Effectiveness of a Web-Based Electronic Prospective Data Collection Tool for Surgical Data in Shoulder Arthroplasty

2021 ◽  
Author(s):  
Sambit Sahoo ◽  
José A. Rodríguez ◽  
Matthew Serna ◽  
Kurt P. Spindler ◽  
Kathleen A. Derwin ◽  
...  
Keyword(s):  
Data Collection ◽  
Shoulder Arthroplasty ◽  
Data Collection Tool ◽  
Prospective Data ◽  
Web Based ◽  
Surgical Data

Validation of a Novel Smartphone-Based Electronic Data Capture System Following Surgical Fixation of Distal Radial Fractures

Hand ◽  
2022 ◽  
pp. 155894472110573
Author(s):  
Joseph P. Scollan ◽  
Ahmed K. Emara ◽  
Morad Chughtai ◽  
Yuxuan Jin ◽  
Joseph F. Styron
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Distal Radial Fracture ◽  
Completion Rates ◽  
Data Collection Tool ◽  
Perfect Agreement ◽  
Data Set ◽  
Prospective Data ◽  
Electronic Data Capture System ◽  
Operative Notes

Background: Large prospective institutional data provide the opportunity to conduct level II and III studies using robust methodologies and adequately powered sample-sizes, while circumventing limitations of retrospective databases. We aimed to validate a prospective data collection tool, the Orthopaedic Minimal Data Set Episode of Care (OME), implemented at a tertiary North American health care system for distal radial fracture (DRF) open reduction and internal fixation (ORIF). Methods: The first 100 DRF ORIFs performed after OME inception (February 2015) were selected for this validation study. A blinded review of the operative notes and charts was performed, and extracted data of 75 perioperative DRF ORIF procedure variables were compared with OME collected data for agreement. Outcomes included completion rates and agreement measures in OME versus electronic medical record (EMR)-based control datasets. Data counts were evaluated using raw percentages and McNemar tests. Cohen (κ) and concordance correlation coefficient analyzed categorical and numerical variable agreement, respectively. Results: Overall, OME demonstrated superior completion and agreement parameters versus EMR-based retrospective review. Nine data points (12.0%) demonstrated significantly higher completion rates within the OME dataset ( P < .05, each), and 88% (66/75) of captured variables demonstrated similar completion rates. Up to 80.0% (60/75) of variables either demonstrated an agreement proportion of ≥0.90 or were solely reported in the OME. Of 33 variables eligible for agreement analyses, 36.4% (12/33) demonstrated almost perfect agreement (κ > 0.80), and 63.6% (21/33) exhibited almost perfect or substantial agreement (κ > 0.60). Conclusions: The OME is a valid and accurate prospective data collection tool for DRF ORIF that is reliably able to match or supersede traditional retrospective chart review. Future investigations could use this tool for large-scale analyses investigating peri/intraoperative DRF ORIF variables.

The feasibility of Web-based surveys as a data collection tool: a process evaluation

2011 ◽  
Vol 24 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Lesa L.K. Chizawsky ◽  
Carole A. Estabrooks ◽  
Anne E. Sales
Keyword(s):  
Data Collection ◽  
Process Evaluation ◽  
Data Collection Tool ◽  
Web Based

scholarly journals A Web-based Blended Learning Environment for Programming Languages: Students’ Opinions

2017 ◽  
Vol 5 (3) ◽  
pp. 211 ◽  
Author(s):  
Mustafa Yağci
Keyword(s):  
Data Collection ◽  
Learning Environment ◽  
Blended Learning ◽  
Programming Languages ◽  
Learning Goals ◽  
Data Collection Tool ◽  
Web Based ◽  
Course Content ◽  
Face To Face ◽  
E Learning

A learning environment which increases the desire and efforts of students to attain learning goals leads to greater motivation and success. This study examines the negative and positive opinions of students regarding the effectiveness of the learning process and students’ success in a computer programming course in which face-to-face and web-based e-learning methods were blended. The study, for which the case study method is used, was carried out over a 12 week period with the participation of 44 students. A data collection tool consisting of open-ended questions was applied to the participants at the end of the process. The replies given by the participants to the data collection tool were analyzed using qualitative analysis techniques. At the end of the research, the evaluation and satisfaction scores of the students regarding the web-based blended learning environment were found to be positive to a high degree. The positive opinions of the students were focused particularly around four themes, namely "facilitating learning through the learning environment"; "providing interaction opportunities"; "encouraging research", "video support for the course". Negative opinions were gathered around the themes of "lack of sufficient teaching time", "experiencing technical failures", "course badly scheduled" and "comprehensiveness of the course content".

Using Webinar Polls to Collect Online Survey Data

2012 ◽  
Vol 8 (1) ◽  
pp. 53-62 ◽  
Author(s):  
Chinmoy Sahu
Keyword(s):  
Data Collection ◽  
Survey Data ◽  
Behavioral Finance ◽  
Online Survey ◽  
Research Topic ◽  
Data Collection Tool ◽  
Web Conferencing ◽  
Web Based ◽  
E Mail ◽  
The Web

Data collection using respondent surveys is a common methodology used in many research projects. Increasing popularity of e-mail and internet has resulted in most of the modern surveys being carried out using these mediums. Declining response rates call for fresh methods of data collection. As a possible alternative to already popular methods like web-based and email surveys, this paper illustrates the use of webinar sessions to collect relevant data from the participants. The popularity of webinars in recent times throws up a tremendous potential in utilizing it as a data collection tool. The paper illustrates how the polling tool available within the web-conferencing systems can be used in a webinar session to survey respondents’ behavioral patterns. Using a behavioral finance problem, the paper examines an alternative to traditional methods of collecting online survey data. Although the paper uses a behavioral finance context, the findings should equally apply to any other research topic.

scholarly journals Radiographers' assessment of referrals for CT and MR imaging using a web-based data collection tool

Radiography ◽  
2020 ◽  
Vol 26 (4) ◽  
pp. e277-e283
Author(s):  
C.C. Chilanga ◽  
K.B. Lysdahl ◽  
H.M. Olerud ◽  
R.J. Toomey ◽  
A. Cradock ◽  
...  
Keyword(s):  
Data Collection ◽  
Mr Imaging ◽  
Data Collection Tool ◽  
Web Based

Percutaneous Tracheostomy: A Multidisciplinary Approach

2008 ◽  
Vol 18 (2) ◽  
pp. 87-98 ◽  
Author(s):  
Vinciya Pandian ◽  
Thai Tran Nguyen ◽  
Marek Mirski ◽  
Nasir Islam Bhatti
Keyword(s):  
Health Care ◽  
Quality Assurance ◽  
Data Collection ◽  
Health Care Professionals ◽  
Multidisciplinary Approach ◽  
Percutaneous Tracheostomy ◽  
Johns Hopkins Hospital ◽  
Prospective Data ◽  
Comprehensive Service ◽  
Over Time

Abstract The techniques of performing a tracheostomy has transformed over time. Percutaneous tracheostomy is gaining popularity over open tracheostomy given its advantages and as a result the number of bedside tracheostomies has increased necessitating the need for a Percutaneous Tracheostomy Program. The Percutaneous Tracheostomy Program at the Johns Hopkins Hospital is a comprehensive service that provides care to patients before, during, and after a tracheostomy with a multidisciplinary approach aimed at decreasing complications. Education is provided to patients, families, and health-care professionals who are involved in the management of a tracheostomy. Ongoing prospective data collection serves as a tool for Quality Assurance.

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