Strongest Predictor Of Readmission Research Articles

Abstract 260: Risk Factors for Readmission from Medical Cardiology Services. A Medication Reconciliation Perspective.

BACKGROUND: Hospital readmissions for cardiac diseases have a strong socio-economic impact. Medication reconciliation is one of the current interventions intended to improve quality of care, in which pharmacists play an important role. We aimed to determine risk factors and identify patients who are at risk of re-hospitalization by gathering data from the medication reconciliation process. METHODS: We included adults from our local community admitted to a medical cardiology service from September 2011 to August 2012. Two pharmacists led interviews within 48 hours of presentation. In addition to a rigorous medication reconciliation evaluation at admission and discharge, we assessed medication handling habits, adherence, familiarity with prescriptions, health literacy and reading impairment. We determined Potential Adverse Drug Events (PADE) by assessing discrepancies within medication records. Multivariate analyses were performed to look for association among factors and outcomes. RESULTS: We included 258 patients, mean age 70.5, 52 % male, 19% received help with medications, 83 % were adherent, 14% reported reading impairment, 40% heart failure (HF). The mean number of prescriptions was 7.5 and the mean Charlson comorbidity index 3.5. Medication errors reached 39% of patients on admission and 20% at discharge; no clinical complications were detected. The number of prescriptions was associated with PADEs at admission (p=0.0001) and discharge (p=0.03). Presence of PADE on admission or discharge did not affect the readmission rate. At 30 days 18% of 258 patients were readmitted, 9% visited the Emergency Department (ED) and 2.3% died; meanwhile at 6 months 38% were hospitalized, 46% went to the ED and 5.8% died. We identified a diagnosis of HF and the need for help handling medications at home as the strongest predictors of readmission at both 1 and 6 months. Other factors associated with higher readmissions rates and ED visits were the number of prescriptions, number of hospitalizations within the prior year, lack of familiarity with medical regimen and reading impairment. HF was associated with lower adherence (p=0.025); more admissions in the previous year (p=0.002), higher number of medications (p=0.001), reading impairment (p=0.02), higher readmissions at 1 and 6 months (p=0.003 and 0.0008 respectively) as well as ED visits (p=0.016) at 6 months compared with non-HF subjects. CONCLUSION: We found several characteristics, key examples being presence of HF and receipt of help with medications, that may warrant formal assessment during medication reconciliation as they seem associated with re-hospitalization. These patients may benefit from close follow-up during and post hospitalization.

The influence of clinical, treatment, and healthcare system characteristics on psychiatric readmission of adolescents.

This study examined predictors of readmission for a sample of 522 adolescents enrolled in Medicaid and admitted to three inpatient psychiatric hospitals in Maryland. Comprehensive data on clinical, treatment, and health care system characteristics were collected from archival sources (medical records, Medicaid claims, and the Area Resource File). Predictors of readmission were examined with bivariate (Kaplan Meier) and multivariate (Cox Regression) survival techniques. One-year readmission rates were 38% with the majority occurring within 3 months after discharge. Adolescent demographic (age and gender), clinical (severity of symptoms, comorbidity, suicidality) and family characteristics (level of family risk) were associated with readmission. However, treatment factors including type of aftercare, postdischarge living environment, medication noncompliance, and hospital provider were among the strongest predictors of readmission. Study findings underscore the importance of careful discharge planning and linkage to appropriate aftercare. The differing rates of readmission across hospitals also suggest that organizational level factors may play a vital role in determining treatment outcomes.

Outcome of postpartum disorders: a 10 year follow-up of hospital admissions.

To determine readmission and recurrence rates of women admitted to psychiatric hospital with their babies, and index factors predicting subsequent course. A total of 66 women were followed up after 10 years. Information was obtained from structured interviews or other personal contact, and from general practitioners and hospital notes. Psychiatric diagnoses were made according to Research Diagnostic Criteria (RDC). Outcome and predictive factors were investigated using survival analysis. A recurrence rate of 87.2%, and a readmission rate of 63.3% were found. Readmissions were more common after index schizophrenia than other diagnoses. The strongest predictor of readmission was previous psychiatric history. Among 27 subsequent pregnancies, puerperal recurrence was high among those with index psychoses (75-80%), but lower among those with index depression (27.3%). The recurrence rate is high, with a moderate readmission rate predicted by past psychiatric history. Continuing clinical vigilance over the long-term is required for these patients.