Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2002 Mar;5(1):16-27.
doi: 10.1046/j.1369-6513.2002.00160.x.

The role of patients' meta-preferences in the design and evaluation of decision support systems

Affiliations

The role of patients' meta-preferences in the design and evaluation of decision support systems

Jack Dowie. Health Expect. 2002 Mar.

Abstract

The arrival of new analysis-based decision technologies will necessitate a profound rethinking both of the nature of the patient-doctor relationship and of the way aids and support systems designed to improve decision-making within that relationship are designed and evaluated. One-dimensional typologies of the traditional 'paternalist/shared/informed' sort do not provide the complexity called for by the heterogeneity of patient's 'meta-preferences' regarding their relationship with a doctor on the one hand and regarding the analytical level of judgement and decision-making on the other. A multidimensional matrix embodying this distinction is proposed as a framework of the minimal complexity required for the design and evaluation of the full range of decision aids and decision modes. Essentially aids should be conceived of and evaluated cell-specifically and the search for universally satisfactory decision support systems abandoned. 'shared' and'informed' are best interpreted as attributes which may or not be in line with a patient's meta-preferences. Future research should focus on the higher level goal of better decision-making, a goal that will need to respect and reflect these meta-preferences.

PubMed Disclaimer

Figures

Figure 1
Figure 1
The cognitive dimension of the Cognitive Continuum framework.

References

    1. Pell I, Dowie J, Clarke A, Kennedy A, Bhavnani V. Development and preliminary evaluation of a Clinical Guidance Programme for the Prophylactic Oophorectomy Decision. Quality in Health Care, 2002; in press. - PMC - PubMed
    1. Robinson A, Thomson R. The potential use of decision analysis to support shared decision making in the case of uncertainty: the example of atrial fibrillation and warfarin anticoagulation. Quality in Health Care, 2000; 9 : 238–244.DOI: 10.1136/qhc.9.4.238 - DOI - PMC - PubMed
    1. Thomson R, Parkin D, Eccles M, Sudlow M, Robinson A. Decision analysis and guidelines for anticoagulant therapy to prevent stroke in patients with atrial fibrillation. The Lancet, 2000; 355 : 956–962.DOI: 10.1016/s0140-6736(00)90012-6 - DOI - PubMed
    1. Sanders GD, Hagerty CG, Sonnenberg FA, Hlatky MA, Owens DK. Distributed decision support using a web–based interface: prevention of sudden cardiac death. Medical Decision Making, 1999; 19 : 157–166. - PubMed
    1. Aoki N, Lee A, Nagata S, Obbu S, Fukui T, Beck J. Web and evidence based decision support system (WEDS) combined with clinical patient database for patients with glioma (Abstract). Medical Decision Making, 1999; 19 : 530 530.

Publication types