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Mwogosi A, Shao D, Kibusi S, Kapologwe N. Revolutionizing decision support: a systematic literature review of contextual implementation models for electronic health records systems. J Health Organ Manag 2024; ahead-of-print. [PMID: 38704617 DOI: 10.1108/jhom-04-2023-0122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2024]
Abstract
PURPOSE This study aims to assess previously developed Electronic Health Records System (EHRS) implementation models and identify successful models for decision support. DESIGN/METHODOLOGY/APPROACH A systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The data sources used were Scopus, PubMed and Google Scholar. The review identified peer-reviewed papers published in the English Language from January 2010 to April 2023, targeting well-defined implementation of EHRS with decision-support capabilities in healthcare. To comprehensively address the research question, we ensured that all potential sources of evidence were considered, and quantitative and qualitative studies reporting primary data and systematic review studies that directly addressed the research question were included in the review. By including these studies in our analysis, we aimed to provide a more thorough and reliable evaluation of the available evidence. FINDINGS The findings suggest that the success of EHRS implementation is determined by organizational and human factors rather than technical factors alone. Successful implementation is dependent on a suitable implementation framework and management of EHRS. The review identified the capabilities of Clinical Decision Support (CDS) tools as essential in the effectiveness of EHRS in supporting decision-making. ORIGINALITY/VALUE This study contributes to the existing literature on EHRS implementation models and identifies successful models for decision support. The findings can inform future implementations and guide decision-making in healthcare facilities.
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Affiliation(s)
- Augustino Mwogosi
- Department of Information Systems and Technology, College of Informatics and Virtual Education, The University of Dodoma, Dodoma City, United Republic of Tanzania
| | - Deo Shao
- Department of Information Systems and Technology, College of Informatics and Virtual Education, The University of Dodoma, Dodoma City, United Republic of Tanzania
| | - Stephen Kibusi
- Department of Public Health, The University of Dodoma, Dodoma City, United Republic of Tanzania
| | - Ntuli Kapologwe
- United Republic of Tanzania President's Office, Dar es Salaam, United Republic of Tanzania
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Li C, Mowery DL, Ma X, Yang R, Vurgun U, Hwang S, Donnelly HK, Bandhey H, Akhtar Z, Senathirajah Y, Sadhu EM, Getzen E, Freda PJ, Long Q, Becich MJ. Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.04.24302242. [PMID: 38370703 PMCID: PMC10871446 DOI: 10.1101/2024.02.04.24302242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
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 identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical to fulfill 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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Affiliation(s)
- Chenyu Li
- University of Pittsburgh School of Medicine Department of Biomedical Informatics
| | - Danielle L. Mowery
- University of Pennsylvania, Institute for Biomedical Informatics
- University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics
| | - Xiaomeng Ma
- University of Toronto, Institute of Health Policy Management and Evaluations
| | - Rui Yang
- Duke-NUS Medical School, Centre for Quantitative Medicine
| | - Ugurcan Vurgun
- University of Pennsylvania, Institute for Biomedical Informatics
| | - Sy Hwang
- University of Pennsylvania, Institute for Biomedical Informatics
| | | | - Harsh Bandhey
- Cedars-Sinai Medical Center, Department of Computational Biomedicine
| | - Zohaib Akhtar
- Northwestern University, Kellogg School of Management
| | - Yalini Senathirajah
- University of Pittsburgh School of Medicine Department of Biomedical Informatics
| | - Eugene Mathew Sadhu
- University of Pittsburgh School of Medicine Department of Biomedical Informatics
| | - Emily Getzen
- University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics
| | - Philip J Freda
- Cedars-Sinai Medical Center, Department of Computational Biomedicine
| | - Qi Long
- University of Pennsylvania, Institute for Biomedical Informatics
- University of Pennsylvania, Department of Biostatistics, Epidemiology and Informatics
| | - Michael J. Becich
- University of Pittsburgh School of Medicine Department of Biomedical Informatics
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Drewry MB, Yanguela J, Khanna A, O'Brien S, Phillips E, Bevel MS, McKinley MW, Corbie G, Dave G. A Systematic Review of Electronic Community Resource Referral Systems. Am J Prev Med 2023; 65:1142-1152. [PMID: 37286015 PMCID: PMC10696135 DOI: 10.1016/j.amepre.2023.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 06/01/2023] [Accepted: 06/02/2023] [Indexed: 06/09/2023]
Abstract
INTRODUCTION Community Resource Referral Systems delivered electronically through healthcare information technology systems (e.g., electronic medical records) have become more common in efforts to address patients' unmet health-related social needs. Community Resource Referral System connects patients with social supports such as food assistance, utility support, transportation, and housing. This systematic review identifies barriers and facilitators that influence the Community Resource Referral System's implementation in the U.S. by identifying and synthesizing peer-reviewed literature over a 15-year period. METHODS This systematic review was conducted following PRISMA guidelines. A search was conducted on five scientific databases to capture the literature published between January 2005 and December 2020. Data analysis was conducted from August 2021 to July 2022. RESULTS This review includes 41 articles of the 2,473 initial search results. Included literature revealed that Community Resource Referral Systems functioned to address a variety of health-related social needs and were delivered in different ways. Integrating the Community Resource Referral Systems into clinic workflows, maintenance of community-based organization inventories, and strong partnerships between clinics and community-based organizations facilitated implementation. The sensitivity of health-related social needs, technical challenges, and associated costs presented as barriers. Overall, electronic medical records-integration and automation of the referral process was reported as advantageous for the stakeholders. DISCUSSION This review provides information and guidance for healthcare administrators, clinicians, and researchers designing or implementing electronic Community Resource Referral Systems in the U.S. Future studies would benefit from stronger implementation science methodological approaches. Sustainable funding mechanisms for community-based organizations, clear stipulations regarding how healthcare funds can be spent on health-related social needs, and innovative governance structures that facilitate collaboration between clinics and community-based organizations are needed to promote the growth and sustainability of Community Resource Referral Systems in the U.S.
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Affiliation(s)
- Maura B Drewry
- The University of North Carolina at Chapel Hill, Center for Health Equity Research, Chapel Hill, North Carolina.
| | - Juan Yanguela
- The University of North Carolina at Chapel Hill, Center for Health Equity Research, Chapel Hill, North Carolina
| | - Anisha Khanna
- The University of North Carolina at Chapel Hill, Center for Health Equity Research, Chapel Hill, North Carolina
| | - Sara O'Brien
- The University of North Carolina at Chapel Hill, Center for Health Equity Research, Chapel Hill, North Carolina
| | - Ethan Phillips
- The University of North Carolina at Chapel Hill, Center for Health Equity Research, Chapel Hill, North Carolina
| | - Malcolm S Bevel
- The University of North Carolina at Chapel Hill, Center for Health Equity Research, Chapel Hill, North Carolina; Augusta University, Department of Medicine, Augusta, Georgia
| | - Mary W McKinley
- The University of North Carolina at Chapel Hill, Center for Health Equity Research, Chapel Hill, North Carolina
| | - Giselle Corbie
- The University of North Carolina at Chapel Hill, Center for Health Equity Research, Chapel Hill, North Carolina
| | - Gaurav Dave
- The University of North Carolina at Chapel Hill, Center for Health Equity Research, Chapel Hill, North Carolina
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Bunce AE, Morrissey S, Kaufmann J, Krancari M, Bowen M, Gold R. Finding meaning: a realist-informed perspective on social risk screening and relationships as mechanisms of change. FRONTIERS IN HEALTH SERVICES 2023; 3:1282292. [PMID: 37936880 PMCID: PMC10626542 DOI: 10.3389/frhs.2023.1282292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/09/2023] [Indexed: 11/09/2023]
Abstract
Background Social risk screening rates in many US primary care settings remain low. This realist-informed evaluation explored the mechanisms through which a tailored coaching and technical training intervention impacted social risk screening uptake in 26 community clinics across the United States. Methods Evaluation data sources included the documented content of interactions between the clinics and implementation support team and electronic health record (EHR) data. Following the realist approach, analysis was composed of iterative cycles of developing, testing and refining program theories about how the intervention did-or didn't-work, for whom, under what circumstances. Normalization Process Theory was applied to the realist program theories to enhance the explanatory power and transferability of the results. Results Analysis identified three overarching realist program theories. First, clinic staff perceptions about the role of standardized social risk screening in person-centered care-considered "good" care and highly valued-strongly impacted receptivity to the intervention. Second, the physicality of the intervention materials facilitated collaboration and impacted clinic leaders' perception of the legitimacy of the social risk screening implementation work. Third, positive relationships between the implementation support team members, between the support team and clinic champions, and between clinic champions and staff motivated and inspired clinic staff to engage with the intervention and to tailor workflows to their settings' needs. Study clinics did not always exhibit the social risk screening patterns anticipated by the program theories due to discrepant definitions of success between clinic staff (improved ability to provide contextualized, person-centered care) and the trial (increased rates of EHR-documented social risk screening). Aligning the realist program theories with Normalization Process Theory constructs clarified that the intervention as implemented emphasized preparation over operationalization and appraisal, providing insight into why the intervention did not successfully embed sustained systematic social risk screening in participating clinics. Conclusion The realist program theories highlighted the effectiveness and importance of intervention components and implementation strategies that support trusting relationships as mechanisms of change. This may be particularly important in social determinants of health work, which requires commitment and humility from health care providers and vulnerability on the part of patients.
