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1 ion, thromboembolic event, hemodialysis, and readmission).
2 n is associated with a higher rate of 30-day readmission.
3  and the composite of all-cause mortality or readmission.
4 ssociated with a higher likelihood of 30-day readmission.
5 ed were death and the composite of death and readmission.
6 s also associated with higher odds of 30-day readmission.
7 ns being the most common intervention during readmission.
8 ere was no significant difference for 30-day readmission.
9 likelihood of 30-day postoperative unplanned readmission.
10 ation, reintervention, early extubation, and readmission.
11 -day mortality, surgical site infection, and readmission.
12 stay > 10 days were the predictors of 30-day readmission.
13 , percutaneous drainage, length of stay, and readmission.
14 ncreased likelihood of an inpatient hospital readmission.
15 was from postacute care spending followed by readmission.
16 ociated with the risk-adjusted likelihood of readmission.
17 .523 for serious complication, and 0.559 for readmission.
18 sion) identified patients at high risk of HF readmission.
19 er, and not higher, rate of 30-day unplanned readmission.
20 remained significantly associated with fewer readmissions.
21 d health-related quality of life and reduces readmissions.
22 ions, ED visits, post-acute utilization, and readmissions.
23 ly lower 1-year all-cause and cardiovascular readmissions.
24  days post-TAVR), and 17 (2.3%) had multiple readmissions.
25 ileus, and shorter hospital stays with fewer readmissions.
26 no significant change in mortality or 90-day readmissions.
27 ency department visits, and 90-day unplanned readmissions.
28 ernal and fetal outcomes, and cardiovascular readmissions.
29 isit communication was associated with fewer readmissions.
30 significant risk factor for adhesion-related readmissions.
31 , .38-.86) were both associated with reduced readmissions.
32 (LOS), emergency department (ED) visits, and readmissions.
33 I, .18-.67) was associated with lower 90-day readmissions.
34 tly associated with risk of adhesion-related readmissions.
35 ry reduces the incidence of adhesion-related readmissions.
36 plications and severity, length of stay, and readmissions.
37   The program did not change trend in 30-day readmission (+0.19% readmissions/mo, P=0.554) and trend
38 7 days), 30% to death (2.5 days), and 12% to readmission (1.0 days).
39 n repair patients had higher rates of 90-day readmission (12.9% EVR versus 17.8% open; P<0.001) and a
40 2.1% [95% CI, -15.5% to 19.8%]), unscheduled readmission (14.3% vs 15.7%; adjusted difference, -1.3%
41 s 2.2% P=0.99), and a greater risk of 30-day readmission (16.0% versus 9.6%, P<0.0001).
42  telephone, 10.6% clinic, P=0.11), all-cause readmission (18.8% telephone, 20.6% clinic, P=0.30), and
43 o, 0.91 [95% CI, 0.88-0.95]), cardiovascular readmission (19.7% versus 22.9%; hazard ratio, 0.85 [95%
44 ts not experiencing a complication or 30-day readmission (1923/2573, 74.7%), low-value hospitals had
45 -value hospitals (P<0.001), driven by higher readmission ($3675 versus $2177, P=0.005), professional
46 : stroke was associated with lower all-cause readmission (40.4% versus 44.1%; hazard ratio, 0.91 [95%
47  1.11 [95% CI, 1.07-1.14]), higher all-cause readmission (41.3% vs 39.1%; adjusted HR, 1.07 [95% CI,
48 argest components of spending variation were readmissions (44% of variation, or $2043 per episode), p
49  vs 5.4 d, P < 0.01) and had fewer unplanned readmissions (5.9% vs 14.6%, P < 0.001).
50                                       Of all readmissions, 5166 (7.6%) were readmitted within 7 days.
51 9]), and composite of all-cause mortality or readmission (56.0% versus 58.4%; hazard ratio, 0.96 [95%
52 04-1.10]), and higher all-cause mortality or readmission (56.8% vs 53.1%; adjusted HR, 1.08 [95% CI,
53 nificant differences in 30-day heart failure readmission (8.6% telephone, 10.6% clinic, P=0.11), all-
54 ant patients experienced higher incidence of readmissions (8.0% vs 3.5%), surgical complications (5.0
55  associated with initial reduction in 30-day readmission (-9.8%, P=0.0002) and 30-day mortality (-2.6
56 .01-1.03), and higher all-cause mortality or readmission (adjusted HR, 1.02 [95% CI, 1.01-1.03]).
