How to run successful e-internships: a case for organizational learning.

Purpose – The purpose of this paper is to outline unique learning experience that virtual/e-internships can offer small and medium-sized enterprises and start-up organizations. Design/methodology/approach – We interviewed 18 experts on e-internships (interns and managers of internships) across several countries to learn more about the learning experiences for both organizations and interns. The information from these interviews was also used to formulate a number of recommendations. Findings – The interviews provided insights into how e-internships can provide development opportunities for interns, managers and staff within these organizations. One important benefit pertains to the skill development of both interns and managers. The interns get unique working experiences that also benefit the organizations in terms of their creativity, input and feedback. In return, managers get a unique learning experience that helps them expand their project management skills, interpersonal skills and mentoring. Practical implications – We outline a number of recommendations that consider skill development, the benefit of diversity in numerous forms as well as mutual benefits for enterprises and start-ups. Originality/value – The discussion of the various benefits and conditions under which virtual internships will succeed in organizations provide practitioners an insight into the organizational opportunities available to them given the right investment into e-interns and internship schemes.

Do simple ventilation and gas exchange measurements predict early successful weaning from respiratory support in unselected general intensive care patients?

Background. The value of respiratory variables as weaning predictors in the intensive care unit (ICU) is controversial. We evaluated the ability of tidal volume (Vtexp), respiratory rate ( f ), minute volume (MVexp), rapid shallow breathing index ( f/Vt), inspired–expired oxygen concentration difference [(I–E)O2], and end-tidal carbon dioxide concentration (PE′CO2) at the end of a weaning trial to predict early weaning outcomes. Methods. Seventy-three patients who required .24 h of mechanical ventilation were studied. A controlled pressure support weaning trial was undertaken until 5 cm H2O continuous positive airway pressure or predefined criteria were reached. The ability of data from the last 5 min of the trial to predict whether a predefined endpoint indicating discontinuation of ventilator support within the next 24 h was evaluated. Results. Pre-test probability for achieving the outcome was 44% in the cohort (n¼32). Non-achievers were older, had higher APACHE II and organ failure scores before the trial, and higher baseline arterial H+ concentrations. The Vt, MV, f, and f/Vt had no predictive power using a range of cut-off values or from receiver operating characteristic (ROC) analysis. The [I–E]O2 and PE′CO2 had weak discriminatory power [areaunder the ROC curve: [I–E]O2 0.64 (P¼0.03); PE′CO2 0.63 (P¼0.05)]. Using best cut-off values for [I–E]O2 of 5.6% and PE′CO2 of 5.1 kPa, positive and negative likelihood ratios were 2 and 0.5, respectively, which only changed the pre- to post-test probability by about 20%. Conclusions. In unselected ICU patients, respiratory variables predict early weaning from mechanical ventilation poorly.