Article Text

Download PDFPDF

Hospital nurse staffing and staff–patient interactions: an observational study
  1. Jackie Bridges1,2,
  2. Peter Griffiths1,2,
  3. Emily Oliver1,2,
  4. Ruth M Pickering3
  1. 1 School of Health Sciences, University of Southampton, Southampton, UK
  2. 2 NIHR Collaboration for Leadership in Applied Health Research and Care for Wessex, Southampton, UK
  3. 3 Primary Care and Population Sciences, University of Southampton, Southampton, UK
  1. Correspondence to Professor Jackie Bridges, School of Health Sciences, University of Southampton, Southampton SO17 1BJ, UK; jackie.bridges{at}soton.ac.uk

Abstract

Background Existing evidence indicates that reducing nurse staffing and/or skill mix adversely affects care quality. Nursing shortages may lead managers to dilute nursing team skill mix, substituting assistant personnel for registered nurses (RNs). However, no previous studies have described the relationship between nurse staffing and staff–patient interactions.

Setting Six wards at two English National Health Service hospitals.

Methods We observed 238 hours of care (n=270 patients). Staff–patient interactions were rated using the Quality of Interactions Schedule. RN, healthcare assistant (HCA) and patient numbers were used to calculate patient-to-staff ratios. Multilevel regression models explored the association between staffing levels, skill mix and the chance of an interaction being rated as ‘negative’ quality, rate at which patients experienced interactions and total amount of time patients spent interacting with staff per observed hour.

Results 10% of the 3076 observed interactions were rated as negative. The odds of a negative interaction increased significantly as the number of patients per RN increased (p=0.035, OR of 2.82 for ≥8 patients/RN compared with >6 to <8 patients/RN). A similar pattern was observed for HCA staffing but the relationship was not significant (p=0.056). When RN staffing was low, the odds of a negative interaction increased with higher HCA staffing. Rate of interactions per patient hour, but not total amount of interaction time, was related to RN and HCA staffing levels.

Conclusion Low RN staffing levels are associated with changes in quality and quantity of staff–patient interactions. When RN staffing is low, increases in assistant staff levels are not associated with improved quality of staff–patient interactions. Beneficial effects from adding assistant staff are likely to be dependent on having sufficient RNs to supervise, limiting the scope for substitution.

  • health services research
  • nurses
  • patient-centred care

This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

Statistics from Altmetric.com

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Footnotes

  • JB and PG are joint first authors.

  • Contributors See Bridges et al (2018) (pp 107–110) for full account of wider research team contributions.

  • Funding This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme (project number 13/07/48) and NIHR Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Wessex. The views and opinions expressed therein are those of the authors and do not necessarily reflect those of NIHR, NHS or the Department of Health and Social Care.

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Ethics approval Ethical approval for the study was granted by the Social Care Research Ethics Committee for England: study reference number 14/SC/1313.

  • Provenance and peer review Not commissioned; externally peer reviewed.