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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A qualitative evaluation of the crucial attributes of contextual Information necessary in EHR design to support patient-centered medical home care
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2015
|
| DOI | 10.1186/s12911-015-0150-x |
| Pubmed ID | |
| Authors |
Charlene R Weir, Nancy Staggers, Bryan Gibson, Kristina Doing-Harris, Robyn Barrus, Robert Dunlea |
| Abstract |
Effective implementation of a Primary Care Medical Home model of care (PCMH) requires integration of patients' contextual information (physical, mental, social and financial status) into an easily retrievable information source for the healthcare team and clinical decision-making. This project explored clinicians' perceptions about important attributes of contextual information for clinical decision-making, how contextual information is expressed in CPRS clinical documentation as well as how clinicians in a highly computerized environment manage information flow related to these areas. A qualitative design using Cognitive Task Analyses and a modified Critical Incident Technique were used. The study was conducted in a large VA with a fully implemented EHR located in the western United States. Seventeen providers working in a PCMH model of care in Primary Care, Home Based Care and Geriatrics reported on a recent difficult transition requiring contextual information for decision-making. The transcribed interviews were qualitatively analyzed for thematic development related to contextual information using an iterative process and multiple reviewers with ATLAS@ti software. Six overarching themes emerged as attributes of contextual information: Informativeness, goal language, temporality, source attribution, retrieval effort, and information quality. These results indicate that specific attributes are needed to in order for contextual information to fully support clinical decision-making in a Medical Home care delivery environment. Improved EHR designs are needed for ease of contextual information access, displaying linkages across time and settings, and explicit linkages to both clinician and patient goals. Implications relevant to providers' information needs, team functioning and EHR design are discussed. |
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 % |
|---|---|---|
| India | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Brazil | 2 | 2% |
| Colombia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 126 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 20% |
| Researcher | 18 | 14% |
| Student > Ph. D. Student | 16 | 12% |
| Other | 10 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Other | 35 | 26% |
| Unknown | 20 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 20% |
| Nursing and Health Professions | 21 | 16% |
| Social Sciences | 13 | 10% |
| Psychology | 9 | 7% |
| Computer Science | 9 | 7% |
| Other | 25 | 19% |
| Unknown | 30 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 April 2015.
All research outputs
#14,221,392
of 22,799,071 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,100
of 1,987 outputs
Outputs of similar age
#125,454
of 237,938 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#21
of 36 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,987 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 39th percentile – i.e., 39% 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 237,938 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.