Program data to track colon cancer patients for 30 d following surgery. Colon cancer patients who received colectomies and were discharged alive were included. Readmission (to the same or another hospital) for any reason within 30 d of the resection was the outcome measure. Modifiable risk factors were the use of minimally invasive surgery (MIS) versus open colectomy, mechanical bowel preparation, preoperative antibiotic use, functional status, smoking, complications (deep vein thrombosis, pulmonary embolism, myocardial infarction, stroke, infections, anastomotic leakage, prolonged postoperative ileus, extensive blood loss, and sepsis), serum albumin, and hematocrit. Results111,691 patients with colon cancer were included in the analysis. About half of the patients were male, most were aged 75 or older, and were discharged home. Overall, 11,138 patients (10.0%) were readmitted within 30 d of surgery. In adjusted analysis, the reduction in readmission would be largest by preventing both prolonged ileus and by switching open colectomies to MIS (28.0% relative reduction) followed by preventing anastomotic leaks (6.2% relative reduction). Improving other modifiable risk factors would have a more limited impact. ConclusionsThe focus of readmission reduction should be on preventing prolonged ileus, increasing the use of MIS, and preventing anastomotic leaks.

Readmission Reduction for Hyperbilirubinemia in Infants ≥ 35 Weeks Estimated Gestational Age Using a Standardized Protocol.

Most newborns experience hyperbilirubinemia. Monitoring and treatment must be balanced with the risk of unintended harm, including readmission to the birth hospital. From January 2019 to April 2021, the average rate of inborn readmission for all causes was 2.09% at the study hospital; hyperbilirubinemia accounted for 91% of these readmissions. The aim of this project was to decrease readmission rate for hyperbilirubinemia by 60% within eight months of protocol implementation. The Lean system of quality improvement was used to assess root causes and implement countermeasures. A hyperbilirubinemia protocol was developed, and phototherapy equipment was upgraded. Monthly readmission rates were the main outcome measure. Process measures included hour of life for initial transcutaneous bilirubin measurement. Balance measures included number of serum bilirubin labs obtained per 100 infants, percentage treated with phototherapy, mean length of phototherapy treatment, and length of hospital stay. Statistical process control charts were used to measure changes in quality over time. Baseline data showed a monthly readmission rate for hyperbilirubinemia of 1.9%. Following countermeasure implementation, there was a clinically significant downward shift in the monthly readmission rate to 0.64%, representing a 66% decrease from baseline. Implementation of the project protocol was associated with a clinically significant decrease in readmissions for hyperbilirubinemia with no concurrent clinically significant changes in the number of labs drawn, number of infants started on phototherapy, or average length of hospital stay. For military treatment facilities or institutions with similar staffing models, this protocol may offer a model for improvement.

Benefits of an Early Mobility Program for Hospitalized Patients With Cancer.

Patients with cancer are often hospitalized with complications from cancer and cancer treatment. Many experience a decline in physical functioning, including loss of mobility, which likely contributes to increased length of stay (LOS) and increased readmissions. We aimed to determine whether a mobility program would improve quality of care and decrease health care utilization. We implemented a mobility aide program on an oncology unit in a large academic medical center for all patients without bedrest orders between October 1, 2018, and February 28, 2021. The program consisted of nursing evaluation using the Activity Measure for Post-Acute Care (AMPAC), an ordinal scale ranging from bed rest to ambulating ≥ 250 feet, to quantify mobility. Plan of care was determined in a multidisciplinary manner with physical therapy (PT), nursing, and a mobility aide, who is a medical assistant with enhanced rehabilitation training. Patients were then mobilized two times per day 7 days a week. Using descriptive statistics and mixed effects logistic regression, we evaluated the programs impact on LOS, readmissions, and changes in mobility during this time period compared with the 6-month interval before implementation. A total of 1,496 hospitalized patients were identified. The odds of hospital readmission within 30 days of discharge was significantly less for those who received the intervention (OR, 0.53; 95% CI, 0.37 to 0.78; P = .001). The odds ratio (OR) of having a final AMPAC score at or above the median was significantly higher for those who received the intervention (OR, 1.60; 95% CI, 1.04 to 2.45; P < .05). There was no significant difference in LOS. Use of this mobility program resulted in a significant decrease in readmissions and maintained or improved patients' mobility. This demonstrates that non-PT professionals can effectively mobilize hospitalized patients with cancer, thereby decreasing the burden on PT and nursing resources. Future work will evaluate the sustainability of the program and evaluate association with health care costs.

