Evidence map›Paper›PMID 39576975›Full record

ArticleJMIR formative research2024

Population Characteristics in Justice Health Research Based on PubMed Abstracts From 1963 to 2023: Text Mining Study.

Wilson Lukmanjaya, Tony Butler, Patricia Taflan, Paul Simpson, Natasha Ginnivan, Iain Buchan, Goran Nenadic, George Karystianis

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wilson LukmanjayaSchool of Population Health, University of New South Wales, Sydney, Australia.ORCID 0000-0002-7747-4648
Tony ButlerSchool of Population Health, University of New South Wales, Sydney, Australia.ORCID 0000-0002-2679-2769
Patricia TaflanSchool of Population Health, University of New South Wales, Sydney, Australia.ORCID 0000-0001-9094-2082
Paul SimpsonSchool of Population Health, University of New South Wales, Sydney, Australia.ORCID 0000-0002-1947-8923
Natasha GinnivanSchool of Population Health, University of New South Wales, Sydney, Australia.ORCID 0000-0002-8581-6812
Iain BuchanInstitute of Population Health, Liverpool University, Liverpool, United Kingdom.ORCID 0000-0003-3392-1650
Goran NenadicSchool of Computer Science, University of Manchester, Manchester, United Kingdom.ORCID 0000-0003-0795-5363
George KarystianisSchool of Population Health, University of New South Wales, Sydney, Australia.ORCID 0000-0003-3491-361X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe field of epidemiological criminology (or justice health research) has emerged in the past decade, studying the intersection between the public health and justice systems. To ensure research efforts are focused and equitable, it is important to reflect on the outputs in this area and address knowledge gaps.

objectiveThis study aimed to examine the characteristics of populations researched in a large sample of published outputs and identify research gaps and biases.

methodsA rule-based, text mining method was applied to 34,481 PubMed abstracts published from 1963 to 2023 to identify 4 population characteristics (sex, age, offender type, and nationality).

resultsWe evaluated our method in a random sample of 100 PubMed abstracts. Microprecision was 94.3%, with microrecall at 85.9% and micro-F

conclusionsResearch reporting on female populations increased, surpassing that involving male individuals, despite female individuals representing 5% of the incarcerated population; this suggests that male prisoners are underresearched. Although calls have been made for the justice health area to focus more on young people, our results showed that among the abstracts reporting age, most mentioned a population aged <18 years, reflecting a rise of youth involvement in the youth justice system. Those convicted of sex offenses and crimes relating to children were not as researched as the existing literature suggests, with a focus instead on populations with mental illness, whose rates rose steadily in the last 30 years. After adjusting for the size of the incarcerated population, Nordic countries have conducted proportionately the most research. Our findings highlight that despite the presence of several research reporting guidelines, justice health abstracts still do not adequately describe the investigated populations. Our study offers new insights in the field of justice health with implications for promoting diversity in the selection of research participants.

Indexed as

Data MiningPubMedCriminologyFemaleHumansMalebiascriminologyepidemiological criminologyepidemiologyhealth researchjustice healthjustice systemsmenoffending and incarcerated populationsopen researchpopulationpopulation characteristicsprisonprisonerpublic healthPubMedresearchertext miningtext mining studywomen

Identifiers

PMID39576975
PMCPMC11624456

What Socratic 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 Socratic graph.