Screening for Social Determinants of Health: Active and Passive Information Retrieval Methods

Ramirez, Sarah Stewart de; Shallat, Jaclyn; McClure, Keaton; Foulger, Roopa; Barenblat, Laurie

doi:10.1089/pop.2022.0228

Cited by 5 publications

(13 citation statements)

References 26 publications

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“…Six screening tools were administered to pediatric patients [ 27 , 29 – 31 , 37 , 47 ]. One was designed to assess pregnant patients [ 34 ], and the remaining tools ( n = 18) were utilized for general screening purposes in clinical settings, such as hospitals or clinical offices [ 13 , 25 , 26 , 28 , 32 , 33 , 35 , 36 , 38 – 46 , 48 – 53 ] Six tools were administered by healthcare professionals [ 13 , 25 , 30 , 32 , 46 , 49 ]; while 12 tools were completed by patients (or parents) either electronically or on paper [ 13 , 28 , 29 , 34 , 36 , 37 , 44 , 45 , 47 , 48 , 50 , 52 ]; six tools were administered verbally or were self-administered at the patient’s request [ 26 , 27 , 31 , 33 , 35 , 53 ]; The number of questions in any given SDoH assessment tool varied considerably and ranged from 5 in Health Leads (2018) and the North Carolina toolkit [ 36 ], as well as the Core 5 social risk tool [ 28 ] to 50 in the health system’s EPIC electronic health records screening tool [ 33 ]; overall, the mean number of questions in any given SDoH screening tool assessment was 16.6 (Table 2 ).…”

Section: Resultsmentioning

confidence: 99%

“…2 ). Various screening tools evaluated different domains, ranging from four domains (21%) in Health Leads and the North Carolina [ 36 ], and Friedman et al screening tools [ 30 ], to 11 (57.8%) within the natural language processing (NLP) [ 13 ], Income, Housing, Education, Legal status, Literacy, Personal safety (IHELP) [ 45 ], and Medical-legal advocacy screening questionnaire (MASQ) [ 44 ] tools (Fig. 3 ).…”

Section: Resultsmentioning

confidence: 99%

“…Tools such as Accountable Health Communities Health-Related Social Needs (AHC HRSN) [ 27 ], Welcome, Engage, Communicate, Ask, Reassure, Exit (WE CARE) [ 26 ], Social Determinants of Health in Pregnancy Tool (SIPT) [ 34 ], Core 5 social risk screening [ 28 ], Accountable Health Communities (modified) [ 29 ], North Carolina [ 51 ], and Bright Future [ 52 ] examined 5 domains of SDoH (26.3%). Four screening tools (16%) evaluated at least 10 (52.6%) different SDoH domains (Well Rx [ 50 ], NLP [ 13 ], IHELP [ 45 ], MASQ [ 44 ]), while the remaining screening tools ( n = 21, 84%) evaluated fewer SDoH domains (Table 3 ).…”

Section: Resultsmentioning

confidence: 99%

“…Twelve screening tools identified patient preferences toward receiving supplementary assistance relative to the SDoH identified. If the response was affirmative, referral to relevant social workers was made based on the positive domain that had been identified on screening [ 13 , 26 – 28 , 30 , 32 – 34 , 36 , 37 , 39 , 50 ]. Interestingly, three separate studies proposed interventions grounded in sports [ 38 ], sleep health [ 40 ], and developing a national agenda aimed at homelessness and homeless individuals to address SDoH [ 43 ].…”

Section: Resultsmentioning

confidence: 99%

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Screening tools to address social determinants of health in the United States: A systematic review

Neshan,

Padmanaban,

Tsilimigras

et al. 2024

J. Clin. Trans. Sci.

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The Centers for Medicare & Medicaid Services have mandated that hospitals implement measures to screen social determinants of health (SDoH). We sought to report on available SDoH screening tools. PubMed, Scopus, Web of Science, as well as the grey literature were searched (1980 to November 2023). The included studies were US-based, written in English, and examined a screening tool to assess SDoH. Thirty studies were included in the analytic cohort. The number of questions in any given SDoH assessment tool varied considerably and ranged from 5 to 50 (mean: 16.6). A total of 19 SDoH domains were examined. Housing (n = 23, 92%) and safety/violence (n = 21, 84%) were the domains assessed most frequently. Food/nutrition (n = 17, 68%), income/financial (n = 16, 64%), transportation (n = 15, 60%), family/social support (n = 14, 56%), utilities (n = 13, 52%), and education/literacy (n = 13, 52%) were also commonly included domains in most screening tools. Eighteen studies proposed specific interventions to address SDoH. SDoH screening tools are critical to identify various social needs and vulnerabilities to help develop interventions to address patient needs. Moreover, there is marked heterogeneity of SDoH screening tools, as well as the significant variability in the SDoH domains assessed by currently available screening tools.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Screening tools to address social determinants of health in the United States: A systematic review

