Aim: To assess the quantitative and categorical agreement between two methods of measuring medication adherence: pharmacy refill-based medication possession rates and self-reported medication adherence scale. Background: Categorisation of adherence metrics using empirical cut-off scores can lead to misclassification, which can be overcome by expressing adherence as a continuous variable. Pharmacy refill-based adherence can be reported as actual rates, but the validity of expressing self-reported medication adherence scores as a continuous variable to reflect adherence is unknown and its quantitative agreement with refill-based adherence rates untested. Methods: Patients with kidney disease, including dialysis patients, from Illawarra Shoalh...
Aims and objectives: To explore clinician assessment of patient adherence and identify strategies to...
Objective: Medication non-adherence is a well-recognised issue in chronic diseases but data in patie...
Background Several measures using prescription data have been developed for estimating medication re...
Background: Medication nonadherence is a major problem in chronic kidney failure patients undergoing...
Background: Medication nonadherence is a major problem in chronic kidney failure patients undergoing...
Background: An adherence model is required to optimise medication management among chronic kidney di...
ABSTRACT Objectives Though pharmacy claims data are commonly used to study medication adherence, th...
Aims and objectives:To measure renal nurses’ perceptions on assessing medication adherence in patien...
Objectives: To develop a self-reported measure for medication adherence and compare its ability to p...
Aims and objectives:To measure renal nurses’ perceptions on assessing medication adherence in patien...
Aims and objectives: To explore clinician assessment of patient adherence and identify strategies to...
Background: End stage renal disease (ESRD) is the final stage of CKD, affecting around 7.5 million p...
Aims and objectives: To explore clinician assessment of patient adherence and identify strategies to...
BACKGROUND: Several measures using prescription data have been developed for estimating medication r...
Objectives: To develop a self-reported measure for medication adherence and compare its ability to p...
Aims and objectives: To explore clinician assessment of patient adherence and identify strategies to...
Objective: Medication non-adherence is a well-recognised issue in chronic diseases but data in patie...
Background Several measures using prescription data have been developed for estimating medication re...
Background: Medication nonadherence is a major problem in chronic kidney failure patients undergoing...
Background: Medication nonadherence is a major problem in chronic kidney failure patients undergoing...
Background: An adherence model is required to optimise medication management among chronic kidney di...
ABSTRACT Objectives Though pharmacy claims data are commonly used to study medication adherence, th...
Aims and objectives:To measure renal nurses’ perceptions on assessing medication adherence in patien...
Objectives: To develop a self-reported measure for medication adherence and compare its ability to p...
Aims and objectives:To measure renal nurses’ perceptions on assessing medication adherence in patien...
Aims and objectives: To explore clinician assessment of patient adherence and identify strategies to...
Background: End stage renal disease (ESRD) is the final stage of CKD, affecting around 7.5 million p...
Aims and objectives: To explore clinician assessment of patient adherence and identify strategies to...
BACKGROUND: Several measures using prescription data have been developed for estimating medication r...
Objectives: To develop a self-reported measure for medication adherence and compare its ability to p...
Aims and objectives: To explore clinician assessment of patient adherence and identify strategies to...
Objective: Medication non-adherence is a well-recognised issue in chronic diseases but data in patie...
Background Several measures using prescription data have been developed for estimating medication re...