Evidence map›Paper›PMID 31416202›Full record

ReviewAnimals : an open access journal from MDPI2019

Change the Humans First: Principles for Improving the Management of Free-Roaming Cats.

Lynette J McLeod, Donald W Hine, Aaron B Driver

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  9. Characteristics of cat semi-owners.Journal of feline medicine and surgery · 2023
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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

3 authors.

Lynette J McLeodSchool of Psychology, University of New England, Armidale, NSW 2350, Australia. lmcleod7@une.edu.au.ORCID 0000-0001-9408-3342
Donald W HineSchool of Psychology, University of New England, Armidale, NSW 2350, Australia.
Aaron B DriverUNE Business School, University of New England, Armidale, NSW 2350, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Australia, free-roaming cats can be found in urban and rural areas across the country. They are inherently difficult to manage but it is frequently human behaviour that demands the most attention and is in most need of change. To the frustration of policy makers and practitioners, scientific knowledge, technological developments, and legal and institutional innovations, often run afoul of insufficient public capacity, opportunity and motivation to act. This paper demonstrates how the behavioural science literature can provide important insights into maximising the impact of free-roaming cat control activities within an ethical framework that prioritises acting "with" all stakeholders, rather than "on" stakeholders. By better understanding how human values, attitudes and beliefs are shaped, practitioners can more effectively and respectfully interact with how people interpret the world around them, make choices and behave. This literature also has much to say about why certain types of media and marketing messages elicit behaviour change and why other types fall flat. Finally, in addition to explaining the behavioural science and its implications, this review provides researchers, policy makers and engagement specialists with an inclusive, practical framework for conceptualising behaviour change and working to ensure land managers, cat owners and the general public can agree on and adopt best practices for managing free-roaming cats.

Indexed as

behaviour change wheelcommunity-based social marketinghuman behaviour changeintervention design

Identifiers

PMID31416202
PMCPMC6720588

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.