Screening for Social Determinants of Health Among Children: Patients' Preferences for Receiving Information to Meet Social Needs and a Comparison of Screening Instruments

Oldfield, Benjamin J.; Casey, Meghan C.; DeCew, Amanda; Morales, Sofia; Olson, Douglas P.

doi:10.1089/pop.2019.0211

Cited by 16 publications

(37 citation statements)

References 25 publications

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“…Although this study evaluated the psychometric properties of the AHC and YCLS, more information on the patient acceptability of these tools is needed. [ 22 49 ] Comparison to other tools such as PRAPARE is warranted. [ 38 ] Given the significant investment to undertake social risk screening, it is important to know if predictive analytics using administrative data can accurately identify those in need of additional screening, or if universal screening is needed.…”

Section: Discussionmentioning

confidence: 99%

“…Recent reviews concluded that although multiple low-cost, linguistically appropriate tools exist to screen for social risks,[ 17 ] there is a dearth of psychometric evidence for their appropriate use. [ 18 19 20 21 22 ] Without evidence of reliability and validity, it is unclear whether existing tools are adequately and accurately capturing patients’ social information. This lack of psychometric information makes it difficult to select screening tools.…”

Section: Introductionmentioning

confidence: 99%

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Comparing the performance of two social risk screening tools in a vulnerable subpopulation

Lewis

Wellman

Walsh‐Bailey

et al. 2020

J Family Med Prim Care

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Background: Research shows the profound impact of social factors on health, lead many healths systems to incorporate social risk screening. To help healthcare systems select among various screening tools we compared two tools, the Your Current Life Situation (YCLS) and the Accountable Health Communities (AHC) Screening tools, on key psychometric properties. Method: Kaiser Permanente Southern California subsidized exchange members ( n = 1008) were randomly invited to complete a survey containing either the YCLS or the AHC tool, as well as other measures related to care experience and health. Healthcare use was measured through the electronic health record. Agreement between the AHC and YCLS was assessed using adjusted kappas for six domains (food – worry, food – pay, insecure housing, housing quality, transportation, utilities). To assess predictive validity, items on the AHC and YCLS were compared to self-rated health and receipt of a flu shot. Results: Responders ( n = 450) and non-responders ( n = 558) significantly differed on sex, language, and depression ( P < 0.05) but not anxiety, race/ethnicity, or healthcare use. Agreement between the AHC and YCLS tools was substantial on all items (kappas > 0.60) except for housing quality (kappa 0.52). Four out of six screening questions on the AHC tool and four out of seven on the YCLS tool were associated with self-rated health ( P < 0.03). No social needs were associated with flu shot receipt except utilities on the AHC tool ( P = 0.028). Conclusion: In this sample, the AHC and YCLS tools are similar in their ability to screen for social risks. Differences observed likely stem from the timeframe and wording of the questions, which can be used to guide selection in healthcare systems.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparing the performance of two social risk screening tools in a vulnerable subpopulation

Lewis

Wellman

Walsh‐Bailey

et al. 2020

J Family Med Prim Care

View full text Add to dashboard Cite

show abstract

“…82 Six studies used research assistants to provide patients with paper screening tools. 29,30,32,65,68,71 Six articles did not report the workforce for self-administered screening. 34,42,54,56,59,81 In 10 of 37 models that used self-administered screening, the medical assistants, nurses, navigators, resource specialists, and research staff who provided patients with the screening form also reviewed the screen to provide assistance.…”

Section: Screening and Responding To Unmet Needsmentioning

confidence: 99%

“…34,42,54,56,59,81 In 10 of 37 models that used self-administered screening, the medical assistants, nurses, navigators, resource specialists, and research staff who provided patients with the screening form also reviewed the screen to provide assistance. 32,43,53,65,68,69,71,73,80,82 While these staff were the first to provide assistance to patients, many still referred patients to other staff for additional assistance. 43,53,65,68,69,80 In the remaining 27 articles, the workforce that distributed the screen to the patient differed from the workforce that reviewed the screen and responded to the patient's need(s).…”

Section: Screening and Responding To Unmet Needsmentioning

confidence: 99%

“…32,43,53,65,68,69,71,73,80,82 While these staff were the first to provide assistance to patients, many still referred patients to other staff for additional assistance. 43,53,65,68,69,80 In the remaining 27 articles, the workforce that distributed the screen to the patient differed from the workforce that reviewed the screen and responded to the patient's need(s). In 5 articles, a paid or volunteer social care worker was the first person to review a screen and provide assistance.…”

Section: Screening and Responding To Unmet Needsmentioning

confidence: 99%

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Workforce Models to Screen for and Address Patients’ Unmet Social Needs in the Clinic Setting: A Scoping Review

Sandhu

Eisenson

et al. 2021

J Prim Care Community Health

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Objectives While healthcare organizations increasingly aim to address the social determinants of health (SDOH) in the clinic setting, there is little guidance on which staff are best equipped to assume this role. The present study is a scoping review of the peer-reviewed literature to characterize workforce models used to screen for and respond to patients’ unmet social needs in ambulatory settings. Methods Four online databases were used to identify papers published until February 2021. Eligible articles were original research studies or systematic reviews that described the implementation of a standardized assessment for multiple SDOH domains and resulting activities to respond to individual patient needs (eg, referral to community resources) in ambulatory care settings. Results Of the 1569 articles identified, 65 met study eligibility criteria. Majority of studies had observational study designs (11% were randomized control trials). For screening-related activities, more articles reported using traditional healthcare staff (51%), such as medical providers, medical assistants, and front-desk staff, than social care staff (32%), such as social workers and student volunteers. In contrast, for response-related activities, more articles reported using social care staff (88%) than traditional healthcare staff (60%). While we found wide variations in specific team configurations and training for the roles, social care staff generally provided more intensive forms of assistance than traditional healthcare staff. Conclusion While this review demonstrates the breadth of models for building or deploying a workforce to integrate health and social care, it also identifies the need for rigorous research on workforce development, implementation, and effectiveness.

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Mobile Social Screening and Referral Intervention in a Pediatric Emergency Department

Kanak

Fleegler

Chang

et al. 2023

Academic Pediatrics

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Screening for Social Determinants of Health Among Children: Patients' Preferences for Receiving Information to Meet Social Needs and a Comparison of Screening Instruments

Cited by 16 publications

References 25 publications

Comparing the performance of two social risk screening tools in a vulnerable subpopulation

Comparing the performance of two social risk screening tools in a vulnerable subpopulation

Workforce Models to Screen for and Address Patients’ Unmet Social Needs in the Clinic Setting: A Scoping Review

Mobile Social Screening and Referral Intervention in a Pediatric Emergency Department

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