Evidence map›Paper›PMID 42696808›Full record

ArticleJournal of the American Medical Directors Association2026

Geographic Variation of Gabapentinoids and Opioids in US Nursing Homes.

Heeyoon Jung, Jonggyu Baek, Kate L Lapane

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

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

3 authors.

Heeyoon JungDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Jonggyu BaekDivision of Biostatistics and Health Services Research, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Kate L LapaneDivision of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA. Electronic address: kate.lapane@umassmed.edu.

Funding

VARIATIONS IN LIFE'S FINAL CHAPTERP01AG027296 · NIA · BROWN UNIVERSITY · PI AMAL N. TRIVEDI · 2007 to 2026
$38.9M
SYNERGY: The Dartmouth Center for clinical and Translational ScienceUL1TR001086 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$18.3M
Social Connectedness and Social Isolation in Nursing Home ResidentsR01AG071692 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Kate L Lapane · 2021 to 2026
$4.1M
NCATS NIH HHS UL1 TR001086NIA NIH HHS P01 AG027296NIA NIH HHS R01 AG071692
6 · The paper itself

Abstract

objectivesTo examine and quantify geographic variation in gabapentinoids, opioids, and their concurrent use among long-stay nursing home residents in the United States.

designCross-sectional study. SETTING AND

participantsA total of 232,484 long-stay residents aged ≥65 years in 9741 US nursing homes across 300 hospital referral regions (HRRs) in 2021.

methodsWe used Minimum Data Set 3.0 linked to Medicare Parts A and D claims, facility characteristics, and HRR data. Outcomes were gabapentinoid-only use, opioid-only use, and concurrent use. Residents were classified by nursing home state and HRR. Cross-classified multilevel logistic regression models quantified between-HRR and between-state variation. Sequential models estimated the proportional change in variance after adjustment for resident, facility, and HRR characteristics.

resultsThe prevalence of gabapentinoid-only use was 13.4%, opioid-only use was 9.1%, and concurrent use was 5.4%. Geographic variation was substantial, particularly for opioid-only and concurrent use. For opioid-only use, resident characteristics explained 39.1% of HRR-level and 35.3% of state-level variation, with 61.2% and 60.8% explained in fully adjusted models. For concurrent use, resident characteristics explained most variation, accounting for 64.3% of HRR-level and 52.1% of state-level variation, with 65.4% and 62.2% explained after full adjustment. In contrast, gabapentinoid-only use showed smaller geographic variation, with facility characteristics explaining more HRR-level variance than resident factors. CONCLUSIONS AND IMPLICATIONS: Geographic variation exists in gabapentinoids, opioids, and their concurrent use in US nursing homes. Variation in opioid-only and concurrent use largely reflects resident characteristics, whereas gabapentinoid use appears more influenced by facility and regional factors, suggesting differences in prescribing practices beyond clinical need.

Indexed as

Analgesics, OpioidGabapentinNursing HomesCross-Sectional StudiesFemaleHumansMaleNursing Home ResidentsUnited StatesAnalgesics, OpioidGabapentingabapentinoidsMinimum Data Setnursing homeOpioids

Identifiers

PMID42696808
PMCPMC13552222

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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.