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Record W4397004235 · doi:10.3390/ijerph21050640

The Integrated Family Approach in Mental Health Care Services: A Study of Risk Factors

2024· article· en· W4397004235 on OpenAlexaboutno aff
Hanna Stolper, Marjolein van der Vegt, Karin van Doesum, Majone Steketee

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2024
Typearticle
Languageen
FieldPsychology
TopicFamily Caregiving in Mental Illness
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthQuarter (Canadian coin)PsychologyMedicinePsychiatryGeography

Abstract

fetched live from OpenAlex

BACKGROUND: Parental mental disorders in families are frequently accompanied with other problems. These include family life, the development of children, and the social and economic environment. Mental health services often focus treatments on the individual being referred, with little attention to parenting, the family, child development, and environmental factors. This is despite the fact that there is substantial evidence to suggest that the children of these parents are at increased risk of developing a mental disorder throughout the course of their lives. Young children are particularly vulnerable to environmental influences given the level of dependency in this stage of development. OBJECTIVE: The main objective of this study was to identify whether there were a complexity of problems and risks in a clinical sample of patients and their young children (0-6) in mental health care, and, if so, whether this complexity was reflected in the integrated treatment given. METHODS: The data were collected for 26 risk factors, based on the literature, and then subdivided into the parental, child, family, and environmental domains. The data were obtained from the electronic case files of 100 patients at an adult mental health service and the corresponding 100 electronic case files of their infants at a child mental health service. RESULTS: The findings evidenced a notable accumulation of risk factors within families, with a mean number of 8.43 (SD 3.2) risk factors. Almost all of the families had at least four risk factors, more than half of them had between six and ten risk factors, and a quarter of them had between eleven and sixteen risk factors. Furthermore, two-thirds of the families had at least one risk factor in each of the four domains. More than half of the families received support from at least two organizations in addition to the involvement of adult and child mental health services, which is also an indication of the presence of cumulative problems. CONCLUSION: This study of a clinical sample shows clearly that the mental disorder among most of the patients, who were all parents of young children, was only one of the problems they had to deal with. The cumulation of risk factors-especially in the family domain-increased the risk of the intergenerational transmission of mental disorders. To prevent these parents and their young children being caught up in this intergenerational cycle, a broad assessment is needed. In addition, malleable risk factors should be addressed in treatment and in close collaboration with other services.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
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 head0.065
GPT teacher head0.409
Teacher spread0.343 · 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 designObservational
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

Citations2
Published2024
Admission routes1
Has abstractyes

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Same venueInternational Journal of Environmental Research and Public HealthSame topicFamily Caregiving in Mental IllnessFrench-language works237,207