Affiliation:
1. Human Development and Health, Faculty of Medicine University of Southampton Southampton UK
2. Foundation of Nursing Studies London UK
3. Southampton National Institute for Health Research Biomedical Research Centre University Hospital Southampton NHS Foundation Trust Southampton UK
Abstract
AbstractAimsThe number of older people with diabetes requiring care from district nursing teams is increasing. The role of district nursing teams in diabetes management has expanded to involve diagnosis, treatment and medication administration. As the complexity of caseloads increases, the current model is likely unsustainable. This study aims to understand the current diabetes workload of district nursing teams.MethodsAn online survey was distributed via social media and key stakeholder networks to district nursing teams. Survey items were designed by the researchers prior to pilot testing with potential participants. Descriptive statistical and qualitative analyses were conducted. Data are median ± IQR.Results159 district nursing teams completed the survey. The median caseload per team was 300 (IQR 176–407) patients including 21 with diabetes (IQR 14–40; 8.7% (4–20%)). 1.09 home visits per day per person with diabetes lasting 13.8 minutes (excluding travel time) were needed, with most requiring insulin administration. 96% of nursing teams undertake multiple daily visits for some patients. 91% reported workloads relating to diabetes management had increased over the last 2 years; 76% stated current diabetes workloads were unsustainable. More insulin usage, more referrals and a lack of ability or willingness to self‐administer insulin has increased the diabetes workload. Possible solutions include better collaboration between healthcare professionals, simplification of insulin administration and glucose monitoring, better training and upskilling of healthcare assistants and promotion of self‐efficacy.ConclusionsDiabetes management forms an increasing component of district nursing workload and is likely to be unsustainable unless new models are found.
Funder
University of Southampton