Disclaimer In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Purpose To describe the development, implementation, and evaluation of a pharmacy clinical decision support tool designed to increase naloxone coprescription among people at risk for opioid overdose in a large healthcare system. Summary The Military Health System Opioid Registry and underlying presentation layer were used to develop a clinical decision support capability to improve naloxone coprescription at the pharmacy point of care. Pharmacy personnel use a patient identification card barcode scanner or manually enter a patient’s identification number to quickly visualize information on a patient’s risk for opioid overdose and medical history related to pain and, when appropriate, receive a recommendation to coprescribe naloxone. The tool was made available to military treatment facility pharmacy locations. An interactive dashboard was developed to support monitoring, utilization, and impact on naloxone coprescription to patients at risk for opioid overdose. Conclusion Initial implementation of the naloxone tool was slow from a lack of end-user awareness. Efforts to increase utilization were, in part, successful owing to a number of enterprise-wide educational initiatives. In early 2020, the naloxone tool was used in 15% of all opioid prescriptions dispensed at a military pharmacy. Data indicate that the frequency of naloxone coprescription to patients at risk for opioid overdose was significantly higher when the naloxone tool was used than when the tool was not used.
Abstract:In this study we deal with the estimation of the population ratio, when a Randomized Response (RR) procedure is used for collecting responses and Ranked Set Sampling (RSS) is the selection method. The variances of the suggested estimators are calculated. Comparisons between different estimators are presented.
ResumenSe realiza un estudio de cómo los turistas que acuden a Acapulco valoran las categorías autorrealización y autoconcepto. Estas juegan un papel importante en la valoración del uso del tiempo libre y la satisfacción. Este estudio fija la importancia de indicadores y su interrelación a partir de estudiar los datos suministrados por una muestra de 399 turistas. Los resultados obtenidos permiten identificar en que aspectos se debe trabajar para mejorar la satisfacción de los turistas para tener un mejor desempeño de este destino en el mercado turístico. Palabras Clave:Mercado turístico, categorías de satisfacción, análisis de datos. Abstract ACAPULCO'S TOURISTIC MARKET: STUDY ABOUT THE SELF REALIZATION AND SELF CONCEPT OF TOURISTSThe evaluation of the categories self-realization and self-concept among the tourists visiting Acapulco are studied. They play an important role in the evaluation of the free time and the satisfaction. This study fixes the importance of indicators and their interrelation using the data obtained in a sample of 399 tourists. The results obtained allow t identify the aspects to be improved for satisfying the tourists for obtaining a better behavior of the tourist market. 87 establecen algunos enfoques psicológicos que ayudarán a comprender el diseño de la investigación y la importancia de la autorrealización y el autoconcepto para comprender el turismo desde el punto de vista de la psicología del turista como individuo. En la sección 4 se categoriza el tiempo libre para poder diseñar su estudio psico-social. Posteriormente se pasa a caracterizar el mercado turístico de Acapulco de acuerdo a las ofertas que brinda al turismo. La sección 6 presenta los principios utiizados para el diseño de la encuesta: cuestionario y modelo de muestreo. El análisis de la s configuraciones es llevada acabo en la sección 7 donde se establecen las regularidades observadas en los indicadores y se cuantifica su fuerza en la valoración de la autorrealización y en la formación de autoconceptos. Estos resultados dan pie a identificar los indicadores más importantes al discriminar la formación de criterios que deben crear una fidelidad a al polo turístico de Acapulco. Técnicas de Análisis Multivariado fueron utilizadas con este fin. El mercado turístico de AcapulcoLa afluencia turística en Acapulco presenta una tendencia irregular con algunos repuntes. Así, durante el período 2000 al 2004, el número de visitantes fue de: 4'775,544; 4'596,239; 4'086,114; 3'905,749 y 5'334,110, respectivamente. Ahora, analizando al turismo internacional en general, Teresa de J. Rivas P. (1997:6-84) ofrece datos que nos llevan a observar una tendencia hacia la baja. Por ejemplo, del año 1975 al 1981 la afluencia de este tipo de turismo se mantuvo arriba de los 600 mil, pero en el año 1995 esa cifra había disminuido al 50%. Más recientemente, la Dirección General de Turismo Municipal de Acapulco, reportó que durante el período 2001-2004, el turismo internacional mantuvo esa misma tendencia: 149,035; 106,555; 91,375 y 106114, respect...
This paper presents a brief demonstration of Scholz's third conjecture [1] for n numbers such that their minimum chain addition is star type [2]. The demonstration is based on the proposal of an algorithm that takes as input the star-adding chain of a number n, and returns a string in addition to 2 1 n x of length equal to 1 l n n . As for any type addition chain star of a number n, this chain is minimal demonstrating the Scholz's third Conjecture for such numbers.
The problem of the estimation of a population proportion using auxiliary information has been recently studied by Rueda et al. (Estimators and confidence intervals for the proportion using binary auxiliary information with applications to pharmaceutical studies, J. Biopharmaceut. Statist. 21 (2011), pp. 526-554), which proposed several ratio estimators of the population proportion and studied some theoretical properties. In this paper, we define a new ratio estimator based on a linear combination of two ratio estimators defined by Rueda et al. (2011). The variance of the new estimator is calculated and it is used to obtain the optimum value into the linear combination in the sense of minimal variance. Theoretical and empirical studies show that the suggested ratio estimator performs better than alternative estimators.
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