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Predictive factors for clinically significant pharmacist interventions at hospital admission.

ABSTRACT: Pharmaceutical care activities at hospital admission have a significant impact on patient safety. The objective of this study was to identify predictive factors for clinically significant pharmacist interventions (PIs) performed during medication reconciliation and medication review at patient hospital admission.A 4-week prospective study was conducted in 4 medicine wards. At hospital admission, medication reconciliation and medication review were conducted and PIs were performed by the pharmaceutical team. The clinical impact of PIs was determined using the clinical economic and organizational (CLEO) tool. Clinical characteristics, laboratory results, and medication data for each patient were collected and analyzed as potential predictive factors of clinically significant PIs. Univariate and multivariate binary logistic regression were subsequently used to identify independent predictive factors for clinically relevant PIs.Among 265 patients admitted, 150 patients were included. Among 170 PIs performed at hospital admission, 71 were related to unintentional discrepancies (41.8%) during medication reconciliation, and 99 were related to drug-related problems (DRPs) (58.8%) during medication review. Overall, 115 PIs (67.7%) were considered to have a clinical impact. By multivariate analysis, number of medications ?5 (P?=?.01) based on the best possible medication history, and Charlson comorbidity index score ?2 (P?

SUBMITTER: Mongaret C

PROVIDER: S-EPMC5851721 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Predictive factors for clinically significant pharmacist interventions at hospital admission.

Mongaret Céline C Quillet Pauline P Vo Thi Ha TH Aubert Léa L Fourgeaud Mathieu M Michelet-Huot Elise E Bonnet Morgane M Bedouch Pierrick P Slimano Florian F Gangloff Sophie C SC Drame Moustapha M Hettler Dominique D

Medicine 20180301 9

Pharmaceutical care activities at hospital admission have a significant impact on patient safety. The objective of this study was to identify predictive factors for clinically significant pharmacist interventions (PIs) performed during medication reconciliation and medication review at patient hospital admission.A 4-week prospective study was conducted in 4 medicine wards. At hospital admission, medication reconciliation and medication review were conducted and PIs were performed by the pharmace ...[more]

PMID: 29489684

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Project description:Clinically important medication errors are common after hospital discharge. They include preventable or ameliorable adverse drug events (ADEs), as well as medication discrepancies or nonadherence with high potential for future harm (potential ADEs).To determine the effect of a tailored intervention on the occurrence of clinically important medication errors after hospital discharge.Randomized, controlled trial with concealed allocation and blinded outcome assessors. (ClinicalTrials.gov registration number: NCT00632021)Two tertiary care academic hospitals.Adults hospitalized with acute coronary syndromes or acute decompensated heart failure.Pharmacist-assisted medication reconciliation, inpatient pharmacist counseling, low-literacy adherence aids, and individualized telephone follow-up after discharge.The primary outcome was the number of clinically important medication errors per patient during the first 30 days after hospital discharge. Secondary outcomes included preventable or ameliorable ADEs, as well as potential ADEs.Among 851 participants, 432 (50.8%) had 1 or more clinically important medication errors; 22.9% of such errors were judged to be serious and 1.8% life-threatening. Adverse drug events occurred in 258 patients (30.3%) and potential ADEs in 253 patients (29.7%). The intervention did not significantly alter the per-patient number of clinically important medication errors (unadjusted incidence rate ratio, 0.92 [95% CI, 0.77 to 1.10]) or ADEs (unadjusted incidence rate ratio, 1.09 [CI, 0.86 to 1.39]). Patients in the intervention group tended to have fewer potential ADEs (unadjusted incidence rate ratio, 0.80 [CI, 0.61 to 1.04]).The characteristics of the study hospitals and participants may limit generalizability.Clinically important medication errors were present among one half of patients after hospital discharge and were not significantly reduced by a health-literacy-sensitive, pharmacist-delivered intervention.National Heart, Lung, and Blood Institute.