57  1.01 [95% CI, 0.99-1.03]), higher all-cause readmission (adjusted HR, 1.02; 95% CI, 1.01-1.03), and
58 d HR, 1.39 [95% CI, 1.23-1.56]) and hospital readmission (adjusted HR, 1.19 [95% CI, 1.11-1.27]) at 1
59 n group had reduced odds of 90-day all-cause readmission (adjusted odds ratio, 0.2; 95% confidence in
60 ion between prior opioid exposure and 30-day readmissions, adjusted for patient risk factors and proc
61                            Reducing hospital readmission after acute myocardial infarction (AMI) has
62                                     As such, readmission after AMI has been a target of financial pen
63 or acute myocardial infarction [AMI], 30-day readmission after AMI, and 30-day mortality after AMI) w
64 and factors associated with all-cause 30-day readmission after hospitalization for SCC.
65 the associations between early discharge and readmission after major abdominal operations.
66 ardiopulmonary complications, mortality, and readmission after noncardiac surgery.
67 n readmission diagnoses for 30-day and 7-day readmissions after discharge.
68 posure are associated with increased risk of readmissions after surgery.
69                    Moreover, number of early readmission, age > 64 years, non-alcoholic cirrhosis, an
70 rtion of spending attributable to admission, readmission, ambulatory or emergency care; monthly spend
71    We developed a predictive model of 30-day readmission among hospitalized patients discharged on OP
72                                     In 2016, readmission among patients with SCC incurred an addition
73 dy was to characterize frequency of hospital readmissions among patients hospitalized with laboratory
74 as utilized clinical information to forecast readmissions, analyzing digital footprints from social m
75     We estimated the relative risk of 30-day readmission and 30-day mortality following an index hosp
76 ology care is associated with reduced 30-day readmission and 30-day mortality.
77            We evaluated the effect on 30-day readmission and death of follow-up within 7 days postdis
78 which malaria is endemic have a high risk of readmission and death within 6 months after discharge.
79  HF therapies at discharge on the risk of HF readmission and death.
80  were performed to identify predictors of HF readmission and death.
81 s designed to examine the temporal trends of readmission and mortality after AMI and HF in Ontario, C
82  hospitals, is associated with postdischarge readmission and mortality outcomes, and meaningfully rec
83 trointestinal bleeding, pump thrombosis, and readmission and reduced hazards for cardiac transplantat
84                                  Rates of HF readmissions and all-cause mortality were then compared
85 stained increases in spending due to greater readmissions and ambulatory care visits.
86                     The associations between readmissions and area deprivation index were explored us
87       Among 7 studies that examined hospital readmissions and avoidable initial hospitalizations, non
88                     Outcomes included 30-day readmissions and death and frequency and type of complet
89 dary (PR referral and completion) or safety (readmissions and death) endpoints.
90                      There is a high rate of readmissions and deaths in the immediate 6 months after
91   SA children with BWF had increased risk of readmissions and deaths in the postdischarge period.
92 r primary aim was to study the rate of early readmissions and its predictors in liver transplant reci
93                             Excess 30-day HF readmissions and mortality are present among Black patie
94 ironment modifies the disparity in 30-day HF readmissions and mortality between Black and White patie
95                Excess in composite 30-day HF readmissions and mortality for Black patients ranged fro
96                                       Excess readmissions and mortality were estimated as the absolut
97 hepatic encephalopathy) and outcomes (30-day readmissions and survival).
98          Primary endpoints included hospital readmissions and total days readmitted.
99 ency department, observation stay, inpatient readmission) and their associated lengths of stay within
100 d Services (CMS) SEP-1 BCx component, 30-day readmission, and all-cause in-hospital and 30-day mortal
101 y of postoperative complications, mortality, readmission, and expenditures.
102  severe complications (Clavien-Dindo >=III), readmission, and in-hospital mortality.
103 ng mortality, any complication, reoperation, readmission, and length of stay.
