Evidence map›Paper›PMID 42787109›Full record

ArticleFrontiers in public health2026

Duration of health insurance coverage gaps and subsequent cost-related barriers to care among adults aged 18-64 years with multimorbidity.

Yongwen Cao, Zhendong Liu, Minmin Jiang, Tingting Ge, Lu Zhang, Yixi Liu, Xiuxia Li

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yongwen CaoSchool of Public Health, Lanzhou University, Lanzhou, China.
Zhendong LiuGansu University of Chinese Medicine, Lanzhou, China.
Minmin JiangGansu Provincial Hospital, Lanzhou, China.
Tingting GeGansu Provincial Maternal and Child Health Hospital (Gansu Central Hospital), Lanzhou, China.
Lu ZhangGansu Provincial Maternal and Child Health Hospital (Gansu Central Hospital), Lanzhou, China.
Yixi LiuGansu Provincial Maternal and Child Health Hospital (Gansu Central Hospital), Lanzhou, China.
Xiuxia LiSchool of Public Health, Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To examine whether health insurance coverage-gap duration predicts subsequent cost-related barriers to care among working-age adults with multimorbidity. Methods: We pooled Medical Expenditure Panel Survey Panels 23 and 24, identifying 1,694 adults aged 18-64 years with at least two of nine chronic physical condition groups at baseline. Uninsured months during Years 1-2 were categorized as 0, 1-5, 6-23, or 24. The outcome was any cost-related delay in or inability to obtain medical care or prescription medicines during Years 3-4. Survey-weighted logistic regression accounted for weights, strata, primary sampling units, domain analysis, and Taylor-series linearization. Sensitivity analyses examined categorical age, insurance-source patterns, and cancer exclusion. Constant 2022 US-dollar expenditures were summarized using weighted medians and interquartile ranges and analyzed using two-part models with survey-aware jackknife confidence intervals for standardized means. Results: Among 1,694 participants, 379 experienced the outcome. Compared with no gap, adjusted odds ratios were 1.61 (95% CI, 0.94-2.77) for 1-5 uninsured months, 2.06 (95% CI, 1.17-3.63) for 6-23 months, and 3.44 (95% CI, 1.84-6.44) for 24 months; adjusted probabilities were 17.4, 24.8, 29.3, and 39.8%, respectively. Findings were robust to categorical age adjustment and cancer exclusion. Only continuous uninsurance was significantly associated with the outcome relative to continuous private coverage. For continuous uninsurance versus no gap, weighted median total expenditures were $1,235 versus $9,378, and median out-of-pocket expenditures were $464 versus $944. Adjusted total expenditures were lower ($4,884 vs. $26,134; ratio, 0.19; Conclusion: Longer coverage gaps were associated with greater subsequent cost-related barriers. Lower total spending without significantly lower out-of-pocket spending among continuously uninsured adults suggests foregone or reduced care rather than improved financial protection.

Indexed as

Health Services AccessibilityInsurance CoverageInsurance, HealthMedically UninsuredMultimorbidityAdolescentAdultFemaleHealth ExpendituresHumansMaleMiddle AgedTime FactorsUnited StatesYoung Adultaccess to carehealth insurancemultimorbiditypublic healthuninsurance

Identifiers

PMID42787109
PMCPMC13600860

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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.