ArticleThe Journal of the American Academy of Orthopaedic Surgeons2020
Smartphone Data Capture Efficiently Augments Dictation for Knee Arthroscopic Surgery.
Article in The Journal of the American Academy of Orthopaedic Surgeons, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Validation of a Smartphone-Based Institutional Electronic Data Capture System for Thumb Carpometacarpal Joint Arthroplasty.Hand (New York, N.Y.) · 2023Article
- Validation of a Novel Smartphone-Based Electronic Data Capture System Following Surgical Fixation of Distal Radial Fractures.Hand (New York, N.Y.) · 2023Article
- Associations of preoperative patient mental health status and sociodemographic and clinical characteristics with baseline pain, function, and satisfaction in patients undergoing primary shoulder arthroplasty.Journal of shoulder and elbow surgery · 2021Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 2 countries.
Funding
Abstract
introductionThe objectives of this study are (1) to develop a provider-friendly, evidence-based data capture system for lower-limb orthopaedic surgeries and (2) to assess the performance of the data capture system on the dimensions of agreement with operative note and implant log, consistency of data, and speed of provider input.
methodsA multidisciplinary team developed a database and user interfaces for Android and iOS operating systems. Branching logic and discrete fields were created to streamline provider data input. One hundred patients were randomly selected from the first four months of data collection (February to June 2015). Patients were limited to those undergoing anterior cruciate ligament reconstruction, meniscal repair, partial meniscectomy, or a combination of these procedures. Duplicate data on these 100 patients were collected through chart review. These two data sets were compared. Cohen's kappa statistic was used to assess agreement.
resultsThe database and smartphone data capture tool show almost perfect agreement (kappa > 0.81) for all data tested. In addition, data are more comprehensive with near-perfect provider completion (100% for all data tested). Furthermore, provider data entry is extremely efficient (median 151-second completion time).
conclusionA well-designed database and user-friendly interface have greater potential for research utility, clinical efficiency, and, thus, cost-effectiveness when compared with standard voice-dictated operative notes. Widespread utilization of such tools can accelerate the pace and improve the quality of orthopaedic clinical research. LEVEL OF EVIDENCE: Level IV.
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Registered trials
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.