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Health-related biological and non-biological consequences of forgoing healthcare for economic reasons.

ABSTRACT: Forgoing healthcare for economic reasons has been previously associated with adverse health outcomes, including a higher risk of hospitalization, a lower quality of life, and worse self-reported health. However, the exact cause-to-effect relation between forgoing healthcare and health-related outcomes has been insufficiently described. Here, we investigate the prospective health consequences of forgoing healthcare for economic reasons using data from "ReBus" (N = 400), a prospective study examining the health consequences of forgoing healthcare (Baseline: 2008-2013, Follow-up: 2014-2016). Using regression models, we explored the baseline determinants of forgoing healthcare, including socioeconomic, demographic, and pre-existing health-risk factors, and examined the associations between forgoing healthcare at baseline and health deterioration at follow-up, using highly pertinent biomarkers (glucose, glycated hemoglobin, lipids, blood pressure) and SF-36 questionnaire data. Low income, low occupation, low education, and smoking were associated with higher odds of forgoing healthcare at baseline. Forgoing healthcare for economic reasons at baseline was subsequently related to detrimental changes in glucose, high-density lipoprotein cholesterol (HDL), and blood pressure (BP) at follow-up, independently of baseline socioeconomic factors (Glucose-β = 0.19, 95%CI[0.03;0.34], HDL-β = -0.07, 95%CI[-0.14;0.01], BP-β = 3.30, 95%CI[-0.01;6.60]). Moreover, we found strong associations between forgoing healthcare and adverse SF-36 health scores at follow-up, with individuals forgoing healthcare systematically displaying worse health scores (6%-11% lower scores). For the first time, we show that forgoing healthcare for economic reasons predicts adverse health-related consequences 2-8 years later. Our findings shall further encourage the implementation of public health measures aimed at identifying individuals who forgo healthcare and preventing the adverse health consequences of unmet medical needs.

SUBMITTER: Petrovic D

PROVIDER: S-EPMC8683898 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundGrowing social inequities have made it important for general practitioners to verify if patients can afford treatment and procedures. Incorporating social conditions into clinical decision-making allows general practitioners to address mismatches between patients' health-care needs and financial resources.ObjectivesIdentify a screening question to, indirectly, rule out patients' social risk of forgoing health care for economic reasons, and estimate prevalence of forgoing health care and the influence of physicians' attitudes toward deprivation.DesignMulticenter cross-sectional survey.ParticipantsForty-seven general practitioners working in the French-speaking part of Switzerland enrolled a random sample of patients attending their private practices.Main measuresPatients who had forgone health care were defined as those reporting a household member (including themselves) having forgone treatment for economic reasons during the previous 12 months, through a self-administered questionnaire. Patients were also asked about education and income levels, self-perceived social position, and deprivation levels.Key resultsOverall, 2,026 patients were included in the analysis; 10.7% (CI95% 9.4-12.1) reported a member of their household to have forgone health care during the 12 previous months. The question "Did you have difficulties paying your household bills during the last 12 months" performed better in identifying patients at risk of forgoing health care than a combination of four objective measures of socio-economic status (gender, age, education level, and income) (R(2) = 0.184 vs. 0.083). This question effectively ruled out that patients had forgone health care, with a negative predictive value of 96%. Furthermore, for physicians who felt powerless in the face of deprivation, we observed an increase in the odds of patients forgoing health care of 1.5 times.ConclusionGeneral practitioners should systematically evaluate the socio-economic status of their patients. Asking patients whether they experience any difficulties in paying their bills is an effective means of identifying patients who might forgo health care.

