ABSTRACT
OBJECTIVES: This study evaluated how often patients who reported social risk factors requested assistance with these risks in an integrated health system. METHODS: We examined how self-reports of risk related to stated desire for help with that risk reported during social risk screenings at Kaiser Permanente Northwest (KPNW). We examined how patient characteristics were associated with desire for help with each social risk domain using logistic regression. RESULTS: Approximately 24% (n = 7,807) of the 32,865 KPNW members aged ≥ 18 years who were screened between June 1, 2017, and December 31, 2019, reported at least 1 social risk. More than half of patients who reported a risk were risk/help concordant (i.e., they also wanted help with that risk). The highest concordance (81.7%) was observed among patients reporting medical financial hardship. Several demographic, health, and other factors were associated with concordance across domains. CONCLUSIONS: Patients do not request assistance for all reported social needs. Our findings could help shape future work examining patients' reasons for not accepting assistance and developing interventions to help patients with high social risk more effectively.
Subject(s)
Delivery of Health Care , Humans , Logistic Models , Self ReportABSTRACT
OBJECTIVE: Although the value of collecting occupational data is well-established, these data are not systematically collected in clinical practice. We assessed the availability of electronic health record (EHR)-based occupation data within a large integrated health care system to determine the feasibility of its use in research. MATERIALS AND METHODS: We used a mixed-methods approach to extract EHR data and define employment status, employer, and employment industry of 1107 colorectal cancer survivors. This was a secondary analysis of a subset of the Patient Outcomes Research to Advance Learning (PORTAL) colorectal cancer cohort. RESULTS: We categorized the employment industry for 46% of the cohort. Employment status was available for 58% of the cohort. The employer was missing for over 95% of the cohort. CONCLUSION: By combining data from structured and free-text EHR fields, we identified employment status and industry for approximately half of our sample. Findings demonstrate limitations of EHR data and underscore the need for systematic collection of occupation data in clinical practice.
ABSTRACT
During the study of inhibition of amyloid fibril formation, α-chymotrypsin protein was developed in 55% ethanol at pH 7.0. We investigated the inhibitory effect of different spices on amyloid fibril formation using turbidity measurements and Congo red binding assays. We found that all spices except the black pepper and caraway seed prevented fibril formation. The highest inhibition was measured with the clove, which reduced the amount of aggregates by 90%. We studied the inhibitory effect of the cloves at different concentrations on aggregation, it was found that the inhibitory activity of clove is dependent on concentration. We have measured the total phenolic content of the spice extracts too. Based on all these findings we have come to the following conclusion: Our results indicate that spices can contain other compounds too - not only phenolic compounds - which influence the formation of amyloid fibrils, and the effectiveness of various phenolic compounds are different.