Peregrine falcon falco peregrinus in Brazil: natural history through the lens of citizen science

Brazil is an important wintering area for Falco peregrinus, specifically for the subspecies F. p. tundrius and F. p anatum. Using data from WikiAves, we analyzed and discussed aspects of the species natural history, including migratory behavior, geographical distribution, diet, and ecological interactions. Peregrine Falcons were recorded in the country from October until April. Our data suggest that adults can arrive up to a month earlier than juveniles. Individuals have been recorded in all 26 states and there was no significant difference in their geographical distribution in relation to subspecies or age, but there is an apparent lack of records in the Center of the country. Our results showed that in Brazil peregrines prey mainly on Columbiformes and Charadriiformes. Some individuals share the same perch and engage on agonistic interactions with other bird species, usually mobbing or kleptoparasitism.

O Brasil é uma importante área de invernada para Falco peregrinus, especificamente para as subespécies F. p. tundrius e F. p. anatum. Utilizando dados provenientes do WikiAves, nós analisamos e discutimos aspectos da história natural da espécie, incluindo o comportamento migratório, distribuição geográfica, dieta e interações ecológicas. Os falcões-peregrinos podem ser avistados no país entre outubro e abril. Nossos dados sugerem que adultos chegam até um mês antes dos juvenis. Indivíduos foram registrados em todos os 26 estados e não existe nenhuma diferença significativa na distribuição geográfica devido à subespécie ou faixa etária, mas existe uma aparente escassez na região Centro Oeste. Nossos dados apontam ainda que no Brasil os falcões-peregrinos se alimentam majoritariamente de Columbiformes e Charadriiformes. Alguns indivíduos dividem o mesmo poleiro, registramos também a ocorrência de interações agonísticas com outras espécies, geralmente tumulto ou cleptoparasitismo.

Representing narrative evidence as clinical evidence logic statements.

Objective: Clinical evidence logic statements (CELS) are shareable knowledge artifacts in a semistructured "If-Then" format that can be used for clinical decision support systems. This project aimed to assess factors facilitating CELS representation. Materials and Methods: We described CELS representation of clinical evidence. We assessed factors that facilitate representation, including authoring instruction, evidence structure, and educational level of CELS authors. Five researchers were tasked with representing CELS from published evidence. Represented CELS were compared with the formal representation. After an authoring instruction intervention, the same researchers were asked to represent the same CELS and accuracy was compared with that preintervention using McNemar's test. Moreover, CELS representation accuracy was compared between evidence that is structured versus semistructured, and between CELS authored by specialty-trained versus nonspecialty-trained researchers, using χ2 analysis. Results: 261 CELS were represented from 10 different pieces of published evidence by the researchers pre- and postintervention. CELS representation accuracy significantly increased post-intervention, from 20/261 (8%) to 63/261 (24%, P value < .00001). More CELS were assigned for representation with 379 total CELS subsequently included in the analysis (278 structured and 101 semistructured) postintervention. Representing CELS from structured evidence was associated with significantly higher CELS representation accuracy (P = .002), as well as CELS representation by specialty-trained authors (P = .0004). Discussion: CELS represented from structured evidence had a higher representation accuracy compared with semistructured evidence. Similarly, specialty-trained authors had higher accuracy when representing structured evidence. Conclusion: Authoring instructions significantly improved CELS representation with a 3-fold increase in accuracy. However, CELS representation remains a challenging task.

Fast Healthcare Interoperability Resources, Clinical Quality Language, and Systematized Nomenclature of Medicine-Clinical Terms in Representing Clinical Evidence Logic Statements for the Use of Imaging Procedures: Descriptive Study.