104 s were 1-year all-cause mortality, all-cause readmission, and the composite of all-cause mortality or
105  inpatient admission; discharges, transfers, readmissions, and deaths (trajectories) for 6 months fol
106  over time, less likely to experience 30-day readmissions, and had lower mortality (adjusted hazard r
107 ecificity for predicting adverse events, ICU readmissions, and hospital death.
108 red, as well as severity-adjusted mortality, readmissions, and lengths of stay.
109 tcomes included hospital length of stay, ICU readmissions, and mortality (ICU and hospital).
110  diverge for HF. For AMI and HF, admissions, readmissions, and mortality rates declined over this per
111 heart failure (HF), post-AMI and HF hospital readmissions, and mortality.
112 e, length of stay, emergency department use, readmissions, and mortality.
113 utcomes for the PVI arm: fewer ED visits and readmissions, and shorter initial and total 30-day LOS.
114 everity of illness at ICU admission, and ICU readmission are associated with increased risk of early
115                         Late and multiple HF readmissions associate with an increased risk of long-te
116               However, the overall burden of readmissions associated with adhesions remains high.
117 ower all-cause mortality and lower all-cause readmission at 1 year.
118 enal failure were the most common causes for readmission at 30 days.
119  in accountable care organizations to detect readmission at other hospitals.
120 tion index was significantly associated with readmissions (beta, 0.03; p < 0.001).
121 atabase (NRD) to identify patterns of 30-day readmission by patient demographic characteristics and t
122 , 95% CI 0.60-0.77), and of possibly related readmissions by 11% (HR 0.89, 0.85-0.94) compared with o
123 roscopy reduced the risk of directly related readmissions by 32% (hazard ratio [HR] 0.68, 95% CI 0.60
124                  We did subgroup analyses of readmissions by anatomical site of surgery and used Kapl
125                                    Non-index readmission carries a heightened risk of FTR.
126 IRR: 0.14; 95% CI: 0.05-0.37; P < .001), and readmission charges (IRR: 0.11; 95% CI: 0.03-0.46; P = .
127 ere survival and inflation-adjusted hospital readmission charges.
128  a decrease in average proportion of patient readmissions compared to patients discharged on median d
129 d with the best performance and lower 30-day readmissions compared with subspecialty consultation wit
130  information on readmission diagnoses, total readmission costs and factors associated with readmissio
131 e to determine the trends of LT, reasons for readmission, costs and predictors of calendar year morta
132 ntemporary, nationally representative 30-day readmissions data after carotid artery stenting (CAS) an
133                  We analyzed 2016 nationwide readmission database (NRD) to identify patterns of 30-da
134                       We used the Nationwide Readmissions Database from 2014, which is a nationally r
135     Hospital-level clustering and Nationwide Readmissions Database sampling weights were applied to a
136                After applying the Nationwide Readmissions Database sampling weights, there were 55,62
137                         Using the Nationwide Readmissions Database, we identified patients with aorti
138 2010 to September 30, 2015 in the Nationwide Readmissions Database.
139  identified from the 2013 to 2014 Nationwide Readmissions Databases.
140           The present study aimed to examine readmission diagnoses and factors associated with all-ca
141  We estimated the percentage and most common readmission diagnoses for 30-day and 7-day readmissions
142                              The spectrum of readmission diagnoses was largely similar in both 30-day
143                      Accurate information on readmission diagnoses, total readmission costs and facto
144                                  Overall, HF readmission did not significantly impact all-cause morta
145 utcome measure was the incidence of hospital readmissions directly related to adhesions in the laparo
146 ms were to examine ERP effect on LOS, 30-day readmission, discharge disposition, and complications.
147 ed length of stay and increased frequency of readmissions due to recurrences.
148 sease were associated with increased risk of readmission during the subsequent year.
149                     Spending associated with readmissions, emergency department visits, and outpatien
150  have a significantly higher risk for 30-day readmission following a hospitalization for sepsis.
151  The primary outcome of our study was 30-day readmissions following discharge.
152 -related, respiratory-related, and all-cause readmissions following surgery is unknown.
153 ular events (MACE), all-cause mortality, and readmission for cardiovascular (CV) causes at 3 years' f
154 plications, in-hospital mortality and 30-day readmission for HFrEF compared to HFpEF patients were 1.
