Abstract WP389: Understanding the Clinicians’ Experiences in Collecting Stroke Rehabilitation Intensity Data Within Ontario

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Elizabeth Linkewich ◽  
Janine Theben ◽  
Amy Maebrae-Waller ◽  
Shelley Huffman ◽  
Jenn Fearn ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Thematic Analysis ◽  
Best Practice ◽  
Practice Change ◽  
Quality Data ◽  
Electronic Survey ◽  
Workload Measurement ◽  
Survey Results ◽  
Patients Experience

Background and Issues: The collection and reporting of Rehabilitation Intensity (RI) in a national rehabilitation database was mandated on April 1, 2015 for all stroke patients within Ontario, to support evaluation of stroke best practice implementation. RI includes minutes of direct task-specific therapy patients experience per day. This requires a shift in thinking from capturing the clinician’s time spent in therapy to the patient perspective. To ensure that high quality data is collected, it was important to understand clinicians’ experiences in collecting RI data. Purpose: To identify enablers and barriers to RI data collection in order to inform the development of resources to support clinicians. Methods: A 12-item electronic survey was developed by an Ontario Stroke Network (OSN) task group to evaluate the clinician experience of RI data collection (including: demographics, barriers, enablers, education, resources, and practice change). The survey was distributed via SurveyMonkey® and sent to clinicians from 48 hospitals, 3 weeks post implementation of RI data collection. Analyses involved descriptive statistics and thematic analysis. Results: Three hundred and twenty-one clinicians from 47 hospitals responded to the survey. Survey results suggest RI data collection is feasible; seventy-one percent of clinicians report it takes 10 minutes or less to enter RI data. Thematic analysis identified: 5 common challenges with most frequently reported relating to data quality, 30% (N=358) and 6 common enablers with most frequently reported relating to ease of collecting RI data through workload measurement systems, 50% (N=46). Suggestions for educational resources included tools for identifying what is included in RI and the provision of education (e.g. webinars). Conclusions: RI data collection is feasible for clinicians. Education and resources developed should support key challenges and enablers identified by clinicians - to enhance data quality and the consistency of RI collection. As RI data fields are available through a national rehabilitation database, this work sets the foundation for other provinces interested in the systematic collection and reporting of RI data.

Are Interviews Costing £0.08 a Waste of Money? Reviewing Google Surveys for ‘Wisdom of the Crowd’ Projects

2017 ◽  
Vol 59 (2) ◽  
pp. 199-220
Author(s):  
G.W. Roughton ◽  
Iain Mackay
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Survey Data ◽  
Response Rates ◽  
Quality Data ◽  
Collection Costs

This paper investigates whether a ‘wisdom of the crowd’ approach might offer an alternative to recent political polls that have raised questions about survey data quality. Data collection costs have become so low that, as well as the question of data quality, concerns have also been raised about low response rates, professional respondents and respondent interaction. There are also uncertainties about self-selecting ‘samples’. This paper looks at more than 100 such surveys and reports that, in five out of the six cases discussed, £0.08p interviews delivered results in line with known outcomes. The results discussed in the paper show that such interviews are not a waste of money.

scholarly journals EIGER detector: application in macromolecular crystallography

2016 ◽  
Vol 72 (9) ◽  
pp. 1036-1048 ◽  
Author(s):  
Arnau Casanas ◽  
Rangana Warshamanage ◽  
Aaron D. Finke ◽  
Ezequiel Panepucci ◽  
Vincent Olieric ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Data Acquisition ◽  
Dead Time ◽  
Single Photon ◽  
Photon Counting ◽  
Quality Data ◽  
Macromolecular Crystallography ◽  
Single Photon Counting ◽  
Optimal Rotation

The development of single-photon-counting detectors, such as the PILATUS, has been a major recent breakthrough in macromolecular crystallography, enabling noise-free detection and novel data-acquisition modes. The new EIGER detector features a pixel size of 75 × 75 µm, frame rates of up to 3000 Hz and a dead time as low as 3.8 µs. An EIGER 1M and EIGER 16M were tested on Swiss Light Source beamlines X10SA and X06SA for their application in macromolecular crystallography. The combination of fast frame rates and a very short dead time allows high-quality data acquisition in a shorter time. The ultrafine φ-slicing data-collection method is introduced and validated and its application in finding the optimal rotation angle, a suitable rotation speed and a sufficient X-ray dose are presented. An improvement of the data quality up to slicing at one tenth of the mosaicity has been observed, which is much finer than expected based on previous findings. The influence of key data-collection parameters on data quality is discussed.