BACKGROUND: Evidence-based guidelines and recommendations can be transformed into "If-Then" Clinical Evidence Logic Statements (CELS). Imaging-related CELS were represented in standardized formats in the Harvard Medical School Library of Evidence (HLE). OBJECTIVE: We aimed to (1) describe the representation of CELS using established Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), Clinical Quality Language (CQL), and Fast Healthcare Interoperability Resources (FHIR) standards and (2) assess the limitations of using these standards to represent imaging-related CELS. METHODS: This study was exempt from review by the Institutional Review Board as it involved no human subjects. Imaging-related clinical recommendations were extracted from evidence sources and translated into CELS. The clinical terminologies of CELS were represented using SNOMED CT and the condition-action logic was represented in CQL and FHIR. Numbers of fully and partially represented CELS were tallied. RESULTS: A total of 765 CELS were represented in the HLE as of December 2018. We were able to fully represent 137 of 765 (17.9%) CELS using SNOMED CT, CQL, and FHIR. We were able to represent terms using SNOMED CT in the temporal component for action ("Then") statements in CQL and FHIR in 755 of 765 (98.7%) CELS. CONCLUSIONS: CELS were represented as shareable clinical decision support (CDS) knowledge artifacts using existing standards-SNOMED CT, FHIR, and CQL-to promote and accelerate adoption of evidence-based practice. Limitations to standardization persist, which could be minimized with an add-on set of standard terms and value sets and by adding time frames to the CQL framework.

Characteristics of knowledge content in a curated online evidence library.

Objective: To describe types of recommendations represented in a curated online evidence library, report on the quality of evidence-based recommendations pertaining to diagnostic imaging exams, and assess underlying knowledge representation. Materials and Methods: The evidence library is populated with clinical decision rules, professional society guidelines, and locally developed best practice guidelines. Individual recommendations were graded based on a standard methodology and compared using chi-square test. Strength of evidence ranged from grade 1 (systematic review) through grade 5 (recommendations based on expert opinion). Finally, variations in the underlying representation of these recommendations were identified. Results: The library contains 546 individual imaging-related recommendations. Only 15% (16/106) of recommendations from clinical decision rules were grade 5 vs 83% (526/636) from professional society practice guidelines and local best practice guidelines that cited grade 5 studies (P < .0001). Minor head trauma, pulmonary embolism, and appendicitis were topic areas supported by the highest quality of evidence. Three main variations in underlying representations of recommendations were "single-decision," "branching," and "score-based." Discussion: Most recommendations were grade 5, largely because studies to test and validate many recommendations were absent. Recommendation types vary in amount and complexity and, accordingly, the structure and syntax of statements they generate. However, they can be represented in single-decision, branching, and score-based representations. Conclusion: In a curated evidence library with graded imaging-based recommendations, evidence quality varied widely, with decision rules providing the highest-quality recommendations. The library may be helpful in highlighting evidence gaps, comparing recommendations from varied sources on similar clinical topics, and prioritizing imaging recommendations to inform clinical decision support implementation.

Effects of a meal replacement system alone or in combination with phentermine on weight loss and food cravings.

OBJECTIVE: To examine the effects of phentermine combined with a meal replacement program on weight loss and food cravings and to investigate the relationship between food cravings and weight loss. METHODS: In a 12-week randomized, double-blind, placebo-controlled clinical trial, 77 adults with obesity received either phentermine or placebo. All participants were provided Medifast® meal replacements, were instructed to follow the Take Shape for Life® Optimal Weight 5&1 Plan for weight loss, and received lifestyle coaching in the Habits of Health program. The Food Craving Inventory and the General Food Cravings State and Trait Questionnaires were used to measure food cravings. RESULTS: The phentermine group lost 12.1% of baseline body weight compared with 8.8% in the placebo group. Cravings for all food groups decreased in both groups; however, there was a greater reduction in cravings for fats and sweets in the phentermine group compared with the placebo group. Percent weight loss correlated significantly with reduced total food cravings (r = 0.332, P = 0.009), cravings for sweets (r = 0.412, P < 0.000), and state food cravings (r = 0.320, P = 0.007). CONCLUSIONS: Both phentermine combined with a meal replacement program and meal replacements alone significantly reduced body weight and food cravings; however, the addition of phentermine enhanced these effects.

