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

  • Clare England
  • , David Jarrom
  • , Jenni Washington
  • , Elise Hasler
  • , Leona Batten
  • , Adrian Edwards
  • , Ruth Lewis
  • Health Technology Wales
  • Cardiff University

Research output: Contribution to journalArticlepeer-review

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Abstract

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
A rapid evidence review was undertaken. Nineteen databases, including grey literature, were searched for evidence published between 1970 and April 2023.

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
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.

Original languageEnglish
Article number105062
JournalHealth Policy
Volume144
Early online date4 Apr 2024
DOIs
Publication statusPublished - Jun 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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