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Record W2168249707 · doi:10.1542/peds.2004-1901

Characteristics of Pediatric and Adolescent Patients Attending a Naturopathic College Clinic in Canada

2005· article· en· W2168249707 on OpenAlexaffabout
Kumanan Wilson, Jason W. Busse, Amy Gilchrist, Sunita Vohra, Heather Boon, Edward J. Mills

Bibliographic record

VenuePEDIATRICS · 2005
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of AlbertaCanadian College of Naturopathic MedicineUniversity of TorontoMcMaster University
Fundersnot available
KeywordsMedicineNaturopathyFamily medicineAdolescent medicinePediatricsAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: The use of complementary and alternative medicine (CAM) has grown substantially in North America and has drawn the attention of conventional-medicine practitioners. Conventional-medicine practitioners have expressed concern about the potential for unregulated CAM therapies to cause harm, the sometimes-uncertain cost-benefit ratios associated with these therapies, and the possibility that some CAM providers might advise against established conventional therapies, such as vaccination. These concerns are heightened with respect to the pediatric use of CAM products. To address this issue, we conducted a systematic audit of pediatric and adolescent case files at a large, college-based, Canadian naturopathic teaching clinic. We specifically sought to describe the demographic characteristics, reasons for presentation, use of CAM products, and vaccinations status of children presenting for naturopathic assessment. We also determined factors associated with the use of CAM products and vaccination status. METHODS: We identified all charts for children (<18 years of age) who presented to the Robert Schad Naturopathic Clinic, the teaching clinic of the Canadian College of Naturopathic Medicine, between February 1 and May 31, 2002. Data were abstracted directly from the standardized patient intake forms and from clinical notes recorded during the patient's initial visit to the clinic. The following data were obtained: age, gender, chief presenting complaints reported by parents, CAM product use at presentation, vaccination status, and reactions to vaccination. We conducted logistic regression analyses to identify factors associated with both CAM product use and vaccination status. RESULTS: A total of 482 charts were identified. The mean age of patients was 6.5 years (95% confidence interval [CI]: 1.6-11.4 years). The ratio of female subjects to male subjects was 1.09:1 (248:227). The most common reasons for presentation were skin disorders (23%), gastrointestinal complaints (17%), and psychiatric/behavioral disorders (15%). Thirty-five percent of children were using CAM products at presentation (21.2% when both vitamins and minerals were excluded). Vitamins were the most commonly used products (34.6%), followed by herbal remedies (14.9%), oil blends/fats (7.2%), minerals (5.6%), probiotics (4.5%), and homeopathic remedies (3.7%). Of charts with vaccination information, 8.9% indicated that children had not been vaccinated; possible vaccine-associated adverse events were reported for 27% of those who had been vaccinated. Partial or unvaccinated status was associated with younger age, attending the Canadian College of Naturopathic Medicine for advice regarding vaccination, and greater use of CAM products. CAM product use was associated with unvaccinated or partially vaccinated status (odds ratio [OR]: 2.86; 95% CI: 1.46-5.63), presenting with poor energy or fatigue (OR: 3.36; 95% CI: 1.00-11.26), or presenting with throat or sinus infections (OR: 4.06; 95% CI: 1.23-13.04). CONCLUSIONS: Children present for naturopathic assessment for diverse reasons, are high-level consumers of CAM products, and have lower rates of vaccination than population averages. The conventional-medicine community should work with naturopaths to address public health concerns in this population.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.028
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.278
Teacher spread0.256 · 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 teacher head, 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

Citations45
Published2005
Admission routes2
Has abstractyes

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