Evidence map›Paper›PMID 25336960›Full record

ArticleSubstance abuse : research and treatment2014

Predictors of Staff Turnover and Turnover Intentions within Addiction Treatment Settings: Change Over Time Matters.

Bryan R Garner, Brooke D Hunter

Abstract read
In one paragraph

Article in Substance abuse : research and treatment, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Effects of Practice Turnover on Primary Care Quality Improvement Implementation.American journal of medical quality : the official journal of the American College of Medical Quality
    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

2 authors.

Bryan R GarnerChestnut Health Systems, Normal, IL, USA.
Brooke D HunterMinnesota Department of Human Services, Saint Paul, MN, USA.

Funding

Reinforcing Therapist PerformanceR01AA017625 · NIAAA · CHESTNUT HEALTH SYSTEMS, INC. · PI GARNER, BRYAN R · 2008 to 2010
$1.3M
Impact, Predictors, and Mediators of Therapist TurnoverR01DA030462 · NIDA · CHESTNUT HEALTH SYSTEMS, INC. · PI GARNER, BRYAN R · 2010 to 2012
$562k
NIAAA NIH HHS R01 AA017625NIDA NIH HHS R01 DA030462
6 · The paper itself

Abstract

This study examined the extent to which changes over time in clinicians' responses to measures of work attitude (eg, job satisfaction) and psychological climate (eg, supervisor support) could predict actual turnover and turnover intentions above and beyond absolute levels of these respective measures. Longitudinal data for this study were collected from a sample of clinicians (N = 96) being trained to implement an evidence-based treatment for adolescent substance use disorders. Supporting findings from a recent staff turnover study, we found job satisfaction change was able to predict actual turnover above and beyond average levels of job satisfaction. Representing new contributions to the staff turnover literature, we also found that change over time in several other key measures (eg, job satisfaction, role manageability, role clarity) explained a significant amount of variance in turnover intentions above and beyond the absolute level of each respective measure. A key implication of the current study is that organizations seeking to improve their ability to assess risk for staff turnover may want to consider assessing staff at multiple points in time in order to identify systematic changes in key employee attitudes like turnover intentions and job satisfaction.

Indexed as

retentionstaffturnoverworkforce

Identifiers

PMID25336960
PMCPMC4196888

What OpenQuestion holds

Textmetadata
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.