NLG(17)422. DATE OF MEETING 31 st October Trust Board of Directors Public REPORT FOR. REPORT FROM Tara Filby, Chief Nurse

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NLG(17)422 DATE OF MEETING 31 st October 2017 REPORT FOR Trust Board of Directors Public REPORT FROM Tara Filby, Chief Nurse CONTACT OFFICER Diane Hughes, Nurse Staffing Improvement Manager SUBJECT Update to the Board relating to nursing, midwifery and care staffing capacity and capability BACKGROUND DOCUMENT (IF ANY) National Quality Board (NQB) report How to ensure the right people, with the right skills, are in the right place at right time 2013 (NHS England). PURPOSE OF THE PAPER: For Assurance EXECUTIVE SUMMARY (PLEASE INCLUDE A BRIEF SUMMARY OF THE PAPER, KEY POINTS & ANY RISK ISSUES AND MITIGATING ACTIONS WHERE APPROPRIATE) This is the monthly report outlining those wards where staffing capacity fell short of what was planned and any risks were mitigated. This shows an overall achievement of fill rate for inpatient wards with a continued high reliance on the use of temporary staff including agency staff (both on and off framework). p.4 The overall fill rates show a increase in month in the RN fill rates.. The CHPPD remains the same. p.8 Midwife to birth ratios in month are 1:30 DPOW, 1:24 SGH p.9 For areas that are under the 80% fill rate, mitigating actions have been taken including over-fill of health care assistant shifts to maintain patient safety and temporary bed reduction. HAVE STAFF SIDE BEEN CONSULTED ON THE PROPOSALS? NOT APPLICABLE HAVE THE RELEVANT SERVICE USERS/CARERS BEEN CONSULTED ON THE PROPOSALS? NOT APPLICABLE ARE THERE ANY FINANCIAL CONSEQUENCES ARISING FROM THE RECOMMENDATIONS? NO IF YES, HAVE THESE BEEN AGREED WITH THE RELEVANT BUDGET HOLDER AND DIRECTOR OF FINANCE, AND HAVE ANY FUNDING ISSUES BEEN RESOLVED? NOT APPLICABLE ARE THERE ANY LEGAL IMPLICATIONS ARISING FROM THIS PAPER THAT THE BOARD NEED TO BE MADE AWARE OF? NO WHERE RELEVANT, HAS PROPER CONSIDERATION BEEN GIVEN TO THE NHS CONSTITUTION IN ANY DECISIONS OR ACTIONS PROPOSED? YES WHERE RELEVANT, HAS PROPER CONSIDERATION BEEN GIVEN TO SUSTAINABILITY IMPLICATIONS (QUALITY & FINANCIAL) & CLIMATE CHANGE? YES

THE PROPOSALS OR ARRANGEMNTS OUTLINED IN THIS PAPER SUPPORT THE ACHIEVEMENT OF THE TRUST OBJECTIVE(S) To ensure safe and effective Nurses staffing levels THE PROPOSAL OR ARRANGEMENTS OUTLINED IN THIS PAPER ENSURE COMPLIANCE WITH THE REGULATORY OR GOVERNANCE REQUIREMENTS LISTED NOT APPLICABLE THE PROPOSALS OR ARRAGEMENTS OUTLINED IN THIS PAPER TAKE ACCOUNT OF REQUIREMENTS IN RESPECT OF EQUALITY & DIVERSITY NOT APPLICABLE ACTION REQUIRED BY THE BOARD The Board is asked to note the report and support any further action required.

