Literature DB >> 16176733

A practical method for monitoring general practice mortality in the UK: findings from a pilot study in a health board of Northern Ireland.

Mohammed A Mohammed1, Kathryn Booth, David Marshall, Máire Brolly, Tom Marshall, Kar-Keung Cheng, Martin Hayes, Sandy Fitzpatrick.   

Abstract

BACKGROUND: The Baker report into Dr Harold Shipman's murders recommended monitoring mortality in general practice, but there is currently no practical method available to implement this. AIM: To monitor mortality rates in response to the Baker report and to use the data to improve quality of care. DESIGN OF STUDY: Prospective mortality monitoring study.
SETTING: Eastern Health and Social Services Board, Northern Ireland.
METHOD: Linked quarterly mortality data from 1994-2001 were compiled for 114 general practices in Eastern Health and Social Services Board in Northern Ireland. Cross-sectional control charts compared crude and adjusted mortality rates across all the practices. Longitudinal control charts analysed quarterly mortality rates over 28 quarters within each practice. Practices were sent their own control charts and invited to feedback workshops. Special cause variation in mortality was investigated as follows: checks on data, case-mix, practice structures, processes of care and finally individual carers.
RESULTS: Age, sex and deprivation adjusted cross-sectional control charts identified 18 practices as showing special cause variation in their mortality (11 high and 7 low). Assignable causes were found for all high special cause practices: large numbers of nursing home patients (six practices), very high levels of deprivation and high morbidity not captured by our case-mix adjustment (five practices). For three of seven low special cause practices, case-mix adjustment underestimated affluence and overestimated morbidity levels. Feedback indicated widespread support for the principle of monitoring, but concerns about the public disclosure of mortality data.
CONCLUSIONS: We have successfully developed and piloted a general practice mortality monitoring system with the support and participation of local stakeholders. This used control charts for analysis and followed a scientific strategy for investigating special cause variation.

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Year:  2005        PMID: 16176733      PMCID: PMC1464080     

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


  16 in total

1.  Bristol, Shipman, and clinical governance: Shewhart's forgotten lessons.

Authors:  M A Mohammed; K K Cheng; A Rouse; T Marshall
Journal:  Lancet       Date:  2001-02-10       Impact factor: 79.321

2.  Understanding variation for clinical governance: an illustration using the diagnosis and treatment of sore throat.

Authors:  Tom Marshall; Mohammed A Mohammed; Hei Toon Lim
Journal:  Br J Gen Pract       Date:  2002-04       Impact factor: 5.386

3.  Monitoring mortality rates in general practice after Shipman.

Authors:  Richard Baker; David R Jones; Peter Goldblatt
Journal:  BMJ       Date:  2003-02-01

4.  Monitoring the death rates of general practitioners' patients in a single health authority.

Authors:  David C Pinder
Journal:  J Public Health Med       Date:  2002-09

5.  Following Shipman: a pilot system for monitoring mortality rates in primary care.

Authors:  Paul Aylin; Nicky Best; Alex Bottle; Clare Marshall
Journal:  Lancet       Date:  2003-08-09       Impact factor: 79.321

6.  Use and misuse of process and outcome data in managing performance of acute medical care: avoiding institutional stigma.

Authors:  Richard Lilford; Mohammed A Mohammed; David Spiegelhalter; Richard Thomson
Journal:  Lancet       Date:  2004-04-03       Impact factor: 79.321

7.  The risks of risk adjustment.

Authors:  L I Iezzoni
Journal:  JAMA       Date:  1997-11-19       Impact factor: 56.272

8.  A randomized controlled trial of league tables and control charts as aids to health service decision-making.

Authors:  Tom Marshall; Mohammed A Mohammed; Andrew Rouse
Journal:  Int J Qual Health Care       Date:  2004-08       Impact factor: 2.038

9.  An investigation into general practitioners associated with high patient mortality flagged up through the Shipman inquiry: retrospective analysis of routine data.

Authors:  Mohammed A Mohammed; Anthony Rathbone; Paulette Myers; Divya Patel; Helen Onions; Andrew Stevens
Journal:  BMJ       Date:  2004-06-19

10.  Risk-adjusted sequential probability ratio tests: applications to Bristol, Shipman and adult cardiac surgery.

Authors:  David Spiegelhalter; Olivia Grigg; Robin Kinsman; Tom Treasure
Journal:  Int J Qual Health Care       Date:  2003-02       Impact factor: 2.038

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  5 in total

1.  Can mortality monitoring in general practice be made to work?

Authors:  Bruce Guthrie
Journal:  Br J Gen Pract       Date:  2005-09       Impact factor: 5.386

Review 2.  Making use of mortality data to improve quality and safety in general practice: a review of current approaches.

Authors:  Richard Baker; Emma Sullivan; Janette Camosso-Stefinovic; Aly Rashid; Azhar Farooqi; Hanna Blackledge; Justin Allen
Journal:  Qual Saf Health Care       Date:  2007-04

3.  Primary healthcare teams' views on using mortality data to review clinical policies.

Authors:  Emma Sullivan; Richard Baker; David Jones; Hanna Blackledge; Aly Rashid; Azhar Farooqi; Justin Allen
Journal:  Qual Saf Health Care       Date:  2007-10

4.  Routine mortality monitoring for detecting mass murder in UK general practice: test of effectiveness using modelling.

Authors:  Bruce Guthrie; Tom Love; Rebecca Kaye; Margaret MacLeod; Jim Chalmers
Journal:  Br J Gen Pract       Date:  2008-05       Impact factor: 5.386

5.  Developing performance indicators for primary care: Walsall's experience.

Authors:  Narinder Sahota; Andrew Hood; Anandagiri Shankar; Barbara Watt; Sam Ramaiah
Journal:  Br J Gen Pract       Date:  2008-12       Impact factor: 5.386

  5 in total

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