The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Floor and ceiling effects in the OHS: an analysis of the NHS PROMs data set
Open accessAbstract
Objectives: The objective was to examine whether the Oxford Hip Score (OHS) demonstrated a floor or a ceiling effect when used to measure the outcome of hip replacement surgery in a large national cohort. Setting: Secondary database analysis of a national audit conducted in England and Wales on patient undergoing hip and knee arthroplasty in a secondary care setting. Participants: 93 253 primary arthroplasty patients completed preoperative OHS questionnaires and 69 361 completed 6-month postoperative OHS questionnaires. The population had a mean age of 67.78 (range 14–100, SD 11.3) and 59% were female. Primary Secondary Outcome Measures: Primary outcome measure was the Oxford Hip Score (OHS). Secondary outcome measures were the OHS-FCS and OHS-PCS. Floor and ceiling effects were considered present if >15% of patients achieved the worst score/floor effect (0/48) or best/ceiling effect (48/48) score. Results: Preoperatively, 0% of patients achieved the best score (48) and 0.1% achieved the worst score (0). Postoperatively, 0.1% patients achieved the worst score, but the percentage achieving the best score increased to 11.6%. Subgroup analyses demonstrated that patients between 50 and 59 years of age had the highest postoperative best score, at 15.3%. The highest postoperative OHS worst score percentage was in a group of patients who had a preoperative OHS above 41/48 at 28%. Furthermore, 22.6% of patients achieved the best postoperative OHS-PCS and 19.9% best postoperative OHS-FCS. Conclusions: Based on NHS PROMS data the overall OHS does not exhibit a ceiling or floor effect and should continue to be used as a valid measure of patient-reported outcomes for patients undergoing total hip arthroplasty. However, subscale analysis does indicate some limitations in the OHS-PCS and OHS-FCS. Trial registration number: NDORMS. Introducing standardised and evidence-based thresholds for hip and knee replacement surgery. The Arthroplasty Candidacy Help Engine (ACHE tool). HTA Project 11/63/01.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Quality criteria were proposed for measurement properties of health status questionnaires
Terwee, C. B., Bot, S. D. M., de Boer, M. R., van der Windt, D. A. W. M., Knol, D. L., Dekker, J., Bouter, L. M., & de Vet, H. C. W. (2007) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2006.03.012 · Cited by 10,764
Individual-patient monitoring in clinical practice: are available health status surveys adequate?
McHorney, C. A., & Tarlov, A. R. (1995) · Quality of Life Research · doi:10.1007/bf01593882 · Cited by 2,206
Evaluating patient-based outcome measures for use in clinical trials.
Fitzpatrick, Davey, Buxton, & Jones (1998) · Health Technology Assessment · doi:10.3310/hta2140 · Cited by 1,715
Quality of Life: The Assessment, Analysis and Interpretation of Patient‐Reported Outcomes
Fayers, P. M., & Machin, D. (2007) · doi:10.1002/9780470024522 · Cited by 865
Cited by
Measuring health literacy in Asia: Validation of the HLS-EU-Q47 survey tool in six Asian countries
Duong, T. V., Aringazina, A., Baisunova, G., Nurjanah, Pham, T. V., Pham, K. M., Truong, T. Q., Nguyen, K. T., Oo, W. M., Mohamad, E., et al. (2017) · Journal of Epidemiology · doi:10.1016/j.je.2016.09.005 · Cited by 329
Psychometric Analysis of the Perceived Stress Scale Among Healthy University Students
Anwer, S., Manzar, M. D., Alghadir, A. H., Salahuddin, M., & Abdul Hameed, U. (2020) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s268582 · Cited by 92
Alghadir, A., Manzar, M. D., Anwer, S., Albougami, A., & Salahuddin, M. (2020) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s246526 · Cited by 52
Wilkinson, T. J., Watson, E. L., Gould, D. W., Xenophontos, S., Clarke, A. L., Vogt, B. P., Viana, J. L., & Smith, A. C. (2019) · Clinical Kidney Journal · doi:10.1093/ckj/sfy071 · Cited by 52
Metadata
- Authors
- Lim, C. R., Harris, K., Dawson, J., Beard, D. J., Fitzpatrick, R., & Price, A. J.
- Venue
- BMJ Open
- Publisher
- BMJ
- Published
- 2015-07
- Volume
- 5
- Issue
- 7
- Pages
- e007765
- ISSN
- 2044-6055 (ISSN-L)
- OpenAlex
- W1859980654
- Cited by
- 291
- References
- 4
- FWCI
- 10.60
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.