TY - JOUR
T1 - Greater agreement is required to harness the potential of health intelligence
T2 - a critical interpretive synthesis
AU - Haby, Michelle M.
AU - Chapman, Evelina
AU - Barreto, Jorge Otávio Maia
AU - Mujica, Oscar J.
AU - Rivière Cinnamond, Ana
AU - Caixeta, Roberta
AU - Garcia-Saiso, Sebastian
AU - Reveiz, Ludovic
N1 - Publisher Copyright:
© 2023 Pan American Health Organization
PY - 2023/11
Y1 - 2023/11
N2 - Objectives: To synthesize existing knowledge on the features of, and approaches to, health intelligence, including definitions, key concepts, frameworks, methods and tools, types of evidence used, and research gaps. Study Design and Setting: We applied a critical interpretive synthesis methodology, combining systematic searching, purposive sampling, and inductive analysis to explore the topic. We conducted electronic and supplementary searches to identify records (papers, books, websites) based on their potential relevance to health intelligence. The key themes identified in the literature were combined under each of the compass subquestions and circulated among the research team for discussion and interpretation. Results: Of the 290 records screened, 40 were included in the synthesis. There is no clear definition of health intelligence in the literature. Some records describe it in similar terms as public health surveillance. Some focus on the use of artificial intelligence, while others refer to health intelligence in a military or security sense. And some authors have suggested a broader definition of health intelligence that explicitly includes the concepts of synthesis of research evidence for informed decision making. Conclusion: Rather than developing a new or all-encompassing definition, we suggest incorporating the concept and scope of health intelligence within the evidence ecosystem.
AB - Objectives: To synthesize existing knowledge on the features of, and approaches to, health intelligence, including definitions, key concepts, frameworks, methods and tools, types of evidence used, and research gaps. Study Design and Setting: We applied a critical interpretive synthesis methodology, combining systematic searching, purposive sampling, and inductive analysis to explore the topic. We conducted electronic and supplementary searches to identify records (papers, books, websites) based on their potential relevance to health intelligence. The key themes identified in the literature were combined under each of the compass subquestions and circulated among the research team for discussion and interpretation. Results: Of the 290 records screened, 40 were included in the synthesis. There is no clear definition of health intelligence in the literature. Some records describe it in similar terms as public health surveillance. Some focus on the use of artificial intelligence, while others refer to health intelligence in a military or security sense. And some authors have suggested a broader definition of health intelligence that explicitly includes the concepts of synthesis of research evidence for informed decision making. Conclusion: Rather than developing a new or all-encompassing definition, we suggest incorporating the concept and scope of health intelligence within the evidence ecosystem.
KW - Critical interpretive synthesis
KW - Data
KW - Evidence-informed decision making
KW - Health intelligence
KW - Information
KW - Surveillance
UR - http://www.scopus.com/inward/record.url?scp=85174467421&partnerID=8YFLogxK
U2 - 10.1016/j.jclinepi.2023.09.007
DO - 10.1016/j.jclinepi.2023.09.007
M3 - Artículo de revisión
C2 - 37742988
AN - SCOPUS:85174467421
SN - 0895-4356
VL - 163
SP - 37
EP - 50
JO - Journal of Clinical Epidemiology
JF - Journal of Clinical Epidemiology
ER -