TIP-APEX DISTANCE AS A LONG-TERM RISK FACTOR FOR HOSPITAL READMISSION FOLLOWING INTRAMEDULLARY FIXATION OF INTERTROCHANTERIC FRACTURES

Tip-apex distance (TAD) has long been discussed as a metric for determining risk of failure in fixation of peritrochanteric hip fractures. This study seeks to investigate risk factors including TAD for hospital readmission one year after hip fixation surgery.A retrospective review of proximal hip fractures treated with single screw intramedullary devices between 2016 and 2020 was performed at a 327 bed regional medical center. Patients included had a postoperative follow-up of at least twelve months or surgery-related complications developing within that time.44 of the 67 patients in this study met the inclusion criteria with adequate follow-up post-surgery. The average TAD in our study population was 19.57mm and the average one year readmission rate was 15.9%. 3 out of 6 patients (50%) with a TAD &gt; 25mm were readmitted within one year due to surgery-related complications. In contrast, 3 out of 38 patients (7.9%) with a TAD &lt; 25mm were readmitted within one year due to surgery-related complications (p=0.0254). Individual TAD measurements, averaging 22.05mm in patients readmitted within one year of surgery and 19.18mm in patients not readmitted within one year of surgery were not significantly different between the two groups (p=0.2113).Our data indicate a significant improvement in hospital readmission rates up to one year after hip fixation surgery in patients with a TAD &lt; 25mm with a decrease in readmissions of over 40% (50% vs 7.9%). This result builds upon past investigations by extending the follow-up time to one year after surgery and utilizing hospital readmissions as a metric for surgical success. With the well-documented physical and financial costs of hospital readmission after hip surgery, our study highlights a reduction of TAD &lt; 25mm as an effective method of improving patient outcomes and reducing financial costs to patients and medical institutions.

Accounting for the Growth of Observation Stays in the Assessment of Medicare’s Hospital Readmissions Reduction Program

Decreases in 30-day readmissions following the implementation of the Medicare Hospital Readmissions Reduction Program (HRRP) have occurred against the backdrop of increasing hospital observation stay use, yet observation stays are not captured in readmission measures. To examine whether the HRRP was associated with decreases in 30-day readmissions after accounting for observation stays. This retrospective cohort study included a 20% sample of inpatient admissions and observation stays among Medicare fee-for-service beneficiaries from January 1, 2009, to December 31, 2015. Data analysis was performed from November 2021 to June 2022. A differences-in-differences analysis assessed changes in 30-day readmissions after the announcement of the HRRP and implementation of penalties for target conditions (heart failure, acute myocardial infarction, and pneumonia) vs nontarget conditions under scenarios that excluded and included observation stays. Thirty-day inpatient admissions and observation stays. The study included 8 944 295 hospitalizations (mean [SD] age, 78.7 [8.2] years; 58.6% were female; 1.3% Asian; 10.0% Black; 2.0% Hispanic; 0.5% North American Native; 85.0% White; and 1.2% other or unknown). Observation stays increased from 2.3% to 4.4% (91.3% relative increase) of index hospitalizations among target conditions and 14.1% to 21.3% (51.1% relative increase) of index hospitalizations for nontarget conditions. Readmission rates decreased significantly after the announcement of the HRRP and returned to baseline by the time penalties were implemented for both target and nontarget conditions regardless of whether observation stays were included. When only inpatient hospitalizations were counted, decreasing readmissions accrued into a -1.48 percentage point (95% CI, -1.65 to -1.31 percentage points) absolute reduction in readmission rates by the postpenalty period for target conditions and -1.13 percentage point (95% CI, -1.30 to -0.96 percentage points) absolute reduction in readmission rates by the postpenalty period for nontarget conditions. This reduction corresponded to a statistically significant differential change of -0.35 percentage points (95% CI, -0.59 to -0.11 percentage points). Accounting for observation stays more than halved the absolute decrease in readmission rates for target conditions (-0.66 percentage points; 95% CI, -0.83 to -0.49 percentage points). Nontarget conditions showed an overall greater decrease during the same period (-0.76 percentage points; 95% CI, -0.92 to -0.59 percentage points), corresponding to a differential change in readmission rates of 0.10 percentage points (95% CI, -0.14 to 0.33 percentage points) that was not statistically significant. The findings of this study suggest that the reduction of readmissions associated with the implementation of the HRRP was smaller than originally reported. More than half of the decrease in readmissions for target conditions appears to be attributable to the reclassification of inpatient admission to observation stays.

