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Towards generic online multicriteria decision support in patient-centred health care.
Dowie, Jack; Kjer Kaltoft, Mette; Salkeld, Glenn; Cunich, Michelle.
  • Dowie J; London School of Hygiene and Tropical Medicine, London, UK.
  • Kjer Kaltoft M; Institute of Public Health, University of Southern Denmark, Odense, Denmark.
  • Salkeld G; Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia.
  • Cunich M; NHMRC Clinical Trials Centre, University of Sydney, Sydney, NSW, Australia.
Health Expect ; 18(5): 689-702, 2015 Oct.
Article en En | MEDLINE | ID: mdl-23910715
ABSTRACT

OBJECTIVE:

To introduce a new online generic decision support system based on multicriteria decision analysis (MCDA), implemented in practical and user-friendly software (Annalisa©).

BACKGROUND:

All parties in health care lack a simple and generic way to picture and process the decisions to be made in pursuit of improved decision making and more informed choice within an overall philosophy of person- and patient-centred care.

METHODS:

The MCDA-based system generates patient-specific clinical guidance in the form of an opinion as to the merits of the alternative options in a decision, which are all scored and ranked. The scores for each option combine, in a simple expected value calculation, the best estimates available now for the performance of those options on patient-determined criteria, with the individual patient's preferences, expressed as importance weightings for those criteria. The survey software within which the Annalisa file is embedded (Elicia©) customizes and personalizes the presentation and inputs. Principles relevant to the development of such decision-specific MCDA-based aids are noted and comparisons with alternative implementations presented. The necessity to trade-off practicality (including resource constraints) with normative rigour and empirical complexity, in both their development and delivery, is emphasized.

CONCLUSION:

The MCDA-/Annalisa-based decision support system represents a prescriptive addition to the portfolio of decision-aiding tools available online to individuals and clinicians interested in pursuing shared decision making and informed choice within a commitment to transparency in relation to both the evidence and preference bases of decisions. Some empirical data establishing its usability are provided.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Atención Dirigida al Paciente / Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Año: 2015 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Atención Dirigida al Paciente / Sistemas de Apoyo a Decisiones Clínicas Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Año: 2015 Tipo del documento: Article