Dual-energy CT iodine overlay improves efficiency of oral contrast leak assessment.

BACKGROUND: Evaluation for gastrointestinal leak is a frequent imaging indication, and dual-energy computed tomography (DECT) with oral or rectally administered contrast can be used to improve efficiency and diagnostic confidence. PURPOSE: To assess the value of the DECT iodine overlay (IO) reconstruction as a stand-alone image set compared to routine CT in assessing oral or rectal contrast leak from the gastrointestinal system. MATERIAL AND METHODS: A blinded, retrospective audit study was performed by three readers who each interpreted 50 studies performed for assessment of oral or rectal contrast leak that were acquired using DECT. Each reader independently assessed both the routine CT images and the images of the reconstructed IO for contrast leak in random order with a six-week "wash-out period" between readings. Clinical follow-up provided the reference standard. Readers recorded the presence/absence of a leak, diagnostic confidence, image quality score, and interpretation time for each image set. RESULTS: Pooled data for overall accuracy in identification of a leak increased from 0.81 (95% confidence interval [CI]=0.74-0.87) for routine CT to 0.91 (95% CI=0.85-0.95) with IO, and the area under the curve (AUC) was significantly higher for IO than routine CT (P = 0.015). Readers required significantly less time to interpret IO than routine CT (median improvement of 12.5 s per image using pooled data; P < 0.001) while maintaining diagnostic confidence and perceived image quality. CONCLUSION: Use of DECT IO reconstructions for identification of oral or rectal contrast leak requires less time to interpret than routine CT with improved accuracy and maintained diagnostic confidence and perceived image quality.

Development and Initial Use of an Evidence-Based Home Blood Pressure Monitoring mHealth Platform.

Home blood pressure monitoring (HBPM) has been shown to provide a more reliable assessment of blood pressure (BP) than in-office measurement and may lead to improved BP control. While many mHealth apps are available to help users track their blood pressure (BP), no apps incorporate the full set of evidence-based HBPM recommendations for ensuring accurate measurement at home. Through an agile development approach employing user stories, we translated an evidence-based standardized protocol for BP measurement and monitoring over a recommended 3-7 day monitoring period into a mHealth app and corresponding clinician portal. We then pilot tested this platform to assess its feasibility for guiding users to measure BP over multiple days according to this protocol. During this pilot testing, one hundred and twenty five users created an app account; 75 (60.0%) of these users recorded at least one BP reading and 47 (37.6%) completed at least one monitoring period. Through this work, we have demonstrated how a series of guidelines can be systematically translated into a mHealth platform for HBPM. Such platforms may be accessible resources to facilitate standardized HBPM and sharing of readings with providers.

Translating CKD Research into Primary Care Practice: a Group-Randomized Study.

BACKGROUND: Chronic kidney disease (CKD) is common in the primary care setting. Early interventions may prevent progression of renal disease and reduce risk for cardiovascular complications, yet quality gaps have been documented. Successful approaches to improve identification and management of CKD in primary care are needed. OBJECTIVE: To assess whether implementation of a primary care improvement model results in improved identification and management of CKD DESIGN: 18-month group-randomized study PARTICIPANTS: 21 primary care practices in 13 US states caring for 107,094 patients INTERVENTIONS: To promote implementation of CKD improvement strategies, intervention practices received clinical quality measure (CQM) reports at least quarterly, hosted an on-site visit and 2 webinars, and sent clinician/staff representatives to a "best practice" meeting. Control practices received CQM reports at least quarterly. MAIN MEASURES: Changes in practice adherence to a set of 11 CKD CQMs KEY RESULTS: We observed significantly greater improvements among intervention practices for annual screening for albuminuria in patients with diabetes or hypertension (absolute change 22% in the intervention group vs. - 2.6% in the control group, p < 0.0001) and annual monitoring for albuminuria in patients with CKD (absolute change 21% in the intervention group vs. - 2.0% in the control group, p < 0.0001). Avoidance of NSAIDs in patients with CKD declined in both intervention and control groups, with a significantly greater decline in the control practices (absolute change - 5.0% in the intervention group vs. - 10% in the control group, p < 0.0001). There were no other significant changes found for the other CQMs. Variable implementation of CKD improvement strategies was noted across the intervention practices. CONCLUSIONS: Implementation of a primary care improvement model designed to improve CKD identification and management resulted in significantly improved care on 3 out of 11 CQMs. Incomplete adoption of improvement strategies may have limited further improvement. Improving CKD identification and management likely requires a longer and more intensive intervention.

