Developing attributes and attribute-levels for a discrete choice experiment on micro health insurance in rural Malawi
Discrete choice experiments (DCEs) are attribute-driven experimental techniques used to elicit stakeholders’ preferences to support the design and implementation of policy interventions. The validity of a DCE, therefore, depends on the appropriate specification of the attributes and their levels. Th...
Gespeichert in:
| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
22 May 2014
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| In: |
BMC health services research
Year: 2014, Jahrgang: 14 |
| ISSN: | 1472-6963 |
| DOI: | 10.1186/1472-6963-14-235 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/1472-6963-14-235
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| Verfasserangaben: | Gilbert Abotisem Abiiro, Gerald Leppert, Grace Bongololo Mbera, Paul J. Robyn and Manuela De Allegri |
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| 520 | |a Discrete choice experiments (DCEs) are attribute-driven experimental techniques used to elicit stakeholders’ preferences to support the design and implementation of policy interventions. The validity of a DCE, therefore, depends on the appropriate specification of the attributes and their levels. There have been recent calls for greater rigor in implementing and reporting on the processes of developing attributes and attribute-levels for discrete choice experiments (DCEs). This paper responds to such calls by carefully reporting a systematic process of developing micro health insurance attributes and attribute-levels for the design of a DCE in rural Malawi. | ||
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