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Record W3118723338 · doi:10.1002/hsr2.284

Effectiveness of peer‐supervision on pediatric fever illness treatment among registered private drug sellers in <scp>East‐Central</scp> Uganda: An interrupted time series analysis

2021· article· en· W3118723338 on OpenAlexfundno aff
Arthur Bagonza, Freddy Eric Kitutu, Stefan Peterson, Andreas Mårtensson, Milton Mutto, Phyllis Awor, David Mukanga, Henry Wamani

Bibliographic record

VenueHealth Science Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsnot available
FundersUppsala UniversitetNottingham Trent UniversityErasmus+Trent UniversityUNICEF
KeywordsMedicineBloodyMalariaDiarrheaPneumoniaPediatricsUnder-fiveBloody diarrheaIntervention (counseling)Internal medicineSurgeryImmunologyNursing

Abstract

fetched live from OpenAlex

Abstract Rationale, aims, and objectives Appropriate treatment of pediatric fever in rural areas remains a challenge and maybe partly due to inadequate supervision of licensed drug sellers. This study assessed the effectiveness of peer‐supervision among drug sellers on the appropriate treatment of pneumonia symptoms, uncomplicated malaria, and non‐bloody diarrhea among children less than 5 years of age in the intervention (Luuka) and comparison (Buyende) districts, in East‐Central Uganda. Methods Data on pneumonia symptoms, uncomplicated malaria, and non‐bloody diarrhea among children less than 5 years of age was abstracted from drug shop sick child registers over a 12‐month period; 6 months before and 6 months after the introduction of peer‐supervision. Interrupted time series were applied to determine the effectiveness of the peer‐supervision intervention on the appropriate treatment of pneumonia, uncomplicated malaria, and non‐bloody diarrhea among children less than 5 years of age attending drug shops in East Central Uganda. Results The proportion of children treated appropriately for pneumonia symptoms was 10.84% (P < .05, CI = [1.75, 19.9]) higher, for uncomplicated malaria was 1.46% (P = .79, CI = [−10.43, 13.36]) higher, and for non‐bloody diarrhea was 4.00% (P < .05, CI = [−7.95, −0.13]) lower in the intervention district than the comparison district, respectively. Post‐intervention trend results showed an increase of 1.21% (P = .008, CI = [0.36, 2.05]) in the proportion appropriately treated for pneumonia symptoms, no difference in appropriate treatment for uncomplicated malaria, and a reduction of 1% (P < .06, CI = [−1.95, 0.02]) in the proportion of children appropriately treated for non‐bloody diarrhea, respectively. Conclusions Peer‐supervision increased the proportion of children less than 5 years of age that received appropriate treatment for pneumonia symptoms but not for uncomplicated malaria and non‐bloody diarrhea. Implementation of community‐level interventions to improve pediatric fever management should consider including peer‐supervision among drug sellers.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.021
GPT teacher head0.323
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2021
Admission routes1
Has abstractyes

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