Exploring Students' Perceptions of the Educational Value of Formative Objective Structured Clinical Examination (OSCE) in a Nutrition Program.

INTRODUCTION: Objective Structured Clinical Examinations (OSCEs) are valuable teaching tools in various disciplines including nutrition. OSCEs increase students' confidence, improve their communication and counseling skills, and can predict clinical strength and identify weaknesses prior to clinical placement. This study explored the impact of three OSCE experiences with nutrition students and evaluated the use of this type of formative assessment. METHODS: Eleven female students with mean age 27.5±7.0 yrs enrolled in a medical nutrition therapy course completed three focus groups, ranging from 2 to 6 participants each, after the completion of three OSCE sessions. DATA ANALYSIS: Two independent reviewers used interpretative phenomenological analysis to analyze verbatim transcriptions. RESULTS: Five themes emerged: bridge to clinical practice, a comprehensive learning tool, realistic experience, student challenges, and curriculum considerations. CONCLUSION: OSCE is an accepted tool by nutrition students and provides a memorable comprehensive learning experience. Students found OSCEs to be more realistic and authentic than hospital visits, and the interprofessional activities made the experience more holistic. The lack of preparation was the most challenging part of OSCE. The OSCE improved students' confidence and bridged the gap to clinical placement, and students recommended to continue using it as part of the curriculum.

Assessing Strength of Evidence of Appropriate Use Criteria for Diagnostic Imaging Examinations.

OBJECTIVE: For health information technology tools to fully inform evidence-based decisions, recommendations must be reliably assessed for quality and strength of evidence. We aimed to create an annotation framework for grading recommendations regarding appropriate use of diagnostic imaging examinations. METHODS: The annotation framework was created by an expert panel (clinicians in three medical specialties, medical librarians, and biomedical scientists) who developed a process for achieving consensus in assessing recommendations, and evaluated by measuring agreement in grading the strength of evidence for 120 empirically selected recommendations using the Oxford Levels of Evidence. RESULTS: Eighty-two percent of recommendations were assigned to Level 5 (expert opinion). Inter-annotator agreement was 0.70 on initial grading (κ = 0.35, 95% CI, 0.23-0.48). After systematic discussion utilizing the annotation framework, agreement increased significantly to 0.97 (κ = 0.88, 95% CI, 0.77-0.99). CONCLUSIONS: A novel annotation framework was effective for grading the strength of evidence supporting appropriate use criteria for diagnostic imaging exams.

A comparative study of the effects of retinol and retinoic acid on histological, molecular, and clinical properties of human skin.

BACKGROUND: All-trans retinol, a precursor of retinoic acid, is an effective anti-aging treatment widely used in skin care products. In comparison, topical retinoic acid is believed to provide even greater anti-aging effects; however, there is limited research directly comparing the effects of retinol and retinoic acid on skin. OBJECTIVES: In this study, we compare the effects of retinol and retinoic acid on skin structure and expression of skin function-related genes and proteins. We also examine the effect of retinol treatment on skin appearance. METHODS: Skin histology was examined by H&E staining and in vivo confocal microscopy. Expression levels of skin genes and proteins were analyzed using RT-PCR and immunohistochemistry. The efficacy of a retinol formulation in improving skin appearance was assessed using digital image-based wrinkle analysis. RESULTS: Four weeks of retinoic acid and retinol treatments both increased epidermal thickness, and upregulated genes for collagen type 1 (COL1A1), and collagen type 3 (COL3A1) with corresponding increases in procollagen I and procollagen III protein expression. Facial image analysis showed a significant reduction in facial wrinkles following 12 weeks of retinol application. CONCLUSIONS: The results of this study demonstrate that topical application of retinol significantly affects both cellular and molecular properties of the epidermis and dermis, as shown by skin biopsy and noninvasive imaging analyses. Although the magnitude tends to be smaller, retinol induces similar changes in skin histology, and gene and protein expression as compared to retinoic acid application. These results were confirmed by the significant facial anti-aging effect observed in the retinol efficacy clinical study.

