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1.
BMJ Open ; 11(9): e046130, 2021 09 15.
Article in English | MEDLINE | ID: mdl-34526332

ABSTRACT

OBJECTIVES: Purposefully designed and validated screening, triage, and severity scoring tools are needed to reduce mortality of COVID-19 in low-resource settings (LRS). This review aimed to identify currently proposed and/or implemented methods of screening, triaging, and severity scoring of patients with suspected COVID-19 on initial presentation to the healthcare system and to evaluate the utility of these tools in LRS. DESIGN: A scoping review was conducted to identify studies describing acute screening, triage, and severity scoring of patients with suspected COVID-19 published between 12 December 2019 and 1 April 2021. Extracted information included clinical features, use of laboratory and imaging studies, and relevant tool validation data. PARTICIPANT: The initial search strategy yielded 15 232 articles; 124 met inclusion criteria. RESULTS: Most studies were from China (n=41, 33.1%) or the United States (n=23, 18.5%). In total, 57 screening, 23 triage, and 54 severity scoring tools were described. A total of 51 tools-31 screening, 5 triage, and 15 severity scoring-were identified as feasible for use in LRS. A total of 37 studies provided validation data: 4 prospective and 33 retrospective, with none from low-income and lower middle-income countries. CONCLUSIONS: This study identified a number of screening, triage, and severity scoring tools implemented and proposed for patients with suspected COVID-19. No tools were specifically designed and validated in LRS. Tools specific to resource limited contexts is crucial to reducing mortality in the current pandemic.


Subject(s)
COVID-19 , Triage , Humans , Prospective Studies , Retrospective Studies , SARS-CoV-2
2.
BMJ Open ; 10(1): e033643, 2020 01 20.
Article in English | MEDLINE | ID: mdl-31964675

ABSTRACT

OBJECTIVE: Emergency care is a key component of healthcare systems, but little is known about its real impact on communities. This study evaluated access, utilisation and barriers to healthcare, and specifically emergency care, in the low socioeconomic Cape Town suburb of Lavender Hill. DESIGN: A cross-sectional, community-based household survey. SETTING: Lavender Hill suburb in the Cape Flats of Cape Town, South Africa. PARTICIPANTS: Two-stage cluster sampling was used to identify approximately 13 households in each of 46 clusters, for a total of 608 households. A senior householder responded on behalf of each household surveyed. PRIMARY OUTCOME MEASURES: Access to, utilisation of and unmet needs related to healthcare at large and emergency care. RESULTS: In August 2018, 608 households were surveyed, encompassing 2754 individuals, with a response rate of 96.4%. Almost a quarter of respondents (n=663, 24.1%) used the healthcare system within the last year. Female gender, advancing age, lower levels of education, recipients of disability grants, smaller household sizes and living in formal dwellings were factors associated with increased risk of unmet healthcare and emergency care needs. Only a small proportion of respondents (n=39, 1.4%) reported having unmet emergency healthcare needs, with wait times at facilities (n=9, 23.1%), emergency medical service delays (n=7, 17.9%) and personal safety (n=6, 15.4%) being prominent. There was a high prevalence of chronic medical conditions (hypertension, diabetes and dyslipidaemias) and recent deaths predominantly from trauma and malignancy. CONCLUSION: The emergency healthcare needs of the community appear to be well catered for, although community expectations may not be high and many barriers exist, particularly in accessing emergency care-be it via ambulance services or at healthcare facilities-and caring for chronic diseases in the ageing population. The Lavender Hill community could benefit from programmes addressing chronic disease management and emergency care delivery within the community.


Subject(s)
Aging , Emergency Service, Hospital/organization & administration , Health Services Accessibility/statistics & numerical data , Health Services Needs and Demand/statistics & numerical data , Population Surveillance/methods , Adolescent , Adult , Aged , Child , Child, Preschool , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , South Africa , Young Adult
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