Is medication administration in the elderly influenced by nurses' demographics in South Africa?

elderly medication medication administration medication errors nurses skill mix staffing

Journal

Health SA = SA Gesondheid
ISSN: 2071-9736
Titre abrégé: Health SA
Pays: South Africa
ID NLM: 101213385

Informations de publication

Date de publication:
2022
Historique:
received: 23 07 2021
accepted: 13 01 2022
entrez: 11 4 2022
pubmed: 12 4 2022
medline: 12 4 2022
Statut: epublish

Résumé

Globally, nurses are increasingly employed post-retirement, with task-shifting to nurses with lower competencies, a lack of knowledge being a barrier, all of which could lead to medication errors. To describe the impact of nurses' age, experience, training, and skill mix on the medication administration processes in long-term care facilities (LTCFs). Nurses ( A quantitative non-experimental, cross-sectional descriptive design was used. The LTCFs were divided into funded (state-subsidised) and private (for profit) facilities using a stratified sampling method and each stratum thereafter randomised to obtain equal samples from each stratum. Self-administered questionnaires with close-ended statements were used, and statistical software (SPSS version 27) to perform descriptive and inferential analyses. Respondents, (27%), had more than nine years of experience, with 15.8% aged 61-70 years; and 3.5% aged 71-80 years. Some were 'very inexperienced' in computer use (29.3%), 35% received medication training longer than five years ago, and The aging nursing workforce, although experienced, found the job demands, paperwork, and technology barriers. Outdated training and delegating medication administration to lower categories of nurses can lead to medication errors. This study's findings can serve as a guideline for creating succession plans, recruiting procedures, development, and training of nurses, and improving clinical practices.

Sections du résumé

Background UNASSIGNED
Globally, nurses are increasingly employed post-retirement, with task-shifting to nurses with lower competencies, a lack of knowledge being a barrier, all of which could lead to medication errors.
Aim UNASSIGNED
To describe the impact of nurses' age, experience, training, and skill mix on the medication administration processes in long-term care facilities (LTCFs).
Setting UNASSIGNED
Nurses (
Methods UNASSIGNED
A quantitative non-experimental, cross-sectional descriptive design was used. The LTCFs were divided into funded (state-subsidised) and private (for profit) facilities using a stratified sampling method and each stratum thereafter randomised to obtain equal samples from each stratum. Self-administered questionnaires with close-ended statements were used, and statistical software (SPSS version 27) to perform descriptive and inferential analyses.
Results UNASSIGNED
Respondents, (27%), had more than nine years of experience, with 15.8% aged 61-70 years; and 3.5% aged 71-80 years. Some were 'very inexperienced' in computer use (29.3%), 35% received medication training longer than five years ago, and
Conclusion UNASSIGNED
The aging nursing workforce, although experienced, found the job demands, paperwork, and technology barriers. Outdated training and delegating medication administration to lower categories of nurses can lead to medication errors.
Contribution UNASSIGNED
This study's findings can serve as a guideline for creating succession plans, recruiting procedures, development, and training of nurses, and improving clinical practices.

Identifiants

pubmed: 35399209
doi: 10.4102/hsag.v27i0.1750
pii: HSAG-27-1750
pmc: PMC8991085
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1750

Informations de copyright

© 2022. The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.

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Auteurs

Emerentia C Nicholson (EC)

Department of Nursing and Midwifery, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.

Anneleen Damons (A)

Department of Nursing and Midwifery, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.

Classifications MeSH