Faculty Bibliography

Corrigendum to: Jeffrey A. Wilhite*, Khemraj Hardowar, Harriet Fisher, Barbara Porter, Andrew B. Wallach, Lisa Altshuler, Kathleen Hanley, Sondra R. Zabar and Colleen C. Gillespie. Clinical problem solving and social determinants of health: a descriptive study using unannounced standardized patients to directly observe how resident physicians respond to social determinants of health. Diagnosis 2020, Volume 7, Issue 3, pages 313-324. https://urldefense.proofpoint.com/v2/url?u=https-3A__doi.org_10&d=DwIBAg&c=j5oPpO0eBH1iio48DtsedeElZfc04rx3ExJHeIIZuCs&r=CY_mkeBghQnUPnp2mckgsNSbUXISJaiBQUhM-Uz9W58&m=TyoCBAKzCpBZ4-uIICybN67eGKr9ePdBC-WexDhSuSM&s=-H9hUl6CWWk07_DiPQFbSmQyI2qWxw4tQLZIEBIpIVY&e= . 1515/dx-2020-0002. Unfortunately, a typographic error in the results portion of the abstract was missed during final stages of proofing and editing. The count of full elicitors should read as 38/68 rather than 28/68, and the % of negative elicitors is 23%. The corrected results read as follows: Residents fell into three groups when it came to clinical problem-solving around a housing trigger for asthma: those who failed to ask about housing and therefore did not uncover mold as a potential trigger (neglectors - 21%; 14/68); those who asked about housing in negative ways that prevented disclosure and response (negative elicitors - 23%, 16/68); and those who elicited and explored the mold issue (full elicitors - 56%; 38/68).
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Objective/UNASSIGNED:We assessed factors related to the integration of an office-based diet quality screener: nutrition counselling, cardiometabolic risk factors and patient/physician satisfaction. Methods/UNASSIGNED:We evaluated the impact of a 10-item diet quality measure (self-rated diet quality question and a 9-item Mediterranean Diet Score (MDS)) prior to the cardiology visit on assessment of nutrition counselling, cardiometabolic risk factors and patient/provider satisfaction. Study staff trained the nine participating physicians on the purpose and use of the screener. To assess physician uptake of the diet quality screener, we reviewed all charts having a documented dietitian referral or visit and a 20% random sample of remaining participants that completed the screener at least once to determine the proportion of notes that referenced the diet quality screener and documented specific counselling based on the screener. Results/UNASSIGNED:. Almost one-fifth (18.5%) of participants rated their diet as fair or poor, and mean MDS (range 0-9) was moderate (mean 5.6±1.8 SD). Physicians referred 22 patients (2.5%) to a dietitian. Conclusion/UNASSIGNED:Integrating the screener into the electronic health record did not increase dietitian referrals, and improvements in screener scores were modest among the subset of patients completing multiple screeners. Future work could develop best practices for physicians in using diet quality screeners to allow for some degree of standardisation of nutrition referral and counselling received by the patients.