Evidence map›Paper›PMID 34022153›Full record

ArticleJournal of the American Medical Directors Association2021

State Variation in Chronic Opioid Use in Long-Term Care Nursing Home Residents.

Hemalkumar B Mehta, Yong-Fang Kuo, Mukaila A Raji, Jordan Westra, Cynthia Boyd, G Caleb Alexander, James S Goodwin

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Geographic Variation of Gabapentinoids and Opioids in US Nursing Homes.Journal of the American Medical Directors Association · 2026
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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

7 authors at 2 institutions in 1 country.

Hemalkumar B MehtaCenter for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: hbmehta@jhu.edu.
Yong-Fang KuoOffice of Biostatistics, Department of Preventive Medicine and Population Health, University of Texas Medical Branch at Galveston, TX, USA.
Mukaila A RajiDepartment of Internal Medicine, University of Texas Medical Branch, Galveston, TX, USA.
Jordan WestraOffice of Biostatistics, Department of Preventive Medicine and Population Health, University of Texas Medical Branch at Galveston, TX, USA.
Cynthia BoydDivision of Geriatric Medicine and Gerontology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
G Caleb AlexanderCenter for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
James S GoodwinDepartment of Internal Medicine, University of Texas Medical Branch, Galveston, TX, USA.
The University of Texas Medical Branch at Galveston · USJohns Hopkins University · US

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
Pattern, Variation and Outcomes of Opioid Prescription in Older AdultsR01DA039192 · NIDA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI KUO, YONG-FANG, RAJI, MUKAILA A · 2016 to 2023
$3.1M
Patient-Centered Care for Older Adults with Multiple Chronic Conditions: Research and Mentoring ProgramK24AG056578 · NIA · JOHNS HOPKINS UNIVERSITY · PI BOYD, CYNTHIA MELINDA · 2017 to 2021
$1.1M
Established Investigator Award in Cancer Prevention & ControlK05CA134923 · NCI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GOODWIN, MD, JAMES S. · 2008 to 2019
$1.0M
NCI NIH HHS K05 CA134923NIA NIH HHS K24 AG056578NIA NIH HHS P30 AG024832NIDA NIH HHS R01 DA039192
6 · The paper itself

Abstract

objectivePolicies and regulations on opioid use have evolved from being primarily state-to federally based. We examined the trends and variation in chronic opioid use among states and nursing homes.

designRetrospective cohort study. SETTING AND

participantsWe used the nursing home Minimum Data Set and Medicare claims from 2014 to 2018 and included long-term care nursing home residents from each year who had at least 120 days of consecutive stay. MEASUREMENTS: Chronic opioid use was defined as use for ≥90 days. Three-level hierarchical logistic regression models (resident, nursing home, state) were constructed to estimate intraclass correlation coefficient (ICC) at the state level and at the nursing home level. The ICC shows the proportion of variation in chronic opioid use that is attributable to states or nursing homes. All models were constructed separately for each calendar year and controlled for resident, nursing home, and state characteristics.

resultsWe included 3,245,714 nursing home stays from 2014 to 2018, representing 1,502,131 unique residents. The stays ranged from 676,413 in 2014 to 594,874 in 2018, with residents contributing a maximum of 1 stay per year. Chronic opioid use among nursing home residents declined from 14.1% in 2014 to 11.4% in 2018. The variation (ICC) in chronic opioid use among states declined from 2.5% in 2014 to 1.7% in 2018. In contrast, the variation (ICC) among nursing homes increased from 5.6% in 2014 to 6.5% in 2018. CONCLUSIONS AND IMPLICATIONS: Variation in chronic opioid use declined by one-third at the state level but not at the nursing home level. National guidelines on opioid use and federal policies on opioid use may have contributed to reducing state-level variation in chronic opioid use.

Indexed as

Analgesics, OpioidLong-Term CareAgedHumansMedicareNursing HomesRetrospective StudiesUnited StatesAnalgesics, OpioidChronic opioid usenursing homesnursing home variationstate variation

Identifiers

PMID34022153
PMCPMC9000974
OpenAlexW3162424291

What OpenQuestion holds

Textmetadata
LicenceTDM
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.