Evidence map›Paper›PMID 42295584›Full record

ArticleAIDS and behavior2026

Exploring Perspectives About Public Health Vending Machine Implementation on an American Indian Reservation in the Northern Midwest, United States.

Sean T Allen, Maisie Conrad, Kristin E Schneider, Allison O'Rourke, Pam Hughes, Melissa Walls

Abstract read
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Article in AIDS and behavior, 2026. 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

6 authors.

Sean T AllenDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA. sallen63@jhu.edu.ORCID http://orcid.org/0000-0002-0540-3824
Maisie ConradDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD, 21205, USA.
Kristin E SchneiderDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA.
Allison O'RourkeDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA.
Pam HughesBois Forte Band of Chippewa (Enrolled Member), PO Box 511, Tower, MN, 55790, USA.
Melissa WallsDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD, 21205, USA.

Funding

NIH HHS 1P30AI094189
6 · The paper itself

Abstract

Public health vending machines (PHVMs) are a recent innovation in the delivery of health promoting supplies in the United States (US). However, there are significant gaps in our understanding of their potential impacts on American Indian reservations. This study explores perspectives about PHVM implementation through semi-structured interviews among a sample of persons (N = 12) who used a PHVM on an American Indian reservation. Participants were asked to describe their perceptions about the PHVMs, including how they affected infectious disease and overdose prevention. Participants reported that PHVMs enhanced access to a variety of health-promoting supplies (e.g., HIV tests, sterile injection equipment, naloxone). Participants explained that the PHVMs offered HIV and overdose prevention supplies in a low-threshold manner that minimized stigma. Future work should explore associations between PHVM implementation and shifts in infectious disease transmission and overdose morbidity and mortality on American Indian reservation lands.

Indexed as

American Indian reservationsHIV preventionPublic health vending machinesRural

Identifiers

What OpenQuestion holds

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Registered trials

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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.