Association between Covid-19 sources of information, beliefs, and vaccination rates: an EU-wide survey.

BACKGROUND: Misinformation hampers vaccine uptake. The European Union (EU) employed a coordinated effort to curb misinformation during the Covid-19 pandemic. In this context, we investigated relationships between sources of information, vaccine safety/effectiveness, satisfaction with government vaccination strategy, and vaccination intent. METHODS: We used cross-sectional survey data (May 2021) from Flash Eurobarometer 494, a population-adjusted dataset comprised of a representative sample of those ≥15 years from 27 EU nations. We employed a latent class analysis to create clusters of information sources as the independent variable and beliefs in vaccine safety/efficacy, satisfaction with government vaccination strategy, and vaccine intent as four outcome variables. We first estimated the association between source clusters and each of the first three outcomes separately. Then, using these three as intermediate variables, we employed structural equation modeling to estimate the relationship between sources and vaccine intent. We adjusted for individual and country-level variables. RESULTS: Among 23 012 respondents, four clusters of information sources emerged: (1) national authorities/health professionals (n = 9602; 42%), (2) mostly health professionals (6184; 27%), (3) mixed (n = 1705; 17%) and (4) social media/family/friends (n = 5524; 24%). Using cluster (3) as the referent, we found decreasing odds of beliefs in vaccine safety/effectiveness, satisfaction and vaccine intent across clusters (1), (2) and (4), respectively. Demographics played a role. CONCLUSION: In the context of the Covid pandemic, these results provide the first EU-wide estimates of the association between sources of information about vaccine safety/effectiveness, satisfaction and vaccine intent. The coordinated approach promulgated by the EU to minimize misinformation provides a model for managing future pandemics.

Exploring Providers' Perception to Naloxone Education for Opioid Overdose After Receiving Academic Detailing at the U.S. Department of Veterans Affairs.

Introduction: The U.S. Department of Veterans Affairs (VA), in partnership with the Opioid Overdose Education and Naloxone Distribution (OEND) Program, implemented the National Academic Detailing Service to deliver naloxone education to providers with patients at-risk for opioid-related overdose. Methods: We administered a 26-item online survey to VA providers to explore their perceptions about prescribing naloxone for opioid overdose emergencies and their experience with academic detailing between August 2017 and April 2018. Responses were analyzed using descriptive statistics to (1) explore their current perceptions of naloxone prescribing and their experience with academic detailing, (2) identify differences across provider types [primary care providers (PCP), specialists, and others], and (3) assess perceived naloxone prescribing behavior change after an academic detailing visit. Results: Providers (N = 137) indicated that they were practicing at a level that was consistent with VA goals to promote take-home naloxone to reverse opioid-related overdose events. Average domain scores were similar across PCP, specialist, and other provider types. Specialists reported a higher average attitude domain score (+.56, P = .011) and perceived barriers domain score (+.82, P = .009) than PCPs. Most providers agreed that they prescribed naloxone more frequently due to academic detailing (53%) and indicated that they synthesized information from the academic detailer to change their naloxone prescribing practice (60%). Discussion: VA providers' perceptions of take-home naloxone were aligned with current evidence-based practice. Moreover, providers reported increasing their naloxone prescribing and synthesizing OEND-related information after an academic detailing interaction. Understanding providers' perceptions can be used to improve and enhance the academic detailing program's effectiveness.

Patient-centred outcomes of imaging tests: recommendations for patients, clinicians and researchers.

