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dc.contributor.authorKassavou, Aikaterini
dc.contributor.authorCourt, Charlotte A
dc.contributor.authorMirzaei, Venus
dc.contributor.authorBrimicombe, James
dc.contributor.authorEdwards, Simon
dc.contributor.authorSutton, Stephen
dc.date.accessioned2022-01-10T12:45:22Z
dc.date.available2022-01-10T12:45:22Z
dc.date.issued2021
dc.date.submitted2021-10-31
dc.identifier.issn2296-2565
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/332482
dc.description.abstractBackground: Medication adherence can prevent health risks, but many patients do not adhere to their prescribed treatment. Our recent trial found that a digital intervention was effective at improving medication adherence in non-adherent patients with Hypertension or Type 2 Diabetes; but we do not know how it brought about behavioural changes. This research is a post-trial process evaluation of the mechanism by which the intervention achieved its intended effects. Methods: A mixed methods design with quantitative and qualitative evidence synthesis was employed. Data was generated by two studies. Study 1 used questionnaires to measure the underlying mechanisms of and the medication adherence behaviour, and digital logfiles to objectively capture intervention effects on the process of behaviour change. Multilevel regression analysis on 57 complete intervention group cases tested the effects of the intervention at modifying the mechanism of behaviour change and in turn at improving medication adherence. Study 2 used in depth interviews with a subsample of 20 intervention patients, and eight practise nurses. Thematic analysis provided evidence about the overarching intervention functions and recommendations to improve intervention reach and impact in primary care. Results: Study 1 found that intervention effectiveness was significantly associated with positive changes in the underlying mechanisms of behaviour change (R 2 = 0.26, SE = 0.98, P = 0.00); and this effect was heightened twofold when the tailored intervention content and reporting on medication taking (R 2 = 0.59, SE = 0.74, P = 0.00) was interested into the regression model. Study 2 suggested that the intervention supported motivation and ability to adherence, although clinically meaningful effects would require very brief medication adherence risk appraisal and signposting to ongoing digitally delivered behavioural support during clinical consultations. Conclusion: This post trial process evaluation used objective methods to capture the intervention effect on the mechanisms of behaviour change to explain intervention effectiveness, and subjective accounts to explore the circumstances under which these effects were achieved. The results of this process evaluation will inform a large scale randomised controlled trial in primary care.
dc.languageen
dc.publisherFrontiers Media SA
dc.subjectPublic Health
dc.subjectmedication adherence
dc.subjectprocess evaluation
dc.subjectbehaviour change
dc.subjectHypertension
dc.subjectType 2 Diabetes
dc.titleProcess Evaluation of MAPS: A Highly Tailored Digital Intervention to Support Medication Adherence in Primary Care Setting.
dc.typeArticle
dc.date.updated2022-01-10T12:45:21Z
prism.publicationNameFront Public Health
prism.volume9
dc.identifier.doi10.17863/CAM.79932
dcterms.dateAccepted2021-11-30
rioxxterms.versionofrecord10.3389/fpubh.2021.806168
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidKassavou, Aikaterini [0000-0002-6562-4143]
dc.contributor.orcidMirzaei, Venus [0000-0002-4669-9211]
dc.contributor.orcidBrimicombe, James [0000-0002-3443-3256]
dc.contributor.orcidSutton, Stephen [0000-0003-1610-0404]
dc.identifier.eissn2296-2565
pubs.funder-project-idNational Institute for Health Research (NIHR) (via Cambridgeshire and Peterborough Clinical Commissioning Group (CCG)) (15859 / PB-PG-0215-36032)
cam.issuedOnline2021-12-20


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