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End-of-life (EoL) care is an important role in community nursing. In order to assess a community nursing team's performance in the delivery of EoL care, an evaluation of the EoL care template was undertaken from electronic patient records. Records were assessed against a set of four care priorities across 23 nursing teams in a large acute/community trust. Some 103 electronic patient records were evaluated out of a convenience sample of 110 (94% response rate). The results demonstrated that patients' wishes are being discussed and documented and the priorities of care are being considered with patients needing EoL care. Thus, patients and their families are being supported by the community nursing service, which is communicating with them sensitively and involving patients in the decision-making process. In some cases, the EoL Care Template was not fully completed, which would result in poorer communication across teams and organisations of practice within the wider community. Future action will be focused on continuing to encourage and improve the use of the EoL care template as well as the local online e-learning package for EoL care.

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 care 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.

Diabetes is a common long-term condition affecting many people many of whom require support with their insulin injections at home. These injections are often carried out by community nurses if individuals are unable to self-manage their condition. This paper describes a pilot project where health care support workers were trained to administer insulin at home for suitable patients. Four patients took part in the pilot study and two support workers were trained to give the insulin injections. The project was evaluated well by all those who took part. It freed up 80 hours of nursing time while also providing the support workers with an extended scope of practice and associated increased in job satisfaction. No untoward medication errors were reported as a result of this initiative. This project will now be rolled out to the wider nursing teams with a staggered approach to the delivery of the training to ensure there is not a detrimental effect on patient care.

Acuity and dependency in the community nursing caseload in combination with safe staffing levels are a national issue of concern. Current evidence suggests that there are no clear approaches to determining staff capacity and skill mix in these community settings. As community nursing caseloads are large with differing complexities, there is a need to allocate community nursing with the best skill mix to achieve the best patient outcomes. A city-wide service improvement initiative developed a tool to classify and categorise patient demand and this was linked to an electronic patient record system. The aim was to formulate an effective management response to different levels of acuity and dependency within community nursing teams and a consensus approach was used to allow the definition of complexity for twelve packages of care. The tool was piloted by a group of community nurses to assess the validity as a method to achieve a caseload classification. Seventy nurses were trained and applied the tool to 3000 patient referrals. Based on this, standards of care were agreed including expectations of assessment, intervention, visit length and frequency. Community nursing caseloads can now be organised according to acuity and complexity of patient need, which determines allocation of staff and skill mix.