553
Views
0
CrossRef citations to date
0
Altmetric
Articles

Identification of nursing students’ attitudes toward older people

ORCID Icon, &
Pages 284-292 | Received 20 May 2016, Accepted 29 Jun 2018, Published online: 21 Jul 2018
 

Abstract

Objectives: The present study aims to identify nursing students’ attitudes toward older people.

Methods: This descriptive study was conducted with 166 nursing department students enrolled in a four-year undergraduate programme in a university located in Eastern Turkey. The participants were chosen using convenience sampling method, and data were collected through the Descriptive Characteristics Form and Turkish version of Kogan’s Attitudes toward Older People Scale (KAOPS).

Results: It was found that the students participating in the study had positive attitudes toward older people, and the mean scores of those who wanted to work with older people after graduation were significantly high (p < 0.05). Scale mean scores according to receiving gerontology nursing course showed that there were no significant differences between the groups who received gerontology nursing course and who did not.

Conclusions: This study found that nursing students’ attitudes toward older people were positive. Cultural features of the region where the study was conducted are considered to have effects on this result.

Impact statement: As nursing students will provide care to older people in the future, it is important to know and assess their attitudes towards the older.

ORCID

Ayse Berivan Bakan http://orcid.org/0000-0002-0052-9890

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 601.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.