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Medical Decision Making is a peer-reviewed journal published by SAGE, covering Health Systems, Economic Evaluations, Quality of Life, Patient-Provider Communication in Healthcare, Healthcare Policy and Management. Over its lifetime it has published 3,929 papers, which have received 153,613 citations.
| Publisher | SAGE |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Medical Decision Making. 2023;12(3):45–58.
Formats any DOI in Medical Decision Making style. No sign-up. |
| Publishes research in | Health Systems, Economic Evaluations, Quality of Life Patient-Provider Communication in Healthcare Healthcare Policy and Management Economic and Environmental Valuation Decision-Making and Behavioral Economics |
| ISSN | 0272-989X |
| Citation impact (2-yr) | 1.72 |
| h-index | 164 |
| i10-index | 2,022 |
| Top institutions publishing here | Harvard University |
| Journal website | journals.sagepub.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
BACKGROUND: Diagnostic and prognostic models are typically evaluated with measures of accuracy that do not address clinical consequences. Decision-analytic techniques allow assessment of clinical outcomes but often require collection of additional information and may be cumbersome to apply to models that yield a continuous result. The authors sought a method for evaluating and comparing prediction…
The study objective was to evaluate the psychometric properties of a decisional conflict scale (DCS) that elicits: 1) health-care consumers' uncertainty in making a health-related decision; 2) the factors contributing to the uncertainty; and 3) health-care consumers' perceived effective decision making. The DCS was developed in response to the lack of instruments available to evaluate…
Markov models are useful when a decision problem involves risk that is continuous over time, when the timing of events is important, and when important events may happen more than once. Representing such clinical settings with conventional decision trees is difficult and may require unrealistic simplifying assumptions. Markov models assume that a patient is always…
BACKGROUND: Numeracy, how facile people are with basic probability and mathematical concepts, is associated with how people perceive health risks. Performance on simple numeracy problems has been poor among populations with little as well as more formal education. Here, we examine how highly educated participants performed on a general and an expanded numeracy scale. The…
BACKGROUND: As patients become more involved in health care decisions, there may be greater opportunity for decision regret. The authors could not find a validated, reliable tool for measuring regret after health care decisions. METHODS: A 5-item scale was administered to 4 patient groups making different health care decisions. Convergent validity was determined by examining…
