Frequency and nature of potential drug–drug interaction in medical wards: a cross-sectional study in a teaching hospital

2020 ◽  
Vol 36 (4) ◽  
pp. 158-165
Author(s):  
Tariq Khan ◽  
Khayal Muhammad ◽  
Fazal Subhan ◽  
Zakir Khan ◽  
Nisar Ur Rehman
Keyword(s):  
Drug Interaction ◽  
Teaching Hospital ◽  
Cross Sectional Study ◽  
Potential Drug ◽  
Sectional Study ◽  
Cross Sectional ◽  
Drug Drug Interaction ◽  
Medical Wards

scholarly journals ANALISIS HUBUNGAN FAKTOR RISIKO DENGAN KEJADIAN INTERAKSI OBAT POTENSIAL PASIEN GERIATRI DI RUMAH SAKIT SWASTA YOGYAKARTA

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Maya Arfania
Keyword(s):  
Risk Factor ◽  
Drug Interaction ◽  
Chronic Disease ◽  
Random Sampling ◽  
Total Population ◽  
Cross Sectional Study ◽  
Potential Drug ◽  
Sectional Study ◽  
Chi Square ◽  
Cross Sectional

Abstrak Dewasa ini populasi di Indonesia meningkat dengan pesat. Diprediksi Indonesia akan menduduki 10 besar tertinggi yang memiliki populasi berusia lebih dari 60 tahun, yaitu sebesar 54 per 1000 orang pada tahun 1980 dan 76 per 1000 orang pada tahun 2000. Kemungkinan proporsi lanjut usia akan mencapai 9,8% dari total populasi pada tahun 2010, bahkan peningkatannya dapat mencapai 3,7% antara tahun 2010 sampai 2020. Penelitian ini adalah penelitian cross sectional, dimana pengambilan sampel dilakukan secara purposive random sampling. Jumlah sampel yang digunakan adalah sebesar 100 lembar resep. Setelah dilakukan analisis dengan menggunakan chi square diketahui bahwa dalam peneltiian ini, jenis kelamin dan jumlah obat bukanlah menjadi faktor risiko dari potensi terjadinya interaksi obat. Kata kunci : geriatri, interaksi obat, penyakit kronis Abstract The population in Indonesia was increase rapidly nowadays. It is been predicted Indonesia will occupy the highest top 10 who has population over 60 years, wich is equal to 54 per 1000 people in 1980 and 76 per 1000 people in 2000. It’s possible that the proportion of elderly will reach 9,8% of total population in 2010, even the increase can reach 3,7% between 2010 and 2020. This study was a cross-sectional study, where the sampling was done by purposive random sampling. The number of samples is 100 recipes. After analyzed usig chi square, it was found that in this study, gender and the number of drugs were not the risk factor of potential drug interactions. Keywords: geriatri, drug interaction, chronic disease

scholarly journals THE PREDICTORS OF POTENTIAL DRUG-DRUG INTERACTIONS AMONG DIABETIC HYPERTENSIVE ADULT OUTPATIENTS IN A KENYAN REFERRAL HOSPITAL

2020 ◽  
pp. 63-67
Author(s):  
MAKITE SIMON LATI ◽  
NYAMU GITONGA DAVID ◽  
ROSALINE NJERI KINUTHIA
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
Cross Sectional Study ◽  
Potential Drug ◽  
National Hospital ◽  
Cross Sectional ◽  
Kenyatta National Hospital ◽  
Stage 4 ◽  
Drug Drug Interaction ◽  
Study Participants

