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    Evaluation of clinical pharmacist interventions on drug-related problems in the gastroenterology ward
    (Marmara Univ, 2022) Ceylan, Cengizhan; Sancar, Mesut; Beceren, Ayfer; Demir, Ali; Kus, Coskun; Omurtag, Gulden Zehra
    Integrating clinical pharmacists in a multidisciplinary patient care team improves the treatment process by identifying and resolving drug-related problems (DRPs). The aim of the study was to determine the effect of clinical pharmacist intervention for DRPs in the gastroenterology service. The first period of the study was conducted between 15.06.2018 and 15.02.2019. Eighty patients admitted to the gastroenterology ward, who used at least one medication, were included in 'the study group'. The clinical pharmacist participated in ward rounds and made interventions to solve identified DRPs. In the second period of the study, the control group consisted of 80 patients admitted to the same ward between 01.03.2019 and 06.06.2019. DRPs were determined only from the data obtained from the hospital system in the control group. DRPs were classified according to the European Pharmaceutical Care Network (PCNE V9.1). A total of 136 and 46 with an average of 1.7 and 0.57 DRPs per patient (p <= 0.01) were identified in the study and control groups, respectively. Of the DRPs in the study group, 59 were related to treatment effectiveness, while 61 were related to treatment safety. Likewise, 21 DRPs were related to treatment effectiveness in the control group, while 12 were related to treatment (p <= 0.01). 65% of the interventions were made at the physician level and 49% at the drug level. 97% (n=133) of the total interventions were accepted. The number of DRPs was significantly reduced in the control group within the time frame after the clinical pharmacist intervention period. In conclusion, clinical pharmacists' importance in detecting and preventing DRPs in the gastroenterology ward has been demonstrated.
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    Transmuted Lower Record Type Frechet Distribution with Lifetime Regression Analysis Based on Type I-Censored Data
    (Atlantis Press, 2021) Tanis, Caner; Saracoglu, Bugra; Kus, Coskun; Pekgor, Ahmet; Karakaya, Kadir
    This paper introduces a new lifetime distribution by mixing the first two lower record values and various distributional properties are examined. Statistical inference on distribution parameters are discussed with five estimators. A Monte Carlo simulation study is carried out to evaluate the risk behavior of these estimators for different sample of sizes. The distribution modeling analysis is provided based on real data to demonstrate the fitting ability of the proposed model. In addition, a lifetime regression model is described by re-parameterization on the log lifetimes. The superiority of proposed regression model is revealed in well-known models. (C) 2021 The Authors. Published by Atlantis Press B.V.