The Sheffield Caseload Classification Tool: testing its inter-rater reliability.

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.

Okay to Stay? A new plan to help people with long-term conditions remain in their own homes.

AimsTo assess the 'Okay to Stay' plan to investigate if this reduces visits to emergency departments, unplanned admissions and elective admission to hospital in elderly patients with long-term health conditions. BACKGROUND: The incidence of long-term conditions is rising as the elderly population increases, resulting in more people from this group attending emergency departments and being admitted to hospital. Okay to Stay is a simple plan for people with long-term conditions to help them remain in their own home if they suffer an acute exacerbation in their health. It was co-designed with professional and patient representatives with the aim of empowering patients and their carers to more effectively manage their long-term conditions. METHODS: Data from 50 patients (20 males, 30 females, mean baseline age 77.5 years) were compared 12 months before implementation of the plan and in the subsequent 12 months, with the significance of effects assessed at the 5 per cent significance level using t-tests.FindingsVisits to emergency departments were reduced by 1.86; unplanned emergency admissions were reduced by 1.28 and planned elective admissions were raised by 0.22 admissions per annum. The reduction in visits to the emergency department was significant (p = 0.009) and the reduction in emergency admissions was significant (p = 0.015). The change in elective admissions was not significant (p = 0.855). The Okay to Stay plan is effective in reducing visits to the emergency department and unplanned hospital admissions in people with long-term conditions. This is a positive step to supporting vulnerable and complex patients who are cared for at home, and facilitates the recognition by the individual of the possibility to stay at home with the support of health professionals. There are potential cost benefits to the investment of initiating an Okay to Stay plan through the avoidance of visits to the emergency department and non-elective admissions to hospital.

Developing a caseload classification tool for community nursing.

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.