2019
DOI: 10.7196/samj.2019.v109i9.13678
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Factors influencing decisions to admit or refuse patients entry to a South African tertiary intensive care unit

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Cited by 14 publications
(20 citation statements)
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“…In contrast to other published South African data, the refusal rate of 17.9% in this study is low [26] . It is comparable to studies from developed countries which had refusal rates between 17 and 38% 9.…”
Section: Discussioncontrasting
confidence: 99%
See 1 more Smart Citation
“…In contrast to other published South African data, the refusal rate of 17.9% in this study is low [26] . It is comparable to studies from developed countries which had refusal rates between 17 and 38% 9.…”
Section: Discussioncontrasting
confidence: 99%
“…An early study from a large tertiary centre in Johannesburg also showed a high ICU admission rate from trauma-related conditions [25] . The high admission rate for medical conditions is in contrast to recently published data from KZN, where patients from internal medicine were twice as likely to be refused in comparison to surgical patients [26] . This may be due to a bias in accepting surgical patients in primarily surgical ICUs compared to the ICU in this study, which caters for a mix of surgical and medical patients.…”
Section: Discussioncontrasting
confidence: 77%
“…Furthermore, none of the studies above have been performed in sub-Saharan Africa. With our combined burden of sepsis, trauma, HIV, tuberculosis and malnutrition, there are many unknowns with respect to serum albumin in the critically ill. [12][13][14][15][16] It is unclear what the prevalence is of hypoalbuminaemia, what the kinetics are of albumin in our setting, and what association (if any) exists between serum albumin levels and ICU outcome. In a setting with endemic malnutrition and chronic diseases such as HIV and tuberculosis, does serum albumin have the same association with outcome as in other settings, and even if so, are our thresholds potentially different?…”
mentioning
confidence: 96%
“…17 However, evidence from the UK and South Africa suggests that although these scores are used, other contextual factors also affect decisions for ICU referral and admission, and this is probably the case everywhere. [18][19][20] The ICU model that is supported by expensive equipment, high-quality laboratory support and highly trained staff in high-income countries may not apply to lowincome countries where there are not enough human and material resources. 21 Nonetheless, the high burden of critical illness and demand for ICU beds in lowincome countries demands evidence-based, ethical and transparent decision-making tools for selecting which patients are admitted to ICU.…”
Section: Strengths and Limitations Of This Studymentioning
confidence: 99%