A Multidisciplinary,Community-Based Program to Reduce Unplanned Hospital Admissions

ObjectivesTo evaluate the effect of Hospital Admission Risk Program (HARP) on unplanned hospitalization, bed days, and mortality of enrolled individuals and to evaluate the cost-effectiveness of HARP.DesignA retrospective longitudinal analysis of hospital administrative data.InterventionIndividuals at risk of hospitalization were provided with multidisciplinary, community-based care support managed by care coordinators including integrated care planning, education, monitoring, service linkages, and general practitioner liaison over 6-9 months.Setting and ParticipantsIndividuals who were enrolled into 1 of 8 HARP chronic disease management programs between July 1, 2017, and June 30, 2018, at the Royal Melbourne Hospital, Australia.MethodsHospital admissions between 18 months before and 18 months after HARP enrollment were analyzed. Total hospital costs were compared between 18 months before and 12 months after HARP enrollment.ResultsA total of 1553 individuals with a median age of 71 years (interquartile range 60-81), 63.4% males, were admitted to HARP. Both unplanned hospitalizations and bed days were reduced during the HARP intervention compared to within 3 months before enrollment in each of the HARP management programs. After the HARP intervention, cardiac coach, cardiac heart failure, chronic respiratory, diabetes comanagement, and medication management programs had higher hospitalizations and bed days than individuals’ baseline of at least 3 months before HARP enrollment. Individuals in cardiac heart failure and chronic respiratory management programs had a higher mortality rate than other HARP chronic disease management programs. Individuals in cardiac coach, diabetes comanagement, and medication management programs had lower hospital costs during the HARP intervention compared to within 3 months before HARP enrollment.Conclusions and ImplicationsHARP reduced unplanned hospitalization and bed days but did not return individuals’ hospital use to baseline before the intervention. The variations in mortality between HARP chronic disease management programs implies that condition-specific goals between programs is preferable.     

Timing of Readmissions After Elective Total Hip and Knee Arthroplasty: Does a 30-Day All-Cause Rate Capture Surgically Relevant Readmissions?

BackgroundThe 30-day all-cause readmission rate is a widely used metric of hospital performance. However, there is lack of clarity as to whether 30 days is an appropriate time frame following surgical procedures. Our aim is to determine whether a 90-day time window is superior to a 30-day time window in capturing surgically relevant readmissions after total hip arthroplasty (THA) and total knee arthroplasty (TKA).MethodsWe analyzed readmissions following all primary THAs and TKAs recorded in the English National Health Service Hospital Episode Statistics database from 2008 to 2018. We compared temporal patterns of 30- and 90-day readmission rates for the following types of readmission: all-cause, surgical, return to theater, and those related to specific surgical complications.ResultsA total of 1.47 million procedures were recorded. After THA and TKA, over three-quarters of 90-day surgical readmissions took place within the first 30 days (78.5% and 75.7%, respectively). All-cause and surgical readmissions both peaked at day 4 and followed a similar temporal course thereafter. The ratio of surgical to medical readmissions was greater for THA than for TKA, with THA dislocation both being one of the most common surgical complications and clustering early after discharge, with 73.5% of 90-day dislocations occurring within the first 30 days.ConclusionThe 30-day all-cause readmission rate is a good reflection of surgically relevant readmissions that take place in the first 90 days after THA and TKA.     

Emergency Department Observation Versus Readmission Following total Joint Arthroplasty: Can We Avoid the Bundle Buster?

BackgroundAs the Center for Medicare and Medicaid (CMS) moves toward bundled payment plans for total joint arthroplasty (TJA), it becomes necessary to reduce factors that increase cost for an episode of care such as readmissions. The goal of this study is to evaluate the payment for observation stay versus readmission for patients who present to the emergency department.MethodsA retrospective review from 2014-2019 was conducted identifying all Medicare patients who had a primary, elective TJA and visited the ED within 90 days postoperatively. If a readmission was one midnight or less or had an equivalent diagnosis to an observation stay patient, it was characterized as a readmission that could have qualified as an observation stay. Using our institution’s average payment for Medicare readmissions and observations, actual and potential savings were calculated.ResultsSixty-nine out of 523 (13.2%) patients were placed under observation, while 454 (86.8%) patients were readmitted. Eighty-six out of 523 (18.9%) patients qualified for observation status. There was an actual savings of 11.8% by placing patients on observation status and readmission rate was decreased by 13.2%. Savings could have increased by a total of 27.7% and readmissions decreased by a total of 29.6% if all patients who qualified had been placed on observation status.ConclusionAt our institution, the implementation of observation stay has led to a savings of 11.8% and a potential total savings of 27.7%. The rate of readmissions was decreased by 13.2% and had the potential to decrease by a total of 29.6%.     