scholarly journals Mode Effects on Data Quality and Measurement in a Mixed-Mode Time-Use Survey

2021 ◽  
Author(s):  
Stella Chatzitheochari ◽  
Elena Mylona
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Time Use ◽  
Mixed Mode ◽  
Large Scale ◽  
New Technologies ◽  
Quality Data ◽  
Mode Effects ◽  
Time Use Survey ◽  
Time Diaries

Recent years have witnessed an increasing interest in the use of new technologies for time-use data collection, driven by their potential to reduce survey administration costs and improve data quality. However, despite the steady growth of studies that employ web and app time diaries, there is little research on their comparability with traditional paper-administered diaries that have long been regarded as the “gold standard” for measurement in time-use research. This paper rectifies this omission by investigating diary mode effects on data quality and measurement, drawing on data from a mixed-mode large-scale time diary study of adolescents in the United Kingdom. After controlling for selection effects, we find that web and app diaries yield higher quality data than paper diaries, which attests to the potential of new technologies in facilitating diary completion. At the same time, our analysis of broad time-use domains does not find substantial mode effects on measurement for the majority of daily activity categories. We conclude by discussing avenues for future methodological research and implications for time-use data collection.

scholarly journals An Overview of ARM Program Climate Research Facility Data Quality Assurance

2008 ◽  
Vol 2 (1) ◽  
pp. 192-216 ◽  
Author(s):  
R.A. Peppler ◽  
C.N. Long ◽  
D.L. Sisterson ◽  
D.D. Turner ◽  
C.P. Bahrmann ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Data Collection ◽  
Data Quality ◽  
Data Stream ◽  
Value Added ◽  
Quality Data ◽  
Quality Assurance Program ◽  
Research Facility ◽  
Data Set ◽  
Climate Research

We present an overview of key aspects of the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) data quality assurance program. Processes described include instrument deployment and calibration; instrument and facility maintenance; data collection and processing infrastructure; data stream inspection and assessment; problem reporting, review and resolution; data archival, display and distribution; data stream reprocessing; engineering and operations management; and the roles of value-added data processing and targeted field campaigns in specifying data quality and characterizing field measurements. The paper also includes a discussion of recent directions in ACRF data quality assurance. A comprehensive, end-to-end data quality assurance program is essential for producing a high-quality data set from measurements made by automated weather and climate networks. The processes developed during the ARM Program offer a possible framework for use by other instrumentation- and geographically-diverse data collection networks and highlight the myriad aspects that go into producing research-quality data.

scholarly journals The shape of and solutions to the MTurk quality crisis

2020 ◽  
Vol 8 (4) ◽  
pp. 614-629 ◽  
Author(s):  
Ryan Kennedy ◽  
Scott Clifford ◽  
Tyler Burleigh ◽  
Philip D. Waggoner ◽  
Ryan Jewell ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Treatment Effects ◽  
Mechanical Turk ◽  
Quality Data ◽  
Social Scientists ◽  
Amazon's Mechanical Turk ◽  
Gain Access

AbstractAmazon's Mechanical Turk is widely used for data collection; however, data quality may be declining due to the use of virtual private servers to fraudulently gain access to studies. Unfortunately, we know little about the scale and consequence of this fraud, and tools for social scientists to detect and prevent this fraud are underdeveloped. We first analyze 38 studies and show that this fraud is not new, but has increased recently. We then show that these fraudulent respondents provide particularly low-quality data and can weaken treatment effects. Finally, we provide two solutions: an easy-to-use application for identifying fraud in the existing datasets and a method for blocking fraudulent respondents in Qualtrics surveys.

scholarly journals Autoimmune encephalitis: proposed best practice recommendations for diagnosis and acute management

