Literature DB >> 27001167

Improving neurosurgical communication and reducing risk and registrar burden using a novel online database referral platform.

Samir A Matloob1, Jonathan A Hyam1, Lewis Thorne1, Robert Bradford1.   

Abstract

OBJECTIVES: Documentation of urgent referrals to neurosurgical units and communication with referring hospitals is critical for effective handover and appropriate continuity of care within a tertiary service. Referrals to our neurosurgical unit were audited and we found that the majority of referrals were not documented and this led to more calls to the on-call neurosurgery registrar regarding old referrals. We implemented a new referral system in an attempt to improve documentation of referrals, communication with our referring hospitals and to professionalise the service we offer them.
METHODS: During a 14-day period, number of bleeps, missed bleeps, calls discussing new referrals and previously processed referrals were recorded. Whether new referrals were appropriately documented and referrers received a written response was also recorded. A commercially provided secure cloud-based data archiving telecommunications and database platform for referrals was subsequently introduced within the Trust and the questionnaire repeated during another 14-day period 1 year after implementation.
RESULTS: Missed bleeps per day reduced from 16% (SD ± 6.4%) to 9% (SD ± 4.8%; df = 13, paired t-tests p = 0.007) and mean calls per day clarifying previous referrals reduced from 10 (SD ± 4) to 5 (SD ± 3.5; df = 13, p = 0.003). Documentation of new referrals increased from 43% (74/174) to 85% (181/210), and responses to referrals increased from 74% to 98%.
CONCLUSION: The use of a secure cloud-based data archiving telecommunications and database platform significantly increased the documentation of new referrals. This led to fewer missed bleeps and fewer calls about old referrals for the on call registrar. This system of documenting referrals results in improved continuity of care for neurosurgical patients, a significant reduction in risk for Trusts and a more efficient use of Registrar time.

Entities:  

Keywords:  Documentation; online database; referral; risk management

Mesh:

Year:  2016        PMID: 27001167     DOI: 10.3109/02688697.2016.1161171

Source DB:  PubMed          Journal:  Br J Neurosurg        ISSN: 0268-8697            Impact factor:   1.596


  4 in total

1.  The effect of an online referral system on referrals to bariatric surgery.

Authors:  Aristithes G Doumouras; Sama Anvari; Ruth Breau; Mehran Anvari; Dennis Hong; Scott Gmora
Journal:  Surg Endosc       Date:  2017-04-26       Impact factor: 4.584

Review 2.  The NORSe: changing the way we communicate.

Authors:  J Mehet; L C Sanchez Franco; I Gascon Conde; A Sanchez Campoy; R Thimmaiah; A Eldessouky; A Eldessouky; C E Uzoigwe; R Smith
Journal:  Ann R Coll Surg Engl       Date:  2018-03       Impact factor: 1.891

3.  Analyzing historical and future acute neurosurgical demand using an AI-enabled predictive dashboard.

Authors:  Anand S Pandit; Arif H B Jalal; Ahmed K Toma; Parashkev Nachev
Journal:  Sci Rep       Date:  2022-05-09       Impact factor: 4.996

4.  Referrers' point of view on the referral process to neurosurgery and opinions on neurosurgeons: a large-scale regional survey in the UK.

Authors:  Meriem Amarouche; Jonathan J Neville; Simon Deacon; Nida Kalyal; Nikita Adams; Beverly Cheserem; Daniel Curley; Ruth-Mary DeSouza; Fehmi Hafiz; Tanya Jayawardena; Nishi Khetani; Diana Matthews; Sophie Mustoe; Sabrina Okafor; Olivia Padfield; Ishani Rao; Reem Samir; Hyder Tahir; Benjamin Varghese; Christos Michael Tolias
Journal:  BMJ Open       Date:  2017-11-26       Impact factor: 2.692

  4 in total

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