scholarly journals The Acceptability and Efficacy of Electronic Data Collection in a Hospital Neurodevelopmental Clinic: A Pilot Study (Preprint)

10.2196/18214 ◽  
2020 ◽  
Author(s):  
Shrujna Patel ◽  
Kelsie Ann Boulton ◽  
Antoinette Redoblado-Hodge ◽  
Angela Papanicolaou ◽  
Diana Barnett ◽  
...  
Keyword(s):  
Pilot Study ◽  
Data Collection ◽  
Electronic Data ◽  
Electronic Data Collection

scholarly journals The Acceptability and Efficacy of Electronic Data Collection in a Hospital Neurodevelopmental Clinic: A Pilot Study

2020 ◽  
Author(s):  
Shrujna Patel ◽  
Kelsie Boulton ◽  
Antoinette Redoblado-Hodge ◽  
Angela Papanicolaou ◽  
Diana Barnett ◽  
...  
Keyword(s):  
Pilot Study ◽  
Data Collection ◽  
Electronic Mail ◽  
Cost Savings ◽  
Demographic Characteristics ◽  
Clinical Practices ◽  
Electronic Data ◽  
Electronic Data Collection ◽  
Level Of Education ◽  
Paper Version

Background: There is a growing need for cost-efficient and patient-centred approaches to support families in hospital and community-based neurodevelopmental services. For such purposes, electronic data collection (EDC) may hold advantages over paper-based data collection. Such EDC approaches enable automated data collection for scoring and interpretation, saving time for clinicians and services and promoting more efficient service delivery. Objective: The current pilot study evaluated the efficacy of EDC for the Child Development Unit, a hospital-based diagnostic assessment clinic in the Sydney Children’s Hospital Network. Caregiver response rates and preference for EDC or paper-based methods were evaluated as well as the moderating role of demographic characteristics such as age, level of education and ethnic background. Methods: Families were sent either a paper-based questionnaire via post or an electronic mail link for completion before attending their first onsite clinic appointment for assessment. A total of 62 families were provided a paper version of the questionnaire, while 184 families were provided the online version of the same questionnaire. Results: Completion rates of the questionnaire before the first appointment were significantly higher for EDC (89.1%) in comparison to paper-based methods (38.7%; P <.001). Within the EDC group, a vast majority of respondents indicated a preference for completing the questionnaires online (87.3%), compared to paper completion (12.7%; P <.001). Of the caregiver demographic characteristics, only the respondent’s level of education was associated with modality preference, such that those with a higher level of education reported a greater preference for EDC (P = .04).Conclusions: These results show that EDC is feasible in hospital-based clinics and has the potential to offer substantial benefits in terms of centralised data collation, time and cost savings, efficiency of service and resource allocation. The results of this study therefore support the continued use of electronic methods to improve family-centred care in clinical practices.

scholarly journals The Acceptability and Efficacy of Electronic Data Collection in a Hospital Neurodevelopmental Clinic: A Pilot Study (Preprint)

2020 ◽  
Author(s):  
Shrujna Patel ◽  
Kelsie Ann Boulton ◽  
Antoinette Redoblado-Hodge ◽  
Angela Papanicolaou ◽  
Diana Barnett ◽  
...  
Keyword(s):  
Pilot Study ◽  
Data Collection ◽  
Electronic Mail ◽  
Cost Savings ◽  
Demographic Characteristics ◽  
Clinical Practices ◽  
Electronic Data ◽  
Electronic Data Collection ◽  
Level Of Education ◽  
Paper Version

BACKGROUND There is a growing need for cost-efficient and patient-centred approaches to support families in hospital and community-based neurodevelopmental services. For such purposes, electronic data collection (EDC) may hold advantages over paper-based data collection. Such EDC approaches enable automated data collection for scoring and interpretation, saving time for clinicians and services and promoting more efficient service delivery. OBJECTIVE The current pilot study evaluated the efficacy of EDC for the Child Development Unit, a hospital-based diagnostic assessment clinic in the Sydney Children’s Hospital Network. Caregiver response rates and preference for EDC or paper-based methods were evaluated as well as the moderating role of demographic characteristics such as age, level of education and ethnic background. METHODS Families were sent either a paper-based questionnaire via post or an electronic mail link for completion before attending their first onsite clinic appointment for assessment. A total of 62 families were provided a paper version of the questionnaire, while 184 families were provided the online version of the same questionnaire. RESULTS Completion rates of the questionnaire before the first appointment were significantly higher for EDC (164/184, 89.1%) in comparison to paper-based methods (24/62, 39%; P <.001). Within the EDC group, a vast majority of respondents indicated a preference for completing the questionnaires online (151/173, 87.3%), compared to paper completion (22/173, 12.7%; P <.001). Of the caregiver demographic characteristics, only the respondent’s level of education was associated with modality preference, such that those with a higher level of education reported a greater preference for EDC (P = .04). CONCLUSIONS These results show that EDC is feasible in hospital-based clinics and has the potential to offer substantial benefits in terms of centralised data collation, time and cost savings, efficiency of service and resource allocation. The results of this study therefore support the continued use of electronic methods to improve family-centred care in clinical practices. CLINICALTRIAL

scholarly journals Analysis of erroneous data entries in paper based and electronic data collection

