Evidence map›Paper›PMID 39048844›Full record

ArticleInternational ophthalmology2024

Evaluation of the impact of short term manual small incision cataract surgery (MSICS) training program on trainees with varying prior surgical experience using international council of ophthalmology-ophthalmology surgical competency assessment rubrics (ICO-OSCAR).

R Sankarananthan, Senthil Prasad, Anu Paul, Tony Alex Koshy, Kamatchi Nagu, Ramalakshmi Raman, Madhu Shekhar

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Article in International ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

R SankarananthanDepartment of Intraocular Lens and Cataract Services, Aravind Eye Hospital and Post Graduate Institute of Ophthalmology, Madurai, India.ORCID http://orcid.org/0000-0002-2015-8871
Senthil PrasadDepartment of Intraocular Lens and Cataract Services, Aravind Eye Hospital and Post Graduate Institute of Ophthalmology, Madurai, India.ORCID http://orcid.org/0000-0002-3412-7187
Anu PaulDepartment of Intraocular Lens and Cataract Services, Aravind Eye Hospital and Post Graduate Institute of Ophthalmology, Madurai, India.ORCID http://orcid.org/0000-0003-2656-1319
Tony Alex KoshyDepartment of Intraocular Lens and Cataract Services, Aravind Eye Hospital and Post Graduate Institute of Ophthalmology, Madurai, India.ORCID http://orcid.org/0000-0001-8493-7973
Kamatchi NaguDepartment of Intraocular Lens and Cataract Services, Aravind Eye Hospital and Post Graduate Institute of Ophthalmology, Madurai, India.ORCID http://orcid.org/0000-0001-7075-1027
Ramalakshmi RamanDepartment of Biostatistics, Aravind Eye Care System, Madurai, India.
Madhu ShekharDepartment of Intraocular Lens and Cataract Services, Aravind Eye Hospital and Post Graduate Institute of Ophthalmology, Madurai, India. madhushekhar93@gmail.com.ORCID http://orcid.org/0000-0001-8009-7399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the learning curve of MSICS in three different groups of trainees with varying prior MSICS experience. To evaluate the effectiveness of ICO OSCAR for objective assessment of surgical skill transfer.

methodsNinety-five MSICS trainees were divided into three groups as 1st year resident, fellow and external trainee. Each group were evaluated for their surgical skill acquisition during one month MSICS training program using ICO-OSCAR. Each trainee performed an average of 19 surgeries. The progress in the learning curve of the three groups of trainees was analyzed by evaluating the mean scores in sets of five consecutive cases. Complications during the training period were also noted.

resultsThe study evaluated a total of 1842 cases. The fellows and external trainees, with prior MSICS experience, had an initial mean score of 57.57 ± 16.16 and 56.86 ± 17.82 respectively, whereas the 1st year resident group had a relatively low initial mean score of 45.91(p = 0.009). The difference in mean scores between the 1st year resident group and other groups significantly reduced towards the end of training. The most common complications made by 1st year residents were in sclero-corneal tunnel construction. The external trainee group had statistically significant higher rates of zonular dialysis in the study.

conclusionsICO-OSCAR is an effective tool for assessing MSICS training program. Structured short term MSICS surgical training program is effective in surgical skill transfer, especially in novice surgeons.

Indexed as

Cataract ExtractionClinical CompetenceEducational MeasurementEducation, Medical, GraduateInternship and ResidencyOphthalmologyAdultFemaleHumansLearning CurveMaleMicrosurgeryMSICS learning curveMSICS trainingOSCAR scoring

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.