The DOI matches its Crossref record; 63 of the 65 references it cites were found in a registry or an index.
Developing electronic health record (EHR) strategies related to health center patients’ social determinants of health
Open accessAbstract
BACKGROUND: "Social determinants of heath" (SDHs) are nonclinical factors that profoundly affect health. Helping community health centers (CHCs) document patients' SDH data in electronic health records (EHRs) could yield substantial health benefits, but little has been reported about CHCs' development of EHR-based tools for SDH data collection and presentation. METHODS: We worked with 27 diverse CHC stakeholders to develop strategies for optimizing SDH data collection and presentation in their EHR, and approaches for integrating SDH data collection and the use of those data (eg, through referrals to community resources) into CHC workflows. RESULTS: We iteratively developed a set of EHR-based SDH data collection, summary, and referral tools for CHCs. We describe considerations that arose while developing the tools and present some preliminary lessons learned. CONCLUSION: Standardizing SDH data collection and presentation in EHRs could lead to improved patient and population health outcomes in CHCs and other care settings. We know of no previous reports of processes used to develop similar tools. This article provides an example of 1 such process. Lessons from our process may be useful to health care organizations interested in using EHRs to collect and act on SDH data. Research is needed to empirically test the generalizability of these lessons.
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“individual-level SDoH data collection remains evolving and not yet consistently available across large populations [95–98]”
From Machine learning-driven risk prediction for post-hospitalization diabetes case management: Integrating clinical and social determinants of health (2026) · cites this paper as [97]
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User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
Unequal treatment: confronting racial and ethnic disparities in health care.
Smedley, B. D., Stith, A. Y., & Nelson, A. (2003) · University Libraries (University of Maryland) · doi:10.13016/1bbm-d7bq · Cited by 6,567
Davis, F. D. (1993) · International Journal of Man-Machine Studies · doi:10.1006/imms.1993.1022 · Cited by 4,754
Yu, S. M. (1998) · Maternal and Child Health Journal · doi:10.1023/a:1021801927353 · Cited by 3,876
A Framework for Public Health Action: The Health Impact Pyramid
Frieden, T. R. (2010) · American Journal of Public Health · doi:10.2105/ajph.2009.185652 · Cited by 1,535
(2003) · doi:10.1093/acprof:oso/9780195138382.001.0001 · Cited by 1,149
Association of socioeconomic position with health behaviors and mortality
Stringhini, S. (2010) · JAMA · doi:10.1001/jama.2010.297 · Cited by 1,065
Addressing Social Determinants of Health at Well Child Care Visits: A Cluster RCT
Garg, A., Toy, S., Tripodis, Y., Silverstein, M., & Freeman, E. (2015) · Pediatrics · doi:10.1542/peds.2014-2888 · Cited by 643 · cited 1×
“43,71,72 Little such guidance currently exists; we know of no previously published reports on processes used to develop EHR-based SDH data collection, summary, and referral tools.”
Background(1998) · PubMed · Cited by 585
Research works printed but not linked: 3
- [64]Garg A Toy S Tripodis Y Silverstein M Freeman E Addressing Social Determinants of Health at Well Child Care Visits: A Cluster RCT Pediatrics 2015 135 e296 e304 25560448 PMC4306802
- [68]Bardwell J Sherin K Sinacore J Zitter R Shakil A Journal of Advocate Health Care 1999 1 5 7
- [73]Caiazza T STATEMENT: New HHS Rules Require Sexual Orientation and Gender Identity Data Collection in Electronic Health Records Program 10 7 2015 10-20-2016 https://www.americanprogress.org/press/statement/2015/10/07/122884/statement-new-hhs-rules-require-sexual-orientation-and-gender-identity-data-collection-in-electronic-health-records-program/
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Alegria, M. M., NeMoyer, A., Falgas‐Bagué, I., Wang, Y., & Álvarez, K. (2018) · Current Psychiatry Reports · doi:10.1007/s11920-018-0969-9 · Cited by 1,006
Blockchain Technology for Healthcare: Facilitating the Transition to Patient-Driven Interoperability
Gordon, W. J., & Catalini, C. (2018) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2018.06.003 · Cited by 828
Alcaraz, K. I., Wiedt, T. L., Daniels, E. C., Yabroff, K. R., Guerra, C. E., & Wender, R. C. (2020) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21586 · Cited by 530
de la Vega, P. B., Losi, S., Martinez, L. S. S., Bovell-Ammon, A., Garg, A., James, T. L., Ewen, A. M., Stack, M., DeCarvalho, H., Sandel, M. T., et al. (2019) · Medical Care · doi:10.1097/mlr.0000000000001029 · Cited by 327
Integrating Data On Social Determinants Of Health Into Electronic Health Records
Cantor, M. N., & Thorpe, L. (2018) · Health Affairs · doi:10.1377/hlthaff.2017.1252 · Cited by 308
Metadata
- Authors
- Gold, R., Cottrell, E., Bunce, A., Middendorf, M., Hollombe, C., Cowburn, S., Mahr, P., & Melgar, G.
- Affiliations
- Kaiser Permanente (US)
- Venue
- The Journal of the American Board of Family Medicine
- Published
- 2017-07
- Volume
- 30
- Issue
- 4
- Pages
- 428-447
- ISSN
- 1557-2625 (ISSN-L)
- 1558-7118
- PMC
- PMC5618800
- OpenAlex
- W2737948908
- Cited by
- 215
- References
- 65
- Citations by year
- 2026: 15 · 2025: 28 · 2024: 15 · 2023: 35 · 2022: 24 · 2021: 30 · 2020: 22 · 2019: 21 · 2018: 21 · 2017: 3
- FWCI
- 25.15
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Journal of the American Board of Family Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Kaiser Permanente
- National Institute of Diabetes and Digestive and Kidney Diseases (R18DK105463)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Nursing › Research and Theory › Nursing Diagnosis and Documentation
- Keywords
- social determinants of health, electronic health records, community health centers, workflow integration, health information standardization, community resources
- MeSH terms
- Community Health Centers, Humans, Referral and Consultation, Electronic Health Records, Social Determinants of Health
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