Prevalence and factors associated with healthcare avoidance during the COVID-19 pandemic among the Sámi in Sweden: the SámiHET study.

The aim of this population-based cross-sectional study was to assess the prevalence of healthcare avoidance during the COVID-19 pandemic and its associated factors among the Sámi population in Sweden. Data from the "Sámi Health on Equal Terms" (SámiHET) survey conducted in 2021 were used. Overall, 3,658 individuals constituted the analytical sample. Analysis was framed using the social determinants of health framework. The association between healthcare avoidance and several sociodemographic, material, and cultural factors was explored through log-binomial regression analyses. Sampling weights were applied in all analyses. Thirty percent of the Sámi in Sweden avoided healthcare during the COVID-19 pandemic. Sámi women (PR: 1.52, 95% CI: 1.36-1.70), young adults (PR: 1.22, 95% CI:1.05-1.47), Sámi living outside Sápmi (PR: 1.17, 95% CI: 1.03-1.34), and those having low income (PR: 1.42, 95% CI:1.19-1.68) and experiencing economic stress (PR: 1.48, 95% CI: 1.31-1.67) had a higher prevalence of healthcare avoidance. The pattern shown in this study can be useful for planning future pandemic responses, which should address healthcare avoidance, particularly among the identified vulnerable groups, including the active participation of the Sámi themselves.

Healthcare Avoidance before and during the COVID-19 Pandemic among Australian Youth: A Longitudinal Study.

BACKGROUND: Access to healthcare for young people is essential to ensure they can build a foundation for a healthy life. However, during the COVID-19 pandemic, many people avoided seeking healthcare, adversely affecting population health. We investigated the factors associated with the avoidance of healthcare for Australian young people when they reported that they needed healthcare. We were able to compare healthcare avoidance during the COVID-19 pandemic with healthcare avoidance prior to COVID-19. METHODS: We used two recent data collection waves from the Longitudinal Study of Australian Children (LSAC)-Wave 9C1 during the COVID-19 pandemic in 2020, and Wave 8 data which were collected in 2018. The primary outcome of this study revealed the avoidance of healthcare among those who perceived the need for care. Bivariate analyses and multiple logistic regression models were employed to identify the factors associated with the avoidance of healthcare during the COVID-19 and pre-COVID-19 periods. RESULTS: In the sample of 1110 young people, 39.6% avoided healthcare during the first year of the COVID-19 pandemic even though they perceived that they had a health problem that required healthcare. This healthcare avoidance was similar to the healthcare avoidance in the pre-COVID-19 pandemic period (41.4%). The factors most strongly associated with healthcare avoidance during the COVID-19 pandemic were female gender, an ongoing medical condition, and moderately high psychological distress. In comparison, prior to the pandemic, the factor associated with healthcare avoidance was only psychological distress. The most common reason for not seeking healthcare was thinking that the problem would spontaneously resolve itself (55.9% during COVID-19 vs. 35.7% pre-COVID-19 pandemic). CONCLUSIONS: A large proportion of youths avoided healthcare when they felt they needed to seek care, both during and before the COVID-19 pandemic.

Avoidance of primary healthcare among transgender and non-binary people in Canada during the COVID-19 pandemic.

Transgender (trans) and non-binary people experience barriers to culturally competent healthcare and many have reported avoiding care. COVID-19 and related mitigation strategies may have exacerbated avoidance, and poor mental health may be bidirectionally related to avoiding care. This study estimated the prevalence of primary care avoidance during the pandemic in a national sample of trans and non-binary people in Canada with a primary care provider and examined the association between poorer self-rated mental health and avoidance. In Fall 2019, Trans PULSE Canada collected multi-mode survey data from trans and non-binary people. In September to October 2020, 820 participants completed a COVID-19-focused survey. In this cross-sectional analysis, multivariable logistic regression models estimated odds ratios adjusted for confounders and weighted to the 2019 sample. The analysis included 689 individuals with a primary healthcare provider, of whom 61.2% (95% CI: 57.2, 65.2) reported fair or poor mental health and 25.7% (95% CI: 22.3, 29.2) reported care avoidance during the pandemic. The most common reason for avoidance was having a non-urgent health concern (72.7%, 95% CI: 65.9, 79.5). In adjusted analyses, those with fair or poor mental health had higher odds of avoiding primary care as compared to those with good to excellent mental health (adjusted odds ratio [AOR] = 2.37; 95% CI: 1.50, 3.77). This relationship was similar when excluding COVID-related reasons for avoidance (AOR = 2.52; 95% CI: 1.52, 4.17). Expansion of virtual communication may enhance primary care accessibility, and proactively assessing mental health symptoms may facilitate connections to gender-affirming mental health services.

Factors Associated with the Patient's Decision to Avoid Healthcare during the COVID-19 Pandemic.

The COVID-19 pandemic has resulted in changes in healthcare use. This study aimed to identify factors associated with a patient's decision to avoid and/or delay healthcare during the COVID-19 pandemic. We used data from a community-based survey in Portugal from July 2020 to August 2021, "COVID-19 Barometer: Social Opinion", which included data regarding health services use, risk perception and confidence in health services. We framed our analysis under Andersen's Behavioural Model of Health Services Use and utilised Poisson regression to identify healthcare avoidance associated factors. Healthcare avoidance was high (44%). Higher prevalence of healthcare avoidance was found among women; participants who reported lower confidence in the healthcare system response to COVID-19 and non-COVID-19; lost income during the pandemic; experienced negative emotions due to physical distancing measures; answered the questionnaire before middle June 2021; and perceived having worse health, the measures implemented by the Government as inadequate, the information conveyed as unclear and confusing, a higher risk of getting COVID-19, a higher risk of complications and a higher risk of getting infected in a health institution. It is crucial to reassure the population that health services are safe. Health services should plan their recovery since delays in healthcare delivery can lead to increased or worsening morbidity, yielding economic and societal costs.