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  • 1
    In: Journal of Surgical Orthopaedic Advances, Data Trace Publishing Company, Vol. 27, No. 04 ( 2018)
    Type of Medium: Online Resource
    ISSN: 1548-825X
    Language: English
    Publisher: Data Trace Publishing Company
    Publication Date: 2018
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  • 2
    In: HSS Journal®: The Musculoskeletal Journal of Hospital for Special Surgery, SAGE Publications, Vol. 15, No. 1 ( 2019-02), p. 51-56
    Abstract: Drug overdoses are the leading cause of death due to injury in the USA. Currently, 49 states have prescription drug-monitoring programs (PDMPs) available to prescribers. Questions/Purposes We aimed to assess knowledge and practice of two groups of acute-care prescribers regarding controlled substances. Methods A 16-question survey was distributed to a list of surgical and emergency medicine prescribers at our institution. The survey asked about prescriber demographics, previous experiences with a PDMP, and opinions about patient risk factors available within an electronic medical record (EMR). Results We received 60 responses (27.1% response rate). All prescribers recognized a growing problem with opioids, both in general and in their own practices, with an average rating of 8.3/10 and 7.9/10, respectively. Although 95% were aware a PDMP was available, only 60% were registered users. Emergency medicine prescribers were significantly more likely to have registered and used the database; 52% said the PDMP was too time-consuming and 23% said the information was not easy to use. All respondents who reported PDMP use indicated it carried some clinical utility, with 87% reporting it to be “somewhat” or “very” useful. Emergency medicine prescribers were more likely to use the PDMP regularly, with 73% selecting “somewhat frequently” or higher, while only 9% of surgery prescribers indicated the same. Of all respondents, 97% agreed that an integrated alert in the existing EMR would be helpful. Conclusion Acute-care prescribers at our institution are universally aware of the opioid epidemic, but efficient and useful tools for identifying at-risk patients are lacking. Our prescribers desired an alert system integrated into the EMR to highlight targeted risk factors.
    Type of Medium: Online Resource
    ISSN: 1556-3316 , 1556-3324
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2210985-7
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  • 3
    In: Journal of Addiction Medicine, Ovid Technologies (Wolters Kluwer Health), Vol. 13, No. 5 ( 2019-09), p. 396-402
    Abstract: Addiction and overdose related to prescription drugs continues to be a leading cause of morbidity and mortality in the United States. We aimed to characterize the prescribing of opioids and benzodiazepines to patients who had previously presented with an opioid or benzodiazepine overdose. Methods: This was a retrospective chart review of patients who were prescribed an opioid or benzodiazepine in a 1-month time-period in 2015 (May) and had a previous presentation for opioid or benzodiazepine overdose at a large healthcare system. Results: We identified 60,129 prescribing encounters for opioids and/or benzodiazepines, 543 of which involved a patient with a previous opioid or benzodiazepine overdose. There were 404 unique patients in this cohort, with 97 having more than 1 visit including a prescription opioid and/or benzodiazepine. A majority of prescriptions (54.1%) were to patients with an overdose within the 2 years of the documented prescribing encounter. Prescribing in the outpatient clinical setting represented half (49.9%) of encounters, whereas emergency department prescribing was responsible for nearly a third (31.5%). Conclusions: In conclusion, prescribing of opioids and benzodiazepines occurs across multiple locations in a large health care system to patients with a previous overdose. Risk factors, such as previous overdose should be highlighted through clinical decision support tools in the medical record to help prescribers identify patients at higher risk and to mobilize resources for this patient population. Prescribers need further education on factors that place their patients at risk for opioid use disorder and on alternative therapies to opioids and benzodiazepines.
    Type of Medium: Online Resource
    ISSN: 1932-0620 , 1935-3227
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2019
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  • 4
    In: Archives of Physical Medicine and Rehabilitation, Elsevier BV, Vol. 96, No. 10 ( 2015-10), p. e51-
    Type of Medium: Online Resource
    ISSN: 0003-9993
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2015
    detail.hit.zdb_id: 2040858-4
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  • 5
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2016
    In:  Cancer Epidemiology, Biomarkers & Prevention Vol. 25, No. 3_Supplement ( 2016-03-01), p. C09-C09
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 25, No. 3_Supplement ( 2016-03-01), p. C09-C09
    Abstract: Background: Emergency departments (EDs) evaluate and manage cancer patients with a variety of conditions (e.g., cancer-related symptoms, treatment complications). EDs provide appropriate care for acute management but utilization may reflect problems in cancer care and does not represent the optimal care setting for cancer patients. Insurance status has been shown to impact ED presentation. Yet, little is known about the impact of socioeconomic factors on hospital admission of cancer patients presenting to EDs. Identifying factors associated with admission of cancer patients from the ED may provide insight into methods to improve cancer care and reduce ED utilization. Methods: A retrospective study of cancer-related ED visits in the US in 2012 was conducted using the Nationwide Emergency Department Sample. Cancer-related ED visits among adults over age 18 were identified by cancer-specific Clinical Classification Software codes (11-45) in the first five diagnostic positions. Care acuity was defined by Current Procedural Terminology codes for physician level of service (low=99281-99282, moderate=99283-99284, high=99285, 99291). Patients who were transferred, died in the ED, or discharged to an unknown destination (total & lt;3%) were excluded. Weighted multivariate logistic regression was performed to analyze the association between insurance status, income quartile, location and hospital admission. Results: There were 3,019,119 cancer-related ED visits in the US in 2012 (3% of all adult ED visits). Patients with cancer-related ED visits were 69% publicly insured (57% Medicare [MC], 12% Medicaid [MA] ), 23% privately insured (PI), and 5% uninsured (UN). Breast (15%), lung (14%), prostate (10%), and colon (8%) cancers were most common. Reasons for ED visits included respiratory (36%), gastrointestinal (36%), genitourinary (28%), and fluid or electrolyte (20%) problems, pain (15%), and fatigue, fever, neutropenia, and sepsis (3-5% each). Fewer UN (15%), MA (17%), and PI (18%) patients were coded as high acuity, compared to MC (21%; p & lt;.001). 