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.
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.
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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.
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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.
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Who cites it
12 citing papers in PubMed.
- Seven lessons for financial incentivisation schemes in healthcare: a qualitative study of NHS Resolution's Maternity Incentive Scheme.Journal of the Royal Society of Medicine · 2026Article
- Evaluating for learning and sustainability (ELS) framework: a realist synthesis.BMC health services research · 2025Article
- Moving behavioral interventions in nursing homes from planning to action: a work system evaluation of a urinary tract infection toolkit implementation.Implementation science communications · 2023Article
- Introducing quality clusters in general practice - a qualitative study of the experiences of cluster coordinators.BMC primary care · 2022Article
- Incentivizing performance in health care: a rapid review, typology and qualitative study of unintended consequences.BMC health services research · 2022Review
- Ethnographic research as an evolving method for supporting healthcare improvement skills: a scoping review.BMC medical research methodology · 2021Article
- Developing Healthcare Team Observations for Patient Safety (HTOPS): senior medical students capture everyday clinical moments.Pilot and feasibility studies · 2021Article
- Clinical negligence costs: taking action to safeguard NHS sustainability.BMJ (Clinical research ed.) · 2020Article
- Article
- Senior stakeholder views on policies to foster a culture of openness in the English National Health Service: a qualitative interview study.Journal of the Royal Society of Medicine · 2019Article
- An ethnographic study of improving data collection and completeness in large-scale data exercises.Wellcome open research · 2019Article
- Harveian Oration 2018: Improving quality and safety in healthcare .Clinical medicine (London, England) · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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.
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Registered trials
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