BACKGROUND: Imaging tests are one of the most frequently used diagnostic modalities in healthcare, but the benefits of their direct impacts on clinical decision-making have been countered by concerns that they can be overused. Assessing the relative value of imaging tests has largely focused on measures of test accuracy, which overlooks more comprehensive benefits and risks of imaging tests, particularly their impact on patient-centred outcomes (PCOs). We present the findings of the Patient Reported Outcomes of Diagnostics (PROD) research study in response to a methodological gap in the area of diagnostic test comparative effectiveness research. METHODS: Over a 3-year period, the PROD Study engaged with multiple stakeholders to identify existing conceptual models related to PCOs for imaging testing, conducted primary research and evidence synthesis, and developed consensus recommendations to describe and categorise PCOs related to imaging testing. RESULTS: The PROD framework categorises PCOs from imaging studies within four main domains: information or knowledge yielded, physical impact, emotional outcomes and test burden. PCOs interact with each other and influence effects across domains, and can be modified by factors related to the patient, clinical situation, healthcare team and the testing environment. CONCLUSIONS: Using PCOs to inform healthcare decision-making will require ways of collating and presenting information on PCOs in ways that can inform patient-provider decision-making, and developing methods to determine the relative importance of outcomes (including test accuracy) to one another.

Communication Training, Adverse Events, and Quality Measures: 2 Retrospective Database Analyses in Washington State Hospitals.

OBJECTIVE: Washington State's HealthPact program was launched in 2011 as part of AHRQ's Patient Safety and Medical Liability Reform initiative. HealthPact delivered interdisciplinary communication training to health-care professionals with the goal of enhancing safety. We conducted 2 exploratory, retrospective database analyses to investigate training impact on the frequency of adverse events (AEs) and select quality measures across 3 time frames: pretraining (2009-2011), transition (2012), and posttraining (2013). METHODS: Using administrative data from Washington State's Comprehensive Hospital Abstract Reporting System (CHARS) and clinical registry data from the Surgical Care and Outcomes Assessment Program (SCOAP), we compared proportions of AEs and quality measures between HealthPact (n = 4) and non-HealthPact (n = 93-CHARS; n = 48-SCOAP) participating hospitals. Risk ratios enabled comparisons between the 2 groups. Multivariable logistic regression enabled investigation of the association between training and the frequency of AEs. RESULTS: Approximately 9.4% (CHARS) and 7.7% (SCOAP) of unique patients experienced 1 AE or greater. In CHARS, the odds of a patient experiencing an AE in a HealthPact hospital were initially (pretraining) higher than in a non-HealthPact hospital (odds ratio [OR], 1.13; 95% confidence interval [CI], 1.10-1.17), lower in transition (OR, 0.80; 95% CI, 0.76-0.83) and posttraining (OR, 0.72; 95% CI, 0.69-0.75) periods. In SCOAP, ORs were consistently lower in HealthPact hospitals: pretraining (OR, 0.87; 95% CI, 0.80-0.95), transition (OR, 0.75; 95% CI, 0.70-0.81), and posttraining (OR, 0.63; 95% CI, 0.58-0.68). The proportion of at-risk patients that experienced each individual AE was low (<1%) throughout. Adherence to quality measures was high. CONCLUSIONS: Interprofessional communication training is an area of intense activity nationwide. A broad-based training initiative may play a role in mitigating AEs.

Microvascular Benefits of New Antidiabetic Agents: A Systematic Review and Network Meta-Analysis of Kidney Outcomes.

CONTEXT: Diabetic kidney disease affects nearly one-third of US adults with prevalent type 2 diabetes mellitus (T2DM). The use of new antidiabetic medications in the prevention and treatment of diabetic kidney disease is a growing area of research interest. OBJECTIVE: We sought to characterize the risk of developing a composite kidney outcome among patients receiving a new antidiabetic medication of the SGLT-2i, GLP-1ra, and DPP-4i drug classes. METHODS: We conducted a systematic literature search in MEDLINE to identify randomized trials observing kidney safety endpoints associated with the use of new antidiabetic medications. Two independent reviewers selected the 7 eligible studies for analysis. Included studies were published between January 2013 and March 2020, conducted with adult participantss, published full-text in English, and observed composite kidney outcomes. A network meta-analysis was conducted within a Bayesian framework using a fixed-effects model with uninformative priors. RESULTS: A qualitative assessment of transitivity was conducted to ensure similar distribution of potential modifiers across studies. Included studies were generally comparable in mean age, glycated hemoglobin A1c (HbA1c), and mean duration of T2DM at baseline. MAIN CONCLUSIONS: Compared with placebo, dapagliflozin was associated with the greatest reduction in risk of developing the composite kidney outcome (hazard ratio 0.53; 95% credible interval, 0.43-0.66) followed by empagliflozin, canagliflozin, semaglutide, and liraglutide. Linagliptin did not show a significant reduction in risk of the outcome. LIMITATIONS: This analysis was limited by the scarcity of data for kidney safety endpoints in large, randomized clinical trials. Although the heterogeneity statistic was low, there are slight differences in study design and baseline demographic characteristics across trials.

