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Immigrant women’s experiences of receiving care in a mobile health clinic

2010· article· en· W2092222640 on OpenAlexaffabout
Sepali Guruge, JoAnne Hunter, Keegan K. Barker, Mary Jane McNally, Lílian Magalhães

Bibliographic record

VenueJournal of Advanced Nursing · 2010
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsWestern UniversityUniversity of OttawaToronto Western HospitalUniversity Health NetworkToronto Metropolitan University
Fundersnot available
KeywordsImmigrationHealth careDisadvantageMedicineContext (archaeology)PortugueseNursingObservational studyFamily medicine

Abstract

fetched live from OpenAlex

AIM: This paper is a report of a study of the experiences of Portuguese-speaking immigrant women who used a mobile health clinic for their reproductive health care. BACKGROUND: Upon arrival in Canada, immigrant women often are in better health than their Canadian-born counterparts; however, this health status tends to deteriorate over time. One reason for this change is limited access to services. METHOD: Data collection during 2004 and 2005 involved individual interviews with seven Portuguese-speaking women who received care in a mobile health clinic in Toronto, Canada, and with four clinic care providers. Non-participant observation of the interaction between clients and care providers was also conducted. Interviews conducted in Portuguese were translated into English and transcribed, along with those conducted in English. Interview transcripts were read and re-read in the context of observational notes to develop codes. Emerging codes were grouped together to develop subcategories and categories. FINDINGS: Participants' experiences of accessing and receiving care in the mobile health clinic were shaped by their perceptions of health, which included physical, mental, social and spiritual aspects, and their pre- and postmigration care experiences. As an alternative model of care delivery, the mobile health clinic was perceived by participants to address their care needs and to help overcome postmigration barriers by providing accessible, holistic, and linguistically and culturally appropriate care. CONCLUSION: Mobile health clinics should be considered as an alternative care delivery model for immigrant women who may be at a disadvantage because of their socio-economic, cultural, and racialized statuses.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.014
GPT teacher head0.391
Teacher spread0.376 · 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 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".

Quick stats

Citations60
Published2010
Admission routes2
Has abstractyes

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