Evidence map›Paper›PMID 38193920›Full record

ArticleJournal of behavioral addictions2024

Feature preferences of sports betting platforms: A discrete choice experiment shows why young bettors prefer smartphones.

Nerilee Hing, Alex M T Russell, Catherine Tulloch, Lisa Lole, Matthew Rockloff, Matthew Browne, Hannah Thorne, Philip Newall

Open access · goldAbstract read
In one paragraph

Article in Journal of behavioral addictions, 2024. 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
1.9field-weighted citation impact, top 17% of its field
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, 3 citations in OpenAlex.

  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

8 authors at 2 institutions in 2 countries.

Nerilee Hing1Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, Australia.ORCID 0000-0002-2150-9784
Alex M T Russell1Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, Australia.ORCID 0000-0002-3685-7220
Catherine Tulloch1Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, Australia.ORCID 0000-0002-2842-5110
Lisa Lole1Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, Australia.ORCID 0000-0001-7756-3176
Matthew Rockloff1Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, Australia.ORCID 0000-0002-0080-2690
Matthew Browne1Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, Australia.ORCID 0000-0002-2668-6229
Hannah Thorne1Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, Australia.ORCID 0000-0002-2830-2911
Philip Newall1Experimental Gambling Research Laboratory, School of Health, Medical and Applied Sciences, CQUniversity, Australia.ORCID 0000-0002-1660-9254
Central Queensland University · AUUniversity of Bristol · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Smartphone, computer and land-based betting platforms each have distinctive features. This study examined 1) preferred features of sports betting platforms amongst young adults and 2) whether feature preferences vary with gambling severity. Methods: The study surveyed 616 Australians aged 18-29 years who bet at-least monthly on sports, esports and/or daily fantasy sports. Participants provided a simple rating of the importance of 24 features of betting platforms and then completed a discrete choice experiment to indicate their preferences amongst different groups of features. Results: Smartphones were the only platform providing all preferred features. The most important feature was ability to bet instantly 24/7 from any location, followed by electronic financial transactions. Less important features were ability to access betting information online and to bet with multiple operators. Social and privacy features, and access to promotions, did not significantly predict platform choice. The experiment found no significant differences in preferred features by gambling severity group or by gender. The non-experimental descriptive data, however, indicated that participants in the moderate risk/problem gambling categories placed significantly more importance on privacy, ability to place in-play bets, bet with cash, bet with a credit card, see frequent promotions, and bet with multiple operators. Discussion and conclusions: Most features that bettors prefer can intensify betting. Curtailment of betting promotions, in-play betting, and credit card betting are measures that can assist higher-risk gamblers without unduly affecting other gamblers. Consumer protection tools, including mandatory pre-commitment, need strengthening to help counter the unique risks of smartphone betting.

Indexed as

GamblingSportsAdolescentAdultAustralasian PeopleAustraliaHumansSmartphoneYoung Adultconjoint analysisdiscrete choice experimentgambling disorderproblem gamblingsmartphonesports betting

Identifiers

PMID38193920
PMCPMC10988403
OpenAlexW4390757347

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.