Providers' perceptions on barriers and facilitators to prescribing naloxone for patients at risk for opioid overdose after implementation of a national academic detailing program: A qualitative assessment.

BACKGROUND: Academic detailing is an educational outreach program that aligns providers' prescribing with evidence-based practice. The U.S. Department of Veterans Affairs (VA) Opioid Overdose Education and Naloxone Distribution (OEND) Program partnered with the VA Pharmacy Benefits Management National Academic Detailing Service to deliver naloxone education to providers who cared for patients at risk of opioid overdose. In this pilot study, we interviewed providers' who received academic detailing to capture their perceptions of facilitators and barriers to prescribing naloxone. OBJECTIVE: To identify providers' perceptions of facilitators and barriers to prescribing naloxone for patients at risk for opioid overdose after implementation of a national academic detailing program. METHODS: This was a hybrid inductive-deductive qualitative pilot using semi-structured interviews with VA providers to explore constructs associated with facilitators and barriers to prescribing take-home naloxone to patients at risk for opioid overdose from August 2017 to April 2018. RESULTS: Eleven participants were interviewed, six physicians, three clinical psychiatric pharmacists, and two nurse practitioners. Participants identified patient-level barriers (social stigma and lack of homeless patient support), poor data integration, and burden of data validation as barriers to prescribing naloxone. However, they also identified patient lists, repeat visits, and face-to-face/one-on-one video conferencing visits as important facilitators for naloxone prescribing. CONCLUSIONS/IMPORTANCE: Academic detailing will need to address issues of social stigma regarding naloxone, educate providers about existing support systems for homeless veterans, and develop tools for data integration to improve naloxone access for veterans at risk for an opioid overdose.

Implementation evaluation of academic detailing on naloxone prescribing trends at the United States Veterans Health Administration.

OBJECTIVE: Academic detailing in partnership with the Opioid Overdose Education and Naloxone Distribution (OEND) program was implemented to increase naloxone access for the prevention of opioid overdose mortality in veterans at the U.S. Department of Veterans Affairs (VA). However, implementation was not uniform leading to varying levels of intervention exposure potentially impacting naloxone prescribing. We examined the impact of implementation strength (proportion of providers exposed to academic detailing) at each station on naloxone prescribing from September 2014 to December 2017. STUDY DESIGN AND SETTING: Retrospective cohort design with fixed effects models at the VA. DATA COLLECTION/EXTRACTION METHODS: We used VA Corporate Data Warehouse for data on pharmacy dispensing, station-, provider- and patient-level characteristics. OEND-specific academic detailing activities came from data recorded by academic detailers using Salesforce.com. PRINCIPAL FINDINGS: VA stations wherein 100 percent of providers exposed to an OEND-related academic detailing educational outreach visit experienced an increased incident rate of naloxone prescribing that was 5.52 times the incident rate of stations where no providers were exposed; alternatively, this is equivalent to an average monthly increase of 2.60 naloxone prescriptions per 1000 population at risk for opioid overdose. CONCLUSIONS: Our findings highlight the importance of academic detailing's implementation strength on naloxone prescribing. Decision makers must carefully consider the implementation process to achieve the greatest effectiveness from the intervention.