Objective: To characterize the predictors of potential drug-drug interactions among adult diabetic hypertensive outpatients at Kenyatta National Hospital. Methods: This cross-sectional study collected and analyzed data on potential drug interactions from 104 diabetic hypertensive outpatients (aged ≥18 y) at the Department of Endocrinology Outpatient Clinic of Kenyatta National Hospital from 1st May 2019 to 31st August 2019. The main outcome measure was the prevalence of potential drug-drug interactions and their predictors among the study population. Results: There was a female preponderance (70.2%). The mean age of the study participants was 61.6 y (SD±10.8). The prevalence of potential drug interactions was high at 57.7%. The average number of drug interactions was one interacting pair per patient, with a majority of the prescriptions (81.0%) having moderate drug-drug interactions. Patients receiving>2 drugs were almost three times more likely to have drug-drug interaction compared to those prescribed ≤ 2 drugs (AOR=2.79; 95% CI: 1.11-7.28); p=0.029). Participants who were at stage 4 of hypertension were 2.5 times more likely to have a drug-drug interaction compared to the other stages of hypertension (AOR=2.52; 95% CI 1.31-4.89; p=0.007). Conclusion: Polypharmacy and stage 4 hypertension are independently associated with drug-drug interactions among patients with both diabetes and hypertension. Future studies should characterize the specific type of drug interactions and possible targets of minimization of drug-drug interactions.

scholarly journals Drug-drug Interactions between Hypoglycemic and Non-hypoglycemic Medication in Diabetic Patients with Comorbidities in a Tertiary Care Center: A Descriptive Cross-sectional Study

2021 ◽  
Vol 59 (243) ◽  
pp. 1125-1130
Author(s):  
Lujaw Ratna Tuladhar ◽  
Shirish Lal Shrestha ◽  
Sneha Bimali ◽  
Srijana Bhusal ◽  
Pingala Khadka
Keyword(s):  
Drug Interaction ◽  
Confidence Interval ◽  
Drug Interactions ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Outpatient Department ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional ◽  
Drug Drug Interaction

Introduction: Drug-drug interaction is one of the causes of adverse drug reactions. Generally, drug-drug interaction is common in multidrug therapy. Diabetic patients, particularly due to associated comorbidities tend to have various drug-drug interactions due to the effect of multiple drugs. The objective of this study was to find out the prevalence of drug-drug interactions in diabetic patients. Methods: It was a descriptive cross-sectional study that was conducted among previously diagnosed diabetic patients visiting the outpatient department of medicine at a tertiary care hospital between March 2021 and August 2021. Ethical approval was taken from the institutional review committee (Ref no: 030-076/077). Data was collected from diabetic patients presenting to the outpatient department of medicine using a preformed self-constructed questionnaire. Convenient sampling was done. Statistical Package for Social Sciences version 21 and Microsoft Excel were used for data analysis. Point estimate at 95% confidence interval was calculated along with frequency and proportion for binary data. Results: The prevalence of drug-drug interaction between hypoglycemic and non-hypoglycemic medication was 56 (44.1%) (35.5-52.7 at 95% Confidence Interval) of the patients out of which at least one drug-drug interaction was seen in 48 (37.8%) of the patients. Conclusions: Our study showed the prevalence of drug-drug interactions in diabetic patients to be higher than other studies done in similar settings. Based on the severity, we observed two types of drug-drug interactions; close monitoring drug-drug interactions and minor drug-drug interactions.

scholarly journals Kajian Adverse Drug Reactions Terkait Interaksi Obat di Bangsal Rawat Inap Rumah Sakit Akademik UGM

2021 ◽  
Vol 10 (4) ◽  
Author(s):  
Fivy Kurniawati ◽  
Nanang Munif Yasin ◽  
Amila Dina ◽  
Sanses Atana ◽  
Sarah Nabila Hakim
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
Adverse Drug Reactions ◽  
Teaching Hospital ◽  
Clinical Problem ◽  
Cross Sectional Study ◽  
Potential Drug ◽  
Drug Reactions ◽  
Cross Sectional ◽  
Prolonged Length

Adverse Drug Reactions (ADRs) is one of the causes of patient’s prolonged length of stay in the hospital and drug interactions can be included as one of the causes of the cause of ADRs. ADR related to drug interactions is a clinical problem that requires proper prevention. This study aimed to identify potential drug interactions also identify adverse drug reactions (ADRs) related to drug interactions in hospitalized patients at Universitas Gadjah Mada Teaching Hospital. This cross-sectional study used retrospective data collection through patient’s medical records from January to June 2018. Patients included in this study were all patients who received therapy more than two kind of drugs simultaneously treated in hospital wards of Universitas Gadjah Mada Teaching Hospital, Yogyakarta, Indonesia. The data collected were then analyzed descriptively. Drug interactions were analyzed using Drug Interaction Facts 2012 and Stockley. ADRs were analyzed by monitoring documented effects of patients with potential drug interaction. There were 115 of 362 patients (31.8%) with potential drug interactions. The total numbers of potential interactions that occur were 182 interactions. The most potential type of interaction was the interaction with moderate severity, with 115 interactions (63.2%). The majority of drug interactions occur through unknown mechanisms (54.4%). Actual ADR occurs in 3.3% patients who were 2 pediatric patients and 4 geriatric patients. This study can be a reference for drug interactions and ADRs as well as guide for pharmacist and healthcare in providing the right medication.

