Methodological approaches to measuring mental health in a cost-of-living crisis: A rapid review.

Cost-of-living Financial crisis Health policy Mental health

Journal

Health policy (Amsterdam, Netherlands)
ISSN: 1872-6054
Titre abrégé: Health Policy
Pays: Ireland
ID NLM: 8409431

Informations de publication

Date de publication:
04 Apr 2024
Historique:
received: 01 11 2023
revised: 26 03 2024
accepted: 01 04 2024
medline: 15 4 2024
pubmed: 15 4 2024
entrez: 14 4 2024
Statut: aheadofprint

Résumé

Cost-of-living crises are damaging to population mental health and require a public health response. It is important to assess whether public health interventions are effective. We aimed to identify population-level methods and measures and the appropriateness of the measures for vulnerable populations. A rapid evidence review was undertaken. Nineteen databases, including grey literature, were searched for evidence published between 1970 and April 2023. Seven reviews, nine primary studies and two reports from grey literature were identified. Methods consisted of analyses of existing data from national or regional cohort studies, household panel surveys, repeated cross-sectional surveys, routine medical data, or data on suicide death rates. Twelve brief validated mental health measurement tools, embedded in population-level surveys, were identified. Two quasi-experimental studies used data from a UK household panel survey to examine the impact of the introduction of specific welfare policies on mental health. Studies identified socio-economic vulnerabilities, but it was not possible to determine whether data were effectively captured from people from minority ethnic groups. Population-level surveys can be used in quasi-experimental studies to measure the effects of a public health initiative with specific roll out dates to tackle cost-of-living impacts. It is unclear as to whether the identified methods and tools are suitable for use with people from minority ethnic groups.

Sections du résumé

BACKGROUND BACKGROUND
Cost-of-living crises are damaging to population mental health and require a public health response. It is important to assess whether public health interventions are effective. We aimed to identify population-level methods and measures and the appropriateness of the measures for vulnerable populations.
METHODS METHODS
A rapid evidence review was undertaken. Nineteen databases, including grey literature, were searched for evidence published between 1970 and April 2023.
RESULTS RESULTS
Seven reviews, nine primary studies and two reports from grey literature were identified. Methods consisted of analyses of existing data from national or regional cohort studies, household panel surveys, repeated cross-sectional surveys, routine medical data, or data on suicide death rates. Twelve brief validated mental health measurement tools, embedded in population-level surveys, were identified. Two quasi-experimental studies used data from a UK household panel survey to examine the impact of the introduction of specific welfare policies on mental health. Studies identified socio-economic vulnerabilities, but it was not possible to determine whether data were effectively captured from people from minority ethnic groups.
CONCLUSION CONCLUSIONS
Population-level surveys can be used in quasi-experimental studies to measure the effects of a public health initiative with specific roll out dates to tackle cost-of-living impacts. It is unclear as to whether the identified methods and tools are suitable for use with people from minority ethnic groups.

Identifiants

pubmed: 38615626
pii: S0168-8510(24)00072-1
doi: 10.1016/j.healthpol.2024.105062
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

105062

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare they have no conflicts of interest to report.

Auteurs

Clare England (C)

Health Technology Wales, United Kingdom. Electronic address: clare.england2@wales.nhs.uk.

David Jarrom (D)

Health Technology Wales, United Kingdom.

Jennifer Washington (J)

Health Technology Wales, United Kingdom.

Elise Hasler (E)

Health Technology Wales, United Kingdom.

Leona Batten (L)

Health Technology Wales, United Kingdom.

Adrian Edwards (A)

Health and Care Research Wales Evidence Centre, Cardiff University, United Kingdom.

Ruth Lewis (R)

Health and Care Research Wales Evidence Centre, Bangor University, United Kingdom.

Classifications MeSH