Chemical Adherence Testing for Assessing Adherence to Antihypertensive Medications: A Systematic Review and Meta-Analysis of Prevalence of Nonadherence.
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| Title: | Chemical Adherence Testing for Assessing Adherence to Antihypertensive Medications: A Systematic Review and Meta-Analysis of Prevalence of Nonadherence. |
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| Authors: | Highton, Patrick J. (AUTHOR), Funnell, Mark P. (AUTHOR), Lane, Dan (AUTHOR), Vigneswara, Vasanthy (AUTHOR), Jenkins, Sian (AUTHOR), Kacha, Ghanshyam (AUTHOR), Gillies, Clare L. (AUTHOR), Gupta, Pankaj (AUTHOR), Khunti, Kamlesh (AUTHOR) |
| Source: | Behavioral Medicine. Oct-Dec2025, Vol. 51 Issue 4, p265-279. 15p. |
| Subjects: | Patient compliance, Medical information storage & retrieval systems, Research funding, Liquid chromatography-mass spectrometry, Hypertension, CINAHL database, Antihypertensive agents, Meta-analysis, Disease prevalence, Descriptive statistics, Systematic reviews, Serum, MEDLINE, Gas chromatography, Blood plasma, Medical databases, Mass spectrometry, Sociodemographic factors, Confidence intervals, Systolic blood pressure, Data analysis software, Regression analysis |
| Abstract: | Nonadherence to antihypertensive medications is highly prevalent, driving cardiovascular risk. Chemical adherence testing (CAT) can detect the presence of medications or their metabolites in bodily fluid, though it is unclear if its use to date has been equitable. This review aimed to identify the demographics with hypertension in which CAT has been used previously, and to estimate the resulting prevalence of nonadherence. Multiple databases were searched from 2013 to February 2024. We included any published paper that reported CAT data in people with hypertension. Extracted data included: study design and setting, hypertension definition and type, participant sociodemographic factors, and prevalence of nonadherence. Data were synthesized using a random effects meta-analysis with meta-regression, or narrative synthesis. Seventy eligible papers were identified. Many papers did not present key participant sociodemographic data, including ethnicity or socioeconomic, educational or disability status. Most studies were completed in tertiary care settings, and in primarily White patients with apparent treatment-resistant hypertension. The estimated pooled prevalence of complete medication nonadherence was 15.0%, increasing to 33.0% when estimating any kind of nonadherence; heterogeneity was high in both analyses (I2 of 94.6% and 95.6%, respectively). Nonadherent patients had higher blood pressure and were prescribed more antihypertensive medications, whilst participant age showed an inverse relationship with prevalence of nonadherence. Key relevant sociodemographic factors were often not reported, limiting the understanding of CAT use in diverse populations. In order to support behavior change interventions to address medication nonadherence in underserved groups, future research should recruit diverse populations to inform equitable implementation. Review protocol registration: International Prospective Register of Systematic Reviews CRD42024505602. [ABSTRACT FROM AUTHOR] |
| Copyright of Behavioral Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 188553538 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Chemical Adherence Testing for Assessing Adherence to Antihypertensive Medications: A Systematic Review and Meta-Analysis of Prevalence of Nonadherence. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Highton%2C+Patrick+J%2E%22">Highton, Patrick J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Funnell%2C+Mark+P%2E%22">Funnell, Mark P.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lane%2C+Dan%22">Lane, Dan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vigneswara%2C+Vasanthy%22">Vigneswara, Vasanthy</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jenkins%2C+Sian%22">Jenkins, Sian</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kacha%2C+Ghanshyam%22">Kacha, Ghanshyam</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gillies%2C+Clare+L%2E%22">Gillies, Clare L.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gupta%2C+Pankaj%22">Gupta, Pankaj</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Khunti%2C+Kamlesh%22">Khunti, Kamlesh</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Behavioral+Medicine%22">Behavioral Medicine</searchLink>. Oct-Dec2025, Vol. 51 Issue 4, p265-279. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Patient+compliance%22">Patient compliance</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+information+storage+%26+retrieval+systems%22">Medical information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Liquid+chromatography-mass+spectrometry%22">Liquid chromatography-mass spectrometry</searchLink><br /><searchLink fieldCode="DE" term="%22Hypertension%22">Hypertension</searchLink><br /><searchLink fieldCode="DE" term="%22CINAHL+database%22">CINAHL database</searchLink><br /><searchLink fieldCode="DE" term="%22Antihypertensive+agents%22">Antihypertensive agents</searchLink><br /><searchLink fieldCode="DE" term="%22Meta-analysis%22">Meta-analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+prevalence%22">Disease prevalence</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Serum%22">Serum</searchLink><br /><searchLink fieldCode="DE" term="%22MEDLINE%22">MEDLINE</searchLink><br /><searchLink fieldCode="DE" term="%22Gas+chromatography%22">Gas chromatography</searchLink><br /><searchLink fieldCode="DE" term="%22Blood+plasma%22">Blood plasma</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+databases%22">Medical databases</searchLink><br /><searchLink fieldCode="DE" term="%22Mass+spectrometry%22">Mass spectrometry</searchLink><br /><searchLink fieldCode="DE" term="%22Sociodemographic+factors%22">Sociodemographic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Systolic+blood+pressure%22">Systolic blood pressure</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Nonadherence to antihypertensive medications is highly prevalent, driving cardiovascular risk. Chemical adherence testing (CAT) can detect the presence of medications or their metabolites in bodily fluid, though it is unclear if its use to date has been equitable. This review aimed to identify the demographics with hypertension in which CAT has been used previously, and to estimate the resulting prevalence of nonadherence. Multiple databases were searched from 2013 to February 2024. We included any published paper that reported CAT data in people with hypertension. Extracted data included: study design and setting, hypertension definition and type, participant sociodemographic factors, and prevalence of nonadherence. Data were synthesized using a random effects meta-analysis with meta-regression, or narrative synthesis. Seventy eligible papers were identified. Many papers did not present key participant sociodemographic data, including ethnicity or socioeconomic, educational or disability status. Most studies were completed in tertiary care settings, and in primarily White patients with apparent treatment-resistant hypertension. The estimated pooled prevalence of complete medication nonadherence was 15.0%, increasing to 33.0% when estimating any kind of nonadherence; heterogeneity was high in both analyses (I2 of 94.6% and 95.6%, respectively). Nonadherent patients had higher blood pressure and were prescribed more antihypertensive medications, whilst participant age showed an inverse relationship with prevalence of nonadherence. Key relevant sociodemographic factors were often not reported, limiting the understanding of CAT use in diverse populations. In order to support behavior change interventions to address medication nonadherence in underserved groups, future research should recruit diverse populations to inform equitable implementation. Review protocol registration: International Prospective Register of Systematic Reviews CRD42024505602. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Behavioral Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/08964289.2025.2503201 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 265 Subjects: – SubjectFull: Patient compliance Type: general – SubjectFull: Medical information storage & retrieval systems Type: general – SubjectFull: Research funding Type: general – SubjectFull: Liquid chromatography-mass spectrometry Type: general – SubjectFull: Hypertension Type: general – SubjectFull: CINAHL database Type: general – SubjectFull: Antihypertensive agents Type: general – SubjectFull: Meta-analysis Type: general – SubjectFull: Disease prevalence Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Systematic reviews Type: general – SubjectFull: Serum Type: general – SubjectFull: MEDLINE Type: general – SubjectFull: Gas chromatography Type: general – SubjectFull: Blood plasma Type: general – SubjectFull: Medical databases Type: general – SubjectFull: Mass spectrometry Type: general – SubjectFull: Sociodemographic factors Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Systolic blood pressure Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Regression analysis Type: general Titles: – TitleFull: Chemical Adherence Testing for Assessing Adherence to Antihypertensive Medications: A Systematic Review and Meta-Analysis of Prevalence of Nonadherence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Highton, Patrick J. – PersonEntity: Name: NameFull: Funnell, Mark P. – PersonEntity: Name: NameFull: Lane, Dan – PersonEntity: Name: NameFull: Vigneswara, Vasanthy – PersonEntity: Name: NameFull: Jenkins, Sian – PersonEntity: Name: NameFull: Kacha, Ghanshyam – PersonEntity: Name: NameFull: Gillies, Clare L. – PersonEntity: Name: NameFull: Gupta, Pankaj – PersonEntity: Name: NameFull: Khunti, Kamlesh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct-Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 08964289 Numbering: – Type: volume Value: 51 – Type: issue Value: 4 Titles: – TitleFull: Behavioral Medicine Type: main |
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