scispace - formally typeset
Search or ask a question

Showing papers by "Thomas McGinn published in 2013"


Journal ArticleDOI
TL;DR: The integrated clinical prediction rule process for integrating complex evidence-based clinical decision report tools is of relevant importance for national initiatives, such as Meaningful Use.
Abstract: Importance There is consensus that incorporating clinical decision support into electronic health records will improve quality of care, contain costs, and reduce overtreatment, but this potential has yet to be demonstrated in clinical trials. Objective To assess the influence of a customized evidence-based clinical decision support tool on the management of respiratory tract infections and on the effectiveness of integrating evidence at the point of care. Design, Setting, and Participants In a randomized clinical trial, we implemented 2 well-validated integrated clinical prediction rules, namely, the Walsh rule for streptococcal pharyngitis and the Heckerling rule for pneumonia. Interventions and Main Outcomes and Measures The intervention group had access to the integrated clinical prediction rule tool and chose whether to complete risk score calculators, order medications, and generate progress notes to assist with complex decision making at the point of care. Results The intervention group completed the integrated clinical prediction rule tool in 57.5% of visits. Providers in the intervention group were significantly less likely to order antibiotics than the control group (age-adjusted relative risk, 0.74; 95% CI, 0.60-0.92). The absolute risk of the intervention was 9.2%, and the number needed to treat was 10.8. The intervention group was significantly less likely to order rapid streptococcal tests compared with the control group (relative risk, 0.75; 95% CI, 0.58-0.97;P = .03). Conclusions and Relevance The integrated clinical prediction rule process for integrating complex evidence-based clinical decision report tools is of relevant importance for national initiatives, such as Meaningful Use. Trial Registration clinicaltrials.gov Identifier:NCT01386047

110 citations


Journal ArticleDOI
TL;DR: Findings suggest that CTPN Pro-PN and Peer-PN programs are effective in this urban primary care setting in East Harlem, NY, where approximately half the residents participate in SC.
Abstract: Low-income minorities often face system-based and personal barriers to screening colonoscopy (SC). Culturally targeted patient navigation (CTPN) programs employing professional navigators (Pro-PNs) or community-based peer navigators (Peer-PNs) can help overcome barriers but are not widely implemented. In East Harlem, NY, USA, where approximately half the residents participate in SC, 315 African American patients referred for SC at a primary care clinic with a Direct Endoscopic Referral System were recruited between May 2008 and May 2010. After medical clearance, 240 were randomized to receive CTPN delivered by a Pro-PN (n = 106) or Peer-PN (n = 134). Successful navigation was measured by SC adherence rate, patient satisfaction and navigator trust. Study enrollment was 91.4% with no significant differences in SC adherence rates between Pro-PN (80.0%) and Peer-PN (71.3%) (P = 0.178). Participants in both groups reported high levels of satisfaction and trust. These findings suggest that CTPN Pro-PN and Peer-PN programs are effective in this urban primary care setting. We detail how we recruited and trained navigators, how CTPN was implemented and provide a preliminary answer to our questions of the study aims: can peer navigators be as effective as professionals and what is the potential impact of patient navigation on screening adherence?

56 citations


Journal ArticleDOI
TL;DR: The derivation of a CDR is described to help PICU physicians determine which children <3 years of age with non-vehicle associated TBI do NOT need an evaluation for AHT, and it would be the first CDR to assess which children should be screened for any type of abuse.
Abstract: Abusive head trauma (AHT) is the leading cause of death from traumatic brain injury (TBI) in children <2 years of age and a leading cause of morbidity and mortality in young children.1–3 If AHT is not recognized, children may inadvertently be returned to a violent home and there is a high rate of re-injury and/or death.4 Determining when to screen for AHT can be difficult; a plethora of data demonstrate that physicians’ decisions about when to screen for child abuse, in general, and AHT, in particular, are biased by patient race and socioeconomic status and professional experience.4–7 In a study evaluating the rate at which infants with non-motor vehicle associated TBI were screened for physical abuse, Caucasian infants and those with private insurance were less likely to undergo a skeletal survey than Black or Hispanic children or children with public insurance. Once screened, however, Caucasian children were more likely to be diagnosed with physical abuse, suggesting either an over-evaluation of black infants or an under-evaluation of white infants.5 In a study of missed AHT, children who were Caucasian with married parents were most likely to be misdiagnosed; 4 of the 5 deaths in the study were felt to be a direct result of misdiagnosis.4 A clinical prediction/decision rule (CDR) is a tool that quantifies the contributions that the history, physical examination, and laboratory results make toward a diagnosis or prognosis in a patient. CDRs attempt to increase the accuracy of clinicians' diagnostic and prognostic assessments.8 They are particularly important for diseases which are relatively rare and in which the stakes for missing the diagnosis are high. CDRs have been derived for a variety of clinical scenarios.9–13 In this issue of PCCM, Hymel and colleagues describe the derivation of a CDR to help PICU physicians determine which children <3 years of age with non-vehicle associated TBI do NOT need an evaluation for AHT.14 The study was conducted in 14 PICUs over a 15-month period. Of the 209 subjects, 45% were diagnosed with AHT using an a priori study definitional criterion. The authors concluded that the absence of five variables - acute respiratory compromise, bilateral or interhemispheric subdural hemorrhage, seizure or acute encephalopathy, bruising of the torso, ear or neck region or a skull fracture other than a linear parietal one - had a negative predictive value of 93%. Therefore, if none of the five variables were presented, only 7% of the subjects had AHT. The authors are to be congratulated for clearly describing their methodology and limitations. If their CDR were successful in subsequent validation and implementation studies, it would be the first CDR to assess which children should be screened for any type of abuse. But despite my praise of this study, I have a difficult time as a pediatrician and child abuse physician accepting that in a population in which the pre-test probability of disease is 45% (as it was in this population) that screening for the disease is not indicated in every child in the population. Is there any other disease with a pre-test probability of 45% in which we would even consider not screening every patient? If 45% of women in a population had breast cancer, would we try to develop a CDR to avoid screening some of these women? Screening for AHT in children with TBI involves a skeletal survey and dilated eye examination, minimal interventions compared with all the interventions a child in a PICU is likely to get. The authors have chosen a point along the continuum of children who may need an evaluation for AHT (e.g. young children in the PICU with TBI) where the prevalence of disease is so high that a CDR is not indicated. Indeed, a CDR in the PICU may be potentially harmful; the negative predictive value is not 100%, a negative screen may give physicians a false sense of security that a child does not have AHT. This CDR would be more useful had it been derived in a population of children who were at a much earlier point in the evaluation process (i.e. prior to getting a head CT or after the head CT, but prior to the decision to admit to a PICU). The authors clearly articulate all the reasons why physicians may not screen for AHT including parental stress, doctor-parent relationship, cost and parental stigma. While these may all be true reasons why physicians don’t screen, these reasons focus on the adults - the doctor and the parent - rather than on the child. As we know from countless situations in which abuse is missed, what is best for the child is often not what is best or easiest for adults. If we lived in an ideal world, deciding when to screen for specific conditions would be dictated only by what is best for the child. In this ideal world, physicians would do a skeletal survey and dilated eye examination in all young children with non-motor vehicle related TBI. But until that time comes, perhaps development of a CDR will ultimately protect more children than the status quo. While I am willing to admit that the approach of Hymel and colleagues may be more realistic, I wish I lived in the ideal world in which we didn’t need to try to meet the needs of the adults who care for children rather the needs of the children they care for.

4 citations