scholarly journals Pattern and Appropriateness of Medicines Prescribed to Outpatients at a University Hospital in Northwestern Ethiopia

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Fitsum Sebsibe Teni ◽  
Sewunet Admasu Belachew ◽  
Begashaw Melaku Gebresillassie ◽  
Eshetie Melese Birru ◽  
Befikadu Legesse Wubishet ◽  
...  
Keyword(s):  
Drug Interaction ◽  
Significant Proportion ◽  
Cross Sectional Study ◽  
University Hospital ◽  
Potential Drug ◽  
Sectional Study ◽  
Cross Sectional ◽  
Considerable Cost ◽  
Accepted Standard ◽  
Sociodemographic Profile

The study assessed the pattern and appropriateness of medicines prescribed to outpatients at Gondar University Referral Hospital in northwestern Ethiopia. An institution-based cross-sectional study was employed, through interviews and prescription reviews, among 346 patients at the outpatient pharmacy, from 2nd to 20th of May 2016. Data on sociodemographic profile of patients and medicines prescribed to them were collected. A mean of 1.72 medicines per encounter was prescribed, over a third of the total being anti-infectives. Patients were able to get about 85% of these medicines. An unskilled government employee would be required to work more than one and a half day to be able to afford the average priced medicine. Among prescriptions with two or more medicines, more than a third had at least one potential drug-drug interaction (PDDI), the commonest pair containing amoxicillin and doxycycline. Being male, being older (50–59 years), and increased number of medicines were associated with higher likelihood of PDDIs. In conclusion, the number of medicines prescribed per encounter was up to accepted standard. However, their availability fell short, together with considerable cost. Regarding appropriateness, a significant proportion of potential drug-drug interactions is identified and associated with patient’s sex, age, and number of medicines prescribed.

scholarly journals Potential Drug–Drug Interactions among Hospitalized COVID-19 Patients Admitted to Medical Wards of a Referral Hospital, North-East of Iran: A Cross Sectional Study

2021 ◽  
Author(s):  
Niloofar Saber-Moghaddam ◽  
Sepideh Hejazi ◽  
Sepideh Elyasi
Keyword(s):  
Drug Interaction ◽  
Virus Disease ◽  
Median Number ◽  
Cross Sectional Study ◽  
Referral Hospital ◽  
Sectional Study ◽  
Cross Sectional ◽  
North East ◽  
East Of Iran ◽  
Drug Drug Interaction

Background: Hospitalized corona virus disease 2019 (COVID-19) patients are special population in term of drug-drug interaction (DDI), as they receive various experimental novel medications and also most of them are elderly with various comorbidities and consequently numerous medications. The aim of present study was to assess the prevalence and determinants of potential DDIs in hospitalized COVID-19 patients admitted to the medical ward of a Referral Hospital in North-East of Iran. Methods: A cross-sectional study was conducted among COVID-19 inpatients between March 2020 and April 2020. Prescribed medication being taken concurrently for at least 24 h were included and checked for DDI using Lexicomp® online drug reference. Data were analyzed using SPSS19. Results: A total of 88 patients were evaluated. The cardiovascular disease was the most common comorbidity (30.68%). The median number of medications prescribed for each patient was 5. Hydroxychloroquine was the most common prescribed medication for COVID-19 management (92.05%). About two-third (62.5 %) of patients were exposed to at least one potential C (84.09 %) or D (52.27%) DDI and no X DDIs were found. Patients with at least five prescribed medications were at higher risk of having DDI (P = 0.001). Conclusion: Drug–drug interaction in COVID-19 inpatients was common. Considering these DDIs, clinical pharmacist involvement can be helpful in minimizing the risk of these potentially harmful drug combinations.

