Midwives and visiting medical officers (VMOs) in private practice have a unique relationship within the private hospital setting. The effective exchange of accurate information between them is a fundamental element of patient safety and is vital to the success of the clinical handover process.1-5 The midwife is reliant on information provided by the VMO, as a woman’s recent history and current condition will not always be available in the medical record. Throughout labour, birthing and the postnatal period, the VMO may be reliant on information gathered and communicated by the midwives providing care. This exchange of information sometimes occurs face-to-face, but more commonly occurs via telephone, as VMOs may work in multiple locations.
Thus, the effective transfer of accurate and appropriate patient information is a fundamental element of patient safety and quality care. The accuracy, timeliness and relevance of this information and the style of handover used is vital to the success of the handover process. The SHARED (situation, history, assessment, risk, expectation and documentation) project6 (see below) sought to develop, implement and evaluate a framework and support tools for improving clinical handover in two private maternity hospitals in Brisbane, the Mater Mothers’ Private Hospital (MMPH) and the Mater Private Hospital Redland (MPHR). The MMPH is a tertiary referral hospital birthing about 4500 babies a year. The MPHR is a small (60-bed) hospital that births about 450 babies per year. These hospitals offered an excellent context in which to develop and test a framework for clinical handover to enhance the safety and quality of maternity care.
Exchange of information (by telephone) between the midwife and the VMO when a change in the woman’s condition occurs; and
Handover from the recovery nurse or midwife to the unit/ward midwife after caesarean section.
These are times of potentially high risk of an adverse event if communication breaks down.
The modified handover trigger SHARED is a method for enhancing the quality and accuracy of information transferred between health care professionals. Each letter of the mnemonic represents an essential component of clinical handover and highlights the transfer of responsibility and accountability, not simply the transfer of information (Box).
A range of tools was developed to support the SHARED project:
Poster: a prompt within the clinical work area;
Swing tag: an easy-to-carry, easy-to-read, double-sided prompt of SHARED and its components;
Phone handover guide: to remind staff to be fully prepared before communicating around a critical situation or change in patient condition;
“I SHARED” sticker: placed in the patient’s chart along with documentation of the phone conversation, including expectations and plan of care; and
Clinical pathway inserts:7,8 to support the postoperative verbal handover process from the recovery room to ward staff.
Communication between doctors and nurses regarding your care; and
How staff worked together to care for you.
It was noted that, throughout the implementation of the SHARED framework, there was an overall reduction in reported clinical incidents in which communication failure was identified as a contributory factor. However, it is well documented that the use of clinical incident data is not a reliable measure, as its accuracy is variable.9
- Sara J Hatten-Masterson1
- Marnie L Griffiths2
- Clinical Safety and Quality Unit, Mater Health Services, Brisbane, QLD.
None identified.
- 1. Australian Council for Safety and Quality in Health Care. Clinical handover and patient safety: literature review report. Canberra: ACSQHC, 2005. http://www.health.gov.au/internet/safety/publishing.nsf/Content/AA1369AD4AC5FC2ACA2571BF0081CD95/$File/clinhovrlitrev.pdf (accessed Mar 2009).
- 2. World Health Organization Collaborating Centre for Patient Safety Solutions. Communication during patient hand-overs. Patient Saf Solutions 2007; 1 (Solution 3): 1-4. http://www.ccforpatientsafety.org/common/pdfs/fpdf/presskit/PS-Solution3.pdf (accessed Mar 2009).
- 3. Association of Perioperative Registered Nurses. “Hand-off” toolkit to improve transitions in care within the perioperative environment. http://www.aorn.org/docs_assets/55B250E0-9779-5C0D-1DDC8177C9B4C8EB/44F40E88-17A4-49A8-86B64CAA80F91765/HandOff_Executive.pdf (accessed Feb 2008).
- 4. Pothier D, Monteiro P, Mooktiar M, Shaw A. Pilot study to show the loss of important data in nursing handover. Br J Nurs 2005; 14: 1090-1093.
- 5. Sabir N, Yentis S, Holdcroft A. A national survey of obstetric anaesthetic handovers. Anaesthesia 2006; 61: 376-380.
- 6. Australian Commission on Safety and Quality in Health Care. OSSIE guide to clinical handover improvement. Sydney: ACSQHC, 2009: 9-10. http://www.safetyandquality.gov.au/internet/safety/publishing.nsf/Content/D0CEDF80C4623FF2CA25757D007F7828/$File/OSSIE.pdf (accessed Mar 2009).
- 7. Milliman care guidelines: inpatient and surgical care. Seattle: Milliman Company, 2008. http://www.careguidelines.com/products/isc.shtml (accessed Apr 2009).
- 8. Milliman care guidelines: home care. Seattle: Milliman Company, 2008. http://www.careguidelines.com/products/hc.shtml (accessed Apr 2009).
- 9. Schmidek JM, Weeks WB. Relationship between tort claims and patient incident reports in the Veterans Health Administration. Qual Saf Health Care 2005; 14: 117-122.
Abstract
Midwives and visiting medical officers have a unique relationship within private hospital maternity settings. The effective exchange of accurate information between them is a fundamental element of patient safety and is vital to the success of the clinical handover process.
The SHARED (situation, history, assessment, risk, expectation, documentation) project developed, implemented and evaluated a framework and support tools for improving clinical handover in two private maternity hospitals.
The project included a pre- and post-study design using clinician surveys, chart audits, patient satisfaction surveys and a review of clinical incident data.
A standardised approach to handover, using the SHARED framework with a standardised minimum dataset, improves the accuracy and appropriateness of information.