Patient Completion of Laboratory Tests to Monitor Medication Therapy: A Mixed-Methods Study
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Little is known about the contribution of patient behavior to incomplete laboratory monitoring, and the reasons for patient non-completion of ordered laboratory tests remain unclear.
To describe factors, including patient-reported reasons, associated with non-completion of ordered laboratory tests.
Mixed-Methods study including a quantitative assessment of the frequency of patient completion of ordered monitoring tests combined with qualitative, semi-structured, patient interviews.
Quantitative assessment included patients 18 years or older from a large multispecialty group practice, who were prescribed a medication requiring monitoring. Qualitative interviews included a subset of show and no-show patients prescribed a cardiovascular, anticonvulsant, or thyroid replacement medication.
Proportion of recommended monitoring tests for each medication not completed, factors associated with patient non-completion, and patient-reported reasons for non-completion.
Of 27,802 patients who were prescribed one of 34 medications, patient non-completion of ordered tests varied (range: 0–24 %, by drug-test pair). Factors associated with higher odds of test non-completion included: younger patient age (< 40 years vs. ≥ 80 years, adjusted odds ratio [AOR] 1.52, 95 % confidence interval [95 % CI] 1.27–1.83); lower medication burden (one medication vs. more than one drug, AOR for non-completion 1.26, 95 % CI 1.15–1.37), and lower visit frequency (0–5 visits/year vs. ≥ 19 visits/year, AOR 1.41, 95 % CI 1.25 to 1.59). Drug-test pairs with black box warning status were associated with greater odds of non-completion, compared to drugs without a black box warning or other guideline for testing (AOR 1.91, 95 % CI 1.66–2.19). Qualitative interviews, with 16 no-show and seven show patients, identified forgetting as the main cause of non-completion of ordered tests.
Patient non-completion contributed to missed opportunities to monitor medications, and was associated with younger patient age, lower medication burden and black box warning status. Interventions to improve laboratory monitoring should target patients as well as physicians.
KEY WORDSlaboratory monitoring patient completion drug research
- 17.Lash S, Harding J. “Abandoned prescriptions” a quantitative assessment of their cause. J Manag Care Pharm. 1995;1:193–9.Google Scholar
- 26.Rogers WH. Regression standard errors in clustered samples. Stata Tech Bull. 1993;13:19–23.Google Scholar
- 28.Wooldridge JM. Econometric Analysis of Cross Section and Panel Data. Cambridge: MIT Press; 2002.Google Scholar
- 30.Harrell FE. Regression Modeling Strategies: with Applications to Linear Models, Logistic Regression, and Survival Analysis. Springer Verlag; 2001.Google Scholar
- 39.Glaser B, Strauss A. Grounded Theory: the Discovery of Grounded Theory. New York: de Gruyter; 1967.Google Scholar
- 41.Tang PC, Ralston M, Arrigotti MF, Qureshi L, Graham J. Comparison of methodologies for calculating quality measures based on administrative data versus clinical data from an electronic health record system: implications for performance measures. J Am Med Inform Assoc. 2007;14(1):10–5.PubMedCrossRefGoogle Scholar