Evidence map›Paper›PMID 29353103›Full record

ArticleSocial science & medicine (1982)2018

Taking the heat or taking the temperature? A qualitative study of a large-scale exercise in seeking to measure for improvement, not blame.

Natalie Armstrong, Liz Brewster, Carolyn Tarrant, Ruth Dixon, Janet Willars, Maxine Power, Mary Dixon-Woods

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

7 authors.

Natalie ArmstrongDepartment of Health Sciences, University of Leicester, Leicester, UK. Electronic address: Natalie.Armstrong@le.ac.uk.
Liz BrewsterLancaster Medical School, Lancaster University, Lancaster, UK.
Carolyn TarrantDepartment of Health Sciences, University of Leicester, Leicester, UK.
Ruth DixonBlavatnik School of Government, University of Oxford, Oxford, UK; Department of Politics and International Relations, University of Oxford, Oxford, UK.
Janet WillarsDepartment of Health Sciences, University of Leicester, Leicester, UK.
Maxine PowerHaelo, Salford, UK.
Mary Dixon-WoodsThe Healthcare Improvement Studies (THIS) Institute, University of Cambridge, Cambridge, UK.

Funding

Wellcome Trust WT097899
6 · The paper itself

Abstract

Measurement of quality and safety has an important role in improving healthcare, but is susceptible to unintended consequences. One frequently made argument is that optimising the benefits from measurement requires controlling the risks of blame, but whether it is possible to do this remains unclear. We examined responses to a programme known as the NHS Safety Thermometer (NHS-ST). Measuring four common patient harms in diverse care settings with the goal of supporting local improvement, the programme explicitly eschews a role for blame. The study design was ethnographic. We conducted 115 hours of observation across 19 care organisations and conducted 126 interviews with frontline staff, senior national leaders, experts in the four harms, and the NHS-ST programme leadership and development team. We also collected and analysed relevant documents. The programme theory of the NHS-ST was based in a logic of measurement for improvement: the designers of the programme sought to avoid the appropriation of the data for any purpose other than supporting improvement. However, organisational participants - both at frontline and senior levels - were concerned that the NHS-ST functioned latently as a blame allocation device. These perceptions were influenced, first, by field-level logics of accountability and managerialism and, second, by specific features of the programme, including public reporting, financial incentives, and ambiguities about definitions that amplified the concerns. In consequence, organisational participants, while they identified some merits of the programme, tended to identify and categorise it as another example of performance management, rich in potential for blame. These findings indicate that the search to optimise the benefits of measurement by controlling the risks of blame remains challenging. They further suggest that a well-intentioned programme theory, while necessary, may not be sufficient for achieving goals for improvement in healthcare systems dominated by institutional logics that run counter to the programme theory.

Indexed as

AdolescentAdultAgedFemaleHumansLeadershipMaleMiddle AgedPatient SafetyProgram EvaluationQualitative ResearchQuality ImprovementState MedicineUnited KingdomYoung AdultHarm-free careImprovementMeasurementPatient safetyPerformance managementQualitative researchQualityUnited Kingdom

Identifiers

PMID29353103
PMCPMC5884319

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.