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Reducing Assessment Barriers for Patients With Low Literacy

Reducing Assessment Barriers for Patients With Low Health Literacy

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03584490
Enrollment
729
Registered
2018-07-12
Start date
2018-09-14
Completion date
2023-07-31
Last updated
2024-10-15

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

Conditions

Health Literacy

Brief summary

The purpose of this study is to determine the effects of health literacy on questionnaire-based measurement.

Detailed description

Low health literacy as a barrier to healthcare. Health literacy is defined as the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions. A vast body of research shows that lower health literacy is associated with poorer outcomes, including higher hospitalization rates, worse health, and greater mortality. Approximately 75 million U.S. adults have low health literacy. Worse yet, racial and ethnic minorities and older individuals (age 65+) are more likely to have low health literacy, creating another mechanism for health disparities. These data indicate that many people will have difficulties adhering to treatment regimens that require health literacy, as well as completing questionnaires for public health and health research and care. Improving self-report assessment. Health surveys are ubiquitous, but almost no questionnaires used across the country have been validated for use with people who have low health literacy. This is a glaring shortcoming in current survey validation methodology; inaccurate surveys lead to false conclusions and threaten the empirical foundation of everyone's efforts to understand and improve public health, healthcare, and health outcomes. Our goal is to rectify this shortcoming. This study will 1) determine the effect of health literacy on widely-used questionnaires, 2) determine the stability of psychometric properties of questionnaires over time, and 3) test various testing formats to determine which ones work best for people with low health literacy. Due to the COVID-19 pandemic, the study will implement phone-based assessments in addition to the original in-person protocol described above. The phone-based assessments will only be available to enrolled or previously enrolled participants. Participants will be asked questionnaires over the phone by a research coordinator at 3 time-points over 6 months.

Interventions

OTHERComputerized Talking Touchscreen

The intervention is a computerized talking touchscreen designed to aid people with low health literacy. All Participants in both arms will complete a battery of health questionnaires. One group will complete questionnaires in traditional pen-and-paper format. The other group will receive the computerized talking touchscreen, which reads questions to participants on demand.

OTHERPhone Administration of Questionnaires

This intervention will pilot questionnaire administration over the phone with currently enrolled or previously enrolled participants from the original intervention. This method was used during the COVID-19 pandemic.

Sponsors

National Institutes of Health (NIH)
CollaboratorNIH
National Institute on Minority Health and Health Disparities (NIMHD)
CollaboratorNIH
Northwestern University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
NONE

Intervention model description

The study is a two-group, three time-point experimental design. The two study groups are paper-and-pencil questionnaires versus a computerized talking touchscreen interface. The three time points are baseline, 3-month follow-up, and 6-month follow-up. Additionally, due to the COVID-19 pandemic, participants can optionally enroll in a phone-based assessment that includes 3 time-points over 6 months.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Be 18 years of age or older * Be willing to provide informed consent, including signing the consent form * Be willing to be randomized to administration method * Be willing to complete questionnaires and interviews * Be fluent in English and/or Spanish * Be willing to attend three face-to-face sessions * Have no plans to move out of the study area in the next six months

Exclusion criteria

* Significant cognitive or neurologic impairment * Being a prisoner, detainee, or in police custody * Unable to complete the consent process * Inadequate vision to see study materials (worse than 20/80 corrected) * Inadequate hearing or manual dexterity to use the computer system Phone-based protocol: Inclusion criteria: 1. Enrollment in the in-person protocol (including all inclusion/

