Abstract
Background NHS England has mandated use of the National Early Warning Score (NEWS), more recently NEWS2, in acute settings, and suggested its use in primary care. However, there is reluctance from GPs to adopt NEWS/NEWS2.
Aim To assess whether NEWS calculated at the point of GP referral into hospital is associated with outcomes in secondary care.
Design and setting An observational study using routinely collected data from primary and secondary care.
Method NEWS values were prospectively collected for 13 047 GP referrals into acute care between July 2017 and December 2018. NEWS values were examined and multivariate linear and logistic regression used to assess associations with process measures and clinical outcomes.
Results Higher NEWS values were associated with faster conveyance for patients travelling by ambulance, for example, median 94 minutes (interquartile range [IQR] 69–139) for NEWS ≥7; median 132 minutes, (IQR 84–236) for NEWS = 0 to 2); faster time from hospital arrival to medical review (54 minutes [IQR 25–114] for NEWS ≥7; 78 minutes [IQR 34–158] for NEWS = 0 to 2); as well as increased length of stay (5 days [IQR 2–11] versus 1 day [IQR 0–5]); intensive care unit admissions (2.0% versus 0.5%); sepsis diagnosis (11.7% versus 2.5%); and mortality, for example, 30-day mortality 12.0% versus 4.1% for NEWS ≥7 versus NEWS = 0 to 2, respectively. On average, for patients referred without a NEWS value (NEWS = NR), most clinical outcomes were comparable with patients with NEWS = 3 to 4, but ambulance conveyance time and time to medical review were comparable with patients with NEWS = 0 to 2.
Conclusion This study has demonstrated that higher NEWS values calculated at GP referral into hospital are associated with a faster medical review and poorer clinical outcomes.
- continuity of care
- general practice
- national early warning score
- patient safety
- primary care
- routinely collected data
- secondary care
INTRODUCTION
Early warning scores (EWS) are recommended in UK secondary care1 to aid detection of deterioration and improve patient outcomes. Scores are calculated from physiological observations, with higher scores indicating poorer health. Though developed for hospitals, studies of EWS in pre-hospital settings have been shown to predict outcomes such as hospital stay and mortality;2–6 however, those studies were mostly in ambulance and non-UK settings.
To align scoring across the country, the Royal College of Physicians (RCP) developed the National Early Warning Score (NEWS) for secondary care in 2012.7 NEWS comprises respiratory rate, oxygen saturation, temperature, systolic blood pressure, heart rate, and level of consciousness. Each is scored 0–3 and combined to give an overall score with two additional points for supplemental oxygen. Scores lie from 0 to 20, with higher scores resulting from abnormal physiological measurements (Supplementary Figure S1). NEWS has been demonstrated to be a good sepsis screening tool8 and its structured observations are recommended nationally to aid recognition of sepsis.8–11
In 2015, the West of England Academic Health Sciences Network introduced NEWS, via regional training programmes, into all healthcare settings across the region within five clinical commissioning groups,12,13 including six acute trusts, two mental health trusts, six community providers, the South West Ambulance Service, primary care practices, and GP out-of-hours services. As per the RCP’s escalation criteria,7 NEWS ≥5 was recommended for referral into acute care if clinically appropriate.
NEWS2, an update of NEWS (Supplementary Figure S2), is now mandated by NHS England for acute hospitals and recommended in pre-hospital settings including primary care.7,9–11,14,15 An advantage of calculating NEWS/NEWS2 while patients are in primary care is to start the track-and-trigger process earlier. However, there is reluctance from GPs to adopt NEWS/NEWS2 for a number of reasons, such as a preference for observing symptoms, clinical instinct, and a lack of validated studies conducted in primary care; GPs also report time restraints restricting the appropriateness of a full set of observations.16,17 There is currently little evidence about how NEWS in these settings influences patient outcomes,4 though some is beginning to emerge.2–5,13,16,18
The objective of this study was to investigate whether NEWS calculated at the point of GP referral to hospital affects timely process of care, that is, sicker patients seen faster, and to investigate clinical outcomes in hospital.
| The National Early Warning Score (NEWS) is mandated for use in secondary care and recommended for use in out-of-hospital settings. In the West of England, NEWS is used across the whole system including primary care; however, there is reluctance from GPs, both locally and nationally, to adopt NEWS. This study demonstrates that NEWS values recorded at the point of referral into hospital are associated with poorer clinical outcomes and can be used to improve the process of care and prioritise the sickest patients. |
How this fits in
METHOD
Design and setting
This was an observational study using routinely collected data from primary and secondary care.
