Factors associated with clinical inertia in type 2 diabetes mellitus patients treated with metformin monotherapy. Kartoun, U., Iglay, K., Shankar, R R., Beam, A., Radican, L., Chatterjee, A., Pai, J. K, & Shaw, S. Current medical research and opinion, Taylor & Francis, 2019.
Factors associated with clinical inertia in type 2 diabetes mellitus patients treated with metformin monotherapy [link]Paper  abstract   bibtex   2 downloads  
AIMS: To assess demographic and clinical characteristics associated with clinical inertia in a real-world cohort of type 2 diabetes mellitus patients not at hemoglobin A1c goal (<7%) on metformin monotherapy. METHODS: Adult (≥18 years) type 2 diabetes mellitus patients who received care at Massachusetts General Hospital/Brigham and Women’s Hospital and received a new metformin prescription between 1992 and 2010 were included in the analysis. Clinical inertia was defined as two consecutive hemoglobin A1c measures ≥7% ≥3 months apart while remaining on metformin monotherapy (i.e., without add-on therapy). The association between clinical inertia and demographic and clinical characteristics was examined via logistic regression. RESULTS: Of 2,848 eligible patients, 43% did not achieve hemoglobin A1c goal of <7% 3 months after metformin monotherapy initiation. A subgroup of 1,533 patients was included in the clinical inertia analysis, of which 36% experienced clinical inertia. Asian race was associated with an increased likelihood of clinical inertia (Odds ratio, 2.43; 95% Confidence interval, 1.48–3.96), while congestive heart failure had a decreased likelihood (Odds ratio, 0.58; 95% Confidence interval, 0.32–0.98). Chronic kidney disease and cardiovascular/cerebrovascular disease had weaker associations but were directionally similar to congestive heart failure. CONCLUSIONS: Asian patients were at an increased risk of clinical inertia, whereas patients with comorbidities appeared to have their treatment more appropriately intensified. A better understanding of these factors may inform efforts to decrease likelihood for clinical inertia.
@article{kartoun2019factors,
  title={Factors associated with clinical inertia in type 2 diabetes mellitus patients treated with metformin monotherapy},
  author={Kartoun, Uri and Iglay, Kristy and Shankar, R Ravi and Beam, Andrew and Radican, Larry and Chatterjee, Arnaub and Pai, Jennifer K and Shaw, Stanley},
  journal={Current medical research and opinion},
  number={just-accepted},
  pages={1--1},
  year={2019},
  abstract={AIMS: To assess demographic and clinical characteristics associated with clinical inertia in a real-world cohort of type 2 diabetes mellitus patients not at hemoglobin A1c goal (<7%) on metformin monotherapy.

METHODS: Adult (≥18 years) type 2 diabetes mellitus patients who received care at Massachusetts General Hospital/Brigham and Women’s Hospital and received a new metformin prescription between 1992 and 2010 were included in the analysis. Clinical inertia was defined as two consecutive hemoglobin A1c measures ≥7% ≥3 months apart while remaining on metformin monotherapy (i.e., without add-on therapy). The association between clinical inertia and demographic and clinical characteristics was examined via logistic regression.

RESULTS: Of 2,848 eligible patients, 43% did not achieve hemoglobin A1c goal of <7% 3 months after metformin monotherapy initiation. A subgroup of 1,533 patients was included in the clinical inertia analysis, of which 36% experienced clinical inertia. Asian race was associated with an increased likelihood of clinical inertia (Odds ratio, 2.43; 95% Confidence interval, 1.48–3.96), while congestive heart failure had a decreased likelihood (Odds ratio, 0.58; 95% Confidence interval, 0.32–0.98). Chronic kidney disease and cardiovascular/cerebrovascular disease had weaker associations but were directionally similar to congestive heart failure.

CONCLUSIONS: Asian patients were at an increased risk of clinical inertia, whereas patients with comorbidities appeared to have their treatment more appropriately intensified. A better understanding of these factors may inform efforts to decrease likelihood for clinical inertia.},
  url_Paper={https://www.dropbox.com/s/n67gvoinw7jenwj/kartoun_clinicalinertia_2019.textClipping?dl=1},
  publisher={Taylor \& Francis},
    keywords={Healthcare}
}

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