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Objectives: To examine how unmet healthcare needs and the exposure to the pandemic impacted self-reported health (SRH) among individuals aged 50 and above., Methods: We use data from two waves of the Survey of Health, Ageing and Retirement in Europe (SHARE) Corona Survey collected in 2020 and 2021 in 27 European countries and Israel ( N = 42,854). Three dimensions of barriers to healthcare access were investigated: healthcare forgone, postponed, and denied. Mixed-effects logistic regression analysis was employed to explore SRH deterioration during the pandemic., Results: Findings indicate that unmet healthcare needs decreased throughout the pandemic but significantly contributed to the worsening of SRH among older adults. Mild or severe exposure to the pandemic heightened the likelihood of reporting deteriorated SRH. Additionally, the pandemic disproportionately affected females, the oldest-old, and those living alone or facing economic vulnerability., Conclusion: To mitigate the adverse effects on the health status of older adults, policymakers are strongly advised to prioritize addressing the healthcare needs of those who have been disproportionately affected by the pandemic., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2024 Smolić, Blaževski and Fabijančić.)

Background: Despite widespread efforts by many countries to reduce the prevalence of unmet healthcare needs within their populations, there remains a scarcity of research systematically exploring the components of these needs., Objectives: This study aims to deconstruct subjective unmet healthcare needs into two distinct components: the experience of subjective healthcare needs (the "Needs" component) and the experience of unmet needs contingent on those healthcare needs (the "Unmet" component)., Methods: This analysis utilizes data from 13,359 adults aged 19 or older, collected through the 2018 Korea Health Panel survey, with the aim of minimizing the influence of the coronavirus disease 19 pandemic. The two dependent variables are the experience of subjective healthcare needs and whether these needs have been met. The independent variables include 15 socio-demographic, health, and functional characteristics. The study employs both a population proportion analysis and a multivariable bivariate probit model with sample selection., Results: In South Korea, 11.6% (CI [confidence interval] = 11.0-12.3%) of the population experienced subjective unmet healthcare needs. Upon deconstructing these, 96.7% (CI = 96.2-97.1%) of the population exhibited the Needs component, and 12.0% (CI = 11.4-12.7%) displayed the Unmet component. Each independent variable showed different associations between the two components. Furthermore, effective interventions targeting the characteristics associated with each component could reduce the proportion of the population experiencing subjective unmet healthcare needs from 11.6 to 4.0%., Conclusion: South Korea faces a significant challenge due to the considerable prevalence of subjective unmet healthcare needs. To address this challenge effectively, the universal healthcare coverage system should adapt its approach based on the characteristics associated with both the Needs and Unmet components of subjective unmet healthcare needs. To achieve this goal, it is highly recommended that the government prioritize strengthening community-based primary healthcare, which currently suffers from insufficient resources., Competing Interests: The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Chung.)

Background: People with disabilities, who require numerous healthcare services, are vulnerable to unmet healthcare needs. This study aimed to investigate and identify the factors that influence unmet healthcare needs among people with disabilities and to compare these factors before and after the COVID-19 pandemic in South Korea., Methods: A propensity score matching analysis was conducted using two datasets from the National Survey of Disabled Persons collected in 2017 and 2020. The participants were matched based on variables known to influence healthcare utilization. Based on the Andersen model, logistic regression was performed to analyze the key characteristics of the factors associated with unmet healthcare needs, including predisposing, enabling, and need factors., Results: Propensity score matching resulted in the inclusion of 1,884 participants in each group: an experimental group and control group. Before COVID-19, factors associated with unmet healthcare needs included sex, age, marital status, and education level (predisposing factors), instrumental activities of daily living dependency, satisfaction with medical staff's understanding of disability, satisfaction with medical institutional facilities and equipment (enabling factors), subjective health status, and depressive symptoms (need factors). After COVID-19, factors included physical disability, instrumental activities of daily living dependency, and discrimination (enabling factors), and subjective health status, chronic diseases, depressive symptoms, and regular medical care (need factors). No significant predisposing factors affecting unmet healthcare needs were identified after COVID-19., Conclusions: This study compared the factors affecting unmet healthcare needs among people with disabilities before and after COVID-19. Recognizing the different factors associated with unmet healthcare needs before and after COVID-19, (e.g., sex, type of disability, satisfaction with medical staff's understanding of disabilities, medical institutional facilities and equipment considering the disabled, discrimination, chronic diseases, and regular medical care) may help governments and policymakers establish strategies to reduce and prevent unmet healthcare needs during and a future crisis., (© 2024. The Author(s).)

Progressive realization of universal health coverage (UHC) requires health systems capacity to provide quality service and financial risk protection which supports access to services without financial hardship. Government health spending in low-income countries (LICs) has been low and heavily relied on external donor resources and out-of-pocket payment. This has resulted in high prevalence of catastrophic health spending or foregone care by those who cannot afford. Under fiscal constraints posed by pandemic, reforms in LICs should focus on efficiency through health resource waste reduction. Targeting the poor even with low level of health spending can make a significant health gain. Investment in primary healthcare and health workforce is the foundation for realizing UHC which cannot be postponed. Innovative tax on health hazardous products, conditional debt relief can increase fiscal space for health; while international collaboration to accelerate coronavirus disease 2019 (COVID-19) vaccine coverage can bring LICs out of acute phase of pandemic., (© 2023 The Author(s); Published by Kerman University of Medical Sciences This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.)