155                                              Readmission for ICU survivor care versus usual care: at
156                        Potentially avoidable readmission for severe adverse events and death at 6 mon
157 E) occurred (47 cardiovascular deaths and 89 readmissions for acute heart failure).
158 dhesions, possibly related to adhesions, and readmissions for an operation that was potentially compl
159 t for severe anemia prevented more deaths or readmissions for any reason after discharge than placebo
160 The primary outcome was one or more hospital readmissions for any reason or death from the time of ra
161 -day readmission rate was 2% and the rate of readmission from 30 to 90 days postpartum was 4.6%.
162                                          The readmission group was older, female predominant, and had
163 Overall, 53 patients (7.1%) experienced late readmissions (&gt;30 days post-TAVR), and 17 (2.3%) had mul
164 propensity matching, patients with non-index readmission had higher rates of FTR (5.6% vs. 4.3%; p <
165  in Ontario, Canada, where reducing hospital readmissions has not had a policy incentive.
166 y associated with the composite of death and readmission (hazard ratio [HR], 1.54; P = .030).
167 ly associated with both incident MACE and CV readmission (hazard ratio [HR]: 0.76; 95% confidence int
168 ons (hazard ratio, 2.25; p < 0.001), and ICU readmission (hazard ratio, 3.76; p < 0.001) as risk fact
169  per 1% increase, 1.010; p < 0.001), and ICU readmission (hazard ratios, 4.10, 4.17, and 1.82 for dea
170 mia, SA children with BWF had higher risk of readmissions (hazard ratio [HR], 1.68; 95% confidence in
171 R, 1.90 [95% CI, 1.30-2.78]) and multiple HF readmissions (HR, 2.10 [95% CI,1.17-3.76]) were signific
172 ce readmission in patients with high risk of readmission identified in our study.
173 ), organ failure in 198 patients (7.6%), and readmission in 427 patients (16.2%).
174   Strategies should be implemented to reduce readmission in patients with high risk of readmission id
175 ernal and fetal outcomes, and cardiovascular readmissions in a cohort of pregnant women with underlyi
176 ) is a leading cause of hospitalizations and readmissions in the United States.
177 yses, monitoring was associated with reduced readmissions (incidence rate ratio [IRR]: 0.56; 95% conf
178                      Predictors of non-index readmission included top quartile for zip code median ho
179 care within 30 days of discharge or prior to readmission, including 52% of patients visiting the OPAT
180 to hospital ward and are associated with ICU readmission, increased hospital length of stay and death
181 3 days), but the average number of unplanned readmission inpatient days was 2.0 for SAVR, 3.0 for TAV
182 nts of 90-day episode spending variation are readmissions, inpatient professional fees, and post-acut
183 oring was associated with lower incidence of readmission (IRR: 0.38; 95% CI: 0.23-0.63; P < .001), da
184                           Heart failure (HF) readmission is common post-transcatheter aortic valve re
185                                           HF readmission is common within 1-year of TAVR.
186 eadmission costs and factors associated with readmission is required to effectively plan resource all
187                  Reduction of early hospital readmissions is a declared goal in the United States eco
188 rt (n=22 214; 8.4% versus 7.9%, P=0.20), and readmission length of stay was longer for CEA than CAS (
189 pioid exposures were predictive of all-cause readmissions (low: OR 1.09, 95% CI: 1.06-1.12); high: OR
190 2, 95% CI=1.53-1.71] and respiratory-related readmissions [low: aOR=1.10, 95% CI=1.05-1.16; high: aOR
191  associated with higher risk of pain-related readmissions [low: aOR=1.27, 95% CI=1.23-1.32; high: aOR
192 scharge hospital use, rather than the 30-day readmission measure to evaluate health care system perfo
193 if the EDAC measure were used instead of the readmission measure to evaluate performance.
194 t change trend in 30-day readmission (+0.19% readmissions/mo, P=0.554) and trend in 30-day mortality
195 tion (HO-CDI) is a costly problem leading to readmissions, morbidity and mortality.
