Literature DB >> 26630088

The Influence of Clinical Decision Support on Diagnostic Accuracy in Nurse Practitioners.

Mary Jo Vetter1.   

Abstract

BACKGROUND: Clinical decision support systems (CDSSs) at the point of care are evidence-based interventions that have demonstrated incremental positive impact on quality of healthcare delivery over the past two decades. Existing best practices inform strategies to promote adoption and achievement of targeted outcomes. The purpose of this improvement project was to conduct a pilot implementation to understand the contextual factors and readiness for dissemination of a newly acquired electronic CDSS by evaluating its influence on diagnostic accuracy in nurse practitioners (NPs) functioning in a community health setting. AIMS: The specific aims of this project were to measure and compare diagnostic accuracy in a pilot group before and after CDSS use, educate clinicians about the system and pilot its use, and then leverage the experience to design the practice-wide CDSS dissemination strategy.
METHODS: The project engaged a subset of NPs from a home-based primary care practice and other organizational stakeholders who provided tangible support and necessary resources for successful adoption of this innovation in practice. A structured conceptual model of Evidence-Based Practice Improvement enhanced with elements of the Promoting Action on Research Implementation in Health Sciences framework was used to guide the development, implementation and evaluation of this practice improvement initiative. A group of seven NP representatives of the practice participated in the project. Data collection was composed of small tests of change (plan-do-study-act) cycles at the local practice level, measuring achievement of improvement of the chosen outcome of correctness of medical diagnosis evidenced by appropriate substantiating clinical documentation. LINKING EVIDENCE TO ACTION: In this home visiting primary care practice setting, use of a CDSS by NPs achieved eventual improvement in diagnostic accuracy and clinical documentation, as demonstrated on chart audit, though the improvement was not sustained over time. The pilot findings ultimately informed decision making about CDSS dissemination strategies and future uses of the system. When appropriately deployed, a CDSS offers the potential to improve professional practice, support differential diagnosis and evidence-based treatment, and provide detailed information about the disease state to facilitate robust clinical documentation.
© 2015 Sigma Theta Tau International.

Keywords:  Evidence-Based Practice Improvement model; clinical decision support system; diagnosis; nurse practitioner; pilot study; promoting action research in health sciences framework

Mesh:

Year:  2015        PMID: 26630088     DOI: 10.1111/wvn.12121

Source DB:  PubMed          Journal:  Worldviews Evid Based Nurs        ISSN: 1545-102X            Impact factor:   2.931


  3 in total

1.  Automation in nursing decision support systems: A systematic review of effects on decision making, care delivery, and patient outcomes.

Authors:  Saba Akbar; David Lyell; Farah Magrabi
Journal:  J Am Med Inform Assoc       Date:  2021-10-12       Impact factor: 7.942

2.  Applying the Plan-Do-Study-Act (PDSA) approach to a large pragmatic study involving safety net clinics.

Authors:  Jennifer Coury; Jennifer L Schneider; Jennifer S Rivelli; Amanda F Petrik; Evelyn Seibel; Brieshon D'Agostini; Stephen H Taplin; Beverly B Green; Gloria D Coronado
Journal:  BMC Health Serv Res       Date:  2017-06-19       Impact factor: 2.655

3.  Nurses' decision-making about cancer patients' end-of-life skin care in Wales: an exploratory mixed-method vignette study protocol.

Authors:  Ray Samuriwo; Candida Lovell-Smith; Sally Anstey; Claire Job; Jane Hopkinson
Journal:  BMJ Open       Date:  2020-07-05       Impact factor: 2.692

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.