scholarly journals Application of tablet for data collection in HIV sentinel surveillance in Vietnam

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Duong C. Thanh ◽  
Ha T. Nguyen ◽  
Giang T. Le ◽  
Duc H. Bui ◽  
Lo T. Dang ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Global Fund ◽  
Technical Assistance ◽  
Data Entry ◽  
Sentinel Surveillance ◽  
National Database ◽  
Local Staff ◽  
Improve Data Quality ◽  
Behavioural Surveillance

ObjectiveTo describe the implementation process, successes, challenges, and lessons learned of the application of tablet for data collection and data system in HIV sentinel surveillance in VietnamIntroductionVietnam has routinely monitored HIV sero-prevalence among key populations through its HIV sentinel surveillance system (HSS). In 2010, this system was updated to include a behavioral component (HSS+) among people who inject drugs, female sex workers, and men who have sex with men. HSS+ has historically used a paper-based questionnaire for data collection(1). At the end of the survey, provincial data were manually entered into computers using EpiData Entry forms (http://www.epidata.dk/) and submitted to the Vietnam Authority of HIV/AIDS Control (VAAC). As a result, feedback to provinces on data issues was not provided until after fieldwork completion. One recent survey used tablets for data collection and found that it saved time, required fewer staff, and reduced costs compared to paper-based data collection(2). In 2017, Vietnam introduced tablet for behavioral data collection in HSS+ to improve data quality, resource saving, and to provide more timely access to data.MethodsDevelopment of data entry forms and data systemSurvey data entry forms were designed using free Epi Info™ software for mobile devices(3) and installed on tablets. A SQL database was established via SFPT data transfer to the current database in VAAC’s server. Field data were instantly synced to the national database when the internet signal was available (Picture 1). Real-time data analysis was granted to surveillance staff at all levels using authorized access to the database via Epi Info™ Cloud Data Analytics (ECDA), dashboards were used to track progress and data quality (Figure 1). HSS+ data were frequently reviewed by the National Surveillance Technical Working Group (NSTWG) and timely feedback was provided.DeploymentManuals and e-leaning materials were developed. The NSTWG conducted a pilot to test the forms and data flow from field to the national database before installed into all tablets. Four to seven tablets were distributed to each province depending on number of HSS+ sites and populations. Surveillance staff at Provincial AIDS Centers (PACs) were trained by the NSTWG on how to use the tablet to interview, check, update, save data, and sync data to cloud and to the national database, and to backup the provincial dataset. They then provided trainings to their local field staff.The NSTWG provided technical assistance and troubleshooting through field visits and online support to help local staff address issues regarding tablet use in addition to other HSS/HSS+ issues.ResultsCurrently, 18 HSS+ provinces have implemented the 2017 HSS+. Of these, nine provinces applied tablets exclusively. Two provinces used tablets, but also used paper-based questionnaires when not enough tablets were available. Seven Global Fund supported provinces used the paper-based questionnaires and entered data into tablets after interview completion due to copies of completed paper-based questionnaires are required by these provincial project management units (PMU) for fund re-imbursement.Additional updates were required after the first few days, which created issues around updating forms once revised forms were sent out by NSTWG. Another challenge was that local staff were not familiar with using tablets at the beginning. Also frequent complaints were mainly on data entry and synchronization regarding participant identity code or a record could not be synced.The NSTWG and PAC staff were able to monitor the HSS+ progress and provided feedback daily. Most commonly, feedbacks were provided on participant codings and site names. Using the tablet did not require staff, time or money for data entry and eliminated data entry errors. In general, staff prefered to use this data collection mode.ConclusionsThis mobile device application for data collection in routine HSS+ in Vietnam is feasible and accepted. However, harmonization and coordination from the central Global Fund PMU and provincial PMU will be required to successfully roll-out this system in all HSS+ provinces. This application in addition to ECDA help to improve data quality, due to timeliness of the data, is cost saving and reduces workload. Most importantly, better quality and timely data will facilitate preparation for timely local planning and response.References1. Thanh DC et al. Brief behavioural surveys in routine HIV sentinel surveillance: a new tool for monitoring the HIV epidemic in Vietnam. Western Pacific Surveillance and Response Journal. Vol 6, No. 1/20152. National Institute of Hygiene and Epidemiology. HIV/STI Integrated Biological and Behavioural Surveillance in Vietnam. Hanoi, 2014.3. https://www.cdc.gov/epiinfo/mobile.html

Mobile Data Collection

2015 ◽  
Author(s):  
David Lugo ◽  
Juan Ortega
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Computer Software ◽  
Oil Industry ◽  
Mobile Data Collection ◽  
Improve Data Quality ◽  
Data Registration ◽  
Whole Process ◽  
Collection Data ◽  
Well Data

