Evidence map›Paper›PMID 36817214›Full record

ArticleJournal of Taibah University Medical Sciences2023

Internet search patterns for psychoactive substance use prevention and treatment in Mexico: A cross-sectional study.

Yessica Parissi-Poumian, Xóchitl de San Jorge-Cárdenas, Maricela López-Ornelas, Javier López-Zetina, Manuel S Luzanía-Valerio, María L Mota-Morales, María C Ortiz-León

Abstract read
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

7 authors.

Yessica Parissi-PoumianInstitute of Public Health, Veracruzana University, Xalapa, Veracruz, Mexico.
Xóchitl de San Jorge-CárdenasInstitute of Health Sciences, Veracruzana University, Xalapa, Veracruz, Mexico.
Maricela López-OrnelasInstitute of Educational Research and Development, Universidad Autónoma de Baja California, Ensenada, Baja California, Mexico.
Javier López-ZetinaDepartment of Health Science, California State University, Long Beach, CA, USA.
Manuel S Luzanía-ValerioInstitute of Public Health, Veracruzana University, Xalapa, Veracruz, Mexico.
María L Mota-MoralesInstitute of Public Health, Veracruzana University, Xalapa, Veracruz, Mexico.
María C Ortiz-LeónInstitute of Public Health, Veracruzana University, Xalapa, Veracruz, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study was aimed at describing the patterns of searches for information on the prevention and treatment of psychoactive drug use in Mexico, among both the general population and the personnel dedicated to the prevention and treatment of this type of substance use in Mexico. Methods: An exploratory cross-sectional quantitative study was performed with a validated online questionnaire to collect sociodemographic information, background information and self-reported internet search patterns on psychoactive substance use prevention. A chi-square test was used to identify differences between groups, and a classification tree was used to analyze the search patterns. The combinations of the search criteria with the search topics were entered into Google Trends to validate the information. Results: The participants (n = 544 adults) were mostly women (65%), 18-30 years of age and bachelor's degree holders (57%). A total of 32% were students, 59% searched the Internet for drug use prevention or treatment, and 12% professionally engaged in drug use prevention or treatment. Conclusions: Statistically significant differences were found between the general population and professionals dedicated to drug dependency services. We identified six search patterns used in the decision-making process by people seeking information on drug prevention and treatment on the Internet. These patterns were graphically visualized with a classification tree, although, this method did not allow clear differentiation of patterns between groups. The search patterns were successfully validated with Google trends.

Indexed as

DrugInformation seeking behaviorInternetMexicoTherapeutics

Identifiers

PMID36817214
PMCPMC9926113

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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.