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Affiliation(s)
- Arwen E. Bunce
- Research Department, OCHIN Inc., Portland, OR, United States
| | | | - Jorge Kaufmann
- Oregon Health & Science University, Portland, OR, United States
| | - Molly Krancari
- Research Department, OCHIN Inc., Portland, OR, United States
| | - Megan Bowen
- Research Department, OCHIN Inc., Portland, OR, United States
| | - Rachel Gold
- Research Department, OCHIN Inc., Portland, OR, United States
- Kaiser Center for Health Research, Portland, OR, United States
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Nguyen CJ, Gold R, Mohammed A, Krancari M, Hoopes M, Morrissey S, Buchwald D, Muller CJ. Food Insecurity Screening in Primary Care: Patterns During the COVID-19 Pandemic by Encounter Modality. Am J Prev Med 2023; 65:467-475. [PMID: 36963473 PMCID: PMC10033146 DOI: 10.1016/j.amepre.2023.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/16/2023] [Accepted: 03/17/2023] [Indexed: 03/24/2023]
Abstract
INTRODUCTION Screening for food insecurity in clinical settings is recommended, but implementation varies widely. This study evaluated the prevalence of screening for food insecurity and other social risks in telehealth versus in-person encounters during the COVID-19 pandemic and changes in screening before versus after widespread COVID-19 vaccine availability. METHODS These cross-sectional analyses used electronic health record and ancillary clinic data from a national network of 400+ community health centers with a shared electronic health record. Food insecurity screening was characterized in 2022 in a sample of 275,465 first encounters for routine primary care at any network clinic during March 11, 2020-December 31, 2021. An adjusted multivariate multilevel probit model estimated screening prevalence on the basis of encounter mode (in-person versus telehealth) and time period (initial pandemic versus after vaccine availability) in a random subsample of 11,000 encounters. RESULTS Encounter mode was related to food insecurity screening (p<0.0001), with an estimated 9.2% screening rate during in-person encounters, compared with 5.1% at telehealth encounters. There was an interaction between time period and encounter mode (p<0.0001), with higher screening prevalence at in-person versus telehealth encounters after COVID-19 vaccines were available (11.7% vs 4.9%) than before vaccines were available (7.8% vs 5.2%). CONCLUSIONS Food insecurity screening in first primary care encounters is low overall, with lower rates during telehealth visits and the earlier phase of the COVID-19 pandemic. Future research should explore the methods for enhancing social risk screening in telehealth encounters.
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Affiliation(s)
- Cassandra J Nguyen
- Department of Nutrition, University of California, Davis, Davis, California.
| | - Rachel Gold
- OCHIN Inc., Portland, Oregon; Kaiser Permanente Northwest Center for Health Research, Portland, Oregon
| | - Alaa Mohammed
- Institute for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle, Washington
| | | | | | | | - Dedra Buchwald
- Institute for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle, Washington; Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington
| | - Clemma J Muller
- Institute for Research and Education to Advance Community Health, Elson S. Floyd College of Medicine, Washington State University, Seattle, Washington; Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington
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Torres CIH, Gold R, Kaufmann J, Marino M, Hoopes MJ, Totman MS, Aceves B, Gottlieb LM. Social Risk Screening and Response Equity: Assessment by Race, Ethnicity, and Language in Community Health Centers. Am J Prev Med 2023; 65:286-295. [PMID: 36990938 PMCID: PMC10652909 DOI: 10.1016/j.amepre.2023.02.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 02/14/2023] [Accepted: 02/14/2023] [Indexed: 03/31/2023]
Abstract
INTRODUCTION Little has previously been reported about the implementation of social risk screening across racial/ethnic/language groups. To address this knowledge gap, the associations between race/ethnicity/language, social risk screening, and patient-reported social risks were examined among adult patients at community health centers. METHODS Patient- and encounter-level data from 2016 to 2020 from 651 community health centers in 21 U.S. states were used; data were extracted from a shared Epic electronic health record and analyzed between December 2020 and February 2022. In adjusted logistic regression analyses stratified by language, robust sandwich variance SE estimators were applied with clustering on patient's primary care facility. RESULTS Social risk screening occurred at 30% of health centers; 11% of eligible adult patients were screened. Screening and reported needs varied significantly by race/ethnicity/language. Black Hispanic and Black non-Hispanic patients were approximately twice as likely to be screened, and Hispanic White patients were 28% less likely to be screened than non-Hispanic White patients. Hispanic Black patients were 87% less likely to report social risks than non-Hispanic White patients. Among patients who preferred a language other than English or Spanish, Black Hispanic patients were 90% less likely to report social needs than non-Hispanic White patients. CONCLUSIONS Social risk screening documentation and patient reports of social risks differed by race/ethnicity/language in community health centers. Although social care initiatives are intended to promote health equity, inequitable screening practices could inadvertently undermine this goal. Future implementation research should explore strategies for equitable screening and related interventions.
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Affiliation(s)
| | - Rachel Gold
- Center for Health Research, Kaiser Permanente and OCHIN, Inc., Portland, Oregon
| | | | - Miguel Marino
- Department of Family Medicine, OHSU, Portland, Oregon
| | | | - Molly S Totman
- Quality, Community Care Cooperative, Boston, Massachusetts
| | - Benjamín Aceves
- Social Interventions Research and Evaluation Network, Department of Family and Community Medicine, University of California, San Francisco, San Francisco, California
| | - Laura M Gottlieb
- Social Interventions Research and Evaluation Network, Department of Family and Community Medicine, University of California, San Francisco, San Francisco, California
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LeLaurin JH, De La Cruz J, Theis RP, Thompson LA, Lee JH, Shenkman EA, Salloum RG. Pediatric primary care provider and staff perspectives on the implementation of electronic health record-based social needs interventions: A mixed-methods study. J Clin Transl Sci 2023; 7:e160. [PMID: 37528941 PMCID: PMC10388413 DOI: 10.1017/cts.2023.585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 06/12/2023] [Accepted: 06/27/2023] [Indexed: 08/03/2023] Open
Abstract
Introduction Interventions to address social needs in clinical settings can improve child and family health outcomes. Electronic health record (EHR) tools are available to support these interventions but are infrequently used. This mixed-methods study sought to identify approaches for implementing social needs interventions using an existing EHR module in pediatric primary care. Methods We conducted focus groups and interviews with providers and staff (n = 30) and workflow assessments (n = 48) at four pediatric clinics. Providers and staff completed measures assessing the acceptability, appropriateness, and feasibility of social needs interventions. The Consolidated Framework for Implementation Research guided the study. A hybrid deductive-inductive approach was used to analyze qualitative data. Results Median scores (range 1-5) for acceptability (4.9) and appropriateness (5.0) were higher than feasibility (3.9). Perceived barriers to implementation related to duplicative processes, parent disclosure, and staffing limitations. Facilitators included the relative advantage of the EHR module compared to existing documentation practices, importance of addressing social needs, and compatibility with clinic culture and workflow. Self-administered screening was seen as inappropriate for sensitive topics. Strategies identified included providing resource lists, integrating social needs assessments with existing screening questionnaires, and reducing duplicative documentation. Conclusions This study offers insight into the implementation of EHR-based social needs interventions and identifies strategies to promote intervention uptake. Findings highlight the need to design interventions that are feasible to implement in real-world settings. Future work should focus on integrating multiple stakeholder perspectives to inform the development of EHR tools and clinical workflows to support social needs interventions.
