OBJECTIVE: To compare primary care pediatricians' practices and attitudes regarding obesity assessment, prevention, and treatment in children 2 years and older in 2006 and 2017. STUDY DESIGN: National, random samples of American Academy of Pediatrics members were surveyed in 2006, 2010, and 2017 on practices and attitudes regarding overweight and obesity (analytic n = 655, 592, and 558, respectively). Using logistic regression models (controlling for pediatrician and practice characteristics), we examined survey year with predicted values (PVs), including body mass index (BMI) assessment across 2006, 2010, and 2017 and practices and attitudes in 2006 and 2017. RESULTS: Pediatrician respondents in 2017 were significantly more likely than in 2006 and 2010 to report calculating and plotting BMI at every well-child visit, with 96% of 2017 pediatricians reporting they do this. Compared with 2006, in 2017 pediatricians were more likely to discuss family behaviors related to screen time, sugar-sweetened beverages, and eating meals together, P < .001 for all. There were no observed differences in frequency of discussions on parental role modeling of nutrition and activity-related behaviors, roles in food selection, and frequency of eating fast foods or eating out. Pediatricians in 2017 were more likely to agree BMI adds new information relevant to medical care (PV = 69.8% and 78.1%), they have support staff for screening (PV = 45.3% and 60.5%), and there are effective means of treating obesity (PV = 36.3% and 56.2%), P < .001 for all. CONCLUSIONS: Results from cross-sectional surveys in 2006 and 2017 suggest nationwide, practicing pediatricians have increased discussions with families on several behaviors and their awareness and practices around obesity care.

BACKGROUND: The development of molecular diagnostics that detect both the presence of Mycobacterium tuberculosis in clinical samples and drug resistance-conferring mutations promises to revolutionize patient care and interrupt transmission by ensuring early diagnosis. However, these tools require the identification of genetic determinants of resistance to the full range of anti-tuberculosis drugs. OBJECTIVES: To determine the optimal molecular approach needed, we sought to create a comprehensive catalogue of resistance mutations and assess their sensitivity and specificity in diagnosing drug resistance. METHODS: We developed and validated molecular inversion probes for DNA capture and deep sequencing of 28 drug resistance loci in M.tuberculosis. We used the probes for targeted sequencing of a geographically diverse set of 1397 clinical M.tuberculosis isolates with known drug resistance phenotypes. We identified a minimal set of mutations to predict resistance to first- and second-line anti-tuberculosis drugs and validated our predictions in an independent dataset. We constructed and piloted a web-based database that provides public access to the sequence data and prediction tool. RESULTS: The predicted resistance to rifampicin and isoniazid exceeded 90% sensitivity and specificity, but was lower for other drugs. The number of mutations needed to diagnose resistance is large and for the 13 drugs studied it was 238 across 18 genetic loci. CONCLUSION: These data suggest that a comprehensive M.tuberculosis drug resistance diagnostic will need to allow for a high dimension of mutation detection. They also support the hypothesis that currently unknown genetic determinants, potentially discoverable by whole genome sequencing, encode resistance to second-line TB drugs.

OBJECTIVES: In this article, we describe how to include considerations about resource utilization when making recommendations according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. STUDY DESIGN AND SETTINGS: We focus on challenges with rating the confidence in effect estimates (quality of evidence) and incorporating resource use into evidence profiles and Summary of Findings (SoF) tables. RESULTS: GRADE recommends that important differences in resource use between alternative management strategies should be included along with other important outcomes in the evidence profile and SoF table. Key steps in considering resources in making recommendations with GRADE are the identification of items of resource use that may differ between alternative management strategies and that are potentially important to decision makers, finding evidence for the differences in resource use, making judgments regarding confidence in effect estimates using the same criteria used for health outcomes, and valuing the resource use in terms of costs for the specific setting for which recommendations are being made. CONCLUSIONS: With our framework, decision makers will have access to concise summaries of recommendations, including ratings of the quality of economic evidence, and better understand the implications for clinical decision making.

As more physicians adopt electronic health record systems in their practices, policy interest is focusing on whether physicians are ready to meet the federal "meaningful use" criteria-a vital threshold to qualify for financial incentives. In our analysis of a 2011 nationally representative survey of office-based physicians, we found that 91 percent of physicians were eligible for Medicare or Medicaid meaningful-use incentives. About half of all physicians intended to apply. However, only 11 percent both intended to apply for the incentives and had electronic health record systems with the capabilities to support even two-thirds of the stage 1 core objectives required for meaningful use. Although the federal Medicare incentives will be available through 2016, and Medicaid incentives through 2021, widespread gaps in readiness throughout the states illustrate the challenges physicians face in meeting the federal schedule for the incentive programs.

By 2011 more than half of all office-based physicians were using electronic health record systems, but only about one-third of those physicians had systems with basic features such as the abilities to record information on patient demographics, view laboratory and imaging results, maintain problem lists, compile clinical notes, or manage computerized prescription ordering. Basic features are considered important to realize the potential of these systems to improve health care. We found that although trends in adoption of electronic health record systems across geographic regions converged from 2002 through 2011, adoption continued to lag for non-primary care specialists, physicians age fifty-five and older, and physicians in small (1-2 providers) and physician-owned practices. Federal policies are specifically aimed at encouraging primary care providers and small practices to achieve widespread use of electronic health records. To achieve their nationwide adoption, federal policies may also have to focus on encouraging adoption among non-primary care specialists, as well as addressing persistent gaps in the use of electronic record systems by practice size, physician age, and ownership status.

OBJECTIVES: In October 2008, pulmonary tuberculosis (TB) was diagnosed in a driver who had transported 762 passengers in the District of Columbia metropolitan area during his infectious period. A passenger contact investigation was conducted by the six public health jurisdictions because of concern that some passengers might be infected with HIV or have other medical conditions that put them at increased risk for developing TB disease if infected. METHODS: Authorities evaluated 92 of 100 passengers with at least 90 minutes of cumulative exposure. Passengers with fewer than 90 minutes of cumulative exposure were evaluated if they had contacted the health department after exposure and had a medical condition that increased their risk of TB. A tuberculin skin test (TST) result of at least 5 millimeters induration was considered positive. RESULTS: Of 153 passengers who completed TST evaluation, 11 (7%) had positive TST results. TST results were not associated with exposure time or high-risk medical conditions. No TB cases were identified in the passengers. CONCLUSIONS: The investigation yielded insufficient evidence that Mycobacterium tuberculosis transmission to passengers had occurred. TB-control programs should consider transportation-related passenger contact investigations low priority unless exposure is repetitive or single-trip exposure is long.

Using data from the National Ambulatory Medical Care Survey, logit models tested for trends in the probability that visits by adult diabetes patients to their primary care providers included recommended treatment measures, such as a prescription for an angiotensin-converting enzyme (ACE) inhibitor or an angiotensin-II receptor blocker (ARB), blood pressure measurement, and diet/nutrition or exercise counseling. Results indicated that the probability that visits included prescription of an ACE or ARB and blood pressure measurement increased significantly over the 1997-2005 period, while the probability that visits documented provision of exercise counseling rose since 2001.