Evidence map›Paper›PMID 34136659›Full record

ArticleHealth science reports2021

How to ask: Surveying nursing directors of nursing homes.

Jessica A R Williams, Mary G Vriniotis, Daniel A Gundersen, Leslie I Boden, Jamie E Collins, Jeffrey N Katz, Gregory R Wagner, Glorian Sorensen

Abstract read
In one paragraph

Article in Health science reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Can Better Leadership Reduce Nursing Home Staff Turnover?Journal of the American Medical Directors Association · 2024
    Article
  5. Workplace Integrated Safety and Health Program Uptake in Nursing Homes: Associations with Ownership.International journal of environmental research and public health · 2021
    Article
  6. Article
  7. 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

8 authors.

Jessica A R WilliamsPopulation Health University of Kansas School of Medicine Kansas Kansas.ORCID https://orcid.org/0000-0002-8195-1355
Mary G VriniotisCenter for Community-Based Research Dana-Farber Cancer Institute Boston Massachusetts.
Daniel A GundersenSurvey and Qualitative Methods Core Dana-Farber Cancer Institute Boston Massachusetts.
Leslie I BodenEnvironmental Health Boston University School of Public Health Boston Massachusetts.
Jamie E CollinsOrthopedic Surgery Brigham and Women's Hospital, Harvard Medical School Boston Massachusetts.
Jeffrey N KatzOrthopedic Surgery Brigham and Women's Hospital, Harvard Medical School Boston Massachusetts.
Gregory R WagnerEnvironmental Health Harvard T.H. Chan School of Public Health Boston Massachusetts.
Glorian SorensenCenter for Community-Based Research Dana-Farber Cancer Institute Boston Massachusetts.

Funding

NIOSH CDC HHS U19 OH008861
6 · The paper itself

Abstract

BACKGROUND AND

aimsNursing home research may involve eliciting information from managers, yet response rates for Directors of Nursing have not been recently studied. As a part of a more extensive study, we surveyed all nursing homes in three states in 2018 and 2019, updating how to survey these leaders effectively. We focus on response rates as a measure of non-response error and comparison of nursing home's characteristics to their population values as a measure of representation error.

methodsWe surveyed Directors of Nursing or their designees in nursing homes serving adult residents with at least 30 beds in California, Massachusetts, and Ohio (N = 2389). We collected contact information for respondents and then emailed survey invitations and links, followed by three email reminders and a paper version. Nursing home associations in two of the states contacted their members on our behalf. We compared the response rates across waves and states. We also compared the characteristics of nursing homes based on whether the response was via email or paper. In a multivariable logit regression, we used characteristics of the survey and the nursing homes to predict whether their DON responded to the survey using adjustments for multiple comparisons.

resultsThe response rate was higher for the first wave than for the second (30% vs 20.5%). The highest response rate was in Massachusetts (31.8%), followed by Ohio (25.8%) and California (19.5%). Nursing home characteristics did not vary by response mode. Additionally, we did not find any statistically significant predictors of whether a nursing home responded.

conclusionA single-mode survey may provide a reasonably representative sample at the cost of sample size. With that said, however, switching modes can increase sample size without potentially biasing the sample.

Indexed as

non‐respondentsnursing administration researchnursing homesoccupational healthsurvey methodology

Identifiers

PMID34136659
PMCPMC8177897

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.