[Readmissions among patients receiving parenteral antibiotic therapy at home].
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Anti-Bacterial Agents↗
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The path to improved results. A Colorado hospital uses clinical decision support tools to lower LOS and its rate of unplanned readmissions and patient complications.
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Colorado↗
Readmission of patients to the surgical intensive care unit: patient profiles and possibilities for prevention.
Because experience is lacking regarding the profile of patients readmitted to a surgical ICU (SICU), we retrospectively reviewed total admissions, readmissions, patient profiles, and characteristics of illness requiring readmission to a multidisciplinary SICU. During a 1-yr period, the 721 recorded admissions included 68 readmissions for 57 patients (9.4% of the total). Eight patients had multiple readmissions. Seventy-five percent of the original admissions in these 57 patients occurred postoperatively, 9% were due to trauma, and 16% were caused by nonsurgical illness. Mortality for readmitted patients was 26%. Although 53 (78%) discharges were deemed appropriate, 62% of the patients manifested one or more of a retrospectively selected group of warning signs which might have alerted the responsible physician to alter the treatment plan. In half of these patients the reason for readmission was related to the warning sign. Readmission was related to the original disease in 65% of the incidents, while a new patient problem initiated readmission in 38%. The most common new problems were cardiopulmonary insufficiency and infection. All but one patient readmitted with pulmonary problems displayed retrospective evidence of clear warning signs before the original discharge. Recognition of SICU readmission patterns will allow more precise discharge planning: to delay discharge, to effect a lateral transfer, or to initiate a stepdown unit which may be able to help prevent costly and potentially lethal patient outcomes.
Adolescent↗
Probable alcohol abuse or dependence: a risk factor for intensive-care readmission in patients undergoing elective vascular and thoracic surgical procedures. Mayo Perioperative Outcomes Group.
OBJECTIVE: To determine whether alcohol abuse or dependence is a risk factor for perioperative complications, increased duration of hospital stay, and increased utilization of nursing resources in patients undergoing thoracic and vascular surgical procedures. MATERIAL AND METHODS: We conducted a prospective study of all adult patients who underwent an elective vascular or thoracic surgical procedure and who received postoperative care in an intensive-care setting. Patients were screened for alcohol abuse or dependence, and actual versus expected durations of stay were evaluated. The patients' medical records were reviewed for preoperative comorbidities and perioperative complications. Fisher's exact test and the rank sum test were used in the analyses. RESULTS: Of 321 study subjects, 290 were classified as nonalcoholic and 31 as probable alcoholic patients. Patients in the probable alcohol abuse group had a significantly increased rate of alcohol withdrawal (12.9% versus 1.7%; P = 0.006) in comparison with patients in the nonalcoholic group. Patients in the probable alcohol abuse group were readmitted to an intensive-care unit more frequently (19.4% versus 7.9%; P = 0.047) and required sedation more often (32.3% versus 13.5%; P = 0.014) than those in the nonalcoholic group. No significant differences were found between the two study groups in intensive-care unit and hospital durations of stay or in utilization of nursing resources. A dismissal diagnosis of alcoholism was recorded for only one of four patients who had a documented withdrawal episode among those categorized in the probable alcoholic group and for three of five patients with alcohol withdrawal symptoms categorized in the nonalcoholic group. CONCLUSION: Except for the occurrence of alcohol withdrawal syndrome, study patients classified in the probable alcohol abuse group did not have more medical or surgical perioperative complications than patients in the nonalcoholic group. They did have significantly more intensive-care setting readmissions. Patients with documented alcohol withdrawal episodes frequently were dismissed without a diagnosis of substance abuse or dependence.
APACHE↗
Predictors of cause-specific hospital readmission in patients with heart failure.