Abstract 10112: Association of Coronary Artery Disease Testing During Index Hospitalization for New-Onset Heart Failure With Thirty-Day Readmission Rates and Mortality

Introduction: Testing for coronary artery disease (CAD) is recommended for patients with new-onset heart failure (HF). There are limited data on the association between testing for CAD during index hospitalization for patients with the new-onset HF and early readmission rates and readmission mortality. Hypothesis: CAD testing for new-onset HF during index hospitalization may reduce 30-day readmission rates and readmission-related mortality. Methods: Patients hospitalized for new-onset HF were identified from the Nationwide Readmission Database of the United States. Clinical characteristics, 30-day readmission rates, readmission-related mortality were compared in patients with or without testing for CAD during index hospitalization. CAD testing includes coronary angiography, coronary CT angiography, cardiac MRI, nuclear imaging or cardiac stress test. Results: Between January 2016 and November 2019, of 151,172 patients hospitalized for new-onset HF, 30,444 (20.1%) patients underwent testing for CAD during index hospitalization. Younger patients, males, and patients with HF with reduced ejection fraction (HFrEF) had more frequent testing for CAD. Only 9.5% of CAD-tested patients received percutaneous coronary intervention during the index hospitalization. Patients with CAD testing had lower 30-day readmission rates than those without testing (11.4% vs 14.3%, P&lt;0.001; adjusted odds ratio (OR) 0.81, 95% confidence interval (CI) 0.76 to 0.87). Patients with CAD testing had lower 30-day readmission-related mortality rates than those without testing (0.5% vs 0.9%, P&lt;0.001; adjusted OR 0.82, 95% CI 0.65 to 1.04). Readmission rate for HF at 30 days was 2.3% for patients with CAD testing vs 3.5% for those without testing (P&lt;0.001; adjusted OR 0.67, 95% CI 0.59 to 0.76). There was a significant interaction between HF type (HFrEF vs HF with preserved EF) and CAD testing on 30-day readmission rates (P for interaction &lt;0.001). Conclusions: Testing for CAD during index hospitalization for patients with new-onset HF was associated with reduced 30-day readmission rates. There was substantial decrease in readmission for HF and readmission-related mortality in patients who underwent CAD testing during index hospitalization.

Decrease in Readmissions after Hospitalisation for COPD Exacerbation through a Home Care Model

ObjectiveTo decrease readmissions at 30 and 90 days post-discharge from a hospital admission for chronic obstructive pulmonary disease exacerbation (COPDE) through the home care model of the Ambulatory Chronic Respiratory Care Unit (ACRCU), increase patient survival at one year, and validate our readmission risk scale (RRS). Materials and methodsThis was an observational study, with a prospective data collection and a retrospective data analysis. A total of 491 patients with a spirometry diagnosis of chronic obstructive pulmonary disease (COPD) requiring hospitalisation for an exacerbation were included in the study. Subjects recruited within the first year (204 cases) received conventional care (CC). In the following year a home care (HC) programme was implemented and of those recruited that year (287) 104 were included in the ACRCU, administered by a specialised nurse. ResultsIn the group of patients included in the home care model of the Ambulatory Chronic Respiratory Care Unit (ACRCU) a lower number of readmissions was observed at 30 and 90 days after discharge (30.5% vs. 50%, p=0.012 and 47.7% vs. 65.2%, p=0.031, respectively) and a greater one-year survival (85.3% vs. 59.1%, p<0.001). The validation of our RRS revealed that the tool's capacity to predict readmissions at both 30 and 90 days was not high (AUC=0.69 and AUC=0.66, respectively). ConclusionsThe inclusion of exacerbator or fragile COPD patients in the ACRCU could achieve a decrease in readmissions and an increase in survival. The number of episodes of exacerbation within the 12 months prior to the hospital admission is the variable that best predicts the risk of readmission.

