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Record W6949031943 · doi:10.5281/zenodo.11641084

Assessment of Patient Reported Outcomes and Satisfaction following various Orthopedic Procedures, Such as Joint Replacements, Spinal Surgeries, or Fracture Management

2023· article· en· W6949031943 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsOrthopedic surgeryOswestry Disability IndexPatient satisfactionOsteoarthritisWOMACQuality of life (healthcare)PopulationArthroplasty

Abstract

fetched live from OpenAlex

Objective: This study aimed to assess patient-reported outcomes (PROs) and satisfaction following orthopedic procedures, including joint replacements, spinal surgeries, and fracture management. Methods: A total of 208 participants who underwent orthopedic procedures were included. Demographic and clinical characteristics were collected and analyzed using descriptive statistics. PROs were evaluated using validated outcome measures specific to each procedure, including the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and the Short Form Health Survey (SF-36). Patient satisfaction ratings were collected using a structured survey. Subgroup analyses and regression analyses were conducted to explore associations between PROs, patient satisfaction, and demographic/clinical factors. Results: The study population had a mean age of 52.3 years, with a relatively balanced gender distribution. Joint replacements were performed in 45.2% of participants, followed by spinal surgeries (32.7%) and fracture management (22.1%). Participants reported significant improvements in PROs following joint replacements, with higher WOMAC and SF-36 scores indicating reduced pain, improved physical function, and better health-related quality of life. Spinal surgery patients demonstrated reduced disability and improved well-being as reflected in lower Oswestry Disability Index (ODI) scores and higher SF-36 scores. Fracture management patients showed improved functionality and quality of life, with higher SF-36 scores and lower Disability of Arm, Shoulder, and Hand (DASH) or Lower Extremity Functional Scale (LEFS) scores. Patient satisfaction ratings were high for all procedures, with joint replacement patients reporting high satisfaction with pain relief and functional improvement, spinal surgery patients reporting high satisfaction with pain management and overall treatment, and fracture management patients expressing high satisfaction with pain management and functional recovery. Subgroup analyses revealed significant differences in PRO scores and patient satisfaction ratings across the procedures, with joint replacements consistently demonstrating the highest scores. Conclusion: Orthopedic procedures, including joint replacements, spinal surgeries, and fracture management, result in significant improvements in PROs and high levels of patient satisfaction. These findings emphasize the effectiveness of these interventions in addressing pain, functional limitations, and overall well-being in patients undergoing orthopedic procedures.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.297
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2023
Admission routes1
Has abstractyes

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