Dataset Information

Smart triage: Development of a rapid pediatric triage algorithm for use in low-and-middle income countries.

ABSTRACT:

Introduction

Early and accurate recognition of children at risk of progressing to critical illness could contribute to improved patient outcomes and resource allocation. In resource limited settings digital triage tools can support decision making and improve healthcare delivery. We developed a model for rapid identification of critically ill children at triage.

Methods

This was a prospective cohort study of acutely ill children presenting at Jinja Regional Referral Hospital in Eastern Uganda. Variables collected in the emergency department informed the development of a logistic model based on hospital admission using bootstrap stepwise regression. Low and high-risk thresholds for 90% minimum sensitivity and specificity, respectively generated three risk level categories. Performance was assessed using receiver operating characteristic curve analysis on a held-out test set generated by an 80:20 split with 10-fold cross validation. A risk stratification table informed clinical interpretation.

Results

The model derivation cohort included 1,612 participants, with an admission rate of approximately 23%. The majority of admitted patients were under five years old and presenting with sepsis, malaria, or pneumonia. A 9-predictor triage model was derived: logit (p) = -32.888 + (0.252, square root of age) + (0.016, heart rate) + (0.819, temperature) + (-0.022, mid-upper arm circumference) + (0.048 transformed oxygen saturation) + (1.793, parent concern) + (1.012, difficulty breathing) + (1.814, oedema) + (1.506, pallor). The model afforded good discrimination, calibration, and risk stratification at the selected thresholds of 8% and 40%.

Conclusion

In a low income, pediatric population, we developed a nine variable triage model with high sensitivity and specificity to predict who should be admitted. The triage model can be integrated into any digital platform and used with minimal training to guide rapid identification of critically ill children at first contact. External validation and clinical implementation are in progress.

SUBMITTER: Mawji A

PROVIDER: S-EPMC9723221 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Smart triage: Development of a rapid pediatric triage algorithm for use in low-and-middle income countries.

Mawji Alishah A Li Edmond E Dunsmuir Dustin D Komugisha Clare C Novakowski Stefanie K SK Wiens Matthew O MO Vesuvius Tagoola Abner TA Kissoon Niranjan N Ansermino J Mark JM

Frontiers in pediatrics 20221122

<h4>Introduction</h4>Early and accurate recognition of children at risk of progressing to critical illness could contribute to improved patient outcomes and resource allocation. In resource limited settings digital triage tools can support decision making and improve healthcare delivery. We developed a model for rapid identification of critically ill children at triage.<h4>Methods</h4>This was a prospective cohort study of acutely ill children presenting at Jinja Regional Referral Hospital in Ea ...[more]

PMID: 36483471

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Project description:Effective identification and prognostication of severe COVID-19 patients presenting to healthcare facilities are essential to reducing morbidity and mortality. Low- and middle-income country (LMIC) facilities often suffer from restrictions in availability of human resources, laboratory testing, medications, and imaging during routine functioning, and such shortages may worsen during times of surge. Low- and middle-income country healthcare providers will need contextually appropriate tools to identify and triage potential COVID-19 patients. We report on a series of LMIC-appropriate recommendations and suggestions for screening and triage of COVID-19 patients in LMICs, based on a pragmatic, experience-based appraisal of existing literature. We recommend that all patients be screened upon first contact with the healthcare system using a locally approved questionnaire to identify individuals who have suspected or confirmed COVID-19. We suggest that primary screening tools used to identify individuals who have suspected or confirmed COVID-19 include a broad range of signs and symptoms based on standard case definitions of COVID-19 disease. We recommend that screening include endemic febrile illness per routine protocols upon presentation to a healthcare facility. We recommend that, following screening and implementation of appropriate universal source control measures, suspected COVID-19 patients be triaged with a triage tool appropriate for the setting. We recommend a standardized severity score based on the WHO COVID-19 disease definitions be assigned to all suspected and confirmed COVID-19 patients before their disposition from the emergency unit. We suggest against using diagnostic imaging to improve triage of reverse transcriptase (RT)-PCR-confirmed COVID-19 patients, unless a patient has worsening respiratory status. We suggest against the use of point-of-care lung ultrasound to improve triage of RT-PCR-confirmed COVID-19 patients. We suggest the use of diagnostic imaging to improve sensitivity of appropriate triage in suspected COVID-19 patients who are RT-PCR negative but have moderate to severe symptoms and are suspected of a false-negative RT-PCR with high risk of disease progression. We suggest the use of diagnostic imaging to improve sensitivity of appropriate triage in suspected COVID-19 patients with moderate or severe clinical features who are without access to RT-PCR testing for SARS-CoV-2.

Project description:ImportanceEndorsement of global humanitarian interventions is based on either proven cost-effectiveness or perceived public health benefits. The cost-effectiveness and long-term benefits of global humanitarian pediatric cardiac surgery are unknown, and funding for this intervention is insufficient.ObjectivesTo determine the cost-effectiveness of the intervention (multiple 2-week-long humanitarian pediatric cardiac surgery program assistance trips to various low- and middle-income countries [LMICs]) and to produce a measure of the long-lasting effects of global humanitarian programs.Design, setting, and participantsInternational, multicenter cost-effectiveness analysis of a cohort of children (aged <16 years) undergoing surgical treatment of congenital heart disease during 2015 in LMICs, including China, Macedonia, Honduras, Iran, Iraq, Libya, Nigeria, Pakistan, Russia, and Ukraine. The study also assessed estimated improvement in the United Nations Human Development Indicators (life expectancy, years of schooling, and gross national income) for each individual survivor, as a proxy for long-term benefits of the intervention.Main outcomes and measuresThe primary outcome was cost-effectiveness of the intervention. The secondary outcomes were potential gains in life expectancy, years of schooling, and gross national income per capita for each survivor.ResultsDuring 2015, 446 patients (192 [43%] female; mean [SD] age, 3.7 [5.4] years) were served in 10 LMICs at an overall cost of $3 210 873. Of them, 424 were children. The cost-effectiveness of the intervention was $171 per disability-adjusted life-year averted. Each survivor in the cohort (390 of 424) potentially gained 39.9 disability-adjusted life-years averted, 3.5 years of schooling, and $159 533 in gross national income per capita during his or her extended lifetime at purchasing power parity and 3% discounting.Conclusions and relevanceHumanitarian pediatric cardiac surgery in LMICs is highly cost-effective. It also leaves behind a lasting humanitarian footprint by potentially improving individual development indices.

Dataset Information

Smart triage: Development of a rapid pediatric triage algorithm for use in low-and-middle income countries.

Introduction

Methods

Results

Conclusion

Publications

Smart triage: Development of a rapid pediatric triage algorithm for use in low-and-middle income countries.

Similar Datasets

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