Evidence map›Paper›PMID 34311619›Full record

ArticleMedical care research and review : MCRR2022

The Role of Schedule Volatility in Home Health Nursing Turnover.

Alon Bergman, Hummy Song, Guy David, Joanne Spetz, Molly Candon

Abstract read
In one paragraph

Article in Medical care research and review : MCRR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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

10 citing papers in PubMed.

  1. Nurses' Transitions Into and Out of the Home Health Sector.Medical care research and review : MCRR · 2026
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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

5 authors.

Alon BergmanUniversity of Pennsylvania, Philadelphia, PA, USA.
Hummy SongUniversity of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-1335-9314
Guy DavidUniversity of Pennsylvania, Philadelphia, PA, USA.
Joanne SpetzUniversity of California, San Francisco, CA, USA.ORCID 0000-0003-3112-5511
Molly CandonUniversity of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-8312-951X

Funding

STATISTICAL DATA ENCLAVE COREP30AG012836 · NIA · UNIVERSITY OF PENNSYLVANIA · PI KOHLER, HANS-PETER · 1999 to 2024
$14.0M
Postdoctoral Training in Health Services ResearchT32HS026116 · AHRQ · UNIVERSITY OF PENNSYLVANIA · PI GROENEVELD, PETER W., WERNER, RACHEL M · 2018 to 2024
$3.8M
Training in Healthcare Financing, Organization and Delivery for Aging PopulationsT32AG051090 · NIA · UNIVERSITY OF PENNSYLVANIA · PI PAULY, MARK, WERNER, RACHEL M · 2015 to 2019
$652k
AHRQ HHS T32 HS026116NIA NIH HHS P30 AG012836NIA NIH HHS T32 AG051090
6 · The paper itself

Abstract

Despite considerable research on nursing turnover, few studies have considered turnover among nurses working in home health care. Using novel administrative data from one of the largest home health care organizations in the United States, this study examined turnover among home health nurses, focusing on the role of schedule volatility. We estimated separation rates among full-time and part-time registered nurses and licensed practical nurses and used daily visit logs to estimate schedule volatility, which was defined as the coefficient of variation of the number of daily visits in the prior four weeks. Between 2016 and 2019, the average annual separation rate of home health nurses was over 30%, with most separations occurring voluntarily. Schedule volatility and turnover were positively associated for full-time nurses, but not for part-time nurses. These results suggest that reducing schedule volatility for full-time nurses could mitigate nursing turnover in home health care.

Indexed as

Home Health NursingLicensed Practical NursesHumansNursing HomesPersonnel Staffing and SchedulingPersonnel TurnoverUnited StatesHome healthnursingschedulingstaffingturnover

Identifiers

PMID34311619
PMCPMC9122113

What OpenQuestion holds

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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.