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

Background 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

Finance information systems usage in universities in a developing country : Implementing factors and their influence on use

Finance information systems (FISs) store and provide timely, accurate and consistent financial data for management and decision-making. Many organizations especially in developing world however fail to attain desired success during implementation and usage of the FISs despite the fact that many success factors for implementation have been suggested. This study thus investigated the usage of FISs with the aim of finding out how factors presumed to influence implementation impact usage. The presumed factors included; top management support, effective communication, evaluation of staff performance, technical support, project management, change management program, effectiveness of IT unit and flexibility of consultants. The study focused on universities in Uganda which is a developing country. Of the nine factors that were investigated only top management support, technical training and flexibility of consultants exhibited a positive impact with only top management support being significant. The rest of the factors exhibited negative impact and only effective IT unit being significant

Assessment of cow and farm level risk factors associated with Ureaplasma diversum in pasture-based dairy systems - A field study

ABSTRACT Potential risk factors for Ureaplasma diversum in the vaginal mucus of 1,238 dairy cows were included in a multivariate logistic regression model, based on the cow level (i.e., granular vulvovaginitis [+GVV], yearly milk production [4500 kg or more], pregnancy, predominance of Bos taurus [+Bos Taurus], score of corporal condition [at least 2.5], concomitant positivity for Escherichia coli [+E.coli]), and farm level i.e., milking room hygiene (-Milking room), dunghill location, and replacement female). Ureaplasma diversum was present in 41.1% of the samples. Independent risk factors for U. diversum were +GVV (odds ratio [OR], 1.31); +Mycoplasma spp (OR, 5.67); yearly milk production (4500 kg or more) (OR, 1.99); +Bos taurus (OR, 1.68); +E. coli (OR, 4.96); -milking room (OR, 2.31); and replacement females (OR, 1.89). Ureaplasma diversum vaginal colonization was strongly associated with Mycoplasma spp., E. coli, and number of pregnant cows