Evidence map›Paper›PMID 38323148›Full record

ArticlemHealth2024

Walk a mile in my shoes: perspectives towards sharing of health and experience data among individuals living with sickle cell disorder.

Simon Leigh, Rebecca Baines, Sebastian Stevens, Zainab Garba-Sani, Daniella Austin, Arunangsu Chatterjee

Abstract read
In one paragraph

Article in mHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Simon LeighPrometheus Health Technologies, Mor Workspace, Newquay, UK.
Rebecca BainesCentre for Health Technology, University of Plymouth, Plymouth, UK.
Sebastian StevensPrometheus Health Technologies, Mor Workspace, Newquay, UK.
Zainab Garba-SaniPrometheus Health Technologies, Mor Workspace, Newquay, UK.
Daniella AustinSchool of Psychology, Faculty of Health, University of Plymouth, Plymouth, UK.
Arunangsu ChatterjeeCentre for Health Technology, University of Plymouth, Plymouth, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Advancements in digital health technologies (DHTs) mean people are increasingly recording and managing personal health data. As observed during the COVID-19 pandemic, sharing of such data may provide unrivalled opportunities in advancing our understanding of conditions otherwise poorly understood, including rare conditions. Methods: A semi-structured focus group (n=25) explored perspectives and experiences of sharing health data among those with a group of rare haematological conditions, sickle cell disorder (SCD). The focus group explored (I) what 'feeling well' looks like; (II) how this could be monitored using DHTs; (III) which data healthcare professionals (HCPs) should pay greater attention to and; (IV) types of data willing to be shared, with whom, and under which conditions. Key themes were further assessed via an online survey (n=50). Results: Patient-relevant measures of condition-management focused on " Conclusions: Those living with the rare condition SCD were supportive of collecting and sharing data to foster research and improve understanding and outcomes. However, specific requirements were identified to respect privacy and informational needs regarding future use of data. DHTs can be a valuable tool in improving understanding of the day-to-day impact of health conditions, but understanding patient needs is critical in ensuring involvement in the process, as not all data types are considered of equal value, benefit, or risk.

Indexed as

Data sharingdigital health technologies (DHTs)personal health datarare disorderssickle cell disorder (SCD)

Identifiers

PMID38323148
PMCPMC10839506

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.