BACKGROUND: Repeated hospital readmissions are frequent and increasing over time in patients with heart failure (HF). The predictors for readmission in patients with HF are not completely understood. HYPOTHESIS: The study was undertaken to investigate the time course of readmission by specific cause in patients with HF, and to examine the independent effects of HF etiology and left ventricular (LV) function on cause-specific readmissions. METHODS: A retrospective cohort of 493 consecutive patients with HF was followed for readmission for 16.5 +/- 12.3 months. Ischemic etiology of HF was defined as history of myocardial infarction (MI), coronary artery bypass graft (CABG), percutaneous transluminal coronary angioplasty (PTCA), or > or = 70% coronary stenosis. Left ventricular function was assessed echocardiographically. Cause-specific readmissions were classified as HF, cardiovascular disease (CVD) other than HF, and other non-CVD. RESULTS: The annual readmission rate was 56.6%. Median time to readmission was 91 days, with 18.3% patients readmitted within 1 month after discharge. Ischemic etiology independently predicted all-cause readmission: Cox hazard ratio (95% confidence interval): 1.40 (1.11-1.79). This relationship was significant in women (1.83 [1.31-2.55]), but not in men (1.15 [0.82-1.62]), while readmissions were equally frequent in both genders. Similarly, ischemic etiology significantly predicted readmission for CVD in women (4.18 [2.14-8.19]), but not in men (1.49 [0.83-2.67]). However, LV dysfunction independently predicted readmission for recurrent HF (2.44 [1.46-4.08]), while ischemic etiology was not predictive in either gender. CONCLUSIONS: Readmissions for recurrent HF comprise only one-third of total hospital readmissions in patients with HF. Ischemic etiology is a significant predictor of readmission, and most of this effect is mediated through a four-fold increased risk of readmission for CVD other than HF in women. Readmission for recurrent HF is predicted by LV dysfunction but not by ischemic etiology. Patients with HF can be accurately risk stratified for cause-specific readmission with available clinical data.
Aged↗
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.
Aged↗
Impact of the clinical pharmacist on readmission in patients with acute coronary syndrome.
BACKGROUND: Previous studies have reported a positive impact of pharmacists on care of patients with chronic illnesses. The impact of the clinical pharmacist on hospital readmission in patients with acute coronary syndromes (ACS) has yet to be evaluated, as of this writing. OBJECTIVE: To evaluate the impact of the clinical pharmacist as a direct patient-care team member on cardiac-related readmission in patients admitted to the general cardiology unit with ACS. METHODS: A prospective, nonrandomized observational study compared patients who received standard practice care with patients admitted to a service with a clinical pharmacist to provide care at the bedside. Patients admitted to and discharged from the general cardiology unit for ACS were included. The primary endpoint of the study was cardiac-related readmission at 30 days following hospital discharge. Secondary endpoints included length of stay and medication utilization. Interventions provided by the clinical pharmacist in the study group were documented. RESULTS: Cardiac readmission at 30 days was similar between the groups (p = 0.59). In the subset of patients with unstable angina, readmission in the study group was significantly lower than in the control group (1.3% vs 9.1%; p = 0.04). Patients in both groups were similarly managed using drug therapy and invasive coronary interventions. The medical staff's rate of acceptance of recommendations provided by the pharmacist was 94.4%. The most common interventions were medication education and identification of indicated therapy. CONCLUSIONS: The addition of pharmacists did not decrease readmission in patients with ACS. The finding of significant reduction in readmission in the subset of patients with unstable angina should be considered "hypothesis generating" for future randomized studies to confirm the results.
Acute Disease↗
Risk factors for hospital readmission in patients with chronic obstructive pulmonary disease.
BACKGROUND: Hospital readmissions for acute exacerbation of chronic obstructive pulmonary disease (COPD) are one of the leading causes of health care expenditures worldwide. OBJECTIVES: To identify risk factors for hospital readmission in COPD patients. METHODS: We prospectively evaluated 129 consecutive patients hospitalized for acute exacerbation of COPD. Clinical, spirometric and arterial blood gas variables were measured during hospitalization. Socioeconomic characteristics, comorbidity, dyspnea, functional dependence, depression, social support and quality of life were also analyzed. Readmission was defined as one or more hospitalizations in the following year. RESULTS: During the follow-up period, 75 (58.5%) patients were readmitted. In bivariate analysis, readmission was associated with previous hospitalization for COPD in the past year, dyspnea scale, PaCO(2) at discharge, depression, cor pulmonale, chronic domiciliary oxygen and quality of life measured by the St. George's Respiratory Questionnaire. In multivariate analysis, the best predictor of readmission was the combination of hospitalization for COPD in the previous year (odds ratio, OR: 4.27; 95% confidence interval, CI: 1.5-12), the total score of the St. George's Respiratory Questionnaire >or=50 points (OR: 2.36; 95% CI: 1.03-5.04) and PaCO(2) at discharge >or=45 mm Hg (OR: 2.18; 95% CI: 0.84-5.06). With this model, the probability of readmission for patients without any of these variables was 7%, while it was 70% for the patients with all three variables present. CONCLUSION: The combination of quality of life, hospitalization for COPD in the previous year and hypercapnia at discharge are useful predictors of readmission at 1 year.
