Effects of Wearable Devices on a Person’s Lifestyle

Lifestyle of the general population is a genuine concern currently due to processed foods and sedentary lifestyles. Also, technology has geared the new generation towards introversion but, not all technology is bad. If used in the correct way, technology can be helpful in transitioning from an unhealthy lifestyle to a healthy lifestyle. Through the Summer Medical Research Fellowship (SMRF) research program, it addressed whether or not wearable devices have an effect on lifestyle. During SMRF, everyone above the age of 18 was targeted. The hypothesis was to address if devices have an effect on lifestyle. During the first week of the study, a survey was developed to assess the lifestyle choices of patients in the Rowan Medicine Offices. The survey was administered to 225 people. The results of the study were not significant. The sample number of patients that actually utilized fitness devices was too small for any analysis. In the future, the goal would be to conduct this study with a greater sample. Ultimately, this study was good to lay foundations in regards to assessing lifestyle choices but it needs to be furthered

Monitoring And Evaluation Of Adverse Drug Reaction In Emergency Medicine Department

Background: Any deviation from the intended beneficial effect of a medication results in a drug related problem. Adverse drug reactions (ADRs) are negative consequences of drug therapy. It is the fourth to sixth leading cause of mortality in the United States of America. Aims: To find out the proportion of medical emergency admissions that are secondary to Adverse Drug Reactions(ADRs). Settings and Designs: An observational, prospective study conducted at the Emergency Medicine Department, at Tertiary Care Teaching Hospital for 12 months, daily from 9 am to 5pm. Materials and Methods:  Patients aged ≥ 18, who have given a written informed consent were included and patients not able to give willing consent and women presented with pregnancy were excluded in the study. The data was recorded in the case record form, The causality assessment was performed using  WHO causality assessment scale. To determine the ADR severity, Modified Hartwig and Siegel scale  was used. Statistical Analysis: The statistical evaluation was done with the help of Statistical Package for Social Science (SPSS) version 21.0 manufactured by IBM (demo version) and Microsoft Excel 2016. p< 0.05 was considered as statistically significant. Results: Elderly patients were having higher incidence of ADRs. Among all drug groups, the highest incidence were antimicrobials and drugs acting on blood. Majority patients either recovered or were in a recovering phase. Most of the ADRs were not preventable. Conclusions: Reporting of ADRs in a systematic way allows appropriate analysis and intervention which will improve the patient’s safety.  Many ADRs could be preventable by avoiding certain drug/drug combinations, hospitalization, dose dependent side effects, appropriate individual dosing and applying the Antimicrobial Stewardship Programme. Keywords: Adverse Drug Reactions(ADRs), Antimicrobials,  Emergency Medicine Departmen