Faculty Bibliography

BACKGROUND: While much is known about the importance of addressing Social Determinants of Health (SDoH), less is known about how physicians elicit, respond to, and act upon their patients' SDoH information. We report on the results of a study that 1) sent Unannounced Standardized Patients (USPs) with programmed SDoH into clinics to assess whether providers uncovered, explored and acted upon the SDoH, 2) provided audit/feedback reports with educational components to clinical teams, and 3) tracked the impact of that intervention on provider response to SDoH.
METHOD(S): Highly trained USPs (secret shoppers) portrayed six scenarios (fatigue, asthma, Hepatitis B concern, shoulder pain, back pain, well-visit), each with specific housing (overcrowding, late rent, and mold) and social isolation (shyness, recent break up, and anxiety) concerns that they shared if asked broadly about. USPs assessed team and provider SDoH practices (eliciting, acknowledging/exploring, and providing resources and/or referrals). 383 USP visits were made to residents in 5 primary care teams in 2 urban, safety- net clinics. 123 visits were fielded during baseline period (Feb 2017-Jan 2018); 185 visits during intervention period (Jan 2018-Mar 2019) throughout which quarterly audit/feedback reports of the teams' response to the USPs' SDoH and targeted education on SDoH were distributed; and 75 follow-up phase visits were fielded (Apr-Dec 2019). Analyses compared rates of eliciting and responding to SDoH across the 3 periods (chi- square, z-scores). One team, by design, did not receive the intervention and serves as a comparison group.
RESULT(S): Among the intervention teams, the rate of eliciting the housing SDoH increased from 46% at baseline to 59% during the intervention period (p=.045) and also increased, but not significantly, for the social issue (40% to 52%, p=.077). There was a significant increase from baseline to intervention in providing resources/referrals for housing (from 7% to 24%, p=.001) and for social isolation (from 13% to 24%, p=.042) (mostly resources, very few referrals were made). The comparison team's rates followed a different pattern: eliciting the housing issue and the social isolation issue decreased from baseline to the intervention period (housing: 61% to 45%; social isolation: 39% to 33% of visits) and the rate of providing resources/referrals stayed steady at 13% for both. In the cases where SDoH were most clinically relevant, baseline rates of identifying the SDoH were high (>70%) but rates of acting on the SDoH increased significantly from baseline to intervention. Increases seen in the intervention period were not sustained in the follow-up period.
CONCLUSION(S): Giving providers SDoH data along with targeted education was associated with increased but unsustained rates of eliciting and responding to housing and social issues. The USP methodology was an effective means of presenting controlled SDoH and providing audit/feedback data. Ongoing education and feedback may be needed

BACKGROUND: Social determinants of health (SDoH) play a significant role in health outcomes, but little is known about care teams' attitudes about addressing SDoH. Our safety-net clinic has begun to implement SDoH screening and referral systems, but efforts to increase clinical responses to SDoH necessitates an understanding of how providers and clinical teams see their roles in responding to particular SDoH concerns.
METHOD(S): An annual survey was administered (anonymously) to clinical care teams in an urban safety-net clinic from 2017-2019, asking about ten SDoH conditions (mental health, health insurance, food, housing, transportation, finances, employment, child care, education and legal Aid). For each, respondents rated with a 4-point Likert-scale whether they agreed that health systems should address it (not at all, a little, somewhat, a great deal). They also indicated their agreement (using strongly disagree, somewhat disagree, somewhat agree, strongly agree) with two statements 1) resources are available for SDoH and 2) I can make appropriate referrals.
RESULT(S): 232 surveys were collected (103 residents, 125 faculty and staff (F/S), 5 unknown) over three years. Of note, mental health (84%) and health insurance (79%) were seen as very important for health systems to address, with other SDoH items seen as very important by fewer respondents. They reported little confidence that the health system had adequate resources (51%) and were unsure how to connect patients with services (39%). When these results were broken out by year, we found the following: In 2017 (n=77), approximately 35% of respondents thought the issues of employment, childcare, legal aid, and adult education should be addressed "a little," but in 2018 (n=81) and 2019 (n=74) respondents found the health system should be more responsible, with over 35% of respondents stating that these four issues should be addressed "somewhat" by health systems. In addition, half of respondents in 2019 felt that financial problems should be addressed "a great deal," up from 31% in 2017. Across all years, food, housing, mental health, and health insurance were seen as SDoH that should be addressed "a great deal". It is of note that respondents across all years reported limited understanding of referral methods and options available to their patients.
CONCLUSION(S): Many of the SDoH conditions were seen by respondents as outside the purview of health systems. However, over the three years, more members increased the number of SDoH conditions that should be addressed a "great deal." Responses also indicated that many of the team members do not feel prepared to deal with "unmet social needs". Additional examination of clinic SDoH coding, referral rates, resources, and team member perspectives will deepen our understanding of how we can cultivate a culture that enables team members to respond to SDoH in a way that is sensitive to their needs and patient needs