Data acquisition
One trust in the region, covering a population of approximately 500 000 people and the largest hospital in the South West,19 uses the Clinical Information Systems Suite (CISS) database to record all acute admissions into the medical admissions unit (MAU). Time of referral, time of arrival in MAU, time of doctor review, and reviewing doctors’ grade are prospectively recorded on the database, along with symptoms on referral. In June 2017, a ‘NEWS on referral’ field was added to this database; from this time GPs were asked for component observations of NEWS and a score was calculated and recorded. GPs aware of NEWS may have calculated a score themselves before deciding to refer, but others simply provided component parts because they were requested to when an admission was arranged. Data from July 2017 to December 2018 inclusive were included in this analysis.
Data linkage
Information analysts at the trust used NHS numbers to link the CISS data to local secondary use service data, to identify length of hospital stay (LOS), primary diagnosis, intensive care unit (ICU) admission, and mortality for each patient. These linked data were anonymised and sent to the project team for analysis.
Outcomes
The authors examined whether NEWS was associated with the following process measures and clinical outcomes: time from referral to arrival in hospital (by ambulance or other transport), time from arrival to review by doctor, grade of reviewing doctor, LOS, suspicion of sepsis (SOS), primary diagnosis of sepsis, ICU admission, 2-day mortality, and 30-day mortality.
Data preparation and derivations
The authors were interested in medical admissions from GPs to MAU, including patients seen in ambulatory care. Surgical patients and those referred from the emergency department (ED) or other hospital locations were excluded. Repeated data, that is, where patient ID and referral date appeared more than once (<1%), were excluded due to uncertainty over which data were accurate.
NEWS values were grouped into five categories: 0 to 2, 3 to 4, 5 to 6, ≥7, and not recorded (NR). These categories were chosen in line with secondary care escalation trigger scores of 3, 5, and 7.14 Patients who had some component observations of NEWS recorded but no NEWS value calculated and recorded in the database were grouped in NEWS = NR.
Suspicion of sepsis was derived from the ICD-10 primary diagnosis codes using a reference list of approximately 250 codes relating to bacterial infections.20,21 Primary diagnosis of sepsis was a subset comprising only ICD-10 codes A40 (‘streptococcal sepsis‘) and A41 (‘other sepsis‘).
An ‘ambulance conveyance’ variable was derived from a free-text field containing GP-reported details of presenting complaints: Ambulance = Yes if the word ‘ambulance’ was mentioned but not preceded by the word ‘no’ (that is, not ‘no ambulance’); otherwise Ambulance = No (this variable was set to missing if no presenting complaints were recorded).
Time from referral to arrival in MAU and arrival to medical review were calculated from the times recorded in the CISS database. Both date and time were recorded for referral, but only time was recorded for arrival and review. Therefore, if care crossed midnight, the difference between the two appeared negative, for example, if referral time was 10.00 pm and arrival time was 1.00 am, calculated time would be −21 hours. To account for this, times calculated between −24 and −1 hours, were assumed to cross midnight and 24 hours were added; times calculated between −1 and <0 hours were assumed to be an error, where times were swapped around during data entry and were multiplied by −1. Times recorded as 00:00 appeared far more than other times; it was assumed this time was entered if true time was unknown and therefore set to missing.
