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Validation of a Decision Regret Scale

2003· article· en· 1,441 citations· W2057806081 on OpenAlex· 10.1177/0272989x03256005

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Opus teacher head0.196
GPT teacher head0.484
Teacher spread
0.288 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

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 the scale's correlation with satisfaction measures, decisional conflict, and health outcome measures. RESULTS: The scale showed good internal consistency (Cronbach's alpha = 0.81 to 0.92). It correlated strongly with decision satisfaction (r = -0.40 to -0.60), decisional conflict (r = 0.31 to 0.52), and overall rated quality of life (r = -0.25 to -0.27). Groups differing on feelings about a decision also differed on rated regret: F(2, 190) = 31.1, P < 0.001. Regret was greater among those who changed their decisions than those who did not, t(175) = 16.11, P < 0.001. CONCLUSIONS: The scale is a useful indicator of health care decision regret at a given point in time.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
Medical Decision Making
Topic
Patient-Provider Communication in Healthcare
Field
Health Professions
Canadian institutions
University of ManitobaUniversity of OttawaQueen's UniversityMedical Council of CanadaOttawa Hospital
Funders
Keywords
RegretScale (ratio)Cronbach's alphaPsychologyFeelingHealth careReliability (semiconductor)Consistency (knowledge bases)Social psychologyPsychometricsClinical psychologyComputer scienceStatisticsMathematicsEconomics
Has abstract in OpenAlex
yes