Abstract:Little is known about the prevalence of focused expertise (special areas of expertise within a clinical field) among physicians, yet such expertise may influence how care is delivered. We surveyed general internists, pediatricians, cardiologists, infectious disease specialists, and orthopedic surgeons to describe the prevalence of focused expertise and identify associated physician and practice characteristics. About one quarter of generalists and three quarters of specialists reported a focused expertise with… Show more
“…They were asked the percentage of their patients who were women and their areas of expertise or special interest 15 within primary care. Information about each physician's gender, specific clinic within the hospital, and number of half-day clinical sessions per week was obtained from administrative files.…”
BACKGROUND: Physicians often rely on colleagues for new information and advice about the care of their patients. OBJECTIVE: Evaluate the network of influential discussions among primary care physicians in a hospitalbased academic practice.
DESIGN:Survey of physicians about influential discussions with their colleagues regarding women's health issues. We used social network analysis to describe the network of discussions and examined factors predictive of a physician's location in the network.
SUBJECTS:All 38 primary care physicians in a hospital-based academic practice.
MEASUREMENTS:Location of physician within the influential discussion network and relationship with other physicians in the network.
RESULTS:Of 33 responding physicians (response rate= 87%), the 5 reporting expertise in women's health were more likely than others to be cited as sources of influential information (odds ratio [OR] 6.81, 95% Bayesian confidence interval [CI] 2.25-23.81). Physicians caring for more women were also more often cited (OR 1.03, 95% CI 1.01-1.05 for a 1 percentage-point increase in the proportion of women patients). Influential discussions were more frequent among physicians practicing in the same clinic within the practice than among those in different clinics (OR 5.03,) and with physicians having more weekly clinical sessions (OR 1.33, 95% CI 1.15 to 1.54 for each additional session).
CONCLUSIONS:In the primary care practice studied, physicians obtained information from colleagues with greater expertise and experience as well as colleagues who were accessible based on location and schedule. It may be possible to organize practices to promote more rapid dissemination of high-quality evidence-based medicine.
“…They were asked the percentage of their patients who were women and their areas of expertise or special interest 15 within primary care. Information about each physician's gender, specific clinic within the hospital, and number of half-day clinical sessions per week was obtained from administrative files.…”
BACKGROUND: Physicians often rely on colleagues for new information and advice about the care of their patients. OBJECTIVE: Evaluate the network of influential discussions among primary care physicians in a hospitalbased academic practice.
DESIGN:Survey of physicians about influential discussions with their colleagues regarding women's health issues. We used social network analysis to describe the network of discussions and examined factors predictive of a physician's location in the network.
SUBJECTS:All 38 primary care physicians in a hospital-based academic practice.
MEASUREMENTS:Location of physician within the influential discussion network and relationship with other physicians in the network.
RESULTS:Of 33 responding physicians (response rate= 87%), the 5 reporting expertise in women's health were more likely than others to be cited as sources of influential information (odds ratio [OR] 6.81, 95% Bayesian confidence interval [CI] 2.25-23.81). Physicians caring for more women were also more often cited (OR 1.03, 95% CI 1.01-1.05 for a 1 percentage-point increase in the proportion of women patients). Influential discussions were more frequent among physicians practicing in the same clinic within the practice than among those in different clinics (OR 5.03,) and with physicians having more weekly clinical sessions (OR 1.33, 95% CI 1.15 to 1.54 for each additional session).
CONCLUSIONS:In the primary care practice studied, physicians obtained information from colleagues with greater expertise and experience as well as colleagues who were accessible based on location and schedule. It may be possible to organize practices to promote more rapid dissemination of high-quality evidence-based medicine.
“…Sometimes physicians consider whether to perform diagnostic testing using biomarkers in largely healthy people, but then one is stuck with interpreting whether nonoutlier results confer any predictive information. Moreover, depending on their subspecialty, practitioners may focus on one or a few biomarkers at a time ( 4 ).…”
Background
Physicians sometimes consider whether or not to perform diagnostic testing in healthy people, but it is unknown whether nonextreme values of diagnostic tests typically encountered in such populations have any predictive ability, in particular for risk of death. The goal of this study was to quantify the associations among population reference intervals of 152 common biomarkers with all-cause mortality in a representative, nondiseased sample of adults in the United States.
Methods
The study used an observational cohort derived from the National Health and Nutrition Examination Survey (NHANES), a representative sample of the United States population consisting of 6 survey waves from 1999 to 2010 with linked mortality data (unweighted N = 30 651) and a median followup of 6.1 years. We deployed an X-wide association study (XWAS) approach to systematically perform association testing of 152 diagnostic tests with all-cause mortality.
Results
After controlling for multiple hypotheses, we found that the values within reference intervals (10–90th percentiles) of 20 common biomarkers used as diagnostic tests or clinical measures were associated with all-cause mortality, including serum albumin, red cell distribution width, serum alkaline phosphatase, and others after adjusting for age (linear and quadratic terms), sex, race, income, chronic illness, and prior-year healthcare utilization. All biomarkers combined, however, explained only an additional 0.8% of the variance of mortality risk. We found modest year-to-year changes, or changes in association from survey wave to survey wave from 1999 to 2010 in the association sizes of biomarkers.
Conclusions
Reference and nonoutlying variation in common biomarkers are consistently associated with mortality risk in the US population, but their additive contribution in explaining mortality risk is minor.
“…[11][12][13][14][15] Certain generalists have levels of experience similar to specialists because of their training, natural inclinations, or patient population. 7,8,16 In most studies, however, authors combine these "generalist experts" with less experienced generalists. Furthermore, it is not possible to divorce physicians from the context in which they practice.…”
Background: Studies of clinical outcomes for generalist vs specialist care for diagnoses within a specialist's narrow domain have tended to favor specialty care.
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