Evaluation of Drug Use Based on WHO Prescribing Indicator in Mizan- Tepi University Teaching Hospital, south Western Ethiopia: A Cross Sectional Study

2020 ◽  
Vol 15 ◽  
Author(s):  
Solomon Hambisa ◽  
Rediet Feleke ◽  
Ameha Zewudie ◽  
Mohammed Yimam
Keyword(s):  
Drug Use ◽  
World Health Organization ◽  
Teaching Hospital ◽  
Cross Sectional Study ◽  
University Teaching ◽  
World Health ◽  
Sectional Study ◽  
Hospital Data ◽  
Cross Sectional ◽  
Health Organization

Background:: Rational drug use comprises aspects of prescribing, dispensing and patient use of medicines for different health problems. This study is aimed to assess drug prescribing practice based on the world health organization prescribing indicators in Mizan-Tepi University teaching hospital. Methods:: An institutional based retrospective cross sectional study was conducted to evaluate prescribing practices in Mizan-Tepi University teaching hospital. Data were collected based on World health organization drug use indicators using prescription papers. 600 prescriptions dispensed through the general outpatient pharmacy of the hospital were collected by systematic random sampling method from prescriptions written for a 1-year time in Mizan-Tepi University teaching hospital. Results:: The present study found that the average number of drugs per prescription was 2.04 ± 0.87 in Mizan-Tepi University teaching hospital with a range between 1 and 5. Prescribing by generic name was 97.6 % and 47.8% of prescriptions contained antibiotics in the hospital. 27.7% of prescriptions contained at least one injectable medication in Mizan-Tepi University teaching hospital. From prescribed drugs, 96.7% of them were prescribed from Ethiopian essential drug list. Conclusion:: Present study indicated that the average number of drugs prescribed per encounter, the percentage of generic prescribing and prescribing from the EDL were close to optimal value. However, the percentage of encounters with antibiotics and injections prescribed were found be very high. Thus, the study highlights some improvements in prescribing habits, particularly by focusing on the inappropriate consumption of antibiotics and injections.

scholarly journals Use of Ceftaroline in Hospitalized Patients with and without COVID-19: A Descriptive Cross-Sectional Study

Antibiotics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 763
Author(s):  
Daniele Roberto Giacobbe ◽  
Chiara Russo ◽  
Veronica Martini ◽  
Silvia Dettori ◽  
Federica Briano ◽  
...  
Keyword(s):  
Bacterial Infections ◽  
Bloodstream Infections ◽  
Cross Sectional Study ◽  
Primary Objective ◽  
Sectional Study ◽  
Cross Sectional ◽  
First Line Therapy ◽  
Large Teaching Hospital ◽  
Secondary Objective ◽  
Medical Wards

A single-center cross-sectional study was conducted to describe the use of ceftaroline in a large teaching hospital in Northern Italy, during a period also including the first months of the coronavirus disease 2019 (COVID-19) pandemic. The primary objective was to describe the use of ceftaroline in terms of indications and characteristics of patients. A secondary objective was to describe the rate of favorable clinical response in patients with bloodstream infections (BSI) due to methicillin-resistant Staphylococcus aureus (MRSA-BSI) receiving ceftaroline. Overall, 200 patients were included in the study. Most of them had COVID-19 (83%, 165/200) and were hospitalized in medical wards (78%, 155/200). Included patients with COVID-19 pneumonia were given empirical ceftaroline in the suspicion of bacterial co-infection or superinfection. Among patients with MRSA-BSI, ceftaroline was used as a first-line therapy and salvage therapy in 25% (3/12) and 75% (9/12) of cases, respectively, and as a monotherapy or in combination with daptomycin in 58% (7/12) and 42% (5/12) of patients, respectively. A favorable response was registered in 67% (8/12) of patients. Improving etiological diagnosis of bacterial infections is essential to optimize the use of ceftaroline in COVID-19 patients. The use of ceftaroline for MRSA-BSI, either as a monotherapy or in combination with other anti-MRSA agents, showed promising rates of favorable response.

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