Automating Electronic Clinical Data Capture for Quality Improvement and Research: The CERTAIN Validation Project of Real World Evidence.

BACKGROUND: The availability of high fidelity electronic health record (EHR) data is a hallmark of the learning health care system. Washington State's Surgical Care Outcomes and Assessment Program (SCOAP) is a network of hospitals participating in quality improvement (QI) registries wherein data are manually abstracted from EHRs. To create the Comparative Effectiveness Research and Translation Network (CERTAIN), we semi-automated SCOAP data abstraction using a centralized federated data model, created a central data repository (CDR), and assessed whether these data could be used as real world evidence for QI and research. OBJECTIVES: Describe the validation processes and complexities involved and lessons learned. METHODS: Investigators installed a commercial CDR to retrieve and store data from disparate EHRs. Manual and automated abstraction systems were conducted in parallel (10/2012-7/2013) and validated in three phases using the EHR as the gold standard: 1) ingestion, 2) standardization, and 3) concordance of automated versus manually abstracted cases. Information retrieval statistics were calculated. RESULTS: Four unaffiliated health systems provided data. Between 6 and 15 percent of data elements were abstracted: 51 to 86 percent from structured data; the remainder using natural language processing (NLP). In phase 1, data ingestion from 12 out of 20 feeds reached 95 percent accuracy. In phase 2, 55 percent of structured data elements performed with 96 to 100 percent accuracy; NLP with 89 to 91 percent accuracy. In phase 3, concordance ranged from 69 to 89 percent. Information retrieval statistics were consistently above 90 percent. CONCLUSIONS: Semi-automated data abstraction may be useful, although raw data collected as a byproduct of health care delivery is not immediately available for use as real world evidence. New approaches to gathering and analyzing extant data are required.

Empowering genomic medicine by establishing critical sequencing result data flows: the eMERGE example.

The eMERGE Network is establishing methods for electronic transmittal of patient genetic test results from laboratories to healthcare providers across organizational boundaries. We surveyed the capabilities and needs of different network participants, established a common transfer format, and implemented transfer mechanisms based on this format. The interfaces we created are examples of the connectivity that must be instantiated before electronic genetic and genomic clinical decision support can be effectively built at the point of care. This work serves as a case example for both standards bodies and other organizations working to build the infrastructure required to provide better electronic clinical decision support for clinicians.

Nine years of comparative effectiveness research education and training: initiative supported by the PhRMA Foundation.

The term comparative effectiveness research (CER) took center stage with passage of the American Recovery and Reinvestment Act (2009). The companion US$1.1 billion in funding prompted the launch of initiatives to train the scientific workforce capable of conducting and using CER. Passage of the Patient Protection and Affordable Care Act (2010) focused these initiatives on patients, coining the term 'patient-centered outcomes research' (PCOR). Educational and training initiatives were soon launched. This report describes the initiative of the Pharmaceutical Research and Manufacturers Association of America (PhRMA) Foundation. Through provision of grant funding to six academic Centers of Excellence, to spearheading and sponsoring three national conferences, the PhRMA Foundation has made significant contributions to creation of the scientific workforce that conducts and uses CER/PCOR.

Adherence and Persistence Across Antidepressant Therapeutic Classes: A Retrospective Claims Analysis Among Insured US Patients with Major Depressive Disorder (MDD).

