scholarly journals Drug Use Evaluation of Crystalline Penicillin in Pediatrics Ward of Dessie Referral Hospital, North East Ethiopia: A Hospital Based Cross Sectional Study

2020 ◽  
Author(s):  
Taklo Simeneh Yazie ◽  
Ayalneh Gedif Tessema
Keyword(s):  
Drug Interaction ◽  
Cross Sectional Study ◽  
Referral Hospital ◽  
Antibiotic Prescribing ◽  
Sectional Study ◽  
Prescribing Practices ◽  
Cross Sectional ◽  
North East ◽  
Significant Difference ◽  
Dessie Referral Hospital

Background: Antibiotic resistance is a worldwide issue due to rise of antibiotic consumption and wide variation in antibiotic prescribing practices. Crystalline penicillin is the most highly consumed antibiotics by hospitalized pediatrics patients in Dessie Referral Hospital and its utilization pattern is not known in the study area. The objective is to assess the appropriateness of crystalline penicillin use in pediatrics ward of Dessie Referral Hospital, Northeast Ethiopia. Methods: A hospital based cross-sectional study was used for evaluating medication records of hospitalized pediatric patients who received crystalline penicillin from October to December 2018. Results: A total of 262 hospitalized pediatrics patient records were included in the study. All the 262 (100%) cases were consistent with guidelines for contraindication and drug interaction to use the drug. Crystalline penicillin use was consistent with guideline recommendations in 93.8%, 92.8%, 89.6%, 66.7% and 39.4% of the cases with regard to, indication, outcome, frequency, dose and duration of treatment, respectively. The observed value of all drug utilization evaluation parameters except drug interaction and contraindication showed statistically significant difference from the set threshold in nonparametric binomial test. Conclusion: The result of the current study especially with regard to dose and duration is much below the recommended threshold and needs scheduled trainings and necessary interventions to tackle the problem.

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.

scholarly journals Prescribing practices using WHO prescribing indicators and factors associated with antibiotic prescribing in six community pharmacies in Asmara, Eritrea: a cross-sectional study

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Nebyu Daniel Amaha ◽  
Dawit G. Weldemariam ◽  
Nuru Abdu ◽  
Eyasu H. Tesfamariam
Keyword(s):  
Sampling Technique ◽  
Cross Sectional Study ◽  
Essential Medicines ◽  
Community Pharmacies ◽  
Antibiotic Prescribing ◽  
Sectional Study ◽  
Prescribing Practices ◽  
Cross Sectional ◽  
Prescribing Indicators ◽  
Factors Affecting

Abstract Background Antibiotics require more prudent prescribing, dispensing and administration than other medicines because these medicines are at a greater risk of antimicrobial resistance (AMR). Studying the current medicine use practices and factors affecting the prescribing of an antibiotic would help decision makers to draft policies that would enable a more rational use of medicines. Methods A prospective, descriptive, and cross-sectional study was conducted to assess the current prescribing practices including antibiotics use in six community pharmacies in Asmara. A total of 600 encounters were reviewed using the WHO core prescribing indicators between May 5 and May 12, 2019 using stratified random sampling technique. Descriptive statistics and logistic regression were employed using IBM SPSS® (version 22). Results The average number of medicines per prescription was 1.76 and 83.14% of the medicines were prescribed using generic names while 98.39% of the medicines were from the National Essential Medicines List (NEML). The percentage of prescriptions containing antibiotics was 53%. The number of encounters containing injections was 7.8%. Patient age, gender and number of medicines prescribed were significantly associated with antibiotic prescribing at bivariate and multivariable models. Subjects under the age of 15 were approximately three times more likely to be prescribed antibiotic compared to subjects whose age is 65 and above (Adjusted Odds Ratio (AOR): 2.93, 95%CI: 1.71–5). Similarly, males were more likely to be prescribed antibiotic than females (AOR: 1.57, 95%CI: 1.10–2.24). Subjects to whom three to four medicines prescribed were two times more likely to be prescribed an antibiotic compared to those who were to be prescribed one to two medicines per encounter (AOR: 2.17, 95%CI: 1.35–3.5). A one-unit increase in the number of medicines increased the odds of antibiotic prescribing increased by 2.02 units (COR: 2.02; 95%CI: 1.62–2.52). Conclusions This study found that the percentage of antibiotics being prescribed at the community pharmacies in Asmara was 53% which deviated significantly from the WHO recommended values (20–26.8%). Furthermore, the percentage of encounters with an injection was 7.8% lower than the WHO value of 13.4–24.0%. Patients’ age, gender and number of medicines were significantly associated with antibiotic prescribing.

