scholarly journals E-prescription pilot in Poland allows for identification and analysis of primary nonadherence drivers

2019 ◽  
Vol 19 (4) ◽  
pp. 244
Author(s):  
Przemysław Kardas ◽  
Janusz Cieszynski ◽  
Marcin Czech ◽  
Paweł Lewek
Keyword(s):  
Primary Nonadherence

scholarly journals Frequency of Primary Nonadherence to Acne Treatment

2015 ◽  
Vol 151 (6) ◽  
pp. 623 ◽  
Author(s):  
Kathryn L. Anderson ◽  
Emily H. Dothard ◽  
Karen E. Huang ◽  
Steven R. Feldman
Keyword(s):  
Acne Treatment ◽  
Primary Nonadherence

scholarly journals An algorithm to identify medication nonpersistence using electronic pharmacy databases

2015 ◽  
Vol 22 (5) ◽  
pp. 957-961 ◽  
Author(s):  
Melissa M Parker ◽  
Howard H Moffet ◽  
Alyce Adams ◽  
Andrew J Karter
Keyword(s):  
Healthcare Systems ◽  
Healthcare Operations ◽  
Timely Manner ◽  
Pharmacy Records ◽  
Grace Period ◽  
Adult Diabetes ◽  
Primary Nonadherence ◽  
Medication Taking Behavior ◽  
Novel Algorithm

Abstract Objective Identifying patients who are medication nonpersistent (fail to refill in a timely manner) is important for healthcare operations and research. However, consistent methods to detect nonpersistence using electronic pharmacy records are presently lacking. We developed and validated a nonpersistence algorithm for chronically used medications. Materials and Methods Refill patterns of adult diabetes patients (n = 14,349) prescribed cardiometabolic therapies were studied. We evaluated various grace periods (30-300 days) to identify medication nonpersistence, which is defined as a gap between refills that exceeds a threshold equal to the last days’ supply dispensed plus a grace period plus days of stockpiled medication. Since data on medication stockpiles are typically unavailable for ongoing users, we compared nonpersistence to rates calculated using algorithms that ignored stockpiles. Results When using grace periods equal to or greater than the number of days’ supply dispensed (i.e., at least 100 days), this novel algorithm for medication nonpersistence gave consistent results whether or not it accounted for days of stockpiled medication. The agreement (Kappa coefficients) between nonpersistence rates using algorithms with versus without stockpiling improved with longer grace periods and ranged from 0.63 (for 30 days) to 0.98 (for a 300-day grace period). Conclusions Our method has utility for health care operations and research in prevalent (ongoing) and new user cohorts. The algorithm detects a subset of patients with inadequate medication-taking behavior not identified as primary nonadherent or secondary nonadherent. Healthcare systems can most comprehensively identify patients with short- or long-term medication underutilization by identifying primary nonadherence, secondary nonadherence, and nonpersistence.

Prescription-level factors associated with primary nonadherence to dermatologic medications

2017 ◽  
Vol 29 (3) ◽  
pp. 300-304 ◽  
Author(s):  
Audrey Rutherford ◽  
Donald A. Glass ◽  
Elizabeth A. Suarez ◽  
Adewole S. Adamson
Keyword(s):  
Factors Associated ◽  
Primary Nonadherence

scholarly journals Primary Nonadherence to Antiplatelet Therapy after Revascularization

2018 ◽  
Vol 21 ◽  
pp. S64
Author(s):  
N Torres ◽  
D Medaglio ◽  
J Glasgow ◽  
J Flaherty ◽  
D Walsh ◽  
...  
Keyword(s):  
Antiplatelet Therapy ◽  
Primary Nonadherence

Evaluation of Primary Nonadherence to Oral Bisphosphonate Therapy

2013 ◽  
Vol 61 (11) ◽  
pp. 2046-2047 ◽  
Author(s):  
Keri N. Hogan ◽  
Jessica L. Milchak ◽  
Rachel M. F. Heilmann ◽  
Sarah J. Billups ◽  
Thomas Delate
Keyword(s):  
Bisphosphonate Therapy ◽  
Oral Bisphosphonate ◽  
Primary Nonadherence

scholarly journals Perceptions of Patients with Primary Nonadherence to Statin Medications

2021 ◽  
Vol 34 (1) ◽  
pp. 123-131
Author(s):  
Derjung M. Tarn ◽  
Maureen Barrientos ◽  
Mark J. Pletcher ◽  
Keith Cox ◽  
Jon Turner ◽  
...  
Keyword(s):  
Primary Nonadherence
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