Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
Eur Rev Med Pharmacol Sci ; 27(18): 8924-8933, 2023 Sep.
Article in English | MEDLINE | ID: mdl-37782201

ABSTRACT

OBJECTIVE: The dispensing of anabolic androgenic steroids (AAS) in Jordan is still unregulated, and AAS are available without a prescription. This study aimed to assess the prevalence of AAS abuse among gym users and their knowledge, perception, and practices towards using these AAS. SUBJECTS AND METHODS: This cross-sectional study was conducted online in November-December 2022. Participants were recruited if they were adults attending any gym facility in Jordan. RESULTS: A total of 365 adult participants agreed to participate in this study. Concerning participants' knowledge about AAS side effects, the median knowledge score of the participants was 7.0 scores (Interquartile range=7.0) out of 15. Indeed, 14.2% of the participants (n=52) reported using AAS during their gym participation. Participants reported that the most common source for obtaining AAS was the gym trainers (n=38, 70.4%), and the most common reason for using AAS was to increase lean body weight (n=52, 96.3%). Also, among the AAS users, two-thirds reported having never experienced side effects after using AAS. Finally, regression analysis revealed that males had 3.35 times higher usage of AAS than females (OR=3.351, p-value=0.008). CONCLUSIONS: The findings of this study show a comparatively high prevalence of AAS use among gymgoers. Therefore, it is critical to have policies prohibiting their usage without a prescription. There should be more awareness about the negative effects of AAS in criminal activities, and it should be included in public awareness programs.


Subject(s)
Anabolic Agents , Drug-Related Side Effects and Adverse Reactions , Substance-Related Disorders , Adult , Female , Male , Humans , Anabolic Androgenic Steroids , Cross-Sectional Studies , Jordan/epidemiology , Perception , Exercise , Anabolic Agents/adverse effects
2.
Int J Clin Pharm ; 42(2): 765-771, 2020 Apr.
Article in English | MEDLINE | ID: mdl-32279235

ABSTRACT

Background Antimicrobial resistance is correlated with the inappropriate use of antibiotics. Computerised decision support systems may help practitioners to make evidence-based decisions when prescribing antibiotics. Objective This study aimed to evaluate the impact of computerized decision support systems on the volume of antibiotics used. Setting A very large 1200-bed teaching hospital in Birmingham, England. Main outcome measure The primary outcome measure was the defined daily doses/1000 occupied bed-days. Method A retrospective longitudinal study was conducted to examine the impact of computerised decision support systems on the volume of antibiotic use. The study compared two periods: one with computerised decision support systems, which lasted for 2 years versus one without which lasted for 2 years after the withdrawal of computerised decision support systems. Antibiotic use data from June 2012 to June 2016 were analysed (comprising 2 years with computerised decision support systems immediately followed by 2 years where computerised decision support systems had been withdrawn). Regression analysis was applied to assess the change in antibiotic consumption through the period of the study. Result From June 2012 to June 2016, total antibiotic usage increased by 13.1% from 1436 to 1625 defined daily doses/1000 bed-days: this trend of increased antibiotic prescribing was more pronounced following the withdrawal of structured prescribing (computerised decision support systems). There was a difference of means of - 110.14 defined daily doses/1000 bed days of the total usage of antibiotics in the period with and without structured prescribing, and this was statistically significant (p = 0.026). From June 2012 to June 2016, the dominant antibiotic class used was penicillins. The trends for the total consumption of all antibiotics demonstrated an increase of use for all antibiotic classes except for tetracyclines, quinolones, and anti-mycobacterial drugs, whereas aminoglycoside usage remained stable. Conclusion The implementation of computerised decision support systems appears to influence the use of antibiotics by reducing their consumption. Further research is required to determine the specific features of computerised decision support systems, which influence increased higher adoption and uptake of this technology.


Subject(s)
Anti-Bacterial Agents/administration & dosage , Decision Support Systems, Clinical/standards , Drug Resistance, Multiple, Bacterial/drug effects , Electronic Prescribing/standards , Hospitals, Teaching/standards , Decision Support Systems, Clinical/trends , Drug Resistance, Multiple, Bacterial/physiology , England/epidemiology , Hospitals, Teaching/trends , Humans , Longitudinal Studies , Retrospective Studies
SELECTION OF CITATIONS
SEARCH DETAIL
...