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BACKGROUND: We developed protocols to handover patients from day to hospital at night (H@N) teams. SETTING: NHS paediatric specialist hospital. METHOD: We observed four handover protocols (baseline, Phases 1, 2 and 3) over 2 years. A mixed-method study (observation, interviews, task analysis, prospective risk assessment, document and case note review) explored the impact of different protocols on performance. INTERVENTION: In Phase 1, a handover protocol was introduced to resolve problems with the baseline H@N handover. Following this intervention, two further revisions to the handover occurred, driven by staff feedback (Phases 2 and 3). RESULTS: Variations in performance between handover protocols on three process measures, start time efficiency, total length of handover, and number of distractions and interruptions, were identified. Univariate regression analysis showed statistically significant differences between handover protocols on two surrogate outcome measures: number of flagging omissions and the number of out of hours deteriorations (p=0.04 for Phase 3 vs Phase 1 for both measures (CI 1.04 to 4.08; CI 1.03 to 4.33), and for Phase 3 vs Phase 2 (p=0.006 and p=0.001 (CI 1.22 to 5.15; CI 1.62 to 9.0)), respectively). The Phase 1 and 2 handover protocols were effective at identifying patients whose clinical condition warranted review overnight. Performance on both surrogate outcome measures, length of handover and distractions, deteriorated in Phase 3. CONCLUSIONS: A carefully designed prioritisation process within the H@N handover can be effective at flagging acutely unwell patients. However, the protocol we introduced was unsustainable. In a complex healthcare system, sustainable implementation of new processes may be threatened by conflicting goals.

Original publication

DOI

10.1136/postgradmedj-2013-002146rep

Type

Journal article

Journal

Postgrad Med J

Publication Date

09/2014

Volume

90

Pages

493 - 501

Keywords

Communication, Hand-off, Healthcare quality improvement, Human factors, Implementation science