Embedding Adaptable Fall-Prevention Interventions in Primary Care—Small Steps, Broad Reach - Scorecard - MDSpire
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Integrating Flexible Fall-Prevention Strategies Into Primary Care: Modest Changes, Wider Impact

  • By

  • Junyi Peng

  • Rebecca Ivers

  • Maoyi Tian

  • October 16, 2026

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Clinical Scorecard: Integrating Flexible Fall-Prevention Strategies Into Primary Care: Modest Changes, Wider Impact

At a Glance

CategoryDetail
ConditionClinical topic addressed by the source article: Integrating Flexible Fall-Prevention Strategies Into Primary Care
Key MechanismsMechanisms or clinical associations described in the source article.
Target PopulationPopulation described in the source article.
Care SettingRoutine primary care in an integrated US health system

Key Highlights

  • The eSTEPS matched-pair cluster randomized trial included 11,945 adults aged 65 years or older across 22 primary care practices.
  • The EHR tool provided a noninterruptive care-gap alert, individualized strength and balance exercises, optional physical therapy referral, and patient-facing materials.
  • Adjusted outcome rates favored intervention practices for ICD-10–coded falls, ICD-10–coded fall-related injuries, and participant-reported falls or injuries.
  • Absolute differences were approximately 1.9 fewer patients with a recorded fall and 1.0 fewer with a recorded fall-related injury per 100 patient-years.
  • Exercise prescriptions were provided to 22.1% of patients in intervention practices; the trial did not include an economic evaluation.

Guideline-Based Recommendations

Diagnosis

  • The eSTEPS workflow incorporated fall-risk identification and clinical decision-making into routine primary care; the article does not specify a diagnostic protocol.

Management

  • The eSTEPS intervention offered individualized strength and balance exercises and an optional physical therapy referral.

Monitoring & Follow-up

  • eSTEPS supplied participant-facing materials through print resources, after-visit summaries, a website, and a mobile application.
  • The article notes that digital systems can extend exercise instruction, monitoring, reminders, and behavior-change support beyond the clinical encounter.

Risks

  • The article identifies health limitations, financial expenses, transportation barriers, limited availability of appropriate services, and personal beliefs about falls and exercise as potential barriers to participation.
  • Digital approaches may need to account for differences in technology access and digital literacy among older adults.

Patient & Prescribing Data

The eSTEPS cohort included 11,945 adults aged 65 years or older; mean age was 77.1 years, 67.3% were women, and 81.6% had a Charlson Comorbidity Index of 2 or higher.

Exercise prescriptions were provided to 22.1% of patients in intervention practices. The article notes that exercise prescription alone does not establish sustained behavioral change and discusses supplementary behavioral and social support.

Clinical Best Practices

  • Integrate fall-risk identification, clinical decision-making, exercise prescription, referral options, and patient resources into established primary care workflows.
  • Consider supplementary behavioral and social support to help older adults begin and continue exercise participation.
  • The article describes a potential model combining EHR-based identification and exercise prescription with caregiver participation, community engagement, and suitable human support.

Related Resources & Content

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