Readmission patterns in patients with chronic obstructive pulmonary disease, chronic heart failure and diabetes mellitus: an administrative dataset analysis

Comprehensive disease management programmes for chronic disease aim to improve patient outcomes and reduce health-care utilization. Readmission rates are often used as an outcome measure of effectiveness. This study aimed to document readmission rates, and risk for early and late readmission, for patients discharged from the Royal Melbourne Hospital with a disease diagnosis of chronic heart failure (CHF), chronic obstructive pulmonary disease (COPD) or diabetes mellitus compared to those with other general medical conditions. Eighty five (8.6%) of patients were readmitted within 28 days and 183 (20.8%) were readmitted between 29 and 180 days. No risk factors for early readmission were identified. Patients with a primary disease diagnosis of CHF and COPD are at increased risk of late readmissions (29-180 days).     

Determinants of Early Readmission After Hospitalization for Heart Failure

Background

Determination of factors increasing the likelihood of early readmission after hospitalization for heart failure (HF) is fundamental for identifying potential targets for intervention. Thus, we studied the characteristics of patients readmitted within 7 and 30 days after hospitalization for HF in Alberta, Canada.

Methods

Using hospital discharge abstract data, we followed patients with incident HF discharged from April 2004-March 2012 and determined their readmission status within 7 and 30 days after an index hospitalization. Logistic regression was used to determine variables associated with readmission.

Results

Of 18,590 patients with HF (49.8% women; mean age 76.4 years), 5.6% were readmitted within 7 days and 18% were readmitted within 30 days. Readmission rates within 7 and 30 days increased significantly with age. Seven-day all-cause readmissions were associated with history of kidney disease (adjusted odds ratio [aOR], 1.28; 95% confidence interval [CI], 1.08-1.53), and 30-day all-cause readmissions were associated with cancer, pulmonary, liver, and kidney disease. Discharge with home care services at the time of discharge was a risk factor for readmission within 7 days (aOR, 1.26; 95% CI, 1.07-1.49) and 30 days (aOR, 1.23; 95% CI, 1.11-1.35). Discharge from a hospital with HF services was associated with lower readmission at both 7 days (aOR, 0.65; 95% CI, 0.57-0.74) and 30 days (aOR, 0.71; 95% CI, 0.65-0.77).

Conclusions

Several factors were associated with increased risk of readmission, whereas patients discharged from hospitals with HF services had a lower risk of readmission within 7 and 30 days of discharge. The interaction of provision of home care and higher early readmission deserves further study.     

Trends in and predictors of multiple readmissions following heart failure hospitalization: A National wide analysis from the United States

BackgroundReadmission following Heart failure (HF) hospitalization is common: 25% are readmitted within a month of discharge and ≈50% within 6 months. A small proportion of these patients can have multiple readmissions within this period, adding disproportionately to the health care costs. In this study, we assessed the trends, predictors and costs associated with multiple readmissions using National readmissions database (NRD).MethodsWe queried NRD for HF hospitalizations from 2010 to 2018 using ICD-9/10-CM codes. Multinomial logistic regression was used to compare readmission cohorts, with the multivariable model adjusting for other factors. All analyses accounted for the NRD sampling design were conducted using SAS v. 9.4 with p < 0.05 used to indicate statistical significance.ResultsWithin the study period, an estimated 6,763,201 HF hospitalizations were identified. Of these, 58% had no readmission; 26% had 1 readmission; and 16% had ≥2 readmissions within 90 days of index hospitalization. There was no statistically significant change in readmission rates during the observation period. Multiple readmissions which accounted for 37% of all readmissions contributed to 57% of readmission costs. Younger age was identified as a predictor of multiple readmissions while sex, comorbidities and the type of insurance were not significantly different from those with single readmission.ConclusionsMultiple readmissions in HF are common (16%), have remained unchanged between 2010 and 2018 and impose a significant health care cost burden. Future research should focus on identifying these patients for targeted intervention that may minimize excessive readmissions particularly in those patients who are in the palliation phase of HF.     