Background: The COVID-19 pandemic disrupted access to healthcare services in Canada. Research prior to the pandemic has found that depression and anxiety symptoms were associated with increased unmet healthcare needs. The primary objective of this study was to examine if mental health was associated with perceived access to healthcare during the pandemic METHODS: A cross-sectional study was conducted using data from 23,972 participants (aged 50-96) in the Canadian Longitudinal Study on Aging COVID-19 Exit Survey (Sept-Dec 2020). We used logistic regression to estimate how the presence of depression and anxiety symptoms, defined using scores of ≥10 on the Center for Epidemiologic Studies Depression Scale and ≥10 on the Generalized Anxiety Disorder Scale, were associated with the odds of reporting: 1) challenges accessing healthcare, 2) not going to a hospital or seeing a doctor when needed, 3) experiencing barriers to COVID-19 testing. Models were adjusted for sex, age, region, urban/rural residence, racial background, immigrant status, income, marital status, work status, chronic conditions, and pre-pandemic unmet needs., Results: The presence of depressive (aOR=1.96; 95% CI=1.82, 2.11) and anxiety symptoms (aOR=2.33; 95% CI=2.04, 2.66) compared to the absence of these symptoms were independently associated with higher odds of challenges accessing healthcare. A statistically significant interaction with sex suggested stronger associations in females with anxiety. Symptoms of depression (aOR=2.88; 95% CI=2.58, 3.21) and anxiety (aOR=3.05; 95% CI=2.58, 3.60) were also associated with increased odds of not going to a hospital or seeing a doctor when needed. Lastly, depressive (aOR=1.99; 95% CI=1.71, 2.31) and anxiety symptoms (aOR=2.01; 95% CI=1.58, 2.56) were associated with higher odds of reporting barriers to COVID-19 testing. There was no significantly significant interaction with sex for the latter two outcomes., Conclusion: The presence of depression and anxiety symptoms were strongly associated with perceived unmet healthcare needs during the COVID-19 pandemic. Interventions to improve healthcare access for adults with depression and anxiety during the pandemic may be necessary., (© 2022. The Author(s).)

This study explores the determinants of unmet healthcare needs among older Europeans following the pandemic. Using data from the SHARE study involving 37,225 individuals aged 50 and above, we examine the barriers to healthcare access during the COVID-19 pandemic and the utilization of telemedicine. Approximately 15% of older adults reported unmet healthcare needs after the pandemic, while almost one in three utilized telemedicine during that period. Interestingly, those who used telehealth during the pandemic were more likely to report ongoing unmet healthcare needs. Persistent inequalities in healthcare access were observed for women, those living alone, individuals with financial challenges, and in poorer health. While telemedicine played an important role in enhancing healthcare access, its impact was limited, buffering only a part of unmet healthcare needs in the pandemic. Despite challenges in telemedicine adoption among older adults, it remains a promising tool for ensuring healthcare access in future emergencies. [ABSTRACT FROM AUTHOR]

Abstract Background People with disabilities, who require numerous healthcare services, are vulnerable to unmet healthcare needs. This study aimed to investigate and identify the factors that influence unmet healthcare needs among people with disabilities and to compare these factors before and after the COVID-19 pandemic in South Korea. Methods A propensity score matching analysis was conducted using two datasets from the National Survey of Disabled Persons collected in 2017 and 2020. The participants were matched based on variables known to influence healthcare utilization. Based on the Andersen model, logistic regression was performed to analyze the key characteristics of the factors associated with unmet healthcare needs, including predisposing, enabling, and need factors. Results Propensity score matching resulted in the inclusion of 1,884 participants in each group: an experimental group and control group. Before COVID-19, factors associated with unmet healthcare needs included sex, age, marital status, and education level (predisposing factors), instrumental activities of daily living dependency, satisfaction with medical staff’s understanding of disability, satisfaction with medical institutional facilities and equipment (enabling factors), subjective health status, and depressive symptoms (need factors). After COVID-19, factors included physical disability, instrumental activities of daily living dependency, and discrimination (enabling factors), and subjective health status, chronic diseases, depressive symptoms, and regular medical care (need factors). No significant predisposing factors affecting unmet healthcare needs were identified after COVID-19. Conclusions This study compared the factors affecting unmet healthcare needs among people with disabilities before and after COVID-19. Recognizing the different factors associated with unmet healthcare needs before and after COVID-19, (e.g., sex, type of disability, satisfaction with medical staff’s understanding of disabilities, medical institutional facilities and equipment considering the disabled, discrimination, chronic diseases, and regular medical care) may help governments and policymakers establish strategies to reduce and prevent unmet healthcare needs during and a future crisis.