Objective Structured Clinical Examination (OSCE) Improves Perceived Readiness for Clinical Placement in Nutrition and Dietetic Students.

UNLABELLED: It is increasingly difficult to provide adequate clinical training for new dietetics graduates. Dietetic students obtain clinical experience by visiting patients and viewing their charts in hospital settings but rarely counsel them. OBJECTIVE: To examine the change in nutrition and dietetic students' perceived readiness to practice after completing three Objective Structured Clinical Examinations (OSCE). SUBJECTS: 37 students (mean age 26.6±5.4 yrs, 95% female) from the Schools of Public Health and Allied Health Professions enrolled in a medical nutrition therapy course. METHODS: Using a pre-post test design, 37 students completed the first 3 weeks of the laboratory section of the course at the medical center, followed by 3 weeks of OSCE. OSCE stations included reviewing a chart, counseling a standardized patient, and discussing findings with other healthcare professionals. Students answered the Perceived Readiness for Dietetic Practice questionnaire before and after the OSCE. RESULTS: OSCE significantly improved students' mean readiness to practice their role as clinical dietitians (4.9±2.5 vs 5.8±1.9, p=0.03). There was a significant improvement in the professional role (p=0.04) and charting (p=0.01). Students improved in all areas, but not all areas reached statistical significance. Seventy-six percent of students found the OSCE to be superior to the medical center experience, and 78% of students agreed that collaboration with other healthcare professionals helped prepare them for the dietetic role. CONCLUSION: The OSCE experience improved students' perceived clinical skills. The OSCE format can provide a realistic patient experience for dietetic students to develop their patient evaluation and counseling skills.

Journal club: Requiring clinical justification to override repeat imaging decision support: impact on CT use.

OBJECTIVE: The purpose of this study was to determine the impact of requiring clinical justification to override decision support alerts on repeat use of CT. SUBJECTS AND METHODS: This before and after intervention study was conducted at a 793-bed tertiary hospital with computerized physician order entry and clinical decision support systems. When a CT order is placed, decision support alerts the orderer if the patient's same body part has undergone CT within the past 90 days. The study cohort included all 28,420 CT orders triggering a repeat alert in 2010. The intervention required clinical justification, selected from a predetermined menu, to override repeat CT decision support alerts to place a CT order; otherwise the order could not be placed and was dropped. The primary outcome, dropped repeat CT orders, was analyzed using three methods: chi-square tests to compare proportions dropped before and after intervention; multiple logistic regression tests to control for orderer, care setting, and patient factors; and statistical process control for temporal trends. RESULTS: The repeat CT order drop rate had an absolute increase of 1.4%; 6.1% (682/11,230) before to 7.5% (1290/17,190) after intervention, which was a 23% relative change (7.5 - 6.1)/6.1 × 100 = 23%; p < 0.0001). Orders were dropped more often after intervention (odds ratio, 1.3; 95% CI, 1.1-1.4; p < 0.0001). Statistical control analysis supported the association between the increase in the drop rate with intervention rather than underlying trends. CONCLUSION: Adding a requirement for clinical justification to override alerts modestly but significantly improves the impact of repeat CT decision support (23% relative change), with the overall effect of preventing one in 13 repeat CT orders.

Implementation of a CKD checklist for primary care providers.

