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Understanding Disparities in Healthcare and Primary Care Provider Quality

Patient Centered Outcomes Research Institute: Mrs. A and Mr. B

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02626910
Enrollment
49
Registered
2015-12-10
Start date
2013-08-01
Completion date
2017-07-01
Last updated
2017-12-15

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

Conditions

Physical Disability

Keywords

Disability, Activity of Daily Living, Patient Satisfaction

Brief summary

The project proposes to fill gaps in the understanding of disparities in healthcare and primary care provider (PCP) quality from the perspectives of adult Medicare beneficiaries with disabilities compared to those without disabilities. Studies document racial/ethnic, economic, and education-related disparities, but little is known about healthcare disparities related to disability.

Detailed description

BACKGROUND: The project proposes to fill gaps in the understanding of disparities in healthcare and primary care provider (PCP) quality from the perspectives of adult Medicare beneficiaries with disabilities compared to those without disabilities. Studies document racial/ethnic, economic, and education-related disparities, but little is known about healthcare disparities related to disability. OBJECTIVE: The investigators' goal is to engage stakeholders as peers and partners in the development of an evidence-based Patient-Inspired Surveillance Tool for documenting variations in healthcare and PCP quality and any outcome consequences associated with these variations among people with disabilities (PWD) and people without disabilities (PWOD). The tool is intended to provide guidance on programs and policies to ameliorate disparities, improve function, and enhance autonomy in populations of people. METHODS: The investigators will explore perceptions about the determinants of healthcare and PCP quality in partnership with stakeholders including PWD, PWOD, family of PWD, and healthcare providers in efforts to better understand underlying determinants of healthcare disparities that might be accelerating clinical deterioration. Applying population weighted data and multi-variable methods to patient information included in the Medicare Current Beneficiary Survey (MCBS), the investigators will determine the presence or absence of perceived problems across 5 healthcare and PCP quality comparators and (if present) the magnitude of impact on likelihood of patients' functional improvement, functional decline, institutionalization, or death referenced to no status change by 1, 2, and 3 years. A decade of data from the MCBS (on about 40,000 working age and elderly patients) will be applied to ensure adequate statistical power for comparisons. Stakeholders will help interpret the implications of findings and partner with clinician researchers in building the Tool. PATIENT OUTCOMES: For aim 2, the outcome will be healthcare and PCP quality across 5 quality comparators including patients' perceptions about care coordination and quality, access barriers, technical skills of PCP, interpersonal skills of PCP, and the quality of information provided by PCP. Comparisons will be cross sectional contrasting the proportions of people at each stage of disability referenced to PWOD perceiving lower verses higher quality on each comparator. These 5 comparators will become the exposure for aims 3 and 4. For aims 3 and 4, the outcome will include no change (individual remains at the same Activity of Daily Living (ADL)/Instrumental Activity of Daily Living (IADL) stage), functional improvement (recovery to a lower ADL/IADL stage), functional decline (deterioration to a higher stage of ADL/IADL limitation), institutionalization (long-term nursing home), or death. Comparison will be longitudinal prediction at 1, 2, and 3 years in contrast to no change according to each comparator.

Interventions

None listed

Sponsors

University of Pennsylvania
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
Yes

Inclusion criteria

* Second Life: People with disabilities - only those with disabilities from Second Life. * Second Life: People without disabilities - only those without disabilities from Second Life. * Second Life: clinicians - only clinicians from Second Life. * Urban: either those with or without disabilities

Exclusion criteria

* Second Life: People with disabilities - does not include those without disabilities or clinicians from Second Life. * Second Life: People without disabilities - does not include those with disabilities or clinicians from Second Life. * Second Life: clinicians - does not include those with or without disabilities from Second Life. * Urban: does not include clinicians

Design outcomes

Primary

MeasureTime frameDescription
Satisfaction With Medical Care SurveyOne yearMultinomial logistic regression models will be used to determine the degree to which people with disabilities and without have satisfaction with medical care obtained from the survey. The scale ranges from 1 (not satisfied) to 4 (very satisfied) with their medical care. Higher scores represent more satisfaction with medical care. Unit of measurement is units on a scale.

Countries

United States

Participant flow

Participants by arm

ArmCount
Second Life: People With Disabilities
People with disabilities recruited from the virtual world, Second life.
23
Second Life: People Without Disabilities
People without disabilities recruited from the virtual world, Second life.
10
Second Life: Clinicians
Clinicians recruited from the virtual world, Second life.
6
Urban Group
People with and without disabilities recruited from an Urban setting.
10
Total49

Baseline characteristics

CharacteristicSecond Life: People With DisabilitiesTotalUrban GroupSecond Life: CliniciansSecond Life: People Without Disabilities
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
8 Participants22 Participants7 Participants2 Participants5 Participants
Age, Categorical
Between 18 and 65 years
15 Participants27 Participants3 Participants4 Participants5 Participants
Age, Continuous43 Years
STANDARD_DEVIATION 8.2
59 Years
STANDARD_DEVIATION 5.9
68 Years
STANDARD_DEVIATION 7.9
56 Years
STANDARD_DEVIATION 2.7
45 Years
STANDARD_DEVIATION 6.3
Ethnicity (NIH/OMB)
Hispanic or Latino
2 Participants6 Participants2 Participants0 Participants2 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
21 Participants43 Participants8 Participants6 Participants8 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants0 Participants0 Participants
Number of people analyzed in each focus group23 Participants49 Participants10 Participants6 Participants10 Participants
Race (NIH/OMB)
American Indian or Alaska Native
1 Participants2 Participants0 Participants0 Participants1 Participants
Race (NIH/OMB)
Asian
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Black or African American
3 Participants11 Participants4 Participants0 Participants4 Participants
Race (NIH/OMB)
More than one race
5 Participants10 Participants2 Participants0 Participants3 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
14 Participants26 Participants4 Participants6 Participants2 Participants
Region of Enrollment
United States
23 participants49 participants10 participants6 participants10 participants
Sex: Female, Male
Female
20 Participants40 Participants8 Participants4 Participants8 Participants
Sex: Female, Male
Male
3 Participants9 Participants2 Participants2 Participants2 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
deaths
Total, all-cause mortality
0 / 230 / 100 / 60 / 10
other
Total, other adverse events
0 / 230 / 100 / 60 / 10
serious
Total, serious adverse events
0 / 230 / 100 / 60 / 10

Outcome results

Primary

Satisfaction With Medical Care Survey

Multinomial logistic regression models will be used to determine the degree to which people with disabilities and without have satisfaction with medical care obtained from the survey. The scale ranges from 1 (not satisfied) to 4 (very satisfied) with their medical care. Higher scores represent more satisfaction with medical care. Unit of measurement is units on a scale.

Time frame: One year

Population: Satisfaction with healthcare

ArmMeasureValue (MEAN)Dispersion
Second Life: People With DisabilitiesSatisfaction With Medical Care Survey3.4 units on a scaleStandard Deviation 1.2
Second Life: People Without DisabilitiesSatisfaction With Medical Care Survey3.8 units on a scaleStandard Deviation 1.7
Second Life: CliniciansSatisfaction With Medical Care Survey3.6 units on a scaleStandard Deviation 1.9
UrbanSatisfaction With Medical Care Survey3.0 units on a scaleStandard Deviation 2.9

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