Injuries Associated With Subsequent Child Maltreatment Diagnosis: By Age, Race, Gender, and Medicaid Status

2021 ◽  
pp. 107755952110313
Author(s):  
Sonya Negriff ◽  
Mercie J. DiGangi ◽  
Adam L. Sharp ◽  
Jun Wu
Keyword(s):  
Head Injury ◽  
Child Maltreatment ◽  
Healthcare Providers ◽  
Clinical Decision ◽  
Retrospective Case ◽  
Medical Visits ◽  
Diagnosis Codes ◽  
Support Tools ◽  
Race Ethnicity ◽  
Clinical Decision Support Tools

This study examined injuries that may precede a child maltreatment (CM) diagnosis, by age, race/ethnicity, gender, and Medicaid status using a retrospective case–control design among child members of a large integrated healthcare system ( N = 9152 participants, n = 4576 case). Injury categories based on diagnosis codes from medical visits were bruising, fractures, lacerations, head injury, burns, falls, and unspecified injury. Results showed that all injury categories were significant predictors of a subsequent CM diagnosis, but only for children < 3 years old. Specifically, fracture and head injury were the highest risk for a subsequent CM diagnosis. All injury types were significant predictors of maltreatment diagnosis for Hispanic children < 3 years, which was not the case for the other race/ethnicities. Overall, these findings suggest that all types of injury within these specific categories should have a more thorough assessment for possible abuse for children under 3 years. This work can inform the development of clinical decision support tools to aid healthcare providers in detecting abusive injuries.

scholarly journals Development and initial implementation of electronic clinical decision supports for recognition and management of hospital-acquired acute kidney injury

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Megan Howarth ◽  
Meha Bhatt ◽  
Eleanor Benterud ◽  
Anna Wolska ◽  
Evan Minty ◽  
...  
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Healthcare Providers ◽  
Kidney Injury ◽  
Clinical Decision ◽  
Acceptance Testing ◽  
Decision Support Tools ◽  
Support Tools ◽  
Clinical Decision Support Tools ◽  
Order Set

Abstract Background Acute kidney injury (AKI) is common in hospitalized patients and is associated with poor patient outcomes and high costs of care. The implementation of clinical decision support tools within electronic medical record (EMR) could improve AKI care and outcomes. While clinical decision support tools have the potential to enhance recognition and management of AKI, there is limited description in the literature of how these tools were developed and whether they meet end-user expectations. Methods We developed and evaluated the content, acceptability, and usability of electronic clinical decision support tools for AKI care. Multi-component tools were developed within a hospital EMR (Sunrise Clinical Manager™, Allscripts Healthcare Solutions Inc.) currently deployed in Calgary, Alberta, and included: AKI stage alerts, AKI adverse medication warnings, AKI clinical summary dashboard, and an AKI order set. The clinical decision support was developed for use by multiple healthcare providers at the time and point of care on general medical and surgical units. Functional and usability testing for the alerts and clinical summary dashboard was conducted via in-person evaluation sessions, interviews, and surveys of care providers. Formal user acceptance testing with clinical end-users, including physicians and nursing staff, was conducted to evaluate the AKI order set. Results Considerations for appropriate deployment of both non-disruptive and interruptive functions was important to gain acceptability by clinicians. Functional testing and usability surveys for the alerts and clinical summary dashboard indicated that the tools were operating as desired and 74% (17/23) of surveyed healthcare providers reported that these tools were easy to use and could be learned quickly. Over three-quarters of providers (18/23) reported that they would utilize the tools in their practice. Three-quarters of the participants (13/17) in user acceptance testing agreed that recommendations within the order set were useful. Overall, 88% (15/17) believed that the order set would improve the care and management of AKI patients. Conclusions Development and testing of EMR-based decision support tools for AKI with clinicians led to high acceptance by clinical end-users. Subsequent implementation within clinical environments will require end-user education and engagement in system-level initiatives to use the tools to improve care.

scholarly journals 72. Improving Antibiotic Prescribing in Interventional Radiology Using Clinical Decision Support Tools to Assess Penicillin Allergies

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S54-S54
Author(s):  
Vidya Atluri ◽  
Paula Marsland ◽  
Luke M Johnson ◽  
Rupali Jain ◽  
Paul Pottinger ◽  
...  
Keyword(s):  
Interventional Radiology ◽  
Decision Support ◽  
Clinical Decision Support ◽  
Clinical Decision ◽  
Prophylactic Antibiotics ◽  
Decision Support Tools ◽  
First Line ◽  
Support Tools ◽  
History Of ◽  
Clinical Decision Support Tools