Design outcomes

Primary

MeasureTime frameDescription
The Degree of Differential Item Functioning (DIF) in NIH Patient-Reported Outcomes Measurement Information System (PROMIS Profile 57 v 2.0) Anxiety Subscale6 monthsA primary outcome of this study will be the degree of DIF in NIH PROMIS questionnaire Anxiety subscale observed across adequate versus low health literacy. The outcome will be measured by a McFadden pseudo-R-square (R2), which captures the degree to which health-literacy group determines probability of response type for each item. The pseudo R2 is an analogue to R2 used in linear regression. For DIF analysis, each scale is normalized to a theta metric (mean = 0, standard dev. = 1 by definition). PROMIS is scaled by T-scores, referenced against the US population mean. Items are aggregated using item response theory, but aggregation is not relevant here because the McFadden pseudo-R2 is evaluated for each item. We report the maximum DIF value across items by condition. Pseudo-R2 values express how much health literacy and/or health literacy's interaction with anxiety determine the probability of response. Higher values correspond to higher DIF; lower values correspond to lower DIF.
Patient Health Questionnaire (PHQ-9)6 monthsA primary outcome of this study will be the degree of DIF observed in the Patient Health Questionnaire (PHQ-9), a questionnaire used to measure depression across adequate versus low health literacy. The outcome will be measured by a McFadden pseudo-R-square (R2), which captures the degree to which health-literacy group determines probability of response type for each item. Pseudo-R2 is an analogue to R2 used in linear regression. For DIF analysis, each scale is normalized to a theta metric (mean = 0, standard dev. = 1 by definition). Normally items are aggregated by a sum score, but the aggregation is not relevant to this study because the McFadden pseudo-R2 is evaluated for each item, not for aggregate scores. We report the maximum DIF value across items by condition. Pseudo-R2 values express how much health literacy and/or health literacy's interaction with depression determine the probability of response. Higher values correspond to higher DIF; lower values correspond to lower DIF.
The Degree of Differential Item Functioning (DIF) in NIH Patient-Reported Outcomes Measurement Information System (PROMIS Profile 57 v 2.0) Depression Subscale6 monthsA primary outcome will be the degree of DIF in NIH PROMIS questionnaire Depression subscale observed across adequate versus low health literacy. The outcome will be measured by a McFadden pseudo-R-square (R2), which captures the degree to which health-literacy group determines probability of response type for each item. The pseudo R2 is an analogue to R2 used in linear regression. For DIF analysis, each scale is normalized to a theta metric (mean = 0, standard dev. = 1 by definition). PROMIS is scaled by T-scores, referenced against the US population mean. Items are aggregated using item response theory, but aggregation is not relevant here because the McFadden pseudo-R2 is evaluated for each item. We report the maximum DIF value across items by condition. Pseudo-R2 values express how much health literacy and/or health literacy's interaction with depression determine the probability of response. Higher values correspond to higher DIF; lower values correspond to lower DIF.

Countries

United States

Participant flow

Participants by arm

ArmCount
Pen-and-paper Format
Based on randomization, participants in this group will receive traditional pen-and-paper questionnaires about health. Phone Administration of Questionnaires: This intervention will pilot questionnaire administration over the phone with currently enrolled or previously enrolled participants from the original intervention.
362
Computerized Talking Touchscreen
This group will receive the Computerized Talking Touchscreen intervention. Based on randomization, participants in this group will receive a computerized talking touchscreen version of our health questionnaires, which allows the participant to have questions and answer choices read aloud to them by the computer. Computerized Talking Touchscreen: The intervention is a computerized talking touchscreen designed to aid people with low health literacy. All Participants in both arms will complete a battery of health questionnaires. One group will complete questionnaires in traditional pen-and-paper format. The other group will receive the computerized talking touchscreen, which reads questions to participants on demand. Phone Administration of Questionnaires: This intervention will pilot questionnaire administration over the phone with currently enrolled or previously enrolled participants from the original intervention.
367
Total729

Baseline characteristics

CharacteristicPen-and-paper FormatTotalComputerized Talking Touchscreen
Age, Continuous49.75 years49.5 years48.93 years
Ethnicity (NIH/OMB)
Hispanic or Latino
97 Participants206 Participants109 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
265 Participants521 Participants256 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants2 Participants2 Participants
Race (NIH/OMB)
American Indian or Alaska Native
9 Participants17 Participants8 Participants
Race (NIH/OMB)
Asian
9 Participants23 Participants14 Participants
Race (NIH/OMB)
Black or African American
164 Participants322 Participants158 Participants
Race (NIH/OMB)
More than one race
5 Participants7 Participants2 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
1 Participants1 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
74 Participants163 Participants89 Participants
Race (NIH/OMB)
White
100 Participants196 Participants96 Participants
Region of Enrollment
United States
362 participants729 participants367 participants
Sex/Gender, Customized
sex
Female
221 Participants448 Participants227 Participants
Sex/Gender, Customized
sex
Male
141 Participants281 Participants140 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 3620 / 367
other
Total, other adverse events
0 / 3620 / 367
serious
Total, serious adverse events
0 / 3620 / 367

