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Topics
- Cancer (1)
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- Education: Patient and Caregiver (1)
- Electronic Health Records (EHRs) (1)
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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 3 of 3 Research Studies DisplayedLinfield GH, Patel S, Ko HJ
Evaluating the comparability of patient-level social risk data extracted from electronic health records: a systematic scoping review.
This study’s objective was to evaluate how and from where social risk data are extracted from electronic health records (EHRs) for research purposes, and how observed differences may impact study generalizability. A systematic scoping review was conducted of peer-reviewed literature that used patient-level EHR data to assess 1 ± 6 social risk domains: housing, transportation, food, utilities, safety, social support/isolation. The authors found 111 of 9022 identified articles met inclusion criteria. By domain, martial/partner status was most often included, predominantly defined by marital partner status, and extracted from structured sociodemographic data. Structured housing data was extracted most from billing codes and screening tools. Across domains, data were predominantly sourced from structured fields (n = 89/111) versus unstructured free text (n = 32/111).
AHRQ-funded; HS026383.
Citation: Linfield GH, Patel S, Ko HJ .
Evaluating the comparability of patient-level social risk data extracted from electronic health records: a systematic scoping review.
Health Informatics J 2023 Jul-Sep; 29(3):14604582231200300. doi: 10.1177/14604582231200300..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Social Determinants of Health, Risk
Shear K, Rice H, Garabedian PM
Usability testing of an interoperable computerized clinical decision support tool for fall risk management in primary care.
The purpose of this study was to conduct usability testing of the ASPIRE fall risk management tool for use in divergent primary care clinics. Participants recruited from two sites with different electronic health records and clinical organizations used ASPIRE across two clinical scenarios; they rated ASPIRE usability as above average, based on usability benchmarks. Time spent on tasks decreased significantly between the first and second scenarios, indicating ease of learnability. The authors conclude that ASPIRE could be integrated into diverse organizations, since it allows a tailored implementation without the need to build a new system for each organization. ASPIRE is therefore well positioned to impact the challenge of falls at scale.
AHRQ-funded; HS027557.
Citation: Shear K, Rice H, Garabedian PM .
Usability testing of an interoperable computerized clinical decision support tool for fall risk management in primary care.
Appl Clin Inform 2023 Mar;14(2):212-26. doi: 10.1055/a-2006-4936.
Keywords: Clinical Decision Support (CDS), Shared Decision Making, Health Information Technology (HIT), Falls, Primary Care, Risk, Prevention
Conley CC, Wernli KJ, Knerr S
Using protection motivation theory to predict intentions for breast cancer risk management: intervention mechanisms from a randomized controlled trial.
The objective of this study was to evaluate direct and indirect effects of a web-based, Protection Motivation Theory (PMT)-informed education and decision support tool for risk-reducing medication and breast MRI among women with high risk of breast cancer. Findings indicated that PMT-informed intervention effected behavioral intentions. No direct intervention effect on intentions for risk-reducing medication or MRI were found, but there were significant indirect effects on risk-reducing medication intentions via perceived risk, self-efficacy, and response efficacy, and on MRI intentions via perceived risk and response efficacy, The authors suggested that future research should extend these findings from intentions to behavior.
AHRQ-funded; HS022982.
Citation: Conley CC, Wernli KJ, Knerr S .
Using protection motivation theory to predict intentions for breast cancer risk management: intervention mechanisms from a randomized controlled trial.
J Cancer Educ 2023 Feb; 38(1):292-300. doi: 10.1007/s13187-021-02114-y..
Keywords: Cancer: Breast Cancer, Cancer, Risk, Education: Patient and Caregiver, Health Information Technology (HIT)