scholarly journals Studying the Prevalence of Medical Interventions in the Recipes

2019 ◽  
Vol 7 (11) ◽  
pp. 1879-1883
Author(s):  
Amin Alinezhad ◽  
Molouk Haji Babaei ◽  
Kheirollah Gholami ◽  
Seyed Hamid Khoei
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
Drug Prescription ◽  
Age Groups ◽  
P Value ◽  
Potential Drug ◽  
Cross Sectional ◽  
Medical Interventions ◽  
Male Patients ◽  
Public Drug

BACKGROUND: Drug interaction is a term used to refer to unfavourable side effects caused by mixing or taking two or more drugs simultaneously. Although it is not possible to identify all drug interactions, awareness of therapeutic team of potential drug interactions, risk factors that enhance the possibility of these interactions and familiarity with mechanisms of drug interactions can help reduce real drug interactions. AIM: The present research seeks to study the frequency and intensity of possible interactions among various age groups and their correlation with doctor’s speciality, time of drug prescription, patient’s gender, etc.MATERIAL AND METHOD: This is observational, cross-sectional research conducted in spring and winter to study the prevalence of drug interactions among 6000 recipes belonging to 2 private and 2 public drug stores. The information associated with recipes was recorded, and drug interactions were studied based upon quick index of interactions using Up to Date software. Quick index of medical interactions is a response to data dealing with how drugs interact with one another. The risk factor is divided into groups A, B, C, D, and X according to this index with each one having its own definition. The data analysis was studied in terms of prevalence type of drug interactions and the possible correlation with other parameters. SPSS v.16 was used for statistical analysis. RESULTS: The average age of the patients was 42.07 ± 21.56 years. The frequency of male patients was 41.7%. An average number of 4.82 ± 1.91 drugs were prescribed for each patient and an average number of 1.95 ± 2.40 drugs had interaction with one another with levels C, D, and X having the following drug interaction levels: 1.60 ± 2.05, 0.275 ± 0.69, and 0.072 ± 0.31. No such interactions were observed in 31.1% (1846 cases) of recipes. The presence of drug interaction was statistically significant in terms of age, season, drug store and speciality of doctor (P-value < 0.05). The average number of interactions in the recipes issued by psychologists, cardiologists, rheumatologist, neurologists, and general practitioners was more, and this result was statistically significant (P-value < 0.05). CONCLUSION: Considering the results achieved in this research, we may conclude that the drug interactions in recipes exhibit a noticeable frequency with the highest frequency observed in level C influenced by factors such as age, season, class of drugs, and expertise of the doctor.

scholarly journals Economic implications of polypharmacy in Nepal: Multicenter community-based study

2020 ◽  
Author(s):  
Binaya Sapkota ◽  
Suraj Shakya ◽  
Saroj Sah ◽  
Narendra Chaudhary ◽  
Bijendra Tamang ◽  
...  
Keyword(s):  
Drug Interactions ◽  
Multinomial Logistic Regression ◽  
Statistical Significance ◽  
Age Groups ◽  
Pharmacoeconomic Evaluation ◽  
Secondary Outcome ◽  
P Value ◽  
Cross Sectional ◽  
Economic Implications ◽  
Total Cost

Objective:Improper management of polypharmacy in community and hospital pharmacies may lead to adverse effects and drug interactions in patients of all age groups, especially children and the elderly. This study aimed to determine the scenario of polypharmacy in multiple communities in Nepal and the costs associated with them. Design: Cross-sectional study Setting:Local communities of nine districts in Nepal Participants:Total 400 patients of all age groups, who were consuming medicines and who fulfilled inclusion criteria from May 2017 to August 2018 Primary and secondary outcome measures:A semi-structured questionnaire, based on the prescription optimization method, was used for data collection. Multinomial logistic regression was performed to analyze the statistical significance of polypharmacy with the predictor variables (e.g., age, education level, occupation, diagnosis, total cost of medicines). The p-value <0.05 was considered statistically significant at 95% confidence interval. Polypharmacy cases and their economic implications were reported. Results:Eighty-one patients (20.3%) with an age group of 22-31 years with female patients (219, 54.8%) reported more polypharmacy events. There were 216 patients (54%) with prescriptions of five medicines i.e., moderate polypharmacy. Total number of medicines consumed by all 400 patients was 2269, with a mean, SD 5.67, 1.08. Total expenditure by all 400 patients was USD 3409.54 during the study period, with a mean, SD 8.66, 6.04. Both moderate and severe polypharmacy cases were non-significantly related with age, gender and total cost of medications. They had significant relationship in almost all levels of education and occupation and showed mixed type of significance and non-significance with the diagnosis of the respondents. Conclusion: Polypharmacy cases can be minimized, considering adverse drug reactions and drug interactions. Further studies are warranted in medication utilization and avoidable polypharmacy along with detailed pharmacoeconomic evaluation.

