Abstract
package was 0.979, indicating very good reliability, with individual nurse reliability values also being high. Fleiss’s kappa coefficient for the care packages was 0.771, indicating substantial agreement among nurses; it was 0.423 for complexity ratings, indicating moderate agreement. The SCCT can reliably assign patients to the appropriate skilled nurse and care package. It helps prioritise and plan a community nursing caseload, ensuring efficient use of staff time to deliver appropriate care to patients with differing needs.
Original language | English |
---|---|
Pages (from-to) | 362-367 |
Number of pages | 6 |
Journal | British Journal of Community Nursing |
Volume | 24 |
Issue number | 8 |
Early online date | 1 Aug 2019 |
DOIs | |
Publication status | Published - 2 Aug 2019 |
Fingerprint
Cite this
}
The Sheffield Caseload Classification Tool : testing its inter-rater reliability. / Chapman, Helen; Matthews, Rebekah; Farndon, Lisa J.; Stephenson, John; Fowler-Davis, Sally.
In: British Journal of Community Nursing, Vol. 24, No. 8, 02.08.2019, p. 362-367.Research output: Contribution to journal › Article
TY - JOUR
T1 - The Sheffield Caseload Classification Tool
T2 - testing its inter-rater reliability
AU - Chapman, Helen
AU - Matthews, Rebekah
AU - Farndon, Lisa J.
AU - Stephenson, John
AU - Fowler-Davis, Sally
PY - 2019/8/2
Y1 - 2019/8/2
N2 - Community nursing caseloads are vast, with differing complexities. The Sheffield Caseload Classification Tool (SCCT) was co-produced with community nurses and nurse managers to help assign patients on a community caseload according to nursing need and complexity of care. The tool comprises 12 packages of care and three complexities. The present study aimed to test the inter-rater reliability of the tool. This was a table top validation exercise conducted in one city in South Yorkshire. A purposive sample of six community nurses assessed 69 case studies using the tool and assigned a package of care and complexity of need to each. These were compared with pre-determined answers. Cronbach’s alpha for the carepackage was 0.979, indicating very good reliability, with individual nurse reliability values also being high. Fleiss’s kappa coefficient for the care packages was 0.771, indicating substantial agreement among nurses; it was 0.423 for complexity ratings, indicating moderate agreement. The SCCT can reliably assign patients to the appropriate skilled nurse and care package. It helps prioritise and plan a community nursing caseload, ensuring efficient use of staff time to deliver appropriate care to patients with differing needs.
AB - Community nursing caseloads are vast, with differing complexities. The Sheffield Caseload Classification Tool (SCCT) was co-produced with community nurses and nurse managers to help assign patients on a community caseload according to nursing need and complexity of care. The tool comprises 12 packages of care and three complexities. The present study aimed to test the inter-rater reliability of the tool. This was a table top validation exercise conducted in one city in South Yorkshire. A purposive sample of six community nurses assessed 69 case studies using the tool and assigned a package of care and complexity of need to each. These were compared with pre-determined answers. Cronbach’s alpha for the carepackage was 0.979, indicating very good reliability, with individual nurse reliability values also being high. Fleiss’s kappa coefficient for the care packages was 0.771, indicating substantial agreement among nurses; it was 0.423 for complexity ratings, indicating moderate agreement. The SCCT can reliably assign patients to the appropriate skilled nurse and care package. It helps prioritise and plan a community nursing caseload, ensuring efficient use of staff time to deliver appropriate care to patients with differing needs.
KW - Sheffield Caseload Classification Tool
KW - Inter-rater reliability
KW - Community nursing
KW - Caseload management
KW - Equity
UR - http://www.scopus.com/inward/record.url?scp=85071011196&partnerID=8YFLogxK
U2 - 10.12968/bjcn.2019.24.8.362
DO - 10.12968/bjcn.2019.24.8.362
M3 - Article
VL - 24
SP - 362
EP - 367
JO - British Journal of Community Nursing
JF - British Journal of Community Nursing
SN - 1462-4753
IS - 8
ER -