Project description:In hospital settings, depression is an underdetected, undertreated, but prevalent and interfering illness that is associated with significant disability, morbidity, and mortality. A general hospital emergency department (ED) setting may be well suited to identify individuals with clinically significant depressive symptoms, facilitating their referral and treatment.Cross-sectional data of adult ED patients in a general hospital enrolling in a human immunodeficiency virus (HIV) screening study between February 2007 and March 2008 were analyzed. Data included demographic factors, the Center for Epidemiologic Studies Depression Scale (CES-D), alcohol and substance use history, sexual risk taking, and brief medical history. The primary outcome was a dichotomous measure of self-reported clinically significant depressive symptoms. Patients who scored >/= 16 on the CES-D were considered to screen positive for depressive symptoms.Of the 3,262 patients enrolled in the screening trial, 2,588 (79%) completed the survey between February 2007 and March 2008. Among these, 1,945 (75%) completed the psychosocial assessment battery; 596 (31%) survey completers screened positive for clinically significant depressive symptoms. In a multivariable model, female sex (RR = 1.36; 95% CI, 1.16-1.57), being unemployed (RR = 1.61; 95% CI, 1.32-1.93), and lower annual income (RR from 1.73 to 2.24) were associated with increased rates of clinically significant depressive symptoms (CES-D score >/= 16). Clinically significant depressive symptoms were more often present in patients who screened positive for alcohol dependence (RR = 1.48; 95% CI, 1.19-1.78), individuals reporting current smoking (RR = 1.39; 95% CI, 1.17-1.62), those with a prior psychiatric disorder diagnosis (RR = 2.20; 95% CI, 1.80-2.57) or history of hypertension (RR = 1.47; 95% CI, 1.18-1.79), and those who reported ever having sex with an HIV-infected partner (RR = 1.58; 95% CI, 1.08-2.09).This study identified a high frequency of undiagnosed clinically significant depressive symptoms among ED patients and highlights several new demographic and clinical correlates of such symptoms. Screening for and diagnosis of clinical depression in the ED setting introduces important opportunities for acute care providers and for the health care system as a whole.

Project description:BACKGROUND: An accurate medication list at hospital admission is essential for the evaluation and further treatment of patients. The objective of this study was to describe the frequency, type and predictors of errors in medication history, and to evaluate the extent to which standard care corrects these errors. METHODS: A descriptive study was carried out in two medical wards in a Swedish hospital using Lund Integrated Medicines Management (LIMM)-based medication reconciliation. A clinical pharmacist identified each patient's most accurate pre-admission medication list by conducting a medication reconciliation process shortly after admission. This list was then compared with the patient's medication list in the hospital medical records. Addition or withdrawal of a drug or changes to the dose or dosage form in the hospital medication list were considered medication discrepancies. Medication discrepancies for which no clinical reason could be identified (unintentional changes) were considered medication history errors. RESULTS: The final study population comprised 670 of 818 eligible patients. At least one medication history error was identified by pharmacists conducting medication reconciliations for 313 of these patients (47%; 95% CI 43-51%). The most common medication error was an omitted drug, followed by a wrong dose. Multivariate logistic regression analysis showed that a higher number of drugs at admission (odds ratio [OR] per 1 drug increase = 1.10; 95% CI 1.06-1.14; p < 0.0001) and the patient living in their own home without any care services (OR = 1.58; 95% CI 1.02-2.45; p = 0.042) were predictors for medication history errors at admission. The results further indicated that standard care by non-pharmacist ward staff had partly corrected the errors in affected patients by four days after admission, but a considerable proportion of the errors made in the initial medication history at admission remained undetected by standard care (OR for medication errors detected by pharmacists' medication reconciliation carried out on days 4-11 compared to days 0-1 = 0.52; 95% CI 0.30-0.91; p=0.021). CONCLUSIONS: Clinical pharmacists conducting LIMM-based medication reconciliations have a high potential for correcting errors in medication history for all patients. In an older Swedish population, those prescribed many drugs seem to benefit most from admission medication reconciliation.

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Predictive factors for clinically significant pharmacist interventions at hospital admission.

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Predictive factors for clinically significant pharmacist interventions at hospital admission.

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