BACKGROUND: Adherence and persistence to therapy, or how well a patient follows provider directions on frequency and time to discontinuation of prescribed medications, is associated with positive health outcomes, including decreased healthcare costs and patient mortality. A clear literature gap exists assessing adherence and persistence to antidepressants (ADs) in the major depressive disorder (MDD) population at clinically relevant time points and at the therapeutic class level. OBJECTIVE: This study assessed adherence and persistence to specific ADs, therapeutic classes, and AD therapy overall at multiple time points among US individuals from commercial, Medicare supplemental, and Medicaid insurance plans. METHODS: Patients with MDD without AD or MDD claims in the prior 6 months who initiated therapy in 2003-2014 with a selective serotonin reuptake inhibitor (SSRI), serotonin and norepinephrine reuptake inhibitor (SNRI), tricyclic AD (TCA), monoamine oxidase inhibitor (MAOI), or other AD were identified using MarketScan® databases. These databases contain information on diagnoses, billing codes, and dates of service. Adherence (proportion of days covered) and persistence (days until a 30-day gap in therapy) were calculated to AD medication, AD therapeutic class, and AD therapy overall over the first 3, 6, 9, and 12 months from the index prescription date. Multivariable logistic regression estimated the adjusted odds ratios (ORs) of adherence to initial AD medication comparing AD therapeutic classes. RESULTS: For 527,907 patients, adherence to initial AD medication decreased over 3, 6, 9, and 12 months (41, 31, 24, and 21%, respectively). Similar patterns were observed for adherence to initial AD therapeutic class, AD therapy overall, and all three persistence calculations. The odds of adherence to SNRIs versus SSRIs were 20-27% greater at 3, 6, 9, and 12 months (ORs 1.20, 1.23, 1.25, 1.27, respectively; p-values all <0.0001). Similar or significantly lower odds of adherence were demonstrated for other classes versus SSRIs at 3, 6, 9, and 12 months [ORs for other ADs 0.80, 0.77, 0.74, 0.72, respectively (p-values all <0.0001); ORs for TCAs 0.46, 0.45, 0.47, 0.49, respectively (p-values all <0.0001); ORs for MAOIs 1.13, 1.0, 0.77, 0.69, respectively (p-values all >0.05)]. CONCLUSION: We found low adherence and persistence to ADs in the MDD population. Within the limitations of the insurance claims data we analysed, our results suggest that adherence may differ based on therapeutic class, as patients initiating SNRI therapy appeared to have a higher likelihood of adherence versus SSRIs over the year assessed, while the odds of adherence appeared similar or lower for other classes versus SSRIs. Further prospective research is needed to confirm these findings and determine additional drivers of these apparent differences by AD therapeutic class.

Characterizing Health Care Utilization, Direct Costs, and Comorbidities Associated with Interstitial Cystitis: A Retrospective Claims Analysis.

BACKGROUND: Interstitial cystitis (IC) is a debilitating condition that affects up to 5% of the U.S. POPULATION: This condition is characterized by bladder pain, urinary urgency and frequency, nocturia, and, in some patients, bladder lesions called Hunner's lesions (HL). IC patients who have HL experience a clinical course that is distinct from those without HL and, as a result, respond differently to existing treatments. Without effective and lasting therapeutic options, IC patients are expected to experience a reduced quality of life and be a significant economic burden. Previous research describing the burden of IC is not only outdated but lacks stratification by HL. OBJECTIVES: To (a) characterize health care utilization, direct costs, and comorbidities associated with IC and (b) elucidate differences between patients with and without HL. METHODS: A retrospective analysis was conducted using health care claims from the Truven Health MarketScan Research Databases. Adults with an incident IC diagnosis between 2009 and 2014 were identified and matched 1:4 to non-IC patients on age, gender, and geographic region. Health care utilization, direct costs, and comorbidities during the first 12 months after diagnosis were compared between the 2 groups, as well as between IC subgroups with and without HL. Associations were evaluated after adjustment for potential confounders using regression models. RESULTS: A total of 24,836 IC patients were identified and matched to 99,344 non-IC patients. Patients were predominantly female (92%), with a mean age of 49.0 (SD = 15.3) years. IC patients used significantly more health care resources across all categories compared with non-IC patients. On average, having IC was associated with $7,223 higher total health care costs than not having IC (95% CI = $6,650-$7,796), with outpatient costs contributing to 71% of the difference, after adjusting for baseline age, gender, region, insurance type, plan type, and Charlson Comorbidity Index (CCI) score. The odds of developing select comorbidities were 2.61 times greater in IC patients compared with non-IC patients (95% CI = 2.52-2.70), adjusting for baseline age, sex, region, and CCI score. Among IC patients, the HL subgroup (n = 292) used more health care resources, and having HL was associated with $6,895 higher total health care costs compared with not having HL (95% CI = $3,770-$10,020) after adjusting for baseline age, gender, region, insurance type, and plan type. CONCLUSIONS: Findings suggest that patients with IC have significantly higher health care utilization, costs, and comorbidities compared with non-IC patients. This economic burden is further amplified in those with HL. DISCLOSURES: Funding for this study was contributed by Allergan. Tung was supported by a training grant from Allergan at the time of this study. Hepp was an Allergan employee at the time this study was conducted. The other authors have nothing to disclose. This research was previously presented, in part, as a poster presentation at the International Society for Pharmacoeconomics and Outcomes Research 21st Annual International Meeting; Washington, DC; May 23, 2016. Study concept and design were primarily contributed by Hepp, along with Tung and Devine. Tung took the lead in data collection, with assistance from Hepp, and data interpretation was performed by Tung, along with Bansal and Devine. The manuscript was prepared primarily by Tung, along with Devine, Bansal, and Hepp.