scholarly journals Appropriateness of Antibiotic Prescribing for Acute Sinusitis in Primary Care: A Cross-sectional Study

2020 ◽  
Author(s):  
Katie N Truitt ◽  
Tiffany Brown ◽  
Ji Young Lee ◽  
Jeffrey A Linder
Keyword(s):  
Primary Care ◽  
Cross Sectional Study ◽  
Acute Sinusitis ◽  
Antibiotic Prescribing ◽  
Sectional Study ◽  
Cross Sectional ◽  
Significant Difference

Abstract The proportion of sinusitis visits that meet antibiotic prescribing criteria is unknown. Of 425 randomly selected sinusitis visits, 50% (214) met antibiotic prescribing criteria. There was no significant difference in antibiotic prescribing at visits that did (205/214 [96%]) and did not (193/211 [92%]; P = .07) meet antibiotic prescribing criteria.

scholarly journals Antibiotic prescribing practices of dentists for endodontic infections; a cross-sectional study

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244585
Author(s):  
Sheela B. Abraham ◽  
Nizam Abdulla ◽  
Wan Harun Himratul-Aznita ◽  
Manal Awad ◽  
Lakshman Perera Samaranayake ◽  
...  
Keyword(s):  
United Arab Emirates ◽  
Cross Sectional Study ◽  
Antibiotic Prescribing ◽  
Prescribing Practices ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Systemic Involvement ◽  
Dental Practitioners ◽  
Significant Difference ◽  
Endodontic Infections

Objective The indiscriminate prescription of antibiotics has led to the emergence of resistance microbes worldwide. This study aimed to investigate the antibiotic prescribing practices amongst general dental practitioners and specialists in managing endodontic infections in the United Arab Emirates (UAE). Design General dental practitioners and specialists in the UAE were invited to participate in an online questionnaire survey which included questions on socio-demographics, practitioner’s antibiotic prescribing preferences for various pulpal and periapical diseases, and their choice, in terms of the type, dose and duration of the antibiotic. The link to the survey questionnaire was sent to 250 invited dentists. Data were analyzed by descriptive statistics and chi-square tests for independence and level of significance was set at 0.05. Results A total of 174 respondents participated in the survey (response rate = 70%). The respondents who prescribed antibiotics at least once a month were 38.5% while 17.2% did so, more than three times a week; amoxicillin 500 mg was the antibiotic of choice for patients not allergic to penicillin (43.7%), and in cases of penicillin allergies, erythromycin 500 mg (21.3%). There was a significant difference in the antibiotic prescribing practices of GDPs compared to endodontists and other specialties especially in clinical cases such as acute apical abscesses with swelling and moderate to severe pre-operative symptoms and retreatment of endodontic cases (p<0.05). Approximately, three quarters of the respondents (78.7%) did not prescribe a loading dose when prescribing antibiotics. About 15% respondents prescribed antibiotics to their patients if they were not accessible to patients due to a holiday/weekend. Conclusions In general, the antibiotic prescribing practices of UAE dentists are congruent with the international norms. However, there were occasions of inappropriate prescriptions such as in patients with irreversible pulpitis, necrotic pulps with no systemic involvement and/or with sinus tracts.

scholarly journals Relationship between prescribing of antibiotics and other medicines in primary care: a cross-sectional study

2018 ◽  
Vol 69 (678) ◽  
pp. e42-e51 ◽  
Author(s):  
Yan Li ◽  
Anna Mölter ◽  
Andrew White ◽  
William Welfare ◽  
Victoria Palin ◽  
...  
Keyword(s):  
Primary Care ◽  
Cross Sectional Study ◽  
Practice Research ◽  
Clinical Practice Research Datalink ◽  
Antibiotic Prescribing ◽  
Sectional Study ◽  
Prescribing Practices ◽  
Cross Sectional ◽  
General Practices ◽  
The Uk