Use of Clinical Decision Support to Improve Primary Care Identification and Management of Chronic Kidney Disease (CKD).

BACKGROUND: Early detection of chronic kidney disease (CKD) can lead to interventions to prevent renal failure and reduce risk for cardiovascular disease, yet adherence to treatment goals is suboptimal in the primary care setting. The purpose of this study was to assess whether clinical decision support (CDS) can be used to improve the identification and management of CKD. METHODS: This 2 year demonstration study was conducted in 11 primary care PPRNet practices. CDS included a risk assessment tool, health maintenance protocols, flow chart and a patient registry. Practices received performance reports and hosted annual half day on-site visits. RESULTS: There were statistically significant increases in screening for albuminuria (median 24 month change 30%, p < 0.0005) and monitoring albuminuria (median 24 month change 25%, p < 0.0005). An absolute 23.5% improvement in appropriate use of ACE-inhibitor or angiotensin receptor blocker and an absolute 7.0% improvement in hemoglobin measurement were not statistically significant. There were no clinical or statistically significant differences in other CKD CQMs. Facilitators to CDS use included practices' prioritization of improving CKD and staff use of standing orders. Barriers included incorporating use into existing workflow and variable use among providers. CONCLUSIONS: Use of CDS to improve CKD identification and management in primary care practices shows promise. However, other barriers must be addressed to effectively achieve improvements in CKD outcomes.

"Meaningful" clinical quality measures for primary care physicians.

OBJECTIVES: To systematically solicit recommendations from Meaningful Use (MU) exemplars to inform Stage 3 MU clinical quality measure (CQM) requirements. STUDY DESIGN: The study combined an electronic health record (EHR)-based CQM performance assessment with focus groups among primary care practices with high performance (top tertile), or "exemplars." METHODS: This qualitative exploratory study was conducted in PPRNet, a national primary care practice-based research network. Focus groups among lead physicians from practices in the top tertile of performance on a CQM summary measure were held in early 2014 to learn their perspectives on questions posed by the Office of the National Coordinator related to Stage 3 MU CQMs. RESULTS: Twenty-three physicians attended the focus groups. There was consensus that CQMs should be evidence-based and focus on high-priority conditions relevant to primary care providers. Participants thought the emphasis of CQMs should largely be on outcomes and that reporting of CQMs should limit the burden on providers. Incorporating patient-generated data and accepting locally developed CQMs were viewed favorably. Participants unanimously concurred that platforms for population management were vital tools for improving health outcomes. CONCLUSIONS: Using a series of focus groups, we solicited Stage 3 MU CQM recommendations from a group of physicians who have already achieved "meaningful use" of their EHR, as demonstrated by their high performance on current MU CQMs. Adhering to the standards deemed to be important to high-performing real-world physicians could ensure that the MU Incentive Programs achieve their ultimate goal to improve outcomes.

Learning from primary care meaningful use exemplars.

BACKGROUND: Submission of clinical quality measures (CQMs) data are 1 of 3 major requirements for providers to receive meaningful use (MU) incentive payments under the 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act. Some argue that CQMs are the most important component of MU. Developing an evidence base for how practices can successfully use electronic health records (EHRs) to achieve improvement in CQMs is essential and may benefit from the study of exemplars who have successfully implemented EHRs and demonstrated high performance on CQMs. METHODS: Conducted in PPRNet, a national primary care practice-based research network, this study used a multimethod approach combining an EHR-based CQM performance assessment, a provider survey, and focus groups among high CQM performers. Practices whose providers had attested for stage 1 MU were eligible for the study. Performance on 21 CQMs included in the 2014 MU CQM set and a summary measure was assessed as of October 1, 2013, through an automated data extract and standard analytic procedures. A web-based provider survey, conducted in November to December 2013, assessed provider agreement, staff education, use of EHR reminders, standing orders, and EHR-based patient education related to the 21 CQMs. The survey also had more general questions about the practices' use of EHR functionality and quality improvement (QI) strategies. Statistical analyses using general linear mixed models assessed the associations between responses to the survey and CQM performance, adjusted for several practice covariates. Three focus groups, held in early 2014, provided an opportunity for clinicians to provide their perspectives on the validity of the statistical analyses and to provide context-specific examples from their practice that supported their assessment. RESULTS: Seventy-one practices completed the study, and 319 (92.1%) of their providers completed the survey. There was wide variability in performance on the 21 CQMs among the practices. Mean performance ranged from 89.8% for tobacco use screening and counseling to 12.9% for chlamydia screening. In bivariate analyses, more positive associations were found between CQM performance and staff education, use of standing orders, and EHR reminders than for provider agreement or EHR-based patient education. In multivariate analyses, EHR reminders were most frequently associated with individual CQM performance; several EHR, practice QI, and administrative variables were associated with the summary quality measure. CONCLUSIONS: Purposeful use of EHR functionality coupled with staff education in a milieu where QI is valued and supported is associated with higher performance on CQM.

