12 research outputs found

    Patterns and Predictors of Depression Treatment among Older Adults with Parkinson’s Disease and Depression in Ambulatory Care Settings in the United States

    No full text
    Little is known regarding depression treatment patterns and predictors among older adults with comorbid Parkinson's disease and depression (dPD) in the United States (US). The objective of this study was to assess the patterns and predictors of depression treatment among older adults with dPD in the US. We adopted a cross-sectional study design by pooling multiple-year data (2005–2011) from the National Ambulatory Medical Care Survey (NAMCS) and the outpatient department of the National Hospital Ambulatory Medical Care Survey (NHAMCS). The final study sample consisted of visits by older adults with dPD. Depression treatment was defined as antidepressant use with or without psychotherapy. To identify predictors of depression treatment, multivariate logistic regression analysis was conducted adjusting for predisposing, enabling, and need factors. Individuals with dPD and polypharmacy were 74% more likely to receive depression treatment (odds ratio = 1.743, 95% CI 1.376–2.209), while dPD subjects with comorbid chronic conditions were 44% less likely (odds ratio = 0.559, 95% CI 0.396–0.790) to receive depression treatment. Approximately six out of ten older adults with PD and depression received depression treatment. Treatment options for dPD are underutilized in routine clinical practice, and further research should explore how overall medical complexity presents a barrier to depression treatment.Open Access Article. UA Open Access Publishing Fund.This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

    Attitude and knowledge of Saudi community pharmacists towards use of proton pump inhibitors

    No full text
    Introduction: Proton pump inhibitors (PPIs) effectively suppress acid secretion and play an important role in peptic ulcer disease and gastroesophageal reflux disease. There is a real concern about the overutilization of PPIs, which will lead to significant high cost and undesirable outcomes. Despite that most of PPIs are classified as prescribed medications, yet most of their users take them without prescription in Saudi Arabia. Therefore, it was important to understand community pharmacists practice in dealing with PPIs and to evaluate their despising pattern of these medications. Method: A cross-sectional survey-based study that was carried out between September and December 2017. The survey intended to evaluate the knowledge and attitude of CPs towards use of proton pump inhibitors and was built as an online survey. Results: The results of this study showed that almost all CPs prescribe anti-ulcer drugs for their patients. Most of the participants (68.4%) have prescribed PPI for acute gastritis (68.4%), prophylaxis for stress ulcers (17.7%) and stress ulcer (11.1%). 54.9 percent of the participants recommend using acid suppression drugs for 1 to 2 weeks when they prescribe them to their patients. Thirty-two percent of the respondents had reported adverse events with PPIs. The study showed a significant association between length of work experience in community pharmacy and reporting adverse events. Conclusion: Community pharmacists in Saudi Arabia usually recommend and prescribe PPIs to their patients. Most of them have some knowledge on PPIs indications and side effects. Managing OTC PPI use in the community pharmacy setting is necessary to promote both patient and medication safety. Keywords: PPIs, Community pharmacy, Perception, Attitud

    Evaluation of community pharmacists’ knowledge about drug–drug interaction in Central Saudi Arabia

    No full text
    Introduction: Although all implemented and ongoing initiatives, drug-drug interactions (DDIs) are still a global problem. Most published studies about DDIs in Saudi Arabia are carried out in hospital settings. In addition, assessing the knowledge of drug interactions in Saudi Arabia is limited. The aim of our study is to evaluate the knowledge of potential common drug-drug interactions among community pharmacists particularly in Saudi Arabia. Methodology: A crosses-sectional study utilizing a self- administered questionnaire was conducted among community pharmacy in Riyadh city Saudi Arabia. DDIs' knowledge was assessed by 26 drug pairs. Community pharmacists were asked to select the DDIs as “contraindication”, “may be used together with monitoring”, “no interaction” and “not sure”. Results: A total of 283 of community pharmacists completed the survey with response rate of 80.9%. Among the 26 drug pairs only 5 of them were identified correctly by most of the participants. To add more 3 out of the 5 pairs had a cutoff of less than 10% between the correct and wrong answer, meaning there still a majority that couldn't identify the correct answer. All the 26 pairs had a statistically significant difference between the correct and incorrect answer. Conclusion: The results of this study showed that knowledge of community pharmacists about DDIs was inadequate. Community pharmacist should have specific courses in drug interactions to cover the most possible interactions that can be seen in this setting. Keywords: Drug-drug interaction, Community pharmacis

    Knowledge of community pharmacists about the risks of medication use during pregnancy in central region of Saudi Arabia

    No full text
    Background: Community pharmacists (CPs) are the most accessible health care provider to the public, and they have huge duties to improve medication use especially among the pregnant women in their community. The objective of this study was to evaluate knowledge of CPs about the medication safety during pregnancy. Methods: A prospective cross-sectional survey was carried out over practicing community pharmacists in a capital of Saudi Arabia (SA). Pharmacists were asked about the safety of each medicine during pregnancy. It involved both prescription-only medications (POM) and over-the-counter (OTC) medications. Both descriptive and analytic statistics were utilized. For descriptive analysis, results were expressed as numbers, percentages and mean (±SD and 95% CI). Results: The response rate was (71.1%). Most of the respondents (69.6%) believed that alprazolam is not safe while 22% of respondents believed that it is used on basis of risk-benefit assessment. Also, most of CPs (65.2%) said that amoxicillin is safe, but a very few of CPs (11.7%) knew that tetracycline should be used only if potential benefits may outweigh the risk. Among non-prescribed analgesics, majority of CPs (92.6%) knew that acetaminophen is safe. About dietary supplements, 48.4% of CPs reported that Vitamin A supplements are not safe. There was significant difference observed between age groups of CPs in scores of knowledge test (P = 0.001). Conclusion: Community Pharmacists are the most accessible health care providers who can help pregnant women with their medications use there are still gaps in knowledge where educational interventions are needed