Aged↗
Hospital readmission in patients with implantable cardioverter-defibrillators.
INTRODUCTION: Hospital readmissions are one of the important problems of patients with implantable cardioverter-defibrillators (ICD). Detailed analysis of the causes of re-hospitalizations may lead to improved management of ICD patients and eventually limit the number of hospital readmissions. AIM: Prospective analysis of repeat hospitalisations, their causes and time from discharge to first hospital readmission in a group of patients after ICD implantation. A search for predictors of rehospitalisation was also performed. METHODS: Analysis involved 133 consecutive patients who underwent ICD implantation in the Department of Cardiology, PAM. Readmission causes were split into cardiac and non-cardiac. An index of repeat hospitalisation was calculated and parameters with a direct impact on rehospitalisation necessity were also evaluated. RESULTS: One hundred and sixty-seven hospital readmissions of 72 (54%) patients were noted at mean 22+/-15 months after the primary hospitalisation. Rehospitalisation index per patient for the total follow-up period was 1.26, while for the first year of follow-up it was 0.69. In the case of 42 (32%) patients, 91 (54.5%) hospital readmissions were associated with arrhythmia. In 34 (25.6%) patients, 54 (32.3%) re-hospitalizations were not related to arrhythmia, while 20 (15%) patients were hospitalised 22 times (13.2%) for non-cardiac reasons. Mean time to the first readmission, regardless of the reason, was 9+/-9 months. Predominant causes of repeat hospitalisation were ventricular arrhythmias and worsening of heart failure. Patients with left ventricular ejection fraction (LVEF) below 30% and in functional NYHA class III were readmitted to hospital more frequently for reasons not related to arrhythmia. CONCLUSIONS: Hospital readmissions for cardiac causes in patients after ICD implantation are still frequent. Most of them are caused by ventricular arrhythmia and heart failure. Low LVEF (<30%) and NYHA functional class > or =III are risk factors predicting repeat hospitalisations unrelated to arrhythmia.
Adult↗
Predicting emergency readmissions for patients discharged from the medical service of a teaching hospital.
Emergency readmissions among patients discharged from the medical service of an acute-care teaching hospital were analyzed. Using the multivariate technique of recursive partitioning, the authors developed and validated a model to predict readmission based on diagnoses and other clinical factors. Of the 4,769 patients in the validation series, 19% were readmitted within 90 days. Twenty-six per cent of the readmissions occurred within ten days of discharge, and 57% within 30 days. Readmitted patients were older, had longer hospitalizations, and had greater hospital charges (p less than 0.01). The discharge diagnoses of AIDS, renal disease, and cancer were associated with increased risks of readmission regardless of patients' demographics or test results. The relative risks (95% confidence interval) associated with these diagnoses were: AIDS, 3.3 (1.4-7.8); renal disease, 2.3 (1.7-3.0); cancer, 2.8 (2.4-3.4). Other patients at increased risk were those with diabetes, anemia, and elevated creatinine (2.1; 1.6-2.8) and those with heart failure and elevated anion gaps (2.2; 1.7-2.8). For patients without one of these diagnoses, a normal albumin and no prior admission within 60 days identified patients at reduced risk for readmission (0.4; 0.3-0.4). Thus, commonly available clinical data identify patients at increased risk for emergency readmission. Risk factor profiles should alert physicians to these patients, as intensive intervention may be appropriate. Future studies should test the impacts of clinical interventions designed to reduce emergency readmissions.
Emergency Medical Services↗
[Predictive factors of unplanned hospital readmission in patients discharged at a short stay medical unit].