BackgroundHigh levels of antibiotic prescribing are a major concern as they drive antimicrobial resistance. It is currently unknown whether practices that prescribe higher levels of antibiotics also prescribe more medicines in general.AimTo evaluate the relationship between antibiotic and general prescribing levels in primary care.Design and settingCross-sectional study in 2014–2015 of 6517 general practices in England using NHS digital practice prescribing data (NHS-DPPD) for the main study, and of 587 general practices in the UK using the Clinical Practice Research Datalink for a replication study.MethodLinear regression to assess determinants of antibiotic prescribing.ResultsNHS-DPPD practices prescribed an average of 576.1 antibiotics per 1000 patients per year (329.9 at the 5th percentile and 808.7 at the 95th percentile). The levels of prescribing of antibiotics and other medicines were strongly correlated. Practices with high levels of prescribing of other medicines (a rate of 27 159.8 at the 95th percentile) prescribed 80% more antibiotics than low-prescribing practices (rate of 8815.9 at the 5th percentile). After adjustment, NHS-DPPD practices with high prescribing of other medicines gave 60% more antibiotic prescriptions than low-prescribing practices (corresponding to higher prescribing of 276.3 antibiotics per 1000 patients per year). Prescribing of non-opioid painkillers and benzodiazepines were also strong indicators of the level of antibiotic prescribing. General prescribing levels were a much stronger driver for antibiotic prescribing than other risk factors, such as deprivation.ConclusionThe propensity of GPs to prescribe medications generally is an important driver for antibiotic prescribing. Interventions that aim to optimise antibiotic prescribing will need to target general prescribing behaviours, in addition to specifically targeting antibiotics.

A Cross-Sectional Study to Evaluate Adherence to the Ten Steps to Successful Breastfeeding at a Referral Hospital in Rwanda

2018 ◽  
Author(s):  
Janvier Hitayezu ◽  
David Ntirushwa ◽  
Jean Claude Ntiyamira ◽  
Jeannette Kayitesi ◽  
Rose Mary Murungi ◽  
...  
Keyword(s):  
Cross Sectional Study ◽  
Referral Hospital ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Comparison of predicted psychological distress among workers between artificial intelligence and psychiatrists: a cross-sectional study in Tsukuba Science City, Japan

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046265
Author(s):  
Shotaro Doki ◽  
Shinichiro Sasahara ◽  
Daisuke Hori ◽  
Yuichi Oi ◽  
Tsukasa Takahashi ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Psychological Distress ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Explanatory Variables ◽  
The Neural Network ◽  
Significant Difference ◽  
Total Data

ObjectivesPsychological distress is a worldwide problem and a serious problem that needs to be addressed in the field of occupational health. This study aimed to use artificial intelligence (AI) to predict psychological distress among workers using sociodemographic, lifestyle and sleep factors, not subjective information such as mood and emotion, and to examine the performance of the AI models through a comparison with psychiatrists.DesignCross-sectional study.SettingWe conducted a survey on psychological distress and living conditions among workers. An AI model for predicting psychological distress was created and then the results were compared in terms of accuracy with predictions made by psychiatrists.ParticipantsAn AI model of the neural network and six psychiatrists.Primary outcomeThe accuracies of the AI model and psychiatrists for predicting psychological distress.MethodsIn total, data from 7251 workers were analysed to predict moderate and severe psychological distress. An AI model of the neural network was created and accuracy, sensitivity and specificity were calculated. Six psychiatrists used the same data as the AI model to predict psychological distress and conduct a comparison with the AI model.ResultsThe accuracies of the AI model and psychiatrists for predicting moderate psychological distress were 65.2% and 64.4%, respectively, showing no significant difference. The accuracies of the AI model and psychiatrists for predicting severe psychological distress were 89.9% and 85.5%, respectively, indicating that the AI model had significantly higher accuracy.ConclusionsA machine learning model was successfully developed to screen workers with depressed mood. The explanatory variables used for the predictions did not directly ask about mood. Therefore, this newly developed model appears to be able to predict psychological distress among workers easily, regardless of their subjective views.

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