Kimberly G. Fulda, DrPH
Permanent URI for this communityhttps://hdl.handle.net/20.500.12503/31224
Associate Professor, Family Medicine and Osteopathic Manipulative Medicine
Executive Director, North Texas Primary Care-Based Research Network
Email: Kimberly.Fulda@unthsc.edu
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Browsing Kimberly G. Fulda, DrPH by Author "Buchanan, Adam"
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Item At the intersection of precision medicine and population health: an implementation-effectiveness study of family health history based systematic risk assessment in primary care(BioMed Central Ltd., 2020-11-07) Orlando, Lori A.; Wu, R. Ryanne; Myers, Rachel A.; Neuner, Joan; McCarty, Catherine; Haller, Irina V.; Harry, Melissa; Fulda, Kimberly G.; Dimmock, David; Rakhra-Burris, Teji; Buchanan, Adam; Ginsburg, Geoffrey S.Background: Risk assessment is a precision medicine technique that can be used to enhance population health when applied to prevention. Several barriers limit the uptake of risk assessment in health care systems; and little is known about the potential impact that adoption of systematic risk assessment for screening and prevention in the primary care population might have. Here we present results of a first of its kind multi-institutional study of a precision medicine tool for systematic risk assessment. Methods: We undertook an implementation-effectiveness trial of systematic risk assessment of primary care patients in 19 primary care clinics at four geographically and culturally diverse healthcare systems. All adult English or Spanish speaking patients were invited to enter personal and family health history data into MeTree, a patient-facing family health history driven risk assessment program, for 27 medical conditions. Risk assessment recommendations followed evidence-based guidelines for identifying and managing those at increased disease risk. Results: One thousand eight hundred eighty-nine participants completed MeTree, entering information on N = 25,967 individuals. Mean relatives entered = 13.7 (SD 7.9), range 7-74. N = 1443 (76.4%) participants received increased risk recommendations: 597 (31.6%) for monogenic hereditary conditions, 508 (26.9%) for familial-level risk, and 1056 (56.1%) for risk of a common chronic disease. There were 6617 recommendations given across the 1443 participants. In multivariate analysis, only the total number of relatives entered was significantly associated with receiving a recommendation. Conclusions: A significant percentage of the general primary care population meet criteria for more intensive risk management. In particular 46% for monogenic hereditary and familial level disease risk. Adopting strategies to facilitate systematic risk assessment in primary care could have a significant impact on populations within the U.S. and even beyond.Item Implementation-effectiveness trial of systematic family health history based risk assessment and impact on clinical disease prevention and surveillance activities(BioMed Central Ltd., 2022-12-07) Wu, R. Ryanne; Myers, Rachel A.; Neuner, Joan; McCarty, Catherine; Haller, Irina V.; Harry, Melissa; Fulda, Kimberly G.; Dimmock, David; Rakhra-Burris, Tejinder; Buchanan, Adam; Ginsburg, Geoffrey S.; Orlando, Lori A.BACKGROUND: Systematically assessing disease risk can improve population health by identifying those eligible for enhanced prevention/screening strategies. This study aims to determine the clinical impact of a systematic risk assessment in diverse primary care populations. METHODS: Hybrid implementation-effectiveness trial of a family health history-based health risk assessment (HRA) tied to risk-based guideline recommendations enrolling from 2014-2017 with 12 months of post-intervention survey data and 24 months of electronic medical record (EMR) data capture. SETTING: 19 primary care clinics at four geographically and culturally diverse U.S. healthcare systems. PARTICIPANTS: any English or Spanish-speaking adult with an upcoming appointment at an enrolling clinic. METHODS: A personal and family health history based HRA with integrated guideline-based clinical decision support (CDS) was completed by each participant prior to their appointment. Risk reports were provided to patients and providers to discuss at their clinical encounter. OUTCOMES: provider and patient discussion and provider uptake (i.e. ordering) and patient uptake (i.e. recommendation completion) of CDS recommendations. MEASURES: patient and provider surveys and EMR data. RESULTS: One thousand eight hundred twenty nine participants (mean age 56.2 [SD13.9], 69.6% female) completed the HRA and had EMR data available for analysis. 762 (41.6%) received a recommendation (29.7% for genetic counseling (GC); 15.2% for enhanced breast/colon cancer screening). Those with recommendations frequently discussed disease risk with their provider (8.7%-38.2% varied by recommendation, p-values