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Affiliation(s)
- Jennifer H. LeLaurin
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Jacqueline De La Cruz
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Ryan P. Theis
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Lindsay A. Thompson
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ji-Hyun Lee
- Division of Quantitative Sciences, University of Florida Health Cancer Center, University of Florida, Gainesville, FL, USA
- Department of Biostatistics, University of Florida, Gainesville, FL, USA
| | - Elizabeth A. Shenkman
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Ramzi G. Salloum
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA
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Piazza KM, Ashcraft LE, Rose L, Hall DE, Brown RT, Bowen MEL, Mavandadi S, Brecher AC, Keddem S, Kiosian B, Long JA, Werner RM, Burke RE. Study protocol: Type III hybrid effectiveness-implementation study implementing Age-Friendly evidence-based practices in the VA to improve outcomes in older adults. Implement Sci Commun 2023; 4:57. [PMID: 37231459 PMCID: PMC10209584 DOI: 10.1186/s43058-023-00431-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/23/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Unmet care needs among older adults accelerate cognitive and functional decline and increase medical harms, leading to poorer quality of life, more frequent hospitalizations, and premature nursing home admission. The Department of Veterans Affairs (VA) is invested in becoming an "Age-Friendly Health System" to better address four tenets associated with reduced harm and improved outcomes among the 4 million Veterans aged 65 and over receiving VA care. These four tenets focus on "4Ms" that are fundamental to the care of older adults, including (1) what Matters (ensuring that care is consistent with each person's goals and preferences); (2) Medications (only using necessary medications and ensuring that they do not interfere with what matters, mobility, or mentation); (3) Mentation (preventing, identifying, treating, and managing dementia, depression, and delirium); and (4) Mobility (promoting safe movement to maintain function and independence). The Safer Aging through Geriatrics-Informed Evidence-Based Practices (SAGE) Quality Enhancement Research Initiative (QUERI) seeks to implement four evidence-based practices (EBPs) that have shown efficacy in addressing these core tenets of an "Age-Friendly Health System," leading to reduced harm and improved outcomes in older adults. METHODS We will implement four EBPs in 9 VA medical centers and associated outpatient clinics using a type III hybrid effectiveness-implementation stepped-wedge trial design. We selected four EBPs that align with Age-Friendly Health System principles: Surgical Pause, EMPOWER (Eliminating Medications Through Patient Ownership of End Results), TAP (Tailored Activities Program), and CAPABLE (Community Aging in Place - Advancing Better Living for Elders). Guided by the Pragmatic Robust Implementation and Sustainability Model (PRISM), we are comparing implementation as usual vs. active facilitation. Reach is our primary implementation outcome, while "facility-free days" is our primary effectiveness outcome across evidence-based practice interventions. DISCUSSION To our knowledge, this is the first large-scale randomized effort to implement "Age-Friendly" aligned evidence-based practices. Understanding the barriers and facilitators to implementing these evidence-based practices is essential to successfully help shift current healthcare systems to become Age-Friendly. Effective implementation of this project will improve the care and outcomes of older Veterans and help them age safely within their communities. TRIAL REGISTRATION Registered 05 May 2021, at ISRCTN #60,657,985. REPORTING GUIDELINES Standards for Reporting Implementation Studies (see attached).
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Affiliation(s)
- Kirstin Manges Piazza
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA.
| | - Laura Ellen Ashcraft
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Liam Rose
- Stanford-Surgery Policy Improvement Research & Education Center, Stanford University, Stanford, CA, USA
- Health Economics Resource Center, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Daniel E Hall
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, USA
- Wolff Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Rebecca T Brown
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Geriatrics and Extended Care Program, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Mary Elizabeth Libbey Bowen
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Education, and Clinical Center, VISN4 Mental Illness Research, Corporal Michael JCrescenz VA Medical Center, Philadelphia, PA, USA
| | - Shahrzad Mavandadi
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- School of Nursing, University of Delaware, Newark, DE, USA
| | | | - Shimrit Keddem
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Family Medicine & Community Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Bruce Kiosian
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Geriatrics and Extended Care Program, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Judith A Long
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Rachel M Werner
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert E Burke
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
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Gold R, Kaufmann J, Cottrell EK, Bunce A, Sheppler CR, Hoopes M, Krancari M, Gottlieb LM, Bowen M, Bava J, Mossman N, Yosuf N, Marino M. Implementation Support for a Social Risk Screening and Referral Process in Community Health Centers. NEJM CATALYST INNOVATIONS IN CARE DELIVERY 2023; 4:10.1056/CAT.23.0034. [PMID: 37153938 PMCID: PMC10161727 DOI: 10.1056/cat.23.0034] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Evidence is needed about how to effectively support health care providers in implementing screening for social risks (adverse social determinants of health) and providing related referrals meant to address identified social risks. This need is greatest in underresourced care settings. The authors tested whether an implementation support intervention (6 months of technical assistance and coaching study clinics through a five-step implementation process) improved adoption of social risk activities in community health centers (CHCs). Thirty-one CHC clinics were block-randomized to six wedges that occurred sequentially. Over the 45-month study period from March 2018 to December 2021, data were collected for 6 or more months preintervention, the 6-month intervention period, and 6 or more months postintervention. The authors calculated clinic-level monthly rates of social risk screening results that were entered at in-person encounters and rates of social risk-related referrals. Secondary analyses measured impacts on diabetes-related outcomes. Intervention impact was assessed by comparing clinic performance based on whether they had versus had not yet received the intervention in the preintervention period compared with the intervention and postintervention periods. In assessing the results, the authors note that five clinics withdrew from the study for various bandwidth-related reasons. Of the remaining 26, a total of 19 fully or partially completed all 5 implementation steps, and 7 fully or partially completed at least the first 3 steps. Social risk screening was 2.45 times (95% confidence interval [CI], 1.32-4.39) higher during the intervention period compared with the preintervention period; this impact was not sustained postintervention (rate ratio, 2.16; 95% CI, 0.64-7.27). No significant difference was seen in social risk referral rates during the intervention or postintervention periods. The intervention was associated with greater blood pressure control among patients with diabetes and lower rates of diabetes biomarker screening postintervention. All results must be interpreted considering that the Covid-19 pandemic began midway through the trial, which affected care delivery generally and patients at CHCs particularly. Finally, the study results show that adaptive implementation support was effective at temporarily increasing social risk screening. It is possible that the intervention did not adequately address barriers to sustained implementation or that 6 months was not long enough to cement this change. Underresourced clinics may struggle to participate in support activities over longer periods without adequate resources, even if lengthier support is needed. As policies start requiring documentation of social risk activities, safety-net clinics may be unable to meet these requirements without adequate financial and coaching/technical support.
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Affiliation(s)
- Rachel Gold
- Lead Research Scientist, OCHIN, Portland, Oregon, USA
- Senior Investigator, Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Jorge Kaufmann
- Biostatistician, Department of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Erika K Cottrell
- Senior Investigator, OCHIN, Portland, Oregon, USA
- Research Associate Professor, Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Arwen Bunce
- Qualitative Research Scientist, OCHIN, Portland, Oregon, USA
| | - Christina R Sheppler
- Research Associate III, Kaiser Permanente Center for Health Research, Portland, Oregon, USA
| | - Megan Hoopes
- Manager of Research Analytics, OCHIN, Portland, Oregon, USA
| | | | - Laura M Gottlieb
- Professor of Family and Community Medicine, School of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Meg Bowen
- Practice Coach, OCHIN, Portland, Oregon, USA
| | | | - Ned Mossman
- Director of Social and Community Health, OCHIN, Portland, Oregon, USA
| | - Nadia Yosuf
- Project Manager III, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Miguel Marino
- Assistant Professor, Department of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA
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10
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Delivering Food Resources and Kitchen Skills (FoRKS) to Adults with Food Insecurity and Hypertension: A Pilot Study. Nutrients 2023; 15:nu15061452. [PMID: 36986184 PMCID: PMC10051267 DOI: 10.3390/nu15061452] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/10/2023] [Accepted: 03/14/2023] [Indexed: 03/19/2023] Open
Abstract
Food insecurity affects nearly 50 million Americans and is linked to cardiovascular disease risk factors and health disparities. The purpose of this single-arm pilot study was to determine the feasibility of a 16-week dietitian-led lifestyle intervention to concurrently address food access, nutrition literacy, cooking skills, and hypertension among safety-net primary care adult patients. The Food Resources and Kitchen Skills (FoRKS) intervention provided nutrition education and support for hypertension self-management, group kitchen skills and cooking classes from a health center teaching kitchen, medically tailored home-delivered meals and meal kits, and a kitchen toolkit. Feasibility and process measures included class attendance rates and satisfaction and social support and self-efficacy toward healthy food behaviors. Outcome measures included food security, blood pressure, diet quality, and weight. Participants (n = 13) were on average {mean (SD)} aged 58.9 ± 4.5 years, 10 were female, and 12 were Black or African American. Attendance averaged 19 of 22 (87.1%) classes and satisfaction was rated as high. Food self-efficacy and food security improved, and blood pressure and weight declined. FoRKS is a promising intervention that warrants further evaluation for its potential to reduce cardiovascular disease risk factors among adults with food insecurity and hypertension.
