Use of evidence-based assessments for childhood anxiety disorders within a regional medical system.

Anxiety disorders represent a common and serious threat to mental health in children and adolescents. To effectively treat anxiety in children, clinicians must conduct accurate assessment of patients' symptoms. However, despite the importance of assessment in the treatment of childhood anxiety disorders, the literature lacks a thorough analysis of the practices used by clinicians' when evaluating such disorders in community settings. Thus, the current study examines the quality of assessment for childhood anxiety disorders in a large regional health system. The results suggest that clinicians often provide non-specific diagnoses, infrequently document symptoms according to diagnostic criteria, and rarely administer rating scales and structured diagnostic interviews. Relatedly, diagnostic agreement across practice settings was low. Finally, the quality of assessment differed according to the setting in which the assessment was conducted and the complexity of the patient's symptomatology. These results highlight the need to develop and disseminate clinically feasible evidence-based assessment practices that can be implemented within resource-constrained service settings. (PsycINFO Database Record

The Length of Child Anxiety Treatment in a Regional Health System.

Anxiety disorders are often undertreated due to unsuccessful dissemination of evidence-based treatments (EBTs). Lack of empirical data regarding the typical length of treatment in clinical settings may hamper the development of clinically relevant protocols. The current study examined billing records for 335 children ages 7-17 years to quantify the treatment received for newly diagnosed anxiety disorders within a regional health system. The vast majority of patients did not receive a sufficient number of appointments to complete the typical cognitive behavioral therapy protocol or reach the sessions introducing exposure. Although half of the sample received pharmacotherapy, the vast majority received fewer follow-up appointments than participants in pharmacotherapy research studies. Further, the type of treatment (i.e., number of sessions and medication) differed depending on utilization of specialty care. These results underscore the need to develop brief and flexible EBT protocols that can be standardized and implemented in community practice.

Natural language processor as a tool to assess heparin induced thrombocytopenia awareness.

The life-threatening consequences of heparin induced thrombocytopenia (HIT) may be prevented with early recognition, prompt heparin withdrawal and direct thrombin inhibitor use. To determine the level of HIT awareness, electronic term recognition software can be used to query the electronic medical record (EMR) to assess the thought process and test ordering behavior of health care providers confronted with falling platelet counts. We sought to assess the awareness of HIT in a large teaching institution using these tools. Mayo Clinic databases were queried to identify a cohort of hospitalized adults receiving heparin (06/1/08-06/1/09). Serial platelet counts for each patient were scrutinized for a 50% decrement from baseline. "Clinician awareness" was defined by mention of HIT (determined by electronic term recognition software) within the hospital record by any member of the healthcare team or requisition of platelet factor 4/heparin antibody testing. During this time period, 34,694 adults were hospitalized and 24,956 received heparin. Only 3,239 (13%) patients had more than 1 platelet count during the hospital stay. Of 199 patients (6.1%) with ≥50% platelet count drop, clinician awareness was 36%. The absolute platelet count was the only independent variable associated with HIT awareness (P < 0.001). Both appropriate platelet count monitoring and HIT awareness are low at this large teaching institution. Software tools for monitoring awareness and providing realtime alerts of significant platelet count decrements may be useful.

Cost modeling of preoperative axillary ultrasound and fine-needle aspiration to guide surgery for invasive breast cancer.

PURPOSE: Preoperative axillary lymph node ultrasound (US) and fine-needle aspiration (FNA) biopsy can identify a proportion of node-positive patients and avoid sentinel lymph node (SLN) surgery and direct surgical treatment. We compared the costs with preoperative US/FNA to without US/FNA (standard of care) for invasive breast cancer. METHODS: Using decision-analytic software we constructed a model to assess the costs associated with the two preoperative strategies. Diagnostic test sensitivities and specificities were obtained from literature review. Costs were derived from Medicare payment rates and actual resource utilization. Base-case results were fully probabilistic to capture parameter uncertainty in economic results. RESULTS: Base-case results estimate total mean costs per patient of $10,947 ("$" indicates US dollars throughout) with the US/FNA strategy and $10,983 with standard of care, an incremental cost savings of $36, on average, per patient [95% confidence interval (CI) of cost difference: -$248 to $179]. Most (63%) of the simulations resulted in cost saving with axillary US/FNA. One-way sensitivity analyses suggest that results are sensitive to assumed diagnostic and surgical costs and selected diagnostic test parameters. US/FNA approach was similar in costs or cost saving relative to the standard of care for all tumor stages. CONCLUSIONS: The additional cost of performing axillary US with possible FNA in every patient is balanced, on average, by the savings from avoiding SLN in cases where metastasis can be documented preoperatively. Routine use of preoperative axillary US with FNA to guide surgical planning can decrease the overall cost of patient care for invasive breast cancer.