Report From: Tara Filby, Chief Nurse Date: October 2017 Subject: Purpose: Expectations relating to nursing, midwifery and care staffing capacity and capability This report provides an overview of nursing and midwifery staffing and advises the Board of those wards where staffing capacity and capability fell short of what was planned and any mitigation. 1.1 Background This revised report will advise the Trust Board of those wards where staffing capacity and capability fell short of what was planned, the reason why and any impact on quality and the action taken to mitigate any risk in staffing from 1 st September 31st September 2017. The organisation s expectations around safe nurse staffing have been defined as follows: 1 RN to 8 patients (minimum) for standard acuity wards on days 2 registered nurses on each shift as a minimum on inpatient wards Establishments based on a headroom allowance of 21.8% for sickness, absence, training and leave is built into the plan The Trust website publishes all ward by ward data on planned versus actual numbers of staff by registered nurse/midwife and health care staff by day duty and night duty. A summary of this fill rate can be found in appendix A of this report. NHS England has requested exception reporting around those areas where compliance around expected hour s vs actual hours for registered nurses (aggregated monthly data) are less than 80%. This report provides details of where compliance was less than 85%, our Trust internal target (Amber rated) along with those areas where compliance was less than 80%, national target (Red rated) 3 of the 38 wards fall into this red rated category, which is the same as last month. The Improving together program has a focus on safe nurse staffing. Supported by Ernst Young a revised programme is being developed. Below is the revised meeting structure which will ensure safe, effective and cost effective nurse staffing is in place. Page 3

2.0 Deviations in staffing capacity and capability The table below demonstrates the site level fill rates. A number of wards (highlighted in Grey), especially at SGH, have a substantive fill rate of <60% and give cause for concern in relation to continuity and skill mix however in the majority of these areas, the use of temporary staff supports the overall fill rate to be within acceptable parameters. Many ward sisters choose to reduce fill rate by substantive staff on night shifts as it is more likely that night shifts will be picked up by agency staff. There is a balance of risk that is considered when doing this in relation to skill mix. The arrows indicate movement in month: Day Day Night Night Day Night Overall Site Fill rate Fill rate care Fill rate - Fill rate Average Nurse fill Average Nurse fill Average fill rate registered nurses/midwives staff registered nurses/midwives - care staff rate rate Grimsby 94.0% 103.4% 98.5% 103.7% 97.6% 100.4% 97.2% Goole 95.6% 88.8% 99.3% 106.7% 92.4% 100.8% 95.6% Scunthorpe 88.8% 98.8% 97.0% 111.2% 92.4% 101.4% 92.4% Trustwide Day Day Night Night Day Night Overall Fill rate registered nurses/midwives Fill rate care staff Fill rate - registered nurses/midwives Fill rate - care staff Average Nurse fill rate Average Nurse fill rate Average fill rate 91.6% 100.7% 97.8% 107.0% 95.0% 100.9% 97.2% 3.0 Overall fill rates. The overall fill rates are shown in the run chart below: 105.00% 100.00% 95.00% 90.00% 85.00% 80.00% overall DPOW GDH SGH Linear (overall) 75.00% The overall trust-wide fill rate has increased slightly but a decrease is seen at Scunthorpe Hospital. This could be partly due to the reduction in beds in some of the areas which will mean some shifts would not be required to be filled. All templates will be amended to reflect the changes. Page 4

