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David Selby

The University of Manchester

United Kingdom

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Research Interests

Health Communication

30%

Health Economics

40%

Osteoarthritis

30%

Age-related Studies

20%

Digital Health

20%

Social Determinants Of Health

20%

Patient-reported Outcome

20%

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Articles12

Classifying Self-Reported Rheumatoid Arthritis Flares Using Daily Patient-Generated Data From a Smartphone App: Exploratory Analysis Applying Machine Learning Approaches

Year:

2024

“Take up to eight tablets per day”: Incorporating free‐text medication instructions into a transparent and reproducible process for preparing drug exposure data for pharmacoepidemiology

Year:

2023

Examining the variability of multiple daily symptoms over time among individuals with multiple long-term conditions (MLTC-M/multimorbidity): An exploratory analysis of a longitudinal smartwatch feasibility study

Year:

2023

Feasibility and acceptability to use a smartphone-based manikin for daily longitudinal self-reporting of chronic pain

Year:

2023

"Take up to eight tablets per day": Incorporating free-text medication instructions into a transparent and reproducible process for preparing drug exposure data for pharmacoepidemiology

Year:

2023

Day-to-day variability of knee pain and the relationship with physical activity in people with knee osteoarthritis: an observational, feasibility study using consumer smartwatches

Year:

2023

Hospital admissions linked to SARS-CoV-2 infection in children and adolescents: cohort study of 3.2 million first ascertained infections in England

Year:

2023

Does body mass index mediate the relationship between socioeconomic position and incident osteoarthritis?

Year:

2022

Using patient-reported data from a smartphone app to capture and characterize real-time patient-reported flares in rheumatoid arthritis

Year:

2022

Predicting long-term trends in inflammatory neuropathy outcome measures using latent class modelling

Year:

2022

Does body mass index mediate the relationship between socioeconomic position and incident osteoarthritis?

Year:

2022

Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity):

Year:

2021

Collaborators9

John McBeth

The University of Manchester

UNITED KINGDOM

William Dixon

The University of Manchester

UNITED KINGDOM

Meghna Jani

The University of Manchester

UNITED KINGDOM

Jenny Humphreys

The University of Manchester

UNITED KINGDOM

James Gwinnutt

The University of Manchester

UNITED KINGDOM

Syed Mustafa Ali

The University of Manchester

UNITED KINGDOM

Goran Nenadic

Senior lecturer

The University of Manchester

UNITED KINGDOM

Mark Lunt

Reader in Medical Statistics

The University of Manchester

UNITED KINGDOM

Nicola Small

The University of Manchester

UNITED KINGDOM

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