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11
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Howell CR, Bradley H, Zhang L, Cleveland JD, Long D, Horton T, Krantz O, Mugavero MJ, Williams WL, Amerson A, Cherrington AL. Real-world integration of the protocol for responding to and assessing patients' assets, risks, and experiences tool to assess social determinants of health in the electronic medical record at an academic medical center. Digit Health 2023; 9:20552076231176652. [PMID: 37252259 PMCID: PMC10214080 DOI: 10.1177/20552076231176652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 05/02/2023] [Indexed: 05/31/2023] Open
Abstract
Objective To describe the real-world deployment of a tool, the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE), to assess social determinants of health (SDoH) in an electronic medical record (EMR). Methods We employed the collection of the PRAPARE tool in the EMR of a large academic health system in the ambulatory clinic and emergency department setting. After integration, we evaluated SDoH prevalence, levels of missingness, and data anomalies to inform ongoing collection. We summarized responses using descriptive statistics and hand-reviewed data text fields and patterns in the data. Data on patients who were administered with the PRAPARE from February to December 2020 were extracted from the EMR. Patients missing ≥ 12 PRAPARE questions were excluded. Social risks were screened using the PRAPARE. Information on demographics, admittance status, and health coverage were extracted from the EMR. Results Assessments with N = 6531 were completed (mean age 54 years, female (58.6%), 43.8% Black). Missingness ranged from 0.4% (race) to 20.8% (income). Approximately 6% of patients were homeless; 8% reported housing insecurity; 1.4% reported food needs; 14.6% had healthcare needs; 8.4% needed utility assistance; and 5% lacked transportation related to medical care. Emergency department patients reported significantly higher proportions of suboptimal SDoH. Conclusions Integrating the PRAPARE assessment in the EMR provides valuable information on SDoH amenable to intervention, and strategies are needed to increase accurate data collection and to improve the use of data in the clinical encounter.
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Affiliation(s)
- Carrie R Howell
- Department of Medicine, Division of
Preventive Medicine, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Heather Bradley
- Care Transitions, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Li Zhang
- Department of Biostatistics, School of
Public Health, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - John D Cleveland
- Department of Biostatistics, School of
Public Health, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Dustin Long
- Department of Biostatistics, School of
Public Health, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Trudi Horton
- Department of Medicine, Division of
Preventive Medicine, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Olivia Krantz
- Department of Medicine, Division of
Preventive Medicine, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Michael J Mugavero
- Department of Medicine, Division of
Infectious Diseases, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Winter L Williams
- Department of Medicine, Division of
General Internal Medicine, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Alesha Amerson
- Department of Medicine, Division of
Preventive Medicine, University of Alabama at
Birmingham, Birmingham, AL, USA
| | - Andrea L Cherrington
- Department of Medicine, Division of
Preventive Medicine, University of Alabama at
Birmingham, Birmingham, AL, USA
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12
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Kalenderian E, White J, Yansane AI, Urata J, Holmes D, Funkhouser K, Mungia R, Xiao J, Rauschenberger C, Ibarra-Noriega A, Tran D, Rindal DB, Spallek H, Walji M. Study protocol: understanding pain after dental procedures, an observational study within the National Dental PBRN. BMC Oral Health 2022; 22:581. [PMID: 36494795 PMCID: PMC9733211 DOI: 10.1186/s12903-022-02573-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 11/08/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Patient-reported outcome measures provide an essential perspective on the quality of health care provided. However, how data are collected, how providers value and make sense of the data, and, ultimately, use the data to create meaningful impact all influence the success of using patient-reported outcomes. OBJECTIVES The primary objective is to assess post-operative pain experiences by dental procedure type through 21 days post-procedure as reported by patients following dental procedures and assess patients' satisfaction with pain management following dental surgical procedures. Secondary objectives are to: 1) assess post-operative pain management strategies 1 week following dental surgical procedures, as recommended by practitioners and reported by patients, and 2) evaluate practitioner and patient acceptance of the FollowApp.Care post visit patient monitoring technology (FollowApp.Care). We will evaluate FollowApp.Care usage, perceived usefulness, ease of use, and impact on clinical workload. DESIGN AND METHODS We describe the protocol for an observational study involving the use of the FollowApp.Care platform, an innovative mobile application that collects dental patients' assessments of their post-operative symptoms (e.g., pain). The study will be conducted in collaboration with the National Dental Practice-based Research Network, a collective Network of dental practices that include private and group practices, public health clinics, community health centers and Federal Qualified Health Centers, academic institutional settings, and special patient populations. We will recruit a minimum of 150 and up to 215 dental providers and up to 3147 patients who will receive push notifications through text messages FollowApp.Care on their mobile phones at designated time intervals following dental procedures. This innovative approach of implementing an existing and tested mobile health system technology into the real-world dental office setting will actively track pain and other complications following dental procedures. Through patients' use of their mobile phones, we expect to promptly and precisely identify specific pain levels and other issues after surgical dental procedures. The study's primary outcome will be the patients' reported pain experiences. Secondary outcomes include pain management strategies and medications implemented by the patient and provider and perceptions of usefulness and ease of use by patients and providers.
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Affiliation(s)
- Elisabeth Kalenderian
- grid.424087.d0000 0001 0295 4797Academic Center for Dentistry at Amsterdam (ACTA), Gustav Mahlerlaan 3004, Room 6N-09, 1081 Amsterdam, LA The Netherlands ,grid.266102.10000 0001 2297 6811University of California San Francisco, School of Dentistry, 600 Parnassus Avenue, San Francisco, CA USA ,grid.38142.3c000000041936754XHarvard School of Dental Medicine, Boston, MA USA ,grid.49697.350000 0001 2107 2298University of Pretoria, School of Dentistry, Pretoria, South Africa
| | - Joel White
- grid.266102.10000 0001 2297 6811University of California San Francisco, School of Dentistry, 600 Parnassus Avenue, San Francisco, CA USA
| | - Alfa-Ibrahim Yansane
- grid.266102.10000 0001 2297 6811University of California San Francisco, School of Dentistry, 600 Parnassus Avenue, San Francisco, CA USA
| | - Janelle Urata
- grid.266102.10000 0001 2297 6811University of California San Francisco, School of Dentistry, 600 Parnassus Avenue, San Francisco, CA USA
| | - David Holmes
- FollowApp.Care, London, England ,Private Dental Practice, Periodontics and Implant Dentistry, 19 Wimpole St, W1G 8GE London, London UK
| | - Kimberly Funkhouser
- grid.414876.80000 0004 0455 9821Kaiser Permanente Center for Health Research, 3800 N. Interstate Avenue, Portland, OR 97227-1098 USA
| | - Rahma Mungia
- UTHealth San Antonio, School of Dentistry, San Antonio, TX USA
| | - Jin Xiao
- Department of Dentsitry, Eastman Institute for Oral Health, National Dental PBRN, 625 Elmwood Ave, Box 683, Rochester, NY 14620 USA
| | - Cindy Rauschenberger
- Department of Dentsitry, Eastman Institute for Oral Health, National Dental PBRN, 625 Elmwood Ave, Box 683, Rochester, NY 14620 USA
| | - Ana Ibarra-Noriega
- grid.267308.80000 0000 9206 2401The University of Texas Health Science Center at Houston, School of Dentistry, Diagnostic and Biomedical Sciences, Research Office, 7500 Cambridge Street, room 4334, Houston, TX 77054 USA
| | - Duong Tran
- grid.267308.80000 0000 9206 2401The University of Texas Health Science Center at Houston, School of Dentistry, Diagnostic and Biomedical Sciences, Research Office, 7500 Cambridge Street, room 4334, Houston, TX 77054 USA
| | - D. Brad Rindal
- grid.280625.b0000 0004 0461 4886HealthPartners Institute for Education and Research, 8170 33rd Avenue South, P.O. Box 1524, MS 23301A, Bloomington, MN 55440-1524 USA
| | - Heiko Spallek
- grid.1013.30000 0004 1936 834XUniversity of Sydney, School of Dentistry, 2 Chalmers St., Surry Hills, Sydney, NSW 2010 Australia
| | - Muhammad Walji
- grid.267308.80000 0000 9206 2401The University of Texas Health Science Center at Houston, School of Dentistry, Diagnostic and Biomedical Sciences, Research Office, 7500 Cambridge Street, room 4334, Houston, TX 77054 USA
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Chirinos DA, Vargas E, Kamsickas L, Carnethon M. The role of behavioral science in addressing cardiovascular health disparities: A narrative review of efforts, challenges, and future directions. Health Psychol 2022; 41:740-754. [PMID: 35849358 PMCID: PMC9886136 DOI: 10.1037/hea0001191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality in the United States. Despite improvements in the prevention and treatment of CVD over the past 20 years, racial/ethnic minority groups including non-Hispanic Blacks, Hispanic/Latinos, and some Asian subgroups (e.g., Asian Indians, Filipinos) experience higher rates of CVD risk factors and morbidity and mortality from CVD than non-Hispanic Whites. Therefore, addressing cardiovascular health disparities is an immediate priority. Behavioral science can play an important role in reducing disparities by capitalizing on expertise in human behavior change, social determinants of health, and implementation science. In this narrative review, we describe the efforts made within behavioral science to address CVD health disparities. We review current interventions to reduce CVD health disparities and provide practical recommendations that can be used as the field moves forward. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Diana A. Chirinos
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Emily Vargas
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Lisa Kamsickas
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Mercedes Carnethon
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL
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14
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Baffsky R, Ivers R, Cullen P, Batterham PJ, Toumbourou J, Calear AL, Werner-Seidler A, McGillivray L, Torok M. A cluster randomised effectiveness-implementation trial of an intervention to increase the adoption of PAX Good Behaviour Game, a mental health prevention program, in Australian primary schools: Study protocol. Contemp Clin Trials Commun 2022; 28:100923. [PMID: 35669488 PMCID: PMC9163694 DOI: 10.1016/j.conctc.2022.100923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 04/08/2022] [Accepted: 05/21/2022] [Indexed: 11/28/2022] Open
Affiliation(s)
- Rachel Baffsky
- School of Population Health, UNSW Sydney, Samuels Building, F25, Samuel Terry Ave, Kensington, NSW, Australia
- Corresponding author.