Health Information Exchange Use (1990-2015): A Systematic Review.

BACKGROUND: In June 2014, the Office of the National Coordinator for Health Information Technology published a 10-year roadmap for the United States to achieve interoperability of electronic health records (EHR) by 2024. A key component of this strategy is the promotion of nationwide health information exchange (HIE). The 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act provided significant investments to achieve HIE. OBJECTIVE: We conducted a systematic literature review to describe the use of HIE through 2015. METHODS: We searched MEDLINE, PsycINFO, CINAHL, and Cochrane databases (1990 - 2015); reference lists; and tables of contents of journals not indexed in the databases searched. We extracted data describing study design, setting, geographic location, characteristics of HIE implementation, analysis, follow-up, and results. Study quality was dual-rated using pre-specified criteria and discrepancies resolved through consensus. RESULTS: We identified 58 studies describing either level of use or primary uses of HIE. These were a mix of surveys, retrospective database analyses, descriptions of audit logs, and focus groups. Settings ranged from community-wide to multinational. Results suggest that HIE use has risen substantially over time, with 82% of non-federal hospitals exchanging information (2015), 38% of physician practices (2013), and 17-23% of long-term care facilities (2013). Statewide efforts, originally funded by HITECH, varied widely, with a small number of states providing the bulk of the data. Characteristics of greater use include the presence of an EHR, larger practice size, and larger market share of the health-system. CONCLUSIONS: Use of HIE in the United States is growing but is still limited. Opportunities remain for expansion. Characteristics of successful implementations may provide a path forward.

Persistence and switching patterns of oral migraine prophylactic medications among patients with chronic migraine: A retrospective claims analysis.

Background Migraine prevention guidelines recommend oral prophylactic medications for patients with frequent headache. This study examined oral migraine preventive medication (OMPM) treatment patterns by evaluating medication persistence, switching, and re-initiation in patients with chronic migraine (CM). Methods A retrospective US claims analysis (Truven Health MarketScan® Databases) evaluated patients ≥18 years old diagnosed with CM who had initiated an OMPM between 1 January, 2008 and 30 September, 2012. Treatment persistence was measured at six and 12 months' follow-up. Time-to-discontinuation was assessed for each OMPM and compared using Cox regression models. Among those who discontinued, the proportion that switched OMPMs within 60 days or re-initiated treatment between 61 to 365 days, and their associated persistence rates, were also assessed. Results A total of 8707 patients met the inclusion/exclusion criteria. Persistence to the initial OMPM was 25% at six months and 14% at 12 months. Based on Kaplan-Meier curves, a sharp decline of patients discontinuing was observed by 30 days, and approximately half discontinued by 60 days. Similar trends in time-to-discontinuation were seen following the second or third OMPM. Amitriptyline, gabapentin, and nortriptyline had significantly higher likelihood of non-persistence compared with topiramate. Among patients who discontinued, 23% switched to another prophylactic and 41% re-initiated therapy within one year. Among patients who switched, persistence was between 10 to 13% and among re-initiated patients, persistence was between 4 to 8% at 12 months. Conclusions Persistence to OMPMs is poor at six months and declines further by 12 months. Switching between OMPMs is common, but results indicate that persistence worsens as patients cycle through various OMPMs.

