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Development and field testing of a patient decision aid for management of acute Achilles tendon rupture: a study protocol

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2021
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Title
Development and field testing of a patient decision aid for management of acute Achilles tendon rupture: a study protocol
Published in
BMC Medical Informatics and Decision Making, July 2021
DOI 10.1186/s12911-021-01589-5
Pubmed ID
Authors

Brad Meulenkamp, Julia Brillinger, Dean Fergusson, Dawn Stacey, Ian D. Graham

Abstract

Achilles tendon ruptures are common injuries in an otherwise healthy, active population. Several treatment options exist, with both surgical and non-surgical options. Each treatment option has a unique set of risks and harms, which may present patients with decisional conflict. The aim of the proposed study is to develop, alpha test and field test a patient decision aid for patients presenting with acute Achilles tendon ruptures. This is a three-stage study protocol. First, we will assemble a multi-disciplinary steering group including patients, clinicians, educators, and researchers to develop the patient decision aid prototype using the Ottawa Decision Support Framework. Second, we will perform a mixed-methods alpha test of the decision aid prototype with patients and clinicians experienced in acute Achilles tendon ruptures. Outcomes measured will include acceptability and usability of the patient decision aid measured using validated outcome scales and semi-structured interviews. A minimum of three rounds of feedback will be obtained. Results will be analyzed using descriptive statistics, reviewed by the steering group, to guide revisions to decision aid prototype at each round. The third stage will be field testing the revised decision aid prototype in usual clinical care. A pre-/post-study will be performed with patients with acute Achilles tendon ruptures. Patients will be recruited from the emergency department and complete the pre-consultation decision aid prior to a one-week follow up with their surgeon. The primary outcome of field testing will be feasibility of implementing the decision aid in the clinical setting and will be measured with recruitment and completion metrics. Secondary outcomes include acceptability of the decision aid, knowledge, preparedness for decision making, and decisional conflict, measured using validated outcome measures. Statistical analysis will be performed using descriptive analysis for primary outcomes and a student t-test and Wilcoxon Rank-Sum test for secondary outcomes. This comprehensive study protocol outlines the development, alpha testing, and field testing of a patient decision aid for patients with acute Achilles tendon rupture. Systematic and transparent development and testing of patient decision aids is critical to improve decision aid quality. Trial registration Not Applicable.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Student > Doctoral Student 2 9%
Researcher 2 9%
Librarian 1 5%
Student > Bachelor 1 5%
Other 3 14%
Unknown 8 36%
Readers by discipline Count As %
Medicine and Dentistry 5 23%
Nursing and Health Professions 4 18%
Unspecified 1 5%
Business, Management and Accounting 1 5%
Sports and Recreations 1 5%
Other 1 5%
Unknown 9 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 July 2021.
All research outputs
#18,818,439
of 23,321,213 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,597
of 2,024 outputs
Outputs of similar age
#315,372
of 436,501 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#47
of 62 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.