Outcome results

Primary

Patient Health Questionnaire (PHQ-9)

A primary outcome of this study will be the degree of DIF observed in the Patient Health Questionnaire (PHQ-9), a questionnaire used to measure depression across adequate versus low health literacy. The outcome will be measured by a McFadden pseudo-R-square (R2), which captures the degree to which health-literacy group determines probability of response type for each item. Pseudo-R2 is an analogue to R2 used in linear regression. For DIF analysis, each scale is normalized to a theta metric (mean = 0, standard dev. = 1 by definition). Normally items are aggregated by a sum score, but the aggregation is not relevant to this study because the McFadden pseudo-R2 is evaluated for each item, not for aggregate scores. We report the maximum DIF value across items by condition. Pseudo-R2 values express how much health literacy and/or health literacy's interaction with depression determine the probability of response. Higher values correspond to higher DIF; lower values correspond to lower DIF.

Time frame: 6 months

ArmMeasureValue (NUMBER)
Pen-and-paper FormatPatient Health Questionnaire (PHQ-9)0.00 Pseudo-R2
Computerized Talking TouchscreenPatient Health Questionnaire (PHQ-9)0.02 Pseudo-R2
Primary

The Degree of Differential Item Functioning (DIF) in NIH Patient-Reported Outcomes Measurement Information System (PROMIS Profile 57 v 2.0) Anxiety Subscale

A primary outcome of this study will be the degree of DIF in NIH PROMIS questionnaire Anxiety subscale observed across adequate versus low health literacy. The outcome will be measured by a McFadden pseudo-R-square (R2), which captures the degree to which health-literacy group determines probability of response type for each item. The pseudo R2 is an analogue to R2 used in linear regression. For DIF analysis, each scale is normalized to a theta metric (mean = 0, standard dev. = 1 by definition). PROMIS is scaled by T-scores, referenced against the US population mean. Items are aggregated using item response theory, but aggregation is not relevant here because the McFadden pseudo-R2 is evaluated for each item. We report the maximum DIF value across items by condition. Pseudo-R2 values express how much health literacy and/or health literacy's interaction with anxiety determine the probability of response. Higher values correspond to higher DIF; lower values correspond to lower DIF.

Time frame: 6 months

ArmMeasureValue (NUMBER)
Pen-and-paper FormatThe Degree of Differential Item Functioning (DIF) in NIH Patient-Reported Outcomes Measurement Information System (PROMIS Profile 57 v 2.0) Anxiety Subscale0.06 Pseudo-R2
Computerized Talking TouchscreenThe Degree of Differential Item Functioning (DIF) in NIH Patient-Reported Outcomes Measurement Information System (PROMIS Profile 57 v 2.0) Anxiety Subscale0.02 Pseudo-R2
Primary

The Degree of Differential Item Functioning (DIF) in NIH Patient-Reported Outcomes Measurement Information System (PROMIS Profile 57 v 2.0) Depression Subscale

A primary outcome will be the degree of DIF in NIH PROMIS questionnaire Depression subscale observed across adequate versus low health literacy. The outcome will be measured by a McFadden pseudo-R-square (R2), which captures the degree to which health-literacy group determines probability of response type for each item. The pseudo R2 is an analogue to R2 used in linear regression. For DIF analysis, each scale is normalized to a theta metric (mean = 0, standard dev. = 1 by definition). PROMIS is scaled by T-scores, referenced against the US population mean. Items are aggregated using item response theory, but aggregation is not relevant here because the McFadden pseudo-R2 is evaluated for each item. We report the maximum DIF value across items by condition. Pseudo-R2 values express how much health literacy and/or health literacy's interaction with depression determine the probability of response. Higher values correspond to higher DIF; lower values correspond to lower DIF.

Time frame: 6 months

ArmMeasureValue (NUMBER)
Pen-and-paper FormatThe Degree of Differential Item Functioning (DIF) in NIH Patient-Reported Outcomes Measurement Information System (PROMIS Profile 57 v 2.0) Depression Subscale0.04 Pseudo-R2
Computerized Talking TouchscreenThe Degree of Differential Item Functioning (DIF) in NIH Patient-Reported Outcomes Measurement Information System (PROMIS Profile 57 v 2.0) Depression Subscale0.04 Pseudo-R2

Source: ClinicalTrials.gov · Data processed: Feb 11, 2026