BACKGROUND AND OBJECTIVES: CKD is associated with significant morbidity, mortality, and financial burden. Practice guidelines outlining CKD management exist, but there is limited application of these guidelines. Interventions to improve CKD guideline adherence have been limited. This study evaluated a new CKD checklist (a tool outlining management guidelines for CKD) to determine whether implementation in an academic primary care clinic improved adherence to guidelines. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: During a 1-year period (August 2012-August 2013), a prospective study was conducted among 13 primary care providers (PCPs), four of whom were assigned to use a CKD checklist incorporated into the electronic medical record during visits with patients with CKD stages 1-4. All providers received education regarding CKD guidelines. The intervention and control groups consisted of 105 and 263 patients, respectively. Adherence to CKD management guidelines was measured. RESULTS: A random-effects logistic regression analysis was performed to account for intra-group correlation by PCP assignment and adjusted for age and CKD stage. CKD care improved among patients whose PCPs were assigned to the checklist intervention compared with controls. Patients in the CKD checklist group were more likely than controls to have appropriate annual laboratory testing for albuminuria (odds ratio [OR], 7.9; 95% confidence interval [95% CI], 3.6 to 17.2), phosphate (OR, 3.5; 95% CI, 1.5 to 8.3), and parathyroid hormone (OR, 8.1; 95% CI, 4.8 to 13.7) (P<0.001 in all cases). Patients in the CKD checklist group had higher rates of achieving a hemoglobin A1c target<7% (OR, 2.7; 95% CI, 1.4 to 5.1), use of an angiotensin-converting enzyme inhibitor or angiotensin-receptor blocker (OR, 2.1; 95% CI, 1.0 to 4.2), documentation of avoidance of nonsteroidal anti-inflammatory drugs (OR, 41.7; 95% CI, 17.8 to 100.0), and vaccination for annual influenza (OR, 2.1; 95% CI, 1.1 to 4.0) and pneumococcus (OR, 4.7; 95% CI, 2.6 to 8.6) (P<0.001 in all cases). CONCLUSIONS: Implementation of a CKD checklist significantly improved adherence to CKD management guidelines and delivery of CKD care.

Impact of IT-enabled intervention on MRI use for back pain.

BACKGROUND: The purpose of this study was to examine the impact of a multifaceted, clinical decision support (CDS)-enabled intervention on magnetic resonance imaging (MRI) use in adult primary care patients with low back pain. METHODS: After a baseline observation period, we implemented a CDS targeting lumbar-spine MRI use in primary care patients with low back pain through our computerized physician order entry, as well as 2 accountability tools: mandatory peer-to-peer consultation when test utility was uncertain and quarterly practice pattern variation reports to providers. Our primary outcome measure was rate of lumbar-spine MRI use. Secondary measures included utilization of MRI of any body part, comparing it with that of a concurrent national comparison, as well as proportion of lumbar-spine MRI performed in the study cohort that was adherent to evidence-based guideline. Chi-squared, t-tests, and logistic regression were used to assess pre- and postintervention differences. RESULTS: In the study cohort preintervention, 5.3% of low back pain-related primary care visits resulted in lumbar-spine MRI, compared with 3.7% of visits postintervention (P <.0001, adjusted odds ratio 0.68). There was a 30.8% relative decrease (6.5% vs 4.5%, P <.0001, adjusted odds ratio 0.67) in the use of MRI of any body part by the primary care providers in the study cohort. This difference was not detected in the control cohort (5.6% vs 5.3%, P = .712). In the study cohort, adherence to evidence-based guideline in the use of lumbar-spine MRI increased from 78% to 96% (P = .0002). CONCLUSIONS: CDS and associated accountability tools may reduce potentially inappropriate imaging in patients with low back pain.

Challenges to implementing expanded team models: lessons from a centralised nurse-led cholesterol-lowering programme.

