Evaluating a complex model designed to increase access to high quality primary mental health care for under-served groups: a multi-method study.

BMC Health Services Research
Christopher DowrickLinda Gask

Abstract

Many people with mental distress are disadvantaged because care is not available or does not address their needs. In order to increase access to high quality primary mental health care for under-served groups, we created a model of care with three discrete elements: community engagement, primary care training and tailored wellbeing interventions. We have previously demonstrated the individual impact of each element of the model. Here we assess the effectiveness of the combined model in increasing access to and improving the quality of primary mental health care. We test the assumptions that access to the wellbeing interventions is increased by the presence of community engagement and primary care training; and that quality of primary mental health care is increased by the presence of community engagement and the wellbeing interventions. We implemented the model in four under-served localities in North-West England, focusing on older people and minority ethnic populations. Using a quasi-experimental design with no-intervention comparators, we gathered a combination of quantitative and qualitative information. Quantitative information, including referral and recruitment rates for the wellbeing interventions, and practice referral...Continue Reading

References

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Citations

Jan 31, 2019·American Journal of Public Health·Tanya Agurs-CollinsTilda Farhat
Jun 25, 2018·BMC Family Practice·Henny SinnemaAnton van Balkom
Aug 25, 2020·Current Treatment Options in Psychiatry·Jordyn NewmarkJordan F Karp
Feb 15, 2017·BJGP Open·Christopher Dowrick
Dec 4, 2020·Primary Health Care Research & Development·Dineke SmitJan de Lepeleire
Feb 18, 2021·Archives of Psychiatric Nursing·Ana Beatriz Rizzo ZanardoCarla Aparecida Arena Ventura

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Methods Mentioned

BETA
cognitive behavioural therapy

Clinical Trials Mentioned

ISRCTN68572159

Software Mentioned

MAXQDA
Meta
Ethnography
AMP

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