Literature DB >> 10557452

Assessing the performance of NHS hospital trusts: the role of 'hard' and 'soft' information.

M Goddard1, R Mannion, P C Smith.   

Abstract

Formal performance measurement systems have become a prominent feature throughout most of the public sector. The NHS is no exception and the government is developing and expanding on existing performance data to produce a new national framework which is to be at the heart of the 'performance-led' NHS. The success of formal performance measurement systems depends in part on the degree to which they can capture adequately relevant information within a quantitative framework. In this paper, we explore the use of formal, quantitative 'hard' information and informal, subjective 'soft' information in the assessment of the performance of NHS hospital Trusts by external organisations. Our empirical work is summarised into 3 main themes: (i) the use of 'soft' information as a complement to 'hard' information; (ii) the use of 'soft' information as a substitute for 'hard' information; and (iii) the use of 'hard' information as a safety net in the assessment of performance. We argue that 'soft' information plays a valuable role in the assessment of performance of NHS Trusts and note that this is also reflected in current practice in the private sector. We argue that one of the main functions of 'hard' information in performance assessment is to act as a safety net in order to identify laggards by highlighting poor performance. Rarely is it used as a means to encourage good performance or to identify best practice. Whilst the safety net function may indeed be useful, if the new national performance framework is to achieve its aim of promoting good performance, the limitations of formal systems will have to be taken into account. We argue that the advantages of 'soft' information in the NHS should be acknowledged, rather than trying to force it into a formal framework where the benefits may be nullified. However, we also warn against excessive reliance on 'soft' information and suggest that a balanced system which allows both 'hard' and 'soft' information to flourish is the optimal solution to performance assessment in the NHS.

Mesh:

Year:  1999        PMID: 10557452     DOI: 10.1016/s0168-8510(99)00035-4

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  11 in total

1.  Public release of performance data and quality improvement: internal responses to external data by US health care providers.

Authors:  H T Davies
Journal:  Qual Health Care       Date:  2001-06

2.  A performance assessment method for hospitals: the case of municipal hospitals in Angola.

Authors:  Joses M Kirigia; Ali Emrouznejad; Basilio Cassoma; Eyob Zere Asbu; Saidou Barry
Journal:  J Med Syst       Date:  2008-12       Impact factor: 4.460

3.  Performance measurement in healthcare: part I--concepts and trends from a State of the Science Review.

Authors:  Carol E Adair; Elizabeth Simpson; Ann L Casebeer; Judith M Birdsell; Katharine A Hayden; Steven Lewis
Journal:  Healthc Policy       Date:  2006-05

4.  Performance measurement in healthcare: part II--state of the science findings by stage of the performance measurement process.

Authors:  Carol E Adair; Elizabeth Simpson; Ann L Casebeer; Judith M Birdsell; Katharine A Hayden; Steven Lewis
Journal:  Healthc Policy       Date:  2006-07

5.  Assessing performance of Botswana's public hospital system: the use of the World Health Organization Health System Performance Assessment Framework.

Authors:  Onalenna Seitio-Kgokgwe; Robin Dc Gauld; Philip C Hill; Pauline Barnett
Journal:  Int J Health Policy Manag       Date:  2014-09-13

Review 6.  Clinical performance measurement: part 2--avoiding the pitfalls.

Authors:  Maria Goddard; Huw T O Davies; Diane Dawson; Russell Mannion; Fiona McInnes
Journal:  J R Soc Med       Date:  2002-11       Impact factor: 18.000

7.  Hospital board oversight of quality and safety: a stakeholder analysis exploring the role of trust and intelligence.

Authors:  Ross Millar; Tim Freeman; Russell Mannion
Journal:  BMC Health Serv Res       Date:  2015-06-16       Impact factor: 2.655

8.  Facilitators and Barriers to Safe Medication Administration to Hospital Inpatients: A Mixed Methods Study of Nurses' Medication Administration Processes and Systems (the MAPS Study).

Authors:  Monsey McLeod; Nicholas Barber; Bryony Dean Franklin
Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

9.  Performance evaluation of inpatient service in Beijing: a horizontal comparison with risk adjustment based on Diagnosis Related Groups.

Authors:  Weiyan Jian; Yinmin Huang; Mu Hu; Xiumei Zhang
Journal:  BMC Health Serv Res       Date:  2009-04-30       Impact factor: 2.655

10.  Beyond metrics? Utilizing 'soft intelligence' for healthcare quality and safety.

Authors:  Graham P Martin; Lorna McKee; Mary Dixon-Woods
Journal:  Soc Sci Med       Date:  2015-07-31       Impact factor: 4.634

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