Evidence map›Paper›PMID 35477868›Full record

Trial reportBMJ open2022

Public opinion on sharing data from health services for clinical and research purposes without explicit consent: an anonymous online survey in the UK.

Linda A Jones, Jenny R Nelder, Joseph M Fryer, Philip H Alsop, Michael R Geary, Mark Prince, Rudolf N Cardinal

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 3% of its field
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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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 at 1 institution in 1 country.

Linda A JonesDepartment of Psychiatry, University of Cambridge, Cambridge, UK.ORCID 0000-0001-9347-5715
Jenny R NelderDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Joseph M FryerDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Philip H AlsopCambridge, UK.
Michael R GearyCambridge, UK.
Mark PrinceCambridge, UK.
Rudolf N CardinalDepartment of Psychiatry, University of Cambridge, Cambridge, UK rnc1001@cam.ac.uk.ORCID 0000-0002-8751-5167
University of Cambridge · GB

Funding

Department of HealthMedical Research Council MC_PC_17213Medical Research Council MR/W014386/1
6 · The paper itself

Abstract

objectivesUK National Health Service/Health and Social Care (NHS/HSC) data are variably shared between healthcare organisations for direct care, and increasingly de-identified for research. Few large-scale studies have examined public opinion on sharing, including of mental health (MH) versus physical health (PH) data. We measured data sharing preferences. DESIGN/SETTING/INTERVENTIONS/OUTCOMES: Pre-registered anonymous online survey, measuring expressed preferences, recruiting February to September 2020. Participants were randomised to one of three framing statements regarding MH versus PH data.

participantsOpen to all UK residents. Participants numbered 29 275; 40% had experienced an MH condition.

resultsMost (76%) supported identifiable data sharing for direct clinical care without explicit consent, but 20% opposed this. Preference for clinical/identifiable sharing decreased with geographical distance and was slightly less for MH than PH data, with small framing effects. Preference for research/de-identified data sharing without explicit consent showed the same small PH/MH and framing effects, plus greater preference for sharing structured data than de-identified free text. There was net support for research sharing to the NHS, academic institutions, and national research charities, net ambivalence about sharing to profit-making companies researching treatments, and net opposition to sharing to other companies (similar to sharing publicly). De-identified linkage to non-health data was generally supported, except to data held by private companies. We report demographic influences on preference. A majority (89%) supported a single NHS mechanism to choose uses of their data. Support for data sharing increased during COVID-19.

conclusionsSupport for healthcare data sharing for direct care without explicit consent is broad but not universal. There is net support for the sharing of de-identified data for research to the NHS, academia, and the charitable sector, but not the commercial sector. A single national NHS-hosted system for patients to control the use of their NHS data for clinical purposes and for research would have broad support. TRIAL REGISTRATION NUMBER: ISRCTN37444142.

Indexed as

COVID-19Public OpinionHealth ServicesHumansInformation DisseminationInformed ConsentState MedicineUnited Kingdomhealth informaticshealth policyinformation managementmental health

Identifiers

PMID35477868
PMCPMC9058801
OpenAlexW4225101392

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.