Evidence map›Paper›PMID 35464494›Full record

ArticleAdvances in radiation oncology

Posttraumatic Growth in Radiation Medicine During the COVID-19 Outbreak.

Ajay Kapur, Brett Rudin, Louis Potters

Abstract read
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Article in Advances in radiation oncology. 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.

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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

3 authors.

Ajay KapurDepartment of Radiation Medicine, Northwell Health Cancer Institute, Lake Success, New York.
Brett RudinDepartment of Radiation Medicine, Northwell Health Cancer Institute, Lake Success, New York.
Louis PottersDepartment of Radiation Medicine, Northwell Health Cancer Institute, Lake Success, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: It has been reported that adversarial growth during traumatic events potentially enhances coping with sequelae. The purpose of this work was to assess posttraumatic growth (PTG) among radiation medicine staff members at the individual level as well as changes in perceptions of departmental culture after the COVID-19 pandemic. Methods and Materials: An anonymous PTG inventory (PTGI) survey comprising 21 indicators was disseminated to all 213 members of our multicenter radiation department to measure perceptions of change in personal, interpersonal-relationship, and philosophy of life factors using principal-factor analysis. Additionally, 8 department safety-culture indicators from the National Hospital Patient Safety Culture Survey developed by the Agency for Healthcare Research and Quality were included to assess changes in department safety-culture perceptions verses a prepandemic survey. The survey was repeated 15 months later to assess longitudinal trends. Results: With a 56.3% survey-response rate, PTGI factor analysis yielded Cronbach's alpha values exceeding 0.90 for the 3 aforementioned PTG factors. The average growth per indicator was 2.3 (out of 5.0), which fell between small and moderate. The values were 2.4 (personal), 2.1 (interpersonal), and 1.6 (philosophy) for the 3 factors. The total PTGI score (47.7 ± 28.3 out of 105 points) was lower for masked, patient-facing, frontline workers members (41.8 ± 28.4) compared with others (53.1 ± 27.3, Conclusions: A fair-to-moderate degree of PTG was observed in personal and interpersonal relationship factors whereas least growth was noted in spiritual and religious beliefs. Perceptions of department patient-safety culture improved substantially. Sustained improvements were thus perceived at the individual and department levels.

Identifiers

PMID35464494
PMCPMC9014650

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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.