Evidence map›Paper›PMID 26884062›Full record

ArticleThe Gerontologist2017

Development and Validation of A Scheduled Shifts Staffing (ASSiST) Measure of Unit-Level Staffing in Nursing Homes.

Greta G Cummings, Malcolm Doupe, Liane Ginsburg, Margaret J McGregor, Peter G Norton, Carole A Estabrooks

Abstract read
In one paragraph

Article in The Gerontologist, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Organizational Context and Quality Indicators in Nursing Homes: A Microsystem Look.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2024
    Article
  5. 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

6 authors.

Greta G CummingsFaculty of Nursing, University of Alberta, Edmonton, Canada.
Malcolm DoupeDepartment of Community Health Sciences, College of Medicine, Manitoba Centre for Health Policy, Winnipeg, Canada.
Liane GinsburgSchool of Health Policy and Management, York University, Toronto, Canada.
Margaret J McGregorFaculty of Medicine, University of British Columbia, Vancouver, Canada.
Peter G NortonUniversity of Calgary, UCMC North Hill, Alberta, Canada.
Carole A EstabrooksFaculty of Nursing, University of Alberta, Edmonton, Canada.

Funding

CIHR MOP #53107
6 · The paper itself

Abstract

Purpose of the study: To (a) describe A Scheduled Shifts Staffing measure (ASSiST) to derive care aide worked hours per resident day (HCA WHRD) at facility and unit levels in nursing homes, (b) report reliability through comparisons to administrative staffing data; (c) report validity by examining associations between HCA WHRD, staff outcomes (job satisfaction, emotional exhaustion), and resident quality indicators (QIs) (e.g. falls, delirium, stage 2+ pressure ulcers), and (d) explore intrafacility variation in staffing intensity levels related to unit-level variation in resident and staff outcomes. Design and Methods: We used data from 40 care units in 12 Canadian nursing homes between 2007 and 2012. Descriptive statistics and tests of association and difference described relationships of two measures of staffing with resident and staff outcomes. Results: Annualized rates of HCA WHRD from both data sources compared well at the facility level (Pearson Product Correlation; R = 0.847, p < .001), and were correlated similarly to staff work life and many QIs. Using ASSiST data, we show that staffing levels can vary by up to 40% at the unit-level within nursing homes. Implications: ASSiST is easy to collect, more timely to retrieve than administrative data, has good criterion and construct validity, and reflects intrafacility variation in health care aide staffing levels.

Indexed as

Nursing AssistantsPatient Care ManagementCanadaFemaleHumansJob SatisfactionMaleNursing HomesOutcome Assessment, Health CarePersonnel Staffing and SchedulingQuality Indicators, Health CareReproducibility of ResultsRetrospective StudiesAdministrative datasetsJob satisfactionQuality indicatorsStaffing measureWorked Hours per Resident Day

Identifiers

PMID26884062
PMCPMC12768409

What OpenQuestion holds

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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.