Dataset Information

Towards Usable E-Health. A Systematic Review of Usability Questionnaires.

ABSTRACT:

Background

The use of e-health can lead to several positive outcomes. However, the potential for e-health to improve healthcare is partially dependent on its ease of use. In order to determine the usability for any technology, rigorously developed and appropriate measures must be chosen.

Objectives

To identify psychometrically tested questionnaires that measure usability of e-health tools, and to appraise their generalizability, attributes coverage, and quality.

Methods

We conducted a systematic review of studies that measured usability of e-health tools using four databases (Scopus, PubMed, CINAHL, and HAPI). Non-primary research, studies that did not report measures, studies with children or people with cognitive limitations, and studies about assistive devices or medical equipment were systematically excluded. Two authors independently extracted information including: questionnaire name, number of questions, scoring method, item generation, and psychometrics using a data extraction tool with pre-established categories and a quality appraisal scoring table.

Results

Using a broad search strategy, 5,558 potentially relevant papers were identified. After removing duplicates and applying exclusion criteria, 35 articles remained that used 15 unique questionnaires. From the 15 questionnaires, only 5 were general enough to be used across studies. Usability attributes covered by the questionnaires were: learnability (15), efficiency (12), and satisfaction (11). Memorability (1) was the least covered attribute. Quality appraisal showed that face/content (14) and construct (7) validity were the most frequent types of validity assessed. All questionnaires reported reliability measurement. Some questionnaires scored low in the quality appraisal for the following reasons: limited validity testing (7), small sample size (3), no reporting of user centeredness (9) or feasibility estimates of time, effort, and expense (7).

Conclusions

Existing questionnaires provide a foundation for research on e-health usability. However, future research is needed to broaden the coverage of the usability attributes and psychometric properties of the available questionnaires.

SUBMITTER: Sousa VEC

PROVIDER: S-EPMC6241759 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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Publications

Towards Usable E-Health. A Systematic Review of Usability Questionnaires.

Sousa Vanessa E C VEC Dunn Lopez Karen K

Applied clinical informatics 20170510 2

<h4>Background</h4>The use of e-health can lead to several positive outcomes. However, the potential for e-health to improve healthcare is partially dependent on its ease of use. In order to determine the usability for any technology, rigorously developed and appropriate measures must be chosen.<h4>Objectives</h4>To identify psychometrically tested questionnaires that measure usability of e-health tools, and to appraise their generalizability, attributes coverage, and quality.<h4>Methods</h4>We ...[more]

PMID: 28487932

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Dataset Information

Towards Usable E-Health. A Systematic Review of Usability Questionnaires.

Background

Objectives

Methods

Results

Conclusions

Publications

Towards Usable E-Health. A Systematic Review of Usability Questionnaires.

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