BACKGROUND: While much is known about the importance of addressing Social Determinants of Health, less is known about how members of the care team respond to patient-volunteered SDoH - especially when the determinant is related to financial insecurity. With increasing calls for universal screening for SDoH - what do teams do when a patient shares a financial concern? We report on the use of Unannounced Standardized Patients (USP) to assess how primary care teams respond to volunteered information about financial insecurity and whether an audit/ feedback intervention (with targeted education included) improved that response.
METHOD(S): Highly trained USPs (secret shoppers) portrayed six common scenarios (fatigue, asthma, Hepatitis B concern, shoulder pain, back pain, well visit). USPs volunteered a financial concern (fear of losing job, challenges with financially supporting parent, trouble meeting rent) to the medical assistant (MA) and then again to their provider and assessed the response of both the MA (did they acknowledge and/ or forward the information to the provider?) and the provider (did they acknowledge/ explore and/or provide resources/referrals?). A total of 383 USP visits were delivered to 5 care teams in 2 safety-net clinics. Providers were medicine residents. 123 visits were fielded during the baseline period (Feb 2017-Jan 2018); 185 visits during the intervention period (Jan 2018-Mar 2019) throughout which quarterly audit/feedback reports of the teams' response to the USPs' SDoH and targeted education on SDoH were distributed. 75 follow-up phase visits were fielded (Apr- Dec 2019). Analyses compared rates of MA and provider response to the volunteered financial insecurity issue across the 3 periods (chi-square, z-scores).
RESULT(S): The baseline rate of responding in some way to the volunteered information was high for both the MA (86% acknowledged) and the providers (100% responded). These overall rates of response did not change substantially or significantly across the three time periods (MA: Intervention period = 87%, Follow- Up period=90%; Provider: Intervention period=98%; Follow-Up period=98%). Rates of acting upon the volunteered information also remained quite consistent across the time periods: from 29 to 35% of MA forwarded the information to the provider across the 3 time periods and from 22 to 28% of providers in each intervention period gave the patient resources or a referral (mostly resources).
CONCLUSION(S): Our findings highlight the importance of patients directly telling team members about a financial concern. Future research should explore whether screening tools are effective in instigating a response. Audit/feedback reports with targeted educational components did not appear to influence the teams' response unlike what we found for housing and social concerns that had to be elicited. Whether this is due to differences in volunteered vs. elicited SDoH or to the nature of the SDoH (financial vs housing/social) warrants further investigation

BACKGROUND: There's been a recent shift toward addressing social determinants of health (SDoH) during the clinical encounter through discussion and documentation. SDoH documentation in the problem list and through billing-related z-code use is necessary for accurate, individual patient and population level tracking andmay improve quality of care.We sought to better understand if/how providers document their patient's SDoH when elicited during a clinical visit.
METHOD(S): Unannounced Standardized Patients (USPs) were sent to two safety-net clinics to assess how medicine residents care for a new patient presenting with one of six unique chief complaints, and accompanying underlying financial, housing, and social concerns. USPs assessed resident practices after the encounter through a behaviorally anchored checklist and systematic chart review. USPs volunteered financial concerns while housing insecurity and social isolation needed to be elicited by the provider. Checklist items assessed if the USP was able to fully disclose their SDoH to the provider. Provider documentation in the electronic medical record (EMR) in one of three spaces: the history of present illness (HPI), the problem list, or through use of a social determinant-specific Zcode was examined when a USP was able to share their concerns.
RESULT(S): 384 USP visits were sent to medical residents from 2017 to 2019. USPs were able to share their financial concerns during 84% of the encounters, but were less likely to be able to share their housing or social concerns with providers (35% and 28%, respectively). Documentation in the HPI and treatment list remained low across cases (<15%) and only one Z-code was used across all visits. On an individual case level, providers addressed housing insecurity most frequently in the asthma case (discussion 65%; documentation: HPI 39%, Plan 16%) and social isolation in the fatigue case (discussion 57%; documentation: HPI 49%, Plan 2%). Providers were least likely to discuss and document SDoH for patients presenting with acute pain.
CONCLUSION(S): In clinical scenarios where SDoH concerns were elicited, residents documented SDoH in less than half of visits. Omission of SDoH not only effects clinical care but also panel management and SDoH population-level estimations. New education strategies are needed to address resident's ability to elicit and accurately document SDoH

