Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

[Q]: Context: The aim of this article is to develop the Spanish adaptation of the internal functioning of Work Teams Scale (QFI-22).', 'The scale was adapted from the French version, and was applied to a sample of 1,055 employees working for firms operating in Spain. The article analyses the internal structure (exploratory and confirmatory factor analysis) and internal consistency, and provides convergent validity evidence of the scale.', 'The QFI-22 scale shows the same internal structure as the original. Factor analysis confirmed the existence of two factors: interpersonal support and team work management, with good internal consistency coefficients (1 = .93, 2 = .92). Regarding validity evidence, the QFI-22 scale has significant correlations with other correlates and alternative scales used for comparison purposes. The two factors correlated positively with team vision, participation safety, task orientation and support for innovation (Team Climate Inventory, TCI scale), with progressive culture (Organisational Culture, X-Y scale), and with creating change, customer focus and organisational learning (Denison Organizational Culture Survey, DOCS scale). In contrast, the two factors correlated negatively with traditional culture (X-Y scale).
Answer: The QFI-22 scale is a useful instrument for assessing the internal functioning of work teams.
[A]: Does spanish adaptation of the internal functioning of the Work team Scale ( QFI-22 )?

[Q]: Context: There are few studies of quality interventions to mitigate the risk of transfusion-associated circulatory overload (TACO). Our aim was to reduce TACO risk in patients admitted to internal medicine at our hospital, by addressing gaps in transfusion practice.', 'A 3-month baseline audit of red blood cell (RBC) transfusion orders was conducted. An intervention consisting of a transfusion order set and physician checklist was developed and implemented based on identified gaps, followed by a 3-month post-intervention audit. Compliance with appropriateness criteria for RBC transfusion was ascertained, along with documentation of transfusion rate, diuretic usage and consent.', 'A total of 97 transfusion orders from 68 inpatients and 95 orders from 62 inpatients were audited in the baseline and post-intervention groups, respectively. Compliance with appropriateness criteria was similar pre- and post-intervention (87 versus 85%, P = 081). Specification of transfusion rate improved (84 versus 98%, P < 001), and diuretics were appropriately ordered more frequently for patients with TACO risk factors (37 versus 64%, P < 001). Timing of diuretics shifted from between or post-transfusion to pre-transfusion (35 versus 86%, P < 001), without increases in hypokalemia or acute kidney injury. No case of TACO was observed during the study. Documentation of specific risks discussed during consent discussion improved (4 versus 23%, P < 001).
Answer: A checklist and order set are tools that can improve the quality of transfusion orders by increasing the judicious use of pre-transfusion diuretics and augmenting the specification of transfusion rate. These interventions could be adapted to electronic order formats to improve transfusion safety.
[A]: Do an order set and checklist improve physician transfusion ordering practices to mitigate the risk of transfusion-associated circulatory overload?

[Q]: Context: Gestational diabetes mellitus (GDM) may be an expression of early metabolic syndrome. It is unknown whether weight and/or glucose parameters assessed at GDM pregnancies predict the risk of metabolic syndrome at the early postpartum period.', 'A group of women with GDM (N=1512) was evaluated at 3-11 months postpartum. Incident cases of diabetes were excluded. Antenatal measurements of GDM severity, third-trimester average glycated hemoglobin levels, prepregnancy body mass index (BMI), and increased gestational weight gain were considered. The predictive capability of these factors for postpartum metabolic syndrome was estimated.', 'The prevalence of postpartum metabolic syndrome was 10.9%. The three most common features of metabolic syndrome were low levels of high-density lipoprotein cholesterol (31.2%), high fasting glucose values (23.5%), and a high waist circumference (22.8%). The main predictors of metabolic syndrome were overweight or obesity prepregnancy and high antenatal fasting glycemia. This analysis was adjusted for family history of diabetes, prior GDM, dyslipidemia before pregnancy, chronic arterial hypertension, age, and smoking. The model area 95% confidence interval under the receiver operating characteristic curve was 0.87 (0.84-0.90) for metabolic syndrome presence. The risk for metabolic syndrome was progressively increased as risk factors were added (P<0.001 for trend). When obesity and high fasting glycemia were combined, a multiplied effect ensued.
Answer: Women having GDM are at threat of early postpartum metabolic syndrome. This risk can be easily identified by assessing prepregnancy BMI and antenatal fasting glycemia in the first pregnancy visit.
[A]:
Are prepregnancy body mass index and prenatal fasting glucose effective predictors of early postpartum metabolic syndrome in Spanish mothers with gestational diabetes?