196        Outcomes [30-day morbidity, unplanned readmissions, mortality, postoperative length of stay (L
197                                   In ~30% of readmissions, no trigger could be identified.
198                                        Early readmission not only increases burden on healthcare, but
199                                   Thirty-day readmission occurred in 9 patients, 7 (8.3%) laparoscopi
200                                     Multiple readmissions occurred in 739 patients (54%).
201 n remained a significant predictor of 30-day readmission (odds ratio, 1.640 [95% CI, 1.603-1.677], P<
202 ce interval 2.08-4.34), P < 0.01] and 30-day readmissions [odds ratio 1.61 (confidence interval % CI
203 his report describes short-term outcomes and readmissions of patients undergoing HH repair at our ins
204 e (PPH), bile leak, blood loss, reoperation, readmission, oncologic outcomes (R0-resection, lymph nod
205                       The lower incidence of readmission or death in the chemoprevention group than i
206  3 through week 26, a total of 184 events of readmission or death occurred in the chemoprevention gro
207      Of these, 9139 were excluded because of readmission or invalid coding.
208 eenness was not associated with any delay in readmission or mortality among AMI and HF patients.
209 nt experiences and no significant changes in readmission or mortality rates.
210                                 Incidence of readmissions or deaths during the follow-up period was c
211 ismissal group, there were no differences in readmissions or emergency room visits at 30 or 90 days.
212 ital length of stay without increases in ICU readmissions or hospital mortality.
213 inate the Black excess in combined 30-day HF readmissions or mortality in any of the neighborhood qua
214 09 [1.80, 2.43]), and reduced risk of 30-day readmission (OR 0.68 [0.66, 0.70]).
215 96, 95% confidence interval (CI) 0.92-0.99], readmission (OR 0.96, 95% CI 0.93-0.99), and reoperation
216 ty [odds ratio (OR) 1.2, P = 0.004], but not readmission (OR 1.1, P = 0.48) or LOS (incidence rate ra
217  discharge was not associated with decreased readmissions (OR = 1.87; 95% CI, .62-5.10).
218 , reoperation [OR, 0.65 (95% CI, 0.42-1.0)], readmission [OR, 0.82 (95% CI, 0.57-1.2)], and length of
219 LOS, POPF, DGE, PPH, bile leak, reoperation, readmission, or oncologic outcomes between LPD and OPD.
220 as not associated with changes in mortality, readmissions, or length of stay.
221 ntal effects on severity adjusted mortality, readmissions, or lengths of stay.
222 tatistically significant predictor of 90-day readmission (p = 0.03).
223 ndex hospitalization (-16.7%, P = 0.002) and readmissions payments (-27.0%, P = 0.003).
224 yments related to the index hospitalization, readmissions, physician services, and postacute care.
225 k-adjusted 30-day home time had lower 30-day readmission (quartile 1 versus 4, 21% versus 17%), 30-da
226 gth of stay (6.5 versus 3.2 days, P < 0.01), readmission rate (29.1% vs 3.1%, P < 0.01), and discharg
227      The utility of 30-day risk-standardized readmission rate (RSRR) as a hospital performance metric
228                                   The 30-day readmission rate after hospitalization for a sickle cell
229 nding hospitals had an average risk-adjusted readmission rate of 17.3% compared to 29.4% in the highe
230                   Following delivery, 30-day readmission rate was 2% and the rate of readmission from
231                                   The 30-day readmission rate was 30.6% among a total of 25,054 LTRs.
232                                  The 180-day readmission rate was 62.3% in the intervention group and
233                           The overall 30-day readmission rate was higher before the intervention than
234         In all operations, the risk-adjusted readmission rate was lower among the lowest-spending hos
235 ates at the cost of a slightly higher 30-day readmission rate.
236 e treatment of ABSSSI, with a higher 30-days readmission rate.
237 no significant differential change in 30-day readmission rates (-0.10 percentage points; 95% CI, -0.5
238 ation, ED visit, post-acute utilization, and readmission rates (P < 0.001).
239                                              Readmission rates after acute myocardial infarction (AMI
240  recorded to determine their relationship to readmission rates and other healthcare outcomes.
241  (aOR, 1.31 [95% CI, 1.02-1.68]), but 30-day readmission rates did not differ.
242 team, maternal outcomes were encouraging and readmission rates following delivery were low.
243                                   Thirty-day readmission rates for the weighted 232,852 HF patients w
244 ) has penalized hospitals with higher 30-day readmission rates more than $3 billion to date.
