Evidence map›Paper›PMID 36939951›Full record

ArticleMaternal and child health journal2023

Outpatient Opioid Dispensing Patterns for SC Medicaid Children 1-36 Months Old.

Laksika Banu M Sivaraj, William T Basco, Smith F Heavner, Snehal S Lopes, Laura J Rolke, Lu Shi, Khoa Truong

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Article in Maternal and child health journal, 2023. 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

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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

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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.

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4 · The record

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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.

Laksika Banu M SivarajDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
William T BascoDepartment of Pediatrics, The Medical University of South Carolina, Charleston, SC, USA.
Smith F HeavnerDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Snehal S LopesDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Laura J RolkeDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Lu ShiDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Khoa TruongDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA. ktruong@clemson.edu.ORCID http://orcid.org/0000-0002-8996-4126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe sought to identify the most common diagnostic categories linked to dispensed opioid prescriptions among children 1-36 months old and changes in patterns over the years 2000 to 2017.

methodsThis study used South Carolina's Medicaid claims data of pediatric dispensed outpatient opioid prescriptions between 2000 and 2017. The major opioid-related diagnostic category (indication) for each prescription was identified using visit primary diagnoses and the Clinical Classification System (AHRQ-CCS) software. The variables of interest were the rate of opioid prescriptions per 1,000 visits for each diagnostic category and the relative percentage of opioid prescriptions assigned to each category compared to all categories.

resultsSix major diagnostic categories were identified; Diseases of the respiratory system (RESP), Congenital anomalies (CONG), Injury (INJURY), Diseases of the nervous system and sense organs (NEURO), Diseases of the digestive system (GI), and Diseases of the genitourinary system (GU). The overall rate of dispensed opioid prescriptions per category declined significantly for four diagnostic categories throughout the study period, RESP by 15.13, INJURY by 8.49, NEURO by 7.33, and GI by 5.93. Two categories increased during the same time, CONG (by 9.47) and GU (by 6.98). RESP was the most prevalent category linked to a dispensed opioid prescription within 2010-2012 (almost 25%) but CONG was the most prevalent by 2014 (17.77%). CONCLUSIONS FOR PRACTICE: Among Medicaid children 1-36 months old, annual dispensed opioid prescription rates declined for most major diagnostic categories (RESP, INJURY, NEURO, and GI). Future studies should explore alternatives to current opioid dispensing practices for GU and CONG cases.

Indexed as

Analgesics, OpioidMedicaidChildChild, PreschoolDrug PrescriptionsHumansInfantOutpatientsPractice Patterns, Physicians'United StatesAnalgesics, OpioidClinical Classifications SoftwareMedicaidPrescription opioidsYoung children

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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.