Hospital discharge service reports positive results [video]

Look Ahead Support and Care | December 2021 | Hospital discharge service reports positive results

Look Ahead, hospital discharge service working with Camden and Islington NHS Foundation Trust has had great results including: Bed days reduced from 50 to 42 30 day readmissions have reduced to a low of 3 per cent (stabilising at 6 per cent). This short film outlines how it is working to improve hospital discharge, support patients and avoid readmissions.

The film is available to watch on LinkedIn [no account necessary]

Guide to the Scale, Spread and Embed Project

Imperial College, The Health Foundation et al | nd | Guide to the Scale, Spread and Embed Project

Across the NHS valuable patient experience data collected from free-text Friends and Family Test (FFT) has been under-utilised due to lack of human resource and no systematic way of extracting useful insights. To address this issue, a Health Foundation funded programme of work is aiming to scale up and spread the use of ‘natural language processing’ technology, in combination with quality improvement methodology, to transform patient feedback from the NHS Friends and Family Test into usable insights in real-time.

This article explains the first phase of the project, and the project is looking to recruit more trusts for phase two

Full details are available from Feedback First

Digitally transforming the patient list

National Health Executive | December 2021 | Digitally transforming the patient list

This article published in the NHE’s magazine explores how Bolton NHS Foundation Trust established an electronic patient list, rather than using paper or other methods, to keep track of patients which resulted in a reduction in patients’ length of stays, and increased numbers of unoccupied beds. Not only did this rapidly improve clinical outcomes in patient safety and experience, it also led to £3 m in savings for the trust.

Full story available from the National Health Executive magazine

Learning from Lean: a quality improvement project using a Lean-based improvement approach to improve discharge for patients with frailty in an acute care hospital 

Rollinson, T.J.et al | 2021 | Learning from Lean: a quality improvement project using a Lean-based improvement approach to improve discharge for patients with frailty in an acute care hospital | BMJ Open Quality |  10 | e001393 | doi: 10.1136/bmjoq-2021-001393

This quality improvement project (QIP), known as the ‘discharge QIP’, focused on improving discharge within two particular wards to begin with at Queens Hospital Burton (QHB), part of University Hospitals of Derby and Burton NHS Foundation Trust (UHDB). These wards were chosen as they provided care largely for patients who were frail. Ward X was a 28-bed medical ward and Ward Y was a 20-bed, largely surgical ward, with prenoon discharges for both wards being less than 10 of the total discharge before the QIP commenced. The team was taken through a set ‘improvement practice process’, employing key Lean principles and tools aimed at increasing value for the patients and removing waste.

The initial aim of this QIP was ‘For frail patients on Ward X and Y at QHB to not be situated in acute beds for any longer than necessary by first December 2019’. This aim was made Specific; Measurable; Achievable; Relevant; Time-bound (SMART) by focussing on improving the prenoon discharge to 33 per cent of patients discharged per day.

Those implementing this project, and the authors of this paper, acknowledge that the original aim of achieving 33 per cent was not achieved for either ward despite there being improvement seen in prenoon discharge measures. In addition, despite focussing on ‘discharge of patients’, this QIP centred only on what improvements can be made internally in the trust (Source: Rollinson et al, 2021).

Abstract

A Lean-based improvement approach was used to complete a quality improvement project (QIP) focused on improving speed and quality of discharge of frail patients on two wards at a large teaching hospital in the UK. This was part of a national initiative to embed continuous improvement within the trust. The aim of the QIP was to improve the proportion of prenoon discharges to 33 per cent of total patients discharged from the ward each day. An ‘improvement practice process’ followed, which included seven discrete workshops that took the QIP through four distinct phases—understand, design, deliver and sustain. Several improvement methods and tools were used, including value stream mapping and plan–do–study–act (PDSA) cycles. Ten PDSA cycles were implemented across the clinical areas, including improved planning and data collection of discharge, improved communication between nursing and medical staff, and earlier referrals to community hospitals for discharge. Improved performance was identified through the outcome metric prenoon discharges on both wards, with the average increasing from 8 per cent to 24 per cent on ward X and from 9 per cent to 19 per cent on ward Y, with no other significant change seen in other measures. Pettigrew et al’s context–content–process change model was used to structure the learning from the QIP, which included the impact of varying ward contexts, the format of conducting improvement with staff, the importance of organisational support, the need for qualitative measures, agreeing to an apposite aim and the power of involving service users. The original aim of 33 per cent prenoon discharges was not achieved, yet there was clear learning from completing the QIP which could contribute to ongoing improvement work. This identified that the Lean-based improvement approach used was effective to some degree for improving discharge processes. Further focus is required on collecting qualitative data to identify the impact on staff, especially related to behaviour and culture change.