scholarly journals Potential drug interactions in patients given antiretroviral therapy

2016 ◽  
Vol 24 (0) ◽  
Author(s):  
Wendel Mombaque dos Santos ◽  
Silvia Regina Secoli ◽  
Stela Maris de Mello Padoin
Keyword(s):  
Antiretroviral Therapy ◽  
Hiv Infection ◽  
Drug Interactions ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Antiretroviral Drugs ◽  
P Value ◽  
Potential Drug ◽  
Cross Sectional ◽  
Treatment Data

ABSTRACT Objective: to investigate potential drug-drug interactions (PDDI) in patients with HIV infection on antiretroviral therapy. Methods: a cross-sectional study was conducted on 161 adults with HIV infection. Clinical, socio demographic, and antiretroviral treatment data were collected. To analyze the potential drug interactions, we used the software Micromedex(r). Statistical analysis was performed by binary logistic regression, with a p-value of ≤0.05 considered statistically significant. Results: of the participants, 52.2% were exposed to potential drug-drug interactions. In total, there were 218 potential drug-drug interactions, of which 79.8% occurred between drugs used for antiretroviral therapy. There was an association between the use of five or more medications and potential drug-drug interactions (p = 0.000) and between the time period of antiretroviral therapy being over six years and potential drug-drug interactions (p < 0.00). The clinical impact was prevalent sedation and cardiotoxicity. Conclusions: the PDDI identified in this study of moderate and higher severity are events that not only affect the therapeutic response leading to toxicity in the central nervous and cardiovascular systems, but also can interfere in tests used for detection of HIV resistance to antiretroviral drugs.

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 Potential drug interactions analysis of COVID-19 patients at a hospital in West Java

2021 ◽  
Vol 17 (2) ◽  
pp. 182-197
Author(s):  
Larasati Arrum Kusumawardani ◽  
Nisa Maria ◽  
Yumna Nabila Fanani
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
Treatment Guidelines ◽  
Cross Sectional Study ◽  
Potential Drug ◽  
Cross Sectional ◽  
Medication Schedule ◽  
Route Changing ◽  
Correlated Factors ◽  
Therapy Modification

Background: Treatment guidelines of COVID-19 are changing continuously by involving many off-label and various symptomatic or supportive drugs. The use of these various drugs might increase the patient’s risk of developing drug interactions. Objective: The study aimed to analyze potential drug-drug interactions in COVID-19 inpatients and the correlated factors. Method: A cross-sectional study was conducted in a hospital by using inpatients admitted from August-December 2020. Potential drug-drug interaction was analyzed by using Lex-Interact® software. Results: From 107 patients, the majority of them are in moderate severity-degree (98.1%), having comorbidities (93.5%), and polypharmacy (98.1%). The average of potential drug interactions was 8.47±8,04, with most of the interaction in risk rating C-monitor therapy. Major potential drug interactions found were prolongation of QT interval and disturbance of drug absorption in the gastrointestinal tract. A positive correlation occurred between drug interactions found and comorbidity (r=0.436), number of drugs per prescription (r=0.674), and length of stay (r=0.222) Conclusions: COVID-19 patient is at risk for developing potential drug interactions that can affect the patient's physiological condition and reduce drug effect. It is necessary to manage the medication schedule, therapy modification, administration route changing, dosage adjustment, and monitoring of effects that might occur because of the drug interactions. Keywords: drug interaction, COVID-19, inpatient, correlated factor

