Evidence map›Paper›PMID 24903604›Full record

ArticleBMC health services research2014

Practice-centred evaluation and the privileging of care in health information technology evaluation.

Mary Darking, Rachel Anson, Ferdinand Bravo, Julie Davis, Steve Flowers, Emma Gillingham, Lawrence Goldberg, Paul Helliwell, Flis Henwood, Claire Hudson and 3 more

Abstract read
In one paragraph

Article in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Mary DarkingSchool of Applied Social Science, Faculty of Health, University of Brighton, Mayfield House, Falmer BN1 9PH, UK. m.l.darking@brighton.ac.uk.
Rachel Anson
Ferdinand Bravo
Julie Davis
Steve Flowers
Emma Gillingham
Lawrence Goldberg
Paul Helliwell
Flis Henwood
Claire Hudson
Simon Latimer
Paul Lowes
Ian Stirling

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledOur contribution, drawn from our experience of the case study provided, is a protocol for practice-centred, participative evaluation of technology in the clinical setting that privileges care. In this context 'practice-centred' evaluation acts as a scalable, coordinating framework for evaluation that recognises health information technology supported care as an achievement that is contingent and ongoing. We argue that if complex programmes of technology-enabled service innovation are understood in terms of their contribution to patient care and supported by participative, capability-building evaluation methodologies, conditions are created for practitioners and patients to realise the potential of technologies and make substantive contributions to the evidence base underpinning health innovation programmes.

backgroundElectronic Patient Records (EPRs) and telemedicine are positioned by policymakers as health information technologies that are integral to achieving improved clinical outcomes and efficiency savings. However, evaluating the extent to which these aims are met poses distinct evaluation challenges, particularly where clinical and cost outcomes form the sole focus of evaluation design. We propose that a practice-centred approach to evaluation - in which those whose day-to-day care practice is altered (or not) by the introduction of new technologies are placed at the centre of evaluation efforts - can complement and in some instances offer advantages over, outcome-centric evaluation models.

methodsWe carried out a regional programme of innovation in renal services where a participative approach was taken to the introduction of new technologies, including: a regional EPR system and a system to support video clinics. An 'action learning' approach was taken to procurement, pre-implementation planning, implementation, ongoing development and evaluation. Participants included clinicians, technology specialists, patients and external academic researchers. Whilst undergoing these activities we asked: how can a practice-centred approach be embedded into evaluation of health information technologies? DISCUSSION: Organising EPR and telemedicine evaluation around predetermined outcome measures alone can be impractical given the complex and contingent nature of such projects. It also limits the extent to which unforeseen outcomes and new capabilities are recognised. Such evaluations often fail to improve understanding of 'when' and 'under what conditions' technology-enabled service improvements are realised, and crucially, how such innovation improves care. SUMMARY: Our contribution, drawn from our experience of the case study provided, is a protocol for practice-centred, participative evaluation of technology in the clinical setting that privileges care. In this context 'practice-centred' evaluation acts as a scalable, coordinating framework for evaluation that recognises health information technology supported care as an achievement that is contingent and ongoing. We argue that if complex programmes of technology-enabled service innovation are understood in terms of their contribution to patient care and supported by participative, capability-building evaluation methodologies, conditions are created for practitioners and patients to realise the potential of technologies and make substantive contributions to the evidence base underpinning health innovation programmes.

Indexed as

Electronic Health RecordsMedical InformaticsOrganizational InnovationTechnology Assessment, BiomedicalTelemedicineCapacity BuildingEnglandHumansKidney DiseasesModels, OrganizationalOutcome and Process Assessment, Health CareProgram DevelopmentProgram EvaluationRegional Health PlanningRegional Medical Programs

Identifiers

PMID24903604
PMCPMC4086282

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.