Effect of Educational Interventions to Reduce Readmissions due to Heart Failure Decompensation in Adults: a Systematic Review and Meta-analysis.

Objective.To estimate the combined effect of educational interventions (EI) on decreased readmissions and time of hospital stay in adults with heart failure, compared with usual care.Methods.Systematic review (SR) and meta-analysis (MA) of randomized controlled trials that followed the recommendations of the PRISMA statement. The protocol was registered on PROSPERO (CRD42019139321). Searches were made from inception until July 2019 in the databases of PubMed/Medline, Embase, Cochrane CENTRAL, Lilacs, Web of Science, and Scopus. The MA was conducted through the random effects model. The effect measure used for the dichotomous outcomes was relative risk (RR) and for continuous outcomes the mean difference (MD) was used, with 95% confidence intervals (CI). Heterogeneity was evaluated through the inconsistency statistic (I2).Results.Of 2369 studies identified, 45 were included in the SR and 43 in the MA. The MA of studies with follow-up at six months showed a decrease in readmissions of 30% (RR: 0.70; 95% CI: 0.58 to 0.84; I2: 0%) and the 12-month follow-up evidenced a reduction of 33% (RR: 0.67; 95% CI: 0.58 to 0.76; I2: 52%); both analyses in favor of the EI group. Regarding the time of hospital stay, a reduction was found of approximately two days in patients who received the EI (MD: -1.98; 95% CI: -3.27 to -0.69; I2: 7%).Conclusion.The findings support the benefits of EI to reduce readmissions and days of hospital stay in adult patients with heart failure.

Impacts of Performance Pay for Hospitals: The Readmissions Reduction Program

US policy increasingly ties payments for providers to performance on quality measures, though little empirical evidence guides the design of such incentives. I deploy administrative data to study a large federal program that penalizes hospitals with high readmissions rates. Using policy-driven variation in the penalty incentive across hospitals for identification, I find that hospital responses to the penalty account for two-thirds of the observed decrease in readmissions over this period, as well as a decrease in heart attack mortality. Quality improvement accounts for about one-half of the decrease in readmissions; the remainder is explained by selective admission of returning patients. (JEL G22, H51, I11, I12, I13, I18)

Innovation in health care: continuous wireless monitoring to improve management of critically ill atients: LIMS study preliminary results

Abstract Background Wireless vital parameter continuous monitoring (WVPCM) is compared to regular nurse monitoring in order to provide data on the clinical and economic impact of critically ill patients (CIPs) in Internal Medicine Units (IMU). Study Design Pilot prospective randomized controlled open-label multi-center study with WIN@Hospital wearable wireless system creating alerts on portable devices (ipad). Experimental Arm: CIPs with MEWS (Modified Early Warning Score) ≥3 and/or NEWS (National Early Warning Score) ≥5 at admission underwent WCPCM over the first 72 h. Active Comparator: CIPs with MEWS ≥3 and/or NEWS ≥5 at admission undergoing regular nurse monitoring. Method Primary outcomes: Reduction of major complications (MC) from 15% to 5%. Secondary outcomes: One day reduction in length of stay (LOS); reduced nurse monitoring time; accurate patient stratification and definition of end stage disease. Results Preliminary results: Enrolled 145 and evaluable 125 patients (51 M/74 F), mean age 80.5 years, Comorbidity: Cumulative Illness Rating Scale CIRS-CI: 4, CIRS SI: 1.8. About 38% scored a BRASS (Blaylock Risk Assessment Screening Score) ≥20 indicating need for discharge planning requiring step-down care. More than 50% of patients present IIA index &amp;gt;3 indicating high dependency from nursing assistance. Nurses saved a minimum of 49,6 minutes to a maximum of 58,1 minutes on time spent monitoring each patient per day. A trend towards reduction of major complications in the experimental group appears to be seen (31% versus 45%). Decrease in re-admissions (7% versus 11%) and mortality (7.3% versus 23.9%) has been observed. Arrhythmic and ischemic complications detection doubled in the experimental arm. More than 30% of the patients meet the criteria defining end stage disease. Conclusion WVPCM, detecting early deterioration in CIPs, may facilitate timely response in at-risk patients, increasing safety and reducing costs. Telemedicine Network Funding Acknowledgement Type of funding source: None

