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Evaluating a user-centered design driven multifactorial falls risk assessment tool in primary care: a randomized

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PubMed
Summary
This summary is machine-generated.

A digital falls risk assessment tool improved completion rates in primary care. While user experience was positive, implementation requires better reimbursement and EHR integration for effective falls prevention in older adults.

Keywords:
Falls preventionMultifactorial falls risk assessment toolMultifactorial interventionOlder adultsPrimary careUser-Centered Design

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Area of Science:

  • Gerontology
  • Health Informatics
  • Primary Care Research

Background:

  • Multifactorial Falls Risk Assessment Tools (FRATs) are crucial for identifying and managing falls risk in older adults.
  • Barriers often hinder the effective implementation and utilization of traditional FRATs in clinical practice.
  • User-Centered Design (UCD) principles can enhance the usability and effectiveness of digital health tools.

Purpose of the Study:

  • To evaluate the effectiveness and implementation of a UCD-developed digital multifactorial FRAT, the Fall Analysis 2.0, within Dutch primary care settings.
  • To assess the impact of the digital FRAT on healthcare professionals' (HCPs) falls risk management behaviors.
  • To explore the user experience of HCPs with the Fall Analysis 2.0 tool.

Main Methods:

  • A randomized effectiveness-implementation study involving 19 HCPs across 15 primary care practices.
  • Participants were community-dwelling older adults (65+) at high risk of falling, randomized into intervention (Fall Analysis 2.0 + training) or usual care groups.
  • Primary outcomes included HCP falls risk management behavior and older adults' adherence motivation; secondary outcomes focused on user experience via HCP interviews.

Main Results:

  • Fully completed multifactorial falls risk assessments were significantly higher in the intervention group (86.1%) compared to the control group (3.7%) (p < .001).
  • Use of validated tools was significantly lower in the control group (11.1%) versus the intervention group.
  • HCPs reported a highly positive user experience with the Fall Analysis 2.0, though successful implementation hinges on improved reimbursement and EHR interoperability.

Conclusions:

  • The UCD-developed digital multifactorial FRAT, Fall Analysis 2.0, demonstrates significant potential for enhancing the quality of falls prevention care in primary care.
  • Digital FRATs show promise in improving assessment completion rates and tool utilization.
  • Future research is needed to differentiate the specific contributions of UCD from digitalization in improving falls prevention outcomes.