Usability and Usability Testing

Geisen, Emily; Bergstrom, Jennifer Romano

doi:10.1016/b978-0-12-803656-3.00001-4

Cited by 15 publications

(12 citation statements)

References 12 publications

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“…Compared to other studies, similarly large sample sizes could provide valid results [ 95 ]. The sample size also depends on how many different platforms are evaluated [ 61 ]. Therefore, it can be assumed that 12 participants was a suitable sample size for this study.…”

Section: Discussionmentioning

confidence: 99%

“…We took care that the sociodemographic characteristics of the sample were as broadly distributed as possible to guarantee validity and trustworthiness of the qualitative data [ 58 , 59 ]. In particular, all age groups needed to be included in the sample, as age can significantly affect the usability rating [ 60 , 61 ]. For the sample selection, the digiDEM partners were first divided into subgroups based on the type of facility in which they worked: community counseling bodies, support groups, flat-sharing communities, daycare facilities, outpatient care organizations, geriatric rehabilitation facilities, and research institutes.…”

Section: Methodsmentioning

confidence: 99%

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

et al. 2021

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Background Digital registries have been shown to provide an efficient way of gaining a better understanding of the clinical complexity and long-term progression of diseases. The paperless method of electronic data capture (EDC) during a patient interview saves both time and resources. In the prospective multicenter project “Digital Dementia Registry Bavaria (digiDEM Bayern),” interviews are also performed on site in rural areas with unreliable internet connectivity. It must be ensured that EDC can still be performed in such a context and that there is no need to fall back on paper-based questionnaires. In addition to a web-based data collection solution, the EDC system REDCap (Research Electronic Data Capture) offers the option to collect data offline via an app and to synchronize it afterward. Objective The aim of this study was to evaluate the usability of the REDCap app as an offline EDC option for a lay user group and to examine the necessary technology acceptance of using mobile devices for data collection. The feasibility of the app-based offline data collection in the digiDEM Bayern dementia registry project was then evaluated before going live. Methods An exploratory mixed method design was employed in the form of an on-site usability test with the “Thinking Aloud” method combined with an online questionnaire including the System Usability Scale (SUS). The acceptance of mobile devices for data collection was surveyed based on five categories of the technology acceptance model. Results Using the “Thinking Aloud” method, usability issues were identified and solutions were accordingly derived. 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 concluded that the lay user group is open to mobile devices as interview tools. Conclusions The usability evaluation results show that a lay user group generally agree that data collecting partners in the digiDEM project can handle the REDCap app well. The usability evaluation provided statements about positive aspects and could also identify usability issues relating to the REDCap app. In addition, the current technology acceptance in the sample showed that heterogeneous groups of different ages with diverse experiences in handling mobile devices are also ready for the use of app-based EDC systems. Based on these results, it can be assumed that the offline use of an app-based EDC system on mobile devices is a viable solution for collecting data in a decentralized registry–based research project.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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

et al. 2021

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“…The evaluation of the web-based survey included all the elements of the paper version, but participants were additionally asked to comment on the online layout and design of the survey items and navigation features. Web-based design modifications were introduced as a result in order to optimise the user experience and ensure response options would display correctly on different types of electronic devices [ 47 , 48 ].…”

Section: Methodsmentioning

confidence: 99%

Development of a national survey on foot involvement among people with psoriatic arthritis in Australia using a best practice approach: a survey development protocol

Carter

Walmsley

Rome

et al. 2020

Journal of Foot and Ankle Research

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Background: Limited research to date has defined the nature and extent of foot involvement in a psoriatic arthritis-specific population in Australia and the scale of the problem remains unclear. Survey research provides the ideal opportunity to sample a large population over a wide geographical area. Although quality criteria for survey research have been developed, research shows that adherence is low and that survey studies are poorly reported in peer-reviewed survey articles, which limits the ability to inform future survey design. The objective of this paper was to develop a national survey about foot involvement in people with psoriatic arthritis using a best practice approach. This is a methods paper for the development of survey research. Methods: A systematic, multi-stage process of survey development was undertaken, which comprised 3 phases: 1) the generation of the conceptual framework and survey content; 2) the development of the survey and pre-testing and 3) development of the survey dissemination strategy. A survey best practice approach was adopted using iterative pre-testing techniques, which included; cognitive debriefing, cultural sensitivity review, survey design expert validation, subject expert validation and pilot testing. Targeted postal and online survey dissemination strategies were developed a priori to optimise the response rates anticipated. Results: A 59-item survey with 8 sections was developed. Findings demonstrated a high survey response (n = 649), high data completeness (83% of respondents reached the end of the survey) and low rates of missing data (below 5% for 95% of respondents). Extensive survey pre-testing among the target population, health professionals and experts improved the overall quality, content validity, functioning and representativeness of the survey instrument, which optimised potential response rates. Clear audit trails that mapped the analytical process at each stage substantiated the rigour of the survey development methods. Robust strategies for sampling, survey dissemination and community engagement were deemed to have made a powerful contribution to response rates and the scale of information collected.

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“…In any CAI application, usability is a main concern (Couper, 2008, 2000), and web survey usability from the respondent perspective is well studied (Geisen & Bergstrom, 2017). In CAPI applications, however, usability from the respondent’s perspective is often not considered.…”

Section: The Design Of Effective Computer Assisted Interviewing Methomentioning

confidence: 99%

Comparing Paper and Tablet Modes of Retrospective Activity Space Data Collection

Yabiku

Glick

Wentz

et al. 2017

Survey Research Methods

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Usability and Usability Testing

Cited by 15 publications

References 12 publications

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

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

Development of a national survey on foot involvement among people with psoriatic arthritis in Australia using a best practice approach: a survey development protocol

Comparing Paper and Tablet Modes of Retrospective Activity Space Data Collection

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