O20 ASSESSING THE VALIDITY AND COVER RATE OF NATIONAL HERNIA REGISTERS

Abstract Aim To assess the validity and cover rate of the Swedish hernia register. Material and Methods Annual validation of the Swedish Hernia Register has been carried out since the start in 1992 and since 2013 in a more standardized way to allow a systematic data collection and evaluation. 10% of all participating units are randomly selected each year in a specific region of Sweden, ensuring a systematic validation of all regions from North to South. Data from 2013 to 2018 was analyzed regarding data quality and from 2014 to 2018 regarding cover rate. All operations registered at the validated clinics was checked against the Swedish Hernia Register to assess cover rate. 50 operations were randomly selected at each clinic and data in the Swedish Hernia register was compared to the medical records to evaluate data quality. Results In total 55 participating units were evaluated and 73764 variables compared to medical records. Cover rate between 2014 to 2018 was 97% and proportion of correct variables was 98%. Most frequent errors where ASA-grade, date at which the patient was put on the waiting list and postoperative complications. Conclusions This unique validation of a national hernia register show a high cover rate and good quality of data. Efforts to maintain and improve national registers are of great importance. Research with data from the Swedish hernia register should be evaluated on the basis of the results presented in this study.

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Designing Information Product (IP) Maps On the Process of Data Processing and Academic Information

International Journal of New Media Technology ◽

10.31937/ijnmt.v4i1.534 ◽

2017 ◽

Vol 4 (1) ◽

pp. 25-31 ◽

Cited By ~ 1

Author(s):

Diana Effendi

Keyword(s):

Data Quality ◽

Data Management ◽

Information Management ◽

Information Quality ◽

Quality Data ◽

Management Approach ◽

Quality Of Data ◽

Information Product ◽

Academic Activities

Information Product Approach (IP Approach) is an information management approach. It can be used to manage product information and data quality analysis. IP-Map can be used by organizations to facilitate the management of knowledge in collecting, storing, maintaining, and using the data in an organized. The process of data management of academic activities in X University has not yet used the IP approach. X University has not given attention to the management of information quality of its. During this time X University just concern to system applications used to support the automation of data management in the process of academic activities. IP-Map that made in this paper can be used as a basis for analyzing the quality of data and information. By the IP-MAP, X University is expected to know which parts of the process that need improvement in the quality of data and information management. Index term: IP Approach, IP-Map, information quality, data quality. REFERENCES[1] H. Zhu, S. Madnick, Y. Lee, and R. Wang, “Data and Information Quality Research: Its Evolution and Future,” Working Paper, MIT, USA, 2012.[2] Lee, Yang W; at al, Journey To Data Quality, MIT Press: Cambridge, 2006.[3] L. Al-Hakim, Information Quality Management: Theory and Applications. Idea Group Inc (IGI), 2007.[4] “Access : A semiotic information quality framework: development and comparative analysis : Journal ofInformation Technology.” [Online]. Available: http://www.palgravejournals.com/jit/journal/v20/n2/full/2000038a.html. [Accessed: 18-Sep-2015].[5] Effendi, Diana, Pengukuran Dan Perbaikan Kualitas Data Dan Informasi Di Perguruan Tinggi MenggunakanCALDEA Dan EVAMECAL (Studi Kasus X University), Proceeding Seminar Nasional RESASTEK, 2012, pp.TIG.1-TI-G.6.

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Response Behavior and Quality of Survey Data: Comparing Elderly Respondents in Institutions and Private Households

Sociological Methods & Research ◽

10.1177/0049124121995534 ◽

2021 ◽

pp. 004912412199553

Author(s):

Jan-Lucas Schanze

Keyword(s):

Data Quality ◽

The Elderly ◽

Response Behavior ◽

Quality Of Data ◽

Social Surveys ◽

Private Households ◽

Confounding Variables ◽

Health Related ◽

Survey Interviews

An increasing age of respondents and cognitive impairment are usual suspects for increasing difficulties in survey interviews and a decreasing data quality. This is why survey researchers tend to label residents in retirement and nursing homes as hard-to-interview and exclude them from most social surveys. In this article, I examine to what extent this label is justified and whether quality of data collected among residents in institutions for the elderly really differs from data collected within private households. For this purpose, I analyze the response behavior and quality indicators in three waves of Survey of Health, Ageing and Retirement in Europe. To control for confounding variables, I use propensity score matching to identify respondents in private households who share similar characteristics with institutionalized residents. My results confirm that most indicators of response behavior and data quality are worse in institutions compared to private households. However, when controlling for sociodemographic and health-related variables, differences get very small. These results suggest the importance of health for the data quality irrespective of the housing situation.

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Thinking about police data: Analysts’ perceptions of data quality in Canadian policing

The Police Journal Theory Practice and Principles ◽

10.1177/0032258x211021461 ◽

2021 ◽

pp. 0032258X2110214

Author(s):

Christopher D O’Connor ◽

John Ng ◽

Dallas Hill ◽

Tyler Frederick

Keyword(s):

Big Data ◽

Data Collection ◽

Data Quality ◽

Research Culture ◽

Police Services ◽

Police Data ◽

Data Collection And Analysis ◽

Quality Issues

Policing is increasingly being shaped by data collection and analysis. However, we still know little about the quality of the data police services acquire and utilize. Drawing on a survey of analysts from across Canada, this article examines several data collection, analysis, and quality issues. We argue that as we move towards an era of big data policing it is imperative that police services pay more attention to the quality of the data they collect. We conclude by discussing the implications of ignoring data quality issues and the need to develop a more robust research culture in policing.

