Evidence map›Paper›PMID 26260709›Full record

ArticleInternational journal of nursing studies2016

The effects of the Green House nursing home model on ADL function trajectory: A retrospective longitudinal study.

Ju Young Yoon, Roger L Brown, Barbara J Bowers, Siobhan S Sharkey, Susan D Horn

Abstract read
In one paragraph

Article in International journal of nursing studies, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Article
  4. Review
  5. Article
  6. Article
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  8. Review
  9. Observational
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.

Ju Young YoonSchool of Nursing, University of Wisconsin-Madison, Signe Skott Cooper Hall 3117, 701 Highland Avenue, Madison, WI 534792-2455, USA. Electronic address: yoon26@wisc.edu.
Roger L BrownSchool of Nursing, University of Wisconsin-Madison, Signe Skott Cooper Hall 4187, 701 Highland Avenue, Madison, WI 534792-2455, USA. Electronic address: rlbrown3@wisc.edu.
Barbara J BowersSchool of Nursing, University of Wisconsin-Madison, Signe Skott Cooper Hall 5113, 701 Highland Avenue, Madison, WI 534792-2455, USA. Electronic address: bjbowers@wisc.edu.
Siobhan S SharkeyHealth Management Strategies, 9600 Escarpment Blvd, Suite 745-21, Austin, TX 78749, USA. Electronic address: ssharkey@hmstrat.com.
Susan D HornInternational Severity Information Systems/Institute for Clinical Outcomes Research, 699 East South Temple, Suite 300, Salt Lake City, UT 84102-1282, USA. Electronic address: shorn@isisicor.com.

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1TR000427
6 · The paper itself

Abstract

backgroundGrowing attention in the past few decades has focused on improving care quality and quality of life for nursing home residents. Many traditional nursing homes have attempted to transform themselves to become more homelike emphasizing individualized care. This trend is referred to as nursing home culture change in the U.S. A promising culture change nursing home model, the Green House nursing home model, has shown positive psychological outcomes. However, little is known about whether the Green House nursing home model has positive effects on physical function compared to traditional nursing homes.

objectivesTo examine the longitudinal effects of the Green House nursing home model by comparing change patterns of activities of daily living function over time between Green House home residents and traditional nursing home residents.

designA retrospective longitudinal study. SETTINGS: Four Green House organizations (nine Green House units and four traditional units).

participantsA total of 242 residents (93 Green House residents and 149 traditional home residents) who had stayed in the nursing home at least 6 months from admission.

methodsThe outcome was activities of daily living function, and the main independent variable was the facility type in which the resident stayed: a Green House or traditional unit. Age, gender, comorbidity score, cognitive function, and depressive symptoms at baseline were controlled. All of these measures were from a minimum dataset. Growth curve modeling and growth mixture modeling were employed in this study for longitudinal analyses.

resultsThe mean activities of daily living function showed deterioration over time, and the rates of deterioration between Green House and traditional home residents were not different over time. Four different activities of daily living function trajectories were identified for 18 months, but there was no statistical difference in the likelihood of being in one of the four trajectory classes between the two groups.

conclusionsAlthough Green House nursing homes are considered to represent an innovative model changing the nursing home environment into more person-centered, this study did not demonstrate significant differences in activities of daily living function changes for residents in the Green House nursing homes compared to traditional nursing homes. Given that the Green House model continues to evolve as it is being implemented and variations within and across Green House homes are identified, large-scale longitudinal studies are needed to provide further relevant information on the effects of the Green House model.

Indexed as

Activities of Daily LivingLongitudinal StudiesNursing HomesOutcome Assessment, Health CareRetrospective StudiesADLCulture changeGrowth curve modelingNursing homeOutcomePerson-centered care

Identifiers

PMID26260709
PMCPMC4679482

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Registered trials

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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.