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Clinical Inertia in a Randomized Trial of Telemedicine-Based Chronic Disease Management: Lessons Learned.

Publication ,  Journal Article
Barton, AB; Okorodudu, DE; Bosworth, HB; Crowley, MJ
Published in: Telemed J E Health
October 2018

BACKGROUND: Treatment nonadherence and clinical inertia perpetuate poor cardiovascular disease (CVD) risk factor control. Telemedicine interventions may counter both treatment nonadherence and clinical inertia. INTRODUCTION: We explored why a telemedicine intervention designed to reduce treatment nonadherence and clinical inertia did not improve CVD risk factor control, despite enhancing treatment adherence versus usual care. METHODS: In this analysis of a randomized trial, we studied recipients of the 12-month telemedicine intervention. This intervention comprised two nurse-administered components: (1) monthly self-management education targeting improved treatment adherence; and (2) quarterly medication management facilitation designed to support treatment intensification by primary care (thereby reducing clinical inertia). For each medication management facilitation encounter, we ascertained whether patients met treatment goals, and if not, whether primary care recommended treatment intensification following the encounter. We assessed disease control associated with encounters, where intensification was/was not recommended. RESULTS: We examined 455 encounters across 182 intervention recipients (100% African Americans with type 2 diabetes). Even after accounting for valid reasons for deferring intensification (e.g., treatment nonadherence), intensification was not recommended in 67.5% of encounters in which hemoglobin A1c was above goal, 72.5% in which systolic blood pressure was above goal, and 73.9% in which low-density lipoprotein cholesterol was above goal. In each disease state, treatment intensification was more likely with poorer control. CONCLUSIONS: Despite enhancing treatment adherence, this intervention was unsuccessful in countering clinical inertia, likely explaining its lack of effect on CVD risk factors. We identify several lessons learned that may benefit investigators and healthcare systems.

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Published In

Telemed J E Health

DOI

EISSN

1556-3669

Publication Date

October 2018

Volume

24

Issue

10

Start / End Page

742 / 748

Location

United States

Related Subject Headings

  • Telemedicine
  • Self-Management
  • Risk Factors
  • Patient Education as Topic
  • Patient Compliance
  • Middle Aged
  • Medication Therapy Management
  • Medical Informatics
  • Male
  • Lipids
 

Citation

APA
Chicago
ICMJE
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Barton, A. B., Okorodudu, D. E., Bosworth, H. B., & Crowley, M. J. (2018). Clinical Inertia in a Randomized Trial of Telemedicine-Based Chronic Disease Management: Lessons Learned. Telemed J E Health, 24(10), 742–748. https://doi.org/10.1089/tmj.2017.0184
Barton, Anna Beth, Daniel E. Okorodudu, Hayden B. Bosworth, and Matthew J. Crowley. “Clinical Inertia in a Randomized Trial of Telemedicine-Based Chronic Disease Management: Lessons Learned.Telemed J E Health 24, no. 10 (October 2018): 742–48. https://doi.org/10.1089/tmj.2017.0184.
Barton AB, Okorodudu DE, Bosworth HB, Crowley MJ. Clinical Inertia in a Randomized Trial of Telemedicine-Based Chronic Disease Management: Lessons Learned. Telemed J E Health. 2018 Oct;24(10):742–8.
Barton, Anna Beth, et al. “Clinical Inertia in a Randomized Trial of Telemedicine-Based Chronic Disease Management: Lessons Learned.Telemed J E Health, vol. 24, no. 10, Oct. 2018, pp. 742–48. Pubmed, doi:10.1089/tmj.2017.0184.
Barton AB, Okorodudu DE, Bosworth HB, Crowley MJ. Clinical Inertia in a Randomized Trial of Telemedicine-Based Chronic Disease Management: Lessons Learned. Telemed J E Health. 2018 Oct;24(10):742–748.
Journal cover image

Published In

Telemed J E Health

DOI

EISSN

1556-3669

Publication Date

October 2018

Volume

24

Issue

10

Start / End Page

742 / 748

Location

United States

Related Subject Headings

  • Telemedicine
  • Self-Management
  • Risk Factors
  • Patient Education as Topic
  • Patient Compliance
  • Middle Aged
  • Medication Therapy Management
  • Medical Informatics
  • Male
  • Lipids