Evidence map›Paper›PMID 36121814›Full record

ArticlePloS one2022

Preventive health resource allocation decision-making processes and the use of economic evidence in an Australian state government-A mixed methods study.

Jaithri Ananthapavan, Gary Sacks, Marj Moodie, Phuong Nguyen, Rob Carter

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

5 authors.

Jaithri AnanthapavanDeakin University, Geelong, Australia.ORCID 0000-0002-5957-6931
Gary SacksDeakin University, Geelong, Australia.ORCID 0000-0001-9736-1539
Marj MoodieDeakin University, Geelong, Australia.
Phuong NguyenDeakin University, Geelong, Australia.
Rob CarterDeakin University, Geelong, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextRecommended best practice for resource allocation decisions by governments include a stepwise process guided by economic evidence. However, the use of economic evidence in preventive health decision-making, which often impacts on multiple sectors of government, is under-researched. This study aimed to explore the resource allocation decision-making processes for preventive health interventions in the New South Wales (NSW) Government in Australia, and specifically examined the barriers and facilitators to the use of economic evidence from the perspective of multiple government departments.

methodsThis mixed methods study was conducted using semi-structured interviews with NSW Treasury representatives (n = 4), a focus group of NSW Ministry of Health representatives (n = 9), and a quantitative questionnaire of all participants. The schedule for the interviews and focus group was based on resource allocation guidance documents from Australian government agencies. Deductive content analysis was undertaken, guided by the Multiple Streams Framework.

findingsNSW Treasury participants believed that decision-making processes where economic efficiency was the key guiding principle was the ideal approach. However, the NSW Ministry of Health participants identified that for preventive health decision-making, economic evidence was not used to inform their own choices but was typically only used to convince other agencies of the merits of proposed initiatives when seeking approval. The key barriers to the use of economic evidence were the lack of capacity within the NSW Ministry of Health to understand and undertake economic evaluations; a lack of collaboration between NSW Treasury and preventive health decision-makers within the NSW Ministry of Health; and deficient processes and governance mechanisms that do not facilitate or incentivise effective inter-sectoral decision-making.

conclusionsInstitutional structures for resource allocation decision-making regarding preventive health result in processes that contrast with best practice recommendations. The multiple challenges to collaborative decision-making across agencies require organisational change to promote a whole-of-government approach.

Indexed as

Decision MakingResource AllocationAustraliaHumansPreventive Health ServicesState Government

Identifiers

PMID36121814
PMCPMC9484643

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.