Garofoli, Adrian C.

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.

Objectively measured severe physical inactivity (SPI) has been reported as the strongest independent predictor of mortality in patients with chronic obstructive pulmonary disease (COPD). Activity monitoring is not feasible in routine clinical practice; therefore, we set out to determine the utility of simple clinical measures for predicting SPI in patients with COPD. A total of 165 patients with COPD wore an activity monitor for 5 days to define the presence or absence of SPI. Logistic models were generated including the modified Medical Research Council (MMRC) dyspnea grade, spirometry and the age–dyspnea–airflow obstruction (ADO) index. Physical Activity Scale for the Elderly (PASE) and Stanford Brief Activity Scale (SBAS) were also tested for validity and reliability in a subgroup of 67 patients. The MMRC dyspnea grade, PASE score, ADO index and SBAS score were associated with SPI, but general self-efficacy and spirometry were not. An MMRC dyspnea grade ≥3 was the best independent predictor of SPI (AUC: 0.74; PPV: 0.83; NPV: 0.68) followed closely by a PASE score of <111. The combination of MMRC dyspnea grade and PASE score provided the most robust model (AUC: 0.83; Positive Predictive Value (PPV): 0.95; Negative Predictive Value (NPV): 0.63). The results were confirmed using 5000 bootstrapped models from the cohort of 165 patients. MMRC dyspnea grade ≥3 may be the best triage tool for SPI in patients with COPD. The combination of the MMRC and PASE score provided the most robust prediction. Our results may have significant practical applicability for clinicians caring for patients with COPD.