Statistical analysis
Continuous and categorical data were summarised using medians and interquartile ranges (IQR), and counts and percentages, respectively. To investigate the effects of referral NEWS, binary outcomes were analysed using multivariate logistic regression and presented as odds ratios (ORs) with corresponding 95% confidence intervals (CIs). Continuous outcomes were analysed using multivariate linear regression; due to poor model fit, continuous outcomes were log-transformed (with zero values replaced with 0.5 before transformation), and results presented as geometric mean ratios (GMRs) with 95% CIs. As the model fit for LOS was still poor following log-transformation, it was dichotomised (no overnight stay versus overnight stay and/or hospital mortality) and analysed using logistic regression as above. All models were adjusted for age and sex. Model fit was tested using standard methods and outliers were excluded. The analysis for referral to arrival time by conveyance method was calculated by adding a NEWS by conveyance method interaction term. Missing data are described but all analyses included complete cases; no imputation was performed. Stata 15 (version 1) was used for all data checking, cleaning, and analyses.
RESULTS
Patient demographics
There were 13 047 medical admissions from GPs to MAU between 01 July 2017 and 31 December 2018. The median age of patients was 69 years (IQR 51–82) and 7285/13 047 (56%) were female. The percentage who had NEWS recorded was reasonably stable across the time period: 74% in July 2017 and 78% in December 2018. Overall, 42%, 17%, 11%, 8%, and 22% of patients had NEWS = 0 to 2, NEWS = 3 to 4, NEWS = 5 to 6, NEWS ≥7, and NEWS = NR, respectively. Of those with NEWS recorded, the median score was 2 (IQR 0–4).
On average, NEWS was higher in older patients; 523/4760 (11%) patients aged 16 to 59 years had NEWS ≥5 compared with 2000/8287 (24%) patients aged ≥60 years. The percentage of patients with NEWS = NR was the same in the two age groups (22%). NEWS values were less likely to be recorded at ‘night’ (8.00 pm to 8.00 am) than during the ‘morning’ (8.00 am to 2.00 pm) or ‘afternoon’ (2.00 pm to 8.00 pm): 845/1273 (66.4%), 4754/5871 (81.0%), and 4590/5869 (78.2%), respectively.
Referral to arrival in hospital
Median time from GP referral to arrival in MAU was 79 minutes (IQR 50–129, Table 1). For patients conveyed by ambulance (21%), as NEWS increased, referral to arrival time decreased, and patients with NEWS = NR had very similar times to those with NEWS = 0 to 2 (Figure 1, Table 1). The relationship was unclear for patients conveyed by other transport, for example, car, taxi, or bus (Figure 1).
Summary of outcomes by National Early Warning Scores (NEWS) on referral
Time from GP referral to arrival in hospital by NEWS on referral and ambulance conveyance. CI = confidence interval. GMR = geometric mean ratio. NEWS = National Early Warning Score. NR = not recorded.
On average, patients conveyed by ambulance had higher NEWS values (34% versus 15% NEWS ≥5) and slower conveyances (116 minutes versus 71 minutes) than patients using other transport.
Arrival in hospital to review by doctor
Median time from arrival to review was 74 minutes (IQR 33–148) (Table 1). As NEWS value increased, average arrival to review time decreased; for patients with NEWS = NR, times were similar to patients with NEWS = 0 to 2 (Figure 2, Table 1). Patients with higher NEWS were more likely to be seen by a senior doctor (specialty registrar or consultant) than patients with lower NEWS (Table 1); in particular, patients with NEWS ≥7 were more likely than NEWS = 0 to 2 (OR 1.30, 95% CI = 1.11 to 1.51 (Supplementary Figure S3).
Time from hospital arrival to doctors’ review by NEWS on referral. CI = confidence interval. GMR = geometric mean ratio. NEWS = National Early Warning Score. NR = not recorded
Length of stay
As NEWS increased, average LOS increased, with a median of 1 day (IQR 0–5), 3 days (IQR 1–7), 4 days (IQR 2–10), and 5 days (IQR 2–11) for patients with referral NEWS of 0 to 2, 3 to 4, 5 to 6, and ≥7, respectively (Table 1). Patients with NEWS = NR had a median LOS of 2 days (IQR 0–6). The analysis of overnight stay and/or hospital mortality reflects this relationship, for example, a patient with NEWS ≥7 had >8 times the odds compared with someone with NEWS = 0 to 2 (OR 8.44, 95% CI = 6.29 to 11.32) (Figure 3).
