Evidence map›Paper›PMID 35775233›Full record

ArticleJMIR research protocols2022

Trends in the Prevalence of Chronic Medication Use Among Children in Israel Between 2010 and 2019: Protocol for a Retrospective Cohort Study.

Yair Sadaka, Dana Horwitz, Leor Wolff, Tomer Sela, Joseph Meyerovitch, Assaf Peleg, Eitan Bachmat, Arriel Benis

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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, 0 citations in OpenAlex.

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

8 authors at 5 institutions in 1 country.

Yair Sadaka *Neuro-Developmental Research Centre, Beer Sheva Mental Health Centre, Ministry of Health, Beer Sheva, Israel.ORCID https://orcid.org/0000-0002-4022-4020
Dana Horwitz *Neuro-Developmental Research Centre, Beer Sheva Mental Health Centre, Ministry of Health, Beer Sheva, Israel.ORCID https://orcid.org/0000-0001-9329-0833
Leor WolffOnline and IT Division, Clalit Health Services, Tel-Aviv, Israel.ORCID https://orcid.org/0000-0002-0609-8948
Tomer SelaOnline and IT Division, Clalit Health Services, Tel-Aviv, Israel.ORCID https://orcid.org/0000-0002-8673-3875
Joseph MeyerovitchCommunity Division, Clalit Health Services, Tel-Aviv, Israel.ORCID https://orcid.org/0000-0002-0599-533X
Assaf PelegDepartment of Computer Science, Ben-Gurion University of the Negev, Beer Sheva, Israel.ORCID https://orcid.org/0000-0003-3267-1725
Eitan BachmatDepartment of Computer Science, Ben-Gurion University of the Negev, Beer Sheva, Israel.ORCID https://orcid.org/0000-0001-7153-100X
Arriel Benis *Faculty of Industrial Engineering and Technology Management, Holon Institute of Technology, Holon, Israel.ORCID https://orcid.org/0000-0002-9125-8300
Ben-Gurion University of the Negev · ILClalit Health Services · ILHolon Institute of Technology · ILIsrael Ministry of Health · ILTel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrescription of psychostimulants has significantly increased in most countries worldwide for both preschool and school-aged children. Understanding the trends of chronic medication use among children in different age groups and from different sociodemographic backgrounds is essential. It is essential to distinguish between selected therapy areas to help decision-makers evaluate not only the relevant expected medication costs but also the specific services related to these areas.

objectiveThis study will analyze differences in trends regarding medications considered psychobehavioral treatments and medications considered nonpsychobehavioral treatments and will identify risk factors and predictors for chronic medication use among children.

methodsThis is a retrospective study. Data will be extracted from the Clalit Health Services data warehouse. For each year between 2010 and 2019, there are approximately 1,500,000 children aged 0-18 years. All medication classes will be identified using the Anatomical Therapeutic Chemical code. A time-trend analysis will be performed to investigate if there is a significant difference between the trends of children's psychobehavioral and nonpsychobehavioral medication prescriptions. A logistic regression combined with machine learning models will be developed to identify variables that may increase the risk for specific chronic medication types and identify children likely to get such treatment.

resultsThe project was funded in 2019. Data analysis is currently underway, and the results are expected to be submitted for publication in 2022. Understanding trends regarding medications considered psychobehavioral treatments and medications considered nonpsychobehavioral treatments will support the identification of risk factors and predictors for chronic medication use among children.

conclusionsAnalyzing the response of the patient (and their parents or caregivers) population over time will hopefully help improve policies for prescriptions and follow-up of chronic treatments in children. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/36756.

Indexed as

ADHD, Israelattention deficit hyperactivity disordercentral nervous system stimulantschildrenchronic diseasedata miningdrug prescriptionselectronic medical recordsepidemiologymachine learningmedication therapy managementmental healthpediatricspsychotropic drugs

Identifiers

PMID35775233
PMCPMC9391974
OpenAlexW4283742192

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.