Risk factors and outcomes of cardiovascular disease readmission within the first year after dialysis in peritoneal dialysis patients

BackgroundIn the first year of dialysis, patients are vulnerable to cardiovascular disease (CVD) hospitalization, but knowledge regarding the risk factors and long-term outcomes of cardiovascular readmission within the first year after dialysis in incident continuous ambulatory peritoneal dialysis (CAPD) patients is limited.MethodsThis retrospective cohort study was conducted in incident CAPD patients. The demographic characteristics, laboratory parameters, and CVD readmission were collected and analyzed. The primary outcome was all-cause mortality, and the secondary outcomes included CVD mortality, infection-related mortality and technique failure. A logistic regression was used to identify the risk factors associated with CVD readmission within the first year after dialysis. Cox proportional hazards models were used to evaluate the association between CVD readmission and the outcomes.ResultsIn total, 1589 peritoneal dialysis (PD) patients were included in this study, of whom 120 (7.6%) patients had at least one episode of CVD readmission within the first year after dialysis initiation. Advanced age, CVD history, and a lower level of serum albumin were independently associated with CVD readmission. CVD readmission within the first year after dialysis was significantly associated with all-cause (HR 2.66, 95%CI 1.91–3.70, p < 0.001) and CVD (HR 3.42, 95%CI 2.20–5.31, p < 0.001) mortality, but not infection-related mortality or technique failure, after adjusting for confounders.ConclusionsOur findings suggest that an advanced age, a history of CVD, and a lower level of serum albumin were independently associated with CVD readmission. Moreover, CVD readmission was associated with all-cause and cardiovascular mortality in incident CAPD patients.     

Characterization of urgent versus nonurgent early readmissions (<30 days) following primary bariatric surgery: a single-institution experience

BackgroundStudies on early postoperative readmissions after bariatric surgery (BS) have examined readmissions as a single entity, regardless of urgency. Strategies to lower nonurgent readmissions would reduce unnecessary hospital utilization.ObjectivesTo identify predictors of urgent readmissions (UR) versus nonurgent readmissions (NUR) at 30 days post-BS.SettingSingle academic institution.MethodsPatients undergoing primary BS over 2 years (n = 589) were retrospectively reviewed. Baseline demographic, medical, and hospitalization data were compared between readmitted patients, stratified by urgency, and nonreadmitted patients. Multivariate regression models of UR and NUR were created using variables with a P value ≤ .2 on univariate analyses. A P value ≤ .05 was considered statistically significant.ResultsThere were 39 documented instances of 30-day readmissions, of which 44% (n = 17) were NUR; NUR patients were more likely to be female (100% versus 78.2% male; P = .03) and trended toward being younger, experiencing ≥2 perioperative complications, and having a longer index hospital length of stay (LOS). Patients with URs had a higher baseline BMI (52.5 ± 11.4 kg/m² versus 48.7 ± 8.3 kg/m², respectively; P = .04), were more likely to have sleep apnea (77.3% versus 56.1%, respectively; P = .05), had a longer LOS (3 versus 2 d, respectively; P = .007), and were more likely to have ≥2 postoperative complications (46% versus 17.0%, respectively; P = .003) compared with those with an NUR. Independent predictors of NUR included public insurance (odds ratio [OR] = 3.7; 95% confidence interval [CI], 1.17–11.67; P = .03), younger age (OR = 1.05; 95% CI, 1–1.01; P = .04), and female sex, while URs were independently predicted by LOS (OR = 1.3; 95% CI, 1.04–1.5; P = .02).ConclusionsPublic insurance appears to be associated with NURs, while LOS predicts URs after BS. This suggests an important dichotomy within readmissions based on urgency, which has important implications for targeted quality initiatives.