ArticleDigital health
A national data sharing solution for the prevention and treatment of obesity-a qualitative study of stakeholders' needs.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Study objectives: Obesity-related health data is needed for studies and precision medicine, but existing registers, medical chart systems, and digital platforms are seldom compatible. Before creating improved ways of sharing health data, this study aimed to gather opinions, experiences, and wishes from stakeholders that may use obesity-related health data: healthcare, researchers, people with overweight or obesity, the pharmaceutical industry, and IT-specialists. Methods: We performed semistructured interviews with 28 stakeholders and analyzed qualitative text data with inductive content analysis. We grouped the suggested parameters in categories. Results: Time efficient data entering was perceived crucial. Access to health data was important to all participants. Some parameters, such as age, BMI, and sex were requested by all stakeholders. Other data were stakeholder specific, such as population-specific laboratory references, suggested by healthcare professionals only. For people with overweight or obesity, ability to share data with healthcare staff about fitness level or previous weight loss attempts, was important. Conclusion: The results from this study can be used in the design and implementation of a national health data sharing solution that may be used for precision healthcare use and to evaluate and guide obesity treatment and preventive measures. Data parameters requested by all populations, such as BMI, sex, and age, should be prioritized when designing a data solution. Ability for individuals with overweight or obesity to share health data, may improve healthcare appointments and reduce weight stigma.
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.