Dataset Information

Can routine data be used to estimate the mental health service use of children and young people living on Gypsy and Traveller sites in Wales? A feasibility study.

ABSTRACT:

Introduction

Gypsies and Travellers have poorer physical and mental health than the general population, but little is known about mental health service use by Gypsy and Traveller children and young people. Finding this group in routine electronic health data is challenging, due to limited recording of ethnicity. We assessed the feasibility of using geographical markers combined with linked routine datasets to estimate the mental health service use of children and young people living on Traveller sites.

Methods

Welsh Government supplied a list of Traveller site postcodes included in Caravan Counts between 2012 and 2020. Using spatial filtering with data from the Adolescent Mental Health Data Platform (ADP) at Swansea University's SAIL Databank, we created a cohort of Traveller site residents aged 11-25 years old, 2010-2019. ADP algorithms were used to describe health service use, and to estimate incidence and prevalence of common mental disorders (CMD) and self-harm.

Results

Our study found a subgroup of young Gypsies and Travellers (n = 802). We found no significant differences between our cohort and the general population for rates of CMD or self-harm. The rate of non-attendance for psychiatric outpatient follow-up appointments was significantly higher in our cohort. Rates were higher (but not statistically significant) among Gypsies and Travellers for measures suggesting less well-managed care, including emergency department attendance and prescribed CMD medication without follow-up. The small size of the cohort resulted in imprecise estimates with wide confidence intervals, compared with those for the general population.

Conclusions

Gypsies and Travellers are under-represented in routine health datasets, even using geographical markers, which find only those resident in authorised traveller sites. Routine data is increasingly relied upon for needs assessment and service planning, which has policy and practice implications for this underserved group. To address health inequalities effort is required to ensure that health datasets accurately capture ethnicity.

SUBMITTER: Rees S

PROVIDER: S-EPMC9937479 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Can routine data be used to estimate the mental health service use of children and young people living on Gypsy and Traveller sites in Wales? A feasibility study.

Rees Sarah S Fry Richard R Davies Jason J John Ann A Condon Louise L

PloS one 20230217 2

<h4>Introduction</h4>Gypsies and Travellers have poorer physical and mental health than the general population, but little is known about mental health service use by Gypsy and Traveller children and young people. Finding this group in routine electronic health data is challenging, due to limited recording of ethnicity. We assessed the feasibility of using geographical markers combined with linked routine datasets to estimate the mental health service use of children and young people living on T ...[more]

PMID: 36800353

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Project description:BackgroundAdult Day care centres provide an important aspect of care provision through all phases of the dementia illness from diagnosis to the end of life (Dabelko HI 2008) supporting the well-being of both older people living with dementia and their care partners. Services within adult day care settings are designed to provide biopsychosocial health benefits to participants as well as care partner respite.ObjectiveTo examine research studies, literature reviews and grey literature and identify and map the literature on psychosocial interventions used in day care services for older people living with dementia and chart their use, evaluation and outcomes. The research review question is "what are the psychosocial interventions used in day care service for older people living with dementia?" Psychosocial interventions are important non-pharmacological interventions which support people's wellbeing.MethodsInclusion/Exclusion criteria were identified and guided the search strategy. Participants were people aged 60 years and over living with dementia attending day care services. The use of psychosocial interventions for this cohort was the focus of the review. Databases were searched (Cochrane Reviews, CINAHL, Embase, Medline EBSCO, Medline Ovid, Medline PubMed, PsycINFO, Scopus, Open Grey, Lenus and WHO Global Index Medicus databases) using keywords/terms with Boolean operators from 2011 to 2023. Rayyan was used to extract and manage the data.ResultsThe findings present a narrative and charting of the data from the 45 papers that met the review criteria, and this data is mapped onto the five objectives. Within this review, interventions were grouped into five broad types: nature (n = 6 papers), memory/cognitive (n = 11 papers), social (n = 17 papers), animal (n = 4 papers), or physical/sensory (n = 7 papers) based interventions.ConclusionsThis review has illustrated the wide variety in the types, range and facilitation of psychosocial interventions within adult day care services. This review highlights the potential benefits of these interventions. However, findings must be considered in the context that many were provided as brief intervention studies with little evidence of continuation after the study and further research is required given the complex and diverse range of interventions. Results will be of interest to practitioners planning to implement or evaluate psychosocial interventions used in day care services for older people living with dementia.

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Dataset Information

Can routine data be used to estimate the mental health service use of children and young people living on Gypsy and Traveller sites in Wales? A feasibility study.

Introduction

Methods

Results

Conclusions

Publications

Can routine data be used to estimate the mental health service use of children and young people living on Gypsy and Traveller sites in Wales? A feasibility study.

Similar Datasets

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