Toggle Main Menu Toggle Search

Open Access padlockePrints

PP53 “I’ve never been a big tablet taker”: a phenomenology of the experiences of medicines adherence in men with diabetes

Lookup NU author(s): Dr Adam RathboneORCiD, Professor Andy HusbandORCiD, Professor Adam ToddORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

Background Medicines adherence is a significant, global problem presenting challenges across populations as well as on an individ- ual patient level. Medicines non-adherence has consequences on social, biological and economical outcomes of the health service. Although there is a plethora of research investigating adherence to develop interventions to improve adherence, a recent Cochrane Review concluded that there was insufficient evidence of the efficacy of adherence interventions to date. Additionally there is on-going conflict about the definition of adherence and how it can be measured across different disease states. The aim of our research is to deliver key insights into the experience of medicines adherence in men with diabetes using transcendental phenomenology to describe the essential textural and structural aspects of adherence. Methods Participants were convenience sampled and recruited through community pharmacy and general medical practice. Interviews took place in patients’ homes, the university and pub- lic locations. Eight qualitative semi-structured interviews were audio-recorded, transcribed and thematically analysed (by hand and QSR NVivo10). Results The themes identified were i) experimentation ii) func- tion iii) construction/personalisation and iv) habituation. Patients in the study reported experiencing a period of fear of death and disablement when they were first prescribed a medicine. This led to experimentation with medicines socially (socialisation as a ‘tablet taker’) and symptomatically (relating symptoms to adher- ence). Patients initially felt that experimental non-adherence was ‘naughty’ but that this deviance could be sanctioned through increased socialisation with healthcare practitioners, family and friends. Patients experimented with adherence as a functional phenomenon; adherence appeared to have latent and manifest functions, resulting in a constructed personalisation of adher- ence. Patients also reported an aspect of adherence as habitual; a task-based, easy, outcome-driven phenomenon. Taking medicines appeared not to be about adherence to the prescription but adherence to a socially normalised tool for survival; functional- ised, personalised and habituated through time, exposure and experience. Conclusion In essence; adherence is an intrinsically personal yet socially-enforced phenomenon which exists manifestly as a pro- cedure of symptom-management and latently as a normalised habit of survival. Interventions to improve adherence in men with diabetes might emphasise a process of personalisation to facilitate the habituation of adherence, rather than non-adher- ence. A limitation of recruitment meant that only patients access- ing pharmacy or GP services were involved in the study; excluding a set of arguably non-adherent patients. This study is not generalizable but may be transferable to other contexts. The study has the potential for impact, as it recognises that adher- ence, despite years of research, is still predominantly understood as a bio-medical phenomenon, and presents a novel, phenom- enological approach to understanding adherence in a hard to reach group.


Publication metadata

Author(s): Rathbone AP, Husband AK, Todd A, Jamie K

Publication type: Article

Publication status: Published

Journal: Journal of Epidemiology & Community Health

Year: 2015

Volume: 69

Issue: Suppl. 1

Pages: A75-A76

Print publication date: 01/09/2015

Online publication date: 31/08/2015

Acceptance date: 11/05/2015

Publisher: BMJ Publishing Group Ltd

URL: https://doi.org/10.1136/jech-2015-206256.150

DOI: 10.1136/jech-2015-206256.150


Altmetrics

Altmetrics provided by Altmetric


Share