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 Potential Drug-Drug Interactionsamong Adult Patients Admitted to MedicalWards at a Tertiary Teaching Hospital inEthiopia

2018 ◽  
Vol 8 (5-s) ◽  
pp. 348-354 ◽  
Author(s):  
Samson Kibrom ◽  
Zelalem Tilahun ◽  
Solomon Assefa Huluka
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
Teaching Hospital ◽  
Adult Patients ◽  
Potential Drug ◽  
Potential Ddis ◽  
Pharmacodynamic Interaction ◽  
Cross Sectional ◽  
Tertiary Teaching ◽  
Tertiary Teaching Hospital

  Abstract Introduction: A Drug-drug interaction (DDI) is a decrease or increase in the pharmacological or clinical response to the administration of two or more drugs that are different from the anticipated response they initiate when individually administered. Objectives: To assess the prevalence and factors associated with potential DDIs among adult inpatients admitted to the medical wards of a tertiary teaching Hospital in Ethiopia. Methods: A retrospective cross-sectional study design was employed on adult patients who were admitted to the medical ward in one year period. A total of 384patients’ medical records were checked for a possible DDI using Micromedex DrugReax® drug interaction database and analyzed consecutively using SPSS version 20.0. Results: Among 384 adult patients enrolled in the study, 209 (54.4%) of them had medications with at least one potential DDI in their prescriptions. Of the 209 potential DDI, 26.3% were with a minimum of one major potential DDI. The median number of potential DDI per patient was 2.2. Overall, 296 potential DDI were identified in the current study. Among 296 identified potential drug-drug interactions, most of the interaction (49.7%) had good documentation. The number of medication prescribed per patient showed a significant (p< 0.001) association with the occurrence of potential DDIs. Conclusion: More than half of the patients’ prescription contains potentially interacting medications. This study, additionally, revealed that there is a significant association between potential DDIs and number of medications prescribed per patient. Key words: Drug-drug interactions, pharmacokinetic interaction, pharmacodynamic interaction, internal medicine

The Prevalence of Insecticide Treated Net/malaria :cross section study (Preprint)

2019 ◽  
Author(s):  
Chanda Chalela
Keyword(s):  
Study Design ◽  
Age Groups ◽  
Cross Sectional Study ◽  
Malaria Prevalence ◽  
Malaria Patient ◽  
P Value ◽  
Sectional Study ◽  
Cross Sectional ◽  
Itn Use ◽  
Structured Questionnaire

BACKGROUND ABSTRACT Introduction a study on prevalence of ITN use was carried out in Buchi community Kitwe Zambia from August to October 2019 OBJECTIVE Prevalence of ITN in BUchi METHODS Methodology: This was a cross sectional study design. A structured questionnaire was used to ascertain ownership and utilization and oral interviews, 200 households were targeted 844 individual covered across the 200 households. Data was analyzed with SPSS version 23. RESULTS ABSTRACT Introduction a study on prevalence of ITN use was carried out in Buchi community Kitwe Zambia from August to October 2019 Methodology: This was a cross sectional study design. A structured questionnaire was used to ascertain ownership and utilization and oral interviews, 200 households were targeted 844 individual covered across the 200 households. Data was analyzed with SPSS version 23. Findings: household ownership of at least an ITN was 52% and individual utilization at 37.6%, with 0.825 ITN/households and 0.195ITN /individual. Malaria prevalence of 52.4% /household and a 12.4% of the population. With 47.6% malaria patient coming from households with ITN and 60% of households with ITN have insufficient coverage.61% of malaria patient were female and 31 % male. however there was no significant relation between Gender and malaria prevalence in study area (p value was >0.05). Malaria cases distribution with age groups, 0-15yrs old represented 49.5%, 16-30 yrs., was at 27.6% and the over 30 yrs. case were at 22.9% .use of other preventive measures 23% used mosquito repellent ,others methods 1% with those not using any other methods 76%. CONCLUSIONS Conclusion The study showed clearly that malaria still poses a problem .the prevalence rate of malaria was still high 12.4% of the population and 52.4% of households. With high prevalence of malaria of 49.5% for 0-15yrs.the difference between ownership 52% and Utilization 37.6% showed that even household with ITN, the ITN were not sufficient.60% of households with ITN, the ITN were not sufficient for all occupants

scholarly journals Drug Prescription Profiles in Patients with Polypharmacy in Spain: A Large-Scale Pharmacoepidemiologic Study Using Real-World Data

