Literature DB >> 34876657

Measuring adherence to antihypertensive medication using an objective test in older adults attending primary care: cross-sectional study.

James P Sheppard1, Ali Albasri2, Pankaj Gupta3,4, Prashanth Patel3,4, Kamlesh Khunti3,4, Una Martin5, Richard J McManus2, F D Richard Hobbs2.   

Abstract

Analysis of urine samples using liquid chromatography-tandem mass spectrometry (LC-MS/MS) has previously revealed high rates of non-adherence to antihypertensive medication. It is unclear whether these rates represent those in the general population. This study aimed to investigate whether it is feasible to collect urine samples in a primary care setting and analyse them using LC-MS/MS to detect non-adherence to antihypertensive medication. This study used a prospective, observational cohort design. Consecutive patients were recruited opportunistically from five general practices in UK primary care. They were aged ≥65 years with hypertension and had at least one antihypertensive prescription. Participants were asked to provide a urine sample for analysis of medication adherence. Samples were sent to a laboratory via post and analysed using LC-MS/MS. Predictors of adherence to medication were explored with multivariable logistic regression. Of 349 consecutive patients approached for the study, 214 (61.3%) gave informed consent and 191 (54.7%) provided a valid urine sample for analysis. Participants were aged 76.2 ± 6.6 years and taking a median of 2 antihypertensive medications (IQR 1-3). A total of 27/191 participants (14.2%) reported not taking all of their medications on the day of urine sample collection. However, LC-MS/MS analysis of samples revealed only 4/27 (9/191 in total; 4.7%) were non-adherent to some of their medications. Patients prescribed more antihypertensive medications were less likely to be adherent (OR 0.24, 95%CI 0.09-0.65). Biochemical testing for antihypertensive medication adherence is feasible in routine primary care, although non-adherence to medication is generally low, and therefore widespread testing is not indicated.
© 2021. The Author(s).

Entities:  

Year:  2021        PMID: 34876657     DOI: 10.1038/s41371-021-00646-w

Source DB:  PubMed          Journal:  J Hum Hypertens        ISSN: 0950-9240            Impact factor:   3.012


  1 in total

1.  Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis.

Authors:  Louise Foley; James Larkin; Richard Lombard-Vance; Andrew W Murphy; Lisa Hynes; Emer Galvin; Gerard J Molloy
Journal:  BMJ Open       Date:  2021-09-02       Impact factor: 3.006

  1 in total

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