Empowering the Participant Voice (EPV): Design and implementation of collaborative infrastructure to collect research participant experience feedback at scale.

Empowering the Participant Voice (EPV) is an NCATS-funded six-CTSA collaboration to develop, demonstrate, and disseminate a low-cost infrastructure for collecting timely feedback from research participants, fostering trust, and providing data for improving clinical translational research. EPV leverages the validated Research Participant Perception Survey (RPPS) and the popular REDCap electronic data-capture platform. This report describes the development of infrastructure designed to overcome identified institutional barriers to routinely collecting participant feedback using RPPS and demonstration use cases. Sites engaged local stakeholders iteratively, incorporating feedback about anticipated value and potential concerns into project design. The team defined common standards and operations, developed software, and produced a detailed planning and implementation Guide. By May 2023, 2,575 participants diverse in age, race, ethnicity, and sex had responded to approximately 13,850 survey invitations (18.6%); 29% of responses included free-text comments. EPV infrastructure enabled sites to routinely access local and multi-site research participant experience data on an interactive analytics dashboard. The EPV learning collaborative continues to test initiatives to improve survey reach and optimize infrastructure and process. Broad uptake of EPV will expand the evidence base, enable hypothesis generation, and drive research-on-research locally and nationally to enhance the clinical research enterprise.

Health coaching and genetic risk testing in primary care: Randomized controlled trial.

OBJECTIVE: Accessible interventions are needed to prevent coronary heart disease (CHD) and Type 2 diabetes (T2D). This prospective, randomized, controlled trial evaluated remote health coaching (HC), genetic risk testing (GRT), or both added to standardized risk assessment (SRA) in at-risk military primary care patients. METHOD: Using a 2 × 2 factorial longitudinal design, 200 Air Force at-risk participants provided primary outcomes at baseline, 3-, 6- (HC endpoint), and 12-months. Secondary measures were taken less often. Per protocol analyses used linear models and logistic regression; intent-to-treat (ITT) analyses used mixed models. RESULTS: Compared with those not receiving HC, the HC group was 3.6 times more likely to report moderate to intense physical activity at 6-months (p = .0009), and 2.9 times more likely to report such at 12-months (p = .0065). ITT longitudinal model did not reach significance (p = .0885). The HC group reported lower emotional representations of illness at 6-weeks and lower depression at 6 months. There were no other significant findings. HC and GRT interacted; higher T2D risk participants receiving HC were 4.7 times more likely to report higher stage of change for exercise at 6-months, and lost 2.2 kg more by 12-months. Lower T2D risk participants receiving HC perceived greater control over CHD risk at 6-weeks, and averaged lower 6-month depression. CONCLUSIONS: Remote HC after SRA increased physical activity, which was sustained 6-months later. Incorporating GRT into SRA warrants further exploration regarding the potential to leverage HC for weight loss in elevated T2D risk participants, and for depression in lower T2D risk participants. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Reading the ground: Understanding the response of bioelectric microbes to anthropogenic compounds in soil based terrestrial microbial fuel cells.

Electrogenic bacteria produce power in soil based terrestrial microbial fuel cells (tMFCs) by growing on electrodes and transferring electrons released from the breakdown of substrates. The direction and magnitude of voltage production is hypothesized to be dependent on the available substrates. A sensor technology was developed for compounds indicative of anthropological activity by exposing tMFCs to gasoline, petroleum, 2,4-dinitrotoluene, fertilizer, and urea. A machine learning classifier was trained to identify compounds based on the voltage patterns. After 5 to 10 days, the mean voltage stabilized (+/- 0.5 mV). After the entire incubation, voltage ranged from -59.1 mV to 631.8 mV, with the tMFCs containing urea and gasoline producing the highest (624 mV) and lowest (-9 mV) average voltage, respectively. The machine learning algorithm effectively discerned between gasoline, urea, and fertilizer with greater than 94% accuracy, demonstrating that this technology could be successfully operated as an environmental sensor for change detection.

Correction: Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Correction: Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network.

The original version of this Article contained an error in the spelling of the author Geoffrey S. Ginsburg, which was incorrectly given as Geoffrey Ginsburg. This has now been corrected in both the PDF and HTML versions of the Article.

Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network.

