1
|
George J, Häsler B, Mremi I, Sindato C, Mboera L, Rweyemamu M, Mlangwa J. A systematic review on integration mechanisms in human and animal health surveillance systems with a view to addressing global health security threats. ONE HEALTH OUTLOOK 2020; 2:11. [PMID: 33829132 PMCID: PMC7993536 DOI: 10.1186/s42522-020-00017-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 05/05/2020] [Indexed: 05/20/2023]
Abstract
BACKGROUND Health surveillance is an important element of disease prevention, control, and management. During the past two decades, there have been several initiatives to integrate health surveillance systems using various mechanisms ranging from the integration of data sources to changing organizational structures and responses. The need for integration is caused by an increasing demand for joint data collection, use and preparedness for emerging infectious diseases. OBJECTIVE To review the integration mechanisms in human and animal health surveillance systems and identify their contributions in strengthening surveillance systems attributes. METHOD The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) 2015 checklist. Peer-reviewed articles were searched from PubMed, HINARI, Web of Science, Science Direct and advanced Google search engines. The review included articles published in English from 1900 to 2018. The study selection considered all articles that used quantitative, qualitative or mixed research methods. Eligible articles were assessed independently for quality by two authors using the QualSyst Tool and relevant information including year of publication, field, continent, addressed attributes and integration mechanism were extracted. RESULTS A total of 102 publications were identified and categorized into four pre-set integration mechanisms: interoperability (35), convergent integration (27), semantic consistency (21) and interconnectivity (19). Most integration mechanisms focused on sensitivity (44.1%), timeliness (41.2%), data quality (23.5%) and acceptability (17.6%) of the surveillance systems. Generally, the majority of the surveillance system integrations were centered on addressing infectious diseases and all hazards. The sensitivity of the integrated systems reported in these studies ranged from 63.9 to 100% (median = 79.6%, n = 16) and the rate of data quality improvement ranged from 73 to 95.4% (median = 87%, n = 4). The integrated systems were also shown improve timeliness where the recorded changes were reported to be ranging from 10 to 91% (median = 67.3%, n = 8). CONCLUSION Interoperability and semantic consistency are the common integration mechanisms in human and animal health surveillance systems. Surveillance system integration is a relatively new concept but has already been shown to enhance surveillance performance. More studies are needed to gain information on further surveillance attributes.
Collapse
Affiliation(s)
- Janeth George
- Department of Veterinary Medicine and Public Health, Sokoine University of Agriculture, P.O. Box 3021, Morogoro, Tanzania
- SACIDS Foundation for One Health, Sokoine University of Agriculture, P.O. Box 3297, Morogoro, Tanzania
| | - Barbara Häsler
- Department of Pathobiology and Population Sciences, Veterinary Epidemiology, Economics, and Public Health Group, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Hertfordshire, AL97TA UK
| | - Irene Mremi
- Department of Veterinary Medicine and Public Health, Sokoine University of Agriculture, P.O. Box 3021, Morogoro, Tanzania
- SACIDS Foundation for One Health, Sokoine University of Agriculture, P.O. Box 3297, Morogoro, Tanzania
| | - Calvin Sindato
- SACIDS Foundation for One Health, Sokoine University of Agriculture, P.O. Box 3297, Morogoro, Tanzania
- National Institute for Medical Research, Tabora Research Centre, Tabora, Tanzania
| | - Leonard Mboera
- SACIDS Foundation for One Health, Sokoine University of Agriculture, P.O. Box 3297, Morogoro, Tanzania
| | - Mark Rweyemamu
- SACIDS Foundation for One Health, Sokoine University of Agriculture, P.O. Box 3297, Morogoro, Tanzania
| | - James Mlangwa
- Department of Veterinary Medicine and Public Health, Sokoine University of Agriculture, P.O. Box 3021, Morogoro, Tanzania
| |
Collapse
|
2
|
Lin FC, Huang ST, Shang RJ, Wang CC, Hsiao FY, Lin FJ, Lin MS, Hung KY, Wang J, Shen LJ, Lai F, Huang CF. A Web-Based Clinical System for Cohort Surveillance of Specific Clinical Effectiveness and Safety Outcomes: A Cohort Study of Non-Vitamin K Antagonist Oral Anticoagulants and Warfarin. JMIR Med Inform 2019; 7:e13329. [PMID: 31271151 PMCID: PMC6636345 DOI: 10.2196/13329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 05/16/2019] [Accepted: 05/17/2019] [Indexed: 12/14/2022] Open
Abstract
Background Conventional systems of drug surveillance lack a seamless workflow, which makes it crucial to have an active drug surveillance system that proactively assesses adverse drug events. Objective The aim of this study was to develop a seamless, Web-based workflow for comparing the safety and effectiveness of drugs in a database of electronic medical records. Methods We proposed a comprehensive integration process for cohort surveillance using the National Taiwan University Hospital Clinical Surveillance System (NCSS). We studied a practical application of the NCSS that evaluates the drug safety and effectiveness of novel oral anticoagulants (NOACs) and warfarin by cohort tree analysis in an efficient and interoperable platform. Results We demonstrated a practical example of investigating the differences in effectiveness and safety between NOACs and warfarin in patients with nonvalvular atrial fibrillation (AF) using the NCSS. We efficiently identified 2357 patients with nonvalvular AF with newly prescribed oral anticoagulants between 2010 and 2015 and further developed 1 main cohort and 2 subcohorts for separately measuring ischemic stroke as the clinical effectiveness outcome and intracranial hemorrhage (ICH) as the safety outcome. In the subcohort of ischemic stroke, NOAC users exhibited a significantly lower risk of ischemic stroke than warfarin users after adjusting for age, sex, comorbidity, and comedication in an intention-to-treat (ITT) analysis (P=.01) but did not exhibit a significantly distinct risk in an as-treated (AT) analysis (P=.12) after the 2-year follow-up. In the subcohort of ICH, NOAC users did not exhibit a different risk of ICH both in ITT (P=.68) and AT analyses (P=.15). Conclusions With a seamless and Web-based workflow, the NCSS can serve the critical role of forming associations between evidence and the real world at a medical center in Taiwan.
Collapse
Affiliation(s)
- Fong-Ci Lin
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.,Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
| | - Shih-Tsung Huang
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.,School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Rung Ji Shang
- Information Technology Office, National Taiwan University Hospital, Taipei, Taiwan
| | - Chi-Chuan Wang
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.,School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Fei-Yuan Hsiao
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.,School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Fang-Ju Lin
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.,School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Mei-Shu Lin
- Department of Development and Planning, National Taiwan University Hospital, Taipei, Taiwan
| | - Kuan-Yu Hung
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, Hsinchu, Taiwan
| | - Jui Wang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Li-Jiuan Shen
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.,School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Feipei Lai
- Department of Computer Science & Information Engineering, National Taiwan University, Taipei, Taiwan.,Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
| | - Chih-Fen Huang
- Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan.,Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| |
Collapse
|