The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Suitability of measures of self-reported medication adherence for routine clinical use: A systematic review
Open accessAbstract
BACKGROUND: There is a recognised need to build primary care medication adherence services which are tailored to patients' needs. Continuous quality improvement of such services requires a regular working method of measuring adherence in order to monitor effectiveness. Self report has been considered the method of choice for clinical use; it is cheap, relatively unobtrusive and able to distinguish between intentional and unintentional non-adherence, which have different underlying causes and therefore require different interventions. A self report adherence measure used in routine clinical practice would ideally be brief, acceptable to patients, valid, reliable, have the ability to distinguish between different types of non-adherence and be able to be completed by or in conjunction with carers where necessary. METHODS: We systematically reviewed the literature in order to identify self report adherence measures currently available which are suitable for primary care and evaluate the extent to which they met the criteria described above. We searched the databases Medline, Embase, International Pharmaceutical Abstracts, Pharmline, CINAHL, PsycINFO and HaPI to identify studies reporting the development, validation or reliability of generic adherence measures. One reviewer screened all abstracts and assessed all relevant full text articles obtained and a second reviewer screened/assessed 10% to check reliability. RESULTS: Fifty eight measures were identified. While validation data were presented in support of the vast majority of self reported measures (54/58), data for a relatively small number of measures was presented for reliability (16/58) and time to complete (3/58). Few were designed to have the ability to be completed by or in conjunction with carers and few were able to distinguish between different types of non-adherence, which limited their ability be used effectively in the continuous improvement of targeted adherence enhancing interventions. The data available suggested that patients find it easier to estimate general adherence than to report a specific number of doses missed. Visual analogue scales can be easier for patients than other types of scale but are not suitable for telephone administration. CONCLUSIONS: There is a need for a measure which can be used in the routine continual quality monitoring of adherence services.
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Citations
Cites
1 retracted
Retracted: Predictive Validity of a Medication Adherence Measure in an Outpatient Setting
Morisky, D. E., Ang, A., Krousel‐Wood, M., & Ward, H. J. (2008) · The Journal of Clinical Hypertension · doi:10.1111/j.1751-7176.2008.07572.x · Cited by 2,877
RetractedStages and processes of self-change of smoking: Toward an integrative model of change.
Prochaska, J. O., & DiClemente, C. C. (1983) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.51.3.390 · Cited by 9,098
Concurrent and Predictive Validity of a Self-reported Measure of Medication Adherence
Morisky, D. E., Green, L. W., & Levine, D. M. (1986) · Medical Care · doi:10.1097/00005650-198601000-00007 · Cited by 5,317
Adherence to Protease Inhibitor Therapy and Outcomes in Patients with HIV Infection
Paterson, D. L., Swindells, S., Mohr, J., Brester, M., Vergis, E. N., Squier, C., Wagener, M. M., & Singh, N. (2000) · Annals of Internal Medicine · doi:10.7326/0003-4819-133-1-200007040-00004 · Cited by 3,289
The American Journal of Managed Care
(2020) · The American Journal of Managed Care · doi:10.37765/ajmc · Cited by 3,237
Interventions for enhancing medication adherence
Nieuwlaat, R., Wilczynski, N., Navarro, T., Hobson, N., Jeffery, R., Keepanasseril, A., Agoritsas, T., Mistry, N., Iorio, A., Jack, S., et al. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000011.pub4 · Cited by 2,945
Horne, R., Weinman, J., & Hankins, M. (1999) · Psychology & Health · doi:10.1080/08870449908407311 · Cited by 2,372
Chesney, M. A., Ickovics, J. R., Chambers, D. B., Gifford, A. L., Neidig, J., Zwickl, B., Wu, A. W., & PATIENT CARE COMMITTEE & ADHERENCE (2000) · AIDS Care · doi:10.1080/09540120050042891 · Cited by 1,428 · cited 1×
“The original Adult AIDS Clinical Trials Group (AACTG) instrument [92] (designed to measure adherence to HIV medication) contains an item related to accurate timing; hence these papers had to be excluded.”
MethodInterventions for enhancing medication adherence
Haynes, R. B., Ackloo, E., Sahota, N., McDonald, H. P., & Yao, X. (2008) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000011.pub3 · Cited by 1,244
Marin, D., Bazeos, A., Mahon, F.-X., Eliasson, L., Milojkovic, D., Bua, M., Apperley, J. F., Szydlo, R., Desai, R., Kozlowski, K., et al. (2010) · Journal of Clinical Oncology · doi:10.1200/jco.2009.26.3087 · Cited by 909
Self-citation
Cited by
Horne, R., Chapman, S. C. E., Parham, R., Freemantle, N., Forbes, A., & Cooper, V. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080633 · Cited by 1,174
Self-report measures of medication adherence behavior: recommendations on optimal use
Stirratt, M. J., Dunbar-Jacob, J., Crane, H. M., Simoni, J. M., Czajkowski, S., Hilliard, M. E., Aikens, J. E., Hunter, C. M., Velligan, D. I., Huntley, K., et al. (2015) · Translational Behavioral Medicine · doi:10.1007/s13142-015-0315-2 · Cited by 824
Chan, A. H. Y., Horne, R., Hankins, M., & Chisari, C. (2020) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.14193 · Cited by 523
Smartphone medication adherence apps: Potential benefits to patients and providers
Dayer, L., Heldenbrand, S., Anderson, P., Gubbins, P. O., & Martin, B. C. (2013) · Journal of the American Pharmacists Association · doi:10.1331/japha.2013.12202 · Cited by 473
Nachega, J. B., Parienti, J.-J., Uthman, O. A., Gross, R., Dowdy, D. W., Sax, P. E., Gallant, J. E., Mugavero, M. J., Mills, E. J., & Giordano, T. P. (2014) · Clinical Infectious Diseases · doi:10.1093/cid/ciu046 · Cited by 357
Metadata
- Authors
- Garfield, S., Clifford, S., Eliasson, L., Barber, N., & Willson, A.
- Venue
- BMC Medical Research Methodology
- Published
- 2011-12
- Volume
- 11
- Issue
- 1
- Pages
- 149-149
- ISSN
- 1471-2288 (ISSN-L)
- OpenAlex
- W2119562447
- Cited by
- 286
- References
- 91
- FWCI
- 2.57
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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