Main principle of entitlement for the dominant current system
Quick info | |
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Data type | Numeric |
Scale | Multinomial |
Value labels |
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Technical name | health_hc_regulation_currententitlecode |
Category | Health and long-term care |
Label | Main principle of entitlement for the dominant current system |
Related indicators |
This variable describes the features of the current healthcare system. The variable lists the groups of people entitled to healthcare benefits for the dominant current system in the regulatory dimension of the healthcare system. It is based on entitlement principles as defined in respective legislations.
Coding rules
The variable is coded according to the main principle of entitlement for the dominant current healthcare system under public responsibility. The definition is based on the population group for which is possible to receive benefits. Entitlement is based on: residence, citizenship, occupation, means-testing, other. When the main principle for entitlement is based on residence (value label = 1), citizenship (value label = 2), occupation (value label = 3), mean-testing (value label = 4), other (value label = 5) and no entitlement defined (value label = 0), and no health care system identified (value label = 99).
Bibliographic info
Citation:- de Carvalho, Gabriela and Achim Schmid in collaboration with Polte, Alexander; Frisina Doetter, Lorraine; Haunss, Sebastian and Heinz Rothgang. 2023. Global Historical Healthcare Systems Dataset (G2HSet): Technical report and codebook. Vol. 15 of SFB 1342 Technical Paper Series. Bremen, SFB 1342.
- Schmid, Achim, Gabriela de Carvalho, Antonio Basilicata, and Heinz Rothgang. 2021. Classifying healthcare systems at introduction: Types of healthcare systems under public responsibility. SFB 1342 Working Paper 13. Bremen: SOCIUM, SFB 1342.
- de Carvalho, Gabriela, Alexander Polte, Katharina Scherf, Mai Mohamed Abdou Mahmoud , Lorraine Frisina Doetter. 2021. Trends in time: Identifying health care system introductions worldwide. SFB1342 Working Paper 16. Bremen: SOCIUM, SFB 1342.
- Frisina Doetter, Lorraine, Achim Schmid, Gabriela de Carvalho, and Heinz Rothgang. 2021. “Comparing apples to oranges? Minimizing typological biases to better classify healthcare systems globally.” Health Policy OPEN 2 (1): 1–8. doi:https://doi.org/10.1016/j.hpopen.2021.100035.
Misc
Project manager(s): Achim Schmid; Matias Acosta
- Version 0.001: Initial release
- Version 0.002: Plausibility concerns added for Afghanistan, Chile, Comoros, Ecuador, Guinea-Bissau, Mexico, Syria, Uganda, Uruguay, Yemen, Zimbabwe
Revisions: No revisions
Sources
- Secondary literature, national legislation, see bibliographic info