The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Predictors of Decline in Medication Adherence: Results From the Cohort Study of Medication Adherence Among Older Adults
Open accessAbstract
Few data are available on the predictors of decline in antihypertensive medication adherence and the association of decline in adherence with subsequent blood pressure (BP) control. The current analysis included 1965 adults from the Cohort Study of Medication Adherence Among Older Adults recruited between August 2006 and September 2007. Decline in antihypertensive medication adherence was defined as a ≥2-point decrease on the 8-item Morisky Medication Adherence Scale assessed during telephone surveys 1 and 2 years after baseline. Risk factors for decline in adherence were collected using telephone surveys and administrative databases. BP was abstracted from outpatient records. The annual rate for a decline in adherence was 4.3% (159 participants experienced a decline). After multivariable adjustment, a decline in adherence was associated with an odds ratio (OR) for uncontrolled BP (≥140/90 mm Hg) at follow-up of 1.68 (95% CI: 1.01–2.80). Depressive symptoms (OR: 1.84 [95% CI: 1.20–2.82]) and a high stressful life events score (OR: 1.68 [95% CI: 1.19–2.38]) were associated with higher ORs for a decline in adherence. Female sex (OR: 0.61 [95% CI: 0.42–0.88]), being married (OR: 0.68 [95% CI: 0.47–0.98]), and calcium channel blocker use (OR: 0.68 [95% CI: 0.48–0.97]) were associated with lower ORs for decline. In summary, a decline in antihypertensive medication adherence was associated with uncontrolled BP. Modifiable factors associated with decline were identified. Further research is warranted to determine whether interventions can prevent the decline in antihypertensive medication adherence and improve BP control.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Self-citationRetractedChobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jones, D. W., Materson, B. J., Oparil, S., Wright, J. T., et al. (2003) · Hypertension · doi:10.1161/01.hyp.0000107251.49515.c2 · Cited by 13,271
Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases
DEYO, R. (1992) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(92)90133-8 · Cited by 10,452
Osterberg, L., & Blaschke, T. (2005) · New England Journal of Medicine · doi:10.1056/nejmra050100 · Cited by 7,974
Sherbourne, C. D., & Stewart, A. L. (1991) · Social Science & Medicine · doi:10.1016/0277-9536(91)90150-b · Cited by 6,643
DiMatteo, M. R., Lepper, H. S., & Croghan, T. W. (2000) · Archives of Internal Medicine · doi:10.1001/archinte.160.14.2101 · Cited by 4,177
Patient Adherence and Medical Treatment Outcomes: A Meta-Analysis
Robin DiMatteo, M., Giordani, P. J., Lepper, H. S., & Croghan, T. W. (2002) · Medical Care · doi:10.1097/00005650-200209000-00009 · Cited by 1,490
Medication Adherence: Its Importance in Cardiovascular Outcomes
Ho, P. M., Bryson, C. L., & Rumsfeld, J. S. (2009) · Circulation · doi:10.1161/circulationaha.108.768986 · Cited by 1,488
Lichtman, J. H., Bigger, J. T., Blumenthal, J. A., Frasure-Smith, N., Kaufmann, P. G., Lespérance, F., Mark, D. B., Sheps, D. S., Taylor, C. B., & Froelicher, E. S. (2008) · Circulation · doi:10.1161/circulationaha.108.190769 · Cited by 1,482
Prevalence, Awareness, Treatment, and Control of Hypertension Among United States Adults 1999–2004
Ong, K. L., Cheung, B. M. Y., Man, Y. B., Lau, C. P., & Lam, K. S. L. (2007) · Hypertension · doi:10.1161/01.hyp.0000252676.46043.18 · Cited by 1,395
Cited by
(2013) · European Heart Journal · doi:10.1093/eurheartj/eht151 · Cited by 13,655
2018 ESC/ESH Guidelines for the management of arterial hypertension
Williams, B., Mancia, G., Spiering, W., Agabiti Rosei, E., Azizi, M., Burnier, M., Clement, D. L., Coca, A., de Simone, G., Dominiczak, A., et al. (2018) · European Heart Journal · doi:10.1093/eurheartj/ehy339 · Cited by 10,286
Mancia, G., Fagard, R., Narkiewicz, K., Redón, J., Zanchetti, A., Böhm, M., Christiaens, T., Cifkova, R., De Backer, G., Dominiczak, A., et al. (2013) · Journal of Hypertension · doi:10.1097/01.hjh.0000431740.32696.cc · Cited by 5,655
Williams, B., Mancia, G., Spiering, W., Agabiti Rosei, E., Azizi, M., Burnier, M., Clement, D. L., Coca, A., de Simone, G., Dominiczak, A., et al. (2018) · Journal of Hypertension · doi:10.1097/hjh.0000000000001940 · Cited by 2,885
Trial of Intensive Blood-Pressure Control in Older Patients with Hypertension
Zhang, W., Zhang, S., Deng, Y., Wu, S., Ren, J., Sun, G., Yang, J., Jiang, Y., Xu, X., Wang, T.-D., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2111437 · Cited by 784
Metadata
- Authors
- Krousel-Wood, M., Joyce, C., Holt, E., Muntner, P., Webber, L. S., Morisky, D. E., Frohlich, E. D., & Re, R. N.
- Venue
- Hypertension
- Published
- 2011-11
- Volume
- 58
- Issue
- 5
- Pages
- 804-810
- ISSN
- 0194-911X (ISSN-L)
- 1524-4563
- OpenAlex
- W2151061107
- Cited by
- 160
- References
- 13
- FWCI
- 8.33
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Predictors of Decline in Medication Adherence: Results From the Cohort Study of Medication Adherence Among Older Adults. https://app.cochat.ai/papers/10.1161/hypertensionaha.111.176859
- The paper
- Krousel-Wood, M., Joyce, C., Holt, E., Muntner, P., Webber, L. S., Morisky, D. E., Frohlich, E. D., & Re, R. N. (2011). Predictors of Decline in Medication Adherence: Results From the Cohort Study of Medication Adherence Among Older Adults. Hypertension. https://doi.org/10.1161/hypertensionaha.111.176859
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
