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3095 Perceived Knowledge of Palliative Care among Immigrants: A Secondary Data Analysis from the Health Information National Trends Survey
- Amelia Barwise, Andrea Cheville, Mark Wieland, Ognjen Gajic, Alexandra Greenberg-Worisek
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- Journal:
- Journal of Clinical and Translational Science / Volume 3 / Issue s1 / March 2019
- Published online by Cambridge University Press:
- 26 March 2019, pp. 136-137
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OBJECTIVES/SPECIFIC AIMS: Immigrants to North America receive more interventions at end of life.The reasons for this are not entirely clear but may potentially be due to knowledge gaps. The primary objective of this study was to measure and describe levels of perceived knowledge about palliative care among immigrants to the US compared to those born in the US. Our secondary objective was to identify trusted sources for seeking information about palliative care among immigrants and compare these trusted sources with those born in the US. We hypothesized that immigrants would have less knowledge of palliative care than those born in US and would trust different sources for information about palliative care. METHODS/STUDY POPULATION: We analyzed data from the nationally representative 2018 Health Information National Trends Survey (HINTS 5, cycle 2). Questionnaires were administered via mail between January and May 2018 to a population-based sample of adults. The primary outcome of interest was assessed using the item “How would you describe your level of knowledge about palliative care?” The secondary outcome of interest was determined using the item “Imagine you had a strong need to get information about palliative care, which of the following would you most trust as a source of information about palliative care?” All analyses were complete case analyses and conducted with survey commands using SAS 9.3 (SAS Institute Inc, Cary, NC, USA). Descriptive statistics were calculated, and bivariate analyses run between the outcomes of interest and sociodemographic characteristics (age, sex, education, race/ethnicity, nativity, English language proficiency). Multivariable logistic regressions were conducted to assess the role of nativity, controlling for statistically significant and relevant sociodemographic variables. Jackknife weighting was used to generate population-level estimates. RESULTS/ANTICIPATED RESULTS: The response rate was 33% (n=3384) and included 2846 (85.3% weighted) born in the US and 492 (14.7% weighted) not born in the USA. About 70% of those born in the US and 77% of immigrants (weighted) responded that they had “never heard of palliative care.” Trusted sources of palliative care were very similar between the groups (all p > 0.05). Both groups’ preferred trusted source of palliative care knowledge was “health care provider,” with over 80% of respondents in each group selecting this option. Printed materials and social media were the least popular trusted sources among both groups. After adjusting for relevant sociodemographic characteristics, we found no association between poor knowledge of palliative care and nativity (p=0.22). Female respondents had 2.5-fold increased odds of reporting low levels of perceived knowledge of palliative care (OR = 2.58, 95% CI = 1.76-3.78; p<0.001). Education was an important predictor of perceived knowledge of palliative care; as education level increased, so did perceived knowledge of palliative care (p < 0.001). DISCUSSION/SIGNIFICANCE OF IMPACT: Perceived knowledge of palliative care is poor generally, regardless of birthplace. Trusted sources for palliative care are similar between immigrants and those born in the US. Education is important and is a strong predictor of perceived knowledge of palliative care. Women perceive they have lower levels of knowledge of PC than men. Differences in end of life care between immigrants and non-immigrants cannot be explained by knowledge differences. Further research is needed to examine the potential factors including suboptimal communication between providers and immigrant patients to understand why these differences are noted. Future strategies for improving knowledge of palliative care should target health care providers as the key trusted source of information to help address deficits noted in this study.
2378 Addressing challenges from missing data in a global quality improvement study
- Amelia Barwise, Lisha Yi, Jun Guo, Ognjen Gajic, Moldovan Sabov, Yue Dong, Rahul Kashyap
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- Journal:
- Journal of Clinical and Translational Science / Volume 2 / Issue S1 / June 2018
- Published online by Cambridge University Press:
- 21 November 2018, pp. 37-38
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OBJECTIVES/SPECIFIC AIMS: Missing data is a common problem in research studies that may lead to inconclusive or inaccurate results. It may even lead to harm secondary to wrong research conclusions. The purpose of this ancillary study is to measure the differences in missing data following implementation of a variety of mechanisms to improve data quality and documentation in a global quality improvement study. Many of the sites involved in the study were in low-income or middle-income countries with minimal research infrastructure. Missing data is defined as “values that are not available that would be meaningful for analysis if they were observed” (The prevention and treatment of missing data, New Engl J Med 367; 14, nejm.org, October 4, 2012). METHODS/STUDY POPULATION: All study sites used REDCap software to enter various data points including hospital and ICU admission and discharge dates as well as whether items on a Checklist relevant to processes of care in the ICU were reviewed. After initial general data collection phase, we categorized data as “must have” and “good to have.” “Must have” variables were defined as data variables that were essential for the study outcomes. “Good to have” variables would not affect the main outcomes of the study if missing. We measured completeness of data using the in-built REDCap data quality check feature. We used several strategies to encourage reduction of missing data. We initially did random data checks but noted that the amount of missing data was substantial and could not be adequately addressed this way. Second, we created excel sheets highlighting missing data for each site and notified sites. This proved onerous to create and made it burdensome for sites to identify easily where data was missing. Third, we built a custom report form in REDCap specifically able to identify which “must have” data points were missing. This could be easily accessed by the principal investigator at each site and made completing the data forms more straightforward. We encouraged all sites to complete their data collection by sending weekly data reports to each site highlighting the patients with missing data. An instructional YouTube tutorial was also created and the link was shared with all sites to demonstrate how to use the custom built report form in REDCap and how to appropriately fill in the missing data. Since this was a global study, we communicated with sites using a variety of locally favored mechanisms including Zoom, FaceTime, WeChat, WhatsApp as well as email. By harnessing the buy-in of local champions our approach was successful. RESULTS/ANTICIPATED RESULTS: The total number of patients recruited for the CERTAIN study is 4843. The rate of all missing variables improved with the efforts described above. Hospital admission dates were missing in 8.4% pre efforts and 4.2% post efforts (p<0.01). ICU admission dates were missing in 5.5% pre and 2.0% post (p<0.01). Documentation of completion of processes of care (including central line review, urinary catheter review, consideration for blood transfusion) improved significantly from pre to post (p<0.01). DISCUSSION/SIGNIFICANCE OF IMPACT: Missing data can be a problem in all types of research studies. This study provides some preliminary evidence for effective approaches that can reduce the problem of missing data when conducting a global study at sites with limited research infrastructure in place. By addressing the concern about missing data, we can be more confident that our results can be accurately analyzed and interpreted, improving the quality of the research.
