Evidence map›Paper›PMID 29925498›Full record

Observational studyJournal of medical Internet research2018

Dissemination of a Web-Based Tool for Supporting Health Insurance Plan Decisions (Show Me Health Plans): Cross-Sectional Observational Study.

Jingsong Zhao, Nageen Mir, Nicole Ackermann, Kimberly A Kaphingst, Mary C Politi

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Insights on Improving Health Insurance Literacy in Diabetes.The Journal of clinical endocrinology and metabolism · 2025
    Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jingsong ZhaoHuntsman Cancer Institute, Salt Lake City, UT, United States.ORCID 0000-0002-0409-6164
Nageen MirDivision of Public Health Sciences, Department of Surgery, Washington University in Saint Louis, St. Louis, MO, United States.ORCID 0000-0001-6369-3009
Nicole AckermannDivision of Public Health Sciences, Department of Surgery, Washington University in Saint Louis, St. Louis, MO, United States.ORCID 0000-0001-7411-3233
Kimberly A KaphingstHuntsman Cancer Institute, Salt Lake City, UT, United States.ORCID 0000-0003-2668-9080
Mary C PolitiDivision of Public Health Sciences, Department of Surgery, Washington University in Saint Louis, St. Louis, MO, United States.ORCID 0000-0001-9103-6495

Funding

SUPPORTING DECISIONS ABOUT HEALTH INSURANCE TO IMPROVE CARE FOR THE UNINSUREDR01MD008808 · NIMHD · WASHINGTON UNIVERSITY · PI POLITI, MARY C · 2014 to 2016
$1.1M
NIMHD NIH HHS R01 MD008808
6 · The paper itself

Abstract

backgroundThe rate of uninsured people has decreased dramatically since the Affordable Care Act was passed. To make an informed decision, consumers need assistance to understand the advantages and disadvantages of health insurance plans. The Show Me Health Plans Web-based decision support tool was developed to improve the quality of health insurance selection. In response to the promising effectiveness of Show Me Health Plans in a randomized controlled trial (RCT) and the growing need for Web-based health insurance decision support, the study team used expert recommendations for dissemination and implementation, engaged external stakeholders, and made the Show Me Health Plans tool available to the public.

objectiveThe purpose of this study was to implement the public dissemination of the Show Me Health Plans tool in the state of Missouri and to evaluate its impact compared to the RCT.

methodsThis study used a cross-sectional observational design. Dissemination phase users were compared with users in the RCT study across the same outcome measures. Time spent using the Show Me Health Plans tool, knowledge, importance rating of 9 health insurance features, and intended plan choice match with algorithm predictions were examined.

resultsDuring the dissemination phase (November 2016 to January 2017), 10,180 individuals visited the SMHP website, and the 1069 users who stayed on the tool for more than one second were included in our analyses. Dissemination phase users were more likely to live outside St. Louis City or County (P<.001), were less likely to be below the federal poverty level (P<.001), and had a higher income (P=.03). Overall, Show Me Health Plans users from St. Louis City or County spent more time on the Show Me Health Plans tool than those from other Missouri counties (P=.04); this association was not observed in the RCT. Total time spent on the tool was not correlated with knowledge scores, which were associated with lower poverty levels (P=.009). The users from the RCT phase were more likely to select an insurance plan that matched the tool's recommendations (P<.001) compared with the dissemination phase users.

conclusionsThe study suggests that a higher income population may be more likely to seek information and online help when making a health insurance plan decision. We found that Show Me Health Plans users in the dissemination phase were more selective in the information they reviewed. This study illustrates one way of disseminating and implementing an empirically tested Web-based decision aid tool. Distributing Web-based tools is feasible and may attract a large number of potential users, educate them on basic health insurance information, and make recommendations based on personal information and preference. However, using Web-based tools may differ according to the demographics of the general public compared to research study participants.

Indexed as

AdolescentAdultCross-Sectional StudiesDecision MakingFemaleHumansInsurance, HealthInternetMaleMiddle AgedUnited StatesYoung AdultAffordable Care Acthealth insurance decision aidhealth literacypublic health

Identifiers

PMID29925498
PMCPMC6031902

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.