Literature DB >> 12927439

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

Paul Aylin1, Nicky Best, Alex Bottle, Clare Marshall.   

Abstract

As part of the investigations into the crimes of Harold Shipman, it has become clear that there is little monitoring of deaths in general practice. By use of data on annual deaths at family physician and practice level for five English health authorities for 1993-99, we investigate whether cumulative sum charts (a type of statistical process control chart) could be used to create a workable monitoring system. On such charts, thresholds for deaths can be set, which, if crossed, may indicate a potential problem. We chose thresholds based on empirical calculations of the probabilities of false and successful detection after allowing for multiple testing over physicians or practices. We also statistically adjusted the charts for extra-Poisson variation due to unmeasured case mix. Of 1009 family physicians, 33 (including Shipman) crossed the alarm threshold designed to detect a 2 SD increase in standardised mortality, with 97% successful detection and a 5% false-alarm rate. Poor data quality, plus factors such as the proportion of patients treated by these physicians in nursing homes or hospices are likely explanations for most of these additional alarms. If used appropriately, such charts represent a useful tool for monitoring deaths in primary care. However, improvement in data quality is essential.

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Year:  2003        PMID: 12927439     DOI: 10.1016/S0140-6736(03)14077-9

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  20 in total

1.  Investigation into GPs with high patient mortality: monitoring death rates will become increasingly complex.

Authors:  Julie Billett; Nick Kendall; Peter Old
Journal:  BMJ       Date:  2004-08-07

2.  A method for detecting runs of good and bad clinical outcomes on Variable Life-Adjusted Display (VLAD) charts.

Authors:  Chris Sherlaw-Johnson
Journal:  Health Care Manag Sci       Date:  2005-02

3.  Monitoring surgical and medical outcomes: the Bernoulli cumulative SUM chart. A novel application to assess clinical interventions.

Authors:  G Leandro; N Rolando; G Gallus; K Rolles; A K Burroughs
Journal:  Postgrad Med J       Date:  2005-10       Impact factor: 2.401

4.  Impact of nursing home deaths on life expectancy calculations in small areas.

Authors:  Edward S Williams; Hywell Dinsdale; Daniel Eayres; Farhang Tahzib
Journal:  J Epidemiol Community Health       Date:  2004-11       Impact factor: 3.710

5.  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

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

Authors:  Mohammed A Mohammed; Kathryn Booth; David Marshall; Máire Brolly; Tom Marshall; Kar-Keung Cheng; Martin Hayes; Sandy Fitzpatrick
Journal:  Br J Gen Pract       Date:  2005-09       Impact factor: 5.386

7.  Handling over-dispersion of performance indicators.

Authors:  D J Spiegelhalter
Journal:  Qual Saf Health Care       Date:  2005-10

Review 8.  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

9.  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

10.  Monitoring patient safety in general practice: the increasing role of GPs.

Authors:  Brian Jarman
Journal:  Br J Gen Pract       Date:  2013-08       Impact factor: 5.386

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