Abstract Background Patients labeled with penicillin allergies often receive alternative antibiotics, leading to increased cost, higher risk of adverse events, and decreased efficacy of procedural prophylaxis. However, most of those patients can tolerate a cephalosporin. University of Washington Medical Center – Montlake (UWMC-ML) Interventional Radiology (IR) frequently administer a pre-procedure prophylactic cephalosporin. We worked with the clinicians in IR to develop tools to allow them to better assess penicillin allergies, make the most appropriate antibiotic choice, and update the patient’s allergy documentation. Methods We identified all patients who underwent procedures in IR between 2017–2019. Chart review was done to determine the procedures performed, patient demographic information, allergies, allergy documentation, and prophylactic antibiotics received. In May 2020 we implemented new Clinical Decision Support tools, including an online assessment app (https://tinyurl.com/IRPCNAllAssess) and handouts to guide antibiotic decision making to clinicians in IR. Results From 2017 to 2019, 381 patients underwent 958 procedures in IR. Of those, 379 patients underwent 496 procedures for which the recommended first line choice for antibiotic prophylaxis is a cephalosporin. Of patients who received pre-procedure prophylactic antibiotics for those procedures, 15.9% [n=11] of patients with penicillin allergies received the first line antibiotic, compared to 89.9% [n=319] of patients without a reported penicillin allergy. Since implementation, the online app has been used to evaluate 9 patients, of whom 8 had penicillin allergies. All 8 patients safely received the first line antibiotic (3 were delabeled, 4 reported a history of mild reactions, and 1 reported a history of an immediate IgE mediated response to penicillin but safely received cefazolin). Conclusion IR evaluates hundreds of patients who may receive prophylactic antibiotics each year. By providing tools to assess penicillin allergies, we were able to improve both their prescribing and de-label patients which will provide a much broader impact on their care than on just their current procedure. Our free tool can be accessed at the website above, and we will demonstrate in person. Disclosures All Authors: No reported disclosures

scholarly journals Model-Informed Precision Dosing: Background, Requirements, Validation, Implementation, and Forward Trajectory of Individualizing Drug Therapy

2021 ◽  
Vol 61 (1) ◽  
pp. 225-245 ◽  
Author(s):  
Adam S. Darwich ◽  
Thomas M. Polasek ◽  
Jeffrey K. Aronson ◽  
Kayode Ogungbenro ◽  
Daniel F.B. Wright ◽  
...  
Keyword(s):  
Drug Therapy ◽  
Current Knowledge ◽  
Clinical Care ◽  
Clinical Decision ◽  
Decision Support Tools ◽  
Support Tools ◽  
Drug Regulations ◽  
The Common ◽  
Clinical Decision Support Tools ◽  
Practical Validation

Model-informed precision dosing (MIPD) has become synonymous with modern approaches for individualizing drug therapy, in which the characteristics of each patient are considered as opposed to applying a one-size-fits-all alternative. This review provides a brief account of the current knowledge, practices, and opinions on MIPD while defining an achievable vision for MIPD in clinical care based on available evidence. We begin with a historical perspective on variability in dose requirements and then discuss technical aspects of MIPD, including the need for clinical decision support tools, practical validation, and implementation of MIPD in health care. We also discuss novel ways to characterize patient variability beyond the common perceptions of genetic control. Finally, we address current debates on MIPD from the perspectives of the new drug development, health economics, and drug regulations.

scholarly journals 1475. Understanding Prescribing Practices for Uncomplicated Urinary Tract Infections (UTIs) in the Primary Care Setting: A Pilot Study

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S538-S538
Author(s):  
Mark Pinkerton ◽  
Jahnavi Bongu ◽  
Aimee James ◽  
Michael Durkin
Keyword(s):  
Primary Care ◽  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Clinical Decision ◽  
Primary Care Providers ◽  
Care Providers ◽  
Prescribing Practices ◽  
Support Tools ◽  
Tract Infections ◽  
Clinical Decision Support Tools

Abstract Background Uncomplicated urinary tract infections (UTIs) should be treated empirically with a short course of narrow-spectrum antibiotics. However, many clinicians order unnecessary tests and treat with long courses of antibiotics. The objective of this study was to understand how internists clinically approach UTIs. Methods We conducted semi-structured qualitative interviews of community primary care providers (n = 15) and internal medicine residents (n = 15) in St. Louis, Missouri from 2018 to 2019 to explore why clinical practices deviate from evidence-based guidelines. Interviews were transcribed, de-identified, and coded by two independent researchers using NVivo qualitative software. A Likert scale was used to evaluate preferences for possible interventions. Results Several common themes emerged. Both providers and residents ordered urine tests to “confirm” presence of urinary tract infections. Antibiotic prescriptions were often based on historical practice and anecdotal experience. Providers were more comfortable treating over the phone than residents and tended to prescribe longer courses of antibiotics. Both providers and residents voiced frustrations with guidelines being difficult to easily incorporate due to length and extraneous information. Preferences for receiving and incorporating guidelines into practice varied. Both groups felt benchmarking would improve prescribing practices, but had reservations about implementation. Pragmatic clinical decision support tools were favored by providers, with residents preferring order sets and attendings preferring nurse triage algorithms. Conclusion Misconceptions regarding urinary tract infection management were common among residents and community primary care providers. Multifaceted interventions that include provider education, synthesis of guidelines, and pragmatic clinical decision support tools are needed to improve antibiotic prescribing and diagnostic testing; optimal interventions to improve UTI management may vary based on provider training level. Disclosures All authors: No reported disclosures.

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