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Investigating Healthcare Disparities in Vitiligo

Healthcare Disparities in Vitiligo: a Population-based Cohort Study in the UK

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06097494
Enrollment
39374
Registered
2023-10-24
Start date
2023-07-20
Completion date
2024-07-17
Last updated
2025-03-17

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

Conditions

Vitiligo

Brief summary

Vitiligo is an acquired, non contagious skin disorder characterised by depigmented patches of skin that may appear in a localised or very generalised distribution, and affecting 0.5-2.0% of the global population.There are however, limited population-based studies on the burden of vitiligo and disparities across people of different ethnicities and deprivation. The overall purpose of this study is to provide an estimate of the lifetime risk of vitiligo in the population overall and by sociodemographic subgroups. Moreover, to do a subgroup analysis in the vitiligo population to identify health-related disparities across people in different sex, age, deprivation and ethnicity. A detailed understanding of the burden of disease in different sociodemographic groups is vital to plan resource provision.

Detailed description

This study will provide estimate of the cumulative lifetime risk of vitiligo in the population overall, and by important sociodemographic groups, including age, sex, ethnicity and deprivation, which will prevalent key data to show the relative burden of vitiligo across the aforementioned groups. These approaches allow creation of cumulative lifetime risk plots which provide an excellent and accessible way to display the relative disease burden across groups. The cumulative lifetime risk of vitiligo will be estimated at age 80 years (approximate lifetime expectancy in the UK) using survival models, with age as the timescale and accounting for competing risk of death. This study will also perform a subgroup analysis in the vitiligo population to identify health-related disparities across people in different deprivation, sex and ethnic groups. The disparities that will be considered are: Mental health conditions; healthcare utilisation; and work impact (time off work and unemployment), The assessment of any associations with baseline characteristics and the outcome of interest will be used using Cox proportional hazards models (time to event outcomes) and generalised linear models.

Interventions

OTHERNo intervention

Observational analysis of usual care only.

Sponsors

Pfizer
CollaboratorINDUSTRY
Momentum Data
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
No minimum to 95 Years

Inclusion criteria

* The cohort for the endpoint analysis will consist of all adults and adolescents (aged 13+) contributing to OPCRD during the study period (2004-2020). * The cohort for the lifetime risk analysis will consist of all people contributing to OPCRD during the study period. * The vitiligo cohort consists of people newly diagnosed with vitiligo at any point during the study period.

Exclusion criteria

* People with the alternative non-vitiligo diagnoses (other hypopigmenting conditions). * People with vitiligo diagnosis within 6 months of practice registration. * People without vitiligo with less than 1 year of follow up within the dataset. * People over the age of 95 (for those reaching age 95 during the follow up period follow up was censored at age 95). * People who have opted out of record sharing.

Design outcomes

Primary

MeasureTime frameDescription
Risk of Depression Within Patients With Vitiligo2 yearsAdjusted odds ratio calculated using logistic regression.
Risk of Anxiety Within Patients With Vitiligo2 yearsAdjusted odds ratio calculated using logistic regression.
Risk of Depression or Anxiety Within Patients With Vitiligo2 yearsAdjusted odds ratio of depression or anxiety in people with vitiligo calculated using logistic regression .

Secondary

MeasureTime frameDescription
Unemployment2 yearsDescribe any disparities in work-related impact (unemployment) reported as adjusted hazard ratios.
Primary Care Encounters2 yearsDescribe any disparities in primary care usage (primary care visits) reported as adjusted incidence rate ratios
Sleep Disturbance2 yearsDescribe any disparities in sleep disturbance reported as adjusted hazard ratios.
Time Off Work2 yearsDescribe any disparities in work-related impact (time off work) reported as adjusted hazard ratios.
Dermatology Referrals2 yearsPercentage of participants diagnosed with vitligo and having a recorded dermatology referral event wthin two year estimated using using the Kaplan-Meier method.
Mental Health Referrals2 yearsDescribe any disparities in healthcare utilisation ( mental health referrals) reported as adjusted hazard ratios

Countries

United Kingdom

Participant flow

Recruitment details

All adults and children (aged ≥ 13 years) contributing to the Optimum Patient Care Research Database (OPCRD) between 1 January 2004 and 31 December 2020, without a diagnosis of vitiligo prior to1 January 2004 were eligible for inclusion.

