Buur Bass (alibiturnip35)

Impacts of errors included emotional distress, adverse health outcomes, and impaired activities of daily living. CONCLUSIONS This study uses the recent IOM definition of diagnostic error to provide insights into diagnostic error from the patient perspective. We found that diagnostic errors were commonly reported by hospitalized adults and have a profound impact on patients' well-being. Patients' insights regarding potential causes and prevention strategies may help identify opportunities to reduce diagnostic errors.BACKGROUND Cancer care is complex, involving highly toxic drugs, critically ill patients, and various different care providers. Because it is important for clinicians to have the latest and complete information about the patient available, this study focused on patient safety issues in information management developing from health information technology (HIT) use in oncology ambulatory infusion centers. OBJECTIVE The aim was to exploratively and prospectively assess patient safety risks from an expert perspective instead of retrospectively analyzing safety events, we assessed the information management hazards inherent to the daily work processes; instead of asking healthcare workers at the front line, we used them as information sources to construct our patient safety expert view on the hazards. METHODS The work processes of clinicians in three ambulatory infusion centers were assessed and evaluated based on interviews and observations with a nurse and a physician of each unit. The 125 identified patient safety issues were described and sorted into thematic groups. RESULTS A broad range of patient safety issues was identified, such as data fragmentation, or information islands, meaning that patient data are stored across different cases or software and that different professional groups do not use the same set of information. CONCLUSIONS The current design and implementation of HIT systems do not support adequate information management clinicians needed to play very close attention and improvise to avoid errors in using HIT and treat cancer patients safely. It is important to take the clinical front-end practice into account when evaluating or planning further HIT improvements.OBJECTIVE In-hospital falls (IHFs) are a significant burden to the healthcare industry and patients seeking inpatient care. Many falls lead to injuries that could be considered a hospital-acquired condition (HAC). We demonstrated how administrative data can be used to quantify how many IHFs occur and identify what conditions increase the risk for these falls. METHODS Iowa State Inpatient Database records from 2008 to 2014 for adults older than 50 years were used to quantify IHFs, falls resulting in an HAC (HAC IHFs), and fractures during in-hospital treatment. The medical conditions used in the Elixhauser Comorbidity Index were evaluated for the risk of the separate fall-related outcomes using Poisson regression. RESULTS There were 1770 records that had an IHF for an IHF rate of 0.26 per 1000 patient days. Psychoses (rate ratio = 1.95, 95% confidence interval = 1.63-2.34) and alcohol abuse (rate ratio = 1.77, 95% confidence interval = 1.40-2.24) showed the greatest increase in IHF risk. These conditions also increased the risk of HAC IHFs and in-hospital fractures. Fluid and electrolyte disorders, deficiency anemias, and chronic pulmonary disease increased the risk for IHFs/HAC IHFs but did not increase the risk of in-hospital fractures. CONCLUSIONS Administrative data can be used to track various fall-related outcomes occurring during inpatient treatment. Several conditions of the Elixhauser Comorbidity Index were identified as increasing the risk of fall-related outcomes and should be considered when evaluating a patient's risk of falling.OBJECTIVES Despite widespread use of medical devices and their increasing complexity, their contribution to unintended injury caused by healthcare (adverse events, AEs) remains relatively understudied. T