Evidence map›Paper›PMID 39507670›Full record

ArticleFrontiers in public health2024

Investigating the implementation of a novel approach to alcohol screening and brief intervention in Mexico: a mixed-methods study using pseudo-patients.

Deborah A Fisher, Joel W Grube, Liz Lilliott-González, Marissa Elias, Robert Sturm, Christopher L Ringwalt, Ted R Miller, Elena Cardenas Vargas, Tom Achoki, Angela Rizzo

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Deborah A FisherPIRE Programs NF, Pacific Institute for Research and Evaluation, Beltsville, MD, United States.
Joel W GrubePIRE Programs NF, Pacific Institute for Research and Evaluation, Berkeley, CA, United States.
Liz Lilliott-GonzálezPIRE Programs NF, Pacific Institute for Research and Evaluation-Southwest, Albuquerque, NM, United States.
Marissa EliasPIRE Programs NF, Pacific Institute for Research and Evaluation-Southwest, Albuquerque, NM, United States.
Robert SturmPIRE Programs NF, Pacific Institute for Research and Evaluation-Southwest, Albuquerque, NM, United States.
Christopher L RingwaltPIRE Programs NF, Pacific Institute for Research and Evaluation, Chapel Hill, NC, United States.
Ted R MillerPIRE Programs NF, Pacific Institute for Research and Evaluation, Beltsville, MD, United States.
Elena Cardenas VargasAB InBev Foundation, New York, NY, United States.
Tom AchokiAB InBev Foundation, New York, NY, United States.
Angela RizzoAB InBev Foundation, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Low- and middle-income countries bear disproportionate burdens from excessive alcohol consumption, yet have fewer resources to identify and intervene with risky drinkers. Low-cost screening and brief intervention (SBI) models offer a tool for addressing this health problem and reducing disparities. Methods: In this mixed-methods study, trained pseudo-patients visited health clinics in Zacatecas, Mexico, where a novel SBI model was used with trained nonmedical health educators (HEs) conducting SBI in waiting areas. Pseudo-patients, who provided responses to the AUDIT-C screening items designed to trigger a brief intervention (BI), waited for HEs to engage them in an SBI encounter. Data on HEs' behaviors, SBI components provided, and contextual characteristics were coded from audio recordings of the encounters using an SBI checklist and from pseudo-patient interviews. Results: Quantitative analyses examined the consistency in pseudo-patients' targeted AUDIT-C scores and those documented by HEs as well as the frequency of delivery of SBI components. Across 71 interactions, kappas between HEs' scores and the targeted AUDIT-C scores ranged from 0.33 to 0.45 across AUDIT-C items; it was 0.16 for the total AUDIT-C. In 41% of interactions, the HEs recorded total AUDIT-C scores that accurately reflected the targeted scores, 45% were below, and 14% exceeded them. Analyses of checklist items and transcripts showed that HEs demonstrated desired interpersonal skills (attentive, empathetic, professional) and provided general information regarding risks and recommendations about reducing consumption. In contrast, personalized BI components (exploring pseudo-patients' personal challenges and concerns about reducing drinking; making a plan) occurred much less frequently. Pseudo-patient interviews revealed contextual factors (noise, lack of privacy) that may have negatively affected SBI interactions. Discussion: Using trained nonmedical persons to administer SBI holds promise to increase its reach. However, ongoing training and monitoring, prioritizing comprehensive BIs, eliminating contextual barriers, and electronic delivery of screening may help ensure high quality delivery.

Indexed as

Mass ScreeningAdultAlcohol DrinkingAlcoholismFemaleHumansMaleMexicoMiddle Agedalcoholharmful drinkingimplementationpseudo-patientsscreening and brief intervention

Identifiers

PMID39507670
PMCPMC11538022

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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.