Quality indicators for primary care: an example for chronic kidney disease.

Although clinical guidelines exist for the management of chronic kidney disease, there is some evidence that care provided by primary care physicians is not concordant with these guidelines. To translate guidelines into practice, a set of quality indicators that are valid and feasible is needed. In this study, which was conducted in PPRNet in 2011, a consensus process was used to develop a set of 12 face valid and reliable quality indicators that can be utilized by primary care physicians to measure and improve chronic kidney disease management.

The prevalence of chronic diseases and multimorbidity in primary care practice: a PPRNet report.

INTRODUCTION: Multimorbidity (multiple chronic illnesses) greatly affects the delivery of health care and assessment of health care quality. There is a lack of basic epidemiologic data on multimorbidity in the United States. This article addresses the prevalence of 24 chronic illnesses and multimorbidity from primary care practices across the United States. METHODS: This cross-sectional study was conducted in the PPRNet, a practice-based research network among 226 practices in 43 states that maintains a clinical database derived from a common electronic health record. Practices providing data as of October 1, 2011, and their active adult patients comprised the population used for analyses. The prevalence of each chronic illness and multimorbidity were calculated. RESULTS: Included in these analyses were 148 practices with 667,379 active patients. Median prevalence across practices ranged from 35.8% for hypertension to 0.23% for Parkinson disease, with wide variability among practices for all conditions. Multimorbidity increased steeply with age, leveling off at age 80; overall, 45.2% of patients had more than one chronic illness. CONCLUSION: Multimorbidity is a prevalent problem in primary care practice, a finding with implications for health care delivery and payment, quality assessment, and research.

Preventive services delivery in patients with chronic illnesses: parallel opportunities rather than competing obligations.

PURPOSE: Whether patients with 1 or more chronic illnesses are more or less likely to receive recommended preventive services is unclear and an important public health and health care system issue. We addressed this issue in a large national practice-based research network (PBRN) that maintains a longitudinal database derived from electronic health records. METHODS: We conducted a cross-sectional study as of October 1, 2011, of the association between being up to date with 10 preventive services and the prevalence of 24 chronic illnesses among 667,379 active patients aged 18 years or older in 148 member practices in a national PBRN. We used generalized linear mixed models to assess for the association of being up to date with each preventive service as a function of the patient's number of chronic conditions, adjusted for patient age and encounter frequency. RESULTS: Of the patients 65.4% had at least 1 of the 24 chronic illnesses. For 9 of the 10 preventive services there were strong associations between the odds of being up to date and the presence of chronic illness, even after adjustment for visit frequency and patient age. Odds ratios increased with the number of chronic conditions for 5 of the preventive services. CONCLUSIONS: Rather than a barrier, the presence of chronic illness was positively associated with receipt of recommended preventive services in this large national PBRN. This finding supports the notion that modern primary care practice can effectively deliver preventive services to the growing number of patients with multiple chronic illnesses.

Medication Safety in Primary Care Practice: results from a PPRNet quality improvement intervention.

Reducing medication errors is a fundamental patient safety goal; however, few improvement interventions have been evaluated in primary care settings. The Medication Safety in Primary Care Practice project was designed to test the impact of a multimethod quality improvement intervention on 5 categories of preventable prescribing and monitoring errors in 20 Practice Partner Research Network (PPRNet) practices. PPRNet is a primary care practice-based research network among users of a common electronic health record (EHR). The intervention was associated with significant improvements in avoidance of potentially inappropriate therapy, potential drug-disease interactions, and monitoring of potential adverse events over 2 years. Avoidance of potentially inappropriate dosages and drug-drug interactions did not change over time. Practices implemented a variety of medication safety strategies that may be relevant to other primary care audiences, including use of EHR-based audit and feedback reports, medication reconciliation, decision-support tools, and refill protocols.

Use of an electronic health record clinical decision support tool to improve antibiotic prescribing for acute respiratory infections: the ABX-TRIP study.

