Tag: inequities

Using Data Science and a Health Equity Lens to Identify Long-COVID Sequelae Among Medically Underserved Populations

Abstract:

Understanding how post-acute COVID-19 syndrome (PACS or long COVID) manifests among underserved populations, who experienced a disproportionate burden of acute COVID-19, can help providers and policymakers better address this ongoing crisis. To identify clinical sequelae of long COVID among underserved populations treated in the primary care safety net, we conducted a causal impact analysis with electronic health records (EHR) to compare symptoms among community health center patients who tested positive (n=4,091) and negative (n=7,118) for acute COVID-19.

We found 18 sequelae with statistical significance and causal dependence among patients who had a visit after 60 days or more following acute COVID-19. These sequelae encompass most organ systems and include breathing abnormalities, malaise and fatigue, and headache. This study adds to current knowledge about how long COVID manifests in a large, underserved population.

Source: Nasir M, Cook N, Parras D, Mukherjee S, Miller G, Ferres JL, Chung-Bridges K. Using Data Science and a Health Equity Lens to Identify Long-COVID Sequelae Among Medically Underserved Populations. J Health Care Poor Underserved. 2023;34(2):521-534. doi: 10.1353/hpu.2023.0047. PMID: 37464515. https://pubmed.ncbi.nlm.nih.gov/37464515/

Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom

Abstract:

Objectives: To estimate the risk of Long COVID by socioeconomic deprivation and to further examine the inequality by sex and occupation.

Design: We conducted a retrospective population-based cohort study using data from the ONS COVID-19 Infection Survey between 26 April 2020 and 31 January 2022. This is the largest nationally representative survey of COVID-19 in the UK with longitudinal data on occupation, COVID-19 exposure and Long COVID.

Setting: Community-based survey in the UK.

Participants: A total of 201,799 participants aged 16 to 64 years and with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.

Main outcome measures: The risk of Long COVID at least 4 weeks after SARS-CoV-2 infection by index of multiple deprivation (IMD) and the modifying effects of socioeconomic deprivation by sex and occupation.

Results: Nearly 10% (n = 19,315) of participants reported having Long COVID. Multivariable logistic regression models, adjusted for a range of variables (demographic, co-morbidity and time), showed that participants in the most deprived decile had a higher risk of Long COVID (11.4% vs. 8.2%; adjusted odds ratio (aOR): 1.46; 95% confidence interval (CI): 1.34, 1.59) compared to the least deprived decile. Significantly higher inequalities (most vs. least deprived decile) in Long COVID existed in healthcare and patient-facing roles (aOR: 1.76; 95% CI: 1.27, 2.44), in the education sector (aOR: 1.68; 95% CI: 1.31, 2.16) and in women (aOR: 1.56; 95% CI: 1.40, 1.73) than men (aOR: 1.32; 95% CI: 1.15, 1.51).

Conclusions: This study provides insights into the heterogeneous degree of inequality in Long COVID by deprivation, sex and occupation. These findings will help inform public health policies and interventions in incorporating a social justice and health inequality lens.

Source: Shabnam S, Razieh C, Dambha-Miller H, Yates T, Gillies C, Chudasama YV, Pareek M, Banerjee A, Kawachi I, Lacey B, Morris EJ, White M, Zaccardi F, Khunti K, Islam N. Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom. J R Soc Med. 2023 May 10:1410768231168377. doi: 10.1177/01410768231168377. Epub ahead of print. PMID: 37164035. https://journals.sagepub.com/doi/10.1177/01410768231168377 (Full text)

Long Covid: conceptualizing the challenges for public health

Abstract:

Background: Long Covid has caused significant disruption to public services, economies and population health worldwide, but no single public health approach has proven effective in its management. This essay was the winning entry for the Faculty of Public Health’s Sir John Brotherston Prize 2022.

Methods: In this essay, I synthesize existing literature on public health policy in long Covid, and discuss the challenges and opportunities posed by long Covid for the public health profession. The utility of specialist clinics and community care, in the UK and internationally, is examined, as well as key outstanding issues relating to evidence generation, health inequality and defining long Covid. I then use this information to inform a simple conceptual model.

Results: The generated conceptual model integrates community- and population-level interventions; key areas of identified policy need at both levels include ensuring equitable access to long Covid care, developing screening programmes for high-risk populations, co-production of research and clinical services with patients, and using interventions to generate evidence.