4.0 Care Hours Per Patient Day (CHPPD) CHPPD is part of the data provided from the model hospital. CHPPD is calculated by adding the hours of registered nurses to the hours of healthcare support workers and dividing the total by every 24 hours of in-patient admissions (or approximating 24 patient hours by counts of patients at midnight). The new field Patient count at midnight is the total number of patients on the ward at 23.59 and then totaled for the month for the return. CHPPD reports split out registered nurses and healthcare support workers to ensure skill mix and care needs are met. From May 2016, CHPPD has become the principle measure of nursing and care support deployment, with the expectation that it will form part of an integrated ward/unit level quality framework and dashboard encompassing patient outcomes, people productivity and financial sustainability. The data for our organisation is populated in the table below: Care Hours Per Patient Day (CHPPD) Nurses HCAs Overall % Ratio RN s to HCAs DPOW 4.4 2.8 7.2 63% SGH 5.0 2.9 7.9 58% GDH 4.8 2.5 7.3 52% Overall 4.7 2.8 7.7 60% This month s data indicates that between 7.2 and 7.9 Care Hours per Patient per Day is provided across the three sites with the majority of the care being provided by Registered Nursing staff. There is an increase seen overall to the position seen last month. These figures are an average and therefore the detail ward to ward is important (see Appendix A). The chart below demonstrates the range of Care Hours per patient day across areas: 35 30 25 20 Overall CHHPD Sept 17 15 10 5 0 Overall CHHHPD Page 5

5.0 Acuity/dependency Senior nurses continue to employ the Safer Nursing Care Tool (SNCT) via the Safe Care Live module of Health Roster to review the acuity and dependency of patients in our care. Senior nurses in NLaG use data from the SNCT to review establishments and coordinate the effective deployment of staff. Front-line nurses assess each patient at least daily, preferably each shift and attribute a score based on the SNCT model (category 0, 1a, 1b or 2). This information is input into the WebV solution and viewed by Operational Matrons as an acuity score. The detail is then pulled from the system by the Roster team who can produce graphs to compare the number of hours required to care for the patients (based on their needs) with the planned hours on the agreed roster template. Data is then added that shows the actual hours worked and broken down into substantive staff, bank and agency. During November a trust wide daily data collection will take place on all the wards. Training has taken place with ward nurses and has seen good attendance. Follow up sessions will be delivered in the ward areas. The evidence will be used to support the annual establishment review process that has been brought forward to December, to ensure staffing levels are adequate for the needs of the patients on the ward and to inform the budget setting process for the next financial year. 6.0 Inpatient wards 6.1 Bed reduction When all options to fill vacant shifts have been exhausted, to ensure patient safety, decisions are made to temporarily close beds. Ward 2 at Scunthorpe General Hospital has been closed since August 2016 to allow staff to be temporarily redeployed to other wards within the medicine division. 4 beds have been temporarily reduced on ward 25 due to significant vacancy issues and a pilot of a care navigator role is underway. 