BACKGROUND: Lowering low-density lipoprotein (LDL) cholesterol in patients with diabetes mellitus (DM) and cardiovascular disease (CVD) is critical to lowering morbidity and mortality. To increase the percentage of patients with DM and CVD at target LDL (<100 mg/dL), we launched an expanded team-based quality improvement programme in which centralised registered nurses (RNs) followed a detailed protocol to adjust cholesterol-lowering medications. Despite the growing use of team-based approaches to improve quality of care, little remains known about how best to implement them. PROGRAM EVALUATION: To share our experiences and lessons from operating a team-based programme, we conducted a retrospective observational analysis of administrative and clinical data on programme performance. We measured: primary care physician (PCP) and patient acceptance of the programme, number of medication adjustments, change in LDL, per cent of patients achieving target, time to LDL target and the efforts required to achieve these goals. RESULTS: Using administrative data, we initially identified 374 potential patients for enrolment. Chart review revealed that 203 (54%) were clinically eligible. PCPs agreed to enrol 74% (150/203) of these patients. Thirty-six per cent of PCP-approved patients (54/150) could not be reached via phone and 5.3% (8/150) declined enrolment. Of patients enrolled (n=64), 50% did not complete the programme. Of those enrolled, median LDL decreased by 21 mg/dL and 52% (33/64) achieved the LDL target. Programme RNs spent 12 023 min on programme activities, of which 44.4% (5539) was related to non-enrolled patients. CONCLUSIONS: Our adoption of a centralised expanded team-based programme for the management of LDL cholesterol uncovered many barriers to efficiency and success. Even though expanded team programmes may be supported by PCPs, the administrative efforts required to identify, enrol and continually engage eligible patients raise many concerns regarding efficiency and highlight infrastructure changes needed for successful team-based approaches.

Impact of provider-led, technology-enabled radiology management program on imaging.

OBJECTIVE: The study objective was to assess the impact of a provider-led, technology-enabled radiology medical management program on high-cost imaging use. METHODS: This study was performed in the ambulatory setting of an integrated healthcare system. After negotiating a risk contract with a major commercial payer, we created a physician-led radiology medical management program to help address potentially inappropriate high-cost imaging use. The radiology medical management program was enabled by a computerized physician order entry system with integrated clinical decision support and accountability tools, including (1) mandatory peer-to-peer consultation with radiologists before order completion when test utility was uncertain on the basis of order requisition; (2) quarterly practice pattern variation reports to providers; and (3) academic detailing for targeted outliers. The primary outcome measure was intensity of high-cost imaging, defined as the number of outpatient computed tomography (CT), magnetic resonance imaging (MRI), and nuclear cardiology studies per 1000 patient-months in the payer's panel. Chi-square test was used to assess trends. RESULTS: In 1.8 million patient-months from January 2004 to December 2009, 50,336 eligible studies were performed (54.1% CT, 40.3% MRI, 5.6% nuclear cardiology). There was a 12.0% sustained reduction in high-cost imaging intensity over the 5-year period (P < .001). The number of CT studies performed decreased from 17.5 per 1000 patient-months to 14.5 (P < .01); nuclear cardiology examinations decreased from 2.4 to 1.4 (P < .01) per 1000 patient-months. The MRI rate remained unchanged at 11 studies per 1000 patient-months. CONCLUSION: A provider-led radiology medical management program enabled through health information technology and accountability tools may produce a significant reduction in high-cost imaging use.

Use of a web-based risk appraisal tool for assessing family history and lifestyle factors in primary care.

BACKGROUND: Primary care clinicians can play an important role in identifying individuals at increased risk of cancer, but often do not obtain detailed information on family history or lifestyle factors from their patients. OBJECTIVE: We evaluated the feasibility and effectiveness of using a web-based risk appraisal tool in the primary care setting. DESIGN: Five primary care practices within an academic care network were assigned to the intervention or control group. PARTICIPANTS: We included 15,495 patients who had a new patient visit or annual exam during an 8-month period in 2010-2011. INTERVENTION: Intervention patients were asked to complete a web-based risk appraisal tool on a laptop computer immediately before their visit. Information on family history of cancer was sent to their electronic health record (EHR) for clinicians to view; if accepted, it populated coded fields and could trigger clinician reminders about colon and breast cancer screening. MAIN MEASURES: The main outcome measure was new documentation of a positive family history of cancer in coded EHR fields. Secondary outcomes included clinician reminders about screening and discussion of family history, lifestyle factors, and screening. KEY RESULTS: Among eligible intervention patients, 2.0% had new information on family history of cancer entered in the EHR within 30 days after the visit, compared to 0.6% of eligible control patients (adjusted odds ratio = 4.3, p = 0.03). There were no significant differences in the percent of patients who received moderate or high risk reminders for colon or breast cancer screening. CONCLUSIONS: Use of this tool was associated with increased documentation of family history of cancer in the EHR, although the percentage of patients with new family history information was low in both groups. Further research is needed to determine how risk appraisal tools can be integrated with workflow and how they affect screening and health behaviors.

