3 research outputs found

    Estudio de pre-factibilidad para la producción y comercialización de croquetas de sangrecita de pollo

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    El trabajo que se realizó es el resultado de los diferentes estudios necesarios para poder determinar la viabilidad de un proyecto, el cual, en este caso, fue sobre un negocio dedicado a la producción y comercialización de croquetas elaboradas principalmente con sangrecita de pollo y verduras. Este estudio de pre-factibilidad inicio con la elaboración del Análisis Estratégico, mediante el cual se establecieron estrategias centradas en el posicionamiento de la marca, en el apoyo mutuo y en el desarrollo continuo con el fin de alcanzar un mejor desempeño frente a los potenciadores e inhibidores presentes en el entorno. Seguido de ello, se elaboró el Estudio del Mercado, apartado en el cual, junto a las estrategias establecidas en el apartado anterior, se pudo analizar y establecer decisiones referentes a los clientes entre los cuales podemos destacar la demanda del proyecto y el precio de venta del producto, el cual es S/. 8.00; adicional a ello, se pudo determinar las estrategias de mercadotecnia entre las cuales podemos resaltar el comportamiento del precio a lo largo del proyecto, los canales por los cuales se llegará a los clientes y las decisiones que se tomaron con respecto a la promoción y publicidad del producto. Lo siguiente fue el Estudio Técnico, mediante la cual se logró determinar cómo ubicación para la planta la Urb. Vulcano, también se pudo establecer el tamaño de planta y los requerimientos d e maquinaria, materia prima y personal para el proceso productivo, como también los requerimientos y distribución de espacio para el local de 16 x 32 m. Luego se procedió con el Estudio Legal y el Estudio Organizacional, con el cual se pudo identificar las normas y leyes que regulan al negocio, tanto para su constitución como para su funcionamiento, con lo cual se pudo establecer los cargos y requisitos necesarios para el correcto funcionamiento de la empresa. También se determinó la composición del personal de la empresa, como también sus características, responsabilidades y beneficios, con el fin de cumplir con los requerimientos y decisiones tomadas en los apartados anteriores. Como todos los apartados anteriores completos, se elaboró el Estudio Económico y Financiero, en el cual, tomando en cuenta requisitos y decisiones establecidas anteriormente, se identificó la inversión necesaria para el negocio, como también las fuentes de financiamiento para esta. Con ello se pudo establecer presupuestos, con los cuales, se realizó proyecciones económicas y financieras para poder analizar la rentabilidad que se podrá alcanzar a lo largo de 5 años, obteniendo como indicadores un VANE de S/. 1,171,558, un TIRE de 79.84%, un VANF de S/. 1,247,801 y un TIRF de 106.35%; los cuales tiene mayor sensibilidad en variables como el precio y el volumen de ventas. Finalmente se elaboró el apartado de las Conclusiones y Recomendaciones, en el cual se determinando que el proyecto es viable, además se realizó recomendaciones con el fin de generar un mayor valor por parte del proyecto, como también opciones para este si es que se decide continuar con el luego de los 5 años de producción planificados

    Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries

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    © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 licenseBackground: 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. Methods: This was a multicentre, international prospective cohort study of consecutive adult patients undergoing surgery for primary breast, colorectal, or gastric cancer requiring a skin incision done under general or neuraxial anaesthesia. The primary outcome was death or major complication within 30 days of surgery. Multilevel logistic regression determined relationships within three-level nested models of patients within hospitals and countries. Hospital-level infrastructure effects were explored with three-way mediation analyses. This study was registered with ClinicalTrials.gov, NCT03471494. Findings: Between April 1, 2018, and Jan 31, 2019, we enrolled 15 958 patients from 428 hospitals in 82 countries (high income 9106 patients, 31 countries; upper-middle income 2721 patients, 23 countries; or lower-middle income 4131 patients, 28 countries). Patients in LMICs presented with more advanced disease compared with patients in high-income countries. 30-day mortality was higher for gastric cancer in low-income or lower-middle-income countries (adjusted odds ratio 3·72, 95% CI 1·70–8·16) and for colorectal cancer in low-income or lower-middle-income countries (4·59, 2·39–8·80) and upper-middle-income countries (2·06, 1·11–3·83). No difference in 30-day mortality was seen in breast cancer. The proportion of patients who died after a major complication was greatest in low-income or lower-middle-income countries (6·15, 3·26–11·59) and upper-middle-income countries (3·89, 2·08–7·29). Postoperative death after complications was partly explained by patient factors (60%) and partly by hospital or country (40%). The absence of consistently available postoperative care facilities was associated with seven to 10 more deaths per 100 major complications in LMICs. Cancer stage alone explained little of the early variation in mortality or postoperative complications. Interpretation: Higher levels of mortality after cancer surgery in LMICs was not fully explained by later presentation of disease. The capacity to rescue patients from surgical complications is a tangible opportunity for meaningful intervention. Early death after cancer surgery might be reduced by policies focusing on strengthening perioperative care systems to detect and intervene in common complications. Funding: National Institute for Health Research Global Health Research Unit

    Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

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    © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide. Methods: A multimethods analysis was performed as part of the GlobalSurg 3 study—a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital. Findings: Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3·85 [95% CI 2·58–5·75]; p<0·0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63·0% vs 82·7%; OR 0·35 [0·23–0·53]; p<0·0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer. Interpretation: Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised. Funding: National Institute for Health and Care Research
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