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Table 4 Characteristics of included studies

From: Real-world data for precision public health of noncommunicable diseases: a scoping review

Authors (Year)

Country

Aim

Setting

Population characteristics

Target chronic disease/s

Glidewell et al. (2018) [30]

USA

To describe the surveillance methodology to better understand prevalence, care utilisation and outcomes of people with CHDs

Academia/ Healthcare

1. Emory University

2. Massachusetts Department of Public Health

3. New York State Department of Health

73,112 individuals (identified based on CHD codes in healthcare encounters)

Congenital Heart Disease

Guilbert et al. (2012) [31]

USA

To develop an EHR-based public health information exchange (via a new information system platform) to represent the ecologic health systems model

Academia/ Healthcare / Government:

University of Wisconsin Dep't of Family Medicine

Division of Public Health

40,320 children, 151,881 adults (total clinical sample)

Asthma, T2DM (use cases)

Ji et al. (2017) [32]

USA

To create a health data model and analytic framework that integrates and analyses openly available health data sources, particularly socially-generated data

Academia:

New Jersey Institute of Technology

City University of New York

17,407 (pts in SMN)

69,423 (posts in MedHelp)

86,715 reviews (WebMD)

MS, Fibromyalgia, MDD, GAD, CFS, ALS, Parkinson's, Epilepsy, SAD, Panic Disorder (top ten conditions)

Li et al. (2020) [35]

China

To develop a system (NCDCMS) for NCD surveillance and management

Government:

Chinese Center for Disease Control and Prevention

Ningbo City (5.93 million)

201 medical facilities (98.1%)

T2DM, IHD, cerebrovascular disease, malignant and benign neoplasms of the central nervous system

Lix et al. (2018) [33]

Canada

To describe the process, structure, benefits and challenges of a distributed model for chronic disease surveillance (CCDSS)

Government:

Public Health Agency of Canada (PHAC)

All Canadian provinces and territories

T2DM, HT, Mental illness, COPD, Asthma, IHD, AMI, HF, Osteoporosis, Parkinson's, MS, Stroke, Epilepsy, Dementia, Osteoarthritis

Shaban-Nejad et al. (2017) [34]

Canada

To develop PopHR, a big data platform for community and population health surveillance

Academia/ Healthcare:

McGill University

Tennessee Health Science Center

Census Metropolitan Area of Montreal, Quebec, Canada (25% of total population, ~ 1 million persons)

Arthritis, Asthma, Cancer, CKF, COPD, CHF, Mental illness, Obesity, IHD, MS, Parkinson's, T2DM

  1. CHD Congenital heart disease, EHR Electronic health record, T2DM Type 2 diabetes mellitus, MS Multiple sclerosis, MDD Major depressive disorder, GAD Generalized anxiety disorder, CFS Chronic fatigue syndrome, ALS Amyotrophic lateral sclerosis, SAD Social anxiety disorder, NCDCMS Integrated noncommunicable disease collaborative management system, IHD Ischaemic heart disease, CCDSS Canadian Chronic Disease Surveillance System, HT Hypertension, COPD Chronic obstructive pulmonary disease, AMI Acute myocardial infarction, HF Heart failure, CKF Chronic kidney failure