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Record W4383058851 · doi:10.1111/jpm.12944

The perceived effects of migration on the mental health of <scp>Afro‐Caribbean</scp> immigrants: A narrative synthesis of qualitative studies

2023· review· en· W4383058851 on OpenAlexaboutno aff
Sandra Ojurongbe

Bibliographic record

VenueJournal of Psychiatric and Mental Health Nursing · 2023
Typereview
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsAcculturationMental healthEthnic groupImmigrationPsychologyMedicineGerontologyPsychiatrySociologyPolitical science

Abstract

fetched live from OpenAlex

WHAT IS KNOWN ON THE SUBJECT?: Economic and educational opportunities are usually the principal driving forces for migration. There is a large body of quantitative research studies, mainly from the U.K., supporting the high prevalence of psychiatric disorders, mainly psychotic disorders, in Afro-Caribbean immigrants which increases across generations. The process of migration and acculturation can present significant risk factors for psychiatric disorders in immigrants. Research involving members of the Black community is generally conducted with the perception that Blacks are a homogenous group, ignoring the cultural and ethnic differences among the subgroups. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: It provides a broadened understanding of the experiences, thoughts and feelings of Afro-Caribbean immigrants, and the factors within the processes of migration and acculturation that negatively impacts their mental health. It provides context to the volume of quantitative studies indicating a high prevalence of psychiatric disorders, particularly psychotic disorders, in Afro-Caribbean immigrants and their offspring. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Nurses conducting mental health evaluations and assessments for members of the Black community should be culturally competent. Cultural competence entails an understanding of cultural beliefs, race, ethnicity and values. Additionally, knowledge of the effects of migration and acculturation as mental health risks is also important to improve mental health outcomes. Cultural competence will help reduce health disparities by increasing trust in the health care system and providers, not only for Afro-Caribbean immigrants, but all immigrant groups. ABSTRACT: INTRODUCTION: There is evidence to support migration as a significant risk factor for psychiatric disorders in immigrants. Unfortunately, as an immigrant group, little is known about the mental health of Afro-Caribbean immigrants and the factors that threaten their mental health. AIM: To explore the perceived effects of migration on the mental health of Afro-Caribbean immigrants. METHODS: A qualitative narrative synthesis was employed to interpretively integrate 13 primary qualitative research findings. Eleven of the primary studies were conducted in the U.K., one in the U.S. and one in Canada. RESULTS: The themes gleaned: (1) experiences of racism, (2) generational conflicts, (3) feelings of powerlessness, (4) limited socioeconomic resources, (5) unfulfilled expectations, (6) fragmented family and community and (7) ignoring cultural/ethnic identity. DISCUSSION: The findings broadened the understanding and experiences of Afro-Caribbean immigrants and their mental health vulnerabilities as they navigate through migration and acculturation. IMPLICATIONS FOR PRACTICE: Addressing the mental health of Afro-Caribbeans will require health care providers to: (1) be cognizant of their immigrant status; (2) understand how migration and acculturation influence the mental health of immigrants; (3) be aware of the ethnocultural differences among Black subgroups.

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)0.016
metaresearch head score (Gemma)0.024
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: Review · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0060.004
Scholarly communication0.0040.004
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.076
GPT teacher head0.466
Teacher spread0.389 · 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
GenreReview

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

Citations10
Published2023
Admission routes1
Has abstractyes

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