Literature DB >> 24331895

Using programme budgeting and marginal analysis (PBMA) to set priorities: reflections from a qualitative assessment in an English Primary Care Trust.

Elizabeth Goodwin1, Emma J Frew2.   

Abstract

In England from 2002 to 2013, Primary Care Trusts (PCTs) were responsible for commissioning healthcare for their local populations. The NHS has recently undergone rapid organisational change whereby clinicians have assumed responsibility for local commissioning decisions. This change in commissioning arrangements alongside the current financial pressures facing the NHS provides an impetus for considering the use of technical prioritisation methods to enable the identification of savings without having a detrimental effect on the health of the population. This paper reports on the design and implementation of a technical prioritisation method termed PBMA applied within NHS Plymouth, an English PCT responsible for commissioning services for a population of approximately 270,000. We evaluated the effectiveness of the process, the extent to which it was appropriate for local healthcare commissioning and whether it identified budget savings. Using qualitative research methodology, we found the process produced clear strategic and operational priorities for 2010/11, providing staff with focus and structure, and delivered a substantial planned reduction in hospital activity levels. Participants expressed satisfaction with the process. NHS Plymouth adhered to the PBMA process, although concerns were raised about the evidence for some priorities, decibel rationing, and a lack of robust challenge at priority-setting meetings. Further work is required to enhance participants' understanding of marginal analysis. Participants highlighted several external benefits, particularly in terms of cultural change, and felt the process should encompass the whole local health and social care community. This evaluation indicates that the prioritisation method was effective in producing priorities for NHS Plymouth, and that PBMA provides an appropriate method for allocating resources at a local level. In order for PBMA to identify savings, cultural and structural barriers to disinvestment must be addressed. These findings will interest other healthcare commissioners in developing their own approaches to priority-setting.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Commissioning; Marginal analysis; Priority-setting; Programme budgeting; Resource allocation

Mesh:

Year:  2013        PMID: 24331895     DOI: 10.1016/j.socscimed.2013.09.020

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  8 in total

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Authors:  Brayan V Seixas; Craig Mitton
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3.  Identifying alternatives to old age psychiatry inpatient admission: an application of the balance of care approach to health and social care planning.

Authors:  Sue Tucker; Christian Brand; Mark Wilberforce; Michele Abendstern; David Challis
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4.  Evaluating healthcare priority setting at the meso level: A thematic review of empirical literature.

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Journal:  Wellcome Open Res       Date:  2018-01-08

Review 5.  Practices of decision making in priority setting and resource allocation: a scoping review and narrative synthesis of existing frameworks.

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6.  Describing practices of priority setting and resource allocation in publicly funded health care systems of high-income countries.

Authors:  Brayan V Seixas; Dean A Regier; Stirling Bryan; Craig Mitton
Journal:  BMC Health Serv Res       Date:  2021-01-27       Impact factor: 2.655

Review 7.  A scoping review of de-implementation frameworks and models.

Authors:  Callie Walsh-Bailey; Edward Tsai; Rachel G Tabak; Alexandra B Morshed; Wynne E Norton; Virginia R McKay; Ross C Brownson; Sheyna Gifford
Journal:  Implement Sci       Date:  2021-11-24       Impact factor: 7.960

Review 8.  Economic evaluations of alcohol prevention interventions: Is the evidence sufficient? A review of methodological challenges.

Authors:  Sarah R Hill; Luke Vale; David Hunter; Emily Henderson; Yemi Oluboyede
Journal:  Health Policy       Date:  2017-10-27       Impact factor: 2.980

  8 in total

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