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 |