126
Views
1
CrossRef citations to date
0
Altmetric
Articles

“If my Plan Doesn’t Work, I’ll Follow the Doctor’s Orders.” A Dialogical Self Analysis of Chronic Patients’ Medical Treatment Ambivalence

ORCID Icon
Pages 656-676 | Received 14 Sep 2019, Accepted 06 Dec 2020, Published online: 27 Dec 2020
 

Abstract

A patient's ambivalence toward medical and psychotherapeutic treatment is a strong predictor of its outcome. This is especially relevant in the treatment of common chronic conditions such as hypertension (HT), in which most patients do not maintain the lifestyle changes that lie at the heart of the medical treatment. Despite the growing theoretical interest, there is little empirical research on how patients deal with and resolve their ambivalence, and almost all of the studies focus on psychotherapy clients, not on chronic illness patients. This study aims to understand how patients with AHT deal with their ambivalence toward their medical treatment, using dialogical self-theory and qualitative research methods. We interviewed 51 hypertensive patients to identify their anti and pro adherence “voices” and the different strategies patients use for dealing with their ambivalence. Results describe integration strategies, which allow both opposing voices to express themselves and be heard, and domination strategies which reject or dismiss one of the voices. The temporal dynamics between PRO and ANTI adherence voices during the interviews are also explored. These results are discussed to contribute to the research on ambivalence and support concrete guidelines for dealing with patient nonadherence.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 358.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.