Literature DB >> 17913777

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

Emma Sullivan1, Richard Baker, David Jones, Hanna Blackledge, Aly Rashid, Azhar Farooqi, Justin Allen.   

Abstract

BACKGROUND AND
OBJECTIVE: A UK-wide scheme to monitor mortality in general practices has been recommended to improve safety. A monitoring scheme might also have a role in improving quality by informing clinical policies. This study investigated the views of primary care teams on the desirable characteristics of mortality data to help them review and plan their clinical policies.
SETTING: 10 general practices in Leicestershire, UK.
METHODS: Development of a format for presentation of mortality data for primary care teams, presentations of the data to team meetings, and subsequent interviews of 16 general practitioners and nurses to identify issues about the improvement and use of the data for informing clinical policies.
RESULTS: The presentation was important in helping teams to understand the data. Comparisons should be between practices with similar patient populations, and information provided on deaths from diseases potentially amenable to prevention through clinical intervention. Practice teams used the data in reflecting on their own clinical care.
CONCLUSIONS: Presentation of data about mortality in practice populations can enable practices to reflect on their clinical policies. The proposed national scheme for monitoring mortality should provide data in a format that helps teams to improve the quality of care as well as improve patient safety.

Entities:  

Mesh:

Year:  2007        PMID: 17913777      PMCID: PMC2464969          DOI: 10.1136/qshc.2006.022111

Source DB:  PubMed          Journal:  Qual Saf Health Care        ISSN: 1475-3898


  8 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.  Monitoring mortality rates in general practice after Shipman.

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

3.  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

4.  Monitoring mortality in general practice in Grampian, Scotland.

Authors:  A W Nimmo; G Peterkin; D R Coid
Journal:  Scott Med J       Date:  2004-05       Impact factor: 0.729

5.  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

Review 6.  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

7.  Creating a death register for general practice.

Authors:  A Berlin; R A Bhopal; J Spencer; T Van Zwanenberg
Journal:  Br J Gen Pract       Date:  1993-02       Impact factor: 5.386

8.  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

  8 in total
  4 in total

1.  Making haste slowly: the response to the Shipman Inquiry?

Authors:  Richard Baker
Journal:  Br J Gen Pract       Date:  2008-05       Impact factor: 5.386

2.  Rationalising data use for general practice: a missed opportunity?

Authors:  Louis S Levene; Nicola Walker; Richard Baker; Andrew Wilson; Catherine Honeyford
Journal:  Br J Gen Pract       Date:  2016-08       Impact factor: 5.386

3.  Estimating smoking prevalence in general practice using data from the Quality and Outcomes Framework (QOF).

Authors:  Kate Honeyford; Richard Baker; M John G Bankart; David R Jones
Journal:  BMJ Open       Date:  2014-07-16       Impact factor: 2.692

4.  Causes of death certification of adults: an exploratory cross-sectional study at a university hospital in Riyadh, Saudi Arabia.

Authors:  Lubna A Ansary; Samia A Esmaeil; Yaser A Adi
Journal:  Ann Saudi Med       Date:  2012 Nov-Dec       Impact factor: 1.526

  4 in total

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