2013;126(4):357.e7357.e27. Given the considerable amount of literature in this field, this updated overview provides a current and compact overall view on this topic. Categories . New York: Russell Sage Foundation; 2009. p. 20720. All data were extracted using standardized extraction forms piloted beforehand. knowledge deficit related to medication compliance. Knowledge Deficit Is there evidence to support/suggest that patient/caregiver does not . knowledge deficit related to medication compliance. Would you like email updates of new search results? Three SRs were rated to be at high risk of bias in all domains [22, 32, 36]. Use multiple learning modalities.After establishing how the patient learns best, offer choices. J Cardiovasc Pharmacol Ther. Factors such as alcoholism, exposure to chemicals, supplement deficiencies (e.g., vitamin B12, iron, folic acid) and frequent use of certain medications hamper red blood cell production and cause more anemia. Intentional and unintentional medication non-adherence in African Americans: insights from the Jackson Heart Study. Kim J, Bushnell CD, Lee HS, Han SW. Effect of adherence to antihypertensive medication on the long-term outcome after hemorrhagic stroke in Korea. Second, it can support the identification of possible adherence barriers that might be eliminated. Present small chunks of information over time. We performed a systematic literature search in MEDLINE (via PubMed) and Embase (via Embase). Our website services and content are for informational purposes only. Verbrugghe M, Verhaeghe S, Lauwaert K, Beeckman D, van Hecke A. Determinants and associated factors influencing medication adherence and persistence to oral anticancer drugs: a systematic review. The evidence synthesis of the analysed factors (according to the different diseases/therapies) is presented in Table3. Cultural Competence in Health Care: Is it important for people with chronic conditions? Future primary studies and SRs should use validated adherence measures, adjust the analysis for relevant confounding factors, avoid using arbitrary cut-offs for influencing factors (e.g., age) and report the effect measures with 95% confidence intervals.
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