Project description:BackgroundIn Italy, the number of individuals who have forgone medical examinations or treatments for economic reasons is one of the highest in Europe. During the global economic crisis of 2008, the restrictive policies concerning access to healthcare and the quality of these services, which differs widely throughout the country, may have accentuated the territorial differences in unmet needs, thereby penalizing the more disadvantaged segments of the population. The study aimed at evaluating the geographical and socioeconomic differences, in particular the risk of poverty, that influence forgoing healthcare services in Italy.MethodsCross-sectional Italian data from the 2004-2015 European Survey on Income and Living Conditions (EU-SILC) were used. Hierarchical logistic models were tested, using as the outcome unmet needs for medical examinations or treatment in the preceding 12 months, and as risk factor the condition of being at risk of poverty. Age, sex, citizenship, educational level, presence of chronic or severely limiting diseases and self-perceived health were used as adjustment factors. Analyses were stratified over three time periods: pre-crisis (2004-2007), initial phase of the crisis (2008-2012) and second phase of the crisis (2013-2015).ResultsIn Central Italy and particularly in Southern Italy, a marked increase (9.9% in 2013-2015) was seen in the overall rate of unmet needs as well as in that of unmet needs due to economic reasons. The probability of unmet needs was higher, and increased over time, for those at risk of poverty (aOR = 1.54 in 2004-07, aOR = 1.70 in 2008-12, aOR = 2.21 in 2013-15). Individuals with a low educational level, who had a chronic or severely limiting disease, who perceived their health as not good and immigrants had a higher risk of forgoing healthcare. The regions in Southern Italy had a significantly higher probability of unmet needs.ConclusionsA strong association was found between the probability of forgoing medical examination or treatment and being at risk of poverty. Study results underline the need for healthcare policies aimed at facilitating access to healthcare services, particularly in the South, by developing a progressive mechanism of contribution to healthcare costs proportional to income and by guaranteeing free access to the poor.

Project description:Routine childhood vaccination is declining in some regions of the United States due to vaccine hesitancy, which risks the resurgence of many infectious diseases with public health and economic consequences. There are ongoing policy debates on the state and national level, including legislation around nonmedical (personal-belief) exemptions for childhood vaccination and possibly a special government commission on vaccine safety, which may affect vaccine coverage.To estimate the number of measles cases in US children and the associated economic costs under scenarios of different levels of vaccine hesitancy, using the case example of measles, mumps, and rubella (MMR) vaccination and measles.Publicly available data from the US Centers for Disease Control and Prevention were used to simulate county-level MMR vaccination coverage in children (age 2-11 years) in the United States. A stochastic mathematical model was adapted for infectious disease transmission that estimated a distribution for outbreak size as it relates to vaccine coverage. Economic costs per measles case were obtained from the literature. The predicted effects of increasing the prevalence of vaccine hesitancy as well as the removal of nonmedical exemptions were estimated. The model was calibrated to annual measles cases in US children over recent years, and the model prediction was validated using an independent data set from England and Wales.Annual measles cases in the United States and the associated public sector costs.A 5% decline in MMR vaccine coverage in the United States would result in an estimated 3-fold increase in measles cases for children aged 2 to 11 years nationally every year, with an additional $2.1 million in public sector costs. The numbers would be substantially higher if unvaccinated infants, adolescents, and adult populations were also considered. There was variation around these estimates due to the stochastic elements of measles importation and sensitivity of some model inputs, although the trend was robust.This analysis predicts that even minor reductions in childhood vaccination, driven by vaccine hesitancy (nonmedical and personal belief exemptions), will have substantial public health and economic consequences. The results support an urgent need to address vaccine hesitancy in policy dialogues at the state and national level, with consideration of removing personal belief exemptions of childhood vaccination.

Project description:The COVID-19 pandemic has resulted in a growing number of patients experiencing persistent symptoms and physiological changes after recovering from acute SARS-CoV-2 infection, known as Long COVID. Long COVID is characterized by recurring symptoms and inflammation across multiple organ systems. Diagnosis can be challenging, influenced by factors like demographics, comorbidities, and immune responses. Long COVID impacts various organ systems and can have neuropsychological effects. Health disparities, particularly related to race, contribute to a higher burden of infection and ongoing symptoms in minority populations. Managing Long COVID entails addressing a spectrum of symptoms that encompass physical, cognitive, and psychological aspects. The recovery period for patients with Long COVID can vary significantly, influenced by factors like the severity of the disease, hospitalization, comorbidities, and age. Currently, there are no universally effective treatments, although certain interventions show promise, necessitating further research. Self-management and rehabilitation programs can provide relief, but more research is needed to establish their effectiveness. Preventive measures such as vaccination and the use of antiviral medications and metformin. It is imperative to conduct further research to develop evidence-based guidelines and gain a better understanding of the long-term implications of COVID-19. Long COVID could have substantial economic impact on the labor market, productivity, healthcare expenditures, and overall economic growth. To address the challenges patients with long-term complications face, there is a focus on strategies like promoting telework and flexible work arrangements to accommodate diverse symptoms, particularly chronic fatigue and other Long COVID effects. In conclusion, this review emphasizes the multifaceted complexity of Long COVID and the ongoing need to address its potential long-term health and economic impacts.

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Health-related biological and non-biological consequences of forgoing healthcare for economic reasons.

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