Overnight hospital stay and/or hospital mortality by NEWS on referral. CI = confidence interval. NEWS = National Early Warning Score. NR = not recorded.
ICU admission
Overall, only 87/12 166 (0.7%) patients were admitted to ICU. The odds of ICU admission and/or hospital mortality increased as NEWS increased, for example, NEWS ≥7 compared with NEWS = 0 to 2, OR 3.08, 95% CI = 2.36 to 4.00; odds for patients with NEWS = NR were higher than NEWS = 0 to 2 (Table 1, Supplementary Figure S4).
Sepsis
A total of 460/10 030 (4.6%) patients had a primary diagnosis of sepsis and 3138/10 030 (31.3%) had SOS (Table 1). The odds of sepsis and SOS increased as NEWS on referral increased; for patients without NEWS, the odds of sepsis and SOS were the same as, and slightly lower than, NEWS = 0 to 2, respectively (Figure 4 and Supplementary Figure S5).
Primary diagnosis of sepsis by NEWS on referral. CI = confidence interval. NEWS = National Early Warning Score. NR = not recorded.
Mortality
A total of 71/10 030 (0.7%) and 664/10 030 (6.6%) patients died within 2 days and 30 days of admission, respectively (Table 1). As NEWS increased, 2-day mortality increased, for example, for NEWS ≥7 compared with NEWS = 0 to 2, OR 8.21, 95% CI = 4.14 to 16.28 (Figure 5). The odds for patients with NEWS = NR were higher than NEWS = 0 to 2 (OR 2.47, 95% CI = 1.17 to 5.18). A similar pattern was seen for 30-day mortality (Supplementary Figure S6).
Two-day mortality by NEWS on referral. CI = confidence interval. NEWS = National Early Warning Score. NR = not recorded.
DISCUSSION
Summary
This is the first UK study investigating the association between NEWS at the time of referral from primary care and resulting process measures and clinical outcomes in secondary care. Importantly, this study found higher NEWS values were associated with increased LOS, ICU admissions, sepsis (suspected and diagnosed), mortality (2-day and 30-day), decreased time from referral to arrival for patients conveyed by ambulance, and decreased time from arrival in hospital to doctor review.
Patients with NEWS = NR had increased LOS, ICU admissions, and mortality compared with patients with NEWS = 0 to 2 but conveyances and time to treatment on average as long as, or even longer than, patients with NEWS = 0 to 2. This suggests the group without NEWS may include a spectrum of sick and less sick patients, and highlights a potentially missed opportunity for earlier conveyance and review of sicker patients, which may have been mitigated if NEWS had been calculated. Alternatively, this group may include patients with clear referral pathways, for example, patients who have had a stroke, for whom NEWS would not have provided additional information. However, primary diagnosis data do not support this hypothesis, for example, 16/2848 (0.56%) were myocardial infarctions and 12/2848 (0.42%) were strokes.
Unlike the other clinical outcomes, patients with NEWS = NR had the same odds of diagnosis of sepsis and slightly lower odds of SOS than patients with NEWS = 0 to 2. As NEWS is recommended by the National Institute for Health and Care Excellence to identify sepsis,9 GPs might be more inclined to calculate NEWS, or its component parts, if they suspect sepsis.
Strengths and limitations
The strengths of this analysis are threefold: first, the dataset is large (>13 000 referrals) with relatively little missing data. Second, data used are ‘real-world’ prospective data from a busy UK NHS trust, representative of other regional UK areas. Third, owing to the databases used, the authors had the ability to link patients’ outcomes robustly, which is often not possible.