AIMS: To determine the independent factors that predict unplanned hospital readmission in patients who are admitted to a Short-Stay Medical Unit (SSMU). DESIGN AND FIELD OF THE STUDY: Prospective cohort. Sanitary area: 500,000 inhabitants. SUBJECTS: Patients who survived to an hospital admission in the SSMU of our hospital (n = 196, a = 0.05, d = 7). METHODS: We studied demographic variables, social situation, history of previous admissions to hospital, from each patient. From the index admission we included diagnosis, severity of the disease, complications, type of admission and co-morbility. Validated tests were done to measure functional capability, grade of dependence and psychologic situation. After a three month interval readmission was determined if there had been an urgent admission to any hospital in a 10-day, 28-day or 3-month interval after discharge caused by the same principal diagnosis. A descriptive analysis of the variables was made, and a univariate analysis to stablish their association to readmission. The predicting factors for readmission were calculated by means of logistic regression. RESULTS: The 60.2% were males, the median of the age was 72 years. 75% started or carried out only primary school; 40% were single, separated or widowed; 12% lived alone and 1.5% in an institution. Principal diagnosis at the time of index admission were: chronic obstructive pulmonary disease, congestive cardiac failure, ischemic heart disease, asthma, pneumonia, cardiac arrhythmia and acute cerebrovascular disease. Readmission rate at 10, 28 days and 3 months was 3.6%, 9.7% and 13.3%, respectively. The independent predicting factor for readmission in the 10 days interval from discharge was the number of days of hospitalization in the last year (OR: 1.02, 95% CI: 1.0-1.05). For readmission in a 28-day and 3-month interval from discharge, the only independent predicting factor was the number of admissions to any hospital in the last 3 years (OR: 1.71, 95% CI: 1.32-2.22 and OR: 1.62, 95% CI: 1.28-2.05 respectively). CONCLUSIONS: From the studied factors, those that predict unplanned hospital readmission of patients discharged from a Short-Stay Medical Unit cannot be modified.
Adolescent↗
Hospital readmission in patients treated with tiered-therapy implantable defibrillators.
BACKGROUND: We wished to determine the incidence, reasons, costs, and predictors of cardiac-related hospital readmission in patients with tiered-therapy implantable defibrillators. Hospital readmission in patients with defibrillators reduces their quality of life and increases the cost associated with such therapy. METHODS AND RESULTS: We retrospectively studied 65 consecutive local patients (median age, 67 years; median ejection fraction, 0.34) who underwent tiered-therapy defibrillator implantation at this institution. Patients were followed for a median of 19 months (interquartile range, 10 to 27 months). The cause, duration, costs, and predictors of cardiac-related rehospitalizations were analyzed. There were 76 cardiac admissions for 34 patients. The rate of cardiac-related hospital readmission was 0.72 per patient-year of follow-up. Arrhythmia-related admissions accounted for 43 of such admissions in 24 patients. Actuarial freedom from cardiac-related admissions was 0.57 and 0.40 at 1 and 2 years, respectively. The median length of stay for hospital readmissions was 5 days (interquartile range, 3 to 8 days). The median cost per admission was $5842 (interquartile range, $3549 to $12 170). The time to first readmission and the total rehospitalization time per year of follow-up were associated with a poor preimplant New York Heart Association functional class. Readmission for cardiac arrhythmias was not predicted by clinical parameters. CONCLUSIONS: Rehospitalization for cardiac reasons is common in patients receiving implantable defibrillators and is responsible for substantial resource consumption. The need for readmission for arrhythmia-related reasons cannot be predicted by clinical parameters at the time of device implantation.
Aged↗
Evidenced-based factors in readmission of patients with heart failure.
The purpose of this project was to organize the variables associated with the hospital readmission of patients with heart failure (HF) into a usable framework to inform clinical practice and facilitate administrative decision making. An integrated, systematic review of the literature was used as the research approach. A content analysis of the sample (31 research reports from the years 1986-2004) yielded multiple factors associated with the hospital readmission of HF patients. Factors and their definitions were extracted, grouped into like categories, and eventually classified into 5 domains-demographic, physiologic, psychosocial, patient functioning, and resource utilization. The resulting framework has clinical, research, and administrative implications in the delivery of care to HF patients.
