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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Show Me My Health Plans: a study protocol of a randomized trial testing a decision support tool for the federal health insurance marketplace in Missouri
|
|---|---|
| Published in |
BMC Health Services Research, February 2016
|
| DOI | 10.1186/s12913-016-1314-9 |
| Pubmed ID | |
| Authors |
Mary C. Politi, Abigail R. Barker, Kimberly A. Kaphingst, Timothy McBride, Enbal Shacham, Carey S. Kebodeaux |
| Abstract |
The implementation of the ACA has improved access to quality health insurance, a necessary first step to improving health outcomes. However, access must be supplemented by education to help individuals make informed choices for plans that meet their individual financial and health needs. Drawing on a model of information processing and on prior research, we developed a health insurance decision support tool called Show Me My Health Plans. Developed with extensive stakeholder input, the current tool (1) simplifies information through plain language and graphics in an educational component; (2) assesses and reviews knowledge interactively to ensure comprehension of key material; (3) incorporates individual and/or family health status to personalize out-of-pocket cost estimates; (4) assesses preferences for plan features; and (5) helps individuals weigh information appropriate to their interests and needs through a summary page with "good fit" plans generated from a tailored algorithm. The current study will evaluate whether the online decision support tool improves health insurance decisions compared to a usual care condition (the healthcare.gov marketplace website). The trial will include 362 individuals (181 in each group) from rural, suburban, and urban settings within a 90 mile radius around St. Louis. Eligibility criteria includes English-speaking individuals 18-64 years old who are eligible for the ACA marketplace plans. They will be computer randomized to view the intervention or usual care condition. Presenting individuals with options that they can understand tailored to their needs and preferences could help improve decision quality. By helping individuals narrow down the complexity of health insurance plan options, decision support tools such as this one could prepare individuals to better navigate enrollment in a plan that meets their individual needs. The randomized trial was registered in clinicaltrials.gov (NCT02522624) on August 6, 2015. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 67% |
| France | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Scientists | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 84 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 24% |
| Researcher | 11 | 13% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Doctoral Student | 7 | 8% |
| Student > Bachelor | 7 | 8% |
| Other | 18 | 21% |
| Unknown | 13 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 25% |
| Nursing and Health Professions | 15 | 18% |
| Social Sciences | 11 | 13% |
| Psychology | 5 | 6% |
| Economics, Econometrics and Finance | 4 | 5% |
| Other | 13 | 15% |
| Unknown | 16 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 22 December 2021.
All research outputs
#4,752,072
of 25,295,968 outputs
Outputs from BMC Health Services Research
#2,254
of 8,599 outputs
Outputs of similar age
#66,285
of 304,226 outputs
Outputs of similar age from BMC Health Services Research
#28
of 85 outputs
Altmetric has tracked 25,295,968 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,599 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 73% of its peers.
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 304,226 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.