Progressive realization of universal health coverage (UHC) requires health systems capacity to provide quality service and financial risk protection which supports access to services without financial hardship. Government health spending in low-income countries (LICs) has been low and heavily relied on external donor resources and out-ofpocket payment. This has resulted in high prevalence of catastrophic health spending or foregone care by those who cannot afford. Under fiscal constraints posed by pandemic, reforms in LICs should focus on efficiency through health resource waste reduction. Targeting the poor even with low level of health spending can make a significant health gain. Investment in primary healthcare and health workforce is the foundation for realizing UHC which cannot be postponed. Innovative tax on health hazardous products, conditional debt relief can increase fiscal space for health; while international collaboration to accelerate coronavirus disease 2019 (COVID-19) vaccine coverage can bring LICs out of acute phase of pandemic.

Background & aim: COVID-19 pandemic caused significant barriers to maintain health services. Our study determines the frequency and significant determinants of unmet health needs in Istanbul both in 2019, a pre-pandemic year, and in 2021, a pandemic year and compares the results COVID-19 era to a prior to pandemic year. Methods: As our study is the first questing Istanbul experience, we estimate the frequencies and determinants of unmet healthcare need among +15 population using TurkStat’s Income and Living Conditions Survey Data via Generalized Linear Models (GLMs). Results: We found that the most prominent barriers were late appointment dates and financial difficulty both before and during the pandemic. According to our findings, women and those having any chronic disease become significantly more likely to have unmet health needs during the pandemic compared to pre-pandemic period. Indeed, the ones belonging to the lowest income group and having lower level perceived health were disadvantaged with higher change of unmet needs both prior to and during the pandemic. Furthermore, the frequency of the Istanbulers who had unmet healthcare needs increased more than 1.5 time during the COVID-19 pandemic. Conclusions: As unmet healthcare needs due to COVID-19 jeopardizing the healthcare systems, it is important to comprehend the causes of unmet healthcare demands during infectious disease outbreaks in order to prioritize the right policies and protection strategies for the most vulnerable ones.

Background and Aims: The aim of this study was to assess unmet needs for health care and its determinants during COVID‐19 pandemic among pregnant women in Iran. Methods: This cross‐sectional study was performed among pregnant women in Kurdistan province in 2020 with a sample size of 800 people who were selected by multistage sampling method. Data were collected using a structured questionnaire that was completed through interviews. Also, multiple logistic regression was used to determine the relationship between independent variables and outcome variable. Statistical tests were performed using Stata software package. Results: The highest unmet needs for health care were related to dental services with 66%, rehabilitation services with 58.6%, and psychological services with 43.2% and the lowest were related to hospital services with 12%, midwifery services with 15.6%, and physician visit services with 39.1%. The most important reasons for unmet needs for health care were fear of getting COVID‐19 and the cost of the services. The variables of age group and spouse education for physician visit services; age group for midwifery services; age group, education and employment status for dental services; age group, supplementary insurance and economic status for rehabilitation services; and age group and economic status for psychological services were significantly associated with unmet needs for health care (p < 0.05). Conclusion: A significant percentage of health care needs of pregnant women was unmet, for which the fear of getting COVID‐19 and financial barriers were the main reasons. [ABSTRACT FROM AUTHOR]

Abstract Background and Aims The aim of this study was to assess unmet needs for health care and its determinants during COVID‐19 pandemic among pregnant women in Iran. Methods This cross‐sectional study was performed among pregnant women in Kurdistan province in 2020 with a sample size of 800 people who were selected by multistage sampling method. Data were collected using a structured questionnaire that was completed through interviews. Also, multiple logistic regression was used to determine the relationship between independent variables and outcome variable. Statistical tests were performed using Stata software package. Results The highest unmet needs for health care were related to dental services with 66%, rehabilitation services with 58.6%, and psychological services with 43.2% and the lowest were related to hospital services with 12%, midwifery services with 15.6%, and physician visit services with 39.1%. The most important reasons for unmet needs for health care were fear of getting COVID‐19 and the cost of the services. The variables of age group and spouse education for physician visit services; age group for midwifery services; age group, education and employment status for dental services; age group, supplementary insurance and economic status for rehabilitation services; and age group and economic status for psychological services were significantly associated with unmet needs for health care (p

Increasing difficulties in the use of healthcare services after the COVID-19 outbreak is a major concern as ensuring access to healthcare services is a primary health policy goal. The aim of this study was to examine the impacts of public perceptions regarding COVID-19 related public health measures on older adults’ experience of unmet healthcare needs in Korea. A total of 1961 participants from the Korea Health Care System Performance, over the age of 65, were included in the analyses. Three different logistic regression models were used to assess the impact of public perceptions – understanding, trust and satisfaction- regarding COVID-19 public health measures on unmet healthcare needs. Our results show that a poor understanding of public health measures was associated with higher odds of unmet healthcare needs among Korean older adults (OR:2.65, 95%CI: 1.79–3.94). However, trust and satisfaction of public health measures were not related to unmet healthcare needs. Our findings suggest that the importance of effective risk communication to facilitate better understand quarantine polices rather than emphasizing trust or satisfaction over public health measure.