Background New York City (NYC) has borne the greatest burden of COVID-19 in the United States, but information about characteristics and outcomes of racially/ethnically diverse individuals tested and hospitalized for COVID-19 remains limited. In this case series, we describe characteristics and outcomes of patients tested for and hospitalized with COVID-19 in New York City's public hospital system. Methods We reviewed the electronic health records of all patients who received a SARS-CoV-2 test between March 5 and April 9, 2020, with follow up through April 16, 2020. The primary outcomes were a positive test, hospitalization, and death. Demographics and comorbidities were also assessed. Results 22254 patients were tested for SARS-CoV-2. 13442 (61%) were positive; among those, the median age was 52.7 years (interquartile range [IQR] 39.5-64.5), 7481 (56%) were male, 3518 (26%) were Black, and 4593 (34%) were Hispanic. Nearly half (4669, 46%) had at least one chronic disease (27% diabetes, 30% hypertension, and 21% cardiovascular disease). Of those testing positive, 6248 (46%) were hospitalized. The median age was 61.6 years (IQR 49.7-72.9); 3851 (62%) were male, 1950 (31%) were Black, and 2102 (34%) were Hispanic. More than half (3269, 53%) had at least one chronic disease (33% diabetes, 37% hypertension, 24% cardiovascular disease, 11% chronic kidney disease). 1724 (28%) hospitalized patients died. The median age was 71.0 years (IQR 60.0, 80.9); 1087 (63%) were male, 506 (29%) were Black, and 528 (31%) were Hispanic. Chronic diseases were common (35% diabetes, 37% hypertension, 28% cardiovascular disease, 15% chronic kidney disease). Male sex, older age, diabetes, cardiac history, and chronic kidney disease were significantly associated with testing positive, hospitalization, and death. Racial/ethnic disparities were observed across all outcomes. Conclusions and Relevance This is the largest and most racially/ethnically diverse case series of patients tested and hospitalized for COVID-19 in the United States to date. Our findings highlight disparities in outcomes that can inform prevention and testing recommendations.

Ascending to the peak of the novel coronavirus disease (COVID-19) pandemic in New York City, NYC Health + Hospitals (NYC H+H), the City's public health care system, rapidly expanded capacity across its 11 acute-care hospitals and three new field hospitals. To meet the unprecedented demand for patient care, NYC H+H redeployed staff to the areas of greatest need and redesigned recruiting, onboarding, and training processes. The hospital system engaged private staffing agencies, partnered with the U.S Department of Defense, and recruited volunteers throughout the country. A centralized onboarding team created a single-source portal for medical providers requiring credentialing and established new staff positions to increase efficiency. Using new educational tools focused on COVID-19 content, the hospital system trained 20,000 staff, including nearly 9,000 nurses, within a two-month period. Creation of multidisciplinary teams, frequent enterprise-wide communication, willingness to shift direction in response to changing needs, and innovative use of technology were the key factors that enabled the hospital system to meet its goals. [Editor's Note: This Fast Track Ahead Of Print article is the accepted version of the manuscript. The final edited version will appear in an upcoming issue of Health Affairs.].