Engaging Postpartum Women Through Implementation of a Remote Monitoring Protocol for Hypertensive Disorders of Pregnancy

A remote blood pressure monitoring protocol was implemented at a hospital-system level for management of hypertension in postpartum women after hospital discharge. This included women admitted to the postpartum unit of a single to tertiary care hospital. We designed nursing call center–driven blood pressure management and treatment algorithms initiated after hospital discharge until 6 weeks postpartum. Women are eligible to participate if they have a clinical diagnosis of chronic hypertension, chronic hypertension with superimposed preeclampsia, gestational hypertension, preeclampsia, eclampsia, or new-onset postpartum hypertension and have access to a text messaging–enabled smartphone. After identification by an obstetric provider, women are enrolled into the program, which is automatically indicated in the electronic medical record. A team of nurses provides bedside education and enrollment to the patient before discharge from the postpartum unit. Our emergency department enrolls patients presenting with postpartum hypertension who do not require a readmission, which enhances the safe plan of care for follow up. Throughout the program, patients are automatically prompted via text messages to check their blood pressure and record the data over predetermined intervals. We demonstrate high compliance, retention, and patient satisfaction with the program. This is a feasible, scalable, remote monitoring program connected to the electronic medical record. The program has led to a significant improvement in follow-up visits, with approximately 90% of patients returning for their 4-6–week check-up, compared with a national average of just 48%–58%. We have provided medication management to more than 30% of enrolled patients, resulting in a trending decrease in readmissions. Coordination of care beyond the episode of pregnancy to primary care providers has doubled for our enrolled patients during the last 18 months, which will hopefully lead to improved population health. The data are being captured and studied to determine disparity of race compared with diagnosis and length of time to blood pressure normalizations along with diagnosis and medication management comparison to length of time to blood pressure normalizations. These results may affect how we care for women who have high-risk pregnancies.

Home Discharge Has Increased After Total Hip Arthroplasty, However Rates Vary Between Large Databases

BackgroundThere have been significant advancements in perioperative total hip arthroplasty (THA) care and it is essential to quantify efforts made to better optimize patients and improve outcomes. The purpose of this study is to assess trends in discharge destination, length of stay (LOS), reoperations, and readmissions following THA. MethodsPatients undergoing primary THA were identified using International Statistical Classification of Diseases and Current Procedural Terminology codes in the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) and Humana claims databases. Discharge destinations were assessed and categorized as home or not home. Trends in discharge destination, LOS, readmissions, reoperation, and comorbidity burden were assessed. ResultsIn ACS NSQIP, 155,637 patients underwent THA and the percentage of patients discharging home increased from 72.2% in 2011 to 87.0% in 2017 (P < .0001). In Humana, 84,832 THA patients were identified, with an increase in home discharge from 56.6% to 72.8% (P < .0001). LOS decreased and proportion of patients with an American Society of Anesthesiologists score ≥3 or Charlson Comorbidity Index ≥2 increased significantly for both home and nonhome going patients. Patients discharged home had a decrease in readmissions in both databases. ConclusionPatients undergoing THA more often discharged home and had shorter hospital LOS with lower readmission rates, despite an increasingly comorbid patient population. It is likely these changes in disposition and LOS have resulted in significant cost savings for both payers and hospitals. The efforts necessary to maintain improvements should be considered when changes to reimbursement are being evaluated. ACS NSQIP hospitals had a larger proportion of patients discharged home and the source of data used to benchmark hospitals should be considered as findings may differ.

Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital.