50% of cancer-related ED visits resulted in admission to the same hospital, compared to 17% of all adult ED visits (p & lt;.001). In multivariate analysis adjusted for age, gender, cancer type, presenting conditions, acuity, location of patient's residence, admission timing (weekday/weekend), hospital region, and teaching status, the odds of admission following ED presentation were lower for UN (odds ratio [OR]=0.67; 95% confidence interval [CI] =0.48-0.93) and MA (OR=0.87; 95%CI=0.77-0.98) and higher for PI (OR=1.16; 95%CI=1.06-1.26) patients, compared to MC patients. The odds of admission were also lower for residents of non-large metro areas (OR=0.31; 95%CI=0.21-0.44), compared to large metro, and in Midwest (OR=0.14; 95%CI=0.09-0.21) and West (OR=0.15; 95%CI=0.09-0.24) region hospitals, compared to South, and higher with older age (OR=1.22; 95%CI=1.16-1.27) and for patients with metastatic disease (OR=6.89; 95%CI=5.98-7.94), neutropenia (OR=7.93; 95%CI=6.22-10.12), or fluid or electrolyte problems (OR=5.97; 95%CI=5.46-6.53). There was no difference in admission odds by income quartile. Conclusion: Lower odds of admission following cancer-related ED visits were associated with non-clinical factors (UN/MA patients, non-large metro location, Midwest/West region). Clinical elements (older age, metastases, neutropenia, fluid or electrolyte problems) were important correlates of admission but only partly explained differences by insurance, location, and region. Additional research will seek to identify potential causes of decreased admission among UN and MA patients, including the roles of source of care, different acuity levels, and undesirable financial liability associated with inpatient management, to evaluate the rate of ED readmission after discharge, and to determine factors contributing to lower admission rates in the Midwest and West regions. Citation Format: Marc Kowalkowski, Derek Raghavan, Michael Runyon, Mellisa Wheeler, Michael Gibbs, Andrea Bouronich, Carol Farhangfar. Socioeconomic disparities in hospital admission patterns following cancer-related ED visits in the United States. [abstract]. In: Proceedings of the Eighth AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 13-16, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2016;25(3 Suppl):Abstract nr C09.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
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  • 6
    In: Critical Care Medicine, Ovid Technologies (Wolters Kluwer Health), Vol. 47, No. 8 ( 2019-08), p. 1081-1088
    Abstract: Evaluate the accuracy of the quick Sequential Organ Failure Assessment tool to predict mortality across increasing levels of comorbidity burden. Design: Retrospective observational cohort study. Setting: Twelve acute care hospitals in the Southeastern United States. Patients: A total of 52,187 patients with suspected infection presenting to the Emergency Department between January 2014 and September 2017. Interventions: None. Measurements and Main Results: The primary outcome was hospital mortality. We used electronic health record data to calculate quick Sequential Organ Failure Assessment risk scores from vital signs and laboratory values documented during the first 24 hours. We calculated Charlson Comorbidity Index scores to quantify comorbidity burden. We constructed logistic regression models to evaluate differences in the performance of quick Sequential Organ Failure Assessment greater than or equal to 2 to predict hospital mortality in patients with no documented (Charlson Comorbidity Index = 0), low (Charlson Comorbidity Index = 1–2), moderate (Charlson Comorbidity Index = 3–4), or high (Charlson Comorbidity Index ≥ 5) comorbidity burden. Among the cohort, 2,030 patients died in the hospital (4%). No comorbidities were documented for 5,038 patients (10%), 9,235 patients (18%) had low comorbidity burden, 12,649 patients (24%) had moderate comorbidity burden, and 25,265 patients (48%) had high comorbidity burden. Overall model discrimination for quick Sequential Organ Failure Assessment greater than or equal to 2 was the area under the receiver operating characteristic curve of 0.71 (95% CI, 0.69–0.72). A model including both quick Sequential Organ Failure Assessment and Charlson Comorbidity Index had improved discrimination compared with Charlson Comorbidity Index alone (area under the receiver operating characteristic curve, 0.77; 95% CI, 0.76–0.78 vs area under the curve, 0.61; 95% CI, 0.59–0.62). Discrimination was highest among patients with no documented comorbidities (quick Sequential Organ Failure Assessment area under the receiver operating characteristic curve, 0.84; 95% CI; 0.79–0.89) and lowest among high comorbidity patients (quick Sequential Organ Failure Assessment area under the receiver operating characteristic curve, 0.67; 95% CI, 0.65–0.68). The strength of association between quick Sequential Organ Failure Assessment and mortality ranged from 30.5-fold increased likelihood in patients with no comorbidities to 4.7-fold increased likelihood in patients with high comorbidity. Conclusions: The accuracy of quick Sequential Organ Failure Assessment to predict hospital mortality diminishes with increasing comorbidity burden. Patients with comorbidities may have baseline abnormalities in quick Sequential Organ Failure Assessment variables that reduce predictive accuracy. Additional research is needed to better understand quick Sequential Organ Failure Assessment performance across different comorbid conditions with modification that incorporates the context of changes to baseline variables.
    Type of Medium: Online Resource
    ISSN: 0090-3493
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2019
    detail.hit.zdb_id: 2034247-0
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