| | - Rebecca Ivers
- School of Population Health, UNSW Sydney, Samuels Building, F25, Samuel Terry Ave, Kensington, NSW, Australia
| | - Patricia Cullen
- School of Population Health, UNSW Sydney, Samuels Building, F25, Samuel Terry Ave, Kensington, NSW, Australia
| | - Philip J. Batterham
- Centre for Mental Health Research, The Australian National University, 62 Mills Road, Acton, ACT, Australia
| | - John Toumbourou
- School of Psychology, Deakin University, Burwood, Victoria, Australia
| | - Alison L. Calear
- Centre for Mental Health Research, The Australian National University, 62 Mills Road, Acton, ACT, Australia
| | - Aliza Werner-Seidler
- Black Dog Institute, University of New South Wales, Hospital Road, Randwick, NSW, Australia
| | - Lauren McGillivray
- Black Dog Institute, University of New South Wales, Hospital Road, Randwick, NSW, Australia
| | - Michelle Torok
- Black Dog Institute, University of New South Wales, Hospital Road, Randwick, NSW, Australia
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15
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Robertson D, Carins J, Rundle‐Thiele S, Harris J. Evaluation of Social Impact Within Primary School Health Promotion: A Systematic Review. THE JOURNAL OF SCHOOL HEALTH 2022; 92:739-764. [PMID: 35365879 PMCID: PMC9544285 DOI: 10.1111/josh.13160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 01/22/2022] [Accepted: 01/23/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Health promotion programs and interventions are designed to encourage behavioral changes in children, encouraging them to make safe and healthy life choices. This systematic review seeks to examine how social impact is measured in primary school health promotion interventions. METHOD A systematic search and review process was used to identify and examine primary school health promotion interventions. The PRISMA guidelines were followed to source articles from 6 electronic databases reporting school health promotion programs or interventions in Australia, Canada, New Zealand, or the United Kingdom. RESULTS A total of 77 studies were located, representing 55 health promotion interventions delivered in primary school settings. Of these interventions, only 8 (15%) measured or attempted to measure social impact, whereas another 8 (15%) alluded to social impact. The predominant theories reported were social based theories (theories which examine the social influences on people, environments, and behaviors) (n = 17, 59%), with almost a third not informed by an overt health promotion framework or model (n = 34, 59%). A systematic rating system identified some level of stakeholder engagement (n = 30, 53%). CONCLUSIONS This systematic review highlights the need for social impact measurement within health promotion to illuminate the role of school programs in delivering lasting change.
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Affiliation(s)
- Dianne Robertson
- Social Marketing @ GriffithDepartment of Marketing, Griffith University170 Kessels RoadNathanQLD4111Australia
| | - Julia Carins
- Social Marketing @ GriffithDepartment of Marketing, Griffith University170 Kessels RoadNathanQLD4111Australia
| | - Sharyn Rundle‐Thiele
- Social Marketing @ GriffithDepartment of Marketing, Griffith University170 Kessels RoadNathanQLD4111Australia
| | - Jessica Harris
- Social Marketing @ GriffithDepartment of Marketing, Griffith University170 Kessels RoadNathanQLD4111Australia
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16
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Bunce A, Middendorf M, Hoopes M, Donovan J, Gold R. Designing and Implementing an Electronic Health Record-Embedded Card Study in Primary Care: Methods and Considerations. Ann Fam Med 2022; 20:348-352. [PMID: 35879076 PMCID: PMC9328703 DOI: 10.1370/afm.2818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 12/06/2021] [Accepted: 01/31/2022] [Indexed: 11/09/2022] Open
Abstract
Card studies-short surveys about the circumstances within which patients receive care-are traditionally completed on physical cards. We report on the development of an electronic health record (EHR)-embedded card study intended to decrease logistical challenges inherent to paper-based approaches, including distributing, tracking, and transferring the physical cards, as well as data entry and respondent prompts, while simultaneously decreasing the complexity for participants and facilitating rich analyses by linking to clinical and demographic data found in the EHR. Developing the EHR-based programming and data extraction was time consuming, required specialized expertise, and necessitated iteration to rectify issues encountered during implementation. Nonetheless, future EHR-embedded card studies will be able to replicate many of the same processes as informed by these results. Once built, the EHR-embedded card study simplified survey implementation for both the research team and clinic staff, resulting in research-quality data, the ability to link survey responses to relevant EHR data, and a 79% response rate. This detailed accounting of the development and implementation process, including issues encountered and addressed, might guide others in conducting EHR-embedded card studies.
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Affiliation(s)
| | | | | | | | - Rachel Gold
- OCHIN Inc, Portland, Oregon.,Kaiser Center for Health Research, Portland, Oregon
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17
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Zellmer L, Johnson B, Idris A, Mehus CJ, Borowsky IW. Post-Identification Approaches to Addressing Health-Related Social Needs in Primary Care: A Qualitative Study. J Gen Intern Med 2022; 37:802-808. [PMID: 34331212 PMCID: PMC8904656 DOI: 10.1007/s11606-021-07033-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 07/09/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Social determinants of health play a fundamental role in a patient's health status. In recent years, health systems across the nation have implemented numerous strategies aimed at identifying and addressing the health-related social needs of the patients they serve. Despite the influx of peer-reviewed research highlighting outcomes of specific health-related social needs interventions, the spectrum of practices utilized by primary care clinics has not been established. OBJECTIVE To determine the range of ways primary care clinics address health-related social needs after identification and initial contact with a frontline staff person is completed. DESIGN We conducted 12 semi-structured, in-person interviews with staff from purposively sampled clinics. If the interview included more than one staff person, all participants were interviewed together. PARTICIPANTS Twenty-one administrative staff and frontline clinic personnel with experience in 24 separate primary care clinics in the Minneapolis-St. Paul, Minnesota metropolitan area. APPROACH Interviews focused on the range of health-related social needs processes utilized by clinics, including staff titles, referral procedures, and barriers to addressing needs. Interview recordings were transcribed and coded using thematic analysis. KEY RESULTS Thematic analysis identified variation in four key areas involving how clinics address patients' health-related social needs after identification and initial contact by frontline staff: clinic personnel involved in addressing needs, clinic referral processes, "resource" and "success" definitions, and barriers to accessing community-based supports. CONCLUSIONS This study describes the large variation in primary care clinic practices to address health-related social needs after they are identified. The results suggest challenges to standardization and real-world application of previously published studies. Our findings also highlight the opportunity for improved relationships between health systems and community-based agencies.
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Affiliation(s)
- Lucas Zellmer
- University of Minnesota Medical School, University of Minnesota, Minneapolis, MN, USA.
| | - Bryan Johnson
- University of Minnesota Medical School, University of Minnesota, Minneapolis, MN, USA
| | - Ahmed Idris
- Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN, USA
| | - Christopher J Mehus
- Institute for Translational Research in Children's Mental Health, University of Minnesota, Minneapolis, MN, USA
| | - Iris W Borowsky
- Division of General Pediatrics and Adolescent Health, Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA
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18
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Phuong J, Zampino E, Dobbins N, Espinoza J, Meeker D, Spratt H, Madlock-Brown C, Weiskopf NG, Wilcox A. Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2022; 2021:989-998. [PMID: 35308947 PMCID: PMC8861735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Deficiencies in data sharing capabilities limit Social Determinants of Health (SDoH) analysis as part of COVID-19 research. The National COVID Cohort Collaborative (N3C) is an example of an Electronic Health Record (EHR) database of patients tested for COVID-19 that could benefit from a SDoH elements framework that captures various screening instruments in EHR data warehouse systems. This paper uses the University of Washington Enterprise Data Warehouse (a data contributor to N3C) to demonstrate how SDoH can be represented and managed to be made available within an OMOP common data model. We found that these data varied by type of social determinants data and where it was collected, in the time period that it was collected, and in how it was represented.