245  stay was 4 days shorter and 30-day hospital readmission rates were 48% lower in the exebacase-treate
246                                              Readmission rates were higher after RYGB (4.3% vs 3.4%,
247                                 Crude 30-day readmission rates were higher for patients treated with
248  with very high use of health care services, readmission rates were not lower among patients randomly
249 ay-case care bundles to reduce high hospital readmission rates with greater care in the community is
250 ary family caregivers, and assess mortality, readmission rates, and economic impact compared with usu
251 s no statistically significant difference in readmission rates.
252 nces in parenteral antibiotic completion and readmission rates.
253  associated with high mortality and hospital readmission rates.
254 location and to plan interventions to reduce readmission rates.
255 ission were neurological and cardiac events; readmission reasons varied by revascularization modality
256 emote monitoring may be useful in preventing readmissions, reducing subsequent inpatient days, and co
257                                 The Hospital Readmissions Reduction Program (HRRP) has penalized hosp
258                            We started an AMI readmissions reduction program in November 2017.
259                                       An AMI readmissions reduction program that increases outpatient
260 tes since the implementation of the Hospital Readmissions Reduction Program.
261 ut potential adverse effects and efficacious readmission-reduction strategies are not well validated.
262 r early discharge is associated with patient readmissions remains controversial.
263 ted appendicitis, return to baseline health, readmission, reoperation, unplanned appendectomy, advers
264 ient mortality or live discharge, and 30-day readmission risk using bivariable Poisson, Fine-Gray, an
265                                   Thirty-day readmission risk was 18.9% (95% CI, 17.7%-20.2%), stable
266           In a multivariate analysis, 90-day readmission risk was higher among PWID who did not recei
267 y total spending on LEJR episodes and 90-day readmissions; secondary outcomes were postacute spending
268 pitalization, physician, postacute care, and readmission spending was analyzed.
269                 Primary outcomes were 30 day readmissions, surgical complications, medical complicati
270 an inform potential interventions to prevent readmissions through OPAT clinic follow-up and to furthe
271                                              Readmission to a different hospital leads to fragmentati
272                                              Readmission to hospital and/or a repeat intervention was
273 tient outcomes including hospital mortality, readmission to ICU, and length of hospital stay after IC
274                           The median time to readmission was 3 days (IQR, 1.0-4.5) for readmitted pat
275                                   Thirty-day readmission was identified through hospital billing data
276                                    Non-index readmission was independently associated with higher odd
277         For HF, overall risk-adjusted 30-day readmission was largely unchanged from 2006 to 2014 at 2
278 act of individual complications on unplanned readmission was smaller than 11%.
279                                      Patient readmission was stratified by 6 operative groups.
280  association between quality performance and readmissions was sensitive to changes in methodology but
281 ositive predictive values for 30- and 90-day readmission were 14.8% and 26.2%, respectively, and nega
282                  The most common reasons for readmission were neurological and cardiac events; readmi
283                                              Readmissions were categorised as directly related to adh
284                        Predominant causes of readmissions were changes in medication/nonadherence and
285 acteristics, contextual-level variables, and readmissions were compared by t tests for continuous var
286                       The majority of 30-day readmissions were due to post transplant complications,
287  Among patients hospitalized for SCC, 30-day readmissions were frequent throughout the month post hos
288 0.004), but differences in changes in 90-day readmissions were not significant (adjusted DID, -0.47 p
289                         ADR-related hospital readmissions were similar in both groups (2.1 and 2.2%).
290 pital stay (>75th percentile), and unplanned readmission), whereas adjusting for confounders and othe
291 s home may reduce cost, health care use, and readmissions while improving patient experience, althoug
292 alization reduced cost, health care use, and readmissions while increasing physical activity compared
293 was largely similar in both 30-day and 7-day readmission with more than 80% patients in both time per
294  the incidence, predictors, and impact of HF readmission within 1-year post-TAVR, and assessed the ef
295             The primary outcome was hospital readmission within 180 days after discharge.
296 infection have a high likelihood of death or readmission within 23 months.
297 med influenza, there is a high likelihood of readmission within 30 days and 1 year adding to the morb
298 AT clinic would reduce the risk for hospital readmission within 30 days.
299 sfully treated, defined as no ABSSSI-related readmission within 30-days after the initiation of treat
300 severe complications, mortality, and rate of readmissions within 30 days), and 1-year results (follow

 
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