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Improving Specimen Labelling and Data Collection in Bio-science Research using Mobile and Web Applications

Open Computer Science ◽

10.1515/comp-2020-0002 ◽

2020 ◽

Vol 10 (1) ◽

pp. 1-16

Author(s):

Isaac Nyabisa Oteyo ◽

Mary Esther Muyoka Toili

Keyword(s):

Data Collection ◽

Web Applications ◽

Data Entry ◽

Science Research ◽

Quality Data ◽

Quality Of Data ◽

Data Entry Form ◽

Research Activities ◽

Daunting Task

AbstractResearchers in bio-sciences are increasingly harnessing technology to improve processes that were traditionally pegged on pen-and-paper and highly manual. The pen-and-paper approach is used mainly to record and capture data from experiment sites. This method is typically slow and prone to errors. Also, bio-science research activities are often undertaken in remote and distributed locations. Timeliness and quality of data collected are essential. The manual method is slow to collect quality data and relay it in a timely manner. Capturing data manually and relaying it in real time is a daunting task. The data collected has to be associated to respective specimens (objects or plants). In this paper, we seek to improve specimen labelling and data collection guided by the following questions; (1) How can data collection in bio-science research be improved? (2) How can specimen labelling be improved in bio-science research activities? We present WebLog, an application that we prototyped to aid researchers generate specimen labels and collect data from experiment sites. We use the application to convert the object (specimen) identifiers into quick response (QR) codes and use them to label the specimens. Once a specimen label is successfully scanned, the application automatically invokes the data entry form. The collected data is immediately sent to the server in electronic form for analysis.

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Key Mortality Causes of the Great Bustard (Otis Tarda) in Central Hungary: An Analysis of Known Fatalities

Ornis Hungarica ◽

10.2478/orhu-2014-0016 ◽

2015 ◽

Vol 22 (2) ◽

pp. 32-41 ◽

Cited By ~ 1

Author(s):

Csaba Vadász ◽

Miklós Lóránt

Keyword(s):

Data Collection ◽

Anthropogenic Factors ◽

Relative Importance ◽

Great Bustard ◽

Systematic Data ◽

Otis Tarda ◽

Negative Effect ◽

Breeding Attempt ◽

Mortality Causes ◽

Systematic Data Collection

Abstract In this study, we identified the key mortality causes of eggs, juveniles and adults of the Great Bustard (Otis tarda) and quantified the relative importance of those, based on systematic data collection that have been carried out during the period between 2005 and 2014 at the Upper-Kiskunság region in Central Hungary. Rate of mortality regarding juveniles and adults was 39.71% caused by anthropogenic factors. Within the anthropogenic factors leading to mortality, collision was represented by 81.48% of fatalities, whereas mowing/hay making represented by 18.52%. Hay making/mowing was the factor leading to unsuccessful breeding attempt with the strongest negative effect on the breeding success of the investigated population of the Great Bustard, as it was represented by 50.96% of all known mortality cases. Chemical treatment had the factor with the second strongest effect, as it was represented by 12.33% of all known mortality cases. The rate of unsuccessful breeding (hatching) caused by particular activities (hay making/mowing, tillage, harvesting) varied between 68.42% and 75.00%. It was the disturbance by passers-by which led to the highest portion of unsuccessful breeding with 83.33% unsuccessful nests.

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Higher Education in Western Balkans: Recent Trends and Challenges

International Higher Education ◽

10.6017/ihe.2016.87.9512 ◽

2016 ◽

pp. 27-29 ◽

Cited By ~ 1

Author(s):

Lucia Brajkovic

Keyword(s):

Higher Education ◽

Data Collection ◽

Private Sector ◽

Western Balkans ◽

Education Systems ◽

Systematic Data ◽

Higher Education Systems ◽

Recent Trends ◽

Systematic Data Collection

Due to the lack of systematic data collection on national and institutional levels, the higher education systems in the Western Balkans have remained under-researched. This article aims to describe and analyze some of the most salient challenges facing academic sectors in these countries, such as structural issues, growth of the private sector, and EU funding.

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Impact Of Systematic Data Collection On Training Of The Plant.

Human Reliability Assessment Theory and Practice ◽

10.1201/9781420068528.ch13 ◽

2009 ◽

pp. 239-246

Keyword(s):

Data Collection ◽

Systematic Data ◽

Systematic Data Collection

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1Chapter 3 Impact of Systematic Data Collection on Training

Human Reliability Assessment Theory and Practice ◽

10.1201/9781420068528-18 ◽

2009 ◽

pp. 259-266

Keyword(s):

Data Collection ◽

Systematic Data ◽

Systematic Data Collection

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Developing a Single-Pilot Line Operations Safety Audit

Aviation Psychology and Applied Human Factors ◽

10.1027/2192-0923/a000027 ◽

2012 ◽

Vol 2 (2) ◽

pp. 49-61 ◽

Cited By ~ 3

Author(s):

Laurie Earl ◽

Paul R. Bates ◽

Patrick S. Murray ◽

A. Ian Glendon ◽

Peter A. Creed

Keyword(s):

Data Collection ◽

Emergency Medical Service ◽

Medical Service ◽

Management Model ◽

Error Management ◽

Conceptual Basis ◽

Pilot Performance ◽

Systematic Data ◽

Systematic Data Collection ◽

Line Operations Safety Audit

A single-pilot form of the line operations safety audit was trialed with a mid-sized emergency medical service air operator using two observers with a sample of pilots flying 14 sectors. The conceptual basis for observing pilot performance and analyzing data was the threat and error management model, focusing on threats, errors, undesired aircraft states, and their management. Forty-six threats and 42 crew errors were observed. Pilots generally used sound strategies to prevent errors and to manage successfully those that occurred. Threats resulting from operational pressures were well managed. The study achieved its objective of determining whether a single-pilot line operations safety audit could be successfully developed and used as a basis for systematic data collection.

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