NYC Health + Hospitals (NYC H+H) is the largest safety net health care delivery system in the United States. Prior to the novel coronavirus disease (COVID-19) pandemic, NYC H+H served over one million patients, including the most vulnerable New Yorkers, and billed fewer than 500 telehealth visits monthly. Once the pandemic struck, we established a strategy to allow us to continue to serve existing patients and treat the surge of new patients. Starting in March 2020 we were able to transform the system using virtual care platforms through which we conducted almost 83,000 billable televisits in one month and more than 30,000 behavioral health encounters via telephone and video. Telehealth also enabled us to support patient-family communication, post-discharge follow-up, and palliative care for COVID-19 patients. Expanded Medicaid coverage and insurance reimbursement for telehealth played a pivotal role in this transformation. As we move to a new blend of virtual and in-person care, it is vital that the major regulatory and insurance changes undergirding our COVID-19 telehealth response be sustained to protect access for our most vulnerable patients. [Editor's Note: This Fast Track Ahead Of Print article is the accepted version of the manuscript. The final edited version will appear in an upcoming issue of Health Affairs.].

Colorectal cancer (CRC) screening has increased substantially in New York City in recent years. However, screening uptake measured by telephone surveys may not fully capture rates among underserved populations. We measured screening completion within one year of a primary care visit among previously unscreened patients in a large urban safety-net hospital and identified sociodemographic and health-related predictors of screening. We identified 21,256 patients aged 50-75 who were seen by primary care providers (PCPs) in 2014, of whom 14,425 (67.9%) were not up-to-date with screening. Since PCPs facilitate the majority of screening, we compared patients who received screening within one year of an initial PCP visit to those who remained unscreened using multivariable logistic regression. Among patients not up-to-date with screening at study outset, 11.5% (1,658 patients) completed screening within one year of a PCP visit. Asian race, more PCP visits, and higher area-level income were associated with higher screening completion. Factors associated with remaining unscreened included morbid obesity, ever smoking, Elixhauser comorbidity index of 0, and having Medicaid/Medicare insurance. Age, sex, language, and travel time to the hospital were not associated with screening status. Overall, 39.9% of patients were up-to-date with screening by 2015. In an underserved urban population, CRC screening disparities remain, and overall screening uptake was low. Since more PCP visits were associated with modestly higher screening completion at one year, additional community-level education and outreach may be crucial to increase CRC screening in underserved populations.

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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BACKGROUND:New York City (NYC) bore the greatest burden of COVID-19 in the United States early in the pandemic. In this case series, we describe characteristics and outcomes of racially and ethnically diverse patients tested for and hospitalized with COVID-19 in New York City's public hospital system. METHODS:We reviewed the electronic health records of all patients who received a SARS-CoV-2 test between March 5 and April 9, 2020, with follow up through April 16, 2020. The primary outcomes were a positive test, hospitalization, and death. Demographics and comorbidities were also assessed. RESULTS:22254 patients were tested for SARS-CoV-2. 13442 (61%) were positive; among those, the median age was 52.7 years (interquartile range [IQR] 39.5-64.5), 7481 (56%) were male, 3518 (26%) were Black, and 4593 (34%) were Hispanic. Nearly half (4669, 46%) had at least one chronic disease (27% diabetes, 30% hypertension, and 21% cardiovascular disease). Of those testing positive, 6248 (46%) were hospitalized. The median age was 61.6 years (IQR 49.7-72.9); 3851 (62%) were male, 1950 (31%) were Black, and 2102 (34%) were Hispanic. More than half (3269, 53%) had at least one chronic disease (33% diabetes, 37% hypertension, 24% cardiovascular disease, 11% chronic kidney disease). 1724 (28%) hospitalized patients died. The median age was 71.0 years (IQR 60.0, 80.9); 1087 (63%) were male, 506 (29%) were Black, and 528 (31%) were Hispanic. Chronic diseases were common (35% diabetes, 37% hypertension, 28% cardiovascular disease, 15% chronic kidney disease). Male sex, older age, diabetes, cardiac history, and chronic kidney disease were significantly associated with testing positive, hospitalization, and death. Racial/ethnic disparities were observed across all outcomes. CONCLUSIONS AND RELEVANCE/CONCLUSIONS:This is the largest and most racially/ethnically diverse case series of patients tested and hospitalized for COVID-19 in New York City to date. Our findings highlight disparities in outcomes that can inform prevention and testing recommendations.