Hospital readmissions are a key quality metric, which has been tied to reimbursement. One strategy to reduce readmissions is to direct resources to patients at the highest risk of readmission. This strategy necessitates a robust predictive model coupled with effective, patient-centered interventions. The aim of this study was to reduce unplanned hospital readmissions through the use of artificial intelligence-based clinical decision support. A commercially vended artificial intelligence tool was implemented at a regional hospital in La Crosse, Wisconsin between November 2018 and April 2019. The tool assessed all patients admitted to general care units for risk of readmission and generated recommendations for interventions intended to decrease readmission risk. Similar hospitals were used as controls. Change in readmission rate was assessed by comparing the 6-month intervention period to the same months of the previous calendar year in exposure and control hospitals. Among 2,460 hospitalizations assessed using the tool, 611 were designated by the tool as high risk. Sensitivity and specificity for risk assignment were 65% and 89%, respectively. Over 6 months following implementation, readmission rates decreased from 11.4% during the comparison period to 8.1% (p < 0.001). After accounting for the 0.5% decrease in readmission rates (from 9.3 to 8.8%) at control hospitals, the relative reduction in readmission rate was 25% (p < 0.001). Among patients designated as high risk, the number needed to treat to avoid one readmission was 11. We observed a decrease in hospital readmission after implementing artificial intelligence-based clinical decision support. Our experience suggests that use of artificial intelligence to identify patients at the highest risk for readmission can reduce quality gaps when coupled with patient-centered interventions.

What Hospital Implementation Strategies Are Associated with Successful Performance Under Maryland’s All‐Payer Model?

In January 2014, Maryland shifted its all‐payer hospital rate setting system from one that paid hospitals based on charges per case to a fixed global budget payment model. Under Maryland’s All‐Payer Model (MDAPM), hospitals had considerable flexibility to implement strategies to meet their global budget and other model goals, including improving quality, safety, and patient satisfaction.We conducted a comparative case study to identify the implementation strategies used in hospitals with successful outcomes under MDAPM.We conducted a mixed‐method analysis that examined the association between changes in hospital performance and the use of different implementation strategies. We used data from a survey fielded among all Maryland acute care hospitals from October to December 2018 that examined whether hospitals implemented 28 strategies, either before or during MDAPM. We complemented survey data with qualitative data collected from site visits to all hospitals and focus group discussions with hospital‐based nurses and physicians conducted from April 2015 to February 2019.We calculated two hospital‐level measures to assess performance—operating margin (financial performance) and Medicare 30‐day unplanned readmission rate (patient care performance). We used hospital financial reports to calculate change in operating margin from a two‐year baseline period (FY2012‐FY2013) to a five‐year implementation timeframe (FY2014‐FY2018). For readmissions, we calculated the change from a three‐year baseline period (January 2011‐December 2013) to a 4.5‐year implementation timeframe (January 2014‐June 2018). We established four performance categories for each outcome based on a hospital’s pre‐post change: decline and low, medium, or high improvement. For financial performance, improvement was an increase in operating margin. For patient care, performance improvement was a decrease in readmissions. Cut points for low, medium, and high improvement were based on the distribution of each outcome.46 Maryland acute care hospitals.Two strategies—employing physician staff and providing patients with clinically specific education—were associated with improvements in both performance outcomes. Eight strategies were associated with improved patient care performance, such as utilizing customized data analytics, engaging physicians in implementing MDAPM‐related strategies, investing in interventions that address social determinants of health, and referring patients to alternative care settings. Three strategies were associated with improved financial performance, including using Maryland’s health information exchange and participating in a program to improve alignment with physicians.Six strategies were not associated with either performance measure. Eight strategies were employed by nearly all Maryland hospitals and, therefore, could not be associated with hospital performance.Almost half of the strategies examined were associated with at least one of the dimensions of successful performance examined. The comparative case study approach does not provide a causal perspective on hospital performance. Thus, we cannot determine whether adopting these strategies improved hospital performance or whether improvements in performance facilitated hospitals’ ability or desire to implement these strategies.Hospitals seeking to improve their performance may want to emphasize the two implementation strategies that were associated with greater success in both patient care and financial performance. Hospitals operating under a global budget model may consider adopting the eight strategies implemented by nearly all Maryland hospitals as implementation building blocks.Centers for Medicare and Medicaid Services.

In-Hospital Management of Sleep Apnea During Heart Failure Hospitalization: A Randomized Controlled Trial

