Rapid evaluation for health and social care innovations: challenges for "quick wins" using interrupted time series.


Journal

BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677

Informations de publication

Date de publication:
13 Dec 2019
Historique:
received: 09 07 2019
accepted: 09 12 2019
entrez: 15 12 2019
pubmed: 15 12 2019
medline: 28 3 2020
Statut: epublish

Résumé

Rapid evaluation was at the heart of National Health Service England's evaluation strategy of the new models of care vanguard programme. This was to facilitate the scale and spread of successful models of care throughout the health & social care system. The aim of this paper is to compare the findings of the two evaluations of the Enhanced health in Care Homes (EHCH) vanguard in Gateshead, one using a smaller data set for rapidity and one using a larger longitudinal data set and to investigate the implications of the use of rapid evaluations using interrupted time series (ITS) methods. A quasi-experimental design study in the form of an ITS was used to evaluate the impact of the vanguard on secondary care use. Two different models are presented differing by timeframes only. The short-term model consisted of data for 11 months data pre and 20 months post vanguard. The long-term model consisted of data for 23 months pre and 34 months post vanguard. The cost consequences, including the cost of running the EHCH vanguard, were estimated using both a single tariff non-elective admissions methodology and a tariff per bed day methodology. The short-term model estimated a monthly cost increase of £73,408 using a single tariff methodology. When using a tariff per bed day, there was an estimated monthly cost increase of £14,315. The long-term model had, using a single tariff for non-elective admissions, an overall cost increase of £7576 per month. However, when using a tariff per bed-days, there was an estimated monthly cost reduction of £57,168. Although it is acknowledged that there is often a need for rapid evaluations in order to identify "quick wins" and to expedite learning within health and social care systems, we conclude that this may not be appropriate for quasi-experimental designs estimating effect using ITS for complex interventions. Our analyses suggests that care must be taken when conducting and interpreting the results of short-term evaluations using ITS methods, as they may produce misleading results and may lead to a misallocation of resources.

Sections du résumé

BACKGROUND BACKGROUND
Rapid evaluation was at the heart of National Health Service England's evaluation strategy of the new models of care vanguard programme. This was to facilitate the scale and spread of successful models of care throughout the health & social care system. The aim of this paper is to compare the findings of the two evaluations of the Enhanced health in Care Homes (EHCH) vanguard in Gateshead, one using a smaller data set for rapidity and one using a larger longitudinal data set and to investigate the implications of the use of rapid evaluations using interrupted time series (ITS) methods.
METHODS METHODS
A quasi-experimental design study in the form of an ITS was used to evaluate the impact of the vanguard on secondary care use. Two different models are presented differing by timeframes only. The short-term model consisted of data for 11 months data pre and 20 months post vanguard. The long-term model consisted of data for 23 months pre and 34 months post vanguard.
RESULTS RESULTS
The cost consequences, including the cost of running the EHCH vanguard, were estimated using both a single tariff non-elective admissions methodology and a tariff per bed day methodology. The short-term model estimated a monthly cost increase of £73,408 using a single tariff methodology. When using a tariff per bed day, there was an estimated monthly cost increase of £14,315. The long-term model had, using a single tariff for non-elective admissions, an overall cost increase of £7576 per month. However, when using a tariff per bed-days, there was an estimated monthly cost reduction of £57,168.
CONCLUSIONS CONCLUSIONS
Although it is acknowledged that there is often a need for rapid evaluations in order to identify "quick wins" and to expedite learning within health and social care systems, we conclude that this may not be appropriate for quasi-experimental designs estimating effect using ITS for complex interventions. Our analyses suggests that care must be taken when conducting and interpreting the results of short-term evaluations using ITS methods, as they may produce misleading results and may lead to a misallocation of resources.

Identifiants

pubmed: 31836001
doi: 10.1186/s12913-019-4821-7
pii: 10.1186/s12913-019-4821-7
pmc: PMC6911271
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

964

Références

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Am J Community Psychol. 2009 Jun;43(3-4):267-76
pubmed: 19390961
J Clin Pharm Ther. 2002 Aug;27(4):299-309
pubmed: 12174032
Acad Pediatr. 2013 Nov-Dec;13(6 Suppl):S38-44
pubmed: 24268083
Int J Technol Assess Health Care. 2003 Fall;19(4):613-23
pubmed: 15095767
Int J Epidemiol. 2018 Dec 1;47(6):2082-2093
pubmed: 29982445

Auteurs

Andrew McCarthy (A)

Department of Health and Life Sciences, Northumbria University, Coach Lane Campus West, Newcastle Upon Tyne, NE77XA, UK. andrew2.mccarthy@northumbria.ac.uk.

Peter McMeekin (P)

Department of Health and Life Sciences, Northumbria University, Coach Lane Campus West, Newcastle Upon Tyne, NE77XA, UK.
Institute of Health and Wellbeing, Glasgow University, 1 Lily bank Gardens, Glasgow, G12 8RZ, UK.

Shona Haining (S)

Head of Research & Evidence, North of England Commissioning Support (NECS), Riverside House, Goldcrest Way, Newburn Riverside, Newcastle, NE15 8NY, UK.

Lesley Bainbridge (L)

NHS Newcastle Gateshead Clinical Commissioning Group, Riverside House, Goldcrest Way, Newcastle upon Tyne, NE1 8NY, UK.

Claire Laing (C)

Business Intelligence, North of England Commissioning Support, John Snow House, Durham, DH1 3YG, UK.

Joanne Gray (J)

Department of Health and Life Sciences, Northumbria University, Coach Lane Campus West, Newcastle Upon Tyne, NE77XA, UK.

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Classifications MeSH