DEMONSTRATING HOW A HIGH-GROWTH FRAMEWORK COULD BE USED TO ASSIST A SOCIAL ENTERPRISE TO IDENTIFY GROWTH FACTORS AND IMPROVE SUSTAINABILITY

Maatskaplike ondernemings is kritieke rolspelers in ekonomiese groei en dienslewering. Hierdie artikel stel 'n instrument voor wat help om die aspekte te identifiseer wat die volhoubaarheid van maatskaplike ondernemings bei'nvloed. Die instrument is gebaseer op 'n raamwerk wat hoě groei-faktore identifiseer en gebruik die "CRISP-DM" (Kruis-industrie standaard proses vir data ontginning) metodologie en wedersydse inligtingsanalise om 'n praktiese hulpmiddel te ontwikkel wat maatskaplike ondernemings se lewensvatbaarheid en volhoubaarheid ondersteun. Die instrument is toegepas op 'n gevallestudie om te toon hoe praktisyns en sake-eienaars dit kan benut. Boonop wys hierdie artikel ook hoe vakkundiges bykomende insigte kan verkry uit data wat voorheen deur 'n ander metodologie ontleed is.Alternate :Social enterprises are critical players in economic growth and service delivery. This article presents a tool that helps to identify the aspects that affect the sustainability of social enterprises. The tool is based on a framework that identifies high-growth factors and that uses the CRISPDM (Cross-industry standard process for data mining) methodology and mutual information analysis to develop a practical tool to support social enterprises' viability and sustainability. The tool was applied to a case study to exemplify how practitioners and business owners could use it. In addition, this article shows how scholars could gain additional insights from data that had been previously analysed using a different methodology.

IMPACT of COVID OUTBREAK on PREVENTION and CARE for HIV and STIs at A LARGE HOSPITAL

Background: Routine medical care was drastically affected by the overwhelming irruption of COVID-19 pandemic. We comprehensively assessed the impact of the COVID-19 pandemic on the prevention and care for HIV and other sexually transmitted infections at a large reference hospital providing preventive and clinical services for HIV infection and other sexually transmitted infections. Methods: We retrospectively compared clinical and laboratory data from March to December 2020 (first ten months of the SARS-CoV-2 epidemics in Spain) vs. the same period 2019 in the setting of Hospital Clínic of Barcelona which provides preventive and clinical services for HIV infection and other sexually transmitted infections for the region of Catalonia and is the largest of its kind in Spain. Monthly clinical data on HIV pre-exposure and post-exposure prophylaxis users and on adults with HIV infection were retrieved from the administrative hospital database. Monthly tests for HIV, hepatitis B and C, Treponema pallidum, Neisseria gonorrhoeae, and Chlamydia trachomatis, and plasma lipids and glucose were recovered from the laboratory database. De novo HIV, hepatitis B, or hepatitis C diagnosis were considered whenever a person had a first known positive laboratory test. Results: There were less (28% reduction) but more advanced (mean [SD] CD4 cell counts per mm3 at HIV diagnosis 305 [167] vs. 370 [170], P<0.001;26 (18%) persons had AIDS-defining conditions at HIV diagnosis vs. 20 (10%), P=0.03) HIV cases and more gonorrhea (39% increase, P<0.001) and chlamydia (37% increase, P<0.001) infections in 2020 vs. 2019. In people with HIV, rates of viral load above the level of detection remained stable (11% vs 11%, P=0.147) despite less scheduled visits (25% reduction, P<0.001). However, they had less antiretroviral prescription changes (10% reduction, P=0.018), worse plasma lipids (mean total cholesterol 190 vs 185 mg/dL, P<0.001;mean LDL cholesterol 114 vs 110 mg/dL, P<0.001;mean triglycerides 136 vs 125 mg/dL, P<0.001;mean HDL cholesterol 47 vs 48 mg/dL, P=0.006), and an excess of mortality (29 deaths vs 11, 264% increase, P=0.006) due in great part to COVID-19 (n=11) but also to other non-COVID-19 causes. Conclusion: In the setting of a large Spanish reference hospital, SARS-CoV-2 epidemics was associated with an increase of some prevalent sexually transmitted infections, with less but more advanced de novo HIV infections, and with worse non-virologic healthcare outcomes and higher mortality in people living with HIV.

