Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
BackgroundAccess to healthcare services for the population with long COVID is a challenge, as healthcare systems have been tasked with responding effectively to the extensive clinical heterogeneity of this disease.ObjectiveTo analyze the factors associated with access to health services among people with long COVID in the Brazilian Amazon.MethodsThis is a cross-sectional study using a quantitative method, conducted through an online survey between May 2023 and January 2024. The study included participants aged 18 years or older, residing in the northern region of Brazil, with a confirmed diagnosis of COVID-19 and who experienced long COVID. Participants completed an adapted version of the questionnaire on the Research Electronic Data Capture platform. Data were analyzed by multiple logistic regression.ResultsA total of 364 people with long COVID participated in the study, of which only 167 (45.88%) had access to healthcare to treat the symptoms of this clinical condition. In the final multiple logistic regression model, only factors related to the need for services were associated with healthcare access. Participants with symptoms of dermatological alterations (AOR = 2.57; p = 0.01), a pre-COVID-19 diagnosis of chronic disease (AOR = 5.62; p = 0.04), those who treated their most severe COVID-19 infection with the assistance of a healthcare professional (AOR = 4.97; p = 0.01), and those who used antibiotics during their most severe COVID-19 infection (AOR = 3.24; p = 0.01) were more likely to access healthcare services for treating long COVID.ConclusionFactors related to the need for services were the only ones associated in this population. It is important to know these aspects to identify the most affected populations and propose measures.
BackgroundAccess to healthcare services for the population with long COVID is a challenge, as healthcare systems have been tasked with responding effectively to the extensive clinical heterogeneity of this disease.ObjectiveTo analyze the factors associated with access to health services among people with long COVID in the Brazilian Amazon.MethodsThis is a cross-sectional study using a quantitative method, conducted through an online survey between May 2023 and January 2024. The study included participants aged 18 years or older, residing in the northern region of Brazil, with a confirmed diagnosis of COVID-19 and who experienced long COVID. Participants completed an adapted version of the questionnaire on the Research Electronic Data Capture platform. Data were analyzed by multiple logistic regression.ResultsA total of 364 people with long COVID participated in the study, of which only 167 (45.88%) had access to healthcare to treat the symptoms of this clinical condition. In the final multiple logistic regression model, only factors related to the need for services were associated with healthcare access. Participants with symptoms of dermatological alterations (AOR = 2.57; p = 0.01), a pre-COVID-19 diagnosis of chronic disease (AOR = 5.62; p = 0.04), those who treated their most severe COVID-19 infection with the assistance of a healthcare professional (AOR = 4.97; p = 0.01), and those who used antibiotics during their most severe COVID-19 infection (AOR = 3.24; p = 0.01) were more likely to access healthcare services for treating long COVID.ConclusionFactors related to the need for services were the only ones associated in this population. It is important to know these aspects to identify the most affected populations and propose measures.
The persistence of symptoms for more than three months following infection with severe acute respiratory syndrome coronavirus 2 is referred to as “Long COVID”. To gain a deeper understanding of the etiology and long-term progression of symptoms, this study aims to analyze the prevalence of Long COVID and its associated factors in a cohort of Brazilian adults and elders, twelve months after hospital discharge. An observational, prospective, and follow-up study was performed with a cohort of adults and older adults diagnosed with COVID-19 in 2020 in the State of Paraná, Brazil. Twelve months after hospital discharge, patients answered a phone questionnaire about the persistence of symptoms after three levels of exposure to COVID-19’s acute phase (ambulatory, medical ward, and intensive care unit). According to the characteristics of participants, the prevalence of Long COVID-19 was calculated, and logistic regression analyses were conducted. We analyzed data from 1822 participants (980 adults [≥18–<60 years] and 842 older people [≥60 years]) across three exposure levels. The overall Long COVID prevalence was 64.2%. Long COVID was observed in 646 adults (55%; of which 326 were women) and 523 older people (45%; of which 284 were women). Females had a higher prevalence of long-term symptoms (52%) compared with men. The most common post-COVID-19 conditions in the 12-month follow-up were neurological (49.8%), followed by musculoskeletal (35.1%) and persistent respiratory symptoms (26.5%). Male individuals were less likely to develop Long COVID (aOR = 0.50). Other determinants were also considered risky, such as the presence of comorbidities (aOR = 1.41). Being an adult and having been hospitalized was associated with the development of Long COVID. The risk of developing Long COVID was twice as high for ward patients (aOR = 2.53) and three times as high for ICU patients (aOR = 3.56) when compared to non-hospitalized patients. Presenting clinical manifestations of digestive (aOR = 1.56), endocrine (aOR = 2.14), cutaneous (aOR = 2.51), musculoskeletal (aOR = 2.76) and psychological systems (aOR = 1.66) made adults more likely to develop Long COVID. Long COVID was present in a large proportion of people affected by the SARS-CoV-2 infection. Presence of Long COVID symptoms displayed a dose–response relationship with the level of disease exposure, with a greater prevalence of symptoms associated with the severe form in the acute period.
Background/Objectives: Evidence suggests that older adults who survived COVID-19 were exposed to greater functional dependence in their daily living activities. This study aims to examine the prevalence of functional dependence and associated factors among Brazilian older people with functional dependence 12 months after COVID-19 infection. Methods: A cross-sectional study was carried out involving people aged 60 years or older in the state of Paraná, Brazil. One year after notification or hospital discharge due to COVID-19, between June 2021 and March 2022, participants responded to a questionnaire via telephone call about sociodemographic data and data on functionality using the Measure of Functional Independence (FIM). The outcome variable “assessment of functional capacity” was divided into functional dependence (FIM Total < 104) and functional independence (FIM Total ≥ 104). Results: A total of 768 older adults participated, with an average age of 68.03 ± 6.8 years (range between 60 and 100). A majority of them were female (50.3%), white (46%), with low education (37.4%), had a partner (56.3%), did not live alone (72.4%), and had their own home (52.2%). The prevalence of functional dependence was 7.2%. On average, participants scored 5.4 points lower on FIM one year after COVID-19 infection compared with those in the acute phase of COVID-19 (125.5 vs. 120.1; p < 0.001). Functional dependence was higher (p < 0.05) among women when compared to men (aOR = 2.28); in people who changed their work situation due to COVID-19 when compared to those with no change (aOR = 5.27); in people with fair/poor/bad self-reported health compared to those with excellent/good health (aOR = 2.97); in people with cardiovascular symptoms compared to those without cardiovascular symptoms (aOR = 3.37); and among the most severe cases of the disease (treatment in ICU) compared to mild cases (outpatient treatment) (aOR = 10.5). Conclusions: Most participants presented functional independence 12 months after COVID-19 infection. Cases of functional dependence were influenced by multidimensional factors, including physical health, economic, and psychosocial aspects.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.