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.

Exploration of Tourist Activities in Urban Destination Using Venue Check-In Data

2019 ◽  
Vol 44 (3) ◽  
pp. 472-498
Author(s):  
Huy Quan Vu ◽  
Jian Ming Luo ◽  
Gang Li ◽  
Rob Law
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Traditional Approach ◽  
Urban Tourism ◽  
Data Set ◽  
Tourism Marketing ◽  
Large Scale Data ◽  
New Type ◽  
Scale Data

Understanding the differences and similarities in the activities of tourists from various cultures is important for tourism managers to develop appropriate plans and strategies that could support urban tourism marketing and managements. However, tourism managers still face challenges in obtaining such understanding because the traditional approach of data collection, which relies on survey and questionnaires, is incapable of capturing tourist activities at a large scale. In this article, we present a method for the study of tourist activities based on a new type of data, venue check-ins. The effectiveness of the presented approach is demonstrated through a case study of a major tourism country, France. Analysis based on a large-scale data set from 19 tourism cities in France reveals interesting differences and similarities in the activities of tourists from 14 markets (countries). Valuable insights are provided for various urban tourism applications.

Naturalistic Data Collection of Driver Performance in Familiar and Unfamiliar Vehicles

2005 ◽  
Vol 49 (22) ◽  
pp. 1994-1998
Author(s):  
Suzanne E. Lee ◽  
Thomas A. Dingus ◽  
Sheila G. Klauer ◽  
Vicki L. Neale ◽  
Jeremy Sudweeks
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Data Set ◽  
Driver Performance ◽  
Final Data ◽  
Naturalistic Driving Study ◽  
Naturalistic Driving ◽  
Instrumented Vehicles ◽  
Instrumented Vehicle ◽  
Privately Owned

The 100-Car Naturalistic Driving Study was the first large-scale instrumented vehicle study with no special driver instructions, unobtrusive data collection instrumentation, and no in-vehicle experimenter. The final data set includes approximately 2,000,000 vehicle miles, almost 43,000 hours of data, 241 primary and secondary drivers, 12 to 13 months of data collection for each vehicle, and data from a highly capable instrumentation system. In addition, 78 of 102 vehicles were privately owned and 22 were leased. After 12 months, leased vehicles were provided to 22 private vehicle drivers who then drove the leased vehicles for an additional four weeks. Driving performance for the same drivers in familiar and unfamiliar instrumented vehicles was then compared. Results provided evidence of increased relative risk for the same driver for weeks 1 through 4 of driving an unfamiliar leased vehicle as compared to the same period of driving their privately owned vehicle.

scholarly journals EXISTING STRATEGIES FOR ELECTRONIC DATA COLLECTION BY ELDER ABUSE MULTI-DISCIPLINARY TEAMS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S423-S423
Author(s):  
Tony Rosen ◽  
David Burnes ◽  
Darin Kirchin ◽  
Alyssa Elman ◽  
Risa Breckman ◽  
...  
Keyword(s):  
Data Collection ◽  
Social Services ◽  
Large Scale ◽  
Elder Abuse ◽  
The United States ◽  
Third Party ◽  
Snowball Sampling ◽  
Electronic Data ◽  
Data Set ◽  
Electronic Data Collection

Abstract Elder abuse cases often require integrated responses from social services, medicine, civil legal, and criminal justice. Multi-disciplinary teams (MDTs), which meet periodically to discuss and coordinate interventions for complex cases, have developed in many communities. Little is known about how these MDTs collect case-level data. Our objective was to describe existing strategies of case-level electronic data collection conducted by MDTs across the United States as a preliminary step in developing a comprehensive database strategy. To identify MDTs currently collecting data electronically, we used a snowball sampling approach discussing with national leaders. We also sent an e-mail to the National Center for Elder Abuse listserv inviting participation. We identified and reviewed 11 databases from MDTs. Strategies for and comprehensiveness of data collection varied widely. Databases used ranged from a simple spreadsheet to a customized Microsoft Access database to large databases designed and managed by a third-party vendor. Total data fields collected ranged from 12-338. Types of data included intake/baseline case/client information, case tracking/follow-up, and case closure/outcomes. Information tracked by many MDTs, such as type of mistreatment, was not captured in a single standard fashion. Documentation about data entry processes varied from absent to detailed. We concluded that MDTs currently use widely varied strategies to track data electronically and are not capturing data in a standardized fashion. Many MDTs collect only minimal data. Based on this, we have developed recommendations for a minimum data set and optimal data structure. If widely adopted, this would potentially improve ability to conduct large-scale comparative research.