BackgroundObstructive sleep apnea (OSA) is associated with increased mortality and readmissions in patients with heart failure (HF). The effect of in-hospital diagnosis and treatment of OSA during decompensated HF episodes remains unknown. Methods and ResultsA single-site, randomized, controlled trial of hospitalized patients with decompensated HF (n = 150) who were diagnosed with OSA during the hospitalization was undertaken. All participants received guideline-directed therapy for HF decompensation. Participants were randomized to an intervention arm which received positive airway pressure (PAP) therapy during the hospitalization (n = 75) and a control arm (n = 75). The primary outcome was discharge left ventricular ejection fraction (LVEF). The LVEF changed in the PAP arm from 25.5 ± 10.4 at baseline to 27.3 ± 11.9 at discharge. In the control group, LVEF was 27.3 ± 11.7 at baseline and 28.8 ± 10.5 at conclusion. There was no significant effect on LVEF of in-hospital PAP compared with controls (P = .84) in the intention-to-treat analysis. The on-treatment analysis in the intervention arm showed a significant increase in LVEF in participants who used PAP for ≥3 hours per night (n = 36, 48%) compared with those who used it less (P = .01). There was a dose effect with higher hours of use associated with more improvement in LVEF. Follow-up of readmissions at 6 months after discharge revealed a >60% decrease in readmissions for patients who used PAP ≥3 h/night compared with those who used it <3 h/night (P < .02) and compared with controls (P < .04). ConclusionsIn-hospital treatment with PAP was safe but did not significantly improve discharge LVEF in patients with decompensated HF and newly diagnosed OSA. An exploratory analysis showed that adequate use of PAP was associated with higher discharge LVEF and decreased 6 months readmissions.

Evaluation of the Sex-and-Age-Specific Effects of PM2.5 on Hospital Readmission in the Presence of the Competing Risk of Mortality in the Medicare Population of Utah 1999-2009.

Acute ambient air pollution exposure increases risk of cardiac events. We evaluated sex-and-age-specific effects of PM2.5 on hospital readmission and death among 19,602 Medicare beneficiaries (Nevents = 30,510) who survived cardiovascular events including myocardial infarction (MI), heart failure (HF), ischemic heart disease (IHD), and cardiac arrhythmias in Utah from 1999–2009. Fine and Gray regression jointly modeled the effect of PM2.5 on readmission hazard rates while allowing for the competing risk of death. Models were stratified by age and sex and adjusted for Charlson Comorbidity Index, dual enrollment in Medicare Parts A and B, temperature, and household income. There were 2032 cardiac readmissions and 1420 deaths after discharge. Among males age 65–74 years admitted for HF, a 10 μm/m3 increase in PM2.5 was associated with a 30% increase in risk of readmission (p = 0.01). Among females age 75–84 admitted for HF, PM2.5 was associated with a 22% increase in risk of readmission (p = 0.01). Among females age 75–84 years admitted for IHD, PM2.5 was associated with a 25% decrease in readmission (p = 0.01), however this was explained by a 36% increase in risk of death (p = 0.01). Exposure to PM2.5 was associated with increased risk of readmission and death. Associations were dependent upon age, sex, and index condition.

Does Scheduling a Postdischarge Visit with a Primary Care Physician Increase Rates of Follow-up and Decrease Readmissions?

Driven in part by Medicare's Hospital Readmissions Reduction Program, hospitals are focusing on improving the transition from inpatient to outpatient care with particular emphasis on early follow-up with a primary care physician (PCP). To assess whether the implementation of a scheduling assistance program changes rates of PCP follow-up or readmissions. Retrospective cohort study. An urban tertiary care center PATIENTS: A total of 20,918 adult patients hospitalized and discharged home between September 2008 and October 2015. A postdischarge appointment service to facilitate early PCP follow-up. Primary outcomes were rates of follow-up visits with a PCP within seven days of discharge and hospital readmission within 30 days of discharge. Our first analysis assessed differences in outcomes among patients with and without the use of the service. In a second analysis, we exploited the fact that the service was not available on weekends and conducted an instrumental variable analysis that used the interaction between the intervention and day of the week of admission. In our multivariable analysis, use of the appointment service was associated with much higher rates of PCP follow-up (+31.9 percentage points, 95% CI: 30.2, 33.6; P < .01) and a decrease in readmission (-3.8 percentage points, 95% CI: -5.2, -2.4; P < .01). In the instrumental variable analysis, use of the service also increased the likelihood of a PCP follow-up visit (33.4 percentage points, 95% CI: 7.9, 58.9; P = .01) but had no significant impact on readmissions (-2.5 percentage points, 95% CI: -22.0, 17.0; P = .80). The postdischarge appointment service resulted in a substantial increase in timely PCP followup, but its impact on the readmission rate was less clear.