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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ready, Set, Change! Development and usability testing of an online readiness for change decision support tool for healthcare organizations
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2016
|
| DOI | 10.1186/s12911-016-0262-y |
| Pubmed ID | |
| Authors |
Caitlyn Timmings, Sobia Khan, Julia E. Moore, Christine Marquez, Kasha Pyka, Sharon E. Straus |
| Abstract |
To address challenges related to selecting a valid, reliable, and appropriate readiness assessment measure in practice, we developed an online decision support tool to aid frontline implementers in healthcare settings in this process. The focus of this paper is to describe a multi-step, end-user driven approach to developing this tool for use during the planning stages of implementation. A multi-phase, end-user driven approach was used to develop and test the usability of a readiness decision support tool. First, readiness assessment measures that are valid, reliable, and appropriate for healthcare settings were identified from a systematic review. Second, a mapping exercise was performed to categorize individual items of included measures according to key readiness constructs from an existing framework. Third, a modified Delphi process was used to collect stakeholder ratings of the included measures on domains of feasibility, relevance, and likelihood to recommend. Fourth, two versions of a decision support tool prototype were developed and evaluated for usability. Nine valid and reliable readiness assessment measures were included in the decision support tool. The mapping exercise revealed that of the nine measures, most measures (78 %) focused on assessing readiness for change at the organizational versus the individual level, and that four measures (44 %) represented all constructs of organizational readiness. During the modified Delphi process, stakeholders rated most measures as feasible and relevant for use in practice, and reported that they would be likely to recommend use of most measures. Using data from the mapping exercise and stakeholder panel, an algorithm was developed to link users to a measure based on characteristics of their organizational setting and their readiness for change assessment priorities. Usability testing yielded recommendations that were used to refine the Ready, Set, Change! decision support tool . Ready, Set, Change! decision support tool is an implementation support that is designed to facilitate the routine incorporation of a readiness assessment as an early step in implementation. Use of this tool in practice may offer time and resource-saving implications for implementation. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 134 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 16% |
| Researcher | 17 | 13% |
| Student > Ph. D. Student | 16 | 12% |
| Student > Bachelor | 10 | 7% |
| Professor > Associate Professor | 7 | 5% |
| Other | 32 | 24% |
| Unknown | 31 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 21 | 16% |
| Medicine and Dentistry | 15 | 11% |
| Psychology | 13 | 10% |
| Social Sciences | 12 | 9% |
| Business, Management and Accounting | 11 | 8% |
| Other | 24 | 18% |
| Unknown | 39 | 29% |
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 28 October 2016.
All research outputs
#15,361,255
of 22,851,489 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,314
of 1,991 outputs
Outputs of similar age
#177,011
of 298,866 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#23
of 31 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,991 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 298,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.