2021 ◽  
Vol 18 (9) ◽  
pp. 4754
Author(s):  
Miguel Ángel Hernández-Rodríguez ◽  
Ermengol Sempere-Verdú ◽  
Caterina Vicens-Caldentey ◽  
Francisca González-Rubio ◽  
Félix Miguel-García ◽  
...  
Keyword(s):  
Psychotropic Drugs ◽  
Large Scale ◽  
Anatomical Therapeutic Chemical ◽  
Drug Prescription ◽  
Age Groups ◽  
System Level ◽  
Real World Data ◽  
Converting Enzyme Inhibitors ◽  
Cross Sectional ◽  
Β Blockers

We aimed to identify and compare medication profiles in populations with polypharmacy between 2005 and 2015. We conducted a cross-sectional study using information from the Computerized Database for Pharmacoepidemiologic Studies in Primary Care (BIFAP, Spain). We estimated the prevalence of therapeutic subgroups in all individuals 15 years of age and older with polypharmacy (≥5 drugs during ≥6 months) using the Anatomical Therapeutic Chemical classification system level 4, by sex and age group, for both calendar years. The most prescribed drugs were proton-pump inhibitors (PPIs), statins, antiplatelet agents, benzodiazepine derivatives, and angiotensin-converting enzyme inhibitors. The greatest increases between 2005 and 2015 were observed in PPIs, statins, other antidepressants, and β-blockers, while the prevalence of antiepileptics was almost tripled. We observed increases in psychotropic drugs in women and cardiovascular medications in men. By patient´s age groups, there were notable increases in antipsychotics, antidepressants, and antiepileptics (15–44 years); antidepressants, PPIs, and selective β-blockers (45–64 years); selective β-blockers, biguanides, PPIs, and statins (65–79 years); and in statins, selective β-blockers, and PPIs (80 years and older). Our results revealed important increases in the use of specific therapeutic subgroups, like PPIs, statins, and psychotropic drugs, highlighting opportunities to design and implement strategies to analyze such prescriptions’ appropriateness.

scholarly journals POTENTIAL DRUG INTERACTIONS IN HYPERTENSIVE PATIENTS IN LIWA DISTRICT HOSPITAL, LAMPUNG BARAT, INDONESIA

2017 ◽  
Vol 9 (6) ◽  
pp. 134
Author(s):  
Erna Yanti ◽  
Erna - Kristin ◽  
Alfi Yasmina
Keyword(s):  
Drug Interactions ◽  
District Hospital ◽  
Antihypertensive Agents ◽  
Potential Interaction ◽  
Multiple Drug ◽  
Potential Drug ◽  
Cross Sectional ◽  
Hypertensive Patients ◽  
Multiple Drugs ◽  
Potential Interactions

Objective: Patients with hypertension often suffer from other comorbidities, resulting in prescriptions of multiple drugs to treat the conditions. Multiple drug treatment is potentially associated with drug interactions. This aim of the study was to assess potential drug interactions in hypertensive patients in Liwa District Hospital.Methods: The design of the study was cross-sectional. The prescriptions for in-patients with essential hypertension in the Internal Medicine Unit in Liwa District Hospital during April-December 2012 were collected. Potential drug interactions were analyzed with the Drug Interaction Facts version 4.0, and classified into minor, significant, and serious.Results: A total of 60 hypertensive patients were included. They were prescribed 265 prescriptions, with a median total of 6 (range 1-21) drugs prescribed per prescription. There were 1616 potential drug interactions, with 6 (1-31) potential interactions per prescription. Most interactions (75.6%) were classified as significant. Serious potential interactions were most common in the combinations of diltiazem-amlodipine and spironolactone-potassium chloride, while significant potential interaction may occur most often with the combinations of calcium chloride-amlodipine and bisoprolol-amlodipine.Conclusion: Numerous potential drug interactions might occur in hypertensive patients, and most interactions were significant in severity. The largest proportion of the interactions occurred between antihypertensive agents and other drugs. 

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