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Accepted for/Published in: JMIR Diabetes

Date Submitted: Sep 25, 2023
Date Accepted: May 22, 2024

The final, peer-reviewed published version of this preprint can be found here:

Remote Foot Temperature Monitoring Among Veterans: Large Observational Study of Noncompliance and Its Correlates

Littman AJ, Timmons AK, Korpak A, Chan KC, Jones KT, Shirley S, Nordrum K, Robbins J, Masadeh S, Moy E

Remote Foot Temperature Monitoring Among Veterans: Large Observational Study of Noncompliance and Its Correlates

JMIR Diabetes 2024;9:e53083

DOI: 10.2196/53083

PMID: 39499162

PMCID: 11555900

Remote foot temperature monitoring among Veterans: A large observational study of non-compliance and its correlates

  • Alyson J Littman; 
  • Andrew K Timmons; 
  • Anna Korpak; 
  • Kwun CG Chan; 
  • Kenneth T Jones; 
  • Suzanne Shirley; 
  • Kyle Nordrum; 
  • Jeffrey Robbins; 
  • Suhail Masadeh; 
  • Ernest Moy

ABSTRACT

Background:

In home remote foot temperature (RTM) monitoring holds promise as a method to reduce foot ulceration in high-risk patients with diabetes. Few studies have evaluated adherence to this method, or evaluated factors associated with non-compliance.

Objective:

The aims of this study were to estimate non-compliance in patients who were enrolled in RTM nationally across Department of Veterans Affairs (VA) and to evaluate characteristics associated with non-compliance.

Methods:

We conducted an observational study including 1137 patients in the VA who were enrolled in RTM between January 2019 and June 2021, with follow-up through October 2021. Patient information was obtained from the VA’s electronic health record and RTM use was obtained from the company. Non-compliance was defined as using the mat < 2 days per week for more than 25% (e.g., 3 of 12 months) of follow-up months. Using a multivariable model, we calculated odds ratios and 95% confidence intervals for associations between various factors and non-compliance.

Results:

The sample was predominantly male (99%) and white (76%); 20% were Black/African American. Overall, 38% of patients were classified as non-compliant. In the multivariable model, only higher area deprivation index (ADI) was statistically significantly and inversely associated with non-compliance (ADI 50-74 vs. 1-24: OR=0.56 ); factors significantly and positively associated with non-compliance included recent history of osteomyelitis (OR=1.44), Gagne comorbidity index score >4 (vs.<0: OR=1.81), telehealth encounters (28+ vs. <6: OR=1.70), hemoglobin A1c >10 (vs. <5.7: OR=2.67), and current smoking (OR=2.06).

Conclusions:

To reduce the risk of ulcer recurrence and amputation, proactively providing additional support for self-monitoring to patients with characteristics identified in this study (poor glucose control, current smoking, high comorbidity burden) may be helpful. Furthermore, research is needed to better understand barriers to use, and whether the addition of design features may increase facilitators to use.


 Citation

Please cite as:

Littman AJ, Timmons AK, Korpak A, Chan KC, Jones KT, Shirley S, Nordrum K, Robbins J, Masadeh S, Moy E

Remote Foot Temperature Monitoring Among Veterans: Large Observational Study of Noncompliance and Its Correlates

JMIR Diabetes 2024;9:e53083

DOI: 10.2196/53083

PMID: 39499162

PMCID: 11555900

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