PURPOSE: While there is growing scientific evidence for and significant advances in the use of genomic technologies in medicine, there is a significant lag in the clinical adoption and sustainability of genomic medicine. Here we describe the findings from the National Human Genome Research Institute's (NHGRI) Implementing GeNomics In pracTicE (IGNITE) Network in identifying key constructs, opportunities, and challenges associated with driving sustainability of genomic medicine in clinical practice. METHODS: Network members and affiliates were surveyed to identify key drivers associated with implementing and sustaining a genomic medicine program. Tallied results were used to develop and weigh key constructs/drivers required to support sustainability of genomic medicine programs. RESULTS: The top three driver-stakeholder dyads were (1) genomic training for providers, (2) genomic clinical decision support (CDS) tools embedded in the electronic health record (EHR), and (3) third party reimbursement for genomic testing. CONCLUSION: Priorities may differ depending on healthcare systems when comparing the current state of key drivers versus projected needs for supporting genomic medicine sustainability. Thus we provide gap-filling guidance based on IGNITE members' experiences. Although results are limited to findings from the IGNITE network, their implementation, scientific, and clinical experience may be used as a road map by others considering implementing genomic medicine programs.

Effects of Delivering SLCO1B1 Pharmacogenetic Information in Randomized Trial and Observational Settings.

BACKGROUND: Outcomes of tailoring statin-type based on solute carrier organic anion transporterfamily member 1B1 ( SLCO1B1)pharmacogenetic toxicity information on patient, provider, and pharmacological outcomes are unknown. METHODS: The trial randomized 159 patients not taking statins because of prior statin myalgia 1:1 to receiving SLCO1B1 GIST (Genotype Informed Statin Therapy) versus usual care (UC) and followed for up to 8 months. The UC arm received their SLCO1B1 results post-trial. The primary outcome was statin adherence using the Morisky Medication Adherence Scale, which was assessed in those patients who reinitiated statins. Secondary outcomes assessed in all participants included statin reinitiation and LDLc (low-density lipoprotein cholesterol), within and post-trial. Using commercial laboratory data, serial LDLc were compared between 1907 patients receiving SLCO1B1 testing and propensity-matched, untested controls. RESULTS: Trial participants were 25% SLCO1B1*5 carriers. Statin adherence was similar between arms (Morisky Medication Adherence Scale in GIST versus UC, 6.8±1.5 versus 6.9±1.6, P=0.96). GIST led to more new statin prescriptions (55.4% versus 38.0%, P=0.04) and lower LDLc at 3 months (131.9±42.0 versus 144.4±43.0 mg/dL; P=0.048) with similar magnitude at 8 months (128.6±37.9 versus 141.0±44.4; P=0.12). SLCO1B1*5 carriers exhibited a greater drop in LDLc with GIST versus UC (interaction P=0.048). Post-trial, LDLc decreased in UC participants who crossed over to GIST compared with those allocated to GIST (-14.9±37.8 versus +9.0±37.3 mg/dL, P=0.03). Patients tested for SLCO1B1 though a commercial laboratory had a greater LDLc decrease ( P=0.04) compared with controls. CONCLUSIONS: Delivery of SLCO1B1 pharmacogenetic testing that addresses statin myalgia improved statin reinitiation and LDLc but did not improve self-reported statin adherence. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov . Unique identifier: NCT01894230.

Understanding the cost of dermatologic care: A survey study of dermatology providers, residents, and patients.

BACKGROUND: The American Academy of Dermatology recommends dermatologists understand the costs of dermatologic care. OBJECTIVE: This study sought to measure dermatology providers' understanding of the cost of dermatologic care and how those costs are communicated to patients. We also aimed to understand the perspectives of patients and dermatological trainees on how cost information enters into the care they receive or provide. METHODS: Surveys were systematically developed and distributed to 3 study populations: dermatology providers, residents, and patients. RESULTS: Response rates were over 95% in all 3 populations. Dermatology providers and residents consistently underestimated the costs of commonly recommended dermatologic medications but accurately predicted the cost of common dermatologic procedures. Dermatology patients preferred to know the cost of procedures and medications, even when covered by insurance. In this population, the costs of dermatologic medications frequently interfered with patients' ability to properly adhere to prescribed regimens. LIMITATIONS: The surveyed population was limited to the northwestern United States and findings may not be generalizable. Cost estimations were based on average reimbursement rates, which vary by insurer. CONCLUSION: Improving dermatology providers' awareness and communication of the costs of dermatologic care might enhance medical decision-making, improve adherence and outcomes, and potentially reduce overall health care expenditures.

Thrombophilic risk of individuals with rare compound factor V Leiden and prothrombin G20210A polymorphisms: an international case series of 100 individuals.