Readmissions to hospital within 30 days of discharge from the internal medicine wards in southern Israel

INTRODUCTION: Hospital readmission within a short time of discharge is a common phenomenon in internal medicine. Although there are a few reports of intensive care and surgical readmission rates there is almost no information available on the readmission rates of internal medicine patients. AIMS: To explore the medical patient readmission rate within 30 days of discharge from a medical center in southern Israel, and determine how it may be related to age, gender, diagnoses and other factors. METHODS: Chart review of all 2469 patients admitted to the departments of internal medicine of Barzilai Health Center between May 1st and July 15th 2002. A randomized control group of 87 patients was gathered from patients admitted to hospital during the study period but who were not readmitted within 30 days of discharge. RESULTS: 124 patients (5%) were readmitted. They were significantly older than controls (mean age 68.7+/-14.8 vs. 59.3+/-16.3 years), (p<0.0003), 21% being over 80 years of age (compared with 9% of controls, p<0.05) and had a lower average Functional Independence Measure (FIM). The index hospitalization of readmitted patients was significantly longer than the hospitalization of control patients (6.1+/-5.5 vs. 4.1+/-3.8 days), (p<0.04). Most patients (85%) were readmitted for the same medical reason that prompted the original hospitalization. The 15% readmitted for other reasons were older (74.9+/-12.4 vs. 67.6+/-15.0 years) (p<0.001) and had a lower Functional Independence Measure (mean FIM 4.6+/-2.2 vs. 5.7+/-1.9), (p<0.05). New immigrants (mean age 71.1+/- 12.9 years) had significantly lower readmission rate compared to the general population (3.2% vs. 4.98%), (p<0.05). Veteran Israelis, on the other hand, had a higher readmission rate than the general population (6.8% vs. 4.98%) (p<0.001). CONCLUSION: Only 5% of patients required readmission. The original hospitalization period of readmitted patients was significantly longer than controls and most readmissions were for the original medical problem for which they were readmitted originally or because of a low functional status. Hospitalized new immigrants although being older in age are less likely to require readmission, while veteran Israelis are more likely to be readmitted.     

Early readmissions to the department of medicine as a screening tool for monitoring quality of care problems

With growing awareness of medical fallibility, researchers need to develop tools to identify and study medical mistakes. We examined the utility of hospital readmissions for this purpose in a prospective case-control study in a large academic medical center in Israel. All patients with nonelective readmissions to 2 departments of medicine within 30 days of discharge were interviewed, and their medical records were carefully examined with emphasis on the index admission. Patient data were compared to data for age- and sex-matched controls (n = 140) who were not readmitted. Medical records of readmitted and control patients were blindly evaluated by 2 senior clinicians who independently identified potential quality of care (QOC) problems during the index admission. Inhospital and late mortality was determined 6 months after discharge.Over a period of 3 months there were 1988 urgent admissions; 1913 discharges and subsequently 271 unplanned readmissions occurred (14.1% of discharges). Readmissions occurred an average of 10 days after discharge, and readmitted patients were sicker than controls (mean, 4.3 vs. 3.3 diagnoses per patient), although their length of stay was similarly short (3.4 +/- 2.8 d). Analysis of all readmissions revealed QOC problems in 90/271 (33%) of readmissions, 4.5% of hospitalizations. All were deemed preventable. Interobserver agreement was good (83%, kappa = 0.67). Among matched controls, only 8/140 admissions revealed QOC problems (6%, p < 0.001) (k = 0.77). The preventable readmissions mostly involved a vascular event or congestive heart failure; they occurred within a mean of 10 +/- 8 days of the index admission, and their inpatient mortality was 6.7% vs. 1.7% among readmissions that had no QOC problems (odds ratio, 4.1; 95% confidence interval, 1.0-16.7). The main pitfalls identified during the index admission included incomplete workup (33%), too short hospital stay (31%), inappropriate medication (44%), diagnostic error (16%), and disregarding a significant laboratory result (12%). In many patients more than 1 pitfall was identified (mean, 1.5 per patient). Risk factors for preventable readmission include older age and living in an institution (p < 0.05). Almost two-thirds of the readmitted patients with QOC problems were discharged after spending 2 days or fewer at the hospital. In conclusion, unplanned readmissions within 30 days of discharge are frequent, more prevalent in sicker patients, and possibly associated with increased mortality. In a third of readmitted patients a QOC problem can be identified, and these problems are preventable. Thus, readmission may be used as a screening tool for potential QOC problems in the department of medicine. Routine monitoring of all readmissions may provide a simple cost-effective means of identifying and addressing medical mistakes.     

