Evidence map›Paper›PMID 24349771›Full record

ArticleNursing research and practice2013

Participation in decision making as a property of complex adaptive systems: developing and testing a measure.

Ruth A Anderson, Donde Plowman, Kirsten Corazzini, Pi-Ching Hsieh, Hui Fang Su, Lawrence R Landerman, Reuben R McDaniel

Abstract read
In one paragraph

Article in Nursing research and practice, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. 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

7 authors.

Ruth A AndersonDuke University School of Nursing, DUMC Box 3322, Durham, NC 27710, USA.
Donde PlowmanThe University of Nebraska-Lincoln, College of Business Administration, Lincoln, NE 68508, USA.
Kirsten CorazziniDuke University School of Nursing, DUMC Box 3322, Durham, NC 27710, USA.
Pi-Ching HsiehNational Taipei University of Nursing and Health Sciences, Health and Nursing Service Administration Department, Beitou District, Taipei City 112, Taiwan.
Hui Fang SuNational Taipei University of Nursing and Health Sciences, Health and Nursing Service Administration Department, Beitou District, Taipei City 112, Taiwan.
Lawrence R LandermanDuke University, Center for the Study Aging and Human Development, Durham, NC 27710, USA.
Reuben R McDanielThe University of Texas at Austin, McCombs School of Business, Austin, TX 78705, USA.

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Virginia B Kraus · 2006 to 2026
$24.6M
OUTCOMES OF NURSING MANAGEMENT PRACTICE IN NURSING HOMESR01NR003178 · NINR · UNIVERSITY OF TEXAS AUSTIN · PI ANDERSON, RUTH A, COLON-EMERIC, CATHLEEN S · 1994 to 2015
$5.5M
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 P20 NR007795NINR NIH HHS R01 NR003178
6 · The paper itself

Abstract

Objectives. To (1) describe participation in decision-making as a systems-level property of complex adaptive systems and (2) present empirical evidence of reliability and validity of a corresponding measure. Method. Study 1 was a mail survey of a single respondent (administrators or directors of nursing) in each of 197 nursing homes. Study 2 was a field study using random, proportionally stratified sampling procedure that included 195 organizations with 3,968 respondents. Analysis. In Study 1, we analyzed the data to reduce the number of scale items and establish initial reliability and validity. In Study 2, we strengthened the psychometric test using a large sample. Results. Results demonstrated validity and reliability of the participation in decision-making instrument (PDMI) while measuring participation of workers in two distinct job categories (RNs and CNAs). We established reliability at the organizational level aggregated items scores. We established validity of the multidimensional properties using convergent and discriminant validity and confirmatory factor analysis. Conclusions. Participation in decision making, when modeled as a systems-level property of organization, has multiple dimensions and is more complex than is being traditionally measured. Managers can use this model to form decision teams that maximize the depth and breadth of expertise needed and to foster connection among them.

Identifiers

PMID24349771
PMCPMC3857844

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.