Making pharmacogenomic-based prescribing alerts more effective: A scenario-based pilot study with physicians.

To facilitate personalized drug dosing (PDD), this pilot study explored the communication effectiveness and clinical impact of using a prototype clinical decision support (CDS) system embedded in an electronic health record (EHR) to deliver pharmacogenomic (PGx) information to physicians. We employed a conceptual framework and measurement model to access the impact of physician characteristics (previous experience, awareness, relative advantage, perceived usefulness), technology characteristics (methods of implementation-semi-active/active, actionability-low/high) and a task characteristic (drug prescribed) on communication effectiveness (usefulness, confidence in prescribing decision), and clinical impact (uptake, prescribing intent, change in drug dosing). Physicians performed prescribing tasks using five simulated clinical case scenarios, presented in random order within the prototype PGx-CDS system. Twenty-two physicians completed the study. The proportion of physicians that saw a relative advantage to using PGx-CDS was 83% at the start and 94% at the conclusion of our study. Physicians used semi-active alerts 74-88% of the time. There was no association between previous experience with, awareness of, and belief in a relative advantage of using PGx-CDS and improved uptake. The proportion of physicians reporting confidence in their prescribing decisions decreased significantly after using the prototype PGx-CDS system (p=0.02). Despite decreases in confidence, physicians perceived a relative advantage to using PGx-CDS, viewed semi-active alerts on most occasions, and more frequently changed doses toward doses supported by published evidence. Specifically, sixty-five percent of physicians reduced their dosing, significantly for capecitabine (p=0.002) and mercaptopurine/thioguanine (p=0.03). These findings suggest a need to improve our prototype such that PGx CDS content is more useful and delivered in a way that improves physician's confidence in their prescribing decisions. The greatest increases in communication effectiveness and clinical impact of PGx-CDS are likely to be realized through continued focus on content, content delivery, and tailoring to physician characteristics.

Applying quantitative benefit-risk analysis to aid regulatory decision making in diagnostic imaging: methods, challenges, and opportunities.

RATIONALE AND OBJECTIVES: Health agencies making regulatory marketing-authorization decisions use qualitative and quantitative approaches to assess expected benefits and expected risks associated with medical interventions. There is, however, no universal standard approach that regulatory agencies consistently use to conduct benefit-risk assessment (BRA) for pharmaceuticals or medical devices, including for imaging technologies. Economics, health services research, and health outcomes research use quantitative approaches to elicit preferences of stakeholders, identify priorities, and model health conditions and health intervention effects. MATERIALS AND METHODS: Challenges to BRA in medical devices are outlined, highlighting additional barriers in radiology. Three quantitative methods--multi-criteria decision analysis, health outcomes modeling and stated-choice survey--are assessed using criteria that are important in balancing benefits and risks of medical devices and imaging technologies. RESULTS: To be useful in regulatory BRA, quantitative methods need to: aggregate multiple benefits and risks, incorporate qualitative considerations, account for uncertainty, and make clear whose preferences/priorities are being used. Each quantitative method performs differently across these criteria and little is known about how BRA estimates and conclusions vary by approach. While no specific quantitative method is likely to be the strongest in all of the important areas, quantitative methods may have a place in BRA of medical devices and radiology. DISCUSSION: Quantitative BRA approaches have been more widely applied in medicines, with fewer BRAs in devices. Despite substantial differences in characteristics of pharmaceuticals and devices, BRA methods may be as applicable to medical devices and imaging technologies as they are to pharmaceuticals. Further research to guide the development and selection of quantitative BRA methods for medical devices and imaging technologies is needed.

