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Record W1898980222 · doi:10.2106/jbjs.g.00840

“Surgery Is Certainly One Good Option”: Quality and Time-Efficiency of Informed Decision-Making in Surgery

2008· article· en· W1898980222 on OpenAlexaff
Clarence H. Braddock, Pamela L. Hudak, Jacob J. Feldman, Sylvia Bereknyei Merrell, Richard M. Frankel, Wendy Levinson

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2008
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersNational Institute on AgingNational Institutes of Health
KeywordsMedicineQuality (philosophy)Decision qualityMetric (unit)Quality of life (healthcare)Decision aidsPreferenceFamily medicinePsychologySurgeryPatient satisfactionNursingOperations managementAlternative medicineEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Informed decision-making has been widely promoted in several medical settings, but little is known about the actual practice in orthopaedic surgery and there are no clear guidelines on how to improve the process in this setting. This study was designed to explore the quality of informed decision-making in orthopaedic practice and to identify excellent time-efficient examples with older patients. METHODS: We recruited orthopaedic surgeons, and patients sixty years of age or older, in a Midwestern metropolitan area for a descriptive study performed through the analysis of audiotaped physician-patient interviews. We used a valid and reliable measure to assess the elements of informed decision-making. These included discussions of the nature of the decision, the patient's role, alternatives, pros and cons, and uncertainties; assessment of the patient's understanding and his or her desire to receive input from others; and exploration of the patient's preferences and the impact on the patient's daily life. The audiotapes were scored with regard to whether there was a complete discussion of each informed-decision-making element (an IDM-18 score of 2) or a partial discussion of each element (an IDM-18 score of 1) as well as with a more pragmatic metric (the IDM-Min score), reflecting whether there was any discussion of the patient's role or preference and of the nature of the decision. The visit duration was studied in relation to the extent of the informed decision-making, and excellent time-efficient examples were sought. RESULTS: There were 141 informed-decision-making discussions about surgery, including knee and hip replacement as well as wrist/hand, shoulder, and arthroscopic surgery. Surgeons frequently discussed the nature of the decision (92% of the time), alternatives (62%), and risks and benefits (59%); they rarely discussed the patient's role (14%) or assessed the patient's understanding (12%). The IDM-18 scores of the 141 discussions averaged 5.9 (range, 0 to 15; 95% confidence interval, 5.4 to 6.5). Fifty-seven percent of the discussions met the IDM-Min criteria. The median duration of the visits was sixteen minutes; the extent of informed decision-making had only a modest relationship with the visit duration. Time-efficient strategies that were identified included use of scenarios to illustrate distinct choices, encouraging patient input, and addressing primary concerns rather than lengthy recitations of pros and cons. CONCLUSIONS: In this study, which we believe is the first to focus on informed decision-making in orthopaedic surgical practice, we found opportunities for improvement but we also found that excellent informed decision-making is feasible and can be accomplished in a time-efficient manner.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

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.

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

Opus teacher head0.288
GPT teacher head0.419
Teacher spread0.131 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations154
Published2008
Admission routes1
Has abstractyes

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