Evidence map›Paper›PMID 32791286›Full record

ArticleDrug and alcohol dependence2020

Validation of secondary data sources for enumerating marijuana dispensaries in a state commercializing marijuana.

Yiwen Cao, Angelina S Carrillo, Marta M Jankowska, Yuyan Shi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

4 authors.

Yiwen CaoDepartment of Family Medicine and Public Health, University of California San Diego, CA, USA.
Angelina S CarrilloDepartment of Family Medicine and Public Health, University of California San Diego, CA, USA.
Marta M JankowskaQualcomm Institute/Calit2, University of California San Diego, CA, USA.
Yuyan ShiDepartment of Family Medicine and Public Health, University of California San Diego, CA, USA. Electronic address: yus001@ucsd.edu.

Funding

Neighborhood Physical, Economic, and Socioeconomic Environment In Relation to Marijuana Use and DisorderR01DA042290 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHI, YUYAN · 2017 to 2020
$2.6M
NIDA NIH HHS R01 DA042290
6 · The paper itself

Abstract

objectivesTo assess 1) the validity of online crowdsourcing platforms in enumerating licensed brick-and-mortar marijuana dispensaries and 2) the validity of state licensing directory and online crowdsourcing platforms in enumerating active brick-and-mortar marijuana dispensaries in California.

methodsWe obtained business lists from California Bureau of Cannabis Control (BCC) licensing directory and three online crowdsourcing platforms (Weedmaps, Leafly, and Yelp) in May 2019. Calls were made to verify street address, operation status, dispensary category (recreational-only, medical-only, recreational & medical), and presence of storefronts in May-July 2019. Validity measures, including sensitivity, specificity, positive predictive value, and negative predictive value, were calculated when applicable.

resultsIn identifying licensed dispensaries in BCC, Leafly had the highest sensitivity (.66) and Yelp had the highest specificity (.87). The dispensary category posted on online crowdsourcing platforms in over 25 % licensed dispensaries and the dispensary category claimed in call verification in over 10 % licensed dispensaries disagreed with the approved category in BCC. There were 2121 businesses combined from BCC and online crowdsourcing platforms, among which 826 were verified to be active brick-and-mortar dispensaries. Weedmaps had the highest sensitivity (.80) and Yelp had the highest negative predictive value (.74) in identifying verified dispensaries. Weedmaps overall had the highest sensitivity in all three dispensary categories. Weedmaps had the highest sensitivity in more populated counties whereas BCC had the highest sensitivity in less populated counties.

conclusionsEach secondary data source has strengths and limitations. The findings inform surveillance and research regarding how to best strategize data use when resources are limited.

Indexed as

CannabisCommerceHallucinogensHumansInformation Storage and RetrievalMedical MarijuanaHallucinogensMedical MarijuanaBrick-and-mortar outletsCrowdsourcingMarijuana commercializationMarijuana dispensariesSensitivity and specificity

Identifiers

PMID32791286
PMCPMC7502490

What OpenQuestion holds

Textmetadata
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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.