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Search All Research Studies
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- Data (1)
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- Evidence-Based Practice (3)
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- (-) Research Methodologies (8)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 8 of 8 Research Studies DisplayedBurgermaster M, Rodriguez VA
Psychosocial-behavioral phenotyping: a novel precision health approach to modeling behavioral, psychological, and social determinants of health using machine learning.
The purpose of this study was to demonstrate a novel application of machine learning for psychosocial-behavioral phenotyping, which includes the identification of subgroups with similar combinations of psychosocial characteristics. The researchers conducted a secondary analysis of psychosocial and behavioral data from a community cohort (n = 5,883). The study found 20 psychosocial-behavioral phenotypes. Each phenotype suggested different contextual considerations for intervention design. The researchers concluded that psychosocial-behavioral phenotypes can identify possible targets of intervention.
AHRQ-funded; HS019853.
Citation: Burgermaster M, Rodriguez VA .
Psychosocial-behavioral phenotyping: a novel precision health approach to modeling behavioral, psychological, and social determinants of health using machine learning.
Ann Behav Med 2022 Nov 18;56(12):1258-71. doi: 10.1093/abm/kaac012..
Keywords: Social Determinants of Health, Health Information Technology (HIT), Research Methodologies
Lin JS, Hoffman L, Bean SI
Addressing racism in preventive services: methods report to support the US Preventive Services Task Force.
The purpose of this report was to articulate the definitional and conceptual issues around racism and health inequity and to describe how racism and health inequities are currently addressed in preventive health. An audit was conducted assessing published literature on policy and position statements addressing racism, a subset of cancer and cardiovascular topics in USPSTF reports, recent systematic reviews on interventions to reduce health inequities, and societies, organizations, agencies, and funding bodies to gather information about how they address racism and health equity. Findings showed that racism is complex and pervasive, operates at multiple interrelated levels, and exerts negative effects on other social determinants and health and well-being through multiple pathways. The most directly relevant and immediately useful guidance identified is that from the GRADE (Grading of Recommendations Assessment, Development and Evaluation) working group.
AHRQ-funded; 290201600006C.
Citation: Lin JS, Hoffman L, Bean SI .
Addressing racism in preventive services: methods report to support the US Preventive Services Task Force.
JAMA 2021 Dec 21;326(23):2412-20. doi: 10.1001/jama.2021.17579..
Keywords: U.S. Preventive Services Task Force (USPSTF), Social Determinants of Health, Racial and Ethnic Minorities, Disparities, Research Methodologies, Prevention, Evidence-Based Practice
Davidson KW, Krist AH, Tseng CW
AHRQ Author: Mills J, Borsky A
Incorporation of social risk in US Preventive Services Task Force Recommendations and identification of key challenges for primary care.
The authors assessed how social risks have been considered in USPSTF recommendation statements and identified current gaps in evidence needed to expand the systematic inclusion of social risks in future recommendations. They concluded that their report serves as a benchmark and foundation for ongoing work to advance the goal of ensuring that health equity and social risks are incorporated into USPSTF methods and recommendations.
AHRQ-authored.
Citation: Davidson KW, Krist AH, Tseng CW .
Incorporation of social risk in US Preventive Services Task Force Recommendations and identification of key challenges for primary care.
JAMA 2021 Oct 12;326(14):1410-15. doi: 10.1001/jama.2021.12833..
Keywords: U.S. Preventive Services Task Force (USPSTF), Primary Care, Social Determinants of Health, Risk, Evidence-Based Practice, Research Methodologies, Guidelines
Predmore Z, Hatef E, Weiner JP
Integrating social and behavioral determinants of health into population health analytics: a conceptual framework and suggested road map.
There is growing recognition that social and behavioral risk factors impact population health outcomes. Interventions that target these risk factors can improve health outcomes. This study presents a review of existing literature and proposes a conceptual framework for the integration of social and behavioral data into population health analytics platforms. The authors describe several use cases for these platforms at the patient, health system, and community levels, and align these use cases with the different types of prevention identified by the Centers for Disease Control and Prevention.
