Evidence map›Paper›PMID 31281113›Full record

ArticleJournal of the American Medical Directors Association2019

Nursing Home Star Ratings and New Onset of Depression in Long-Stay Nursing Home Residents.

Yiyang Yuan, Kate L Lapane, Jonggyu Baek, Bill M Jesdale, Christine M Ulbricht

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Medical Directors Association, 2019. 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
2.7field-weighted citation impact, top 9% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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 1 institution in 1 country.

Yiyang YuanClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA; Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA. Electronic address: yiyang.yuan@umassmed.edu.
Kate L LapaneClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA.
Jonggyu BaekClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA.
Bill M JesdaleClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA.
Christine M UlbrichtClinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, MA.
University of Massachusetts Chan Medical School · US

Funding

Variations in nursing home residents' depression by level of cognitive impairmentR21AG056965 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI ULBRICHT, CHRISTINE MARIE · 2017 to 2018
$461k
NIA NIH HHS R21 AG056965
6 · The paper itself

Abstract

objectivesTo examine the association between nursing home (NH) quality and new onset of depression and severity of depressive symptoms in a national cohort of long-stay NH residents in the United States.

designCohort study. SETTING AND

participants129,837 long-stay residents without indicators of depression admitted to 13,921 NHs.

methodsNH quality was measured by Nursing Home Compare star ratings (overall, health inspection, staffing, quality measures) closest to admission. Study outcomes at 90 days from the Minimum Data Set 3.0 included depression diagnosis and severity of depressive symptoms (minimal; mild; moderate; moderately severe/severe). Symptoms were measured by resident self-report Patient Health Questionnaire (PHQ-9) or a staff-report observational version (PHQ-9-OV). Logistic and multinomial logistic models with generalized estimating equations were used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs).

resultsAt 90 days postadmission, 14.1% of residents had a new diagnosis of depression, and odds did not differ across star ratings. Nearly 90% of these residents had minimal depressive symptoms, with only 8.5% reporting mild symptoms and 2.6% with moderate to severe symptoms. Using minimal depressive symptoms as the reference, residents in NHs with 5-star overall ratings were 12% less likely than those in 3-star NHs to experience mild (95% CI: 0.81-0.96) and 31% less likely to experience moderate symptoms (95% CI: 0.58-0.82). In NHs with 1-star staffing compared to 3-star, residents had 37% higher odds of moderate symptoms (95% CI: 1.14-1.64) and 57% higher odds of moderately severe to severe depressive symptoms (95% CI: 1.17-2.12). The odds of any above-minimal depressive symptoms decreased as quality measure ratings increased. CONCLUSIONS/IMPLICATIONS: Lower NH quality ratings were associated with more severe depressive symptoms. Further investigation is warranted to identify potential mechanisms for a targeted intervention to improve quality and provide more equitable care.

Indexed as

DepressionAgedAged, 80 and overCohort StudiesFemaleHumansLogistic ModelsMaleMiddle AgedNursing HomesQuality of Health CareSelf ReportUnited Statesdepressiondepressive symptomslong-stay nursing home residentsNursing home star ratingquality of care

Identifiers

PMID31281113
PMCPMC6768694
OpenAlexW2953883077

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.