MATERIALS AND METHODS: A prospective cross-sectional study was carried out to evaluate the prescribing, and dispensing errors in outpatients who seek patient counseling at the tertiary care multispecialty hospital. The data were collected from various sources such as patient's prescriptions and dispensing records from the pharmacy.
RESULTS: A total of 500 prescriptions were screened and identified 65.60% of prescriptions with at least any one type of medication errors. Out of 328 prescriptions, 96.04% were handwritten and 3.96% were computerised prescriptions. Among the 328 prescriptions with medication errors, 32.62% noticed prescribing errors, 37.80% with dispensing errors, and 29.58% with both prescribing and dispensing errors. Out of these 328 prescriptions, 74.09% prescriptions were found to have polypharmacy.
DISCUSSION: Medication errors are serious problems in healthcare and can be a source of significant morbidity and mortality in healthcare settings. The present study showed that dispensing errors were the most common among the types of medication errors, in these particularly wrong directions were the most common types of errors.
CONCLUSION: This study concludes that the overall prevalence of medication errors was around 80%, but there were no life-threatening events observed. A clinical pharmacist can play a major role in this situation appears to be a strong intervention and early detection and prevention of medication errors and thus can improve the quality of care to the patients.
METHODS: Latent class analysis (LCA) was employed to model the co-occurrence of PTEs in two school samples of adolescents from India (n = 411) and Malaysia (n = 469). Demographic correlates (i.e., sex, age, household composition, parent education) of the latent classes and the association between latent class membership and probable diagnosis of posttraumatic stress disorder (PTSD) were examined.
RESULTS: The LCA identified three latent classes for the Indian sample: 'Low Risk - moderate sexual trauma', 'Moderate Risk', and 'High Risk'. Similarly, three classes were also identified for the Malaysian sample: 'Low Risk', 'Moderate Risk', and 'High Risk'. Membership of 'Moderate Risk' was associated with male sex in both samples, and with older age and lower levels of parental education attainment in the Malaysian sample. No correlates of 'High Risk' class were identified in either sample. Membership of the 'High Risk' class was significantly associated with probable PTSD diagnosis in both samples, while membership of the 'Moderate Risk' class was associated with probable PTSD diagnosis in the Malaysian sample.
CONCLUSION: Findings from this study correspond with Western studies indicating co-occurrence of PTEs to be common and to represent a salient risk factor for the development of PTSD.
METHOD: Thirty patients with single or multiple fractures were selected purposively for descriptive survey study between January 2018 to December 2018. Their ages varied from 41 to 80 years. There were 26 female and four males. 24 patients have single fracture and six had multiple fractures following low impact trauma. The demographic parameters were studied by structured interview schedule, and the research variable, the risk factors were studied by interview, biophysical assessment and records of BMD value through DEXA and serum level of vitamin D. Socio-demographic variables like age, sex, body weight, Body mass index (BMI), etc. were selected and their relationship were assessed to find out the risk factors of fragility fractures in society by research variables like risk factors of osteoporotic fractures. For statistical analysis of determination of association between such factors and fragility fractures, non-parametric Fisher exact test and Odds ratio was used.
RESULTS: In our study, osteoporotic fractures occurred majority (86.66%) among female maximally among 60-69 years age group. Whereas in relatively younger age (40-60 years), abnormal BMI (low or high) is responsible for fragility fracture as 46.6% of such fractures occurred in this group as 20% fracture are associated with underweight and 40.66% with overweight BMI. Tobacco smoking increases the risk of fragility fractures twice (as relative risk ratio 2) and rheumatoid arthritis increases the six-fold (as relative risk ratio 6). All 100% had history of fall. Level of serum vitamin D, low DEXA scan value (less than -2.5) and fall on ground resulting in low impact injuries shows strong association between those and fragility fractures. On the other hand, all the risk factors remain same for the recent and old fractures.
CONCLUSION: Several risk factors need to be addressed properly apart from medical managements to reduce the risk of occurrence of osteoporotic fractures.