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1.
Indian J Crit Care Med ; 24(3): 172-178, 2020 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-32435095

RESUMEN

BACKGROUND: Emergency department (ED) being the most crucial part of hospital, where adverse drug reactions (ADRs) often go undetected. Trigger tools are proficient ADR detection methods, which have only been applied for retrospective surveillance. We did a prospective analysis to further refine the trigger tool application in healthcare settings. OBJECTIVE: To estimate the prevalence of ADRs and prospectively evaluate the importance of using trigger tools for their detection. MATERIALS AND METHODS: A prospective study was conducted in the ED for the presence of triggers in patient records to monitor and report ADRs by applying the Institute for Healthcare Improvement (IHI) trigger tool methodology. RESULTS: Four hundred sixty-three medical records were analyzed randomly using 51 trigger tools, where triggers were found in 181 (39.09%) and ADRs in 62 (13.39%) patients. The prevalence of ADR was 13.39%. According to the World Health Organization (WHO)-Uppsala Monitoring Centre (UMC) causality scale, 47 (75.8%) were classified as probable and 15 (24.2%) as possible, wherein 39 (62.9%) were predictable and 8 (12.9%) were definitely preventable. Most common triggers were abrupt medication stoppage (34.98%), antiemetic use (25.91%), and time in ED >6 hours (17.49%). The positive predictive values (PPVs) of triggers such as international normalized ratio (INR) > 4 (p = 0.0384), vitamin K administration (p = 0.002), steroid use (p = 0.0001), abrupt medication stoppage (p = 0.0077), transfusion of blood or blood products (p = 0.004), and rash (p = 0.0042) showed statistically significant results, which make the event detection process more structured when these triggers are positive. Presence of five or more triggers has statistically significant chances of developing an ADR (p < 0.05). CONCLUSION: Trigger tool could be a viable method to identify ADRs when compared to the traditional ADR identification methods, but there is insufficient data on IHI tool and its use to identify ADRs in the general outpatient setting. Healthcare providers may benefit from better trigger tools to help them detect ADRs. HOW TO CITE THIS ARTICLE: Pandya AD, Patel K, Rana D, Gupta SD, Malhotra SD, Patel P. Global Trigger Tool: Proficient Adverse Drug Reaction Autodetection Method in Critical Care Patient Units. Indian J Crit Care Med 2020;24(3):172-178.

2.
Indian J Sex Transm Dis AIDS ; 42(1): 62-68, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34765940

RESUMEN

INTRODUCTION: Treatment adherence to antiretroviral treatment (ART) is critical in reducing morbidity, mortality, and improving the survival in HIV patients. ART is a life-long commitment, and the variety of factors can influence treatment adherence. We studied the factors affecting treatment adherence in the private sector and public sector outdoor clinic in Ahmedabad, India. The primary objective of this study is to compare the level of adherence and factors that influence adherence to ART in patients attending government run free ART program and private setup. METHODS: We conducted a cross-sectional study of 8 weeks among HIV-infected patients who were receiving ART from private clinic and free ART center from July 2019 to September 2019. We enrolled all consecutive patients >18 years of age attending both clinics. Statistical analysis was carried out using the SPSS software version 25.0. Multiple logistic regression was used to identify the factors that were independently associated with adherence to ART. RESULTS: The study enrolled 306 patients, 151 (49.34%) from the outpatient department of private hospital, and 155 (50.65%) from the free ART center. Patients attending private clinics were more likely to have been diagnosed with HIV since ≥10 years compared to free ART center. Higher opportunistic infection rates were found in free ART center (64.51%). Treatment adherence was significantly lower in the patients attending free ART center (P = 0.004). Patients taking concomitant medications for other comorbid conditions (≥4 pills/day) were more likely to exhibit inadequate adherence ([odds ratio] 1.216, 95% confidence interval 1.0171-1.454). Univariate analysis showed that age, education, habits of alcohol, tobacco, number of pills, and duration of disease played a significant role in predicting adherence to ART (P < 0.05). CONCLUSIONS: Patients attending private clinic are surviving longer with HIV diagnosis, have fewer opportunistic infections, and have better treatment adherence compared to free ART clinic.

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