Collecting and evaluating large volumes of bibliographic metadata aggregated in the WorldCat database: a proposed methodology to overcome challenges

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vyacheslav I. Zavalin ◽  
Shawne D. Miksa
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Large Data ◽  
Study Data ◽  
Lessons Learned ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
Large Data Set ◽  
Smart Data

Purpose This paper aims to discuss the challenges encountered in collecting, cleaning and analyzing the large data set of bibliographic metadata records in machine-readable cataloging [MARC 21] format. Possible solutions are presented. Design/methodology/approach This mixed method study relied on content analysis and social network analysis. The study examined subject representation in MARC 21 metadata records created in 2020 in WorldCat – the largest international database of “big smart data.” The methodological challenges that were encountered and solutions are examined. Findings In this general review paper with a focus on methodological issues, the discussion of challenges is followed by a discussion of solutions developed and tested as part of this study. Data collection, processing, analysis and visualization are addressed separately. Lessons learned and conclusions related to challenges and solutions for the design of a large-scale study evaluating MARC 21 bibliographic metadata from WorldCat are given. Overall recommendations for the design and implementation of future research are suggested. Originality/value There are no previous publications that address the challenges and solutions of data collection and analysis of WorldCat’s “big smart data” in the form of MARC 21 data. This is the first study to use a large data set to systematically examine MARC 21 library metadata records created after the most recent addition of new fields and subfields to MARC 21 Bibliographic Format standard in 2019 based on resource description and access rules. It is also the first to focus its analyzes on the networks formed by subject terms shared by MARC 21 bibliographic records in a data set extracted from a heterogeneous centralized database WorldCat.

scholarly journals Diamond's are a Girl's Best Friend ...and a Great Data Collection Tool

2020 ◽  
Vol 27 (3) ◽  
pp. 33-76
Author(s):  
Rachel Dunn
Keyword(s):  
Data Collection ◽  
Quantitative Data ◽  
Legal Education ◽  
Data Collection Tool ◽  
Visual Data ◽  
Youth Justice ◽  
Data Set ◽  
Best Friend ◽  
Practical Guide ◽  
Justice Studies

This article explores an innovative and visual data collection tool: The Diamond. The Diamond allows for participants to rank specified items or statements and place them onto a Diamond shape. It can measure various descriptors, such as importance, with the most important item at the top and the least at the bottom. This allows for the researcher to see the overarching relationships between the different items of statements. Participants are asked to discuss the reasoning behind the placements, which provides a qualitative element to a quantitative data set. This article is intended to be a practical guide as how to use the Diamond and analyse the results, discussing the practicalities of it and other potential uses. The examples used throughout are from researched which used the Diamond, namely in clinical legal education and youth justice studies.

scholarly journals An ethnographic study of improving data collection and completeness in large-scale data exercises

2019 ◽  
Vol 4 ◽  
pp. 203 ◽  
Author(s):  
Mary Dixon-Woods ◽  
Anne Campbell ◽  
Emma-Louise Aveling ◽  
Graham Martin
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Participant Observation ◽  
Healthcare Delivery ◽  
Ethnographic Study ◽  
Quality Data ◽  
Completion Rates ◽  
Large Scale Data ◽  
Professional Leadership ◽  
Scale Data