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Affiliation(s)
- Jimmy Phuong
- Division of Biomedical and Health Informatics, UW Medicine, Seattle, Washington
- University of Washington Medicine Research IT, Seattle, Washington
| | - Elizabeth Zampino
- Division of Biomedical and Health Informatics, UW Medicine, Seattle, Washington
- University of Washington Medicine Research IT, Seattle, Washington
| | - Nicholas Dobbins
- Division of Biomedical and Health Informatics, UW Medicine, Seattle, Washington
- University of Washington Medicine Research IT, Seattle, Washington
| | - Juan Espinoza
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA
| | - Daniella Meeker
- Department of Preventive Medicine, University of Southern California, Los Angeles, California
| | - Heidi Spratt
- Preventative Medicine and Population Health, University of Texas Medical Branch, Galveston, Texas
| | - Charisse Madlock-Brown
- Dept of Health Informatics and Information Management, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Nicole G Weiskopf
- Department of Medical Informatics and Clinical Epidemiology, OHSU, Portland, Oregon
| | - Adam Wilcox
- Division of Biomedical and Health Informatics, UW Medicine, Seattle, Washington
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19
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Gronewold J, Engels M. The Lonely Brain – Associations Between Social Isolation and (Cerebro-) Vascular Disease From the Perspective of Social Neuroscience. Front Integr Neurosci 2022; 16:729621. [PMID: 35153690 PMCID: PMC8834536 DOI: 10.3389/fnint.2022.729621] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 01/04/2022] [Indexed: 11/13/2022] Open
Abstract
The current COVID-19 pandemic led to a considerable reduction in in-person social contacts all over the world. In most individuals, reduced social contacts lead to the perception of social isolation causing feelings of loneliness, which are experienced as stressful. Experiencing social distress due to actual or perceived social isolation has been associated with negative health outcomes such as depression, (cerebro-) vascular disease and mortality. Concrete mechanisms behind this association are still a matter of debate. A group of researchers around Hugo Critchley with special contributions of Sarah Garfinkel and Lisa Quadt proposes a framework for the underlying brain-body interactions including elements from models of social homeostasis and interoceptive predictive processing that provides important insights and testable pathways. While in a previous publication, we reviewed literature on the observed association between social isolation and stroke and coronary heart disease, we now extent this review by presenting a comprehensive model to explain underlying pathomechanisms from the perspective of social neuroscience. Further, we discuss how neurodivergent people, e.g. autistic individuals or persons with attention deficit disorders, might differ in these pathomechanisms and why they are especially vulnerable to social isolation. Finally, we discuss clinical implications for the prevention and therapy of (cerebro-) vascular diseases.
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Affiliation(s)
- Janine Gronewold
- Department of Neurology, Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- *Correspondence: Janine Gronewold,
| | - Miriam Engels
- Institute of Medical Sociology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Miriam Engels,
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20
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Taher S, Muramatsu N, Odoms-Young A, Peacock N, Michael CF, Courtney KS. An embedded multiple case study: using CFIR to map clinical food security screening constructs for the development of primary care practice guidelines. BMC Public Health 2022; 22:97. [PMID: 35030999 PMCID: PMC8758892 DOI: 10.1186/s12889-021-12407-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 12/10/2021] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Food insecurity (FI), the limited access to healthy food to live an active and healthy life, is a social determinant of health linked to poor dietary health and difficulty with disease management in the United States (U.S.). Healthcare experts support the adoption of validated screening tools within primary care practice to identify and connect FI patients to healthy and affordable food resources. Yet, a lack of standard practices limits uptake. The purpose of this study was to understand program processes and outcomes of primary care focused FI screening initiatives that may guide wide-scale program implementation. METHODS This was an embedded multiple case study of two primary care-focused initiatives implemented in two diverse health systems in Chicago and Suburban Cook County that routinely screened patients for FI and referred them to onsite food assistance programs. The Consolidated Framework for Implementation Research and an iterative process were used to collect/analyze qualitative data through semi-structured interviews with N = 19 healthcare staff. Intended program activities, outcomes, actors, implementation barriers/facilitators and overarching implementation themes were identified as a part of a cross-case analysis. RESULTS Programs outcomes included: the number of patients screened, identified as FI and that participated in the onsite food assistance program. Study participants reported limited internal resources as implementation barriers for program activities. The implementation climate that leveraged the strength of community collaborations and aligned internal, implementation climate were critical facilitators that contributed to the flexibility of program activities that were tailored to fill gaps in resources and meet patient and clinician needs. CONCLUSION Highly adaptable programs and the healthcare context enhanced implementation feasibility across settings. These characteristics can support program uptake in other settings, but should be used with caution to preserve program fidelity. A foundational model for the development and testing of standard clinical practice was the product of this study.
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Affiliation(s)
- Sabira Taher
- Department of Preventive Medicine, Northwestern Feinberg School of Medicine, 680 N Lake Shore Drive Suite 1400, Chicago, IL, 60611, USA.
| | - Naoko Muramatsu
- Department of Community Health Sciences, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor Street, Chicago, IL, 60612, USA
| | - Angela Odoms-Young
- Division of Nutritional Sciences, College of Human Ecology, Cornell University, Martha Van Rensselaer Hall, Ithaca, NY, 14853, USA
| | - Nadine Peacock
- Department of Community Health Sciences, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor Street, Chicago, IL, 60612, USA
| | - C Fagen Michael
- Department of Preventive Medicine, Northwestern Feinberg School of Medicine, 680 N Lake Shore Drive Suite 1400, Chicago, IL, 60611, USA
| | - K Suh Courtney
- Department of Family Medicine, Loyola Stritch School of Medicine, 2160 S 1st Ave, Maywood, IL, 60153, USA
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21
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Berkowitz RL, Bui L, Shen Z, Pressman A, Moreno M, Brown S, Nilon A, Miller-Rosales C, Azar KMJ. Evaluation of a social determinants of health screening questionnaire and workflow pilot within an adult ambulatory clinic. BMC FAMILY PRACTICE 2021; 22:256. [PMID: 34952582 PMCID: PMC8708511 DOI: 10.1186/s12875-021-01598-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 11/29/2021] [Indexed: 12/05/2022]
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.
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Affiliation(s)
- Rachel L Berkowitz
- Department of Public Health and Recreation, College of Health and Human Sciences, San José State University, One Washington Square, San José, CA, 95192, USA
- Sutter Health Institute for Advancing Health Equity, 2121 N. California Blvd, Walnut Creek, CA, 94596, USA
| | - Linh Bui
- Sutter Health Institute for Advancing Health Equity, 2121 N. California Blvd, Walnut Creek, CA, 94596, USA
- Department of Nursing, School of Natural Sciences, Mathematics, and Engineering, California State University, Bakersfield, 9001 Stockdale Highway, Bakersfield, CA, 93311, USA
| | - Zijun Shen
- Sutter Health Institute for Advancing Health Equity, 2121 N. California Blvd, Walnut Creek, CA, 94596, USA
- Sutter Health Center for Health Systems Research, 2121 N. California Blvd, Walnut Creek, CA, 94596, USA
| | - Alice Pressman
- Sutter Health Institute for Advancing Health Equity, 2121 N. California Blvd, Walnut Creek, CA, 94596, USA
- Sutter Health Center for Health Systems Research, 2121 N. California Blvd, Walnut Creek, CA, 94596, USA
| | - Maria Moreno
- Sutter Health Institute for Advancing Health Equity, 2121 N. California Blvd, Walnut Creek, CA, 94596, USA
- Sutter Health Center for Health Systems Research, 2121 N. California Blvd, Walnut Creek, CA, 94596, USA
| | - Stephanie Brown
- Sutter Health Institute for Advancing Health Equity, 2121 N. California Blvd, Walnut Creek, CA, 94596, USA
- Alta Bates Summit Medical Center, Sutter Health, 350 Hawthorne Ave., Oakland, CA, 94609, USA
- Berkeley Emergency Medical Group, 2450 Ashby Ave., Berkeley, CA, 94705, USA
| | - Anne Nilon
- Sutter Health Population Health Services, 2121 N. California Blvd, Walnut Creek, CA, 94596, USA
| | - Chris Miller-Rosales
- Department of Health Care Policy, Harvard Medical School, 180 Longwood Avenue, Boston, MA, 02115, USA
| | - Kristen M J Azar
- Sutter Health Institute for Advancing Health Equity, 2121 N. California Blvd, Walnut Creek, CA, 94596, USA.
- Sutter Health Center for Health Systems Research, 2121 N. California Blvd, Walnut Creek, CA, 94596, USA.
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th St., Second Floor, San Francisco, CA, 94158, USA.
