Dataset Information

Recognition of the deteriorating patient.

ABSTRACT: Following Sir Bruce Keogh's review of 14 NHS Trusts, Buckinghamshire NHS Trust was found to have higher mortality rates than the England average. As part of a series of implementations and investigations to address this, a quality improvement project looking at clinical responses to the deteriorating patients was designed. Buckinghamshire NHS Trust utilises the National Early Warning Score (NEWS) metric for observations and escalation, and this was the standard used for the project. Episodes were eligible for inclusion if the NEWS score was increased to 5 or above. Data was collected by junior doctors from acute wards across the trust using notes and charts available. The initial cycle identified that in 57% of cases the high NEWS was escalated for review. Only half of cases were reviewed by a doctor; only a third were reviewed within an hour. In only 20% of cases were all criteria of the NEWS guidelines met. The first intervention was through education. After this, the project was completed on a monthly basis for 6 months with additional interventions introduced, including increased medical staff availability, grand round presentations, and increased outreach provision. Over this 6 month period, there was an increase to 87% of cases being reviewed by a doctor of appropriate seniority. Whilst this is a surrogate for reducing mortality and improving the clinical care given in the hospital, these results suggest successful interventions for improving clinical response to deteriorating patients across the trust. The project has recruited a new cohort of juniors to continue the quality improvement cycle.

SUBMITTER: Spiers L

PROVIDER: S-EPMC4645861 | biostudies-other | 2015

REPOSITORIES: biostudies-other

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Recognition of the deteriorating patient.

Spiers Laura L Singh Mohal Jagdeep J Pearson-Stuttard Jonathan J Greenlee Hannah H Carmichael Juliet J Busher Rebecca R

BMJ quality improvement reports 20150325 1

Following Sir Bruce Keogh's review of 14 NHS Trusts, Buckinghamshire NHS Trust was found to have higher mortality rates than the England average. As part of a series of implementations and investigations to address this, a quality improvement project looking at clinical responses to the deteriorating patients was designed. Buckinghamshire NHS Trust utilises the National Early Warning Score (NEWS) metric for observations and escalation, and this was the standard used for the project. Episodes wer ...[more]

PMID: 26734344

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Project description:Electronic health records (EHR) are becoming increasingly integrated into the clinical environment. With the rapid proliferation of EHRs, a number of studies document an increase in adverse patient safety issues due to the EHR-user interface. Because of these issues, greater attention has been placed on novel educational activities which incorporate use of the EHR. The ICU environment presents many challenges to integrating an EHR given the vast amounts of data recorded each day, which must be interpreted to deliver safe and effective care. We have used a novel EHR based simulation exercise to demonstrate that everyday users fail to recognize a majority of patient safety issues in the ICU. We now sought to determine whether participation in the simulation improves recognition of said issues.Two ICU cases were created in our EHR simulation environment. Each case contained 14 safety issues, which differed in content but shared common themes. Residents were given 10 minutes to review a case followed by a presentation of management changes. Participants were given an immediate debriefing regarding missed issues and strategies for data gathering in the EHR. Repeated testing was performed in a cohort of subjects with the other case at least 1 week later.116 subjects have been enrolled with 25 subjects undergoing repeat testing. There was no difference between cases in recognition of patient safety issues (39.5% vs. 39.4%). Baseline performance for subjects who participated in repeat testing was no different than the cohort as a whole. For both cases, recognition of safety issues was significantly higher among repeat participants compared to first time participants. Further, individual performance improved from 39.9% to 63.6% (p?=?0.0002), a result independent of the order in which the cases were employed. The degree of improvement was inversely related to baseline performance. Further, repeat participants demonstrated a higher rate of recognition of changes in vitals, misdosing of antibiotics and oversedation compared to first time participants.Participation in EHR simulation improves EHR use and identification of patient safety issues.

Project description:ImportanceMultiple studies have evaluated associations between post-cochlear implant (CI) speech recognition outcomes and patient-related factors. Current literature often appears equivocal or contradictory, so little is known about the factors that contribute to successful speech recognition outcomes with CIs.ObjectiveTo use a meta-analysis to pool data from the extant literature and provide an objective summary of existing evidence on associations of patient-related factors and CI speech recognition outcomes.Data sourcesA literature search was performed using PubMed, Scopus, and CINAHL databases in January 2019 using the following search terms: cochlear implant or cochlear implants or cochlear implantation and speech recognition or word recognition or sentence recognition. Studies of postlingually deafened adult CI recipients that reported word or sentence recognition scores were included.Study selectionInclusion criteria were postlingual adult CI recipients 18 years or older with word or sentence recognition scores at minimum 6-month postimplantation. Studies that included patients undergoing revision or reimplantation surgery were excluded.Data extraction and synthesisFollowing the Preferred Reporting Items for Systemic Reviews and Meta-analyses (PRISMA) guidelines, 1809 unique articles underwent review by abstract, and 121 articles underwent full-text review, resulting in 13 articles of 1095 patients for a meta-analysis of correlations. Random-effects model was used when the heterogeneity test yielded a low P value (P < .05).Main outcomes and measuresThe planned primary outcome was the pooled correlation values between postimplant speech recognition scores and patient-related factors.ResultsOf the 1095 patients included from the 13 studies, the mean age at implantation ranged from 51.2 to 63.7 years and the mean duration of hearing loss ranged from 9.5 to 31.8 years; for the 825 patients for whom sex was reported, 421 (51.0%) were women. A weak negative correlation was observed between age at implantation and postimplant sentence recognition in quiet (r = -0.31 [95% CI, -0.41 to -0.20]). Other correlations between patient-related factors and postimplant word or sentence recognition were statistically significant, but all correlations were absent to negligible (r = 0.02-0.27).Conclusions and relevanceGiven that most associations were weak, negligible, or absent, patient-related factors often thought to affect CI speech recognition ability offer limited assistance in clinical decision-making in cochlear implantation. Additional research is needed to identify patient-related and other factors that predict CI outcomes, including speech recognition and other important variables related to success with CIs.

Dataset Information

Recognition of the deteriorating patient.

Publications

Recognition of the deteriorating patient.

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