Evidence map›Paper›PMID 19015288›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making

Health decision making: lynchpin of evidence-based practice.

Bonnie Spring

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  15. Review
  16. A conditional model of evidence-based decision making.Journal of evaluation in clinical practice · 2009
    Article
  17. Theories of medical decision making and health: an evidence-based approach.Medical decision making : an international journal of the Society for Medical Decision Making
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Bonnie SpringFeinberg School of Medicine, Northwestern University, Chicago, Illinois, and Hines Hospital VA Medical Center, Chicago, Illinois 60611, USA. bspring@northwestern.edu

Funding

MULTIDISCIPLINARY CLINICAL AND TRANSLATIONAL SCIENCE (MCTS) PROGRAM (UL1)UL1RR025741 · NCRR · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GREENLAND, PHILIP · 2008 to 2011
$24.7M
WOMEN'S INTERAGENCY HIV STUDY (WIHS) ANTIRETROVIRAL TREATMENT EXPOSURE/INTENSIVEM01RR013987 · NCRR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI BUTTRICK, PETER · 2000 to 2004
$9.2M
LICENSE FOR STATISTICAL PROGRAMMING SYSTEMN01LM063512 · NLM · SAS INSTITUTE, INC. · 1996 to 2000
$861k
NCRR NIH HHS M01 RR013987NCRR NIH HHS UL1 RR025741NLM NIH HHS N01-LM-6-3512
6 · The paper itself

Abstract

unlabelledHealth decision making is both the lynchpin and the least developed aspect of evidence-based practice. The evidence-based practice process requires integrating the evidence with consideration of practical resources and patient preferences and doing so via a process that is genuinely collaborative. Yet, the literature is largely silent about how to accomplish integrative, shared decision making. IMPLICATIONS: for evidence-based practice are discussed for 2 theories of clinician decision making (expected utility and fuzzy trace) and 2 theories of patient health decision making (transtheoretical model and reasoned action). Three suggestions are offered. First, it would be advantageous to have theory-based algorithms that weight and integrate the 3 data strands (evidence, resources, preferences) in different decisional contexts. Second, patients, not providers, make the decisions of greatest impact on public health, and those decisions are behavioral. Consequently, theory explicating how provider-patient collaboration can influence patient lifestyle decisions made miles from the provider's office is greatly needed. Third, although the preponderance of data on complex decisions supports a computational approach, such an approach to evidence-based practice is too impractical to be widely applied at present. More troublesomely, until patients come to trust decisions made computationally more than they trust their providers' intuitions, patient adherence will remain problematic. A good theory of integrative, collaborative health decision making remains needed.

Indexed as

Decision MakingHealth BehaviorHealth Knowledge, Attitudes, PracticeEvidence-Based MedicineFuzzy LogicHumansLife StyleModels, PsychologicalPhysician-Patient Relations

Identifiers

PMID19015288
PMCPMC2613489

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.