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22
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Gold R, Sheppler C, Hessler D, Bunce A, Cottrell E, Yosuf N, Pisciotta M, Gunn R, Leo M, Gottlieb L. Using Electronic Health Record-Based Clinical Decision Support to Provide Social Risk-Informed Care in Community Health Centers: Protocol for the Design and Assessment of a Clinical Decision Support Tool. JMIR Res Protoc 2021; 10:e31733. [PMID: 34623308 PMCID: PMC8538020 DOI: 10.2196/31733] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 07/28/2021] [Accepted: 07/29/2021] [Indexed: 11/30/2022] Open
Abstract
Background Consistent and compelling evidence demonstrates that social and economic adversity has an impact on health outcomes. In response, many health care professional organizations recommend screening patients for experiences of social and economic adversity or social risks—for example, food, housing, and transportation insecurity—in the context of care. Guidance on how health care providers can act on documented social risk data to improve health outcomes is nascent. A strategy recommended by the National Academy of Medicine involves using social risk data to adapt care plans in ways that accommodate patients’ social risks. Objective This study’s aims are to develop electronic health record (EHR)–based clinical decision support (CDS) tools that suggest social risk–informed care plan adaptations for patients with diabetes or hypertension, assess tool adoption and its impact on selected clinical quality measures in community health centers, and examine perceptions of tool usability and impact on care quality. Methods A systematic scoping review and several stakeholder activities will be conducted to inform development of the CDS tools. The tools will be pilot-tested to obtain user input, and their content and form will be revised based on this input. A randomized quasi-experimental design will then be used to assess the impact of the revised tools. Eligible clinics will be randomized to a control group or potential intervention group; clinics will be recruited from the potential intervention group in random order until 6 are enrolled in the study. Intervention clinics will have access to the CDS tools in their EHR, will receive minimal implementation support, and will be followed for 18 months to evaluate tool adoption and the impact of tool use on patient blood pressure and glucose control. Results This study was funded in January 2020 by the National Institute on Minority Health and Health Disparities of the National Institutes of Health. Formative activities will take place from April 2020 to July 2021, the CDS tools will be developed between May 2021 and November 2022, the pilot study will be conducted from August 2021 to July 2022, and the main trial will occur from December 2022 to May 2024. Study data will be analyzed, and the results will be disseminated in 2024. Conclusions Patients’ social risk information must be presented to care teams in a way that facilitates social risk–informed care. To our knowledge, this study is the first to develop and test EHR-embedded CDS tools designed to support the provision of social risk–informed care. The study results will add a needed understanding of how to use social risk data to improve health outcomes and reduce disparities. International Registered Report Identifier (IRRID) PRR1-10.2196/31733
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Affiliation(s)
- Rachel Gold
- Kaiser Permanente Center for Health Research, Portland, OR, United States.,OCHIN, Inc., Portland, OR, United States
| | - Christina Sheppler
- Kaiser Permanente Center for Health Research, Portland, OR, United States
| | - Danielle Hessler
- University of California San Francisco, San Francisco, CA, United States
| | | | | | - Nadia Yosuf
- Kaiser Permanente Center for Health Research, Portland, OR, United States
| | | | - Rose Gunn
- OCHIN, Inc., Portland, OR, United States
| | - Michael Leo
- Kaiser Permanente Center for Health Research, Portland, OR, United States
| | - Laura Gottlieb
- University of California San Francisco, San Francisco, CA, United States
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23
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Theis RP, Blackburn K, Lipori G, Harle CA, Alvarado MM, Carek PJ, Zemon N, Howard A, Salloum RG, Shenkman EA. Implementation context for addressing social needs in a learning health system: a qualitative study. J Clin Transl Sci 2021; 5:e201. [PMID: 35047213 PMCID: PMC8727713 DOI: 10.1017/cts.2021.842] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 08/17/2021] [Accepted: 08/18/2021] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Unmet social needs contribute to growing health disparities and rising health care costs. Strategies to collect and integrate information on social needs into patients' electronic health records (EHRs) show promise for connecting patients with community resources. However, gaps remain in understanding the contextual factors that impact implementing these interventions in clinical settings. METHODS We conducted qualitative interviews with patients and focus groups with providers (January-September 2020) in two primary care clinics to inform the implementation of a module that collects and integrates patient-reported social needs information into the EHR. Questions addressed constructs within the Theoretical Framework for Acceptability and the Consolidated Framework for Implementation Research. Data were coded deductively using team-based framework analysis, followed by inductive coding and matrix analyses. RESULTS Forty patients participated in interviews, with 20 recruited at the clinics and 20 from home. Two focus groups were conducted with a total of 12 providers. Factors salient to acceptability and feasibility included patients' discomfort answering sensitive questions, concerns about privacy, difficulty reading/understanding module content, and technological literacy. Rapport with providers was a facilitator for patients to discuss social needs. Providers stressed that limited time with patients would be a barrier, and expressed concerns about the lack of available community resources. CONCLUSION Findings highlight the need for flexible approaches to assessing and discussing social needs with patients. Feasibility of the intervention is contingent upon support from the health system to facilitate social needs assessment and discussion. Further study of availability of community resources is needed to ensure intervention effectiveness.
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Affiliation(s)
- Ryan P. Theis
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
| | - Katherine Blackburn
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
| | - Gloria Lipori
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
- Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, FL, USA
| | - Christopher A. Harle
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
| | - Michelle M. Alvarado
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
- Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA
| | - Peter J. Carek
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
- Department of Epidemiology, University of Florida, Gainesville, FL, USA
| | - Nadine Zemon
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
| | - Angela Howard
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
| | - Ramzi G. Salloum
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
| | - Elizabeth A. Shenkman
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
- Learning Health System Program, Clinical and Translational Science Institute, University of Florida,Gainesville, FL, USA
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24
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Haley AD, Powell BJ, Walsh-Bailey C, Krancari M, Gruß I, Shea CM, Bunce A, Marino M, Frerichs L, Lich KH, Gold R. Strengthening methods for tracking adaptations and modifications to implementation strategies. BMC Med Res Methodol 2021; 21:133. [PMID: 34174834 PMCID: PMC8235850 DOI: 10.1186/s12874-021-01326-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 05/11/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Developing effective implementation strategies requires adequate tracking and reporting on their application. Guidelines exist for defining and reporting on implementation strategy characteristics, but not for describing how strategies are adapted and modified in practice. We built on existing implementation science methods to provide novel methods for tracking strategy modifications. METHODS These methods were developed within a stepped-wedge trial of an implementation strategy package designed to help community clinics adopt social determinants of health-related activities: in brief, an 'Implementation Support Team' supports clinics through a multi-step process. These methods involve five components: 1) describe planned strategy; 2) track its use; 3) monitor barriers; 4) describe modifications; and 5) identify / describe new strategies. We used the Expert Recommendations for Implementing Change taxonomy to categorize strategies, Proctor et al.'s reporting framework to describe them, the Consolidated Framework for Implementation Research to code barriers / contextual factors necessitating modifications, and elements of the Framework for Reporting Adaptations and Modifications-Enhanced to describe strategy modifications. RESULTS We present three examples of the use of these methods: 1) modifications made to a facilitation-focused strategy (clinics reported that certain meetings were too frequent, so their frequency was reduced in subsequent wedges); 2) a clinic-level strategy addition which involved connecting one study clinic seeking help with community health worker-related workflows to another that already had such a workflow in place; 3) a study-level strategy addition which involved providing assistance in overcoming previously encountered (rather than de novo) challenges. CONCLUSIONS These methods for tracking modifications made to implementation strategies build on existing methods, frameworks, and guidelines; however, as none of these were a perfect fit, we made additions to several frameworks as indicated, and used certain frameworks' components selectively. While these methods are time-intensive, and more work is needed to streamline them, they are among the first such methods presented to implementation science. As such, they may be used in research on assessing effective strategy modifications and for replication and scale-up of effective strategies. We present these methods to guide others seeking to document implementation strategies and modifications to their studies. TRIAL REGISTRATION clinicaltrials.gov ID: NCT03607617 (first posted 31/07/2018).
