Evidence map›Paper›PMID 40818945›Full record

ArticleBMC geriatrics2025

Nurses' own perceptions of old age and their attitudes towards their older patients: a cross-sectional study.

Ali Rıza Yanar, Dilek Çeçen Çamli

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ali Rıza YanarFaculty of Medicine, Manisa Celal Bayar University, Hafsa Sultan Hospital, Manisa, Türkiye.
Dilek Çeçen ÇamliFaculty of Health Sciences Surgical Nursing Department, Manisa Celal Bayar University, Manisa, Türkiye. dilek.cecen@cbu.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backroundThis study aimed to examine the perceptions of nurses who work in surgical units about old age and their attitudes towards the older patients they care for.

methodsThe cross-sectional study was conducted with nurses (n = 202) who worked in surgical units in a university hospital located in western Turkiye. The data were collected using a Nurse Information Form, Attitude Scale Towards Ageing and Elderliness (ASAE), and Kogan's Attitudes Towards Old People Scale (KAOPS).

resultsThe mean age of the nurses was 31.41 ± 6.13 years, with 57.9% being 31 years of age or younger. Among the participants, 63.9% were female, 61.4% were married, and 74.7% held a bachelor's degree. The mean score of the Kogan's Attitudes Toward Older People Scale (KAOPS) was 96.53 ± 12.90. The mean total score of the Attitude Scale Towards Ageing and Elderliness (ASAE) was 145.55 ± 24.73. Sub-dimension scores of the ASAE were as follows: difficulty in accepting old age, 38.71 ± 8.25; perception of social wear-out, 46.71 ± 8.14; difficulty in coping with life, 35.03 ± 6.74; and negative image, 25.08 ± 4.49. A statistically significant difference was found between nurses' age and their scores on the "difficulty in accepting old age" subscale (p < 0.05). Additionally, surgical nurses living in nuclear families had significantly higher KAOPS scores compared to those living with roommates or extended families (p < 0.05).

conclusionIt was determined that nurses' views on old age and aging affect their attitudes towards the older patients. It was observed that nurses' views on old age and aging were negative, but their attitudes towards the older patients were positive.

Indexed as

AgingAttitude of Health PersonnelNurse-Patient RelationsNursesPerceptionAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedTurkeyYoung AdultAgingNursingOlder patients

Identifiers

PMID40818945
PMCPMC12357426

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.