Evidence map›Paper›PMID 38381481›Full record

ArticleJMIR public health and surveillance2024

Impact of the Narcotics Information Management System on Opioid Use Among Outpatients With Musculoskeletal and Connective Tissue Disorders: Quasi-Experimental Study Using Interrupted Time Series.

Iyn-Hyang Lee, So Young Kim, Susin Park, Jae Gon Ryu, Nam Kyung Je

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 4 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

5 authors at 5 institutions in 1 country.

Iyn-Hyang Lee *College of Pharmacy, Yeungnam University, Gyeongsan, Republic of Korea.ORCID 0000-0001-6644-0808
So Young Kim *Department of Pharmacy, Kosin University Gospel Hospital, Busan, Republic of Korea.ORCID 0009-0009-8145-7048
Susin ParkCollege of Pharmacy, Woosuk University, Wanju, Republic of Korea.ORCID 0000-0001-7016-5124
Jae Gon RyuDepartment of Pharmacy, Sungkyunkwan University Samsung Changwon Hospital, Changwon, Republic of Korea.ORCID 0009-0005-9633-480X
Nam Kyung JeCollege of Pharmacy, Pusan National University, Busan, Republic of Korea.ORCID 0000-0002-0299-5131
Kosin University Gospel Hospital · KRPusan National University · KRSungkyunkwan University · KRWoosuk University · KRYeungnam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOpioids have traditionally been used to manage acute or terminal pain. However, their prolonged use has the potential for abuse, misuse, and addiction. South Korea introduced a new health care IT system named the Narcotics Information Management System (NIMS) with the objective of managing all aspects of opioid use, including manufacturing, distribution, sales, disposal, etc.

objectiveThis study aimed to assess the impact of NIMS on opioid use.

methodsWe conducted an analysis using national claims data from 45,582 patients diagnosed with musculoskeletal and connective tissue disorders between 2016 and 2020. Our approach included using an interrupted time-series analysis and constructing segmented regression models. Within these models, we considered the primary intervention to be the implementation of NIMS, while we treated the COVID-19 outbreak as the secondary event. To comprehensively assess inappropriate opioid use, we examined 4 key indicators, as established in previous studies: (1) the proportion of patients on high-dose opioid treatment, (2) the proportion of patients receiving opioid prescriptions from multiple providers, (3) the overlap rate of opioid prescriptions per patient, and (4) the naloxone use rate among opioid users.

resultsDuring the study period, there was a general trend of increasing opioid use. After the implementation of NIMS, significant increases were observed in the trend of the proportion of patients on high-dose opioid treatment (coefficient=0.0271; P=.01) and in the level of the proportion of patients receiving opioid prescriptions from multiple providers (coefficient=0.6252; P=.004). An abrupt decline was seen in the level of the naloxone use rate among opioid users (coefficient=-0.2968; P=.04). While these changes were statistically significant, their clinical significance appears to be minor. No significant changes were observed after both the implementation of NIMS and the COVID-19 outbreak.

conclusionsThis study suggests that, in its current form, the NIMS may not have brought significant improvements to the identified indicators of opioid overuse and misuse. Additionally, the COVID-19 outbreak exhibited no significant influence on opioid use patterns. The absence of real-time monitoring feature within the NIMS could be a key contributing factor. Further exploration and enhancements are needed to maximize the NIMS' impact on curbing inappropriate opioid use.

Indexed as

COVID-19Opioid-Related DisordersAnalgesics, OpioidConnective TissueHumansInformation ManagementInterrupted Time Series AnalysisNaloxoneNarcoticsOutpatientsAnalgesics, OpioidNaloxoneNarcoticsaddictionchronic noncancer painmonitoringmortality ratenarcoticsNarcotics Information Management SystemNIMSopioidopioid misuseopioid prescriptionoverdosepreventionterminal paintime seriesweb-based system

Identifiers

PMID38381481
PMCPMC10918548
OpenAlexW4390653065

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.