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Record W3095179328 · doi:10.4314/rjmhs.v2i1.4

The impact of educational camp on glycemic control of Rwandan type 1 diabetes youth

2019· article· en· W3095179328 on OpenAlexaff
Claudine B. Kabeza, Thirumagal Kanagasabai, Brenda A. Kateera, Crispin Gishoma, Arsene F. Hobabagabo, Ziad El‐Khatib

Bibliographic record

VenueRwanda Journal of Medicine and Health Sciences · 2019
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsGlycemicMedicineGlycated hemoglobinDiabetes mellitusSummer campType 2 diabetesType 1 diabetesPediatricsInternal medicineEndocrinologyPsychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

In Rwanda, the prevalence of known type 1 diabetes mellitus in seven districts of the country is 16.4 per 100,000 in young adults under 25 years old. The objective of this study was to compare the glycemic control of type 1 diabetes youth before and after the diabetes camp in Rwanda. A quasi experimental design using a longitudinal approach to compare the glycemic control before and after camp was used; 97 type 1 diabetes youth of both sexes, average age of 21 years were assigned into 8 groups and every group attended 5 days of diabetes education at the camp. Medical records about glycated hemoglobin levels before and 3 months after the camp were extracted from the database of Rwanda Diabetes Association and were analyzed to identify the impact of the educational camp. The mean difference between the glycemic control before and 3 months after the camp revealed a statistically significant decrease of 2.1% HbA1c (P-value = 0.02). As conclusion, this study found that diabetes educational camp is an effective strategy to improve Rwandan type 1 diabetes youth’s glycemic control. ________________________________________________________________________Key words: Rwanda, type 1 diabetes, youth, camp, glycemic control

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)0.001
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.403
Teacher spread0.355 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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