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Deena Chisolm

Publications and source records attributed to Deena Chisolm.

2 recordsLinked to original sources

The role of care location in diagnosis and treatment of pediatric psychosocial conditions.

Racial differences in diagnosis and treatment of psychosocial conditions have been well documented. It is unclear if these differences represent variance in prevalence or are actually disparities in care driven by social factors, income-related differences, or differences in the actual location of care. We used 4 years of National Ambulatory Medical Care Surveys and National Hospital Ambulatory Medical Care Surveys as source for data on visits to private offices and hospital-based clinics. In addition to the standard practice of combining surveys across years, we used a "supersurvey" approach to combining the 2 distinct surveys. In our roughly 20,000 sampled visits, we confirmed the higher concentration of low-income children in visits to hospital-based clinics (p <.001), but saw no significant racial difference (p =.104). After controlling for race, income, and other demographics, we found that visits to hospital-based clinics were significantly more likely to include a diagnosis of depression (odds ratio [OR], 4.4; p =.011), but that there was no statistically significant difference in other psychosocial diagnoses. Once a diagnosis is made, there is no evidence of differences in treatment or follow-up between office-based or hospital clinic-based providers. Our analyses support previously gathered evidence for differences in economic status of the clientele of private offices and hospital-based clinics. We surprisingly found visits to clinics to be more likely to include a depression diagnosis, but this may be an artifact of the data reflecting visits rather than patients. We found no evidence that treatment or follow-up is different for the disadvantaged who use clinics rather than private offices.

Adolescent↗

Utilization of evidence-based computerized order sets in pediatrics.

Little is known about utilization of different evidence-based order sets within computerized physician order entry (CPOE) systems. We designed a retrospective study of resident and attending physician order set utilization to evaluate the use of three evidence-based computerized order sets (asthma, post-appendectomy care, and community-acquired pneumonia (CAP)), and examine patient and admission characteristics associated with order set utilization in pediatrics. We studied all 529 asthma patients, 277 appendectomy patients, and 210 CAP patients admitted between 1 November 2001 and 30 November 2003 during implementation of standardized order sets at a large, independent, not-for-profit pediatric institution. We analyzed order set utilization for the three order sets and tested the relationship between order set use and potential factors associated with utilization. Order set utilization varied by condition (X(2)=339.2, p<0.001), with the asthma order set use rate highest (88.1%), followed by appendectomy order set utilization (79.4%), and substantially lower CAP order set use (21.1%). We found that trends in order set utilization also varied by condition. Only the asthma order set showed a trend of increasing use after implementation (z= -3.02, p=0.002). In addition, factors associated with order set utilization varied. Uses of the asthma and post-appendectomy order sets were associated with factors such as admission unit and case complexity. CAP order set utilization was associated with case complexity but not admission source. We conclude that health services organizations looking to implement computerized order sets to reduce unnecessary practice variation while promoting best practices must consider the different factors that may influence the use of each order set rather than relying on a one-size-fits-all implementation strategy. Further, issues such as the level of physician involvement in order set development and consensus around order set content may be particularly important factors influencing order set utilization.

Adolescent↗