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      Evaluation of a social determinants of health screening questionnaire and workflow pilot within an adult ambulatory clinic

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          Abstract

          Background

          There is increased recognition in clinical settings of the importance of documenting, understanding, and addressing patients’ social determinants of health (SDOH) to improve health and address health inequities. This study evaluated a pilot of a standardized SDOH screening questionnaire and workflow in an ambulatory clinic within a large integrated health network in Northern California.

          Methods

          The pilot screened for SDOH needs using an 11-question Epic-compatible paper questionnaire assessing eight SDOH and health behavior domains: financial resource, transportation, stress, depression, intimate partner violence, social connections, physical activity, and alcohol consumption. Eligible patients for the pilot receiving a Medicare wellness, adult annual, or new patient visits during a five-week period (February-March, 2020), and a comparison group from the same time period in 2019 were identified. Sociodemographic data (age, sex, race/ethnicity, and payment type), visit type, length of visit, and responses to SDOH questions were extracted from electronic health records, and a staff experience survey was administered. The evaluation was guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework.

          Results

          Two-hundred eighty-nine patients were eligible for SDOH screening. Responsiveness by domain ranged from 55 to 67%, except for depression. Half of patients had at least one identified social need, the most common being stress (33%), physical activity (22%), alcohol (12%), and social connections (6%). Physical activity needs were identified more in females (81% vs. 19% in males, p < .01) and at new patient/transfer visits (48% vs. 13% at Medicare wellness and 38% at adult wellness visits, p < .05). Average length of visit was 39.8 min, which was 1.7 min longer than that in 2019. Visit lengths were longer among patients 65+ (43.4 min) and patients having public insurance (43.6 min). Most staff agreed that collecting SDOH data was relevant and accepted the SDOH questionnaire and workflow but highlighted opportunities for improvement in training and connecting patients to resources.

          Conclusion

          Use of evidence-based SDOH screening questions and associated workflow was effective in gathering patient SDOH information and identifying social needs in an ambulatory setting. Future studies should use qualitative data to understand patient and staff experiences with collecting SDOH information in healthcare settings.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12875-021-01598-3.

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          Most cited references45

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            The REDCap consortium: Building an international community of software platform partners

            The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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              RE-AIM Planning and Evaluation Framework: Adapting to New Science and Practice With a 20-Year Review

              The RE-AIM planning and evaluation framework was conceptualized two decades ago. As one of the most frequently applied implementation frameworks, RE-AIM has now been cited in over 2,800 publications. This paper describes the application and evolution of RE-AIM as well as lessons learned from its use. RE-AIM has been applied most often in public health and health behavior change research, but increasingly in more diverse content areas and within clinical, community, and corporate settings. We discuss challenges of using RE-AIM while encouraging a more pragmatic use of key dimensions rather than comprehensive applications of all elements. Current foci of RE-AIM include increasing the emphasis on cost and adaptations to programs and expanding the use of qualitative methods to understand “how” and “why” results came about. The framework will continue to evolve to focus on contextual and explanatory factors related to RE-AIM outcomes, package RE-AIM for use by non-researchers, and integrate RE-AIM with other pragmatic and reporting frameworks.
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                Author and article information

                Contributors
                azark@sutterhealth.org
                Journal
                BMC Fam Pract
                BMC Fam Pract
                BMC Family Practice
                BioMed Central (London )
                1471-2296
                24 December 2021
                24 December 2021
                2021
                : 22
                : 256
                Affiliations
                [1 ]GRID grid.186587.5, ISNI 0000 0001 0722 3678, Department of Public Health and Recreation, College of Health and Human Sciences, , San José State University, ; One Washington Square, San José, CA 95192 USA
                [2 ]Sutter Health Institute for Advancing Health Equity, 2121 N. California Blvd, Walnut Creek, CA 94596 USA
                [3 ]GRID grid.253553.7, ISNI 0000 0000 9639 8885, Department of Nursing, School of Natural Sciences, Mathematics, and Engineering, , California State University, Bakersfield, ; 9001 Stockdale Highway, Bakersfield, CA 93311 USA
                [4 ]Sutter Health Center for Health Systems Research, 2121 N. California Blvd, Walnut Creek, CA 94596 USA
                [5 ]GRID grid.416713.6, ISNI 0000 0004 0451 0163, Alta Bates Summit Medical Center, Sutter Health, ; 350 Hawthorne Ave., Oakland, CA 94609 USA
                [6 ]Berkeley Emergency Medical Group, 2450 Ashby Ave., Berkeley, CA 94705 USA
                [7 ]Sutter Health Population Health Services, 2121 N. California Blvd, Walnut Creek, CA 94596 USA
                [8 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Health Care Policy, , Harvard Medical School, ; 180 Longwood Avenue, Boston, MA 02115 USA
                [9 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Department of Epidemiology and Biostatistics, , University of California San Francisco, ; 550 16th St., Second Floor, San Francisco, CA 94158 USA
                Author information
                http://orcid.org/0000-0001-7643-7717
                Article
                1598
                10.1186/s12875-021-01598-3
                8708511
                33388038
                0e6d644b-a465-4f58-9748-c429c6b98c35
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 3 May 2021
                : 29 November 2021
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Medicine
                social determinants of health screening,ambulatory setting,evaluation,re-aim,implementation science,intervention

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