Readmissions and adverse drug reactions in internal medicine: the economic impact

BACKGROUND: Recent studies show that nearly half of the hospitalized patients are readmitted within 6 months from discharge. No data exist about the relationship between adverse drug reactions (ADRs) and readmittance to a department of internal medicine. OBJECTIVES: The primary aims of the study were to determine if ADRs could be used as predictors for recurrent hospitalizations in internal medicine and to evaluate the economic impact of ADRs on hospitalization costs. DESIGN AND SETTING: A cohort-based, prospective, 18-month pharmacoepidemiological survey was conducted in the Department I of Internal Medicine at the University Hospital of Erlangen. All patients were intensively monitored for ADRs by a pharmacoepidemiological team. ADRs were evaluated for their offending drugs, probability, severity, preventability and classified by WHO-ART. During a 6-month period ADR-positive patients were matched to non-ADR patients applying diagnosis-related group categorization in order to measure the impact of ADRs on the duration and frequency of hospitalization. RESULTS: Of 1000 admissions 424 patients had single admissions and 206 patients had recurrent readmissions (min 1, max 9). The prevalence of readmissions was 37% (n = 370). In 145 (23%) of 630 patients, 305 ADRs were observed. The ADR incidence was similar in first admissions and readmissions. ADRs were not found to predict further readmissions and lack of ADRs did not preclude readmissions. ADRs caused hospitalizations in 6.2% of first admissions and in 4.2% of readmissions. According to the Schumock algorithm 135 (44.3%) ADRs were found to be preventable. The occurrence and numbers of ADRs per admission were found to prolong hospitalization period significantly (r = 0.48 and 0.51, P < 0.001, n = 135). Of 9107 treatment days 20% were caused by in-house (1130 days) and community-acquired ADRs (669 days). In admissions and readmissions 11% (>973 days) of all treatment days were judged to be preventable. CONCLUSIONS: Intensified drug monitoring supported by information technology in internal medicine is essential for early detecting and prevention of ADRs and saving hospital resources.     

Impact of race on health care utilization and outcomes in veterans with congestive heart failure

OBJECTIVES: The objectives of this study were to determine racial differences in mortality in a national cohort of patients hospitalized with congestive heart failure (CHF) within a financially "equal-access" healthcare system, the Veterans Health Administration (VA), and to examine racial differences in patterns of healthcare utilization following hospitalization. BACKGROUND: To explain the observed paradox of increased readmissions and lower mortality in black patients hospitalized with CHF, it has been postulated that black patients may have reduced access to outpatient care, resulting in a higher number of hospital admissions for lesser disease severity. METHODS: In a retrospective study of 4,901 black and 17,093 white veterans hospitalized with CHF in 153 VA hospitals, we evaluated mortality at 30 days and 2 years, and healthcare utilization in the year following discharge. RESULTS: The risk-adjusted odds ratios (OR) for 30-day and 2-year mortality in black versus white patients were 0.70 (95% confidence interval [CI] 0.60 to 0.82) and 0.84 (95% CI 0.78 to 0.91), respectively. In the year following discharge, blacks had the same rate of readmissions as whites. Blacks had a lower rate of medical outpatient clinic visits and a higher rate of urgent care/emergency room visits than whites, although these differences were small. CONCLUSIONS: In a system where there is equal access to healthcare, the racial gap in patterns of healthcare utilization is small. The observation of better survival in black patients after a CHF hospitalization is not readily explained by differences in healthcare utilization.     