Pre-assignment details

Participants with a diagnosis for an alternative depigmenting disorder or were diagnosed with vitiligo within 6 months of registering with their general practice (GP) were excluded.

Participants by arm

ArmCount
People With Vitiligo
Children (≥ 13 years) and adults with new onset Vitiligo registered with Optimum Patient Care Research Database during the study period. No intervention: Observational analysis of usual care only.
7,890
People Without Vitiligo
Children (≥ 13 years) and adults without Vitiligo registered with Optimum Patient Care Research Database during the study period No intervention: Observational analysis of usual care only.
31,484
Total39,374

Baseline characteristics

CharacteristicPeople Without VitiligoPeople With VitiligoTotal
Age, Continuous42 years43 years42.5 years
Age, Customized
13-17 years
1915 Participants487 Participants2402 Participants
Age, Customized
18-29 years
5471 Participants1370 Participants6841 Participants
Age, Customized
30-49 years
12242 Participants3063 Participants15305 Participants
Age, Customized
50+ years
11856 Participants2970 Participants14826 Participants
Alcohol consumption, Categorical
Harmful
463 Participants121 Participants584 Participants
Alcohol consumption, Categorical
In excess of limits
3685 Participants1005 Participants4690 Participants
Alcohol consumption, Categorical
None
10014 Participants2605 Participants12619 Participants
Alcohol consumption, Categorical
Not recorded
5946 Participants1246 Participants7192 Participants
Alcohol consumption, Categorical
Within limits
11376 Participants2913 Participants14289 Participants
Body Mass Index, Categorical
18.5-25 (normal weight)
8504 Participants2324 Participants10828 Participants
Body Mass Index, Categorical
< 18.5 (underweight)
1054 Participants269 Participants1323 Participants
Body Mass Index, Categorical
25-30 (overweight)
8938 Participants2386 Participants11324 Participants
Body Mass Index, Categorical
30-35 (class I obesity)
4410 Participants1137 Participants5547 Participants
Body Mass Index, Categorical
35-40 (class II obesity)
1654 Participants372 Participants2026 Participants
Body Mass Index, Categorical
> 40 (class III obesity)
940 Participants214 Participants1154 Participants
Body Mass Index, Categorical
Not recorded
5984 Participants1188 Participants7172 Participants
Index of Multiple Deprivation
1 (most deprived)
6094 Participants1525 Participants7619 Participants
Index of Multiple Deprivation
2
5545 Participants1392 Participants6937 Participants
Index of Multiple Deprivation
3
5418 Participants1355 Participants6773 Participants
Index of Multiple Deprivation
4
6084 Participants1527 Participants7611 Participants
Index of Multiple Deprivation
5 (least deprived)
5928 Participants1484 Participants7412 Participants
Index of Multiple Deprivation
Not recorded
2415 Participants607 Participants3022 Participants
Race/Ethnicity, Customized
Asian
4775 Participants1197 Participants5972 Participants
Race/Ethnicity, Customized
Black
708 Participants196 Participants904 Participants
Race/Ethnicity, Customized
Mixed
332 Participants80 Participants412 Participants
Race/Ethnicity, Customized
Not recorded
9555 Participants2392 Participants11947 Participants
Race/Ethnicity, Customized
Other
1220 Participants299 Participants1519 Participants
Race/Ethnicity, Customized
White
14894 Participants3726 Participants18620 Participants
Sex: Female, Male
Female
16492 Participants4131 Participants20623 Participants
Sex: Female, Male
Male
14992 Participants3759 Participants18751 Participants
Smoking status, Categorical
Current smoker
6114 Participants1229 Participants7343 Participants
Smoking status, Categorical
Ex-smoker
13435 Participants3642 Participants17077 Participants
Smoking status, Categorical
Never smoked
10000 Participants2709 Participants12709 Participants
Smoking status, Categorical
Not recorded
1935 Participants310 Participants2245 Participants

Adverse events

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

Outcome results

Primary

Risk of Anxiety Within Patients With Vitiligo

Adjusted odds ratio calculated using logistic regression.

