Prescribing trend in cardiovascular patients at Ethiopian university hospital: The number of medications and implication on the clinical improvement.

Investigating the prescribing trend is important to improve rational prescribing. This study aimed at assessing the cardiovascular drug use, pattern, and its impact on clinical outcome. A cross-sectional study was employed in the outpatient department of chronic illness clinic of Gondar University specialized hospital, Ethiopia from 15 January 2017 to 15 March 2017. The independent variables were sociodemographic, medication, and other clinical information while cardiovascular disease improvement is the outcome variable. Binary logistic regression was used to test the association between the independent variables and the outcome variable. Kaplan Meier curve was used to analyze the clinical improvement while the Log-rank test was employed to compare the clinical outcome with the number of medications. Eight hundred thirty-three cardiovascular patient medical records were included in the final analysis. The majority (62.5%) of patients were females and more than 61% were above 50 years of age. Diuretics monotherapy accounted for a third (33.6%) of cardiovascular drug use, followed by combination therapy of angiotensin convertase enzyme inhibitors with Diuretics (21.8%) and calcium channel blockers with diuretics (8.3%). Cardiovascular patients followed for 72 months found to have a good level of clinical improvement on combination medication (Log Rank of 28.9, P = 0.000). In this study, diuretics monotherapy or in combination with angiotensin convertase enzyme inhibitors were found to be the frequently prescribed drugs in cardiovascular patients. Combination therapy has an implication for good cardiovascular improvement on long term follow-up. It seems clinicians were restricted to certain cardiovascular medications while plenty of choices are available from the diverse classes of cardiovascular drugs.

Patient Adherence to Novel Oral Anticoagulants (NOACs) for the Treatment of Atrial Fibrillation and Occurrence of Associated Bleeding Events: A Systematic Review and Meta-analysis.

BACKGROUND: Real-world evidence from published observational studies of adherence to Novel Oral Anticoagulants (NOACs) medications and associated clinical outcome events in Atrial Fibrillation (AF) patients, was reviewed systematically. METHODS: Observational studies assessing patient adherence to NOACs conducted on AF patients between September 2010 and June 2016 were identified by systematic searching keywords to locate eligible studies, in accordance with Cochrane guidelines. PubMed, Scopus and Google Scholar databases were searched to identify the studies. Meta-analysis was performed using a random effects model with DerSimonian-Laird weighting to obtain pooled effect sizes. RESULTS: From 185 potentially relevant citations, 6 studies, comprising 1.6 million AF patients, were included. Among these, successful adherence to NOACs occurred in 75.6%. Adherence levels were higher in patients treated with dabigatran (72.7%) compared with those treated with apixaban (59.9%) or rivaroxaban (59.3%). However, adherence was still suboptimal (relative to an expected 80% adherence rate). Bleeding events in non-adherent patients were found to be 7.5%. CONCLUSION: Suboptimal adherence to NOACs among AF patients was highlighted as a significant risk factor that may affect clinical outcomes, with a higher percentage of non-adherent patients having bleeding events. There is an urgent need for research on the effects of specific interventions to improve patient adherence to NOACs and to assess the related outcome factors that may be associated with adherence.

Off-label drug use in hospitalized children: a prospective observational study at Gondar University Referral Hospital, Northwestern Ethiopia.

Most of the medications which are currently used for the treatment of childhood diseases are either not licensed or being prescribed outside the terms of the product license (off-label prescribing). This study aimed at determining the extent of unlicensed and off-label drug uses and associated factors in children hospitalized in Gondar University Referral Hospital, Northwest Ethiopia. An institution-based prospective cross-sectional study was employed from April 15 to July 15, 2016. A total of 243 pediatric patients admitted to Gondar university referral hospital were included in the study using simple random sampling method. Data were collected using structured questionnaire, and the data collected were entered and analyzed using Statistical Packages for Social Sciences (SPSS) version 20. From the total of 800 drugs prescribed, 607 (75.8%) were off-label. Off-label medicine use was frequently observed in antimicrobials (60.6%) followed by central nervous system drugs (14.3%). The extent off-label prescribing was highest in age group of 6-13 years (30%). Inappropriate dosing and frequency (42.3%) were the most common reason for off-label medicine use. Having other variables controlled, age group and undergoing surgical procedure remained to be significant predictors of off-label prescribing in the multivariate regression analysis. Implementing evidence-based approach in prescribing by generating more quality literatures on the safety profile and effectiveness of off-label would improve the injudicious use of drugs in pediatric population.

Impact of electronic medication reconciliation interventions on medication discrepancies at hospital transitions: a systematic review and meta-analysis.

BACKGROUND: Medication reconciliation has been identified as an important intervention to minimize the incidence of unintentional medication discrepancies at transitions in care. However, there is a lack of evidence for the impact of information technology on the rate and incidence of medication discrepancies identified during care transitions. This systematic review was thus, aimed to evaluate the impact of electronic medication reconciliation interventions on the occurrence of medication discrepancies at hospital transitions. METHODS: Systematic literature searches were performed in MEDLINE, PubMed, CINHAL, and EMBASE from inception to November, 2015. We included published studies in English that evaluated the effect of information technology on the incidence and rate of medication discrepancies compared with usual care. Cochrane's tools were used for assessment of the quality of included studies. We performed meta-analyses using random-effects models. RESULTS: Ten studies met our inclusion criteria; of which only one was a randomized controlled trial. Interventions were carried out at various hospital transitions (admission, 5; discharge, 2 and multiple transitions, 3 studies). Meta-analysis showed a significant reduction of 45 % in the proportion of medications with unintentional discrepancies after the use of electronic medication reconciliation (RR 0.55; 95 % CI 0.51 to 0.58). However, there was no significant reduction in either the proportion of patients with medication discrepancies or the mean number of discrepancies per patient. Drug omissions were the most common types of unintended discrepancies, and with an electronic tool a significant but heterogeneously distributed reduction of omission errors over the total number of medications reconciled have been observed (RR 0.20; 95 % CI 0.06 to 0.66). The clinical impact of unintended discrepancies was evaluated in five studies, and there was no potentially fatal error identified and most errors were minor in severity. CONCLUSION: Medication reconciliation supported by an electronic tool was able to minimize the incidence of medications with unintended discrepancy, mainly drug omissions. But, this did not consistently reduce other process outcomes, although there was a lack of rigorous design to conform these results.