Dataset Information

Assessment of Cataract Surgery Outcome Using the Modified Catquest Short-Form Instrument in China.

ABSTRACT:

Purpose

To assess cataract surgery outcome using the Rasch scaled Chinese version of the Catquest short-form.

Methods

The Chinese translated and culturally adapted version of the Catquest-9SF was interviewer-administered to patients, pre and post cataract surgery. Rasch analysis was performed on the baseline data to revise the Catquest. For the surgical outcome assessment, we stacked pre- and post-surgical Catquest data to demonstrate improvement in visual function scores and responsiveness of the instrument to cataract surgery.

Results

A total of 247 cataract patients (median age, 70 yrs; male 51.0%) completed the Catquest 9SF at baseline.The Catquest-9SF possessed adequate measurement precision of 2.15. No disordering of response categories were observed and all the items perfectly fit to the Rasch model except item 7 (outfit >1.5). A slight reduction in precision was observed after removing misfitting item 7 (Catquest-8SF-CN), but the precision value was well above the acceptable value of 2.00. Notably, the instrument was well targeted (mean person location 0.30), demonstrated no evidence of multidimensionality and DIF. At 12 months post-surgery, 74 (30%) patients came for follow-up and completed the Catquest. There was a significant improvement in the Catquest scores post cataract surgery with a considerably large effect size.

Conclusion

The Catquest-8SF-CN demonstrated promising Rasch based psychometric properties and was highly responsive to cataract surgery.

SUBMITTER: Khadka J

PROVIDER: S-EPMC5063336 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Publications

Assessment of Cataract Surgery Outcome Using the Modified Catquest Short-Form Instrument in China.

Khadka Jyoti J Huang Jinhai J Chen Haisi H Chen Chengwei C Gao Rongrong R Bao Fangjun F Zhang Sifang S Wang Qinmei Q Pesudovs Konrad K

PloS one 20161013 10

<h4>Purpose</h4>To assess cataract surgery outcome using the Rasch scaled Chinese version of the Catquest short-form.<h4>Methods</h4>The Chinese translated and culturally adapted version of the Catquest-9SF was interviewer-administered to patients, pre and post cataract surgery. Rasch analysis was performed on the baseline data to revise the Catquest. For the surgical outcome assessment, we stacked pre- and post-surgical Catquest data to demonstrate improvement in visual function scores and resp ...[more]

PMID: 27736889

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Project description:ObjectiveTo test whether crowdsourced lay raters can accurately assess cataract surgical skills.DesignTwo-armed study: independent cross-sectional and longitudinal cohorts.SettingWashington University Department of Ophthalmology.Participants and methodsSixteen cataract surgeons with varying experience levels submitted cataract surgery videos to be graded by 5 experts and 300+ crowdworkers masked to surgeon experience. Cross-sectional study: 50 videos from surgeons ranging from first-year resident to attending physician, pooled by years of training. Longitudinal study: 28 videos obtained at regular intervals as residents progressed through 180 cases. Surgical skill was graded using the modified Objective Structured Assessment of Technical Skill (mOSATS). Main outcome measures were overall technical performance, reliability indices, and correlation between expert and crowd mean scores.ResultsExperts demonstrated high interrater reliability and accurately predicted training level, establishing construct validity for the modified OSATS. Crowd scores were correlated with (r = 0.865, p < 0.0001) but consistently higher than expert scores for first, second, and third-year residents (p < 0.0001, paired t-test). Longer surgery duration negatively correlated with training level (r = -0.855, p < 0.0001) and expert score (r = -0.927, p < 0.0001). The longitudinal dataset reproduced cross-sectional study findings for crowd and expert comparisons. A regression equation transforming crowd score plus video length into expert score was derived from the cross-sectional dataset (r2 = 0.92) and demonstrated excellent predictive modeling when applied to the independent longitudinal dataset (r2 = 0.80). A group of student raters who had edited the cataract videos also graded them, producing scores that more closely approximated experts than the crowd.ConclusionsCrowdsourced rankings correlated with expert scores, but were not equivalent; crowd scores overestimated technical competency, especially for novice surgeons. A novel approach of adjusting crowd scores with surgery duration generated a more accurate predictive model for surgical skill. More studies are needed before crowdsourcing can be reliably used for assessing surgical proficiency.

Project description:PurposeEstimating the surgery length has the potential to be utilized as skill assessment, surgical training, or efficient surgical facility utilization especially if it is done in real-time as a remaining surgery duration (RSD). Surgical length reflects a certain level of efficiency and mastery of the surgeon in a well-standardized surgery such as cataract surgery. In this paper, we design and develop a real-time RSD estimation method for cataract surgery that does not require manual labeling and is transferable with minimum fine-tuning.MethodsA regression method consisting of convolutional neural networks (CNNs) and long short-term memory (LSTM) is designed for RSD estimation. The model is firstly trained and evaluated for the single main surgeon with a large number of surgeries. Then, the fine-tuning strategy is used to transfer the model to the data of the other two surgeons. Mean Absolute Error (MAE in seconds) was used to evaluate the performance of the RSD estimation. The proposed method is compared with the naïve method which is based on the statistic of the historical data. A transferability experiment is also set to demonstrate the generalizability of the method.ResultThe mean surgical time for the sample videos was 318.7 s (s) (standard deviation 83.4 s) for the main surgeon for the initial training. In our experiments, the lowest MAE of 19.4 s (equal to about 6.4% of the mean surgical time) is achieved by our best-trained model for the independent test data of the main target surgeon. It reduces the MAE by 35.5 s (-10.2%) compared to the naïve method. The fine-tuning strategy transfers the model trained for the main target to the data of other surgeons with only a small number of training data (20% of the pre-training). The MAEs for the other two surgeons are 28.3 s and 30.6 s with the fine-tuning model, which decreased by -8.1 s and -7.5 s than the Per-surgeon model (average declining of -7.8 s and 1.3% of video duration). External validation study with Cataract-101 outperformed 3 reported methods of TimeLSTM, RSDNet, and CataNet.ConclusionAn approach to build a pre-trained model for estimating RSD estimation based on a single surgeon and then transfer to other surgeons demonstrated both low prediction error and good transferability with minimum fine-tuning videos.

Dataset Information

Assessment of Cataract Surgery Outcome Using the Modified Catquest Short-Form Instrument in China.

Purpose

Methods

Results

Conclusion

Publications

Assessment of Cataract Surgery Outcome Using the Modified Catquest Short-Form Instrument in China.

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