2019 ◽  
Author(s):  
Benedikt Ley ◽  
Komal Raj Rijal ◽  
Jutta Marfurt ◽  
Nabaraj Adhikari ◽  
Megha Banjara ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Entry ◽  
Categorical Variables ◽  
Data Sets ◽  
Continuous Variables ◽  
Electronic Data ◽  
Suitable Alternative ◽  
Electronic Data Collection ◽  
Data Points ◽  
Time Variables

Abstract Objective: Electronic data collection (EDC) has become a suitable alternative to paper based data collection (PBDC) in biomedical research even in resource poor settings. During a survey in Nepal, data were collected using both systems and data entry errors compared between both methods. Collected data were checked for completeness, values outside of realistic ranges, internal logic and date variables for reasonable time frames. Variables were grouped into 5 categories and the number of discordant entries were compared between both systems, overall and per variable category. Results: Data from 52 variables collected from 358 participants were available. Discrepancies between both data sets were found in 12.6% of all entries (2352/18,616). Differences between data points were identified in 18.0% (643/3,580) of continuous variables, 15.8% of time variables (113/716), 13.0% of date variables (140/1,074), 12.0% of text variables (86/716), and 10.9% of categorical variables (1,370/12,530). Overall 64% (1,499/2,352) of all discrepancies were due to data omissions, 76.6% (1,148/1,499) of missing entries were among categorical data. Omissions in PBDC (n=1002) were twice as frequent as in EDC (n=497, p<0.001). Data omissions, specifically among categorical variables were identified as the greatest source of error. If designed accordingly, EDC can address this short fall effectively.

Usability Evaluation of an Offline Electronic Data Capture App in a Prospective Multicentre Dementia Registry – digiDEM Bayern: a Mixed Method Study (Preprint)

2021 ◽  
Author(s):  
Michael Reichold ◽  
Miriam Hess ◽  
Peter L. Kolominsky-Rabas ◽  
Elmar Gräßel ◽  
Hans-Ulrich Prokosch
Keyword(s):  
Data Collection ◽  
Technology Acceptance ◽  
Mobile Devices ◽  
Mixed Method ◽  
User Group ◽  
Electronic Data ◽  
Thinking Aloud ◽  
Electronic Data Collection ◽  
Usability Problems ◽  
Dementia Registry

BACKGROUND Digital registries have shown to provide an efficient way better to understand the clinical complexity and long-term progression of diseases. The paperless way of electronic data collection during a patient interview saves both: time and resources. In the prospective multicenter 'Digital Dementia Registry Bavaria - digiDEM Bayern', interviews are also conducted on-site in rural areas with unreliable internet connectivity. It must be ensured that electronic data collection can still be performed there, and it is no need to fall back on paper-based questionnaires. Therefore, the EDC system REDCap offers, in addition to a web-based data collection solution, the option to collect data offline via an app and synchronize it afterward. OBJECTIVE This study evaluates the usability of the REDCap app as an offline electronic data collection option for a lay user group and examines the necessary technology acceptance using mobile devices for data collection. Thereby, the feasibility of the app-based offline data collection in the dementia registry project was evaluated before going live. METHODS The study was conducted with an exploratory mixed-method in the form of an on-site usability test with the 'Thinking Aloud' method combined with a tailored semi-standardized online questionnaire including System Usability Score (SUS). The acceptance of mobile devices for the data collection was surveyed based on the technology acceptance model (TAM) with five categories. RESULTS Using the Thinking Aloud method, usability problems were identified and solutions were derived therefore. The evaluation of the REDCap app resulted in a SUS score of 74, which represents 'good' usability. After evaluating the technology acceptance questionnaire, it can be stated that the lay user group is open to mobile devices as interview tools. CONCLUSIONS The usability evaluation results show that a lay user group like the data collecting partners in the digiDEM project can handle the REDCap app well overall. The usability test provided statements about positive aspects and was able to identify usability problems of the REDCap app. In addition, the current technology acceptance in the sample showed that heterogeneous groups of different ages with different experiences in handling mobile devices are also ready for the use of app-based EDC systems. Based on the results, it can be assumed that the offline use of an app-based EDC system on mobile devices is a viable solution to collect data in a registry-based research project.

Social Network Construction in the Information Age

2011 ◽  
pp. 131-155 ◽  
Author(s):  
Michael Farrugia ◽  
Neil Hurley ◽  
Diane Payne ◽  
Aaron Quigley
Keyword(s):  
Social Network ◽  
Data Collection ◽  
Information Age ◽  
Network Data ◽  
Electronic Data ◽  
Network Construction ◽  
Electronic Data Collection ◽  
Social Network Data

In this chapter, the authors will discuss the differences between manual data collection and electronic data collection to understand the advantages and the challenges brought by electronic social network data. They will discuss in detail the processes that are used to transform electronic data to social network data and the procedures that can be used to validate the resultant social network.

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