Literature DB >> 35768011

Clinical Decision Support for Fall Prevention: Defining End-User Needs.

Hannah Rice1, Pamela M Garabedian2, Kristen Shear3, Ragnhildur I Bjarnadottir3, Zoe Burns1, Nancy K Latham4, Denise Schentrup3, Robert J Lucero3,5, Patricia C Dykes1,6.   

Abstract

BACKGROUND AND SIGNIFICANCE: Falls in community-dwelling older adults are common, and there is a lack of clinical decision support (CDS) to provide health care providers with effective, individualized fall prevention recommendations.
OBJECTIVES: The goal of this research is to identify end-user (primary care staff and patients) needs through a human-centered design process for a tool that will generate CDS to protect older adults from falls and injuries.
METHODS: Primary care staff (primary care providers, care coordinator nurses, licensed practical nurses, and medical assistants) and community-dwelling patients aged 60 years or older associated with Brigham & Women's Hospital-affiliated primary care clinics and the University of Florida Health Archer Family Health Care primary care clinic were eligible to participate in this study. Through semi-structured and exploratory interviews with participants, our team identified end-user needs through content analysis.
RESULTS: User needs for primary care staff (n = 24) and patients (n = 18) were categorized under the following themes: workload burden; systematic communication; in-person assessment of patient condition; personal support networks; motivational tools; patient understanding of fall risk; individualized resources; and evidence-based safe exercises and expert guidance. While some of these themes are specific to either primary care staff or patients, several address needs expressed by both groups of end-users.
CONCLUSION: Our findings suggest that there are many care gaps in fall prevention management in primary care and that personalized, actionable, and evidence-based CDS has the potential to address some of these gaps. Thieme. All rights reserved.

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Year:  2022        PMID: 35768011      PMCID: PMC9242739          DOI: 10.1055/s-0042-1750360

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.762


  30 in total

1.  Three approaches to qualitative content analysis.

Authors:  Hsiu-Fang Hsieh; Sarah E Shannon
Journal:  Qual Health Res       Date:  2005-11

2.  User Requirements for a Chronic Kidney Disease Clinical Decision Support Tool to Promote Timely Referral.

Authors:  Joy Gulla; Pamela M Neri; David W Bates; Lipika Samal
Journal:  Int J Med Inform       Date:  2017-02-04       Impact factor: 4.046

3.  Medication-related clinical decision support alert overrides in inpatients.

Authors:  Karen C Nanji; Diane L Seger; Sarah P Slight; Mary G Amato; Patrick E Beeler; Qoua L Her; Olivia Dalleur; Tewodros Eguale; Adrian Wong; Elizabeth R Silvers; Michael Swerdloff; Salman T Hussain; Nivethietha Maniam; Julie M Fiskio; Patricia C Dykes; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2018-05-01       Impact factor: 4.497

4.  Designing, Conducting, and Reporting Clinical Decision Support Studies: Recommendations and Call to Action.

Authors:  Kensaku Kawamoto; Clement J McDonald
Journal:  Ann Intern Med       Date:  2020-06-02       Impact factor: 25.391

5.  Primary care physicians perceptions and practices regarding fall prevention in adult's 65 years and over.

Authors:  Taylor S Jones; Tista S Ghosh; Kimberley Horn; Jana Smith; Richard L Vogt
Journal:  Accid Anal Prev       Date:  2011-04-14

6.  Development of a Perioperative Medication-Related Clinical Decision Support Tool to Prevent Medication Errors: An Analysis of User Feedback.

Authors:  Karen C Nanji; Pamela M Garabedian; Sofia D Shaikh; Marin E Langlieb; Aziz Boxwala; William J Gordon; David W Bates
Journal:  Appl Clin Inform       Date:  2021-11-24       Impact factor: 2.342

7.  Estimation of the Time Needed to Deliver the 2020 USPSTF Preventive Care Recommendations in Primary Care.

Authors:  Natalie Privett; Shanice Guerrier
Journal:  Am J Public Health       Date:  2020-11-19       Impact factor: 9.308

8.  Lessons Learned From Implementing CDC's STEADI Falls Prevention Algorithm in Primary Care.

Authors:  Colleen M Casey; Erin M Parker; Gray Winkler; Xi Liu; Gwendolyn H Lambert; Elizabeth Eckstrom
Journal:  Gerontologist       Date:  2016-04-29

9.  Fall-risk assessment and management in clinical practice: views from healthcare providers.

Authors:  Richard H Fortinsky; Michele Iannuzzi-Sucich; Dorothy I Baker; Margaret Gottschalk; Mary B King; Cynthia J Brown; Mary E Tinetti
Journal:  J Am Geriatr Soc       Date:  2004-09       Impact factor: 5.562

Review 10.  An overview of clinical decision support systems: benefits, risks, and strategies for success.

Authors:  Reed T Sutton; David Pincock; Daniel C Baumgart; Daniel C Sadowski; Richard N Fedorak; Karen I Kroeker
Journal:  NPJ Digit Med       Date:  2020-02-06
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