Neshan,

Padmanaban,

Tsilimigras

et al. 2024

J. Clin. Trans. Sci.

View full text Add to dashboard Cite

show abstract

“…These complemented and expanded the individual-level SDoH data (food/housing security, transportation, interpersonal violence, etc.) captured directly in EHRs [25,26,28,46,73,82,84,[87][88][89][90][91][92][93].…”

Section: Longitudinal Study Data Included the National Longitudinal S...mentioning

confidence: 99%

Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions

Li,

Mowery,

et al. 2024

Preprint

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Background Social determinants of health (SDoH) like socioeconomics and neighborhoods strongly influence outcomes, yet standardized SDoH data is lacking in electronic health records (EHR), limiting research and care quality. Methods We searched PubMed using keywords "SDOH" and "EHR", underwent title/abstract and full-text screening. Included records were analyzed under five domains: 1) SDoH screening and assessment approaches, 2) SDoH data collection and documentation, 3) Use of natural language processing (NLP) for extracting SDoH, 4) SDoH data and health outcomes, and 5) SDoH-driven interventions. Results We identified 685 articles, of which 324 underwent full review. Key findings include tailored screening instruments implemented across settings, census and claims data linkage providing contextual SDoH profiles, rule-based and neural network systems extracting SDoH from notes using NLP, connections found between SDoH data and healthcare utilization/chronic disease control, and integrated care management programs executed. However, considerable variability persists across data sources, tools, and outcomes. Discussion Despite progress in identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical to fulfilling the potential of SDoH-EHR integration. Additional database searches could strengthen this scoping review. Ultimately widespread capture, analysis, and translation of multidimensional SDoH data into clinical care is essential for promoting health equity.

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Finances and employment domains are strong determinants when screening for unmet social needs in a predoctoral dental clinic: A preliminary assessment

Mays,

Ouyang,

Cooper

et al. 2024

Journal of Dental Education

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IntroductionRecent efforts by advocates and policy makers have articulated the importance of gaining a deeper understanding of determinants of health to improve health outcomes and reduce health disparities. Social determinants of health (SDOH) are routinely taught in oral health professions curriculum; however, there are limited studies assessing clinical implications. The purpose of this study was to assess the prevalence of SDOH in dental school clinics and associations with socioeconomic and demographic data and health literacy (HL).MethodsPredoctoral clinical patients were surveyed using a 28‐item, using Likert scale, multiple choice, open text, and binary yes/no items. Associations between unmet social needs (USNs) and gender, age, race/ethnicity, annual household income, zip code, and HL were evaluated. The data were descriptively and statistically analyzed (p‐values < 0.05).ResultsThere were 204 respondents, males (48%) and females (50%), with 2% non‐binary reporting 331 USN cumulatively and 76% reporting one or more USN. The greatest domains were employment (27.5%), finance (23.0%), food (27.5%), and transportation (18.6%), with significant associations for employment (p < 0.0001), finance (p < 0.0001), food (p < 0.0001), and transportation (p < 0.0001). A total of 80.79% of the respondents had adequate HL, and individuals with zero and one USN had higher mean HL score versus three USNs (p = 0.0014 and 0.041, respectively).ConclusionScreening for USNs in dental clinics is an excellent method to gather non‐medical information that can be used to improve health outcomes. Within the limits of this study dental clinic patients have unmet need across the SDOH domains, with the highest in finance, employment, transportation, and food insecurities.

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Screening for Social Determinants of Health: Active and Passive Information Retrieval Methods

Cited by 5 publications

References 26 publications

Screening tools to address social determinants of health in the United States: A systematic review

Screening tools to address social determinants of health in the United States: A systematic review

Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions

Finances and employment domains are strong determinants when screening for unmet social needs in a predoctoral dental clinic: A preliminary assessment

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