Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Medication adherence is a cornerstone of effective management of chronic illnesses such as diabetes, cardiovascular diseases, asthma, chronic obstructive pulmonary disease , hypertension, and chronic kidney disease. Despite major advances in pharmacotherapy, suboptimal adherence remains a persistent global challenge, with nearly half of patients failing to take medications as prescribed. Poor adherence leads to disease progression, avoidable hospitalizations, reduced quality of life, and increased healthcare expenditure. This review explores the multidimensional concept of medication adherence, examines patient, therapy, healthcare system-, and socio-economic-related barriers, and discusses the clinical and economic outcomes of non-adherence. Particular emphasis is placed on pharmacist-led interventions, including medication therapy management, patient education, motivational interviewing, digital health integration, and collaborative care models. Evidence suggests that pharmacists play a pivotal role in improving adherence and optimizing therapeutic outcomes. Future directions focusing on personalized medicine, artificial intelligence, and integrated healthcare systems are also discussed. Strengthening adherence strategies through pharmacist involvement remains essential for sustainable chronic disease management.
"Medication Adherence In Chronic Illnesses: Barriers, Outcomes, And Pharmacist-Led Strategies", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 2, page no.b81-b88, February-2026, Available :http://www.ijrti.org/papers/IJRTI2602110.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator