BackgroundCommunity pharmacies in Nepal serve as the first point of contact for the public with the health care system and provide many services, including administering injections. However, there is a general lack of documented information on pharmacy practice and injection use in these pharmacies. This study aims to provide information about pharmacy practice in terms of service and drug information sources, and injection use, including the disposal of used injection equipment.MethodsA mixed method, cross-sectional study was conducted in 54 community pharmacies in Pokhara city. Data was collected using a pre-tested, semi-structured questionnaire, and also by the direct observation of pharmacy premises. Interviews with pharmacy supervisors (proprietors) were also conducted to obtain additional information about certain points.ResultsInterviews were carried out with 54 pharmacy supervisors/proprietors (47 males and 7 females) with a mean age and experience of 35.54 and 11.73 years, respectively. Approximately a half of the studied premises were operated by legally recognized pharmaceutical personnel, while the remainder was run by people who did not have the legal authority to operate pharmacies independently. About a quarter of pharmacies were providing services such as the administration of injections, wound dressing, and laboratory and consultation services in addition to medicine dispensing and counseling services. The ‘Current Index of Medical Specialties’ was the most commonly used source for drug information. Almost two-thirds of patients visiting the pharmacies were dispensed medicines without a prescription. Tetanus Toxoid, Depot-Medroxy Progesterone Acetate, and Diclofenac were the most commonly-used/administered injections. Most of the generated waste (including sharps) was disposed of in a municipal dump without adhering to the proper procedures for the disposal of hazardous waste.ConclusionsCommunity pharmacies in Pokhara offer a wide range of services including, but not limited to, drug dispensing, counseling, dressing of wounds, and administering injections. However, the lack of qualified staff and adequate infrastructure may be compromising the quality of the services offered. Therefore, the health authorities should take the necessary measures to upgrade the qualifications of the personnel and to improve the infrastructure for the sake of good pharmacy practice and the safer use of injections.
BackgroundPharmacovigilance activities are in a developing stage in Nepal. ADR reporting is mainly confined to healthcare professionals working in institutions recognized as regional pharmacovigilance centers. Community pharmacists could play an important role in pharmacovigilance. This study was conducted among community pharmacists in Lalitpur district to examine their knowledge and attitude about pharmacovigilance before and after an educational intervention.MethodsKnowledge and attitude was studied before, immediately after and 6 weeks following the intervention among 75 community pharmacists. Responses were analysed using descriptive and inferential statistics. A pretested questionnaire having twelve and nine statements for assessing knowledge and attitude were used. The overall scores were obtained by adding the ‘knowledge’ and ‘attitude’ scores and ‘overall’ scores were summarized using median and interquartile range. Wilcoxon signed-rank test for repeated samples was used to compare the differences between knowledge and attitude of the pharmacists before and after the educational program.ResultsKnowledge scores [median (interquartile range)] improved significantly between pre-test [39 (44–46)], post-test [44 (44–44)] and retention period of 6 weeks after the intervention [46 (43–46)]. Knowledge score improved immediately post-intervention among both males [44 (41–47)] and females [44 (43–45)] but the retention scores (after 6 weeks) were higher [46 (42–48)] among males. Attitude scores improved significantly among females [46 (44–48)]. The overall scores were higher among pharmacists from rural areas.ConclusionKnowledge and attitude scores improved after the educational intervention. Further studies in other regions of the country are required. The national pharmacovigilance center should promote awareness about ADR reporting among community pharmacists.Electronic supplementary materialThe online version of this article (doi:10.1186/s13104-016-2343-5) contains supplementary material, which is available to authorized users.
Soil moisture takes an important part involving climate, vegetation and drought. This paper explains how to calculate the soil moisture index and the role of soil moisture. The objective of this study is to assess the moisture content in soil and soil moisture mapping by using remote sensing data in the selected study area. We applied the remote sensing technique which relies on the use of the soil moisture index (SMI) which uses the data obtained from satellite sensors in its algorithm. The relationship between land surface temperature (LST) and the normalized difference vegetation index (NDVI) are based on experimental parameterization for the soil moisture index. Multispectral satellite data (visible, red and near-infrared (NIR) and thermal infrared sensor (TIRS) bands) were utilized for assessment of LST and to make vegetation indices map. Geographic Information System (GIS) and image processing software were utilized to determine the LST and NDVI. NDVI and LST are considered as essential data to obtain SMI calculation. The statistical regression analysis of NDVI and LST were shown in standardized regression coefficient. NDVI values are within range −1 to 1 where negative values present loss of vegetation or contaminated vegetation, whereas positive values explain healthy and dense vegetation. LST values are the surface temperature in °C. SMI is categorized into classes from no drought to extreme drought to quantitatively assess drought. The final result is obtainable with the values range from 0 to 1, where values near 1 are the regions with a low amount of vegetation and surface temperature and present a higher level of soil moisture. The values near 0 are the areas with a high amount of vegetation and surface temperature and present the low level of soil moisture. The results indicate that this method can be efficiently applied to estimate soil moisture from multi-temporal Landsat images, which is valuable for monitoring agricultural drought and flood disaster assessment.
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