Seeking out SARI: an automated search of electronic health records
- John C. O'Horo, Mikhail Dziadzko, Amra Sakusic, Rashid Ali, M. Rizwan Sohail, Daryl J. Kor, Ognjen Gajic
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- Journal:
- Epidemiology & Infection / Volume 146 / Issue 8 / June 2018
- Published online by Cambridge University Press:
- 18 April 2018, pp. 1065-1069
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The definition of severe acute respiratory infection (SARI) – a respiratory illness with fever and cough, occurring within the past 10 days and requiring hospital admission – has not been evaluated for critically ill patients. Using integrated electronic health records data, we developed an automated search algorithm to identify SARI cases in a large cohort of critical care patients and evaluate patient outcomes. We conducted a retrospective cohort study of all admissions to a medical intensive care unit from August 2009 through March 2016. Subsets were randomly selected for deriving and validating a search algorithm, which was compared with temporal trends in laboratory-confirmed influenza to ensure that SARI was correlated with influenza. The algorithm was applied to the cohort to identify clinical differences for patients with and without SARI. For identifying SARI, the algorithm (sensitivity, 86.9%; specificity, 95.6%) outperformed billing-based searching (sensitivity, 73.8%; specificity, 78.8%). Automated searching correlated with peaks in laboratory-confirmed influenza. Adjusted for severity of illness, SARI was associated with more hospital, intensive care unit and ventilator days but not with death or dismissal to home. The search algorithm accurately identified SARI for epidemiologic study and surveillance.
“Bundle” Practices and Ventilator-Associated Events: Not Enough
- John C. O’Horo, Haitao Lan, Charat Thongprayoon, Louis Schenck, Adil Ahmed, Mikhail Dziadzko, Ognjen Gajic, Priya Sampathkumar
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 37 / Issue 12 / December 2016
- Published online by Cambridge University Press:
- 19 September 2016, pp. 1453-1457
- Print publication:
- December 2016
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OBJECTIVE
Ventilator-associated events (VAEs) are nosocomial events correlated with length of stay, costs, and mortality. Current ventilator bundle practices target the older definition of ventilator-associated pneumonia and have not been systematically evaluated for their impact on VAEs.
DESIGNRetrospective cohort study.
SETTINGTertiary medical center between January 2012 and August 2014.
PARTICIPANTSAll adult patients ventilated for at least 24 hours at our institution.
INTERVENTIONSWe conducted univariate analyses for compliance with each element; we focused on VAEs occurring within a 2-day window of failure to meet any ventilator bundle element. We used Cox proportional hazard models to assess the effect of stress ulcer prophylaxis, deep vein thrombosis (DVT) prophylaxis, oral care, and sedation breaks on VAEs. We adjusted models for gender, age, and Acute Physiology and Chronic Health Evaluation (APACHE) III scores.
RESULTSOur cohort comprised 2,660 patients with 16,858 ventilator days and 77 VAEs. Adjusting for APACHE score and gender, only oral care was associated with a reduction in the risk of VAE (hazard ratio [HR], 0.44; 95% confidence interval [CI], 0.26–0.77). The DVT prophylaxis and sedation breaks did not show any significant impact on VAEs. Stress ulcer prophylaxis trended toward an increased risk of VAE (HR, 1.59; 95% CI, 1.00–2.56).
CONCLUSIONAlthough limited by a low baseline rate of VAEs, existing ventilator bundle practices do not appear to target VAEs well. Oral care is clearly important, but the impact of DVT prophylaxis, sedation breaks, and especially stress ulcer prophylaxis are questionable at best.
Infect Control Hosp Epidemiol 2016;1453–1457