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Inequities in Health Service Needs Among Older Adults During Covid-19

A Gender-Stratified Analysis Using Longitudinal SHARE Data

Bibliographic Data

ID13775247
AuthorsAija Bukova-Žideļūna (0000-0003-3527-8021, Riga Stradins University, Latvia, corresponding author), Anda Ķīvīte‐Urtāne (0000-0001-6362-1187, Riga Stradiņš University), Anda Kivite-Urtane (Riga Stradins University, Latvia), L Springe (0000-0001-7681-9184, Riga Stradiņš University), Ilze Priedīte (Riga Stradins University, Latvia), Diāna Baltmane (Riga Stradins University, Latvia), Šime Smolić (0000-0003-0920-8046, University of Zagreb, Croatia)
Year2025
Volume62
Pages469580251371425-469580251371425
Publication date2025-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueINQUIRY The Journal of Health Care Organization Provision and Financing (JOURNAL)
Journal identifiersISSN: 0046-9580 • E-ISSN: 1945-7243
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/00469580251371425
PMID40923944
OpenAlexW4414082686
LanguageEN
References cited28

This study examined sociodemographic and health-related determinants of self-reported unmet health service needs to better understand the factors contributing to inequities among adults aged 50 and older during the COVID-19 pandemic in Latvia. Data from the longitudinal SHARE study-Corona Surveys 1 and 2, and Wave 8-were analysed using logistic regression. A total of 647 cases from Latvia (62.9% women) were included, with a mean age of 68.6 years (±9.6). During the pandemic, 29.5% of adults aged 50 and older encountered barriers to accessing healthcare services. Gender-stratified analysis revealed that older adults from urban areas, men with higher education, and women with chronic conditions and activity limitations were at significantly higher risk of experiencing unmet health service needs. The study reveals significant disparities in health service needs among older adults in Latvia during the COVID-19 pandemic, emphasising the need for targeted interventions to reduce inequalities and improve access for vulnerable populations in public health crises

Health care · Health equity · Inequality · Logistic regression · Longitudinal study · Pandemic · Psychological intervention · Public health · Service (business · COVID-19 and healthcare impacts · Employment and Welfare Studies · Health disparities and outcomes

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Citation velocityhistorical
Highly citedNo
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