Hospital Readmissions: Physician Awareness and Communication Practices

Background  Patients requiring early hospital readmission may be readmitted to different physicians, potentially without the knowledge of the prior caregivers. This lost opportunity to share information about readmitted patients may be detrimental to quality of care and resident education. Objective  To measure physician awareness of and communication about readmissions. Design  Cross-sectional study. Setting  Two academic medical centers. Participants  A total of 432 patients discharged from the general medicine services and readmitted within 14 days. Measurements  We identified patients discharged from the general medicine services and readmitted within 14 days, excluding patients readmitted to the same physician(s) and planned readmissions. We surveyed discharging and readmitting physicians 48 h after the time of readmission. Results  Discharging physician teams were aware of 48.5% (95% CI 41.5%-55.5%) of patient readmissions. Communication between teams occurred on 43.7% (95% CI 37.1%-50.3%). Higher medical complexity was associated with an increased likelihood of physician communication (adjusted OR 1.12, 95% CI 1.06–1.19). When communication occurred, readmitting physicians received information about the discharging team’s overall assessment (61.9%, 95% CI 51.9%-71.9%), psychosocial issues (52.6%, 95% CI 42.4%-62.8%), pending tests (34.0%, 95% CI 24.2%-43.8%), and discharge medications (30.9%, 95% CI 21.5%-40.3%). When communication did not occur, most physicians (60.8%, 95% CI 56.7%-64.9%) responded it would have been desirable to communicate. Conclusions  Physicians are frequently unaware of patient readmissions and often do not communicate when readmissions occur. This communication is often desired and frequently results in the exchange of important patient information. Further work is needed to design systems to address this potential discontinuity of care.     

Readmission following pancreatectomy: what can be improved?

Background: Readmissions after pancreatectomy, largely for the management of complications, may also occur as a result of failure to thrive or for diagnostic endeavours. Potential mechanisms to reduce readmission rates may be elucidated by assessing the adequacy of the initial disposition and the real necessity for readmission.Methods: Using previously identified categories of readmission following pancreatectomy, details of reasons for and results of readmissions were scrutinized using a root cause analysis approach.Results: Of 658 patients subjected to pancreatectomy between 2001 and 2010, 121 (18%) were readmitted within 30 days. The clinical course in 30% of readmitted patients was found to deviate from the pathway assumed on the initial admission. Patients were readmitted at a median of 9 days (range: 1–30 days) after initial discharge and had a median readmission length of stay of 7 days (mode = 4). Postoperative complications accounted for most readmissions (n = 77, 64%); 17 patients (14%) were readmitted for failure to thrive and 16 (13%) for diagnostics. Root cause analysis detailed subtextual reasons for readmission, including, for example, the initiation of new medications that could potentially have been ordered in an outpatient setting.Conclusions: More than one quarter of readmissions after pancreatectomy occurred in the setting of failure to thrive or for diagnostic evaluation alone. Root cause analysis revealed potentially avoidable readmissions. The development of a system for stratifying patients at risk for readmission or the failure of the initial disposition, along with an alternative means of efficiently evaluating patients in an outpatient setting, could limit unnecessary readmissions and resource utilization.     

Incidence and predictors of 30-day readmissions in patients hospitalized with chronic pancreatitis: A nationwide analysis

Background

Patients with chronic pancreatitis are prone to frequent readmissions. The aim of this study is to evaluate the rate and predictors of 30-day readmissions in patients with chronic pancreatitis using the Nationwide Readmission Database (NRD).

Hospital readmission for adult acute sickle cell painful episodes: frequency, etiology, and prognostic significance

The acute sickle cell painful episode is the most common cause of hospitalization of patients with sickle cell anemia. Its detailed clinical features and peri-discharge features are not well known. In order to determine the actual pattern of hospital admissions of patients with SS and the causes of frequent hospital readmissions and their prognostic significance, we conducted a prospective longitudinal and observation cohort study of all adult patients with sickle cell anemia admitted to Thomas Jefferson University Hospital between January 1998 and December 2002. Major outcome measures included the frequency, etiology, and prognostic significance of readmissions to the hospital within 1 week and 1 month after discharge. Incidence of mortality among patients during the study period was also determined. Analysis of the data showed that about 50% of hospital admissions for acute painful episodes were readmitted within 1 month after discharge, and about 16% of all admissions were within 1 week after discharge. The intensity of pain score decreased significantly during the first 4 days of hospital admission (P < 0.001) and then reached a plateau until discharge. The mean score of pain intensity was >7 throughout the hospital stay. Causes of hospital readmission included premature discharge, withdrawal syndrome, and recurrence of new acute episodes. Readmission within 1 week after discharge was associated with higher mortality than otherwise. This study shows that hospital readmission of adult patients with sickle cell anemia is common. It suggests that improvement is needed in the management of pain during hospitalization and at home after discharge. Patients who are readmitted frequently within 1 week of discharge have poor prognosis and require careful monitoring.     

