ArticleSociology of health & illness2020
Wild data: how front-line hospital staff make sense of patients' experiences.
Article in Sociology of health & illness, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 36 citations in OpenAlex.
- Participatory codesign of patient involvement in a Learning Health System: How can data-driven care be patient-driven care?Health expectations : an international journal of public participation in health care and health policy · 2022Article
- 'Team ethnography visual maps': Methods for identifying the ethnographic object in multiple sites of fieldwork.Ethnography · 2021Article
- Article
- Robots in Healthcare? What Patients Say.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
Abstract
Patient-centred care has become the touchstone of healthcare policy in developed healthcare systems. The ensuing commodification of patients' experiences has resulted in a mass of data but little sense of whether and how such data are used. We sought to understand how front-line staff use patient experience data for quality improvement in the National Health Service (NHS). We conducted a 12-month ethnographic case study evaluation of improvement projects in six NHS hospitals in England in 2016-2017. Drawing on the sociology of everyday life, we show how front-line staff worked with a notion of data as interpersonal and embodied. In addition to consulting organisationally sanctioned forms of data, staff used their own embodied interactions with patients, carers, other staff and the ward environment to shape improvements. The data staff found useful involved face-to-face interaction and dialogue; were visual, emotive, and allowed for immediate action. We draw on de Certeau to re-conceptualise this as 'wild data'. We conclude that patient experience data are relational, and have material, social and affective dimensions, which have been elided in the literature to date. Practice-based theories of the everyday help to envision 'patient experience' not as a disembodied tool of managerialism but as an embedded part of healthcare staff professionalism.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.