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1.
Fam Syst Health ; 39(3): 477-487, 2021 Sep.
Article in English | MEDLINE | ID: mdl-34618516

ABSTRACT

INTRODUCTION: Pediatric acute-onset neuropsychiatric syndrome (PANS) and pediatric autoimmune neuropsychiatric disorder associated with streptococcal infections (PANDAS) are severe but highly treatable postinfectious inflammatory brain conditions. Despite published diagnostic and treatment guidelines for this condition, there are long delays in obtaining appropriate care. The reasons for these delays are poorly understood. We sought to identify health care system barriers to timely treatment by examining cases of PANDAS/PANS occurring in children of health care professionals. METHOD: We recruited families via e-mail request through the PANDAS Physicians Network. Participating parents completed a structured questionnaire and provided a written case description. RESULTS: Eleven families completed data collection, representing a broad spectrum of disease (child disease onset age 4-15, 7 males/4 females, mild to severe). Parents included 11 physicians, 2 mental health professionals, 2 nurses, and a PharmD. Nine cases (82%) had "very delayed" diagnosis and treatment (>4 weeks after onset). The most commonly encountered causes for treatment delay were clinician lack of awareness (82%), clinician skepticism (82%), overdependence on diagnostic testing (91%), and out-of-pocket expenses >$100 US (82%). Other common challenges included difficulties finding a provider to spearhead care (64%), psychological misdiagnosis (55%), and children's suppression of behaviors during assessments (55%). CONCLUSIONS: We found numerous barriers to treatment of PANDAS/PANS among children of health care providers. Our findings suggest that even among the medically sophisticated, PANDAS/PANS diagnosis and treatment remains challenging. Improvement in PANDAS/PANS education of clinicians who may encounter children with this disorder is 1 key step toward addressing our identified barriers. (PsycInfo Database Record (c) 2021 APA, all rights reserved).


Subject(s)
Autoimmune Diseases , Obsessive-Compulsive Disorder , Autoimmune Diseases/diagnosis , Autoimmune Diseases/therapy , Child , Child, Preschool , Female , Health Personnel , Humans , Male , Surveys and Questionnaires
2.
J Crit Care ; 25(2): 179-83, 2010 Jun.
Article in English | MEDLINE | ID: mdl-19682850

ABSTRACT

PURPOSE: When radiologists are not available, chest radiographs (CXRs) of pediatric intensive care unit (PICU) patients are commonly interpreted by pediatric intensivists. We prospectively investigated the frequency of errors in CXR interpretation by pediatric intensivists and their impact on patient management. MATERIALS AND METHODS: Chest radiographs of PICU patients were evaluated by 5 pediatric intensivists then by a pediatric radiologist (the "gold standard"). If the interpretation of the radiologist and intensivist differed, an independent intensivist determined whether a management change took place. A pediatric pulmonologist determined how many intensivist interpretations were different from the radiologist's interpretations. RESULTS: Seven hundred twenty-eight radiographic findings were identified by the radiologist in 460 CXRs. There were 33 interpretation errors by the intensivists (4.5% of the findings in 7.1% of the CXRs). Only 3/33 error corrections (0.45% of the findings in 0.7% of the CXRs) resulted in change in patient management. CONCLUSIONS: Errors in interpretation of CXRs by pediatric intensivists were common but less than that in other series, probably because of education of the pediatric intensivists through daily rounds with the radiologist. Although interpretation errors that affected patient management were rare, their clinical importance supports the growing practice of 24/7 remote radiograph reading by radiologists.


Subject(s)
Diagnostic Errors/statistics & numerical data , Pediatrics/standards , Radiography, Thoracic , Radiology/standards , Child , District of Columbia , Hospitals, University , Humans , Intensive Care Units, Pediatric , Observer Variation , Patient Care Management , Prospective Studies
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