    Assessment of Pharmacists’ Knowledge and Practices towards Prescribed Medications for Dialysis Patients at a Tertiary Hospital in Riyadh Saudi Arabia

    No full text
    Objective: The present study examined pharmacists’ knowledge and practices towards prescribed medications for hemodialysis patients. The impact of a pharmacist’s current positions and years of experience on practices and knowledge was also assessed. Methods: A cross-sectional survey was distributed to pharmacists working at King Abdul-Aziz Medical City-Central Region over a period of 4 months from July to October in 2015. Results: Of the 85 approached pharmacists, 66 pharmacists completed the questionnaire, among which 45 (68.2%), 9 (13.6%), and 12 (18.2%) of them were outpatient hospital pharmacists, discharge counselling pharmacists, and pharmacy practice residents, respectively. In total, 47 (55.3%) of the pharmacists sought drug information resources for newly prescribed medications to hemodialysis patients. Among the surveyed pharmacists, around two-thirds of them (63.6%) were completely confident during counselling hemodialysis patients, while 32% were moderately confident, and only 4.5% were not confident. All of the participating pharmacists checked each patient’s allergic status before dispensing hemodialysis medications. The majority of the outpatient hospital pharmacists (35; 77.8%), discharge pharmacists (8; 88.9%), and the pharmacy practice residents (11; 91.7%) agreed that oral ciprofloxacin should be given after dialysis session on the same dialysis days, while 18 (40%), 5 (55.6%), and 9 (75%) of the outpatient hospital pharmacists, discharge pharmacists, and pharmacy practice residents agreed that IV route is preferred for hemodialysis patients to administer epoetin alfa, respectively. Sixty-six percent of discharge pharmacists (n = 6), 91.7% (n = 11) of the pharmacy practice residents, and 55.6% (n = 25) of the outpatient hospital pharmacists checked patient laboratory results prior to dispensing medications (p = 0.001). Conclusions: Despite the limited knowledge regarding some prescribed medications, most of the hospital pharmacists showed good practices toward dialysis patients

    Prevalence and Self-Medication for Acne among Students of Health-Related Science Colleges at King Saud University in Riyadh Region Saudi Arabia

    No full text
    Background and Objectives: In Saudi Arabia, Acne vulgaris is a very predominant ailment among adolescents, especially female university students, and self-medication has become a trend to manage this condition. To determine the prevalence of Acne vulgaris among health care students and to access the scenario of its self-medication in light of students’ knowledge, attitude, and practice towards it. Materials and Methods: This was an observational study conducted at King Saud University, Riyadh, Kingdom of Saudi Arabia, from January 2022 to March 2022. The study was undertaken using a pre-structured questionnaire. Results: A total of 550 university students were recruited and the incidence of acne was observed to be 78.5% (432 out of 550) with a female predominance. A total of 56.0% (244 of 432) students used self-medications for acne without a prescription and the most used prescription drugs were topical and oral antibiotics (38.1%), followed by Isotretinoin (22.55), and topical adaplene (20.9%). Female students (n = 181, 63.5%) were significantly more likely to self-medicate compared to male students (n = 63, 42.9%, p ≤ 0.001). Almost 60% of medical students had proper knowledge of medication for acne. Conclusion: Acne vulgaris is a highly prevalent condition among university students of Saudi Arabia and use of self-medication among acne sufferers is high. Education programs should be made to raise awareness about acne and its treatment

    COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset

    Get PDF
    COVID-19 pandemic has caused a global health crisis, resulting in endless efforts to reduce infections, fatalities, and therapies to mitigate its after-effects. Currently, large and fast-paced vaccination campaigns are in the process to reduce COVID-19 infection and fatality risks. Despite recommendations from governments and medical experts, people show conceptions and perceptions regarding vaccination risks and share their views on social media platforms. Such opinions can be analyzed to determine social trends and devise policies to increase vaccination acceptance. In this regard, this study proposes a methodology for analyzing the global perceptions and perspectives towards COVID-19 vaccination using a worldwide Twitter dataset. The study relies on two techniques to analyze the sentiments: natural language processing and machine learning. To evaluate the performance of the different lexicon-based methods, different machine and deep learning models are studied. In addition, for sentiment classification, the proposed ensemble model named long short-term memory-gated recurrent neural network (LSTM-GRNN) is a combination of LSTM, gated recurrent unit, and recurrent neural networks. Results suggest that the TextBlob shows better results as compared to VADER and AFINN. The proposed LSTM-GRNN shows superior performance with a 95% accuracy and outperforms both machine and deep learning models. Performance analysis with state-of-the-art models proves the significance of the LSTM-GRNN for sentiment analysis
    corecore