A key process in the oil industry to make decisions is data collection. To improve productivity it is important data and information analysis. For many organizations is not profitable data automation, which has an impact in the way organizations, collect data. Data collection is taken by manual processes that create uncertainty for analysis because it is not reliable. As consequence, making a decision has not the planned results. After working for many years in the oil industry was identified: 1. People collecting data in a manual process normally by using a piece of paper which could be lost or damage. 2. After taking data at the well, data are brought to the office. Then, data are downloaded by another worker in computer software. It can be modified intentionally or not. 3. Accuracy of data collection activity is carried out. How do we know if the staff really went to work area? 4. Training to new staff, lack of experience? 5. There are “risks zones” due vandalism, facilities are damaged by people who stole devices which causes great money losses to companies. All these mentioned factors affect decision making which has a big impact in the production process. This application helps the whole process from collection data until data are registered in databases. This application considered several observations, suggestions and comments from people involve in the oil industry, especially at the production area. As a result, it is a tool that support data collection, standardize information in databases, improve data quality (it doesn’t matter localization), shows time and photographic position in a mobile device. Information is generated digitally taking advantage of easy handling. To summarize advantages of the whole system: • Reduce time of the data re-collection process • Improve data quality • Reduce amount of people working on data registration • Data reliability • Support decisions making • Minimize the use of paper in order to help ambient environment • Improve vehicle logistics • Minimize use of gasoline which helps to reduce costs • Help to optimize routes for vehicles on the field • Productivity, Maintenance, etc., reports can be generated • Vandalism is not a problem

scholarly journals Factors Affecting the Adoption of Electronic Data Reporting and Outcomes Among Selected Central Cancer Registries of the National Program of Cancer Registries

2021 ◽  
pp. 921-932
Author(s):  
Florence K. L. Tangka ◽  
Patrick Edwards ◽  
Paran Pordell ◽  
Reda Wilson ◽  
Wendy Blumenthal ◽  
...  
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Data Quality ◽  
Technical Assistance ◽  
Cancer Registries ◽  
Economic Evaluations ◽  
National Program ◽  
Self Perception ◽  
Factors Affecting ◽  
Electronic Reporting

PURPOSE The CDC's National Program of Cancer Registries has expanded the use of electronic reporting to collect more timely information on newly diagnosed cancers. The adoption, implementation, and use of electronic reporting vary significantly among central cancer registries. We identify factors affecting the adoption of electronic reporting among these registries. METHODS Directors and data managers of nine National Program of Cancer Registries took part in separate 1-hour telephone interviews in early 2019. Directors were asked about their registry's key data quality goals; staffing, resources, and tools used to aid processes; their definition and self-perception of electronic reporting adoption; key helpers and challenges; and cost and sustainability implications for adoption of electronic reporting. Data managers were asked about specific data collection processes, software applications, electronic reporting adoption and self-perception, information technology infrastructure, and helpers and challenges to data collection and processing, data quality, and sustainability of approach. RESULTS Larger registries identified organizational capacity and technical expertise as key aides. Other help for implementing electronic reporting processes came from partnerships, funding availability, management support, legislation, and access to an interstate data exchange. Common challenges among lower adopters included lack of capacity at both registry and data source levels, insufficient staffing, and a lack of information technology or technical support. Other challenges consisted of automation and interoperability of software, volume of cases received, state political environment, and quality of data received. CONCLUSION Feedback from the formative evaluation yielded several useful solutions that can guide implementation of electronic reporting and help refine the technical assistance provided to registries. Our findings may help guide future process and economic evaluations of electronic reporting and identify best practices to strengthen registry operations.

scholarly journals Designing a Mobile Application for Structured and Flexible Interview Data Collection in the Health Domain

2018 ◽  
Vol 12 (3) ◽  
pp. 201
Author(s):  
Tanja Svarre ◽  
Tine Bieber Kirkegaard Lunn
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Mobile Application ◽  
Occupational Therapists ◽  
Interview Data ◽  
Android Application ◽  
Daily Lives ◽  
Improve Data Quality ◽  
Health Domain ◽  
Data Collection Process

The purpose of this paper is to report on the design of an Android tablet application for data collection by occupational therapists. The design emerged from two design workshops held with users experienced in collecting data on the challenges clients face in using technologies in their daily lives. On the basis of information gathered in the workshops, an Android application was developed for use in clinical and research settings. The aim was to ease the data-collection process and improve data quality by digitizing an existing analogue tool.

scholarly journals Using a data entry clerk to improve data quality in primary care electronic medical records: a pilot study

2011 ◽  
Vol 19 (4) ◽  
pp. 241-250 ◽  
Author(s):  
Michelle Greiver ◽  
Jan Barnsley ◽  
Babak Aliarzadeh ◽  
Paul Krueger ◽  
Rahim Moineddin ◽  
...  
Keyword(s):  
Primary Care ◽  
Pilot Study ◽  
Data Quality ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Data Entry ◽  
Improve Data Quality

scholarly journals Lessons learned from hemolytic uremic syndrome registries: recommendations for implementation