4 beds have been temporarily reduced since June 2017 on ward 22 due to the significant vacancy position of Registered Nurses and deterioration in a number of quality indicators. Ward 24 has been reduced by 6 beds due to the current vacancy position. Patient care quality and safety is being closely monitored and beds will remain closed until the position improves. These changes have been endorsed via the Trust Management Board. 6.2 Escalation beds Escalation beds have been open to cope with the increasing demand in admissions despite us being well out of the winter period. At DPoW site this is primarily on ward C2. An escalation area has been set up for these areas on e- roster. The continued use of escalation beds has put additional pressure on nurse staffing and the use of high cost agencies. Ward B2 and B3 have seen an intermittent increase in their bed base by 4 beds each frequently throughout the month. 8.0 Maternity The chart below demonstrates the midwife/birth ratios calculated using the Birth Rate Tool for September 2017: Month DPOW SGH Trust-wide August 17 Staffed to full Establishment 29.44 23.79 26.95 Excluding mat leave and 33.00 26.73 30.24 vacancies With gaps filled through NLAG Bank/Agency 30.35 24.54 27.78 Page 6

A daily risk assessment is in place to empower midwives to escalate concerns re: staffing levels and the acuity and complexity of women in their care. Mitigating actions are then put in place as per the Trust escalation policy, including calling in supportive resource from the community midwifery team. Vacant midwifery posts have been recruited to with start dates ranging from September to November. Support has been received from Claire Keegan NHSI to reviews current Staffing and proposed change in model at SGH. Birthrate Plus was commissioned by the Trust and a report received in March 2017. This has been reviewed and a plan put in place to match midwifery resource to patient need. 9.0 Paediatrics Overall the fill rates have tracked below plan however staff have been redeployed between the various areas in children s services and between sites to ensure staffing numbers and skill mix reflect the acuity and complexity of children in their care. A daily risk assessment has been commenced to assist this decision-making and capture the rationale. An establishment review has been undertaken for the paediatric wards due to changes in national guidance. This will be subject to confirm and challenge on the 16 th October. 10.0 Impact of staffing on patient care It is imperative that we triangulate the new CHPPD and the staffing fill rates with patient outcomes/nurse sensitive. Indicators, e.g. pressure ulcers and falls. The nursing dashboard outcomes and safety thermometer data are provided in Appendix A. This provides a level of assurance in relation to the quality impact in association with nurse staffing levels. There are 3 wards which are RAG rated red for RN fill rates in September. We are comparing staffing fill rates with safety thermometer data which reports new harm to patients. This includes pressure ulcers, falls, UTI and DVT/PE and therefore is attempting to triangulate a wider set of nurse sensitive indicators with nurse staffing fill rates. There are 2 wards red this month for nursing dashboards these are not the same wards that are red for staffing. There are no avoidable pressure ulcers or falls in September. 