No abstract

No abstract

Background. Early diagnosis and treatment of a patient displaying symptoms of myocardial ischemia is paramount in preventing detrimental tissue damage, arrhythmias, and death. Patient-related hospital delay is the greatest considerable cause of total delay in treatment for acute myocardial infarction. Objective. To identify patient characteristics contributing to prehospital delay and ultimately developing health interventions to prevent future delay and improve health outcomes. Methods. A retrospective chart review of 287 patients diagnosed with ST-elevation myocardial infarction (STEMI) was evaluated to examine correlates of patient-related delays to care. Results. Stepwise logistic regression modeling with forward selection (likelihood ratio) was performed to identify predictors of first medical contact (FMC) within 120 minutes of symptom onset and door-to-balloon (DTB) time within 90 minutes. Distance from the hospital, being unmarried, self-medicating, disability, and hemodynamic stability emerged as variables that were found to be predictive of FMC within the first 120 minutes after symptom onset. Similarly, patient characteristics of gender and disability and having an initial nondiagnostic electrocardiogram emerged as significant predictors of DTB within 90 minutes. Conclusions. Individual attention to high-risk patients and public education campaigns using printed materials, public lectures, and entertainment mediums are likely needed to disseminate information to improve prevention strategies. Future research should focus on identifying the strengths of prehospital predictors and finding other variables that can be established as forecasters of delay. Interventions to enhance survival in acute STEMI should continue as to provide substantial advances in overall health outcomes.

Research suggests variants of uncertain significance (VUSs) present a variety of challenges for genetic counselors (GCs), nongenetics clinicians, and patients. Multigene cancer panels reveal more VUSs than single gene testing as a result of the increase in the number of genes being tested. This study surveyed 87 clinical cancer GCs involved with direct patient care and 19 laboratory GCs who provide guidance to clinicians regarding genetic test results about their attitudes on various options for the reporting of VUSs by laboratories for broad multigene cancer panels. Independent samples t‐tests were utilized to compare the two groups. Based on a six‐point Likert‐type scale (1 = Strongly Disagree to 6 = Strongly Agree), clinical cancer GCs (M = 5.4; SD = 0.8) and laboratory GCs (M = 5.2; SD = 0.9) agreed overall that VUSs should be reported (p = 0.44; Cohen's d = 0.21). When asked about specific reporting options, both clinical cancer GCs (M = 1.9; SD = 1.1) and laboratory GCs (M = 2.1; SD = 1.4) disagreed that VUSs should be reported only for genes related to the indication for testing (p = 0.50; Cohen's d = 0.17). Overall, most GCs felt clinicians should not choose whether VUSs should be reported on genetic test results, with clinical cancer GCs (M = 1.9; SD = 1.3) feeling more strongly against it than laboratory GCs (M = 3.1; SD = 1.4; p = 0.002; Cohen's d = 0.88). Generally, GCs were more in favor of VUSs not being reported for population‐based screening, with laboratory GCs (M = 4.7; SD = 0.8) agreeing more with that practice than clinical cancer GCs (M = 3.7; SD = 1.4; p = 0.001; Cohen's d = 0.80). Both clinical cancer GCs (M = 4.1; SD = 1.2) and laboratory GCs (M = 3.9; SD = 1.2) agreed additional guidelines on how to approach VUSs in clinical practice should be developed (p = 0.54; Cohen's d = 0.17). While most GCs supported the reporting of VUSs overall, our analyses suggest clinical cancer and laboratory GCs may have different attitudes toward specific VUS‐related reporting options. Further research is needed to elucidate GC preferences to help inform best practices for the reporting of VUSs. The development of additional standardized guidelines on how to approach VUSs would further support clinical practice.

department and hospitalization utilization was tracked. Results. The median age was 63 years; more than half had cardiac diagnoses. Majority of members were Hawaiian and other Pacific Islander. Median length of stay in supportive care was 90 days. Five (23%) members enrolled in hospice following supportive care. Symptom improvement occurred in pain (p < 0. 0001), anxiety (p¼0. 0052) and shortness of breath (p¼0. 0447). Discussions and documentation of endof-life wishes increased from 23% to 85%. When all costs were deducted from the savings realized by the reduction in emergency department visits and inpatient admissions, the net savings were 40% of the overall per member per month costs of these patients. Conclusion. Our experience demonstrates the effectiveness of supportive care approaches in this population to provide improved whole-person care and in lowering overall healthcare costs.