Evidence map›Paper›PMID 18703267›Full record

ArticleSocial science & medicine (1982)2008

How are patient characteristics relevant for physicians' clinical decision making in diabetes? An analysis of qualitative results from a cross-national factorial experiment.

Karen E Lutfey, Stephen M Campbell, Megan R Renfrew, Lisa D Marceau, Martin Roland, John B McKinlay

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Qualitative Exploration of General Practitioners' Treatment Decision-Making for Depressive Symptoms.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Psychosocial information use for clinical decisions in diabetes care.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  12. Article
  13. Article
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  15. Article
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  17. Review
  18. Article
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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

6 authors.

Karen E LutfeyNew England Research Institutes, Institute for Community Health Studies, 9 Galen Street, Watertown, MA 02472, United States. klutfey@neriscience.com
Stephen M Campbell
Megan R Renfrew
Lisa D Marceau
Martin Roland
John B McKinlay

Funding

Race/Ethnic Disparities in Diabetes: An ExperimentR01DK066425 · NIDDK · NEW ENGLAND RESEARCH INSTITUTES, INC. · PI MCKINLAY, JOHN B · 2004 to 2008
$2.3M
NIDDK NIH HHS R01 DK066425
6 · The paper itself

Abstract

Variations in medical practice have been widely documented and are a linchpin in explanations of health disparities. Evidence shows that clinical decision making varies according to patient, provider and health system characteristics. However, less is known about the processes underlying these aggregate associations and how physicians interpret various patient attributes. Verbal protocol analysis (otherwise known as 'think-aloud') techniques were used to analyze open-ended data from 244 physicians to examine which patient characteristics physicians identify as relevant for their decision making. Data are from a vignette-based factorial experiment measuring the effects of: (a) patient attributes (age, gender, race and socioeconomic status); (b) physician characteristics (gender and years of clinical experience); and (c) features of the healthcare system in two countries (USA, United Kingdom) on clinical decision making for diabetes. We find that physicians used patients' demographic characteristics only as a starting point in their assessments, and proceeded to make detailed assessments about cognitive ability, motivation, social support and other factors they consider predictive of adherence with medical recommendations and therefore relevant to treatment decisions. These non-medical characteristics of patients were mentioned with much greater consistency than traditional biophysiologic markers of risk such as race, gender, and age. Types of explanations identified varied somewhat according to patient characteristics and to the country in which the interview took place. Results show that basic demographic characteristics are inadequate to the task of capturing information physicians draw from doctor-patient encounters, and that in order to fully understand differential clinical decision making there is a need to move beyond documentation of aggregate associations and further explore the mental and social processes at work.

Indexed as

Decision MakingPatient SelectionPhysician-Patient RelationsAdultAgedAnalysis of VarianceDiabetes MellitusFemaleHealth Services ResearchHumansMaleMiddle AgedPractice Patterns, Physicians'Risk Factors

Identifiers

PMID18703267
PMCPMC2582199

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Registered trials

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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.