BACKGROUND: Antibiotics are often inappropriately prescribed for acute respiratory infections (ARIs). OBJECTIVE: To assess the impact of a clinical decision support system (CDSS) on antibiotic prescribing for ARIs. DESIGN: A two-phase, 27-month demonstration project. SETTING: Nine primary care practices in PPRNet, a practice-based research network whose members use a common electronic health record (EHR). PARTICIPANTS: Thirty-nine providers were included in the project. INTERVENTION: A CDSS was designed as an EHR progress note template. To facilitate CDSS implementation, each practice participated in two to three site visits, sent representatives to two project meetings, and received quarterly performance reports on antibiotic prescribing for ARIs. MAIN OUTCOME MEASURES: 1) Use of antibiotics for inappropriate indications. 2) Use of broad spectrum antibiotics when inappropriate. 3) Use of antibiotics for sinusitis and bronchitis. KEY RESULTS: The CDSS was used 38,592 times during the 27-month intervention; its use was sustained for the study duration. Use of antibiotics for encounters at which diagnoses for which antibiotics are rarely appropriate did not significantly change through the course of the study (estimated 27-month change, 1.57% [95% CI, -5.35%, 8.49%] in adults and -1.89% [95% CI, -9.03%, 5.26%] in children). However, use of broad spectrum antibiotics for ARI encounters improved significantly (estimated 27 month change, -16.30%, [95% CI, -24.81%, -7.79%] in adults and -16.30 [95%CI, -23.29%, -9.31%] in children). Prescribing for bronchitis did not change significantly, but use of broad spectrum antibiotics for sinusitis declined. CONCLUSIONS: This multi-method intervention appears to have had a sustained impact on reducing the use of broad spectrum antibiotics for ARIs. This intervention shows promise for promoting judicious antibiotic use in primary care.

The use of clinical decision-support tools to facilitate geriatric education.

Innovative methods are needed to incorporate effective geriatric education into internal medicine residency programs. The purpose of this report is to describe the development and use of clinical decision-support (CDS) tools to facilitate geriatric education and improve the care delivered to older adults in an academic internal medicine residency ambulatory care clinic. Starting in 2009, CDS tools were implemented as a major strategy of an initiative to improve resident physician clinical competencies in geriatrics and improve the quality of care and quality of life of older adults. These tools, designed to improve resident assessment and action for each of three educational modules (falls, vision, and dementia) were embedded within the ambulatory electronic medical record (EMR) and provided a method of point-of-care training to residents caring for older adults. One hundred internal medicine residents supervised by 17 general internal medicine faculty members participated. Data regarding CDS use and associated outcomes were recorded and extracted from the ambulatory clinic EMR. Residents screened between 67% and 88% of eligible patients using CDS algorithms; rates of additional assessment and referral or further examination reflected the prevalence of the condition in the patient population. Although further development may be necessary, CDS tools are a promising modality to supplement geriatric postgraduate education while simultaneously improving patient care.

Adoption of a clinical decision support system to promote judicious use of antibiotics for acute respiratory infections in primary care.

PURPOSE: Overuse of antibiotics for acute respiratory infections (ARIs) in primary care is an established risk factor for worsening antimicrobial resistance. The "Reducing Inappropriate Prescribing of Antibiotics by Primary Care Clinicians" study is assessing the impact of a clinical decision support system (CDSS) on antibiotic prescribing for ARIs using a multimethod intervention to facilitate CDSS adoption. The purpose of this report is to describe use of the CDSS, as well as facilitators and barriers to its adoption, during the first year of the 15-month intervention. METHODS: Between January 1, 2010 and December 31, 2010, 39 providers in 9 practices in US states participated in this study. Quarterly EHR based audit and feedback, practice site visits for academic detailing, performance review and CDSS training, and "best-practice" dissemination during two meetings of study participants were used to facilitate CDSS adoption. Mixed methods were used to evaluate adoption of the CDSS. Using data extracted from the EHR, CDSS use for ARI was calculated. To determine facilitators and barriers of CDSS adoption, semi-structured group interviews were conducted with providers and staff at each practice. RESULTS: During the first year of implementation, the ABX-TRIP CDSS was used 14,086 times for ARI encounters. Overall, practice use of the CDSS during ARI encounters ranged from 39.4% to 77.2%. Median use of the CDSS for adult patients was 58.2% and 68.6% for pediatric patients. Key factors associated with CDSS adoption include the perception by providers that it assists with decision making and stimulates patient discussions, engagement of non-physician staff and an iterative CDSS development process. CONCLUSIONS: Adoption of a custom designed CDSS in the first year of implementation is promising. Successful implementation of such technology requires a focus not only on the technological solution itself, but on its integration with the entire clinical workplace.