Health care organizations increasingly employ community health workers (CHWs) to help address growing provider shortages, improve patient outcomes, and increase access to culturally sensitive care among traditionally inaccessible or disenfranchised patient populations. Scholarly interest in CHWs has grown in recent decades, but researchers tend to focus on how CHWs affect patient outcomes rather than whether and how CHWs fit into the existing health care workforce. This paper focuses on the factors that facilitate and impede the integration of the CHWs into health care organizations, and strategies that organizations and their staff develop to overcome barriers to CHW integration. We use qualitative evaluation data from 13 awardees that received Health Care Innovation Awards from the Centers of Medicare and Medicaid Innovation to enhance the quality of health care, improve health outcomes, and reduce the cost of care using programs involving CHWs. We find that organizational capacity, support for CHWs, clarity about health care roles, and clinical workflow drive CHW integration. We conclude with practical recommendations for health care organizations interested in employing CHWs.

Community Benefit Insight (CBI) is a publicly available, web-based resource that aggregates US-based nonprofit hospital community benefit spending data reported to the Internal Revenue Service (IRS) from 2010 through 2019. CBI aims to display these data within a clear, approachable interface, making information easy for a user to find and interpret. By making these data available and accessible, CBI can help inform conversations and partnerships between nonprofit hospitals and community stakeholders. This paper provides an overview of the development of the infrastructure that supports CBI’s capabilities; how IRS-released community benefit spending data are prepared and maintained for CBI’s use; and how the tool is currently used, promoted, and evaluated to better meet user needs.

BACKGROUND Many US hospitals are classified as nonprofits and receive tax-exempt status partially in exchange for providing benefits to the community. Proof of compliance is collected with the Schedule H form submitted as part of the annual Internal Revenue Service Form 990 (F990H), including a free-response text section that is known for being ambiguous and difficult to audit. This research is among the first to use natural language processing approaches to evaluate this text section with a focus on health equity and disparities. OBJECTIVE This study aims to determine the extent to which the free-response text in F990H reveals how nonprofit hospitals address health equity and disparities, including alignment with public priorities. METHODS We used free-response text submitted by hospital reporting entities in Part V and VI of the Internal Revenue Service Form 990 Schedule H between 2010 and 2019. We identified 29 main themes connected to health equity and disparities, and 152 related key phrases. We tallied occurrences of these phrases through term frequency analysis, calculated the Moran I statistic to assess geographic variation in 2018, analyzed Google Trends use for the same terms during the same period, and used semantic search with Sentence-BERT in Python to understand contextual use. RESULTS We found increased use from 2010 to 2019 across all the 29 phrase themes related to health equity and disparities. More than 90% of hospital reporting entities used terms in 2018 and 2019 related to affordability (2018: 2117/2131, 99.34%; 2019: 1620/1627, 99.57%), government organizations (2018: 2053/2131, 96.33%; 2019: 1577/1627, 96.93%), mental health (2018: 1937/2131, 90.9%; 2019: 1517/1627, 93.24%), and data collection (2018: 1947/2131, 91.37%; 2019: 1502/1627, 92.32%). The themes with the largest relative increase were <i>LGBTQ</i> (lesbian, gay, bisexual, transgender, and queer; 1676%; 2010: 12/2328, 0.51%; 2019: 149/1627, 9.16%) and <i>social determinants of health</i> (958%; 2010: 68/2328, 2.92%; 2019: 503/1627, 30.92%). Terms related to <i>homelessness</i> varied geographically from 2010 to 2018, and terms related to <i>equity</i>, <i>health IT</i>, <i>immigration</i>, <i>LGBTQ, oral health</i>, <i>rural</i>, <i>social determinants of health</i>, and <i>substance use</i> showed statistically significant (<i>P</i>&lt;.05) geographic variation in 2018. The largest percentage point increase was for terms related to substance use (2010: 403/2328, 17.31%; 2019: 1149/1627, 70.62%). However, use in themes such as <i>LGBTQ</i>, <i>disability, oral health,</i> and <i>race and ethnicity</i> ranked lower than public interest in these topics, and some increased mentions of themes were to explicitly say that no action was taken. CONCLUSIONS Hospital reporting entities demonstrate an increasing awareness of health equity and disparities in community benefit tax documentation, but these do not necessarily correspond with general population interests or additional action. We propose further investigation of alignment with community health needs assessments and make suggestions for improvements to F990H reporting requirements.

Background Many US hospitals are classified as nonprofits and receive tax-exempt status partially in exchange for providing benefits to the community. Proof of compliance is collected with the Schedule H form submitted as part of the annual Internal Revenue Service Form 990 (F990H), including a free-response text section that is known for being ambiguous and difficult to audit. This research is among the first to use natural language processing approaches to evaluate this text section with a focus on health equity and disparities. Objective This study aims to determine the extent to which the free-response text in F990H reveals how nonprofit hospitals address health equity and disparities, including alignment with public priorities. Methods We used free-response text submitted by hospital reporting entities in Part V and VI of the Internal Revenue Service Form 990 Schedule H between 2010 and 2019. We identified 29 main themes connected to health equity and disparities, and 152 related key phrases. We tallied occurrences of these phrases through term frequency analysis, calculated the Moran I statistic to assess geographic variation in 2018, analyzed Google Trends use for the same terms during the same period, and used semantic search with Sentence-BERT in Python to understand contextual use. Results We found increased use from 2010 to 2019 across all the 29 phrase themes related to health equity and disparities. More than 90% of hospital reporting entities used terms in 2018 and 2019 related to affordability (2018: 2117/2131, 99.34%; 2019: 1620/1627, 99.57%), government organizations (2018: 2053/2131, 96.33%; 2019: 1577/1627, 96.93%), mental health (2018: 1937/2131, 90.9%; 2019: 1517/1627, 93.24%), and data collection (2018: 1947/2131, 91.37%; 2019: 1502/1627, 92.32%). The themes with the largest relative increase were LGBTQ (lesbian, gay, bisexual, transgender, and queer; 1676%; 2010: 12/2328, 0.51%; 2019: 149/1627, 9.16%) and social determinants of health (958%; 2010: 68/2328, 2.92%; 2019: 503/1627, 30.92%). Terms related to homelessness varied geographically from 2010 to 2018, and terms related to equity, health IT, immigration, LGBTQ, oral health, rural, social determinants of health, and substance use showed statistically significant (P<.05) geographic variation in 2018. The largest percentage point increase was for terms related to substance use (2010: 403/2328, 17.31%; 2019: 1149/1627, 70.62%). However, use in themes such as LGBTQ, disability, oral health, and race and ethnicity ranked lower than public interest in these topics, and some increased mentions of themes were to explicitly say that no action was taken. Conclusions Hospital reporting entities demonstrate an increasing awareness of health equity and disparities in community benefit tax documentation, but these do not necessarily correspond with general population interests or additional action. We propose further investigation of alignment with community health needs assessments and make suggestions for improvements to F990H reporting requirements.