2021 ◽  
pp. jnnp-2020-325300
Author(s):  
Hesham Abboud ◽  
John C Probasco ◽  
Sarosh Irani ◽  
Beau Ances ◽  
David R Benavides ◽  
...  
Keyword(s):  
Best Practice ◽  
Autoimmune Encephalitis ◽  
Second Line ◽  
First Line ◽  
Paraneoplastic Encephalitis ◽  
Electronic Survey ◽  
Practice Recommendations ◽  
First Line Therapy ◽  
Survey Results ◽  
Therapeutic Recommendations

The objective of this paper is to evaluate available evidence for each step in autoimmune encephalitis management and provide expert opinion when evidence is lacking. The paper approaches autoimmune encephalitis as a broad category rather than focusing on individual antibody syndromes. Core authors from the Autoimmune Encephalitis Alliance Clinicians Network reviewed literature and developed the first draft. Where evidence was lacking or controversial, an electronic survey was distributed to all members to solicit individual responses. Sixty-eight members from 17 countries answered the survey. Corticosteroids alone or combined with other agents (intravenous IG or plasmapheresis) were selected as a first-line therapy by 84% of responders for patients with a general presentation, 74% for patients presenting with faciobrachial dystonic seizures, 63% for NMDAR-IgG encephalitis and 48.5% for classical paraneoplastic encephalitis. Half the responders indicated they would add a second-line agent only if there was no response to more than one first-line agent, 32% indicated adding a second-line agent if there was no response to one first-line agent, while only 15% indicated using a second-line agent in all patients. As for the preferred second-line agent, 80% of responders chose rituximab while only 10% chose cyclophosphamide in a clinical scenario with unknown antibodies. Detailed survey results are presented in the manuscript and a summary of the diagnostic and therapeutic recommendations is presented at the conclusion.

QUALITY ASSURANCE FOR SCREENING MAMMOGRAPHY DATA COLLECTION SYSTEMS IN 22 COUNTRIES

2001 ◽  
Vol 17 (4) ◽  
pp. 528-541 ◽  
Author(s):  
Carrie N. Klabunde ◽  
Hélène Sancho-Garnier ◽  
Mireille Broeders ◽  
Steinar Thoresen ◽  
Vitor J. L. Rodrigues ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Assurance ◽  
Data Collection ◽  
Data Quality ◽  
Screening Program ◽  
Breast Cancer Mortality ◽  
Screening Mammography ◽  
Quality Data ◽  
Program Performance ◽  
Screening Programs

Objectives: To document the mammography data that are gathered by the organized screening programs participating in the International Breast Cancer Screening Network (IBSN), the nature of their procedures for data quality assurance, and the measures used to assess program performance and impact.Methods: A detailed questionnaire covering multiple aspects of quality assurance in screening mammography was mailed to IBSN representatives in 23 countries.Results: Countries collect a wealth of screening mammography data, much of it computerized. Most countries have designated staff for data quality assurance. All provide staff training, and most have documentation requirements for data collection. Nearly all have one or more procedures to maintain data confidentiality. Countries are heterogeneous in collecting and assessing data to monitor screening program performance and impact.Conclusions: Demonstrating that population-based screening mammography reduces breast cancer mortality requires collection of high-quality data on key aspects of the multi-step screening process. Assuring the quality of data collection systems for screening mammography programs is an important and evolving area for IBSN countries.

Bots or inattentive humans? Identifying sources of low-quality data in online platforms

2021 ◽  
Author(s):  
Aaron J Moss ◽  
Cheskie Rosenzweig ◽  
Shalom Noach Jaffe ◽  
Richa Gautam ◽  
Jonathan Robinson ◽  
...  
Keyword(s):  
Social Sciences ◽  
Data Collection ◽  
Data Quality ◽  
Quality Data ◽  
Online Data ◽  
The Social ◽  
Online Data Collection ◽  
The Right ◽  
Quality Tools ◽  
Bad Data

Online data collection has become indispensable to the social sciences, polling, marketing, and corporate research. However, in recent years, online data collection has been inundated with low quality data. Low quality data threatens the validity of online research and, at times, invalidates entire studies. It is often assumed that random, inconsistent, and fraudulent data in online surveys comes from ‘bots.’ But little is known about whether bad data is caused by bots or ill-intentioned or inattentive humans. We examined this issue on Mechanical Turk (MTurk), a popular online data collection platform. In the summer of 2018, researchers noticed a sharp increase in the number of data quality problems on MTurk, problems that were commonly attributed to bots. Despite this assumption, few studies have directly examined whether problematic data on MTurk are from bots or inattentive humans, even though identifying the source of bad data has important implications for creating the right solutions. Using CloudResearch’s data quality tools to identify problematic participants in 2018 and 2020, we provide evidence that much of the data quality problems on MTurk can be tied to fraudulent users from outside of the U.S. who pose as American workers. Hence, our evidence strongly suggests that the source of low quality data is real humans, not bots. We additionally present evidence that these fraudulent users are behind data quality problems on other platforms.

