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Rehabilitation in Practice

The role of theory to develop and evaluate a toolkit to increase clinical measurement and interpretation of walking speed and distance in adults post-stroke

ORCID Icon, ORCID Icon, , , , ORCID Icon, , , & show all
Pages 3719-3735 | Received 27 Mar 2020, Accepted 18 Dec 2020, Published online: 16 Jan 2021

Figures & data

Figure 1. Knowledge-to-action framework (taken from Graham et al. [Citation31] with copyright permission).

Figure 1. Knowledge-to-action framework (taken from Graham et al. [Citation31] with copyright permission).

Figure 2. Use of the knowledge-to-action framework, self-efficacy theory, a guideline implementability framework, and the transtheoretical model to guide the development and process evaluation of the toolkit and implementation strategy.

Figure 2. Use of the knowledge-to-action framework, self-efficacy theory, a guideline implementability framework, and the transtheoretical model to guide the development and process evaluation of the toolkit and implementation strategy.

Table 1. Purpose and rationale for iWalk toolkit components to address barriers to walk test use.

Table 2. Reviewer ratings of guideline implementability features of the iWalk toolkit.

Figure 3. Overview of data collection for the primary analysis (impact evaluation) and process evaluation.

Figure 3. Overview of data collection for the primary analysis (impact evaluation) and process evaluation.

Table 3. Process evaluation framework: constructs, variables, and data collection approach.

Figure 4. Flow of participants in the study.

Figure 4. Flow of participants in the study.

Table 4. Participant and practice characteristics.

Table 5. Completion of learning activities by physical therapists (n = 37).

Table 6. Mobile App Rating Scale scores (n = 31)a.

Table 7. Likelihood of iWalkAssess app improving users’ knowledge, attitudes, intentions, and behaviour (n = 30).

Table 8. Qualitative findings describing iWalk toolkit implementability.

Table 9. Self-efficacy to apply walk test practices pre- and post-intervention (n = 37).

Table 10. Nature of iWalkAssess app use during intervention period (n = 31)a.

Supplemental material

Supplementary Material 6

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Supplementary Material 5

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Supplementary Material 4

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Supplementary Material 3

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Supplementary Material 2

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Supplementary Material 1

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Data availability statement

The data gathered and used for this analysis are not publically available because of the inclusion of identifying information of the participants and potentially sensitive case information.