BMJ Open Quality Learning from Lean: a quality improvement project using a Lean-based improvement approach to improve discharge for patients with frailty in an acute care hospital[ paper]

Socioeconomic deprivation and ethnicity inequalities in disruption to NHS hospital admissions during the COVID-19 pandemic 

Warner, M. et al | 2021| Socioeconomic deprivation and ethnicity inequalities in disruption to NHS hospital admissions during the COVID-19 pandemic: a national observational study | BMJ Quality & Safety |  Published Online First: 25 November 2021|  doi: 10.1136/bmjqs-2021-013942

The aim of this study is to determine whether areas with higher levels of socioeconomic deprivation or larger ethnic minority populations were more affected by reductions in hospital care during the COVID-19 pandemic in England, after controlling for area demographics and healthcare need. The authors’ interpretation of this study indicates that the impacts of COVID-19 on falls in use of hospital care have not been spread evenly across population groups in England. In the case of deprivation, more deprived areas had larger falls in elective admissions and smaller falls in emergency admissions. Areas with high ethnic minority populations had much larger falls in emergency admissions, but there was little difference in elective admissions falls for high and low ethnic minority areas.

Abstract

Introduction
 Hospital admissions in many countries fell dramatically at the onset of the COVID-19 pandemic. Less is known about how care patterns differed by patient groups. We sought to determine whether areas with higher levels of socioeconomic deprivation or larger ethnic minority populations saw larger falls in emergency and planned admissions in England.

Methods 

We conducted a national observational study of hospital care in the English National Health Service (NHS) in 2019–2020. Weekly volumes of elective (planned) and emergency admissions in 2020 compared with 2019 were calculated for each census area. Multiple linear regression analysis was used to estimate the reductions in volumes for areas in different quintiles of socioeconomic deprivation and ethnic minority populations after controlling for national time trends and local area composition.

Results 

Between March and December 2020, there were 35.5 per cent (3.0 million) fewer elective admissions and 22.0 per cent (1.2 million) fewer emergency admissions with a non-COVID-19 primary diagnosis than in 2019. Areas with the largest share of ethnic minority populations experienced a 36.7 per cent (95 per cent CI 24.1 per cent to 49.3 per cent) larger reduction in non-primary COVID-19 emergency admissions compared with those with the smallest. The most deprived areas experienced a 10.1 per cent (95 per cent CI 2.6 per cent to 17.7 per cent) smaller reduction in non-COVID-19 emergency admissions compared with the least deprived. These patterns are not explained by differential prevalence of COVID-19 cases by area.

Conclusions 
Even in a healthcare system founded on the principle of equal access for equal need, the impact of COVID-19 on NHS hospital care for non-COVID patients has not been spread evenly by ethnicity and deprivation in England. While we cannot conclusively determine the mechanisms behind these differences, they risk exacerbating prepandemic health inequalities.

Paper available from the journal BMJ Quality and Safety

Report examines COVID-19 breathing equipment safety risk

Healthcare Safety Investigation Branch | November 2021 | Report examines COVID-19 breathing equipment safety risk

This investigation from the Healthcare Safety Investigation Branch (HSIB) looked into the safety risk of treating patients with coronavirus (COVID-19) with Continuous Positive Airway Pressure Ventilation (CPAP) outside of critical care units. The investigators sought to:

  • Understand the contextual factors surrounding the care of people with coronavirus requiring CPAP in hospital.
  • Describe the systemic factors influencing the risks associated with using this form of non-invasive respiratory support during the pandemic.
  • Identify whether recent national guidance addressed identified safety issues.

The HSIB’s report indicates that monitoring patients who need special equipment to support their breathing when they are not in a critical care unit is crucial to ensuring their safety. The investigation is in response to a reference to the HSIB becoming aware of a patient with COVID-19 requiring CPA, who was found on the floor of a side room having called for assistance. The CPAP tubing had become disconnected from the mask meaning the patient’s breathing was not supported. Sadly, the patient died.

The investigation highlights areas that have been recognised as significant during the NHS response to the COVID-19 pandemic to date, in particular:

  • workforce gaps and skills needed to meet demand, both on general wards and in critical care environments.
  • challenges with delivering treatment outside normal clinical areas.
  • challenges for staff working outside their normal clinical areas.
  • the use of equipment that may have design limitations, particularly if used outside the environment for which it was intended (Source: HSIB).

Report examines COVID-19 breathing equipment safety risk [news release]