Evidence map›Paper›PMID 39135628›Full record

ArticleClinicoEconomics and outcomes research : CEOR2024

Healthcare Resource Use and Costs Among Individuals with Vitiligo and Psychosocial Comorbidities: Retrospective Analysis of an Insured US Population.

Jennifer H Lofland, Samyuktha Darbha, Ahmad B Naim, David Rosmarin

Abstract read
In one paragraph

Article in ClinicoEconomics and outcomes research : CEOR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jennifer H LoflandUS Medical Affairs, Incyte Corporation, Wilmington, DE, USA.ORCID 0000-0002-1015-3823
Samyuktha DarbhaHealth Economics and Outcomes Research, Datawave Solutions Corp, Cranbury, NJ, USA.
Ahmad B NaimUS Medical Affairs, Incyte Corporation, Wilmington, DE, USA.
David RosmarinDepartment of Dermatology, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID 0000-0003-2786-0708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to describe healthcare resource utilization and costs among individuals with vitiligo who were diagnosed with ≥1 psychosocial comorbidity, using data from US claims databases. Patients and Methods: A retrospective, observational cohort analysis of the IBM MarketScan Commercial and Medicare supplemental claims databases for US individuals with vitiligo aged ≥12 years and a first vitiligo claim between January 1 and December 31, 2018, was undertaken to assess psychosocial burden, including mental and behavioral health comorbidities. Results: Of the 12,427 individuals included in the analysis, nearly 1 in 4 (23.5%) who had vitiligo were also diagnosed with ≥1 psychosocial comorbidity. A greater percentage of these individuals versus those who were not diagnosed with a psychosocial comorbidity had a vitiligo-related prescription claim (50.2% vs 45.4%; Conclusion: Individuals with vitiligo who were diagnosed with ≥1 psychosocial comorbidity incurred greater total all-cause but not vitiligo-related healthcare resource utilization and expenditures than those without diagnosis of psychosocial comorbidities. Identification of psychosocial comorbidities in individuals with vitiligo may be important for multidisciplinary management of vitiligo to reduce overall burden for individuals with vitiligo.

Indexed as

behavioral healthHCRUhealthcare costshealthcare resource utilizationmental healthvitiligo

Identifiers

PMID39135628
PMCPMC11318603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.