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Affiliation(s)
- Amber D Haley
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 1105C McGavran-Greenberg Hall, Chapel Hill, NC, 27599-7411, USA.
| | - Byron J Powell
- George Warren Brown School, Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO, 63130, USA
| | - Callie Walsh-Bailey
- George Warren Brown School, Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO, 63130, USA
| | - Molly Krancari
- OCHIN, Inc, 1881 SW Naito Pkwy, Portland, OR, 97201, USA
| | - Inga Gruß
- Kaiser Permanente, Center for Health Research, 3800 N. Interstate Ave, Portland, OR, 97227, USA
| | - Christopher M Shea
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 1105C McGavran-Greenberg Hall, Chapel Hill, NC, 27599-7411, USA
| | - Arwen Bunce
- OCHIN, Inc, 1881 SW Naito Pkwy, Portland, OR, 97201, USA
| | - Miguel Marino
- Oregon Health and Science University, 3181 S.W. Sam Jackson Park Rd., Portland, OR, 97239, USA
| | - Leah Frerichs
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 1105C McGavran-Greenberg Hall, Chapel Hill, NC, 27599-7411, USA
| | - Kristen Hassmiller Lich
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 1105C McGavran-Greenberg Hall, Chapel Hill, NC, 27599-7411, USA
| | - Rachel Gold
- OCHIN, Inc, 1881 SW Naito Pkwy, Portland, OR, 97201, USA
- Kaiser Permanente, Center for Health Research, 3800 N. Interstate Ave, Portland, OR, 97227, USA
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25
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Haley AD, Powell BJ, Walsh-Bailey C, Krancari M, Gruß I, Shea CM, Bunce A, Marino M, Frerichs L, Lich KH, Gold R. Strengthening methods for tracking adaptations and modifications to implementation strategies. BMC Med Res Methodol 2021. [PMID: 34174834 DOI: 10.1186/s12874‐021‐01326‐6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Developing effective implementation strategies requires adequate tracking and reporting on their application. Guidelines exist for defining and reporting on implementation strategy characteristics, but not for describing how strategies are adapted and modified in practice. We built on existing implementation science methods to provide novel methods for tracking strategy modifications. METHODS These methods were developed within a stepped-wedge trial of an implementation strategy package designed to help community clinics adopt social determinants of health-related activities: in brief, an 'Implementation Support Team' supports clinics through a multi-step process. These methods involve five components: 1) describe planned strategy; 2) track its use; 3) monitor barriers; 4) describe modifications; and 5) identify / describe new strategies. We used the Expert Recommendations for Implementing Change taxonomy to categorize strategies, Proctor et al.'s reporting framework to describe them, the Consolidated Framework for Implementation Research to code barriers / contextual factors necessitating modifications, and elements of the Framework for Reporting Adaptations and Modifications-Enhanced to describe strategy modifications. RESULTS We present three examples of the use of these methods: 1) modifications made to a facilitation-focused strategy (clinics reported that certain meetings were too frequent, so their frequency was reduced in subsequent wedges); 2) a clinic-level strategy addition which involved connecting one study clinic seeking help with community health worker-related workflows to another that already had such a workflow in place; 3) a study-level strategy addition which involved providing assistance in overcoming previously encountered (rather than de novo) challenges. CONCLUSIONS These methods for tracking modifications made to implementation strategies build on existing methods, frameworks, and guidelines; however, as none of these were a perfect fit, we made additions to several frameworks as indicated, and used certain frameworks' components selectively. While these methods are time-intensive, and more work is needed to streamline them, they are among the first such methods presented to implementation science. As such, they may be used in research on assessing effective strategy modifications and for replication and scale-up of effective strategies. We present these methods to guide others seeking to document implementation strategies and modifications to their studies. TRIAL REGISTRATION clinicaltrials.gov ID: NCT03607617 (first posted 31/07/2018).
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Affiliation(s)
- Amber D Haley
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 1105C McGavran-Greenberg Hall, Chapel Hill, NC, 27599-7411, USA.
| | - Byron J Powell
- George Warren Brown School, Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO, 63130, USA
| | - Callie Walsh-Bailey
- George Warren Brown School, Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO, 63130, USA
| | - Molly Krancari
- OCHIN, Inc, 1881 SW Naito Pkwy, Portland, OR, 97201, USA
| | - Inga Gruß
- Kaiser Permanente, Center for Health Research, 3800 N. Interstate Ave, Portland, OR, 97227, USA
| | - Christopher M Shea
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 1105C McGavran-Greenberg Hall, Chapel Hill, NC, 27599-7411, USA
| | - Arwen Bunce
- OCHIN, Inc, 1881 SW Naito Pkwy, Portland, OR, 97201, USA
| | - Miguel Marino
- Oregon Health and Science University, 3181 S.W. Sam Jackson Park Rd., Portland, OR, 97239, USA
| | - Leah Frerichs
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 1105C McGavran-Greenberg Hall, Chapel Hill, NC, 27599-7411, USA
| | - Kristen Hassmiller Lich
- Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 1105C McGavran-Greenberg Hall, Chapel Hill, NC, 27599-7411, USA
| | - Rachel Gold
- OCHIN, Inc, 1881 SW Naito Pkwy, Portland, OR, 97201, USA.,Kaiser Permanente, Center for Health Research, 3800 N. Interstate Ave, Portland, OR, 97227, USA
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26
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Rogers JR, Lee J, Zhou Z, Cheung YK, Hripcsak G, Weng C. Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review. J Am Med Inform Assoc 2021; 28:144-154. [PMID: 33164065 DOI: 10.1093/jamia/ocaa224] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 08/11/2020] [Accepted: 09/02/2020] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE Real-world data (RWD), defined as routinely collected healthcare data, can be a potential catalyst for addressing challenges faced in clinical trials. We performed a scoping review of database-specific RWD applications within clinical trial contexts, synthesizing prominent uses and themes. MATERIALS AND METHODS Querying 3 biomedical literature databases, research articles using electronic health records, administrative claims databases, or clinical registries either within a clinical trial or in tandem with methodology related to clinical trials were included. Articles were required to use at least 1 US RWD source. All abstract screening, full-text screening, and data extraction was performed by 1 reviewer. Two reviewers independently verified all decisions. RESULTS Of 2020 screened articles, 89 qualified: 59 articles used electronic health records, 29 used administrative claims, and 26 used registries. Our synthesis was driven by the general life cycle of a clinical trial, culminating into 3 major themes: trial process tasks (51 articles); dissemination strategies (6); and generalizability assessments (34). Despite a diverse set of diseases studied, <10% of trials using RWD for trial process tasks evaluated medications or procedures (5/51). All articles highlighted data-related challenges, such as missing values. DISCUSSION Database-specific RWD have been occasionally leveraged for various clinical trial tasks. We observed underuse of RWD within conducted medication or procedure trials, though it is subject to the confounder of implicit report of RWD use. CONCLUSION Enhanced incorporation of RWD should be further explored for medication or procedure trials, including better understanding of how to handle related data quality issues to facilitate RWD use.
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Affiliation(s)
- James R Rogers
- Department of Biomedical Informatics, Columbia University, New York, New York, USA
| | - Junghwan Lee
- Department of Biomedical Informatics, Columbia University, New York, New York, USA
| | - Ziheng Zhou
- Institute of Human Nutrition, Columbia University, New York, New York, USA
| | - Ying Kuen Cheung
- Department of Biostatistics, Columbia University, New York, New York, USA, and
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University, New York, New York, USA.,Medical Informatics Services, New York-Presbyterian Hospital, New York, New York, USA
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University, New York, New York, USA
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27
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Gruß I, Bunce A, Davis J, Dambrun K, Cottrell E, Gold R. Initiating and Implementing Social Determinants of Health Data Collection in Community Health Centers. Popul Health Manag 2020; 24:52-58. [PMID: 32119804 DOI: 10.1089/pop.2019.0205] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Successfully incorporating social determinants of health (SDH) screening into clinic workflows can help care teams provide targeted care, appropriate referrals, and other interventions to address patients' social risk factors. However, integrating SDH screening into clinical routines is known to be challenging. To achieve widespread adoption of SDH screening, we need to better understand the factors that can facilitate or hinder implementation of effective, sustainable SDH processes. The authors interviewed 43 health care staff and professionals at 8 safety net community health center (CHC) organizations in 5 states across the United States; these CHCs had adopted electronic health record (EHR)-based SDH screening without any external implementation support. Interviewees included staff in administrative, quality improvement, informatics, front desk, and clinical roles (providers, nurses, behavioral health staff), and community health workers. Interviews focused on how each organization integrated EHR-based SDH screening into clinic workflows, and factors that affected adoption of this practice change. Factors that facilitated effective integration of EHR-based SDH screening were: (1) external incentives and motivators that prompted introduction of this screening (eg, grant requirements, encouragement from professional associations); (2) presence of an SDH screening advocate; and (3) maintaining flexibility with regard to workflow approaches to optimally align them with clinic needs, interests, and resources. Results suggest that it is possible to purposefully create an environment conducive to successfully implementing EHR-based SDH screening. Approaching the task of implementing SDH screening into clinic workflows as understanding the interplay of context-dependent factors, rather than following a step-by-step process, may be critical to success in primary care settings.
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Affiliation(s)
- Inga Gruß
- Kaiser Permanente Center for Health Research, Science Programs Department, Portland, Oregon, USA
| | | | - James Davis
- Kaiser Permanente Center for Health Research, Science Programs Department, Portland, Oregon, USA
| | | | - Erika Cottrell
- OCHIN, Inc., Portland, Oregon, USA.,Department of Family Medicine, Oregon Health and Science University, Portland, Oregon, USA
| | - Rachel Gold
- Kaiser Permanente Center for Health Research, Science Programs Department, Portland, Oregon, USA.,OCHIN, Inc., Portland, Oregon, USA
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