Risk factors associated with 30-day asthma readmissions

Objectives: Assess factors that increase the odds of 30-day asthma readmissions to hospitals. Methods: Retrospective chart review between 1/1/2002 to 12/31/2012 of pediatric and adult patients with the primary diagnosis of asthma readmitted within 30 days after the index admission was performed. Patients were identified from billing database for asthma ICD 9 code (493.9). Inclusion criteria were: physician confirmed asthma diagnosis, one or more asthma admissions and accessible medical records. Results: A total of 95 patients with multiple asthma readmissions were included in the final analysis. Thirty-seven patients (39%) were readmitted for asthma within 30 days and 58 patients (61%) had readmission in a 30–365-day period. Demographic characteristics were not significantly different between groups. Bivariate analysis showed that factors associated with higher likelihood of readmissions were a higher frequency of previous admissions, ED visits, inpatient hospitalizations, ICU stays, intubations, chest X-rays, history of chronic sinusitis, gastroesophageal reflux disease, anxiety, and the use of tiotropium or a long-acting beta-agonist (LABA). Multivariable analysis confirmed that prior hospital admissions and a history of GERD are the strongest predictive factors for early asthma readmissions, yet a history of environmental allergies might be a protective factor (p = 0.053). Conclusions: Non-allergic asthma patients with multiple prior admissions, ED visits and inpatient hospitalizations, on multiple medications with history of GERD, sinusitis, and anxiety are more likely to be readmitted within 30 days irrespective of other factors. Patients with these characteristics should be assessed for interventions in an effort to reduce early readmissions.     

Early readmission of elderly patients with congestive heart failure

Repetitive hospitalizations are a major health problem in elderly patients with chronic disease, accounting for up to one fourth of all inpatient Medicare expenditures. Congestive heart failure, one of the most common indications for hospitalization in the elderly, is also associated with a high incidence of early rehospitalization, but variables identifying patients at increased risk and an analysis of potentially remediable factors contributing to readmission have not previously been reported. We prospectively evaluated 161 patients 70 years or older that had been hospitalized with documented congestive heart failure. Hospital mortality was 13% (n = 21). Among patients discharged alive, 66 (47%) were readmitted within 90 days. Recurrent heart failure was the most common cause for readmission, occurring in 38 patients (57%). Other cardiac disorders accounted for five readmissions (8%), and noncardiac illness led to readmission in 21 cases (32%). Factors predictive of an increased probability of readmission included a prior history of heart failure, four or more admissions within the preceding 8 years, and heart failure precipitated by an acute myocardial infarction or uncontrolled hypertension (all P less than .05). Using subjective criteria, 25 first readmissions (38%) were judged possibly preventable, and 10 (15%) were judged probably preventable. Factors contributing to preventable readmissions included noncompliance with medications (15%) or diet (18%), inadequate discharge planning (15%) or follow-up (20%), failed social support system (21%), and failure to seek medical attention promptly when symptoms recurred (20%). Thus, early rehospitalization in elderly patients with congestive heart failure may be preventable in up to 50% of cases, identification of high risk patients is possible shortly after admission, and further study of nonpharmacologic interventions designed to reduce readmission frequency is justified.     

