Big Data for Sound Policies: Toward Evidence- Informed Hearing Health Policies (CROSBI ID 256838)
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Podaci o odgovornosti
Gutenberg, Johanna ; Katrakazas, Panagiotis ; Trenkova, Lyubov ; Murdin, Louisa ; Brdarić, Dario ; Koloutsou, Nina ; Ploumidou, Katherine ; Pontoppidan, Niels Henrik ; Laplante-Lévesque, Ariane
engleski
Big Data for Sound Policies: Toward Evidence- Informed Hearing Health Policies
The scarcity of health care resources calls for their rational allocation, including within hearing health care. Policies define the course of action to reach specific goals such as optimal hearing health. The process of policy making can be divided into 4 steps: (a) problem identification and issue recognition, (b) policy formulation, (c) policy implementation, and (d) policy evaluation. Data and evidence, especially Big Data, can inform each of the steps of this process. Big Data can inform the macrolevel (policies that determine the general goals and actions), mesolevel (specific services and guidelines in organizations), and microlevel (clinical care) of hearing health care services. The research project EVOTION applies Big Data collection and analysis to form an evidence base for future hearing health care policies.
Audiology, Patient safety and prevention of medical error, Amplification or hearing aids, Outcomes, Service delivery
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Podaci o izdanju
27 (3S)
2018.
493-502
objavljeno
1059-0889
10.1044/2018_aja-imia3-18-0003
Povezanost rada
Informacijske i komunikacijske znanosti, Javno zdravstvo i zdravstvena zaštita, Matematika, Računarstvo