scholarly journals Collecting better data on sexuality, relationships and violence: empirical evidence from a school-based evaluation

2021 ◽  
Author(s):  
Shelly Makleff ◽  
Jovita Garduño ◽  
Vanessa Ivon Silva Márquez ◽  
Susana Medina ◽  
Florencia Barindelli ◽  
...  
Keyword(s):  
Data Collection ◽  
Sexual Health ◽  
Data Quality ◽  
Personal Information ◽  
Intervention Group ◽  
Quality Data ◽  
Advantages And Disadvantages ◽  
School Based ◽  
Field Notes ◽  
The Many

Background: Missing and inconsistent data are common problems when researching young people’s sexual health. Complete and high-quality data are needed to inform effective programming. To inform improvements, we examine different techniques for collecting school-based data about young people’s sexuality, relationships and partner violence.Methods: We use empirical data from a school-based programme evaluation in Mexico City as a case study. The evaluation sought data on sexuality and relationships using self-administered questionnaires, observation, focus groups, and in-depth interviews. We explore the advantages and disadvantages of different data collection methods in practice, comparing data from questionnaires and interviews to examine data quality and identifying challenges to collecting and interpreting data from different methods and sources. We used descriptive statistics, reviewed field notes, and conducted thematic analysis, drawing on research team and participant perspectives. Results: Data collection was influenced by earthquakes and extreme weather, social aspects of the data collection setting, and the sensitive nature of the data. There was variation in data quality by group, timepoint, gender, and topic. Women had a higher proportion of complete responses than men at most timepoints. Intervention group men were the only group to increase their proportion of complete responses from baseline to endline. Items about sexual activity had the lowest proportions of complete responses. Participants varied in their willingness to share personal information. Data from different sources and timepoints sometimes appeared contradictory, creating challenges with interpretation. Conclusions: This analysis can inform methodological choice for school-based sexual health research. Our experience highlights the difficulties of anticipating – and correcting for – the many interacting real-world challenges threats to data quality and interpretation challenges that can arise. It is vital that results for all types of analysis are accompanied by a reflexive discussion of data collection conditions and challenges that might impact on data quality.

PENINGKATAN HASIL BELAJAR IPA DENGAN MENGGUNAKAN METODE PEMBERIAN LEMBAR TUGAS SISWA PADA MATERI EKOSISTIM SISWA KELAS VII 2 SMP NEGERI 2 DUMAI

2017 ◽  
Vol 5 (3) ◽  
pp. 301
Author(s):  
Sajarotunnur '
Keyword(s):  
Data Collection ◽  
Student Learning ◽  
Learning Outcomes ◽  
Lesson Plan ◽  
Mastery Learning ◽  
Student Learning Outcomes ◽  
Student Activities ◽  
Research Instrument ◽  
Survey Results ◽  
Improve Student Learning

This study aims to improve student learning outcomes by applying the method VII.2 classassignment sheet giving students conducted in March and April 2016. Subjects were seventhgrade students of SMP Negeri 2 Dumai totaling 26 students. The parameters in this study isthe absorption and mastery learning as well as student activities and teacher activities assupporting data. The research instrument used is the study and data collection instruments.The device consists of a learning syllabus, lesson plan, test, observation of student activitysheets, activity sheets teacher observation. The survey results revealed absorption of studentsin the first cycle is 70% with moderate category and second cycle increased to 78% in thehigh category. Mastery learning of students in the first cycle is 88.46% and 88.50% in thesecond cycle students completed. Activities of students in the first cycle an average of80.76%% (very good) and the second cycle is an increase of 97.5% (excellent). It can beconcluded that the method of administration of the student assignment sheet can improvestudent learning outcomes in the classroom ecosystem VII 2 material SMP Negeri 2 Dumai.

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