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Mina Lazem ◽  
Abbas Sheikhtaheri ◽  
Nakysa Hooman
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Hemolytic Uremic Syndrome ◽  
Demographic Data ◽  
Data Entry ◽  
Rare Condition ◽  
Lessons Learned ◽  
Data Set ◽  
Diagnostic Measures ◽  
Uremic Syndrome

Abstract Background Hemolytic uremic syndrome (HUS) is a rare condition which diagnosed with the triad of thrombocytopenia, microangiopathic hemolytic anemia, and acute renal injury. There is a high requirement for research to discover treatments. HUS registries can be used as an important information infrastructure. In this study, we identified and compared the different features of HUS registries to present a guide for the development and implementation of HUS registries. Results The purposes of registries were classified as clinical (9 registries), research (7 registries), and epidemiological (5 registries), and only 3 registries pursued all three types of purposes. The data set included demographic data, medical and family history, para-clinical and diagnostic measures, treatment and pharmacological data, complications, and outcomes. The assessment strategies of data quality included monthly evaluation and data audit, the participation of physicians to collect data, editing and correcting data errors, increasing the rate of data completion, following guidelines and data quality training, using specific data quality indicators, and real-time evaluation of data at the time of data entry. 8 registries include atypical HUS patients, and 7 registries include all patients regardless of age. Only two registries focused on children. 4 registries apply prospective and 4 applied both prospective, and retrospective data collection. Finally, specialized hospitals were the main data source for these registries. Conclusion Based on the findings, we suggested a learning framework for developing and implementing an HUS registry. This framework includes lessons learned and suggestions for HUS registry purposes, minimum data set, data quality assurance, data collection methods, inclusion and exclusion criteria as well as data sources. This framework can help researchers develop HUS registries.

scholarly journals Comparison of Data Quality between PAPI and CAPI Modes of Data Collection in Longitudinal Household Surveys: RLMS–HSE Experiment Results

2020 ◽  
Vol 26 (4) ◽  
pp. 8-30
Author(s):  
Aigul Klimova ◽  
Evgeniy Terentev
Keyword(s):  
Experimental Study ◽  
Data Collection ◽  
Data Quality ◽  
Social Desirability ◽  
Social Desirability Bias ◽  
Household Surveys ◽  
Sensitive Questions ◽  
Improve Data Quality ◽  
Monitoring Survey

This article presents the results of an experimental study on how the transition from PAPI to CAPI modes affected data quality in longitudinal household surveys. The study was conducted in 2018–2019 within the Russian Longitudinal Monitoring Survey (RLMS–HSE). In the previous paper, which was based on data from the 26th wave of the RLMS HSE, it was shown that the use of CAPI leads to a significant decrease in the rate of non-substantive responses (“Don’t know”), as well as significant differences in sensitive questions. This paper was aimed at verifying these findings using new data collected during the 27th wave of the RLMS–HSE. The results show that the use of CAPI leads to a decrease in the rate of non-substantive responses, which helps to improve data quality. However, it was shown that the use of CAPI could lead to an increase in social desirability bias.

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

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.

scholarly journals Utilizing asynchronous email interviews for health research: overview of benefits and drawbacks

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Michelle Amri ◽  
Christina Angelakis ◽  
Dilani Logan
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Data Quality ◽  
Health Research ◽  
Geographic Location ◽  
Public Health Research ◽  
Data Accuracy ◽  
Global Public Health ◽  
Snowball Sampling ◽  
Face To Face

Abstract Objective Through collating observations from various studies and complementing these findings with one author’s study, a detailed overview of the benefits and drawbacks of asynchronous email interviewing is provided. Through this overview, it is evident there is great potential for asynchronous email interviews in the broad field of health, particularly for studies drawing on expertise from participants in academia or professional settings, those across varied geographical settings (i.e. potential for global public health research), and/or in circumstances when face-to-face interactions are not possible (e.g. COVID-19). Results Benefits of asynchronous email interviewing and additional considerations for researchers are discussed around: (i) access transcending geographic location and during restricted face-to-face communications; (ii) feasibility and cost; (iii) sampling and inclusion of diverse participants; (iv) facilitating snowball sampling and increased transparency; (v) data collection with working professionals; (vi) anonymity; (vii) verification of participants; (viii) data quality and enhanced data accuracy; and (ix) overcoming language barriers. Similarly, potential drawbacks of asynchronous email interviews are also discussed with suggested remedies, which centre around: (i) time; (ii) participant verification and confidentiality; (iii) technology and sampling concerns; (iv) data quality and availability; and (v) need for enhanced clarity and precision.

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