Integrated care teams in primary care improve clinical outcomes and care processes in patients with non-communicable diseases.

Introduction: Primary care physicians face the increasing burden of managing multimorbidities in an ageing population. Implementing an integrated care team (ICT) with defined roles and accountability to share consultation tasks is an emerging care model to address this issue. This study compared outcomes with ICT versus usual care for patients with multimorbidities in primary care. Methods: Data was retrospectively extracted from the electronic medical records (EMRs) of consecutive adult Asian patients empanelled to ICT and those in UC at a typical primary care clinic (polyclinic) in eastern Singapore in 2018. The study population had hypertension, and/or hyperlipidaemia and/or type 2 diabetes mellitus (T2DM). Clinical outcomes included the proportion of patients (ICT vs. UC) who attained their treatment goals after 12 months. Process outcomes included the proportion of patients who completed annual diabetic eye and foot screenings, where applicable. Results: Data from 3,302 EMRs (ICT = 1,723, UC = 1,579) from January 2016 to September 2017 was analysed. The ICT cohort was more likely to achieve treatment goals for systolic blood pressure (SBP) (adjusted odds ratio [AOR] = 1.52, 95% confidence interval [CI] = 1.38-1.68), low-density lipoprotein cholesterol (AOR = 1.72, 95% CI = 1.49-1.99), and glycated haemoglobin (AOR = 1.28, 95% CI = 1.09-1.51). The ICT group had higher uptake of diabetic retinal screening (89.1% vs. 83.0%, P < 0.001) and foot screening (85.2% vs. 77.9%, P < 0.001). Conclusion: The ICT model yielded better clinical and process outcomes than UC, with more patients attaining treatment goals.

Impact of COVID-19 on acute isolation bed capacity and nursing workforce requirements: A retrospective review.

AIM: To understand the impact of COVID-19 on isolation bed capacity requirements, nursing workforce requirements and nurse:patient ratios. BACKGROUND: COVID-19 created an increased demand for isolation beds and nursing workforce globally. METHODS: This was a retrospective review of bed capacity, bed occupancy and nursing workforce data from the isolation units of a tertiary hospital in Singapore from 23 January 2020 to 31 May 2020. R v4.0.1 and Tidyverse 1.3.0 library were used for data cleaning and plotly 4.9.2.1 library for data visualization. RESULTS: In January to March 2020, isolation bed capacity was low (=<203 beds). A sharp increase in bed capacity was seen from 195 to 487 beds during 25 March to 29 April 2020, after which it plateaued. Bed occupancy remained lower than bed capacity throughout January to May 2020. After 16 April 2020, we experienced a shortage of 1.1 to 70.2 nurses in isolation wards. Due to low occupancy rates, nurse:patient ratio remained acceptable (minimum nurse:patient ratio = 0.26). CONCLUSION: COVID-19 caused drastic changes in isolation bed capacity and nursing workforce requirements. IMPLICATIONS FOR NURSING MANAGEMENT: Building a model to predict nursing workforce requirements during pandemic surges may be helpful for planning and adequate staffing.