The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Adherence to prescribed antihypertensive drug treatments: longitudinal study of electronically compiled dosing histories
Open accessAbstract
OBJECTIVE: To describe characteristics of dosing history in patients prescribed a once a day antihypertensive medication. DESIGN: Longitudinal database study. SETTING: Clinical studies archived in database for 1989-2006. PARTICIPANTS: Patients who participated in the studies whose dosing histories were available through electronic monitoring. MAIN OUTCOME MEASURES: Persistence with prescribed antihypertensive treatment and execution of their once a day drug dosing regimens. RESULTS: The database contained dosing histories of 4783 patients with hypertension. The data came from 21 phase IV clinical studies, with lengths ranging from 30 to 330 days and involving 43 different antihypertensive drugs, including angiotensin II receptor blockers (n=2088), calcium channel blockers (n=937), angiotensin converting enzyme inhibitors (n=665), beta blockers (n=195), and diuretics (n=155). About half of the patients who were prescribed an antihypertensive drug had stopped taking it within one year. On any day, patients who were still engaged with the drug dosing regimen omitted about 10% of the scheduled doses: 42% of these omissions were of a single day's dose, whereas 43% were part of a sequence of several days (three or more days-that is, drug "holidays"). Almost half of the patients had at least one drug holiday a year. The likelihood that a patient would discontinue treatment early was inversely related to the quality of his or her daily execution of the dosing regimen. CONCLUSIONS: Early discontinuation of treatment and suboptimal daily execution of the prescribed regimens are the most common facets of poor adherence with once a day antihypertensive drug treatments. The shortfalls in drug exposure that these dosing errors create might be a common cause of low rates of blood pressure control and high variability in responses to prescribed antihypertensive drugs.
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
Comparing compliance patterns between randomized treatments
Vrijens, B., & Goetghebeur, E. (1997) · Controlled Clinical Trials · doi:10.1016/s0197-2456(96)00235-8 · Cited by 114
Self-citation
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
Self-citationMancia, 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
Mancia, G., Kreutz, R., Brunström, M., Burnier, M., Grassi, G., Januszewicz, A., Muiesan, M. L., Tsioufis, K., Agabiti-Rosei, E., Algharably, E. A. E., et al. (2023) · Journal of Hypertension · doi:10.1097/hjh.0000000000003480 · Cited by 3,473
Self-citationWilliams, 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
Self-citation
Metadata
- Authors
- Vrijens, B., Vincze, G., Kristanto, P., Urquhart, J., & Burnier, M.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2008-05-14
- Volume
- 336
- Issue
- 7653
- Pages
- 1114-1117
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- OpenAlex
- W1980533403
- Cited by
- 863
- References
- 2
- FWCI
- 30.74
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Adherence to prescribed antihypertensive drug treatments: longitudinal study of electronically compiled dosing histories. https://app.cochat.ai/papers/10.1136/bmj.39553.670231.25
- The paper
- Vrijens, B., Vincze, G., Kristanto, P., Urquhart, J., & Burnier, M. (2008). Adherence to prescribed antihypertensive drug treatments: longitudinal study of electronically compiled dosing histories. BMJ. https://doi.org/10.1136/bmj.39553.670231.25
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.