Activities of Daily Living↗
[Psychosocial factors associated with hospital readmission of patients with organic psychoses].
OBJECTIVE: To assess the relationship between psychosocial factors, frequent relapses and hospital readmissions in patients with organic psychoses. MATERIAL AND METHODS: A cross-sectional descriptive study was conducted among 33 patients diagnosed with organic psychosis, seen at Hospital Psiquiatrico Guillermo Dávila, of Instituto Mexicano del Seguro Social in Mexico City. Patients had been readmitted more than two occasions during 1993-1994. Data collection instruments consisted of recorded interviews, five-minute dialogues of expressed emotions (EE), and combined questionnaires to assess perception of illness and the physician-patient relationship. The Kappa statistic and Cronbach's alpha were used to establish the validity and reliability of the measurements; descriptive and inferential methods were used for statistical data analysis. RESULTS: A high percentage (60.9%) of patient's relatives showed high level of EE, as measured by their expression of criticism, hostility, or emotional over-involvement; 64.3% of study subjects lived for more than 35 hours per week with relatives having high EE levels. CONCLUSIONS: High EE levels were associated with frequent readmissions to the psychiatric ward. Greater perception of illness characteristics was observed among relatives than in patients. Even though a satisfactory physician-patient relationship was found, it was not conducive to improving the perception of illness nor compliance with therapy.
Adolescent↗
Nutrition identified as a risk factor for elderly Medicare patients' hospital readmission.
A retrospective chart review of Medicare patients was conducted to investigate possible variables which might contribute to rehospitalization of the patient within 15 days of prior discharge. If variables could be identified it might be possible to prevent the readmission through proactive measures. The findings revealed that variables reoccurred as the charts were reviewed and out of those several were nutrition-related. Further studies must be conducted to determine if nutrition and appropriate nutrition care is included in discharge planning.
Aged↗
Risk factors for early hospital readmission in patients with AIDS and pneumonia.
OBJECTIVE: To determine risk factors for early readmission to the hospital in patients with AIDS and pneumonia. DESIGN: Case-control analysis. SETTING: A municipal teaching hospital serving an indigent population. PATIENTS: Case patients were all AIDS patients hospitalized with Pneumocystis carinii pneumonia or bacterial pneumonia between January 1992 and March 1995 who were readmitted for any nonelective reason within 2 weeks of discharge (n = 90). Control patients were randomly selected AIDS patients admitted during the study period who were not early readmissions (n = 87), matched by proportion of Pneumocystis carinii to bacterial pneumonia. MEASUREMENTS AND MAIN RESULTS: Demographics, social support, health-related behaviors, clinical aspects of the acute hospitalization, and general medical status were the main predictors measured. RESULTS: Patients were at significantly increased risk of early readmission if they left the hospital unaccompanied by family or friend (odds ratio [OR] 4.76; 95% confidence interval [CI] 2.06, 11.0; p =.0003), used crack cocaine (OR 3.40; 95% CI 1.02, 11.3; p =. 046), had one or more coincident AIDS diagnoses (OR 3.65; 95% CI 1. 44, 9.26; p =.0065), or had been admitted in the preceding 6 months (OR 2.82; 95% CI 1.21, 6.57; p =.016). Demographic characteristics, alcoholism, intravenous drug use, illness severity on admission, and length of hospitalization did not predict early readmission. CONCLUSIONS: Absence of companion at discharge and crack use were important risk factors for early readmission in patients with AIDS and pneumonia. Additional AIDS comorbidity and recent antecedent hospitalization were also risk factors; however, demographics and measures of acute illness during index hospitalization did not predict early readmission.
AIDS-Related Opportunistic Infections↗
A review of the readmissions of patients with tetraplegia to the Regional Spinal Injuries Centre, Southport, United Kingdom, between January 1994 and December 1995.
