Evidence map›Paper›PMID 21702425›Full record

ArticleResearch in gerontological nursing2012

Diffusion of innovations in long-term care measurement battery.

Eleanor S McConnell, Kirsten N Corazzini, Deborah Lekan, Donald E Bailey, Richard Sloane, Lawrence R Landerman, Mary T Champagne

Abstract read
In one paragraph

Article in Research in gerontological nursing, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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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.

Eleanor S McConnellDuke University School of Nursing, Durham, NC, USA. eleanor.mcconnell@duke.edu
Kirsten N Corazzini
Deborah Lekan
Donald E Bailey
Richard Sloane
Lawrence R Landerman
Mary T Champagne

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Virginia B Kraus · 2006 to 2026
$24.6M
Translation CoreP30NR003979 · NINR · UNIVERSITY OF IOWA · PI REIMER, TONI TRIPP · 1994 to 2008
$3.8M
VIRTUAL REALITY INTERVENTION FOR OLDER WOMEN W/ BREAST CANCERP20NR007795 · NINR · DUKE UNIVERSITY · PI ANDERSON, RUTH A · 2001 to 2006
$1.6M
NIA NIH HHS P30 AG028716NINR NIH HHS 1 P20-NR07795-01NINR NIH HHS P20 NR007795NINR NIH HHS P30 NR003979NINR NIH HHS P30-NR03979
6 · The paper itself

Abstract

Poor understanding of factors influencing integration of new practices into long-term care (LTC) hinders timely implementation of evidence-based practices (EBPs). Using the Diffusion of Innovations (DOI) framework, a new instrument measuring staff perceptions of an EBP was developed as part of a DOI-LTC measurement battery and tested in a cross-sectional survey of North Carolina LTC nursing personnel. Valid questionnaires were received from 95 licensed nurses and 102 certified nursing assistants (CNAs). Internal consistency reliability for five of seven subscales was acceptable (Cronbach's alpha coefficient = 0.77 to 0.95). Perception of innovation attributes was associated with intention to adopt the new practice (Spearman rho correlation: licensed nurses = 0.41 to 0.68, p < 0.0001; CNAs = 0.26 to 0.54, p = 0.05 to <0.0001). The DOI-LTC measurement battery represents a promising new approach to studying implementation of EBPs in LTC. Future work should examine its responsiveness to interventions that facilitate implementation of EBPs in LTC.

Indexed as

Diffusion of InnovationNursing HomesCross-Sectional StudiesLong-Term CareNorth CarolinaNursesSurveys and QuestionnairesWorkforce

Identifiers

PMID21702425
PMCPMC3690500

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.