Evidence map›Paper›PMID 40416664›Full record

ArticleFrontiers in public health2025

The importance of qualitative social science research for informed public health policy at local and national levels: insights from a local health district in New South Wales, Australia.

Jennifer White, Kirrilly Thompson, Joanne Talwar, David N Durrheim

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jennifer WhiteHealth Protection, Hunter New England Local Health District, New Lambton, NSW, Australia.
Kirrilly ThompsonSchool of Medicine and Public Health, University of Newcastle, University Drive Callaghan NSW, Callaghan, NSW, Australia.
Joanne TalwarSchool of Medicine and Public Health, University of Newcastle, University Drive Callaghan NSW, Callaghan, NSW, Australia.
David N DurrheimHealth Protection, Hunter New England Local Health District, New Lambton, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Australia employs an evidence-based approach to public health policy, emphasizing disease prevention, health promotion, and healthcare access that is informed by relevant research. However, implementing effective policy can be challenging due to the complexity of various public health issues. Social and behavioral factors significantly impact individual and community health outcomes, necessitating a deeper understanding of their interrelationships. Social science theories and methodologies provide critical insights into the complex relationships between individuals and society. This perspective paper highlights the critical role of qualitative social science research in shaping public policy by offering rich, contextual insights that quantitative data alone cannot capture. This article examines the benefit of incorporating qualitative social science research in a New South Wales (NSW) local health district's pursuit of evidence-based approaches. Through five case studies, we demonstrate how qualitative social science research has been instrumental in addressing key public health challenges, particularly in managing zoonotic diseases and pandemics, ultimately informing and shaping public health policy.

Indexed as

Health PolicyPublic HealthQualitative ResearchSocial SciencesHumansNew South WalesPolicy Makinginfection controlpublic healthqualitativesocial sciencezoonoses

Identifiers

PMID40416664
PMCPMC12098541

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.