Objective: Medication adherence is an important aspect of chronic disease management. Electronic health record (EHR) data are often not linked to dispensing data, limiting clinicians\u27 understanding of which of their patients fill their medications, and how to tailor care appropriately. We aimed to develop an algorithm to link EHR prescribing to claims-based dispensing data and use the results to quantify how often patients with diabetes filled prescribed chronic disease medications. Materials and Methods: We developed an algorithm linking EHR prescribing data (RxNorm terminology) to claims-based dispensing data (NDC terminology), within sample of adult (19-64) community health center (CHC) patients with diabetes from a network of CHCs ac...
We report on the first polypharmacy adherence monitoring over 371 days, integrated into a pharmaceut...
BACKGROUND: Databases are frequently used for pharmacoepidemiological research. However, most of the...
Background: Databases are frequently used for pharmacoepidemiological research. However, most of th...
Diabetes mellitus (DM) is a chronic disease affecting more than 285 people worldwide and the fourth ...
Purpose: Poor adherence to prescribed medicines is associated with increased rates of poor outcomes,...
BACKGROUND: Electronic medical records contain valuable clinical information not readily available e...
OBJECTIVEdTo create surveillance algorithms to detect diabetes and classify type 1 versus type 2 dia...
Background: Electronic diabetes registers promote structured care and enable identification of undia...
Objectives: This dissertation offers new evidence from electronic health record (EHR) data. EHRs are...
Abstract Background Health care data allow for the st...
Medication non-adherence is a major public health issue, and measuring non-adherence is a crucial st...
Background: Diabetes care requires management of complex clinical information. We examine the rela-t...
Abstract Background Electronic medical records contai...
Background: Physicians can receive federal payments for meaning-ful use of complete certified electr...
Purpose: Limited literature evaluates a sustainable process for optimization of medication alerts wh...
We report on the first polypharmacy adherence monitoring over 371 days, integrated into a pharmaceut...
BACKGROUND: Databases are frequently used for pharmacoepidemiological research. However, most of the...
Background: Databases are frequently used for pharmacoepidemiological research. However, most of th...
Diabetes mellitus (DM) is a chronic disease affecting more than 285 people worldwide and the fourth ...
Purpose: Poor adherence to prescribed medicines is associated with increased rates of poor outcomes,...
BACKGROUND: Electronic medical records contain valuable clinical information not readily available e...
OBJECTIVEdTo create surveillance algorithms to detect diabetes and classify type 1 versus type 2 dia...
Background: Electronic diabetes registers promote structured care and enable identification of undia...
Objectives: This dissertation offers new evidence from electronic health record (EHR) data. EHRs are...
Abstract Background Health care data allow for the st...
Medication non-adherence is a major public health issue, and measuring non-adherence is a crucial st...
Background: Diabetes care requires management of complex clinical information. We examine the rela-t...
Abstract Background Electronic medical records contai...
Background: Physicians can receive federal payments for meaning-ful use of complete certified electr...
Purpose: Limited literature evaluates a sustainable process for optimization of medication alerts wh...
We report on the first polypharmacy adherence monitoring over 371 days, integrated into a pharmaceut...
BACKGROUND: Databases are frequently used for pharmacoepidemiological research. However, most of the...
Background: Databases are frequently used for pharmacoepidemiological research. However, most of th...