Results from HART-c: innovations in prehospital triage for acute cardiac symptoms, a multicentre prospective study

Introduction: Cardiac symptoms are one of the most prevalent reasons for emergency department (ED) visits [1], however most of these patients do not have acute cardiovascular disease. This leads to ED overcrowding which subsequently leads to worse patient outcomes and increased costs [2,3]. Attempts to reduce overcrowding have focused mostly on inhospital triage. The Hollands-midden Acute Regional Triage - cardiology (HART-c) study uses a newly developed triage platform which includes live monitoring, real-time admission capacity, in-hospital data and cardiologist consultation for improved prehospital triage. Purpose: The HART-c study aims to safely increase the percentage of patients with cardiac symptoms not referred to the hospital after emergency medical service (EMS) consultation. Methods: Patients aged 18 years or older visited by the EMS for cardiac symptoms were included in the region Hollands-Midden from September 2019 till March 2020 (non-COVID period) and compared with the year earlier. Patients were excluded when primary PCI was indicated. EMS consultation consisted of medical history, physical examination, vital parameters and ECG. All data were transferred to a newly developed platform combining pre-hospital data, shown in real-time, and hospital data, such as medical records and admission capacity. The paramedic contacted an on-call triage cardiologist and decided whether admission was necessary and, if so, which regional hospital was most appropriate (figure 1). The study objective was defined as the percentage of patients not referred to the hospital after EMS consultation. Safety of the triage method was defined in the non-referred patients in the intervention as the percentage of MACE (death and acute coronary syndrome) 30 days after non-referral. Results: In the intervention group 1755 patients (age 69±15 years, 53% men), and in the control group 1629 patients (age 68±15 years, 53% men) were consulted by the EMS during the HART-c study. In the intervention group 11.4% of patients consulted to the EMS were left at home, compared to 5.5% in the control group (figure 2). Logistic regression was performed to evaluate the effect of the triage intervention. The model was corrected for gender, age and seasonal changes. The chance of being left at home after EMS consultation was 2.29 (95% CI 1.73-3.02, p<0.001) times higher in the intervention group compared to the control. All patients left at home in the intervention group and their GP's were contacted for adverse events, after case-by-case review the MACE rate was <1%. Furthermore a decrease in interhospital transfers was seen, from 206 in the intervention to 173 in the control. Conclusion: Implementation of an innovative triage method successfully increased the percentage of patients with cardiac symptoms safely left at home.

Emergency medical services evaluations for chest pain during first COVID-19 lockdown in Hollands-Midden, the Netherlands.

OBJECTIVE: To assess whether the COVID-19 lockdown in 2020 had negative indirect health effects, as people seem to have been reluctant to seek medical care. METHODS: All emergency medical services (EMS) transports for chest pain or out-of-hospital cardiac arrest (OHCA) in the Dutch region Hollands-Midden (population served > 800,000) were evaluated during the initial 6 weeks of the COVID-19 lockdown and during the same time period in 2019. The primary endpoint was the number of evaluated chest pain patients in both cohorts. In addition, the number of EMS evaluations of ST-elevation myocardial infarction (STEMI) and OHCA were assessed. RESULTS: During the COVID-19 lockdown period, the EMS evaluated 927 chest pain patients (49% male, age 62 ± 17 years) compared with 1041 patients (51% male, 63 ± 17 years) in the same period in 2019, which corresponded with a significant relative risk (RR) reduction of 0.88 (95% confidence interval (CI) 0.81-0.96). Similarly, there was a significant reduction in the number of STEMI patients (RR 0.52, 95% CI 0.32-0.85), the incidence of OHCA remained unchanged (RR 1.23, 95% CI 0.83-1.83). CONCLUSION: During the first COVID-19 lockdown, there was a significant reduction in the number of patients with chest pain or STEMI evaluated by the EMS, while the incidence of OHCA remained similar. Although the reason for the decrease in chest pain and STEMI consultations is not entirely clear, more attention should be paid to the importance of contacting the EMS in case of suspected cardiac symptoms in possible future lockdowns.