scholarly journals Initiating and Implementing Social Determinants of Health Data Collection in Community Health Centers

2020 ◽  
Author(s):  
Inga Gruß ◽  
Arwen Bunce ◽  
James Davis ◽  
Katie Dambrun ◽  
Erika Cottrell ◽  
...  
Keyword(s):  
Data Collection ◽  
Community Health ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Community Health Centers ◽  
Health Data ◽  
Health Centers ◽  
Determinants Of Health

scholarly journals Adoption of Social Determinants of Health EHR Tools by Community Health Centers

2018 ◽  
Vol 16 (5) ◽  
pp. 399-407 ◽  
Author(s):  
Rachel Gold ◽  
Arwen Bunce ◽  
Stuart Cowburn ◽  
Katie Dambrun ◽  
Marla Dearing ◽  
...  
Keyword(s):  
Community Health ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Community Health Centers ◽  
Health Centers ◽  
Determinants Of Health

scholarly journals Implementing Social Determinants of Health Screening at Community Health Centers: Clinician and Staff Perspectives

2019 ◽  
Vol 10 ◽  
pp. 215013271988726 ◽  
Author(s):  
Carolina-Nicole Herrera ◽  
Annelise Brochier ◽  
Michelle Pellicer ◽  
Arvin Garg ◽  
Mari-Lynn Drainoni
Keyword(s):  
Community Health ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Community Health Centers ◽  
Community Health Center ◽  
Determinants Of Health ◽  
Patient Navigator ◽  
Office Visits ◽  
Care Model ◽  
Staff Members

Purpose: Screening for social determinants of health (SDOH) during primary care office visits is recommended by pediatric and internal medicine professional guidelines. Less is known about how SDOH screening and service referral can be successfully integrated into clinical practice. Methods: Key informant interviews with 11 community health center (CHC) clinicians and staff members (medical assistants and case managers) were analyzed to identify themes related to integrating a SDOH screening and referral process (augmented WE CARE model) into their workflow. Results: CHC clinicians and staff believed the augmented WE CARE model benefited their patients and the CHC’s mission. Most clinicians found the model was easy to implement. Some staff members had difficulty prioritizing the nonclinical intervention and were confused about their roles and the role of the patient navigator. The eligibility requirements and time needed to access local SDOH resources frustrated clinicians. Discussion: SDOH screening and referral care models can help support the mission of CHCs by identifying unmet material needs. However, CHCs have organizational and administrative challenges that successful interventions must address. CHCs need clinical champions for SDOH models because the screening and follow-up processes involve clinical staff. Additional support for SDOH models might include piloting the SDOH screening model workflow and formalizing the workflow before implementation, including the specific roles for clinicians, staff, and patient navigators.

scholarly journals Meaningful Information in the Age of Big Data: A Scoping Review on Social Determinants of Health Data Collection for Electronic Health Records

2019 ◽  
Author(s):  
Kelsey Berg ◽  
Chelsea Doktorchik ◽  
Hude Quan ◽  
Vineet Saini
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Electronic Health Records ◽  
Social Determinants Of Health ◽  
Health Systems ◽  
Social Determinants ◽  
Scoping Review ◽  
Determinants Of Health ◽  
Health Records ◽  
Automated Technology

Abstract Background: Electronic Health Records (EHRs) are key tools for integrating patient data into health information systems (IS). Advances in automated data collection methodology, particularly the collection of social determinants of health (SDOH), provide opportunities to advance health promotion and illness prevention through advanced analytics (i.e. “Big Data” techniques). We ask how current data collection processes in EHRs permit SDOH data to flow throughout health systems. Methods: Using a scoping review framework, we searched through medical literature to identify current practices in SDOH data collection within EHR systems. We extracted relevant information on data collection methodology, specifically focusing on uses of automated technology. We discuss our findings in the context of research methodology and potential for health equity. Results: Practitioners collect a variety of SDOH data at point of care through EHR, predominantly via embedded screening tools and clinical notes, and primarily capturing data on financial security, housing status, and social support. Health systems are increasingly using digital technology in data collection, including natural language processing algorithms. However overall use of automated technology is limited to date. End uses of data pertain to improving system efficiency, patient care-coordination, and addressing health disparities. Discussion & Conclusion: EHRs can realistically promote collection and meaningful use of SDOH data, although EHRs have not extensively been used to collect and manage this type of information. Future applied research on systems-level application of SDOH data is necessary, and should incorporate a range of stakeholders and interdisciplinary teams of researchers and practitioners in fields of health, computing, and social sciences.

Collecting Social Determinants of Health Data in the Clinical Setting: Findings from National PRAPARE Implementation

2020 ◽  
Vol 31 (2) ◽  
pp. 1018-1035 ◽  
Author(s):  
Rosy Chang Weir ◽  
Michelle Proser ◽  
Michelle Jester ◽  
Vivian Li ◽  
Carlyn M. Hood-Ronick ◽  
...  
Keyword(s):  
Social Determinants Of Health ◽  
Social Determinants ◽  
Clinical Setting ◽  
Health Data ◽  
Determinants Of Health
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