Readmissions after colorectal surgery cannot be predicted

INTRODUCTION: Readmission after discharge from the hospital is an undesirable outcome. In an attempt to prevent unplanned readmissions after abdominal or perineal colon resection, we proposed to identify risk factors associated with return to the hospital. METHODS: Study participants consisted of 249 patients who were operated on from July 1, 1996, to March 30, 1998. All patients who were readmitted within 90 days of discharge from the hospital after surgery were evaluated for the study. A retrospective review of charts was performed to assess whether readmission within 90 days was a direct consequence of the recent operation (unplanned related readmission). These patients were compared with a control group consisting of patients who were never readmitted or who were readmitted with an unrelated problem. RESULTS: Of the 249 patients, 59 (24 percent) were readmitted within 90 days of discharge from the hospital. Twenty-two (9 percent) were unplanned related readmissions. Ten patients were readmitted with unrelated emergencies, and 27 patients were readmitted electively. In the unplanned related group, there was no correlation between age, gender, admission diagnosis, activity status, or postoperative length of stay and the likelihood of readmission. Patients with multiple chronic medical problems or those who developed postoperative complications did not have a higher readmission rate. Patients with ulcerative colitis or those who underwent abdominoperineal resection or total/subtotal colectomy had a higher incidence of readmissions, although the difference was not significant. The mean interval between discharge from the hospital and readmission with a related complication was 19 days. Small-bowel obstruction was the most common reason for readmission, and all cases resolved with conservative management. Mean length of stay during all readmissions was 8 days. CONCLUSION: The incidence of unplanned related readmissions 90 days after abdominal or perineal colon resection is 9 percent, and these readmissions could not be predicted from the postoperative course. Because 82 percent of unplanned readmissions occurred within 30 days, this time frame is suitable for computerized comparative analysis.     

Incidence,Clinical Presentation,and Causes of 30-Day Readmission Following Hospitalization With Spontaneous Coronary Artery Dissection

ObjectivesThe aim of this study was to investigate the impact of spontaneous coronary artery dissection (SCAD) on 30-day readmission rates following hospitalization with acute myocardial infarction (AMI) using a national database.BackgroundAMI in the setting of SCAD represents an uncommon type of myocardial infarction with limited data on short-term outcomes.MethodsAll hospitalizations with primary or index diagnoses of AMI from 2010 to 2015 in the Nationwide Readmissions Database were queried. The primary outcome was overall 30-day readmission rates in both SCAD and non-SCAD cohorts. Propensity score matching (1:2) was conducted.ResultsA total of 2,654,087 patients with AMI were included in the final analysis, of whom 1,386 (0.052%) were diagnosed with SCAD. SCAD was associated with a higher readmission rate in the SCAD cohort (12.3% vs. 9.9%; p = 0.022). The main causes of readmissions in the SCAD cohort were cardiac causes (80.6%), and AMI was the most common cardiac cause (44.8%), followed by chest pain (20.1%) and arrhythmia (12.7%). Among the SCAD readmissions, 50.6% patients were readmitted in the first week post-discharge, with 54.5% of AMI readmissions occurring in the first 2 days post-discharge.ConclusionsThe incidence of 30-day readmission following AMI and SCAD is nontrivial and occurs early post-discharge. Most readmissions are due to cardiac causes, especially AMI. Targeted management approaches are needed to diminish the high rates of readmission and early recurrent AMI.     

Unplanned readmissions of patients with congestive heart failure: do they reflect in-hospital quality of care or patient characteristics?

PURPOSE: To determine if early unplanned readmissions of patients hospitalized for heart failure are associated with suboptimal in-hospital care or with the clinical and demographic characteristics of the patient. SUBJECT AND METHODS: We performed a case-control study among patients discharged with a principal diagnosis of heart failure. Cases included all patients unexpectedly readmitted within 31 days of discharge; controls were randomly selected from among those not readmitted. Quality of care was measured using explicit criteria reflecting the admission work-up, evaluation and treatment, and readiness for discharge. RESULTS: Ninety-one cases and 351 controls were included. There was no significant association between early unplanned readmissions and the scores for quality of the admission work-up or evaluation and treatment during the stay. There was a significant association between readiness for discharge and subsequent early readmission: for each 10% decrease in the proportion of fulfilled criteria, the odds of readmission increased by 14% (95% confidence interval [CI] 1. 01 to 1.28, P = 0.04) for all-cause readmissions and by 19% (95% CI: 1.04 to 1.36, P = 0.01) for heart-failure-related readmissions. In a multiple logistic regression model, previous diagnosis of heart failure (odds ratio [OR] = 2.9, 95% CI: 1.7 to 4.8, P <0.001), age (OR = 3.3, 95% CI: 1.3 to 8.5, P = 0.01 for patients aged 65 to 79 years and OR = 4.1, 95% CI: 1.6 to 11, P = 0.004 for patients aged 80 years and older), and history of cardiac revascularization (OR = 2.1, 95% CI: 1.2 to 3.9, P = 0.01) showed a stronger association with early unplanned all-cause readmissions than the readiness-for-discharge score (OR = 1.16, 95% CI: 1.02 to 1.31, P = 0.02). Similar findings were seen for heart failure-related readmissions. CONCLUSIONS: Among patients with heart failure, early unplanned readmissions were not associated with suboptimal admission work-up or evaluation and treatment but were weakly associated with readiness for discharge. However, they were strongly associated with the patients' clinical and demographic characteristics.     

