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Record W3155053016 · doi:10.1186/s12888-021-03382-0

Patients’ perspectives on the experience of absconding from a psychiatric hospital: a qualitative study

2021· article· en· W3155053016 on OpenAlexaff
Mark Mohan Kaggwa, Anita Acai, Godfrey Zari Rukundo, Sheila Harms, Scholastic Ashaba

Bibliographic record

VenueBMC Psychiatry · 2021
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPsychiatryReferralLonelinessMental illnessMedicineMental healthPsychiatric hospitalQualitative researchStigma (botany)PsychologyFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Absconding (i.e., escaping) is common among patients with mental illness admitted to psychiatric hospitals. Patients use various strategies to make absconding successful due to the experiences faced during admission. We conducted a study to identify patients' perspectives on the experience of absconding from the psychiatry facility. METHODS: We conducted 10 in-depth interviews with patients with a history of absconding from the hospital who were accessing care at the Mbarara Regional Referral Hospital in Mbarara city Uganda. Interviews were audio-recorded, translated when required, transcribed into English, and analyzed thematically to identify relevant themes. RESULTS: Participants ranged in age from 18 to 55 and the majority (n = 9) were male. Most had absconded at least twice from a psychiatric facility. We identified different experiences that influenced patients' engagement in absconding from the psychiatry hospital ward. These included: (1) stigma, (2) experiences with caregivers: mixed emotions, (3) poor resources and services, and (4) the influence of mental illness symptoms. The loneliness of stigma, negative emotions associated with the loss of important roles given the nature and framework of caregiving on the psychiatric ward, as well as the stress of limited resources were a salient part of the patient experience as it relates to absconding. CONCLUSION: Our findings indicate that absconding is a symptom of a larger problem with a mental health system that perpetuates stigma in its design, isolates patients and makes them feel lonely, and forces patients to rely on caregivers who infantilize them and take away all their freedom in a facility with no basic services. For many patients, this makes absconding the only option. Within such a system, all stakeholders (policymakers, health-care providers, caregivers, and patients) should be involved in rethinking how psychiatric facilities should be operated to make the journey of patient recovery more positive.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.356
Teacher spread0.322 · 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

Citations14
Published2021
Admission routes1
Has abstractyes

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