There are some potential limitations. Although the dataset is large, it is based on one hospital so may not be generalisable. As this is routine, retrospective NHS data, it is likely to contain data entry errors, even though methodically cleaned before analysis. Further, it may not reflect the full context of the interaction between primary and secondary care, for example, if the secondary care staff member(s) receiving patient referrals is unavailable when a patient arrives, they may be seen in ED first and therefore would not appear in this dataset. This study found that patients with higher NEWS were reviewed by a doctor faster than those with lower scores, so it is possible that the observed relationship between high NEWS values and poorer clinical outcomes could be stronger than shown in this analysis, but was moderated by faster review and treatment. Also, it is not known whether decreased ambulance conveyance times and arrival to review times with higher NEWS were due to NEWS itself or because healthcare staff recognised that patients were sicker. There may be missing data from the ambulance conveyance status due to its free-text origins, and so these data may not be robust. Finally, this study’s data pertain to NEWS rather than the updated NEWS2. The key changes for NEWS2 are a new oxygen saturation section for patients with hypercapnic respiratory failure and the consideration of new-onset confusion alongside level of consciousness.14 Although these changes would affect NEWS values in a subset of patients, the authors do not believe these changes would significantly alter the present findings.
Comparison with existing literature
The results presented in this study are in line with data from secondary care,22–26 where patient mortality has been shown to be related to NEWS values. In a recent systematic review of EWS in pre-hospital settings,4 ambulance service data indicated EWS had good accuracy for prediction of death within 48 hours. In addition, patients with EWS = 0 were very unlikely to deteriorate and higher scores resulted in higher risk of deterioration. The present data agree with these findings in terms of mortality, sepsis, LOS, and ICU admission.
A recent study of patients transported by ambulance to hospital in Finland18 found a 1-day mortality rate of 0.21% for NEWS = 0 to 4 and 21.3% for NEWS ≥7 calculated retrospectively from clinical parameters recorded by the ambulance crew. They also found a 30-day mortality rate of 2.1% for NEWS = 0 to 4 and 33.1% for NEWS ≥7. These figures differ from the present findings, particularly for NEWS ≥7, most likely because of their inclusion of patients with trauma. Other studies3,5,13,27 that investigated the diagnostic accuracy of NEWS/NEWS2 in pre-hospital or ED settings to predict mortality all found that, as NEWS increased, mortality increased, in line with the findings presented in this article. One ED study also found that, as NEWS increased, sepsis increased (0.4% for NEWS = 0 to 2 and 17.5% for NEWS ≥7).27 These results are lower than the present findings for low NEWS and higher for high NEWS; this is likely because of the patient cohort undergoing GP ‘triage’ before inclusion and the exclusion of surgical patients in this study. It is difficult to directly compare the present results to any of these studies as they are based on retrospective calculations of NEWS, whereas NEWS was in use as a track-and-trigger system in the present patient population and therefore clinical actions triggered by these scores may have improved outcomes.
Implications for practice
The findings should go some way to increase GPs’ trust in using NEWS (now NEWS2) to communicate patient acuity to ambulance and secondary care staff. It should reassure GPs both locally and nationally that, when used in conjunction with clinical judgement, calculating NEWS in primary care is worthwhile in terms of its impact on improving clinical processes of assessment and treatment of their patients.
Patients who came to hospital via their own transport arrived quicker than by ambulance. Unlike in ambulance conveyances, however, higher NEWS did not correlate with a faster transfer. This means that, while NEWS may be used by ambulance call handlers and paramedics for triage, patients and carers could benefit from education about NEWS to ensure that, if they have a higher score, this can be communicated, and they can ensure a prompt transfer to hospital.
Acknowledgments
The authors would like to thank Emma Redfern and Hein Le Roux for their support and clinical input during this project. They would also like to thank Danny Van Der Klee for leading the introduction of NEWS into the GP support team at the North Bristol Trust (NBT). Finally, they would like to thank information analysts at NBT, Angela Chung and William Ellis, for providing data for this project.
Notes
Funding
This research was jointly funded by the National Institute for Health Research (NIHR) Applied Research Collaboration West (ARC West) at University Hospitals Bristol NHS Foundation Trust and the West of England Academic Health Science Network. The views expressed are those of the authors and not necessarily those of NHS England, NHS Improvement, the NIHR, or the Department of Health and Social Care.
Ethical approval
Not applicable.
Provenance
Freely submitted; externally peer reviewed.
Competing interests
The authors have declared no competing interests.
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- Received October 7, 2019.
- Revision requested November 8, 2019.
- Accepted January 7, 2020.
- ©The Authors
This article is Open Access: CC BY-NC 4.0 licence (http://creativecommons.org/licences/by-nc/4.0/).
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