Preventability of emergent hospital readmission

To determine whether emergent readmissions within 30 days of discharge are potentially preventable, we prospectively studied all readmissions to the medical service of a university teaching hospital during a 4-month period. The 327 readmissions, including 42 patients who were readmitted more than once during the study period, accounted for 12% of medical admissions. Nearly 75% of readmissions were due to previously diagnosed medical conditions; complications of drugs or therapeutic procedures caused 29%, and patient compliance contributed to 11%. Three reviewers judged 28 (9%) readmissions to be potentially preventable. These 28 readmissions constituted 1% of all admissions to the medical service and did not result in any fatalities, indicating that the quality of care was generally very good. One third of the potentially preventable readmissions were thought to be related to medical system failures, one third to an unfulfilled hope that the patient would improve after discharge, and one third to other suboptimal judgements in evaluation or treatment. Of the 28 potentially preventable readmissions, 89% occurred within 10 days of discharge. We conclude that potentially preventable readmissions would nearly always be detected by review of readmissions within 10 days of discharge and that many may be amenable to systematic interventions such as standardized predischarge assessment and better coordination of post-discharge follow-up.     

Quality of care and hospital readmission in congestive heart failure: An explicit review process

BACKGROUND: The effect of hospital quality of care on hospital readmission for patients with congestive heart failure (CHF) has not been widely studied. METHODS AND RESULTS: We examined the effects of clinical factors, hospital quality of care, and cardiologist involvement on 3-month readmission rates in patients with CHF by using a 125-item explicit review instrument comprising 3 major domains: admission work-up, evaluation and treatment, and readiness for discharge. During the 3 months after discharge, 59 (30%) of 205 patients were readmitted for CHF. The average evaluation and treatment score was lower for readmitted patients (63% v 58%; P = .04). The specific quality criteria differing between patients readmitted or not readmitted included the performance of any diagnostic evaluation, performance of echocardiography in patients with unknown ejection fraction or suspected valvular disease, and therapy with an angiotensin-converting enzyme inhibitor on discharge. Patients with 相似文献   

Receiving early mobility during an intensive care unit admission is a predictor of improved outcomes in acute respiratory failure

IntroductionHospitals are under pressure to provide care that not only shortens hospital length of stay but also reduces subsequent hospital admissions. Hospital readmissions have received increased attention in outcome reporting. The authors identified survivors of acute respiratory failure who then required subsequent hospitalization. A cohort of acute respiratory failure survivors, who participated in an early intensive care unit (ICU) mobility program, was assessed to determine if variables from the index hospitalization predict hospital readmission or death, within 12 months of hospital discharge.MethodsHospital database and responses to letters mailed to 280 acute respiratory failure survivors. Univariate predictor variables shown to be associated with hospital readmission or death (P < 0.1) were included in a multiple logistic regression. A stepwise selection procedure was used to identify significant variables (P < 0.05).ResultsOf the 280 survivors, 132 (47%) had at least 1 readmission or died within the first year, 126 (45%) were not readmitted and 22 (8%) were lost to follow-up. Tracheostomy [odds ratio (OR), 4.02 (95%CI, 1.72-9.40)], female gender [OR, 1.94 (95%CI, 1.13-3.32)], a higher Charlson Comorbidity Index assessed upon index hospitalization discharge [OR, 1.15 (95%CI, 1.01-1.31)] and lack of early ICU mobility therapy [OR, 1.77 (95%CI, 1.04-3.01)] predicted readmission or death in the first year postindex hospitalization.ConclusionsTracheostomy, female gender, higher Charlson Comorbidity Index and lack of early ICU mobility were associated with readmissions or death during the first year. Although the mechanisms of increased hospital readmission are unclear, these findings may provide further support for early ICU mobility for patients with acute respiratory failure.