Abstract
Keywords
Background and Significance
In the United States, 1 in 5 children live in poverty, with 47% of children in the South Bronx living below the federal poverty level. 1 There is a growing body of research supporting the impact of social and economic factors on health outcomes. Social determinants of health (SDH) are defined by the World Health Organization as “the conditions, in which people are born, grow, work, live, and age, and the wider set of forces and systems shaping the conditions of daily life.” 2 Unmet social needs are linked to increased prevalence of asthma, obesity, infant mortality, and poorer developmental outcomes in children specifically.3,4 Though population health studies continue to support the impact of social factors on community health, it is less clear how health systems can address these social influences in practical ways at the clinic center level beyond advocating for national and state health policies that support social programs.5-8 Several recent studies suggest that screening for social needs in ambulatory settings is associated with increased uptake of social services,9-11 and furthermore, an increased uptake of social services may be associated with improved health outcomes.12,13 In 2016, the American Academy of Pediatrics issued a policy statement on poverty and child health, which recommended that providers “screen for risk factors within social determinants of health during patient encounters.” 14 However, translating this policy recommendation into practice is difficult due to the dearth of evidence-based research to guide health center level implementation.15,16
Academic centers and their community-based partners may have a unique role to play in addressing these knowledge gaps.3,15,17,18 Starting in 2016, our health system partnership, consisting of a partnership between the Bronx Community Health System, Montefiore Office of Community and Population Health, and the Montefiore Medical Group ambulatory network, launched a new initiative aimed to systematize screening and outreach initiatives for social needs at ambulatory sites. In collaboration with these partners, we co-developed the Community Linkage to Care (CLC) program, which aimed to leverage the resources provided by this initiative, translate policy recommendations into practice, and identify core program elements for an integrated social needs screening and outreach model using provider, staff, and patient feedback as guidance. In this article, we describe our experiences developing and implementing this novel program to illustrate that social needs screening in an ambulatory pediatric clinic is both feasible and practical.
Setting
The site of the CLC pilot is a federally qualified health center. It was founded in 1967 as one of the first community health centers in the Bronx and provides primary care services, including pediatrics, adult medicine, obstetrics and gynecology, dental, mental health, social services, dermatology, and podiatry and is the ambulatory training site for residents in a Social Medicine residency program. In 2017, 11 pediatric providers conducted approximately 17 000 visits.
The clinic is located in New York’s 15th congressional district in the South Bronx. This is the poorest urban district in the United States, with a median household income roughly half of the national and state average. 19 In addition to high rates of child poverty, food insecurity, and homelessness, the Bronx has the highest rates of preterm births, infant mortality, childhood obesity, asthma, and teen births in New York City. 20 Bronx County consistently ranks last in health outcomes for New York State. 21
Methods
Piloting and Developing Community Linkage to Care Program
Many departments, community-based partners, and divisions within our health system collaborated to introduce a system-wide SDH screening initiative to identify patients with unmet social needs throughout its ambulatory network. Some of the authors on this article were involved in a working group to develop the screening instrument that would be integrated into our electronic medical record (EMR). The screen was adapted from the Health Leads screening toolkit 22 and included 7 yes/no validated questions on domains such as housing insecurity and quality, food insecurity, health care costs, utilities, transportation, childcare, and violence. As part of the New York State Delivery System Reform Incentive Program (DSRIP), this site received funding to support a variety of additional staffing, including community health workers (CHWs) and a social worker. CHWs are members of the Bronx community who are trained by a community-based organization partner to provide additional support services to patients and families, and who serve as a link between the health system and community resources.
Over the pilot period of 12 months, our team delineated core program elements based on guidelines for integrating CHWs into health centers 23 and staff feedback. This process resulted in a focus on standardized workflows for both screening and referral, developing CHW scope of work, creating new data systems, and developing performance improvement opportunities. Based on staff experience with the screen, screening data, and several revisions, our multidisciplinary patient-centered medical home (PCMH) transformation team including nurses, physicians, administrative staff, and transformation coach developed new clinical workflows for both screening and referrals processes. All the pilot activities were integrated as a new focused project within ongoing PCMH activities including assigning a project team, obtaining leadership buy-in and support, and planning performance metrics, such as number of screens completed and percentage of providers using the screen. Multiple discussions were planned with our site medical director, who provided leadership and direction, as well as the health center administration director. Within this team, we had bimonthly discussions on developing and adjusting a clinic workflow for both screening and referring positive screens, using an iterative approach and revising based on implementer feedback that was provided during PCMH meetings and performance metrics. Finalizing the CLC workflow involved discussions determining screening frequency, roles of different team members, and referral protocols. This team was also responsible for educating and training staff on how to conduct screening and referrals. Daily morning huddles were used to reinforce program elements and discuss issues. Of note, this project was a part of expected PCMH functions and did not involve specific research funding, support, or staff.
Measures
Data collection and performance improvement measures were adapted using an implementation science framework, RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance),
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to guide assessment and define and organize metrics (Table 1). Screening results and pediatric visit encounters were extracted on a monthly basis from our EMR, Epic. We tabulated metrics using Microsoft Excel tables and constructed run charts for
Overview of Community Linkage to Care Program Evaluation Metrics, Adapted From RE-AIM Framework, Including Pilot Phase, RE-AIM Domain, Metric Name, and Definition.
Abbreviations: RE-AIM, Reach, Effectiveness, Adoption, Implementation, and Maintenance; CHW, community health worker.
Ethics
This study was reviewed and approved by the Institutional Review Board at Albert Einstein School of Medicine (IRB# 2017-8434).
Results
Components of Community Linkage to Care Program
Starting in May 2017, we conducted an iterative and experiential process through PCMH meetings to establish key elements of the CLC program that resulted in the following (Figure 1): (1)