Cost-effectiveness of a computerized provider order entry system in improving medication safety ambulatory care.

BACKGROUND: Computerized provider order entry (CPOE) is the process of entering physician orders directly into an electronic health record. Although CPOE has been shown to improve medication safety and reduce health care costs, these improvements have been demonstrated largely in the inpatient setting; the cost-effectiveness in the ambulatory setting remains uncertain. OBJECTIVE: The objective was to estimate the cost-effectiveness of CPOE in reducing medication errors and adverse drug events (ADEs) in the ambulatory setting. METHODS: We created a decision-analytic model to estimate the cost-effectiveness of CPOE in a midsized (400 providers) multidisciplinary medical group over a 5-year time horizon- 2010 to 2014-the time frame during which health systems are implementing CPOE to meet Meaningful Use criteria. We adopted the medical group's perspective and utilized their costs, changes in efficiency, and actual number of medication errors and ADEs. One-way and probabilistic sensitivity analyses were conducted. Scenario analyses were explored. RESULTS: In the base case, CPOE dominated paper prescribing, that is, CPOE cost $18 million less than paper prescribing, and was associated with 1.5 million and 14,500 fewer medication errors and ADEs, respectively, over 5 years. In the scenario that reflected a practice group of five providers, CPOE cost $265,000 less than paper prescribing, was associated with 3875 and 39 fewer medication errors and ADEs, respectively, over 5 years, and was dominant in 80% of the simulations. CONCLUSIONS: Our model suggests that the adoption of CPOE in the ambulatory setting provides excellent value for the investment, and is a cost-effective strategy to improve medication safety over a wide range of practice sizes.

Usability evaluation of pharmacogenomics clinical decision support aids and clinical knowledge resources in a computerized provider order entry system: a mixed methods approach.

BACKGROUND: Pharmacogenomics (PGx) is positioned to have a widespread impact on the practice of medicine, yet physician acceptance is low. The presentation of context-specific PGx information, in the form of clinical decision support (CDS) alerts embedded in a computerized provider order entry (CPOE) system, can aid uptake. Usability evaluations can inform optimal design, which, in turn, can spur adoption. OBJECTIVES: The study objectives were to: (1) evaluate an early prototype, commercial CPOE system with PGx-CDS alerts in a simulated environment, (2) identify potential improvements to the system user interface, and (3) understand the contexts under which PGx knowledge embedded in an electronic health record is useful to prescribers. METHODS: Using a mixed methods approach, we presented seven cardiologists and three oncologists with five hypothetical clinical case scenarios. Each scenario featured a drug for which a gene encoding drug metabolizing enzyme required consideration of dosage adjustment. We used Morae(®) to capture comments and on-screen movements as participants prescribed each drug. In addition to PGx-CDS alerts, 'Infobutton(®)' and 'Evidence' icons provided participants with clinical knowledge resources to aid decision-making. RESULTS: Nine themes emerged. Five suggested minor improvements to the CPOE user interface; two suggested presenting PGx information through PGx-CDS alerts using an 'Infobutton' or 'Evidence' icon. The remaining themes were strong recommendations to provide succinct, relevant guidelines and dosing recommendations of phenotypic information from credible and trustworthy sources; any more information was overwhelming. Participants' median rating of PGx-CDS system usability was 2 on a Likert scale ranging from 1 (strongly agree) to 7 (strongly disagree). CONCLUSIONS: Usability evaluation results suggest that participants considered PGx information important for improving prescribing decisions; and that they would incorporate PGx-CDS when information is presented in relevant and useful ways.