A computerized CDSS performed relatively accurately compared to clinicians for assessment of asthma control but was inaccurate for treatment. Pediatric pulmonologists failed to follow guideline-based care in a small proportion of patients.
Purpose
To investigate use of a new guideline-based, computerized clinical decision support (CCDS) system for asthma in a pediatric pulmonology clinic of a large academic medical center.
Methods
We conducted a qualitative evaluation including review of electronic data, direct observation, and interviews with all nine pediatric pulmonologists in the clinic. Outcome measures included patterns of computer use in relation to patient care, and themes surrounding the relationship between asthma care and computer use.
Results
The pediatric pulmonologists entered enough data to trigger the decision support system in 397/445 (89.2%) of all asthma visits from January 2009 to May 2009. However, interviews and direct observations revealed use of the decision support system was limited to documentation activities after clinic sessions ended. Reasons for delayed use reflected barriers common to general medical care and barriers specific to subspecialty care. Subspecialist-specific barriers included the perceived high complexity of patients, the impact of subject matter expertise on the types of decision support needed, and unique workflow concerns such as the need to create letters to referring physicians.
Conclusions
Pediatric pulmonologists demonstrated low use of a computerized decision support system for asthma care because of a combination of general and subspecialist-specific factors. Subspecialist-specific factors should not be underestimated when designing guideline-based, computerized decision support systems for the subspecialty setting.
These results indicate that children's use of CAM is significantly related to the intensity of parent's use regardless of parent's race, sex, education, household income, or child's sex or age. Clinicians should consider parental use and intensity of CAM use. Assessing CAM use should include classifications established by the National Center for CAM and a standard format for inquiring about CAM use should be developed.
We identified a significant association between a history of frequent fractures and hypercalcuria in children. We propose that the appropriate screening evaluation for children who present with a history of frequent fractures consists of a dietary history targeted at calcium and vitamin D intakes, a physical examination to assess for pubertal delay, and urinary calcium concentration/creatinine ratio determination to assess for hypercalcuria. Children with abnormalities in this screening should undergo dual-energy radiographic absorptiometry and appropriate evaluation.
Few studies have examined health effects of pesticides in farmworkers, possibly because researchers perceive this population to be relatively inaccessible. We conducted an epidemiologic study of health effects among farmworkers in two towns in central Florida--Apopka and Pierson. Apopka is a suburb of Orlando with a diffuse farmworker community working in many crops, whereas Pierson is a small rural town with a tightly knit farmworker community working mainly in ferns. We collaborated with the Farmworker Association of Florida, a grassroots organization representing 6,700 farmworker families. We identified potential participants using membership lists of the Community Trust Federal Credit Union. Members of the Farmworker Association served as recruiters for the study, locating randomly selected Credit Union members and administering a screening interview to determine eligibility. In Apopka 90% of contacted workers were screened, and 79% of eligible workers participated in the study; corresponding proportions in Pierson were 94 and 85%. Farmworkers who had worked for 6-15 years and those who worked in a defined type of agriculture (nursery, citrus, or ferns) were more likely to enroll than others. Thus, while the response rate was good for a multistage recruiting process, study participants had a slightly different work history from those who chose not to enroll. We conclude that it is possible to conduct a study of health outcomes in farmworkers with a defined population and good response rates. Collaboration with the community is essential to the success of such a project, and community characteristics can affect response rates.
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