Background: Large-scale data collection is an increasingly prominent and influential feature of efforts to improve healthcare delivery, yet securing the involvement of clinical centres and ensuring data comprehensiveness often proves problematic. We explore how improvements in both data submission and completion rates were achieved during a crucial period of the evolution of two large-scale data exercises. Methods:  As part of an evaluation of a quality improvement programme, we conducted an ethnographic study involving 90 interviews and 47 days of non-participant observation of two UK national clinical audits in a period before submission of data on adherence to clinical standards became mandatory. Results: Critical to the improvements in submission and completion rates in the two exercises were the efforts of clinical leaders to refigure “data work” as a professionalization strategy. Using a series of strategic manoeuvres, leaders constructed a cultural account that tied the fortunes of the healthcare professions to the submission of high-quality data, proposing that it would demonstrate responsibility, transparency, and alignment with the public interest. In so doing, clinical leadership deployed tactics that might have been seen as unwarranted managerial aggression had they been imposed by parties external to the profession. Many residual challenges were linked not to principled objection by clinicians, but to mundane problems and frustrations in obtaining, recording, and submitting data. The cultural framing of data work as a professional duty was important to resolving its status as an abject form of labour. Conclusions: Improving data quality in large-scale exercises is possible, but requires cooperation with clinical centres. Enabling professional leadership of data work may offer some significant advantages, but attention is also needed to mundane and highly consequential obstacles to participation in data collection.

scholarly journals Medication charts and consent to treatment documentation audit in an acute mixed in-patient psychiatry unit in south Manchester

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S335-S335
Author(s):  
Madhumanti Mitra ◽  
Shahid Hussain ◽  
Emma Raynor ◽  
Joanna Wong ◽  
Jennifer Thom
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Patient Care ◽  
Capacity Assessment ◽  
Completion Rates ◽  
Data Collection Tool ◽  
Consent To Treatment ◽  
Hospital Wards ◽  
Medication Chart ◽  
Treatment Documentation

AimsThe main aim of this audit was to look at documentation in medication charts in an acute mixed inpatient unit in South Manchester. In addition, we also looked at completion of capacity assessment and consent to treatment forms as appropriate.BackgroundSafe prescription, administration and monitoring of medication is key to effective patient care. Due to the busy nature of inpatient hospital wards, errors do unfortunately occur both with the medications, and with the recording of their administration.We will use a data collection tool to collect data as per standards described in our local GMMH policy. The medication chart will be used as the standard, as this is the current chart that is in use in the Trust.MethodData were collected from 31 medication charts for inpatients admitted in the ward between the 5/12/19 to 18/12/19. We captured data from each page of the medication chart that required a record to be made by any staff, including details of prescribing, administration and pharmacist checks. Data were recorded as either Yes/No or NA (Not Applicable). Data were then summarised and analysed using MS excel.ResultOf the 31 patients, 22 (71%) had a capacity assessment form completed and 16 (52%) had a consent to treatment form completed. From the data analysis, it was clear that there are high rates of completion for the ‘essential’ parts of all prescriptions, including medicine name, dose, route and data. ‘Route’ was only recorded for 40% of prescriptions for depot medicines. Details of the administration of a medicine by a nurse was generally well-completed. For as required medications, all information relating to administration (date, time, dose and given by) were fully completed for 100% of prescriptions. For regular prescriptions however, the administration details were not as well-completed, where date of administration was recorded in 84% of prescriptions and signature in 29% of prescriptions. Unique patient identifiers are well-recorded on Page 1 of the prescription chart, though not maintained throughout the prescription chart. Nature of reaction to an allergy or sensitivity was only recorded in 6 of the 21 patients (29%).ConclusionOverall, there were good completion rates for the mandatory parts of the prescriptions. However improvements could be made for prescriptions as well as administration and pharmacy checks. The capacity assessment and consent to treatment forms could be improved upon too. We plan to put the recommendations and re-audit in 3-6 months’ time.

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

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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