Background . There is growing evidence that social and behavioral determinants of health (SBDH) play a substantial effect in a wide range of health outcomes. Electronic health records (EHRs) have been widely employed to conduct observational studies in the age of artificial intelligence (AI). However, there has been limited review into how to make the most of SBDH information from EHRs using AI approaches. Methods . A systematic search was conducted in six databases to find relevant peer-reviewed publications that had recently been published. Relevance was determined by screening and evaluating the articles. Based on selected relevant studies, a methodological analysis of AI algorithms leveraging SBDH information in EHR data was provided. Results . Our synthesis was driven by an analysis of SBDH categories, the relationship between SBDH and healthcare-related statuses, natural language processing (NLP) approaches for extracting SBDH from clinical notes, and predictive models using SBDH for health outcomes. Discussion . The associations between SBDH and health outcomes are complicated and diverse; several pathways may be involved. Using NLP technology to support the extraction of SBDH and other clinical ideas simplifies the identification and extraction of essential concepts from clinical data, efficiently unlocks unstructured data, and aids in the resolution of unstructured data-related issues. Conclusion . Despite known associations between SBDH and diseases, SBDH factors are rarely investigated as interventions to improve patient outcomes. Gaining knowledge about SBDH and how SBDH data can be collected from EHRs using NLP approaches and predictive models improves the chances of influencing health policy change for patient wellness, ultimately promoting health and health equity.
Community-Engaged Strategies to Increase Diversity of Participants in Health Education Research
Minorities have historically been underrepresented in health-related research. Several strategies have been recommended to increase the participation of minorities in health-related research. However, most of the recommendations and guidelines apply to research in clinical or laboratory contexts. One of the more prominent methods to enhance minority participation in health-related research that has recently come to the fore is the use of community-engaged strategies. The purpose of this article is to summarize community-engaged outreach efforts that can be translated into useable strategies for health education research teams seeking to diversify the pool of research participants. Also, we provide a succinct overview of the various components of a research endeavor that may influence minority participation in health-related research. Finally, we analyze how health education specialists and SOPHE (Society of Public Health Education) can play a leading role in helping enhance minority participation in health-related research.
The Effect of Message Framing on African American Women’s Intention to Participate in Health-Related Research
Objective: To examine perceptions and attitudes toward health-related research participation among professional African American women. Methods: Participants were members of an African American women's service organization, The Links, Incorporated. Data were collected via self-administered questionnaires at The Links, Incorporated 2012 National Assembly. Sociodemographics, prior research experience, intention to participate (ITP), willingness to participate (WTP) in a variety of research studies and attitudes about research participation were measured. Results: A total of 381 surveys were analyzed. A majority of respondents were married (66%), employed (69%), and college educated (96%). Median age was 59; 38% reported prior research participation. Overall, 78% agreed with the statement, “Participation in research will mean better care,” 24% agreed “Participation in research is risky” and 3% agreed “Scientists cannot be trusted.” Fifty-two percent agreed with the statement, “Research conducted in the U.S. is ethical.” Mean ITP in research was 4.9±1.7 on a rating scale of 1 (“definitely no”) to 7 (“definitely yes”). WTP was highest for an interview study and providing a blood sample, and lowest for clinical trial and medical record review. Conclusion: Attitudes toward research participation were generally favorable among professional African American women; many expressed WTP in a variety of research study types.