20 research outputs found

    Patient satisfaction of outpatient department at ESIS hospital, Nagpur, India

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    Background: Employee state insurance scheme (ESIS) is a multidimensional social security system providing medical facilities to the insured persons and their family through large network of hospitals and dispensaries all over India. The present study was done to measure the satisfaction of OPD (Outpatient Department) patients.Methods: A descriptive cross-sectional study was conducted in ESI Hospital, Nagpur, Maharashtra, India on 500 patients attending OPD. Patients were approached at the end of their OPD visits to know their perceptions towards the public health facilities, during the months of September and October 2017. Data collected was analyzed.Results: In present study, out of 500 patients, 210 (42%) said that crowd was average, 270 (54%) were satisfied with queue system, 390 (78%) were satisfied with the availability of drugs, 380 (76%) were satisfied with the behaviour of pharmacist.205 (41%) patients said it was not overcrowded, 310 (62%) patients were happy with the behaviour of registration clerk, 330 (66%) were satisfied with the seating arrangements for the patients and attendants, 265 (53%) were satisfied with the cleanliness, 205 (41%) were satisfied with the condition of toilets.390 (78%) patients said that doctor was available, 270 (54%) said that waiting time was less, 325 (65%) said that doctor listened to the problem attentively, 435 (87%) said that the doctor explained nicely about the disease while 425 (85%) were satisfied with the time given by the doctor.Conclusions: Almost half of the patients were satisfied with the registration facilities, basic amenities, service by doctor and pharmacy services. Mostly, patients chose this hospital as it was free for them due to their insurance and as it was near their house. Still, there is scope for improvement

    Pattern of prescription and drug use in psychiatry out patient department of private practitioners of Central India

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    Background: Psychotropic drugs have had a remarkable impact in psychiatric practice. The continuous monitoring of prescription and drug utilization studies may help to identify the problem involved in therapeutic decision and promote rational prescribing. Very few studies from India have evaluated the prescription pattern of Psychiatrists. Present study was undertaken to analyze the prescription pattern and drug used in psychiatric Out Patients of private practitioners of Central India.Methods: One thousand prescriptions were collected by undergraduate students from chemist and analysed. Study parameter like demographic profile of patients viz. age, sex, diagnosis were recorded. Basic drug indicators, the prescribing pattern of antipsychotics and other categories of drugs were also recorded. The most common and, top brands of anti psychotics were analyzed .Inappropriate prescription if any were recorded and analyzed further.Result: The most common psychotropic drugs were anti-anxiety in 361(36.1%) and antidepressants 130 (13%) prescribed for various psychiatric disorder. Usage of Sedative Hypnotics 104(10.4%), anti-psychotics 90(9%) and anticonvulsants 80 (8%) drugs in prescriptions. The incidence of polypharmacy (22%) was common occurrence in prescriptions. The commonest combination prescribed was of tricyclic antidepressant with benzodiazepines. Central anti-cholinergic was commonly prescribed with anti psychotics.Conclusions: Anti-anxiety drug (benzodiazepines) was the most frequently prescribed class of psychotropic drugs in various psychiatry disorders. The prescribing prevalence of Alprazolam with different brand names was more than that of other benzodiazepines. The combination of different psychotropic drugs were also prescribed

    New genetic loci link adipose and insulin biology to body fat distribution.

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    Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms

    Genomic Approaches to Abiotic Stresses in Mungbean

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    Mungbean (Vigna radiata (L.) R. Wilczek var. radiata) is an important legume crop widely produced and consumed throughout Southeast Asia, cultivated on more than 6 million hectares worldwide. Minimizing the impact climate variability has on production is vital to smallholder farmers rely on mungbeans as a source of income and nutrition Abiotic stress factors such as drought, water availability, heat and salinity pose a major risk to global food security. Variability in the climate and the increasing demand for food crops means innovative approaches must be implemented now to secure the food of tomorrow. Conventional breeding programs lead by the World Vegetable Centre and the Australian National Mungbean Improvement Program have dramatically increased the yields, reliability and sustainability of mungbean crops worldwide. Breeders and researchers are building on that foundational work through the implementation of genomic technologies. Sequencing the genomes of large diverse sets of mungbean germplasm aims to quantify how the genetic diversity present among the world’s mungbean collections and to identify genes associated with agronomically important traits. By combining sequence and phenotyping data regions of the genome associated with important traits link to, the maintenance of photosynthetic pathways and water-use efficiency can be targeted. Once identified, those pathways can be directly manipulated using genome-editing tools reduce current breeding times by more than half. Although abiotic stressors pose an immediate and extensive risk, fortunately the technologies and researchers needed to address the issues exist today