ObjectiveTo investigate whether number of doses per day and number of medications are significantly associated with the number of readmissions and to study the association of readmission frequency with other medical and socio-demographic variables.MethodsRetrospective cross-sectional study involving 432 patients who were readmitted within 15 days of previous hospital discharge between January 1, 2013 and March 31, 2013. Relevant medical records were collected from the national electronic databases of every public tertiary hospital in Singapore. Significant variables (p < 0.05) were identified using forward selection and modeled using generalized linear mixed models.ResultsA total of 649 unplanned readmissions were reviewed. At a multivariable level, number of readmission was significantly associated with the number of medications (p = 0.002) and number of doses per day (p = 0.003) after adjusting for race, liver disease, schizophrenia and non-compliance.ConclusionComplex medication regimen (i.e. multiple medications and multiple doses per day) is a statistically significant predictor of number of readmissions. Simplifying therapeutic regimens with alternatives such as longer-acting or fixed-dose combination drugs may facilitate better patient adherence and reduce costly readmissions.

We have created and pilot-tested OncoRx-IQ, a quality assessment tool, which helps clinicians systematically evaluate the quality and information accuracy of drug databases for anticancer drug interaction information. We hope this tool can lay the groundwork for future long-term evaluation of online drug interaction information.

Background: Geriatric patients are more vulnerable to infections and need special consideration on antibiotic use. Resistance to antibiotics among infectious bacteria has developed within a short span. There is a direct correlation between the consumption of antibiotics and the development of resistance. And surprisingly very few literatures were available on antibiotic consumption in geriatric population using defined daily dose (DDD) concept which paved the idea to conduct this study.Methods: A prospective observational study was carried out from November 2018 to April 2019. A total of 206 prescriptions of elderly patients were included in the study. The antibiotics were categorized by anatomical therapeutic classification (ATC) and DDD indicator/1000 inhabitants/day (DID) was used to figure out antibiotic consumption.Results: About 25.2% of patients were treated with antibiotics for respiratory tract infections. The patients received antibiotics empirically (53.8%) and without bacteriological investigation (58.73%). The overall consumption of antibiotics was 20.47 DID in which oral antibiotics was (8.5 DID) 42% and parenteral antibiotics (11.8 DID) 58%. Cephalosporins was observed to be the most consumed antibiotics (33.2%), specifically cefotaxime (14.6%) and ceftriaxone (12.6%). Moreover, 54.4% of antibiotics consumed from watch category of World Health Organisation (WHO) essential medicines list (EML) which was completely against WHO standard proportion.Conclusions: Higher consumption of cephalosporins, which falls into watch category was analysed in geriatric patients. These broad-spectrum antibiotics have high potential to develop antimicrobial resistance. A strict antibiotic policy is needed to be framed that enhance rational prescribing practices in geriatrics.

Increased length of stay (LOS) in the hospital incurs substantial financial costs on the healthcare system. Multiple factors are associated with LOS. However, few studies have been done to associate the impact of Total Daily Doses (TDD) and LOS. Hence, the aim of this study is to examine the association between patients' LOS upon readmission and their TDD before readmission. A retrospective cross-sectional study of readmission cases occurring from 1st January to 31st March 2013 was conducted at a regional hospital. Demographics and clinical variables were collected using electronic medical databases. Univariable and multiple linear regressions were used. Confounders such as comorbidities and drug related problems (DRP) were controlled for in this study. There were 432 patients and 649 readmissions examined. The average TDD and LOS were 18.04 ± 8.16 and 7.63 days ± 7.08 respectively. In the univariable analysis, variables that were significantly associated with the LOS included age above 75 year-old, race, comorbidity, number of comorbidities, number of medications, TDD and thrombocytopenia as DRPs. In the multiple linear regression, there was a statistically significant association between TDD (β = 0.0733, p = 0.030) and LOS. Variables that were found significant were age above 75 year-old (β = 1.5477, p = 0.008), Malay (β = -1.5123, p = 0.033), other races (β = -2.6174, p = 0.007), depression (β = 2.1551, p = 0.031) and thrombocytopenia as a type of DRP (β = 7.5548, p = 0.027). When TDD was replaced with number of medications, number of medications (β = 0.1487, p = 0.021), age of 75 year-old (β = 1.5303, p = 0.009), Malay (β = -1.4687, p = 0.038), race of others (β = -2.6499, p = 0.007), depression (β = 2.1951, p = 0.028) and thrombocytopenia as a type of DRP (β = 7.5260, p = 0.028) were significant. In conclusion, a significant relationship between TDD and number of medications before readmission and the LOS upon readmission was established. This finding highlights the importance of optimizing patients' TDD in the attempt of reducing their LOS.

Background: The objectives of the study were to use the anatomical therapeutic chemical classification (ATC) /defined daily dose (DDD) concept to study the drug utilization pattern in geriatric patients in a rural tertiary care teaching hospital.Methods: An observational study was conducted at Rajah Muthiah Medical College Hospital (OPD and IPD) over a period of six months from November 2018 to April 2019. The data was collected from 204 patients using specially designed data collection form. The patients were selected based on inclusion and exclusion criteria. Results: A total of 204 patients were included in this study. The study population consisting of males 130 (63.7%) and females 74 (36.2%). Diseases related to the cardiovascular system 67 (32.84%) were the most common cause for the geriatric patients to attend the hospital, followed by surgical diseases 47 (23.03%), Oncological diseases 2 (0.98%) were the least frequency encountered. The average number of drugs prescribed per prescription was 8.79. Out of 1795 drugs prescribed, 60.86% of drugs were prescribed in generic form, and 39.14% were prescribed in brand name. The study analysed that 71.25% of drugs prescribed were from essential drug list (EDL) 2016-2018. Number of prescriptions with an injection was 74.04%. Paracetamol (N02B01) was the most frequently prescribed drug, followed by Amlodipine (C08CA01), Dexamethasone (H02AB02), Clopidogrel (B01AC04), Ferrous sulfate (B03AA07), Acetylsalicylic acid (B01AC06), Hydrocortisone (H02AB09), Tamsulosin (G04CA02), Atorvastatin (C10AA05), Furosemide (C03CA01).Conclusions: Drug utilization study can help in evaluating the quality of care given to the geriatric patients and promote rational use of medicines.