Adoption and meaningful use of computerized physician order entry with an integrated clinical decision support system for radiology: ten-year analysis in an urban teaching hospital.

PURPOSE: The aim of this study was to assess whether an integrated imaging computerized physician order entry (CPOE) system with embedded decision support for imaging can be accepted clinically. METHODS: The study was performed in a health care delivery network with an affiliated academic hospital. After pilot testing and user feedback, a Web-enabled CPOE system with embedded imaging decision support was phased into clinical use between 2000 and 2010 across outpatient, emergency department, and inpatient settings. The primary outcome measure was meaningful use, defined as the proportion of imaging studies performed with orders electronically created (EC) or electronically signed by an authorized provider. The secondary outcome measure was adoption, defined as the proportion of imaging studies that were ordered electronically, irrespective of who entered the order in the CPOE system. Univariate and multivariate regression analyses were performed to estimate trends and the significance of practice settings, examination modality, and body part to outcome measures. Chi-square statistics were used to assess differences across specialties. RESULTS: A total of 4.1 million imaging studies were performed during the study period. From 2000 to 2010, significant increases in meaningful use (for EC studies, from 0.4% to 61.9%; for electronically signed studies, from 0.4% to 92.2%; P < .005) and the adoption of CPOE (from 0.5% to 94.6%, P < .005) were observed. The use of EC studies was greatest in the emergency department and inpatient settings. Meaningful use varied across specialties; surgical subspecialties had the lowest rates of EC studies. CONCLUSIONS: Imaging CPOE with embedded decision support integrated into the IT infrastructure of the health care enterprise and clinicians' workflow can be broadly accepted clinically.

Variation in use of head computed tomography by emergency physicians.

OBJECTIVE: Variation in emergency department head computed tomography (CT) use in patients with atraumatic headaches between hospitals is being measured nationwide. However, the magnitude of interphysician variation within a hospital is currently unknown. We hypothesized that there was significant variation in the rates of physician head CT use, both overall and for patients diagnosed with atraumatic headaches. METHODS: This cross-sectional study was conducted in the emergency department of a large urban academic hospital, and institutional review board approval was obtained. All emergency department visits from 2009 were analyzed, and the primary outcome measure was whether or not head CT was performed. Logistic regression was used to control for patient, physician, and visit characteristics potentially associated with head CT ordering. The degree of interphysician variability was tested, both before and after controlling for these variables. RESULTS: Of 55,286 emergency department patient encounters, 4919 (8.9%) involved head CT examinations. Unadjusted head CT ordering rates per physician ranged from 4.4% to 16.9% overall and from 15.2% to 61.7% in patients diagnosed with atraumatic headaches, with both rates varying significantly between physicians. Two-fold variation in head CT ordering overall (6.5%-13.5%) and approximately 3-fold variation in head CT ordering for atraumatic headaches (21.2%-60.1%) persisted even after controlling for pertinent variables. CONCLUSION: Emergency physicians vary significantly in their use of head CT both overall and in patients with atraumatic headaches. Further studies are needed to identify strategies to reduce interphysician variation in head CT use.

Improving completeness of electronic problem lists through clinical decision support: a randomized, controlled trial.