Patients with chronic tetraplegia are prone to develop unique clinical problems which require readmission to specialised centres where the health professionals are trained specifically to diagnose, and treat the diseases afflicting this group of patients. An appraisal of the readmission pattern of tetraplegic patients will provide the necessary data for planning allocation of beds for treatment of chronic tetraplegic patients. Hospital records of patients with tetraplegia readmitted to the Regional Spinal Injuries Centre, Southport, UK between 1 January 1994 and 31 December 1995 were analyzed to find out the number of tetraplegic patients who required readmission, reasons for readmission, duration of hospital stay, and mortality among patients readmitted. During the 2-year period, 155 tetraplegic patients were readmitted and 44 of them (28.4%) required more than one readmission (total readmission episodes: 221); these patients occupied 4.5 beds which is equivalent to 11.5% of the total bed capacity of the spinal unit. Among the reasons for the readmissions, evaluation and care of urinary tract disorders topped the list with 96 readmission episodes (43.43%) involving 70 patients; the median hospital stay was 3 days, and 18 patients (26%) required more than one readmission during this period. One hospital bed was occupied by the tetraplegic patients requiring treatment/evaluation of urinary tract disorders. Assessment and treatment of cardio-respiratory diseases was the second most common reason for readmission with 51 readmission episodes pertaining to 27 patients having a median hospital stay of 6 days; 13 patients (48%) were readmitted more than once within this 2-year period. Treatment of cardio-respiratory diseases in chronic tetraplegic patients required 1.2 hospital beds yearly. Only five tetraplegic patients were readmitted for treatment of pressure sore(s); however they had a prolonged hospital stay (median duration: 101 days). Social reasons accounted for 13 readmission episodes concerning nine patients who stayed in the hospital for varying periods (median: 6.5 days; mean: 35 days). Four tetraplegic patients readmitted with acute chest infection expired. An 81 year-old tetraplegic died of myocardial infarction. Urinary sepsis, renal insufficiency, respiratory failure and intra-cerebral haemorrhage accounted for the demise of a 41 year-old tetraplegic patient following surgical removal of a large, impacted stone at the pelviureteric junction. A tetraplegic patient who was admitted with haematuria subsequently underwent cystectomy for squamous cell carcinoma of the urinary bladder; he developed secondaries and expired 5 months later. As more patients with high cervical spinal cord injury survive the initial period of trauma, and as the life expectancy of tetraplegic patients increases, it is likely that greater numbers of tetraplegic patients will be requiring readmission to spinal injuries centre. Although it may be possible to prevent some of the complications of spinal cord injury and hence the need for a readmission, progress in medicine and rehabilitation technology will create additional demands for readmissions of chronic tetraplegic patients in order to implement the newer therapeutic strategies. Thus a change in the pattern of readmission of chronic tetraplegic patients is likely to be the future trend and this should be taken into account while making plans for providing the optimum care to chronic tetraplegic patients.
Adult↗
Risk for unplanned hospital readmission of patients with cancer: results of a retrospective medical record review.
PURPOSE/OBJECTIVES: To identify potential factors that place patients with cancer at risk for unplanned readmissions after discharge from the hospital. DESIGN: Retrospective, descriptive, medical record review. SETTING: A National Cancer Institute-designated comprehensive cancer center in an urban area of the Northeastern United States. SAMPLE: 78 patients were selected from those readmitted within seven days of discharge. For each readmission case, a nonreadmitted patient was randomly selected and matched on discharge date and reason for prior admission. The age range was 22-87 years, men and women were equally represented, and 88% were Caucasian. METHODS: The Readmission Criteria Record was developed to collect data from medical records about factors associated with readmission, including demographics, severity of illness, support at home, symptoms, and comorbidities. MAIN RESEARCH VARIABLES: Criteria associated with readmission risk. FINDINGS: Patients who had gastrointestinal cancer, nausea within 24 hours of discharge, financial and insurance concerns, or caregiver difficulty or those who lived alone were more likely to be readmitted within seven days of discharge. Patients were more likely to be readmitted on Friday than any other day. Among readmitted patients, 48% were readmitted within one to two days postdischarge. CONCLUSIONS: Knowledge of factors that may place patients with cancer at an increased risk for readmission and subsequent implementation of appropriate interventions during hospitalization may help to decrease risk of readmission. IMPLICATIONS FOR NURSING: The factors identified provide a basis for assessment, planning, interventions, and follow-up of patients to help reduce the risk of readmission and, thus, poor outcomes.
Adult↗