What’s Next: Validating Our Findings & Building Partnerships

This is the final article in our series exploring how multiple chronic conditions (comorbidities) can elevate a patient’s fall‐risk scores. We’ve covered: Now, let’s discuss where we go from here: validating our custom tool, collaborating with others, and potentially designing longitudinal follow‐up to deepen our understanding of fall prevention. 1. Validation: Why It

This is the final article in our series exploring how multiple chronic conditions (comorbidities) can elevate a patient’s fall‐risk scores. We’ve covered:

  1. The scope of comorbidity‐related fall risk,
  2. Designing our 24‐item survey,
  3. The methods behind data collection,
  4. The key findings and their statistical significance,
  5. Real‐world stories demonstrating the daily challenges of lower scores,
  6. Practical applications—from screening to interventions.

Now, let’s discuss where we go from here: validating our custom tool, collaborating with others, and potentially designing longitudinal follow‐up to deepen our understanding of fall prevention.

1. Validation: Why It Matters

  1. Ensuring Reliability: While our survey has shown promising results in a single cross‐sectional study of 673 participants, a validation study—comparing it to established fall‐risk tools (e.g., Berg Balance Scale, Tinetti Assessment)—would confirm its accuracy and consistency.
  2. Diverse Populations: Testing the 24‐item survey in different settings (rural vs. urban clinics, rehab centers, assisted living facilities) and among varied age groups ensures it holds up across demographics.
  3. Cutoff Scores: By correlating survey results with actual fall occurrences, we can refine thresholds that might reliably flag high‐risk individuals.

2. Potential Collaboration Opportunities

  1. Healthcare Systems: Large networks could adopt the survey at multiple sites, pooling bigger data to assess how scores relate to hospitalization rates or rehab outcomes.
  2. Academic Institutions: Collaboration with universities or research groups could offer robust statistical validation, additional peer review, and potential funding.
  3. Industry & Tech: Companies developing wearables, telehealth platforms, or medication‐tracking apps might integrate the survey into their solutions, providing a seamless way to capture fall‐risk data.

Interested? Email us at researchinfo@ahcpllc.com if you’d like to pilot or adapt this survey. We’re open to partnerships that expand the reach of fall‐prevention strategies.

3. Longitudinal Follow‐Up: Tracking Actual Falls

Right now, our data is cross‐sectional, showing a snapshot of how ≥2 comorbidities correlate with lower survey scores. But imagine:

  1. 6‐Month or 12‐Month Tracking: By re‐assessing participants’ scores periodically and logging any actual falls, we can see if our tool predicts future incidents.
  2. Comparing Interventions: If Group A receives standard care and Group B gets enhanced interventions (like PT sessions or home modifications), do their scores—and real‐world fall rates—differ significantly?
  3. Cost‐Benefit Analyses: A prospective design might help quantify healthcare savings when serious falls are prevented.

4. Broader Advocacy and Awareness

Research alone won’t fix the issue of falls among the chronically ill. We also need:

  1. Policy Efforts: Encouraging payers and policymakers to reimburse preventative screenings or multi‐disciplinary fall clinics.
  2. Community Education: Empowering seniors and families with user‐friendly resources about home safety, exercise classes, and local support groups.
  3. Media Engagement: Sharing success stories to shift the conversation from “just another risk factor” to a tangible, preventable concern.

5. Recapping Our Journey

  • Comorbidities & Fall Risk: A key takeaway is that juggling two or more chronic conditions significantly elevates a person’s vulnerability to falls—an 8‐point average difference in our survey.
  • 24‐Item Survey: Helps identify functional limitations and confidence issues not always visible during routine checkups.
  • Statistical Significance: Welch’s t‐test showed a robust difference, underscoring the need to integrate this assessment into everyday practice.
  • Human Stories & Interventions: Lower scores aren’t just numbers; they reflect daily struggles—like standing up, climbing stairs, or feeling steady at night.

6. Final Call to Action

  1. Clinicians: Start incorporating comorbidity counts and a short fall‐risk screening into annual or biannual visits.
  2. Administrators: Consider multi‐disciplinary approaches—nursing, pharmacy, PT, and social work—to tackle the bigger picture of patient safety.
  3. Researchers: Join us in validating and refining the 24‐item scale. Let’s compare data sets, run longitudinal studies, and publish collaborative findings to push the field forward.

Share Your Thoughts

  • What’s your vision for better fall‐prevention in multi‐comorbidity patients?
  • Are you part of a system ready to pilot new methods or track real outcomes?

We’d love to keep this conversation going. Email us at researchinfo@ahcpllc.com or comment below. Together, we can continue building momentum against a problem that touches countless lives across all healthcare settings.

Posted by:
Dr. Pariksith Singh, Dr. Manjusri Vennamaneni, and Dr. Carlos Arias (Authors)
with Ed Laughman and Nawtej Dosanjh (Editors)
and Lynda Benson (Research Associate)
in collaboration with Access Health Care Physicians & Vedere University