Ethnic and Gender Based Admittance Patterns in the ICU

The dominating proportion of patients in the ICU are men. Studies indicate that men receive more mechanical ventilation, vasoactive drugs, renal replacement therapy, invasive monitoring and have longer length of stay in the ICU. These differences do not unambiguously translate into a survival benefit for men; if survival would be altered if women were admitted to ICU in the same extent is unknown. Factors affecting ICU admission include age, co-morbidities, physiological parameters (indicating severity of the acute illness) and, additionally, the number of available ICU beds. Factors that should not affect ICU admission include patient gender or ethnicity. This study aims at studying if bias against women and people of certain ethnicities exist. Do clinicians have differing thresholds for ICU admission due to non-medical reasons? The investigators propose testing this hypothesis using a blinded randomized factorial survey study.

Background Differing treatment of men and women in several fields of health care is receiving growing attention. This includes care of the critically ill, as awareness of intensive care has dramatically increased during the last years. Critically ill patients are treated in Intensive Care Units (ICU), one of the most expensive and advanced types of care. It is therefore essential that resources are adequately used so that the patient most in need is selected for intensive care, but also that no patient in need is left without. The dominating proportion of patients in the ICU are men. Studies indicate that men receive more mechanical ventilation, vasoactive drugs, renal replacement therapy, invasive monitoring and have longer length of stay in the ICU. It has also been shown that women and men with severe sepsis receive differential care in the emergency department. These differences do not unambiguously translate into a survival benefit for men; studies show conflicting results. One could only speculate if survival figures would be altered if women were admitted to ICU in the same extent. Sex is a biological variable that affects the immune system and changes throughout life. It is proposed that sex hormones have an impact on how the severity of an illness progresses, where female sex hormones are suggested to have a protective effect. This could partly explain male dominance in the ICU. There is no clear evidence that care given in the ICU should be tailored after the sex of the patient. Then again, there is no clear evidence that the medical care should not be tailored after the sex of the patient. Differing care provided to men and women is therefore controversial. If differences exist, it must be ruled out that it is caused by gender bias, unintentional or not. As discussed in a recently published Guidance on Reporting of Race and Ethnicity in Medical and Science Journals, Ethnicity are social constructs, without scientific or biological meaning. However, studies including ethnicity may be useful to improve understanding and knowledge of disparities and inequities in health care. Three decades ago, US Department of Health and Human Services published a report on Black and minority health, highlighting ethnic differences. (S Department of Health and Human Services. Report of the Secretary's Task Force on Black and Minority Health. 1985. https://collections.nlm.nih.gov/catalog/nlm:nlmuid-8602912-mvset). Whilst recent studies show reductions in racial and ethnic differences in self-reported health status and health care access and affordability, variances persist. During the COVID-19 pandemic it has become apparent that differences in progression to severe disease exist. In a cohort study using the OpenSAFELY platform in England, including more than 17 million adults, some minority ethnic populations had increased risk of severe COVID-19 as compared with the White population, also after taking other factors of importance into account. Specific aims When admitting patients to our ICUs, do clinicians discriminate against certain ethnicities? Are thresholds for admitting men lower than for women? The investigators hypothesize that differing ICU admission thresholds exist, due to non-medical reasons. Method The investigators propose testing this hypothesis using a blinded randomized factorial survey study. This survey will consist of multiple iterations of eight separate cases, describing a patient in the ward or in the emergency room that may need ICU admission. Co-morbid data, age, physiological parameters will be described followed by a YES/NO: would you admit this patient to your ICU, considering a "normal" ICU situation in your hospital. A count-down timer for each case will ensure that the YES/NO response comes quickly, and whilst a paper case can never mimic a real clinical situation, making fast decisions is a part of how intensivists work. The factors affecting ICU admission are usually considered to be age, co-morbidities, physiological parameters (indicating severity of the acute illness) and, additionally, the number of available ICU beds. Factors that should not affect ICU admission include patient gender or ethnicity. In order to test if gender and/or ethnicity affects ICU admission the survey will be randomized in several ways. Essentially, multiple different versions of the survey will exist. We will tweak the age and number of co-morbid conditions described. It is likely, but not certain, that higher patient age and more co-morbid conditions will be associated will lower admission rates. The same association is expected during a theoretical pandemic situation, with strained resources. Unbeknown to the respondents, the cases will be randomized to describe a man or a woman. Thus, the cases can be in the order of Male, Female, M, F or reversed: F,M,F,M and so on. In one of the eight cases, the name of the patient will be a non-typical national name. To make this generalizable and overall successful, the investigators think it is paramount to have the survey translated to French, German, Spanish and to make it simple to answer. Preferably the survey should take less than 10 minutes to complete. Moreover, sending emails, through the national organizations, might improve generalizability. Using a survey link, for instance via twitter, could create a selection bias in who chooses to click on such a link. (This research group has done this before, so it can be done. Luckily for this project, it is not a widely cited study. https://www.nature.com/articles/s41598-019-50836-3 )