2021
DOI: 10.1016/j.sapharm.2021.02.002
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Continuous medication monitoring: A clinical model to predict adherence to medications among chronic kidney disease patients

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Cited by 5 publications
(2 citation statements)
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References 38 publications
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“…This outcome was consistent with Griva et al reported that more than half of the patients in their research were male (Griva et al, 2014). A study by Chironda& Bhengu (2016) found that slightly more than twothirds of patients were male and that being a man is consistently associated with non-adherence (Islahudin et al, 2021). Their findings are similar to our own where the mean age of the participant was 49.54 ± 9.50 years and 62% of the population was male.…”
Section: Resultssupporting
confidence: 92%
“…This outcome was consistent with Griva et al reported that more than half of the patients in their research were male (Griva et al, 2014). A study by Chironda& Bhengu (2016) found that slightly more than twothirds of patients were male and that being a man is consistently associated with non-adherence (Islahudin et al, 2021). Their findings are similar to our own where the mean age of the participant was 49.54 ± 9.50 years and 62% of the population was male.…”
Section: Resultssupporting
confidence: 92%
“…Sub-optimal medication adherence is a significant threat and a great challenge in CKD patients. Islahudin et al created an innovative prediction model (to check for adherence in CKD) that helps improve medication adherence and therapeutic outcomes for CKD patients [20]. Another study by Liu et al highlighted the proficiency of the clinical pharmacist in identifying drug-related problems (DRPs) in CKD patients and ensuring their safe and effective use of medications [21].…”
Section: Role Of Pharmacists Toward Ckd Patients During a Pandemicmentioning
confidence: 99%