» Articles » PMID: 19124808

Are Cancer-related Decision Aids Effective? A Systematic Review and Meta-analysis

Overview
Journal J Clin Oncol
Specialty Oncology
Date 2009 Jan 7
PMID 19124808
Citations 68
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: Decision aids (DAs) have been developed to improve communication between health professionals and patients, and to involve patients in decisions about their health care. Cancer-related decisions can be difficult due to problems in communicating complex information about prognosis and the modest benefits of available treatments. We conducted a systematic review of cancer-related DAs.

Methods: Randomized controlled trials (RCTs) of cancer-related DAs about screening, prevention, and treatment decision making were included. We completed a comprehensive literature search and conducted both qualitative and quantitative analyses. We also conducted a meta regression to explore heterogeneity of effect estimates.

Results: We identified 34 RCTs of DAs in a screening (n = 22 trials) or preventive/treatment (n = 12 trials) context. DAs significantly improved knowledge about screening options when compared to usual practice (weighted average effect size, 0.50; 95% CI, 0.27 to 0.73; P < .0001). A similar effect on knowledge was also found for preventive/treatment options (weighted average effect size, 0.50; 95% CI, 0.31 to 0.70; P < .0001). Overall, general anxiety was not increased in most trials and was significantly reduced in a screening context. Decisional conflict was reduced overall but not when screening and preventive/treatment studies were analyzed separately. There were few differences between different types of DAs.

Conclusion: Cancer-related DAs are effective in increasing patient knowledge compared with usual practice without increasing anxiety particularly in the area of cancer screening. Further research is needed to determine the effectiveness of DAs in the prevention and treatment context.

Citing Articles

iKNOW-Supporting the counseling of women with hereditary risk of breast and ovarian cancer with digital technologies: A randomized controlled trial.

Feufel M, Speiser D, Schuurhuis S, Neumann K, Keinert M, Stegen S Genet Med Open. 2024; 2(Suppl 2):101892.

PMID: 39712953 PMC: 11658556. DOI: 10.1016/j.gimo.2024.101892.


Comparative Effectiveness of Decision Aids for Cancer-Screening Decision Making: An Overview of Reviews.

Hibino M, Hamashima C, Hirosue M, Iwata M, Terasawa T J Gen Intern Med. 2024; 39(16):3299-3314.

PMID: 39230806 PMC: 11618552. DOI: 10.1007/s11606-024-09001-4.


Journey through the Decades: The Evolution in Treatment and Shared Decision Making for Locally Advanced Rectal Cancer.

Gaetani R, Ladin K, Abelson J Cancers (Basel). 2024; 16(16).

PMID: 39199579 PMC: 11353159. DOI: 10.3390/cancers16162807.


Effectiveness of a Decision Aid Plus Standard Care in Surgical Management Among Patients With Early Breast Cancer: A Randomized Clinical Trial.

Joshi S, Ramarajan L, Ramarajan N, Lee S, Deshpande O, Fernandes E JAMA Netw Open. 2023; 6(10):e2335941.

PMID: 37782500 PMC: 10546236. DOI: 10.1001/jamanetworkopen.2023.35941.


Decision Aids in the ICU: a scoping review.

Lei Y, Zhou Q, Tao Y BMJ Open. 2023; 13(8):e075239.

PMID: 37607783 PMC: 10445349. DOI: 10.1136/bmjopen-2023-075239.