The positive predictive value of acute COPD discharge diagnoses in the Danish National Patient Registry is high. At the same time, there is a substantial underrecording of COPD during hospitalizations with other acute respiratory disorders like pneumonia and respiratory failure.

PurposeMeasuring and developing a safe culture in health care is a focus point in creating highly reliable organizations being successful in avoiding patient safety incidents where these could normally be expected. Questionnaires can be used to capture a snapshot of an employee’s perceptions of patient safety culture. A commonly used instrument to measure safety climate is the Safety Attitudes Questionnaire (SAQ). The purpose of this study was to adapt the SAQ for use in Danish hospitals, assess its construct validity and reliability, and present benchmark data.Materials and methodsThe SAQ was translated and adapted for the Danish setting (SAQ-DK). The SAQ-DK was distributed to 1,263 staff members from 31 in- and outpatient units (clinical areas) across five somatic and one psychiatric hospitals through meeting administration, hand delivery, and mailing. Construct validity and reliability were tested in a cross-sectional study. Goodness-of-fit indices from confirmatory factor analysis were reported along with inter-item correlations, Cronbach’s alpha (α), and item and subscale scores.ResultsParticipation was 73.2% (N=925) of invited health care workers. Goodness-of-fit indices from the confirmatory factor analysis showed: c2=1496.76, P<0.001, CFI 0.901, RMSEA (90% CI) 0.053 (0.050–0056), Probability RMSEA (p close)=0.057. Inter-scale correlations between the factors showed moderate-to-high correlations. The scale stress recognition had significant negative correlations with each of the other scales. Questionnaire reliability was high, (α=0.89), and scale reliability ranged from α=0.70 to α=0.86 for the six scales. Proportions of participants with a positive attitude to each of the six SAQ scales did not differ between the somatic and psychiatric health care staff. Substantial variability at the unit level in all six scale mean scores was found within the somatic and the psychiatric samples.ConclusionSAQ-DK showed good construct validity and internal consistency reliability. SAQ-DK is potentially a useful tool for evaluating perceptions of patient safety culture in Danish hospitals.

Background and Purpose-The association among socioeconomic status, quality of care, and clinical outcome after stroke remains poorly understood. In a Danish nationwide follow-up study, we examined whether socioeconomic-related differences in acute stroke care occur and, if so, whether they explain socioeconomic differences in case-fatality and readmission risk. Methods-Using population-based public registries, we identified and followed all patients aged Յ65 years admitted with stroke from 2003 to 2007 (nϭ14 545). We compared the proportion of patients receiving 7 specific processes of care according to income, educational attainment, and employment status. Furthermore, we computed 30-day and 1-year hazard ratios for death and readmission adjusted for patient characteristics and received processes of acute stroke care. Results-For low-income patients and disability pensioners, the relative risk of receiving all of the relevant processes of care was 0.82 (95% CI, 0.78 to 0.86) and 0.83 (95% CI, 0.79 to 0.87), respectively, compared with high-income patients and employed patients. Adjusted 30-day and 1-year hazard ratios for death for unemployed patients were 1.57 (95% CI, 1.25 to 1.97) and 1.58 (1.32 to 1.88), respectively, compared with employed patients. Unemployed patients also had a higher risk of readmission. The differences in mortality and readmission risk remained after controlling for received processes of acute stroke care. Conclusions-Low socioeconomic status was associated with a lower chance of receiving optimal acute stroke care.However, the differences in acute care did not appear to explain socioeconomic differences in mortality and readmission risk. (Stroke. 2011;42:2896-2902.)

Background and purpose age may predict level of care and subsequent outcome among patients with stroke. We examined fulfilment of quality-of-care criteria according to age and the possible impact of any age-related differences on short-term mortality in a population-based nationwide follow-up study in Denmark.