The risk of thrombosis in individuals with rare compound thrombophilias, homozygous factor V Leiden (FVL) plus heterozygous prothrombin G20210A (PTM), homozygous PTM plus heterozygous FVL, and homozygous FVL plus homozygous PTM, is unknown. We identified, worldwide, individuals with these compound thrombophilias, predominantly through mailing members of the International Society on Thrombosis and Haemostasis. Physicians were sent a clinical questionnaire. Confirmatory copies of the genetic results were obtained. One hundred individuals were enrolled; 58% were female. Seventy-one individuals had a venous thrombosis (includes superficial and deep vein thrombosis, and pulmonary embolism), 4 had an arterial thrombosis and 6 had both. Nineteen individuals had never had a thrombotic event. Thrombosis-free survival curves demonstrated that 50% of individuals had experienced a thrombotic event by 35 yrs of age, while 50% had a first venous thromboembolic event (VTE; includes all venous thrombosis except superficial thrombosis) by 41 yrs of age; 38.2% of first VTEs were unprovoked. 37% of patients had at least one VTE recurrence. Seventy percent of first pregnancies carried to term and not treated with anticoagulation were thrombosis-free. In conclusion, patients with these rare compound thrombophilias are not exceedingly thrombogenic, even though they have a substantial risk for VTE.

Priorities for comparative effectiveness reviews in cardiovascular disease.

BACKGROUND: Comparative effectiveness reviews offer a systematic method to critically appraise existing research and to identify unaddressed clinical areas in cardiovascular disease where significant morbidity, mortality, and variation in the use of resources persist. To delineate and help select areas where comparative effectiveness reviews are needed, the Effective Health Care Program of the Agency for Healthcare Research and Quality involved stakeholders in prioritization of the research agenda. METHODS AND RESULTS: We involved a diverse panel of stakeholders representing a broad range of clinical, policy, and patient perspectives. To assist in prioritization of topics for evidence synthesis, we created a framework evaluating 12 cardiovascular disease subcategories that reflect American College of Cardiology/American Heart Association disease-based guidelines. We performed an environmental scan for each disease subcategory to populate this framework with existing knowledge, levels of evidence, and degrees of public interest. Through a formalized process, 4 disease subcategories were prioritized: chronic coronary artery disease, ventricular arrhythmias, heart failure, and cerebrovascular disease. Within these subcategories, 11 topics that address the comparative safety and effectiveness of existing treatments and evaluate emerging treatments were nominated by the stakeholder panel to proceed for feasibility assessment before developing comparative effectiveness reviews. CONCLUSIONS: Using a systematic process deriving consensus from multiple stakeholders across cardiovascular disease states, we generated a prioritized list of evidence synthesis topics to inform decision makers. The topics vetted through this process seek to determine the comparative safety and effectiveness of a range of treatments, both established and emerging, and are immediately relevant for prevalent disease states.

Oral contraceptive use for the primary prevention of ovarian cancer.

OBJECTIVE: To estimate the overall balance of harms and benefits from the potential use of oral contraceptives (OCs) for the primary prevention of ovarian cancer DATA SOURCES: We searched PubMed®, Embase®, the Cochrane Database of Systematic Reviews, and ClinicalTrials.gov for English-language studies published from January 1990 to June 2012 that evaluated the potential benefits (reduction in ovarian, colorectal, and endometrial cancers) and harms (increase in breast and cervical cancer, and vascular complications) of OC use. REVIEW METHODS: Two investigators screened each abstract and full-text article for inclusion; the investigators abstracted data, and they performed quality ratings, applicability ratings, and evidence grading. Random-effects models were used to compute summary estimates of effects. A simulation model was used to estimate the effects of OC use on the overall balance of benefits and harms. RESULTS: We reviewed 55 studies relevant to ovarian cancer outcomes, 66 relevant to other cancers, and 50 relevant to vascular events. Ovarian cancer incidence was significantly reduced in OC users (OR [odds ratio], 0.73; 95% CI [confidence interval], 0.66 to 0.81), with greater reductions seen with longer duration of use. Breast cancer incidence was slightly but significantly increased in OC users (OR, 1.08; 95% CI, 1.00 to 1.17), with a significant reduction in risk as time since last use increased. The risk of cervical cancer was significantly increased in women with persistent human papillomavirus infection who used OCs, but heterogeneity prevented a formal meta-analysis. Incidences of both colorectal cancer (OR, 0.86; 95% CI, 0.79 to 0.95) and endometrial cancer (OR, 0.57; 95% CI, 0.43 to 0.76) were significantly reduced by OC use. The risk of vascular events was increased in current OC users compared with nonusers, although the increase in myocardial infarction was not statistically significant. The overall strength of evidence for ovarian cancer prevention was moderate to low, primarily because of the lack of randomized trials and inconsistent reporting of important characteristics of use, such as duration. The simulation model predicted that the combined increase in risk of breast and cervical cancers and vascular events was likely to be equivalent to or greater than the decreased risk in ovarian cancer, although the harm/benefit ratio was much more favorable when protection against endometrial and colorectal cancers was added, resulting in net gains in life expectancy of approximately 1 month. CONCLUSIONS: There is insufficient evidence to recommend for or against the use of OCs solely for the primary prevention of ovarian cancer. Although the net effects of the current patterns of OC use likely result in increased life expectancy when other noncontraceptive benefits are included, the harm/benefit ratio for ovarian cancer prevention alone is uncertain, particularly when the potential quality-of-life impact of breast cancer and vascular events are considered.

