CLINICAL ROUNDS

$3.95
Nursing2014
August 2012 
Volume 42  Number 8
Pages 19 - 21
 
  PDF Version Available!

ABSTRACT
Starting with the premise that satisfaction influences quality of care, researchers set out to identify patient and family factors associated with dissatisfaction with ICU care. They found four patient- and family-related factors that can be assessed at the time of ICU admission: living in the same city as the hospital, disagreement within the family regarding treatment, having a cardiac comorbidity but being hospitalized in a noncardiac unit, and living in a different household than the patient. When at least three of these factors were present, 63% of families were dissatisfied with care.In addition, they identified six factors occurring during an ICU stay that were independently associated with dissatisfaction: * perceived competence of nurses * concern and caring of ICU staff * completeness of information * dissatisfaction with the decision-making process * ICU atmosphere * waiting room atmosphere.The study authors say their findings can contribute to evidence-based strategies for improving satisfaction with ICU care in the future.Source: Hunziker S, McHugh W, Sarnoff-Lee B, et al. Predictors and correlates of dissatisfaction with intensive care. Crit Care Med. 2012;40(5):1554-1561.Among American adults with diabetes, mortality from cardiovascular disease dropped by 40% from 1997 to 2006, according to a CDC study. In addition, mortality from all causes among adults with diabetes declined by 23% during the years studied, "a period of continued advances in treatment approaches and risk factor control." No differences in mortality were found between men and women.Researchers evaluated data from the National Health Interview Survey of nearly 250,000 people and linked it to the National Death Index. The data showed that although adults with diabetes are still more likely to die younger than people without the disease, the gap is narrowing. But the researchers noted that their encouraging findings also "suggest that diabetes prevalence is likely to rise in the future

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