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Record W4411846621 · doi:10.3899/jrheum.2025-0314.58

“I Was Just So Concerned That This Was Going to Be a Lifetime of Problems for Him”: Caregiver Experience of Children Diagnosed with Lyme Arthritis in Nova Scotia

2025· article· en· W4411846621 on OpenAlexaffvenueabout
Reanna Laltoo, Chelsea DeCoste, Adam M. Huber, Bianca Lang, Elizabeth Stringer

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsNova Scotia Department of Health and WellnessIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsNova scotiaMedicineLyme diseaseArthritisFamily medicinePhysical therapyInternal medicineVirology

Abstract

fetched live from OpenAlex

Objectives Nova Scotia (NS) has the highest incidence of Lyme disease (LD) in Canada.[1] The pediatric rheumatology clinic in Halifax, NS, has seen a significant increase in the number of referrals for Lyme arthritis (LA) over the past decade. There exist unanswered questions and controversies related to LD, including the link between long-term chronic symptoms and LD, primarily described in adult literature.[2] Our objective was to explore the perceptions of caregivers of children diagnosed with LA regarding knowledge about LD prior to diagnosis, views on the care provided, and attitudes toward their child’s ongoing health in relation to the LD diagnosis. Methods Patients diagnosed with LA between January 1 to December 31, 2022, were identified from a tertiary care pediatric rheumatology clinic in Halifax, NS. Purposive sampling was conducted based on the age of the child, clinical course, and health zone of residence. Parents were invited to participate in the study via a letter. Telephone interviews, using a semi-structured interview guide, were recorded and transcribed. Themes were abstracted from transcripts using an open coding and general inductive approach. Results 14 interviews (10 mothers, 4 fathers) were completed [median age of child 8.5 (range 3-14)]. Eight patients had resolution of LA following the first course of antibiotics and 6 required further treatment to reach symptom resolution. All 4 NS health zones were represented. Five themes were identified (selected quotes are presented in Table 1): (1) Pre-existing negative perceptions. Caregivers had negative connotations informed by learning of experiences of acquaintances and celebrities with LD. (2) Lack of awareness about LD presentation in children. Caregivers were not aware that arthritis is a manifestation of LD or that a bullseye rash may not be present. (3) Need for reassurance. Caregivers were relieved when referred to a specialist and took comfort in having the chance to ask questions and be given a clear treatment plan. (4) Emotional impact. Caregivers experienced persistent guilt (eg, they should have prevented the infection) and fear about reinfection. (5) Responsibility to spread awareness. Caregivers felt the need to share their knowledge and experience in their communities around the symptoms and presentation of LD in children. Table 1. Selected quotes from caregivers relating to the five themes. Conclusion Healthcare providers have an opportunity to anticipate caregivers’ perceptions of LD and provide evidence-based education and reassurance. Despite the high incidence of LD in NS, there is a need to improve public knowledge about manifestations of LD in children, particularly LA. [1.] Gasmi S. Can Commun Dis Rep 2022;48(5):219-27. [2.] Marques A. Infect Dis Clin North Am 2022;36(3):621-38.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
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 head0.013
GPT teacher head0.254
Teacher spread0.241 · 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 designQualitative
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".

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Citations0
Published2025
Admission routes3
Has abstractyes

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