Performance of the Safer Nursing Care Tool to measure nurse staffing requirements in acute hospitals: a multicentre observational study
Performance of the Safer Nursing Care Tool to measure nurse staffing requirements in acute hospitals: a multicentre observational study
Objectives: the best way to determine nurse staffing requirements on hospital wards is unclear. This study explores the precision of estimates of nurse staffing requirements made using the Safer Nursing Care Tool (SNCT) patient classification system for different sample sizes, and investigates whether recommended staff levels correspond with professional judgements of adequate staffing.
Design: observational study linking datasets of staffing requirements (estimated using a tool) to professional judgements of adequate staffing. Multi-level logistic regression modelling.
Setting: 81 medical/surgical units in 4 acute care hospitals
Participants: 22,364 unit days where staffing levels and SNCT ratings were linked to nurse reports of staffing adequacy
Primary outcome measures: SNCT-estimated staffing requirements and nurses’ assessments of staffing adequacy.
Results: the recommended minimum sample of 20 days allowed the required number to employ (the establishment) to be estimated with a mean precision (defined as half the width of the confidence interval as a percentage of the mean) of 4.1%. For most units, much larger samples were required to estimate establishments within +/- 1 whole-time-equivalent staff member. When staffing was lower than that required according to the SNCT, for each hour per patient day of registered nurse staffing below the required staffing level, the odds of nurses reporting that there were enough staff to provide quality care were reduced by 11%. Correspondingly, the odds of nurses reporting that necessary nursing care was left undone were increased by 14%. No threshold indicating an optimal staffing level was observed. Surgical specialty, patient turnover and more single rooms were associated with lower odds of staffing adequacy.
Conclusions: the SNCT can provide reliable estimates of the number of nurses to employ on a unit, but larger samples than the recommended minimum are usually required. The SNCT provides a measure of nursing workload that correlates with professional judgements, but the recommended staffing levels may not be optimal. Some important sources of systematic variations in staffing requirements for some units are not accounted for. SNCT measurements are a potentially useful adjunct to professional judgement, but cannot replace it.
1-11
Griffiths, Peter
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Saville, Christina
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Ball, Jane
85ac7d7a-b21e-42fd-858b-78d263c559c1
Culliford, David
25511573-74d3-422a-b0ee-dfe60f80df87
Pattison, Natalie
f4d061c6-edd9-4296-af5a-d62dbdfbfd3b
Monks, Thomas
fece343c-106d-461d-a1dd-71c1772627ca
Griffiths, Peter
ac7afec1-7d72-4b83-b016-3a43e245265b
Saville, Christina
2c726abd-1604-458c-bc0b-daeef1b084bd
Ball, Jane
85ac7d7a-b21e-42fd-858b-78d263c559c1
Culliford, David
25511573-74d3-422a-b0ee-dfe60f80df87
Pattison, Natalie
f4d061c6-edd9-4296-af5a-d62dbdfbfd3b
Monks, Thomas
fece343c-106d-461d-a1dd-71c1772627ca
Griffiths, Peter, Saville, Christina, Ball, Jane, Culliford, David, Pattison, Natalie and Monks, Thomas
(2020)
Performance of the Safer Nursing Care Tool to measure nurse staffing requirements in acute hospitals: a multicentre observational study.
BMJ Open, 10 (5), , [e035828].
(doi:10.1136/bmjopen-2019-035828).
Abstract
Objectives: the best way to determine nurse staffing requirements on hospital wards is unclear. This study explores the precision of estimates of nurse staffing requirements made using the Safer Nursing Care Tool (SNCT) patient classification system for different sample sizes, and investigates whether recommended staff levels correspond with professional judgements of adequate staffing.
Design: observational study linking datasets of staffing requirements (estimated using a tool) to professional judgements of adequate staffing. Multi-level logistic regression modelling.
Setting: 81 medical/surgical units in 4 acute care hospitals
Participants: 22,364 unit days where staffing levels and SNCT ratings were linked to nurse reports of staffing adequacy
Primary outcome measures: SNCT-estimated staffing requirements and nurses’ assessments of staffing adequacy.
Results: the recommended minimum sample of 20 days allowed the required number to employ (the establishment) to be estimated with a mean precision (defined as half the width of the confidence interval as a percentage of the mean) of 4.1%. For most units, much larger samples were required to estimate establishments within +/- 1 whole-time-equivalent staff member. When staffing was lower than that required according to the SNCT, for each hour per patient day of registered nurse staffing below the required staffing level, the odds of nurses reporting that there were enough staff to provide quality care were reduced by 11%. Correspondingly, the odds of nurses reporting that necessary nursing care was left undone were increased by 14%. No threshold indicating an optimal staffing level was observed. Surgical specialty, patient turnover and more single rooms were associated with lower odds of staffing adequacy.
Conclusions: the SNCT can provide reliable estimates of the number of nurses to employ on a unit, but larger samples than the recommended minimum are usually required. The SNCT provides a measure of nursing workload that correlates with professional judgements, but the recommended staffing levels may not be optimal. Some important sources of systematic variations in staffing requirements for some units are not accounted for. SNCT measurements are a potentially useful adjunct to professional judgement, but cannot replace it.
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Performance of the Safer Nursing Care Tool to measure nurse staffing requirements in acute hospitals a multi-centre observational study
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Accepted/In Press date: 30 March 2020
e-pub ahead of print date: 15 May 2020
Identifiers
Local EPrints ID: 439603
URI: http://eprints.soton.ac.uk/id/eprint/439603
ISSN: 2044-6055
PURE UUID: e8b47a10-ab50-4d2d-884d-bbb82a49fa02
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Date deposited: 28 Apr 2020 16:30
Last modified: 17 Mar 2024 03:46
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