2021
DOI: 10.1038/s41598-021-88170-2
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The feasibility of the PAM intervention to support treatment-adherence in people with hypertension in primary care: a randomised clinical controlled trial

Abstract: The PAM intervention is a behavioural intervention to support adherence to anti-hypertensive medications and therefore to lower blood pressure. This feasibility trial recruited 101 nonadherent patients (54% male, mean age 65.8 years) with hypertension and high blood pressure from nine general practices in the UK. The trial had 15.5% uptake and 7.9% attrition rate. Patients were randomly allocated to two groups: the intervention group (n = 61) received the PAM intervention as an adjunct to usual care; the contr… Show more

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Cited by 5 publications
(2 citation statements)
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“…This may have led to greater reduction in BP than may have been experienced with standard usual care alone.The high dropout rate (58.6%) among enrolled and randomized participants warrants further mention. While this dropout rate is higher than other studies that involved similar digital interventions for monitoring and controlling BP and/or study populations[26][27][28], high dropout rates in studies that deployed digital health interventions are quite common in the mHealth domain and range upwards of 80% attrition, with about 49% attrition in observational studies and 40% attrition in RCTs. In his seminal piece, Eysenbach described The Law of Attrition for eHealth interventions, which describes the phenomenon of participants dropping out of a research trial prior to completion, or stopping their usage of the trial intervention before the study is over[29]…”
mentioning
confidence: 69%
“…This may have led to greater reduction in BP than may have been experienced with standard usual care alone.The high dropout rate (58.6%) among enrolled and randomized participants warrants further mention. While this dropout rate is higher than other studies that involved similar digital interventions for monitoring and controlling BP and/or study populations[26][27][28], high dropout rates in studies that deployed digital health interventions are quite common in the mHealth domain and range upwards of 80% attrition, with about 49% attrition in observational studies and 40% attrition in RCTs. In his seminal piece, Eysenbach described The Law of Attrition for eHealth interventions, which describes the phenomenon of participants dropping out of a research trial prior to completion, or stopping their usage of the trial intervention before the study is over[29]…”
mentioning
confidence: 69%
“…In the future, we plan to take additional measures of adherence (eg, from medical records) so that the relationships between these constructs, self-reported adherence, and adherence measured through more direct means can be explored. Future work could also explore the use of objective measures of medication adherence, such as urine samples [ 33 ]. Overall, this study provides a more detailed picture of the potential mechanism of action for this intervention, which can be used to support development of further interventions for this target behavior.…”
Section: Discussionmentioning
confidence: 99%