11.0 Reasons for the gap Where it is safe to do so, HCA shifts are used to backfill shortages in RN shifts on the roster. This correlates with an overfill rate on the template as evidenced in Appendix A. Additional HCA shifts have also been authorized to cover escalation beds opened within a number of wards including B2, B3. Additional HCA shifts have been authorized to cover a high proportion of 1:1 shifts for high risk patients and/or outliers. The rationale for under fill of RN shifts is demonstrated in the table below. Ward name Average fill rate - registered nurses/midwives (%) Days Average fill rate - care staff (%) Days Average fill rate - registered nurses/midwives (%) nights Average fill rate - care staff (%) Nights DISNEY 79.1% 86.2% 102.2% 103.2% The shortages on Disney relate to a combination of staffing vacancies and sickness. Usual attempts are made to cover any shortfalls by moving staff from other areas (Associate Chief Nurse, Children) All vacancy have now been filled this should be reflected next month s report. Ward 6 77.3% 83.7% 95.2% - The ward occupancy and acuity is assessed daily and staffed appropriately. Support is given by ward 7 registered nurses when required. WARD 25 78.5% 88.8% 99.9% 74.2% Temporary agreement in place to replace a RN (days) with a care navigator role as a pilot. This is maintaining a 1:8 minimum RN to patient ratio and releasing RN time. This is being reviewed closely by the Matron and Associate Chief Nurse and quality of care is being monitored (ACN, S&CC) The fill rate that has been achieved overall at the SGH site is heavily reliant on temporary staffing including high cost agency fill. This position will not change in the immediate term as the majority of new starters are taking up post at the DPOW site. Work is ongoing with the ACN to consider the most effective use of the resources. The Nurse Staffing workstream is being supported by Ernst & Young to develop a recovery plan to limit the use of off framework and high cost agency nurses by increasing grip and control measures at operational level. Clinical Nurse Specialists and senior nurses have been asked to support the wards over the winter period by working clinical shifts. This will provide the ward staff with experienced knowledge staff who can support them and is being implemented through a supported engagement process. Page 7

12.0 Summary Each ward is reviewed daily by the operational matrons and Associate Chief Nurses and any redeployment of staff is undertaken on a shift by shift basis. The operational matrons plan the next day staffing requirements by reviewing the acuity and dependency of the wards they are responsible for and in conjunction with the ward sister/charge nurse. The skill mix of the nursing workforce is taken into account daily. We make conscious decisions to move nurses by ward or within their own ward according to competency and skills Where we have vacancies in ward areas we are actively recruiting to these posts and this is monitored by the operational groups and through a Nurse staffing group which meets weekly. Nursing dashboard quality data is monitored by exception at NMAF. A visit to East Lancashire Trust was undertaken at the end of June to observe their effective methods of nursing oversight and redeployment. An Associate Chief Nurse of the week model has been implemented to improve timeliness of escalation and roster control. Additional monitoring of roster approval processes has been implemented and a dashboard created this is reviewed at the Finance Improvement Board bi-weekly as well as at the nursing sustainability meeting 13.0 Recommendation The Board is asked to note the report and support any further action required. % Page 8