BACKGROUND: Accurate clinical problem lists are critical for patient care, clinical decision support, population reporting, quality improvement, and research. However, problem lists are often incomplete or out of date. OBJECTIVE: To determine whether a clinical alerting system, which uses inference rules to notify providers of undocumented problems, improves problem list documentation. STUDY DESIGN AND METHODS: Inference rules for 17 conditions were constructed and an electronic health record-based intervention was evaluated to improve problem documentation. A cluster randomized trial was conducted of 11 participating clinics affiliated with a large academic medical center, totaling 28 primary care clinical areas, with 14 receiving the intervention and 14 as controls. The intervention was a clinical alert directed to the provider that suggested adding a problem to the electronic problem list based on inference rules. The primary outcome measure was acceptance of the alert. The number of study problems added in each arm as a pre-specified secondary outcome was also assessed. Data were collected during 6-month pre-intervention (11/2009-5/2010) and intervention (5/2010-11/2010) periods. RESULTS: 17,043 alerts were presented, of which 41.1% were accepted. In the intervention arm, providers documented significantly more study problems (adjusted OR=3.4, p<0.001), with an absolute difference of 6277 additional problems. In the intervention group, 70.4% of all study problems were added via the problem list alerts. Significant increases in problem notation were observed for 13 of 17 conditions. CONCLUSION: Problem inference alerts significantly increase notation of important patient problems in primary care, which in turn has the potential to facilitate quality improvement. TRIAL REGISTRATION: ClinicalTrials.gov: NCT01105923.

Clinician characteristics and use of novel electronic health record functionality in primary care.

BACKGROUND: Conventional wisdom holds that older, busier clinicians who see complex patients are less likely to adopt and use novel electronic health record (EHR) functionality. METHODS: To compare the characteristics of clinicians who did and did not use novel EHR functionality, we conducted a retrospective analysis of the intervention arm of a randomized trial of new EHR-based tobacco treatment functionality. RESULTS: The novel functionality was used by 103 of 207 (50%) clinicians. Staff physicians were more likely than trainees to use the functionality (64% vs 37%; p<0.001). Clinicians who graduated more than 10 years previously were more likely to use the functionality than those who graduated less than 10 years previously (64% vs 42%; p<0.01). Clinicians with higher patient volumes were more likely to use the functionality (lowest quartile of number of patient visits, 25%; 2nd quartile, 38%; 3rd quartile, 65%; highest quartile, 71%; p<0.001). Clinicians who saw patients with more documented problems were more likely to use the functionality (lowest tertile of documented patient problems, 38%; 2nd tertile, 58%; highest tertile, 54%; p=0.04). In multivariable modeling, independent predictors of use were the number of patient visits (OR 1.2 per 100 additional patients; 95% CI 1.1 to 1.4) and number of documented problems (OR 2.9 per average additional problem; 95% CI 1.4 to 6.1). CONCLUSIONS: Contrary to conventional wisdom, clinically busier physicians seeing patients with more documented problems were more likely to use novel EHR functionality.

A method and knowledge base for automated inference of patient problems from structured data in an electronic medical record.

BACKGROUND: Accurate knowledge of a patient's medical problems is critical for clinical decision making, quality measurement, research, billing and clinical decision support. Common structured sources of problem information include the patient problem list and billing data; however, these sources are often inaccurate or incomplete. OBJECTIVE: To develop and validate methods of automatically inferring patient problems from clinical and billing data, and to provide a knowledge base for inferring problems. STUDY DESIGN AND METHODS: We identified 17 target conditions and designed and validated a set of rules for identifying patient problems based on medications, laboratory results, billing codes, and vital signs. A panel of physicians provided input on a preliminary set of rules. Based on this input, we tested candidate rules on a sample of 100,000 patient records to assess their performance compared to gold standard manual chart review. The physician panel selected a final rule for each condition, which was validated on an independent sample of 100,000 records to assess its accuracy. RESULTS: Seventeen rules were developed for inferring patient problems. Analysis using a validation set of 100,000 randomly selected patients showed high sensitivity (range: 62.8-100.0%) and positive predictive value (range: 79.8-99.6%) for most rules. Overall, the inference rules performed better than using either the problem list or billing data alone. CONCLUSION: We developed and validated a set of rules for inferring patient problems. These rules have a variety of applications, including clinical decision support, care improvement, augmentation of the problem list, and identification of patients for research cohorts.