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Record W2098590453 · doi:10.1186/s12889-015-2279-z

Experiencing ‘pathologized presence and normalized absence’; understanding health related experiences and access to health care among Iraqi and Somali asylum seekers, refugees and persons without legal status

2015· article· en· W2098590453 on OpenAlexafffund
Mei Lan Fang, Judith Sixsmith, Rebecca Lawthom, Ilana Mountian, Afifa Shahrin

Bibliographic record

VenueBMC Public Health · 2015
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsSimon Fraser University
FundersSimon Fraser UniversityUniversity of NorthamptonManchester Metropolitan University
KeywordsSomaliRefugeeHealth careQualitative researchFocus groupMedicineOppressionDisadvantageNursingSociologyPolitical sciencePoliticsLawSocial science

Abstract

fetched live from OpenAlex

BACKGROUND: Asylum seekers, refugees and persons without legal status have been reported to experience a range of difficulties when accessing public services and supports in the UK. While research has identified health care barriers to equitable access such as language difficulties, it has not considered the broader social contexts of marginalization experienced through the dynamics of 'othering'. The current study explores health and health care experiences of Somali and Iraqi asylum seekers, refugees and persons without legal status, highlighting 'minoritization' processes and the 'pathologization' of difference as analytical lenses to understand the multiple layers of oppression that contribute to health inequities. METHODS: For the study, qualitative methods were used to document the lived experiences of asylum seekers, refugees and persons without legal status. Thirty-five in-depth interviews and five focus groups were used to explore personal accounts, reveal shared understandings and enable social, cognitive and emotional understandings of on-going health problems and challenges when seeking treatment and care. A participatory framework was undertaken which inspired collaborative workings with local organizations that worked directly with asylum seekers, refugees and persons without legal status. RESULTS: The analysis revealed four key themes: 1) pre-departure histories and post-arrival challenges; 2) legal status; 3) health knowledges and procedural barriers as well as 4) language and cultural competence. Confidentiality, trust, wait times and short doctor-patient consultations were emphasized as being insufficient for culturally specific communications and often translating into inadequate treatment and care. Barriers to accessing health care was associated with social disadvantage and restrictions of the broader welfare system suggesting that a re-evaluation of the asylum seeking process is required to improve the situation. DISCUSSIONS: Macro- and micro-level intersections of accustomed societal beliefs, practices and norms, broad-level legislation and policy decisions, and health care and social services delivery methods have affected the health and health care experiences of forced migrants that reside in the UK. Research highlights how 'minoritization processes,' influencing the intersections between social identities, can hinder access to and delivery of health and social services to vulnerable groups. Similar findings were reported here; and the most influential mechanism directly impacting health and access to health and social services was legal status. CONCLUSIONS: Equitable health care provision requires systemic change that incorporate understandings of marginalization, 'othering' processes and the intersections between the past histories and everyday realities of asylum seekers, refugees and persons without legal status.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.107
GPT teacher head0.399
Teacher spread0.292 · 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.

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

Citations64
Published2015
Admission routes2
Has abstractyes

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