AHRQ-funded; HS000029.
Citation: Predmore Z, Hatef E, Weiner JP .
Integrating social and behavioral determinants of health into population health analytics: a conceptual framework and suggested road map.
Popul Health Manag 2019 Dec;22(6):488-94. doi: 10.1089/pop.2018.0151..
Keywords: Social Determinants of Health, Risk, Research Methodologies
Krist AH, Davidson KW, Ngo-Metzger Q
AHRQ Author: Ngo-Metzger Q, Mills J
Social determinants as a preventive service: U.S. Preventive Services Task Force methods considerations for research.
The authors offer a brief review of the social determinants of health that may be germane to the USPSTF, the methods the USPSTF uses to evaluate relevant evidence, and current evidence gaps for social risks. Their road map for research is intended to spark ingenuity and purpose in the next generation of research studies, thereby ensuring that future recommendations to address and prevent social risks in primary care are informed by high-quality evidence.
AHRQ-authored; AHRQ-funded; HS026664.
Citation: Krist AH, Davidson KW, Ngo-Metzger Q .
Social determinants as a preventive service: U.S. Preventive Services Task Force methods considerations for research.
Am J Prev Med 2019 Dec;57(6s1):S6-s12. doi: 10.1016/j.amepre.2019.07.013..
Keywords: U.S. Preventive Services Task Force (USPSTF), Social Determinants of Health, Research Methodologies, Evidence-Based Practice, Prevention
Cottrell EK, Gold R, Likumahuwa S
Using health information technology to bring social determinants of health into primary care: a conceptual framework to guide research.
The investigators recently proposed a conceptual framework to illustrate how health information technology can be used to bring social determinants of health information into primary care. In this paper, they describe how they are putting this conceptual model into practice within the OCHIN network of community health centers by highlighting examples of ongoing research, identifying knowledge gaps, and outlining a roadmap of future research to move the field forward.
Citation: Cottrell EK, Gold R, Likumahuwa S .
Using health information technology to bring social determinants of health into primary care: a conceptual framework to guide research.
AHRQ-funded; 233201500020I..
Keywords: Health Information Technology (HIT), Primary Care, Research Methodologies, Social Determinants of Health
Heerman WJ, Jackson N, Roumie CL
Recruitment methods for survey research: findings from the Mid-South Clinical Data Research Network.
The objective of this study was to report survey response rates and demographic characteristics of eight recruitment approaches to determine acceptability and effectiveness of large-scale patient recruitment among various populations. The study concluded that technology-enabled recruitment approaches such as registries and emails are effective for recruiting but may yield less racial/ethnic diversity compared to traditional, more time-intensive approaches.
AHRQ-funded; HS022990.
Citation: Heerman WJ, Jackson N, Roumie CL .
Recruitment methods for survey research: findings from the Mid-South Clinical Data Research Network.
Contemp Clin Trials 2017 Nov;62:50-55. doi: 10.1016/j.cct.2017.08.006..
Keywords: Patient-Centered Outcomes Research, Research Methodologies, Racial and Ethnic Minorities, Social Determinants of Health
Folch DC, Arribas-Bel D, Koschinsky J
Spatial variation in the quality of American Community Survey estimates.
The authors use a series of multivariate spatial regression models to describe the patterns of association between uncertainty in estimates and economic, demographic, and geographic factors, controlling for the number of responses in the American Community Survey. They find that these demographic and geographic patterns in estimate quality persist even after accounting for the number of responses, and they present advice for data users and potential solutions to the challenges identified.
AHRQ-funded; HS021752.
Citation: Folch DC, Arribas-Bel D, Koschinsky J .
Spatial variation in the quality of American Community Survey estimates.
Demography 2016 Oct;53(5):1535-54. doi: 10.1007/s13524-016-0499-1.
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Keywords: Data, Research Methodologies, Social Determinants of Health