Time frame: 2 years

ArmMeasureValue (NUMBER)
People With VitiligoRisk of Anxiety Within Patients With Vitiligo708 Events
People Without VitiligoRisk of Anxiety Within Patients With Vitiligo2430 Events
95% CI: [1.09, 1.3]
Primary

Risk of Depression or Anxiety Within Patients With Vitiligo

Adjusted odds ratio of depression or anxiety in people with vitiligo calculated using logistic regression .

Time frame: 2 years

ArmMeasureValue (NUMBER)
People With VitiligoRisk of Depression or Anxiety Within Patients With Vitiligo1614 Events
People Without VitiligoRisk of Depression or Anxiety Within Patients With Vitiligo6064 Events
95% CI: [1.03, 1.17]
Primary

Risk of Depression Within Patients With Vitiligo

Adjusted odds ratio calculated using logistic regression.

Time frame: 2 years

ArmMeasureValue (NUMBER)
People With VitiligoRisk of Depression Within Patients With Vitiligo1412 Events
People Without VitiligoRisk of Depression Within Patients With Vitiligo5395 Events
95% CI: [1.01, 1.15]
Secondary

Dermatology Referrals

Percentage of participants diagnosed with vitligo and having a recorded dermatology referral event wthin two year estimated using using the Kaplan-Meier method.

Time frame: 2 years

Population: Dermatology referrals were assessed only in patients with vitiligo

ArmMeasureValue (NUMBER)
People With VitiligoDermatology Referrals20 percentage of participants analyzed
Secondary

Mental Health Referrals

Describe any disparities in healthcare utilisation ( mental health referrals) reported as adjusted hazard ratios

Time frame: 2 years

ArmMeasureValue (NUMBER)
People With VitiligoMental Health Referrals311 Events
People Without VitiligoMental Health Referrals1191 Events
95% CI: [0.93, 1.2]
Secondary

Primary Care Encounters

Describe any disparities in primary care usage (primary care visits) reported as adjusted incidence rate ratios

Time frame: 2 years

ArmMeasureValue (NUMBER)
People With VitiligoPrimary Care Encounters134207 Events
People Without VitiligoPrimary Care Encounters439633 Events
95% CI: [1.26, 1.32]
Secondary

Sleep Disturbance

Describe any disparities in sleep disturbance reported as adjusted hazard ratios.

Time frame: 2 years

ArmMeasureValue (NUMBER)
People With VitiligoSleep Disturbance318 Events
People Without VitiligoSleep Disturbance1102 Events
95% CI: [1.02, 1.31]
Secondary

Time Off Work

Describe any disparities in work-related impact (time off work) reported as adjusted hazard ratios.

Time frame: 2 years

Population: Subset of participants of working age

ArmMeasureValue (NUMBER)
People With VitiligoTime Off Work746 Events
People Without VitiligoTime Off Work2472 Events
95% CI: [1.06, 1.24]
Secondary

Unemployment

Describe any disparities in work-related impact (unemployment) reported as adjusted hazard ratios.

Time frame: 2 years

Population: Subset of participants of working age

ArmMeasureValue (NUMBER)
People With VitiligoUnemployment111 Events
People Without VitiligoUnemployment436 Events
95% CI: [0.76, 1.15]

Source: ClinicalTrials.gov · Data processed: Feb 6, 2026