Literature DB >> 11535961

Assessing the effect of patient and prescriber preference in trials of treatment of depression in general practice.

A Thornett1.   

Abstract

Preferences include the choices made by individuals when presented with options for treatment for depression, and the system of beliefs and views that underlies those choices. They are informed by the experience of previous treatment by individuals, their family and friends, information from medical professionals and the media, and incorporates biases and ideologies present within the population. Although the randomised controlled trial is generally considered to be the optimal method for evaluating the effectiveness of health care interventions, [1] patients may become less motivated to follow the treatment protocol if they are not allocated to their preferred treatment. Consequently, the relevant arms of the study may appear less effective as a result. Further, following an invitation to join a clinical trial, patients may refuse randomisation and be excluded from the trial if they have strong treatment preferences, leading to the introduction of bias and restricted ability to generalise the results, as participants may not be representative. Considerable demand has been shown by patients for psychological treatments for the treatment of depression in primary care. However, two recent studies have not demonstrated a relationship between being allowed to choose treatment and short-term depression outcome. These two studies explored primary care patients treated with antidepressants or counselling, and non-directive counselling, cognitive-behaviour therapy or usual general practitioner care. Further work is needed to determine the effects of preferences within different study designs and to explore the views of both professionals and patients using appropriate qualitative designs.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11535961

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


  4 in total

1.  Attitudes and illness factors associated with low perceived need for depression treatment among young adults.

Authors:  Benjamin W Van Voorhees; Joshua Fogel; Thomas K Houston; Lisa A Cooper; Nae-Yuh Wang; Daniel E Ford
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2006-08-01       Impact factor: 4.328

2.  ReCAP: Would Women With Breast Cancer Prefer to Receive an Antidepressant for Anxiety or Depression From Their Oncologist?

Authors:  Daniel C McFarland; Megan Johnson Shen; Kirk Harris; John Mandeli; Amy Tiersten; Jimmie Holland; Daniel C McFarland; Megan Johnson Shen; Kirk Harris; John Mandeli; Amy Tiersten; Jimmie Holland
Journal:  J Oncol Pract       Date:  2016-01-19       Impact factor: 3.840

3.  Primary care patients with depression are less accepting of treatment than those seen by mental health specialists.

Authors:  Benjamin W Van Voorhees; Lisa A Cooper; Kathryn M Rost; Paul Nutting; Lisa V Rubenstein; Lisa Meredith; Nae-Yuh Wang; Daniel E Ford
Journal:  J Gen Intern Med       Date:  2003-12       Impact factor: 5.128

4.  Considering usual medical care in clinical trial design.

Authors:  Liza Dawson; Deborah A Zarin; Ezekiel J Emanuel; Lawrence M Friedman; Bimal Chaudhari; Steven N Goodman
Journal:  PLoS Med       Date:  2009-09-29       Impact factor: 11.069

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.