Appendix A Fill rates Nursing, Midwifery and Care staff & Safety Thermometer data Ward name Day Night Day Night CHPPD Nursing Dashboard rate RN Car rate - rate - % rate rate - rate rate - e rate - RNs (%) care RN care substanti Substantiv substan substanti Sta staff (%) staff (%) ve RN (%) e care tive RN ve care ff (%) staff (%) (%) staff (%) Safety Thermome ter Harm free new harm Overall Falls PU AMETHYST & D1 97.6% 100.8% 101.2% 110.3% 94.1% 93.9% 82.8% 93.33% 3.2 2.6 5.8 94.4% 87.0% 0 0 Blueberry /Holly 101.4% 98.0% 95.0% 102.1% 96.0% 92.9% 86.2% 91.87% 9.5 4.8 14.3 100% 100% 0 0 C1 KENDALL 92.5% 90.9% 100.0% 96.4% 69.4% 71.5% 61.7% 53.23% 2.6 2.1 4.6 94.4% 77.8% 0 0 CORONARY CARE UNIT 98.9% 98.6% 107.3% 96.7% 96.2% 83.3% 91.8% 70.97% 7.0 2.6 9.5 99.2% 100% 0 0 Honeysuckle/ Jasmine 99.5% 99.0% 98.4% 100.9% 94.1% 90.2% 82.1% 85.13% 12.7 5.1 17.7 92.9%/100 100% 0 0 % ITU 92.7% 83.2% 98.1% - 86.2% 50.0% 83.2% 29.0 2.0 31.0 100% 100% 0 0 LAUREL WARD 94.6% 103.6% 103.4% 92.5% 82.9% 69.7% 76.8% 83.87% 4.4 2.9 7.2 100% 100% 0 0 NICU 102.8% 68.5% 95.0% 68.5% 101.1% 68.5% 95.0% 62.69% 9.7 3.4 13.1 99.1% 100% 0 0 Rainforest 87.9% 118.6% 91.5% 107.5% 78.1% 118.6% 83.8% 92.71% 7.4 2.8 10.2 84.5% N/A 0 0 STROKE UNIT 85.9% 97.8% 100.0% 109.0% 80.4% 89.0% 73.3% 89.66% 2.6 3.0 5.6 96.0% 64.0% 0 0 WARD B2 SAU 92.9% 117.6% 101.0% 192.9% 73.8% 85.2% 72.2% 154.84% 3.6 2.9 6.5 98.4% 100% 0 0 WARD B3 97.8% 132.0% 99.0% 109.5% 77.9% 104.7% 56.7% 67.74% 4.4 1.8 6.2 98.4% 89.3% 0 0 WARD B4 89.5% 118.9% 98.3% 97.1% 65.3% 101.9% 33.3% 87.10% 2.9 2.9 5.8 98.4% 90.9% 0 0 WARD B6/B7 94.2% 116.5% 99.2% 115.2% WARD C1 HOLLES 93.1% 92.5% 100.1% 82.3% 79.0% 95.9% 61.7% 69.89% 2.9 2.8 5.7 94.9%/93.6 90.9%/71.4 0 0 % % 2.7 2.9 5.5 98.0% 92.0% 0 0 78.0% 83.3% 92.8% 58.06% WARD C5 88.3% 102.4% 98.0% 118.3% 64.7% 91.8% 60.3% 87.10% 2.8 2.7 5.5 84.0% 86.4% 0 0 WARD C6 89.7% 103.0% 100.0% 106.7% 82.1% 92.0% 50.0% 64.52% 2.9 2.6 5.5 100% 95.8% 0 0 CCU 88.6% 102.5% 100.0% 98.9% 78.4% 83.0% 85.4% 41.94% 5.2 2.0 7.2 100% 54.5% 0 0 Disney 78.0% 84.9% 98.9% 106.7% 70.5% 84.9% 93.3% 103.23% 9.8 3.9 13.7 99.1% N/A 0 0 ITU 95.3% 97.8% 96.7% - 83.8% 97.8% 70.0% 24.9 0.8 25.7 100% 100% 0 0 NICU 104.9% 84.6% 99.4% 80.0% 102.6% 82.5% 94.4% 90.18% 10.1 5.4 15.6 99.1% 100% 0 0 SGH 98.4% 100% 0 0 GYNAECOLOGY 93.1% 103.4% 100.0% - 6.9 2.1 9.0 WARD 87.8% 103.4% 90.0% SSRU 85.8% 98.2% 95.4% 100.0% 75.9% 86.7% 63.5% 84.90% 6.6 3.4 10.0 97.6% 100% 0 0 WARD 10/11 95.8% 91.4% 100.0% 85.6% 88.7% 78.4% 51.7% 85.02% 5.0 2.9 7.8 97.6%/50.0 98.3%/100 0 0 % % WARD 16 86.6% 99.6% 98.3% 98.3% 72.0% 92.5% 41.7% 96.33% 3.0 2.7 5.7 89.6% 61.9% 0 0 WARD 17 85.7% 101.2% 96.4% 114.8% 41.7% 92.6% 46.7% 90.32% 2.9 2.8 5.8 97.6% 73.9% 0 0 WARD 18 93.6% 106.0% 100.5% 96.7% 79.1% 104.2% 100.5% 80.65% 3.7 3.2 6.9 98.4% 75.0% 0 0 5

10 P age Ward name Day Night Day Night CHPPD Nursing rate Dashboard rate RN Car Ove - RNs (%) rate - rate - rate rate - rate rate - e care RN care substanti Substantiv substan substant Sta staff (%) staff ve RN (%) e care tive RN ive care ff (%) (%) staff (%) (%) staff (%) % Safety Thermome ter Harm free new harm rall Falls PU WARD 2 - - - - - - - - - - - - - - - WARD 22 85.6% 93.1% 101.1% 145.0% 50.8% 86.6% 37.8% 96.67% 4.1 3.5 7.6 95.2% 91.3% 0 0 WARD 23 88.2% 112.8% 95.5% 145.9% 96.8% 82.1% 0 0 73.1% 112.8% 33.3% 139.24% WARD 24 85.4% 109.0% 93.7% 138.3% 69.3% 105.2% 31.1% 110.00% 2.8 2.7 5.5 98.4% 92.0% 0 0 WARD 25 78.9% 91.2% 100.9% 90.2% 64.5% 64.6% 65.9% 70.15% 2.7 2.4 5.2 97.6% 95.7% 0 0 WARD 26 89.1% 92.1% 90.0% 81.0% 70.5% 88.8% 70.0% 74.35% 13.4 2.0 15.4 95.2% 100% 0 0 WARD 28 92.5% 100.4% 98.9% 141.3% 78.3% 83.0% 47.8% 78.33% 3.7 3.3 7.0 99.2% 100% 0 0 WARD 6 77.3% 83.7% 95.2% - 84.6% 79.4% 76.7% - 5.8 2.1 7.8 Agreement 90.0% 0 0 not to WARD 3 96.9% 93.5% 98.6% 96.7% 95.5% 94.0% 75.3% 76.67% 4.2 2.8 7.0 Agreement 84.6% 0 0 not to ECC DPOW EC SGH AMU- DPOW 98.4% 81.3% 0 0 CDU-SGH 96.8% 93.8% 0 0 MIU GDH Fill rate key <85% <80% >115% Nursing Dashboard & ST Key Calculated Thresholds Over 95% Over 85% Under 85%