Project description:BACKGROUND:Risk assessment with a thorough family health history is recommended by numerous organizations and is now a required component of the annual physical for Medicare beneficiaries under the Affordable Care Act. However, there are several barriers to incorporating robust risk assessments into routine care. MeTree, a web-based patient-facing health risk assessment tool, was developed with the aim of overcoming these barriers. In order to better understand what factors will be instrumental for broader adoption of risk assessment programs like MeTree in clinical settings, we obtained funding to perform a type III hybrid implementation-effectiveness study in primary care clinics at five diverse healthcare systems. Here, we describe the study's protocol. METHODS/DESIGN:MeTree collects personal medical information and a three-generation family health history from patients on 98 conditions. Using algorithms built entirely from current clinical guidelines, it provides clinical decision support to providers and patients on 30 conditions. All adult patients with an upcoming well-visit appointment at one of the 20 intervention clinics are eligible to participate. Patient-oriented risk reports are provided in real time. Provider-oriented risk reports are uploaded to the electronic medical record for review at the time of the appointment. Implementation outcomes are enrollment rate of clinics, providers, and patients (enrolled vs approached) and their representativeness compared to the underlying population. Primary effectiveness outcomes are the percent of participants newly identified as being at increased risk for one of the clinical decision support conditions and the percent with appropriate risk-based screening. Secondary outcomes include percent change in those meeting goals for a healthy lifestyle (diet, exercise, and smoking). Outcomes are measured through electronic medical record data abstraction, patient surveys, and surveys/qualitative interviews of clinical staff. DISCUSSION:This study evaluates factors that are critical to successful implementation of a web-based risk assessment tool into routine clinical care in a variety of healthcare settings. The result will identify resource needs and potential barriers and solutions to implementation in each setting as well as an understanding potential effectiveness. TRIAL REGISTRATION:NCT01956773.
Project description:PURPOSE:This paper describes the implementation outcomes associated with integrating a family health history-based risk assessment and clinical decision support platform within primary care clinics at four diverse healthcare systems. METHODS:A type III hybrid implementation-effectiveness trial. Uptake and implementation processes were evaluated using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. RESULTS:One hundred (58%) primary care providers and 2514 (7.8%) adult patients enrolled. Enrolled patients were 69% female, 22% minority, and 32% Medicare/Medicaid. Compared with their respective clinic's population, patient-participants were more likely to be female (69 vs. 59%), older (mean age 57 vs. 49), and Caucasian (88 vs. 69%) (all p values <0.001). Female (81.3% of females vs. 78.5% of males, p value?=?0.018) and Caucasian (Caucasians 90.4% vs. minority 84.1%, p value?=?0.02) patient-participants were more likely to complete the study once enrolled. Patient-participant survey responses indicated MeTree was easy to use (95%), and patient-participants would recommend it to family/friends (91%). Minorities and those with less education reported greatest benefit. Enrolled providers reflected demographics of underlying provider population. CONCLUSION:Family health history-based risk assessment can be effectively implemented in diverse primary care settings and can effectively engage patients and providers. Future research should focus on finding better ways to engage young adults, males, and minorities in preventive healthcare.
Project description:CSER: Evaluating utility and improving implementation of genomic sequencing for pediatric cancer patients in the diverse population and healthcare settings of Texas: The KidsCanSeq Study
Project description:CSER: Evaluating utility and improving implementation of genomic sequencing for pediatric cancer patients in the diverse population and healthcare settings of Texas: The KidsCanSeq Study
Project description:The purpose of this study is to compare the effect of physician education about evidence based practices for colonoscopy alone, versus physician education plus a multi-component staff implementation strategy to improve adequacy of bowel preparation. Additionally the investigators will examine implementation factors that influence adoption of the evidence based practices.
Project description:PurposeTo analyze the literature on advance care planning (ACP) in primary care through the lens of implementation science, with a focus on implications for rural settings.DesignScoping review of the literature.MethodsThe Cumulative Index of Nursing and Allied Health Literature (CINAHL), Medline, PsycINFO, and the Psychology and Behavioral Sciences Collection databases were searched for studies related to ACP adoption and implementation in primary care. The Theoretical Domains Framework was used to map the literature to 14 determinants that serve as barriers or facilitators to ACP. The Conceptual Model of Evidence-Based Practice Implementation in Public Service Sectors was used to analyze the stage of implementation for each of the included studies.FindingsFour steps to ACP were specified: identification, conversation, documentation, and follow-up. Determinants were identified for each step, but studies largely focused on the conversation step. Professional role and identity, environmental context and resources, and emotion were the most frequently cited determinants in initiating conversations. The identification step was largely determined by behavioral regulation. For documenting ACP, environmental context and resource determinants were most prevalent. In the few studies that addressed follow-up, providers expressed a desire for electronic reminders as a behavioral regulator to follow-up.ConclusionsWhile ACP has been shown to have patient, family, and societal benefits, its uptake in primary care has been minimal. Because ACP is a complex process that is highly context dependent, implementation science is critical to inform its successful adoption and implementation. Smaller healthcare networks, adaptable professional roles, trusted relationships, and tight-knit community might be important facilitators of ACP in rural primary care.Clinical relevanceFindings from this study can be used to accelerate ACP implementation in rural primary care.
Project description:This pilot trial study uses a structural support program for adoption of cancer screening interventions at a rural community-based organization. Rural communities face unique barriers in implementation of evidence-based interventions due to a lack of infrastructure, community capacity, and expertise as academic and research centers are often clustered in urban areas. The support program may help a rural community-based organization select, adapt, and implement cancer prevention and control evidence-based interventions.
Project description:Transcriptional profiling has been used to identify gene expression patterns indicative of general medical illnesses such as atherosclerosis. However, whether these methods can identify common psychiatric disorders has not been established. To answer this question with respect to nicotine use, we used genome wide expression profiling lymphoblast cell lines from six actively smoking Iowa Adoption Studies subjects and nine ?clean? control subjects, followed by real-time PCR (RT-PCR) of gene expression patterns in lymphoblast derived RNA from 94 subjects in the Iowa Adoption Studies. As compared to those from controls without a history of smoking (n=9), the expression levels of 579 of 29,098 genes were significantly up-regulated and expression levels of 584 of 29,098 genes were significantly down-regulated in lymphoblast lines from currently smoking subjects (n=6). RT-PCR confirmation of four select RNA levels confirmed the validity of the overall profile and revealed highly significant relationships between the expression of some of these transcripts and 1) major depression, 2) antisocial personality, 3) nicotine dependence and 4) cannabis dependence. We conclude that the use of expression profiling may contribute significant insights into the biology of complex behavioral disorders. Keywords: substance use, major depression, SLC6A4, AUTS2, CAPN2, ELN, lymphoblast Keywords: disease state analysis