Evidence map›Paper›PMID 31623449›Full record

ArticleEvaluation & the health professions2020

Commentary: The Problems of Grouping All Adversity Into a Special Populations Label.

Steve Sussman, Shanna K Kattari, Lourdes Baezconde-Garbanati, Shane N Glackin

Abstract read
In one paragraph

Article in Evaluation & the health professions, 2020. 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. Managing Atopic Dermatitis with Dupilumab in Special Populations: A Case Series Study.Clinical, cosmetic and investigational dermatology · 2025
    Article
  2. Substance and Behavioral Addictions, and Their Consequences among Vulnerable Populations.International journal of environmental research and public health · 2022
    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.

Steve SussmanDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-6778-9718
Shanna K KattariSchool of Social Work, University of Michigan, Ann Arbor, MI, USA.
Lourdes Baezconde-GarbanatiDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Shane N GlackinDepartment of Sociology, Philosophy, and Anthropology, University of Exeter, UK.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

"Special populations" refer to groups of people whose needs are not fully addressed by traditional health services delivery. Greater access to these services, or tailored services, must be provided to reduce inequities in physical and mental health-care systems. Many different groups have been identified as special populations. We comment on controversies regarding the use of the term special populations in health practice and policy. Applicable conceptual issues include intersectionality, unitization, definitional drawbacks, and looping effects. There is a need to make clear the challenges posed by use of this term (e.g., discrimination, workability). An approach that acknowledges the diversity of groups and accommodates them where necessary without discrimination and unequal treatment is needed.

Indexed as

Terminology as TopicVulnerable PopulationsDelivery of Health CareHealth Services AccessibilityHumansdiscriminationintersectionalityloopingspecial populationsunitization

Identifiers

PMID31623449
PMCPMC7458415

What OpenQuestion holds

Textmetadata
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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.