Evidence map›Paper›PMID 33724193›Full record

ArticleJournal of medical Internet research2021

Trends and Characteristics of the US Adult Population's Behavioral Patterns in Web-Based Prescription Filling: National Survey Study.

Lin-Ya Yang, Jennifer G Lyons, Steven R Erickson, Chung-Hsuen Wu

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Lin-Ya YangSchool of Pharmacy, College of Pharmacy, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0001-9870-1689
Jennifer G LyonsDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.ORCID 0000-0002-5224-0298
Steven R EricksonDepartment of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-1855-3645
Chung-Hsuen WuSchool of Pharmacy, College of Pharmacy, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0003-0495-1922
Taipei Medical University · TWHarvard University · USUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFilling a prescription on the web has become an alternative to in-person pharmacies for individuals to access their medications. However, the adoption of web-based filling has been gradual, and the use patterns remain to be unclear.

objectiveThis study aims to estimate the trend and prevalence of web-based prescription-filling behavior and identify associated factors among adults in the United States.

methodsWe used data from the US National Health Interview Survey (NHIS) from 2009 to 2018. Adult respondents (aged ≥18 years and over) self-reported their behavior of web-based prescription filling, which was defined as having filled a prescription using the internet in the past 12 months during the survey year. We reported trends using weighted percentages adjusted by the NHIS complex sampling design. We used descriptive statistics and multivariable logistic regression models to examine trends and identify factors associated with web-based prescription-filling behavior.

resultsThe estimated number of adults reporting web-based prescription-filling behavior significantly increased from 13,319,877 (13,319,877/225,217,942, 5.91%) in 2009 to 28,308,262 (28,308,262/246,611,125, 11.48%) in 2018 (P<.001). Those who were more likely to report filling a prescription on the web were aged between 35 and 74 years, female, White, and frequent users of the computer or internet; these adults also reported higher education, higher income, insurance coverage, and poorer health status.

conclusionsWeb-based prescription-filling behavior among US adults has increased significantly from 2009 to 2018. Health care providers should be aware of the upward trend in the use of web-based pharmacies and ensure the clinical safety of web-based prescriptions.

Indexed as

PharmaciesAdolescentAdultAgedDrug PrescriptionsFemaleHumansInternetLogistic ModelsMiddle AgedPrevalenceUnited StatesinternetNational Health Interview Surveyonline pharmacyprescriptiontrend

Identifiers

PMID33724193
PMCPMC8074868
OpenAlexW3128465380

What OpenQuestion holds

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LicenceCC BY
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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.