Schematic of Community Linkage to Care program elements.
Developing Clinic-Based Workflow
Our PCMH team was tasked with the development of a clinic-specific workflow for this initiative. Modifications to the workflow were driven by discussions among PCMH team members until a final consensus was agreed upon (Figure 2). For our patient population, we focused on annual well-child exams, adapting a recommendation by the AAP 2016 statement and Bright Futures Guidelines.14,25 Reasons for this choice were based on perceived feasibility for both staff and families. At annual visits, our staff is accustomed to handing out screens, and caregivers expect to complete forms. Caregivers are given SDH screens in the exam room

Community Linkage to Care health center workflow for social needs screening and community health worker referrals.
Reach Metrics
There were 7266 active CHCC pediatric patients during the study period from May 1, 2017 through April 1, 2018 as summarized in Table 2. A total of 4162 SDH screens were conducted at 6410 eligible well-child visits for an overall screening rate of 65%. The median monthly primary
Summary of social needs screen results at Community Linkage to Care Pilot from May 1, 2017 to April 1, 2018.
Abbreviations: IQR, interquartile range; SDH, social determinants of health.
Percent total >100% because 37.8% (n = 310) of positive SDH screens had more than 1 positive item.

Summary of monthly social determinant of health screens (bar) and social needs screening percentages (line) with key time events from May 1, 2017 to April 1, 2018.
Adoption Metrics
Providers were considered “active” in SDH screening if screens were performed on more than half of their well-child encounters for that month (Figure 4). The percent of “active” providers ranged from 50% to 100%, depending on the month, with an average of 76% of providers actively participating in screening over the study period. The total number of providers present in clinic varied month to month due to medical leaves, vacation, and transitioning of providers.

Summary of monthly number of “active” providersa (bar) and percentage of “active” providers (line) from May 1, 2017 to April 1, 2018.
Performance Improvement Activities and Staff Engagement
As part of monthly PCMH meetings, we discussed progress and issues with the program and made changes as applicable. Provider champions reviewed metrics and kept a log of changes in clinic environment. We associated each “event” in the log with one of the CLC program key components. Figure 3 is annotated with the following key events that
Discussion
Our initial experience translating policy recommendations into practice resulted in a novel and feasible program that incorporated clinical provider feedback, and this case example contributes to addressing the gap in knowledge regarding optimizing and applying guidelines to screen for social needs in a real-world setting.15,16 We attribute observed progress of the CLC program pilot to be a result of identifying and being explicit about key program components, as we found that these components helped sustain the screening process through multiple clinic environmental changes (ie, staff turnover). These elements included utilizing an established social needs screen, having clear referral protocols, defining the role and scope of work, designating provider champions, engaging administrative liaison(s), and making program changes based on provider feedback. To ensure a screening process that would be successful in our individual clinic center, we went through an iterative process using an established forum, our PCMH meetings, to develop and improve workflows. The workflow design included all members of our clinic team (front desk staff, nursing staff, providers, CHWs) and avoided automatically referring patients to our social worker or CHW. Rather, the design emphasized the importance of family-centered screening and shared decision making. 5 Over an 11-month period, we screened more than 4000 patients and encountered almost 800 positive screens, about 20% of the screened population. Most of our providers were actively engaged in the screening process during any given month of the study period.
There were several limitations regarding the generalizability of our experience. With regard to context, we were operating at a clinic site that had previous experience with social medicine principles, with a majority of physicians acknowledging the impact of social needs and being open to addressing these needs in a well-child visit. Therefore, there was likely a high level of provider buy-in prior to program implementation initially and may limit generalizability. Next, our workflow included grant-funded CHWs, which may not be financially feasible at other health centers. As mentioned in multiple monthly meetings, it is likely that the integration of CHWs to assist families motivated clinic team members to screen patients. Although CHWs, who are themselves members of the community, may be more effective in communicating and coordinating referrals, we did not assess this in our study. Furthermore, there may be alternative team members who could play this role, as other programs have successfully screened for social needs utilizing other positions with different titles but similar roles such as patient navigators, resource handouts, or in-depth physician training with success.9,12 In regard to our metrics, data was solely extracted from an EMR system, which is not ideal as there may have been missing screening data and/or mistakes in data entry. Finally, we used ICD-10 (International Classification of Diseases–10th Revision) codes to determine the “number of eligible visits” for both
There clearly remain additional opportunities for improvement with multiple quality improvement projects underway. We are working in collaboration with multiple actors and health system leadership regarding the sustainability of the model, including funding for CHWs, implementing neighborhood- or place-based interventions targeting SDH, optimizing outreach for social needs categories such as food insecurity, and studying the impact of the CLC program on healthcare utilization, outcomes, and costs. Our experience suggests that screening for social needs at well-child visits is both feasible and practical even in a busy ambulatory pediatric clinic. This case description and these findings will inform scale strategies planned for other ambulatory sites within our health system. We attribute our initial progress to leveraging health center resources, including provider buy-in, and having structural components in place to sustain screening, including a practical workflow, resource availability, provider champions, and meaningful metrics.
Footnotes
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors received funding support from the Doris Duke Charitable Foundation (grant #2018169) to support the publication of this article.
