Patients At-Risk for Cost-Related Medication Nonadherence: A Review of the Literature View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-06

AUTHORS

Becky A. Briesacher, Jerry H. Gurwitz, Stephen B. Soumerai

ABSTRACT

OBJECTIVE: Up to 32% of older patients take less medication than prescribed to avoid costs, yet a comprehensive assessment of risk factors for cost-related nonadherence (CRN) is not available. This review examined the empirical literature to identify patient-, medication-, and provider-level factors that influence the relationship between medication adherence and medication costs. DESIGN: We conducted searches of four databases (MEDLINE, CINAHL, Sciences Citations Index Expanded, and EconLit) from 2001 to 2006 for English-language original studies. Articles were selected if the study included an explicit measure of CRN and reported results on covarying characteristics. MAIN RESULTS: We found 19 studies with empirical support for concluding that certain patients may be susceptible to CRN: research has established consistent links between medication nonadherence due to costs and financial burden, but also to symptoms of depression and heavy disease burden. Only a handful of studies with limited statistical methods provided evidence on whether patients understand the health risks of CRN or to what extent clinicians influence patients to keep taking medications when faced with cost pressures. No relationship emerged between CRN and polypharmacy. CONCLUSION: Efforts to reduce cost-related medication nonadherence would benefit from greater study of factors besides the presence of prescription drug coverage. Older patients with chronic diseases and mood disorders are at-risk for CRN even if enrolled in Medicare's new drug benefit. More... »

PAGES

864-871

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11606-007-0180-x

DOI

http://dx.doi.org/10.1007/s11606-007-0180-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022974038

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17410403


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11606-007-0180-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11606-007-0180-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11606-007-0180-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11606-007-0180-x'


 

This table displays all metadata directly associated to this object as RDF triples.

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