Conclusions: Significant challenges remain in the management of long Covid from a public health policy perspective. Multidisciplinary community-level and population-level interventions should be employed with a view to achieving an equitable and scalable model of care.

Source: Prashar J. Long Covid: conceptualizing the challenges for public health. J Public Health (Oxf). 2023 May 2:fdac153. doi: 10.1093/pubmed/fdac153. Epub ahead of print. PMID: 37132023. https://academic.oup.com/jpubhealth/advance-article/doi/10.1093/pubmed/fdac153/7147865 (Full text)

Long covid and medical gaslighting: Dismissal, delayed diagnosis, and deferred treatment

Abstract:

While we know a lot more about Long Covid today, patients who were infected with Covid-19 early on in the pandemic and developed Long Covid had to contend with medical professionals who lacked awareness of the potential for extended complications from Covid-19. Long Covid patients have responded by labeling their contentious interactions with medical professionals, organizations, and the broader medical system as “gaslighting.” We argue that the charge of medical gaslighting can be understood as a form of ontological politics. Not only do patients demand that their version of reality be recognized, but they also blame the experts who hold gatekeeping power over their medical care for producing a distorted version of said reality.

By analyzing results from an online survey of Long Covid patients active on social media in the United States (n ​= ​334), we find that experiences of contention and their reframing as “gaslighting” were common amongst our respondents. In short answer responses about their experience obtaining medical care for Long Covid, our respondents described encountering medical professionals who dismissed their experience, leading to lengthy diagnostic odysseys and lack of treatment options for Long Covid. Even though we are limited by characteristics of our sample, there is good reason to believe that these experiences and their contentious reframing as medical gaslighting are exacerbated by gender, class, and racial inequalities.

Source: Au L, Capotescu C, Eyal G, Finestone G. Long covid and medical gaslighting: Dismissal, delayed diagnosis, and deferred treatment. SSM Qual Res Health. 2022 Sep 7;2:100167. doi: 10.1016/j.ssmqr.2022.100167. Epub ahead of print. PMID: 36092770; PMCID: PMC9448633.  https://www.sciencedirect.com/science/article/pii/S2667321522001299 (Full text)

The prevalence of SARS-CoV-2 infection and long COVID in US adults during the BA.5 surge, June-July 2022

Abstract:

Due to changes in SARS-CoV-2 testing practices, passive case-based surveillance may be an increasingly unreliable indicator for monitoring the burden of SARS-CoV-2, especially during surges. We conducted a cross-sectional survey of a population-representative sample of 3,042 U.S. adults between June 30 and July 2, 2022, during the Omicron BA.5 surge. Respondents were asked about SARS-CoV-2 testing and outcomes, COVID-like symptoms, contact with cases, and experience with prolonged COVID-19 symptoms following prior infection.

We estimated the weighted age and sex-standardized SARS-CoV-2 prevalence, during the 14-day period preceding the interview. We estimated age and gender adjusted prevalence ratios (aPR) for current SARS-CoV-2 infection using a log-binomial regression model.

An estimated 17.3% (95% CI 14.9, 19.8) of respondents had SARS-CoV-2 infection during the two-week study period, equating to 44 million cases as compared to 1.8 million per the CDC during the same time period. SARS-CoV-2 prevalence was higher among those 18-24 years old (aPR 2.2, 95% CI 1.8, 2.7) and among non-Hispanic Black (aPR 1.7, 95% CI 1.4 ,2.2) and Hispanic (aPR 2.4, 95% CI 2.0 , 2.9). SARS-CoV-2 prevalence was also higher among those with lower income (aPR 1.9, 95% CI 1.5, 2.3), lower education (aPR 3.7 95% CI 3.0,4.7), and those with comorbidities (aPR 1.6, 95% CI 1.4, 2.0). An estimated 21.5% (95% CI 18.2, 24.7) of respondents with a SARS-CoV-2 infection more than 4 weeks prior reported long COVID symptoms.

The inequitable distribution of SARS-CoV-2 prevalence during the BA.5 surge will likely drive inequities in the future burden of long COVID.

Source: Saba Qasmieh, McKaylee Robertson, Chloe A Teasdale, Sarah Kulkarni, Heidi E Jones, Margaret McNairy, Luisa N Borrell, Denis Nash. The prevalence of SARS-CoV-2 infection and long COVID in US adults during the BA.5 surge, June-July 2022. medRxiv 2022.09.04.22279588; doi: https://doi.org/10.1101/2022.09.04.22279588 (Full text available as PDF file)