Effectiveness of introducing pulse oximetry and clinical decision support algorithms for the management of sick children in primary care in Kenya and Senegal on referral and antibiotic prescription: the TIMCI quasi-experimental pre-post study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background Acute illnesses are leading causes of death among children under-five, who often receive antibiotics unnecessarily, contributing to antimicrobial resistance. Pulse oximetry and digital Clinical Decision Support Algorithms (CDSAs) can strengthen the detection and management of severe childhood illnesses, and support antibiotic stewardship in primary care, but lack evidence for scale-up. This study sought to understand the real-world impact of these tools on urgent referrals and antibiotic prescription for children under-five. Methods A quasi-experimental pre-post study of the implementation of pulse oximetry and CDSAs for healthcare providers (HCPs) managing sick children at primary care level was conducted in Kenya and Senegal. Sick children 0–59 months attending study facilities were eligible. Trained research assistants collected data from caregivers and facility records on Day 0, with a follow-up phone call at Day 7. Providers were advised to use pulse oximetry for all sick children in Kenya, and in Senegal for all 1–59 days, and for 2–59 months with cough or difficulty breathing, or a moderate to severe illness. Urgent referral was recommended for SpO 2 <90% in Kenya and SpO 2 <92% in Senegal. Primary outcomes were antibiotic prescription and urgent referral rates at Day 0. They were assessed using generalised estimating equations for logistic regression. Results were estimated in terms of odds ratios and risk differences (RDs), adjusted where computable. The study is registered with clinicaltrials.gov (NCT05065320). Findings A total of 50,580 sick children (1–59 days: 979 pre, 1748 post; 2–59 months: 16,782 pre, 31,071 post) were enrolled from September 13, 2021 to February 8, 2023 in Kenya and August 16, 2021 to March 31, 2023 in Senegal. In the pre-intervention period, urgent referrals were rare (0.6% in 1–59 days; 0.4% in 2–59 months), while antibiotic prescriptions were common (53.9% in 1–59 days; 74.9% in 2–59 months). Intervention uptake was 75% in Kenya and 40% in Senegal where a protracted HCP strike affected the intervention. The prevalence of SpO 2 values prompting an urgent referral recommendation was 1.3% in 1–59 days and 0.8% in 2–59 months, but few of them resulted in actual referrals (26.1% in 1–59 days; 11.4% in 2–59 months). There was no change in overall urgent referrals (RD 0.2% [−0.5%, 0.9%] in 1–59 days; adjusted RD 0.2% [−0.2%, 0.5%] in 2–59 months). Antibiotic prescription rate was reduced by 14.6% [8.7%, 20.6%] in 1–59 days and by 22.6% [18.3%, 26.9%] in 2–59 months in the post-intervention period while caregiver-reported recovery rates at Day 7 remained stable. Interpretation When implemented in routine health systems at primary care level in Kenya and Senegal, pulse oximetry and CDSAs were not found to be associated with an increase in urgent referrals but likely mediated antibiotic prescription reductions. The absence of referral increase may stem from limited severe illness detection due to low hypoxaemia prevalence and barriers to referral, also affected in Senegal by a protracted post-intervention HCP strike. Strengthening the referral system and implementing broader antibiotic stewardship strategies are likely to be needed to improve the effectiveness of the intervention and its impact on child health outcomes. Funding Unitaid grant n°2019-35-TIMCI: Tools for Integrated Management of Childhood Illness.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it