Predictors of female business conduct

La capacidad empresarial no se relaciona exclusivamente a la creación de nuevas empresas, sino que se refiere, también, al reconocimiento de oportunidades de realizar algo nuevo (productos, servicios, procesos de producción, utilización de tecnologías existentes) de parte de quien, trabajando en una organización, individua y organiza los recursos humanos y económicos con la finalidad de alcanzar los objetivos de la organización misma. Nuestra investigación intenta analizar la opinión que la población básica tiene en relación a algunos constructos referidos a la capacidad empresarial. El locus de control interno, la autoeficacia, la proactividad, el employability y el engagement, son características de predicción de la conducta empresarial. El instrumento de investigación es un cuestionario de auto-evaluación (COEM J. C. Sánchez, 2006) con 14 secciones, que investigan sectores específicos. La poblaciónón básica está formada por 100 trabajadoras en varias empresas de sexo femenino (Roma- Italia) entre 29 y 62 años. Los resultados de la investigación muestran sujetos dotados de importantes constructos de predicción de conductas empresariales. Última fase de la investigación ha sido la construcción de una población básica de control. Sintéticamente podemos afirmar que a partir de los resultados no emergen diferencias significativas entre los dos grupos.The entrepreneurial capability is not only related to the creation of new companies but to the acknowledgement/recognition of the opportunities to do something new (products, services, production processes, utilization of existing technologies) from someone who, while working in an organization, individuates and organizes the economic and human resources in order to reach the goals of the organization itself. Our research intends to analyze the opinion that the basic population has regarding/on some constructs referred to the entrepreneurial capability. The internal control locus, the auto efficiency, the proactivity, the employability and the engagement are characteristics of the entrepreneurial conduct. The investigation instrument is a questionnaire of self-evaluation (COEM J. C. Sanchez, 2006) with 14 sections that investigate on specific sectors. The basic population is formed by/consists of 100 female workers on diverse feminine companies (Rome-Italy) between 29 and 62 years old. The results of the research show subjects who are gifted with important entrepreneurial conduct prediction constructs. The last stage of the research has consisted in the construction of a basic control population. Synthetically we can say that, based on the results, there are no significant differences between both groups.peerReviewe

Predictors of female business conduct

La capacidad empresarial no se relaciona exclusivamente a la creación de nuevas empresas, sino que se refiere, también, al reconocimiento de oportunidades de realizar algo nuevo (productos, servicios, procesos de producción, utilización de tecnologías existentes) de parte de quien, trabajando en una organización, individua y organiza los recursos humanos y económicos con la finalidad de alcanzar los objetivos de la organización misma. Nuestra investigación intenta analizar la opinión que la población básica tiene en relación a algunos constructos referidos a la capacidad empresarial. El locus de control interno, la autoeficacia, la proactividad, el employability y el engagement, son características de predicción de la conducta empresarial. El instrumento de investigación es un cuestionario de auto-evaluación (COEM J. C. Sánchez, 2006) con 14 secciones, que investigan sectores específicos. La poblaciónón básica está formada por 100 trabajadoras en varias empresas de sexo femenino (Roma- Italia) entre 29 y 62 años. Los resultados de la investigación muestran sujetos dotados de importantes constructos de predicción de conductas empresariales. Última fase de la investigación ha sido la construcción de una población básica de control. Sintéticamente podemos afirmar que a partir de los resultados no emergen diferencias significativas entre los dos grupos.The entrepreneurial capability is not only related to the creation of new companies but to the acknowledgement/recognition of the opportunities to do something new (products, services, production processes, utilization of existing technologies) from someone who, while working in an organization, individuates and organizes the economic and human resources in order to reach the goals of the organization itself. Our research intends to analyze the opinion that the basic population has regarding/on some constructs referred to the entrepreneurial capability. The internal control locus, the auto efficiency, the proactivity, the employability and the engagement are characteristics of the entrepreneurial conduct. The investigation instrument is a questionnaire of self-evaluation (COEM J. C. Sanchez, 2006) with 14 sections that investigate on specific sectors. The basic population is formed by/consists of 100 female workers on diverse feminine companies (Rome-Italy) between 29 and 62 years old. The results of the research show subjects who are gifted with important entrepreneurial conduct prediction constructs. The last stage of the research has consisted in the construction of a basic control population. Synthetically we can say that, based on the results, there are no significant differences between both groups.peerReviewe

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

© 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

© 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