Enabling health care decisionmaking through clinical decision support and knowledge management.

OBJECTIVES: To catalogue study designs used to assess the clinical effectiveness of CDSSs and KMSs, to identify features that impact the success of CDSSs/KMSs, to document the impact of CDSSs/KMSs on outcomes, and to identify knowledge types that can be integrated into CDSSs/KMSs. DATA SOURCES: MEDLINE(®), CINAHL(®), PsycINFO(®), and Web of Science(®). REVIEW METHODS: We included studies published in English from January 1976 through December 2010. After screening titles and abstracts, full-text versions of articles were reviewed by two independent reviewers. Included articles were abstracted to evidence tables by two reviewers. Meta-analyses were performed for seven domains in which sufficient studies with common outcomes were included. RESULTS: We identified 15,176 articles, from which 323 articles describing 311 unique studies including 160 reports on 148 randomized control trials (RCTs) were selected for inclusion. RCTs comprised 47.5 percent of the comparative studies on CDSSs/KMSs. Both commercially and locally developed CDSSs effectively improved health care process measures related to performing preventive services (n = 25; OR 1.42, 95% confidence interval [CI] 1.27 to 1.58), ordering clinical studies (n = 20; OR 1.72, 95% CI 1.47 to 2.00), and prescribing therapies (n = 46; OR 1.57, 95% CI 1.35 to 1.82). Fourteen CDSS/KMS features were assessed for correlation with success of CDSSs/KMSs across all endpoints. Meta-analyses identified six new success features: Integration with charting or order entry system. Promotion of action rather than inaction. No need for additional clinician data entry. Justification of decision support via research evidence. Local user involvement. Provision of decision support results to patients as well as providers. Three previously identified success features were confirmed: Automatic provision of decision support as part of clinician workflow. Provision of decision support at time and location of decisionmaking. Provision of a recommendation, not just an assessment. Only 29 (19.6%) RCTs assessed the impact of CDSSs on clinical outcomes, 22 (14.9%) assessed costs, and 3 assessed KMSs on any outcomes. The primary source of knowledge used in CDSSs was derived from structured care protocols. CONCLUSIONS: Strong evidence shows that CDSSs/KMSs are effective in improving health care process measures across diverse settings using both commercially and locally developed systems. Evidence for the effectiveness of CDSSs on clinical outcomes and costs and KMSs on any outcomes is minimal. Nine features of CDSSs/KMSs that correlate with a successful impact of clinical decision support have been newly identified or confirmed.

Effect of clinical decision-support systems: a systematic review.

BACKGROUND: Despite increasing emphasis on the role of clinical decision-support systems (CDSSs) for improving care and reducing costs, evidence to support widespread use is lacking. PURPOSE: To evaluate the effect of CDSSs on clinical outcomes, health care processes, workload and efficiency, patient satisfaction, cost, and provider use and implementation. DATA SOURCES: MEDLINE, CINAHL, PsycINFO, and Web of Science through January 2011. STUDY SELECTION: Investigators independently screened reports to identify randomized trials published in English of electronic CDSSs that were implemented in clinical settings; used by providers to aid decision making at the point of care; and reported clinical, health care process, workload, relationship-centered, economic, or provider use outcomes. DATA EXTRACTION: Investigators extracted data about study design, participant characteristics, interventions, outcomes, and quality. DATA SYNTHESIS: 148 randomized, controlled trials were included. A total of 128 (86%) assessed health care process measures, 29 (20%) assessed clinical outcomes, and 22 (15%) measured costs. Both commercially and locally developed CDSSs improved health care process measures related to performing preventive services (n= 25; odds ratio [OR], 1.42 [95% CI, 1.27 to 1.58]), ordering clinical studies (n= 20; OR, 1.72 [CI, 1.47 to 2.00]), and prescribing therapies (n= 46; OR, 1.57 [CI, 1.35 to 1.82]). Few studies measured potential unintended consequences or adverse effects. LIMITATIONS: Studies were heterogeneous in interventions, populations, settings, and outcomes. Publication bias and selective reporting cannot be excluded. CONCLUSION: Both commercially and locally developed CDSSs are effective at improving health care process measures across diverse settings, but evidence for clinical, economic, workload, and efficiency outcomes remains sparse. This review expands knowledge in the field by demonstrating the benefits of CDSSs outside of experienced academic centers. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality.