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Effective Communication to Improve Decision Making About Health Care Plans

Effective Communication to Improve Decision Making About Health Care Plans

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01986790
Enrollment
343
Registered
2013-11-18
Start date
2012-04-30
Completion date
2014-06-30
Last updated
2016-06-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Insurance, Health Literacy, Health Services Accessibility

Keywords

Health insurance, Health services accessibility, Decision making, Health literacy

Brief summary

The overall goal of the study is to better understand how communication strategies can help people make decisions about health insurance plans. This study aims to: * (Aim 1) Examine currently uninsured individuals' understanding of terminology and details of health insurance plans; * (Aim 2) Apply three recommended strategies for communicating information about health insurance plans; * (Aim 3) Test the effects of these strategies in a randomized experiment.

Detailed description

First, this study will examine people's understanding of health insurance plan terminology and details through qualitative interviews with 50 uninsured individuals. These responses will then lead to the development of three communication strategies to improve understanding of health insurance plans: 1) plain language, 2) plain language plus visual displays and 3) plain language plus narratives. The strategies will the be pilot tested with 30 individuals to assess readability, clarity of language, and layout. The revised communication strategies will be tested with 280 individuals in a randomized experiment. Individuals will be randomly assigned to either a plain language condition alone, a plain language + visual displays condition, and a plain language + narrative condition.

Interventions

BEHAVIORALPlain Language
BEHAVIORALPlain Language + Visuals
BEHAVIORALPlain Language + Narratives

Sponsors

Agency for Healthcare Research and Quality (AHRQ)
CollaboratorFED
Washington University School of Medicine
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
18 Years to 64 Years
Healthy volunteers
Yes

Inclusion criteria

* Must be without health insurance currently * Must have been without health insurance at some point in the past 12 months * Must speak English

Exclusion criteria

* Currently has health insurance and has not had any lapses in coverage in the past 12 months * Does not speak English

Design outcomes

Primary

MeasureTime frameDescription
Knowledge1 day (Immediately following showing the participant the assigned intervention (plain language table, plain language table + visuals, or plain language table + narratives)Knowledge measures the degree at which participants understand the details about health insurance plans. Knowledge was scored on a scale from 0 to 7 based on number of correct answers to the 7 items. A higher value is considered to be a better outcome. Bivariate outcome data can be found below.
Uncertainty1 day (Immediately following showing the participant the assigned intervention (plain language table, plain language table + visuals, or plain language table + narratives)A survey will be administered in order to measure participants' confidence in the features of health insurance plans that matter most to them and the insurance plan they chose of the ones presented. Confidence in choice is scored on a scale from 0 to 100, with higher scores indicating more decisional conflict/more uncertainty/less confidence in choice. Bivariate outcome data can be found below.
Satisfaction1 day (Immediately following showing the participant the assigned intervention (plain language table, plain language table + visuals, or plain language table + narratives)A survey will be administered in order to measure the extent to which participants are satisfied with the information presented to them. Satisfaction was scored on a scale from 1 to 4, with higher scores indicating higher levels of satisfaction. Bivariate outcome data can be found below.

Countries

United States

Participant flow

Participants by arm

ArmCount
Plain Language
This intervention group will receive a plain-language table describing the features and costs of health insurance plans, with definitions of health insurance terms incorporated into the table. Plain Language
91
Plain Language + Visuals
This intervention group will receive the plain-language table plus visuals that focus on specific features of the plans. Participants will be able to view the information about each health insurance feature one feature at a time, in the order they prefer. Plain Language + Visuals
154
Plain Language + Narratives
This intervention group will receive the plain language table plus narratives about how others might use and rate the insurance plans. Plain Language + Narratives
98
Total343

Baseline characteristics

CharacteristicPlain LanguagePlain Language + VisualsPlain Language + NarrativesTotal
Age, Continuous38.9 Years
STANDARD_DEVIATION 12
38.7 Years
STANDARD_DEVIATION 11.7
37.8 Years
STANDARD_DEVIATION 12.1
38.5 Years
STANDARD_DEVIATION 11.8
Ethnicity (NIH/OMB)
Hispanic or Latino
2 Participants4 Participants1 Participants7 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
80 Participants136 Participants88 Participants304 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
9 Participants14 Participants9 Participants32 Participants
Race/Ethnicity, Customized
African American
48 Participants87 Participants59 Participants194 Participants
Race/Ethnicity, Customized
Not Reported
7 Participants14 Participants9 Participants30 Participants
Race/Ethnicity, Customized
Other
5 Participants11 Participants6 Participants22 Participants
Race/Ethnicity, Customized
White
31 Participants42 Participants24 Participants97 Participants
Rapid Estimate of Adult Literacy in Medicine-SF (REALM-SF)
Adequate
52 Participants85 Participants44 Participants181 Participants
Rapid Estimate of Adult Literacy in Medicine-SF (REALM-SF)
Inadequate
6 Participants11 Participants8 Participants25 Participants
Rapid Estimate of Adult Literacy in Medicine-SF (REALM-SF)
Marginal
31 Participants56 Participants42 Participants129 Participants
Rapid Estimate of Adult Literacy in Medicine-SF (REALM-SF)
Not Reported
2 Participants2 Participants4 Participants8 Participants
Region of Enrollment
United States
91 Participants154 Participants98 Participants343 Participants
Sex: Female, Male
Female
61 Participants79 Participants63 Participants203 Participants
Sex: Female, Male
Male
30 Participants75 Participants35 Participants140 Participants
Subjective Numeracy Scale (SNS)4.1 Units on a scale
STANDARD_DEVIATION 1.1
4.2 Units on a scale
STANDARD_DEVIATION 1
3.7 Units on a scale
STANDARD_DEVIATION 1.2
4.0 Units on a scale
STANDARD_DEVIATION 1.1

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
— / —— / —— / —
other
Total, other adverse events
0 / 00 / 00 / 0
serious
Total, serious adverse events
0 / 00 / 00 / 0

Outcome results

Primary

Knowledge

Knowledge measures the degree at which participants understand the details about health insurance plans. Knowledge was scored on a scale from 0 to 7 based on number of correct answers to the 7 items. A higher value is considered to be a better outcome. Bivariate outcome data can be found below.

Time frame: 1 day (Immediately following showing the participant the assigned intervention (plain language table, plain language table + visuals, or plain language table + narratives)

Population: Analysis is represented as mean (standard deviation) of calculated knowledge.

ArmMeasureValue (MEAN)Dispersion
Plain LanguageKnowledge6.0 Units on a scaleStandard Deviation 1.2
Plain Language + VisualsKnowledge5.7 Units on a scaleStandard Deviation 1.3
Plain Language + NarrativesKnowledge5.5 Units on a scaleStandard Deviation 1.5
Primary

Satisfaction

A survey will be administered in order to measure the extent to which participants are satisfied with the information presented to them. Satisfaction was scored on a scale from 1 to 4, with higher scores indicating higher levels of satisfaction. Bivariate outcome data can be found below.

Time frame: 1 day (Immediately following showing the participant the assigned intervention (plain language table, plain language table + visuals, or plain language table + narratives)

Population: Analysis is represented as mean (standard deviation) of calculated satisfaction.

ArmMeasureValue (MEAN)Dispersion
Plain LanguageSatisfaction2.7 Units on a scaleStandard Deviation 0.5
Plain Language + VisualsSatisfaction2.6 Units on a scaleStandard Deviation 0.5
Plain Language + NarrativesSatisfaction2.7 Units on a scaleStandard Deviation 0.4
Primary

Uncertainty

A survey will be administered in order to measure participants' confidence in the features of health insurance plans that matter most to them and the insurance plan they chose of the ones presented. Confidence in choice is scored on a scale from 0 to 100, with higher scores indicating more decisional conflict/more uncertainty/less confidence in choice. Bivariate outcome data can be found below.

Time frame: 1 day (Immediately following showing the participant the assigned intervention (plain language table, plain language table + visuals, or plain language table + narratives)

Population: Analysis is represented as mean (standard deviation) of calculated uncertainty.

ArmMeasureValue (MEAN)Dispersion
Plain LanguageUncertainty9.6 Units on a scaleStandard Deviation 21.6
Plain Language + VisualsUncertainty10.6 Units on a scaleStandard Deviation 23.3
Plain Language + NarrativesUncertainty7.2 Units on a scaleStandard Deviation 18.8

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026