Replication Data for: A discrete choice experiment on health care providers' preferences for capitation payment mechanism in Kenya
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Data associated with a discrete choice experiment that aimed to elicit the preferences of health care providers for the attributes of capitation payment mechanism in Kenya. The study focused on four capitation attributes, namely, capitation rate per individual per year, payment schedule, services to be paid by the capitation rate, and timeliness of payments. Choice and socio-demographic data were collected between July 2018 and November 2018 from 233 senior management team members in 98 health facilities in seven counties, namely, Bomet, Kakamega, Kilifi, Makueni, Meru, Migori, and Siaya. A stratified random sampling approach was used' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Capitation","Discrete choice experiment","Provider payment mechanism"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Data associated with a discrete choice experiment that aimed to elicit the preferences of health care providers for the attributes of capitation payment mechanism in Kenya. The study focused on four capitation attributes, namely, capitation rate per individual per year, payment schedule, services to be paid by the capitation rate, and timeliness of payments. Choice and socio-demographic data were collected between July 2018 and November 2018 from 233 senior management team members in 98 health facilities in seven counties, namely, Bomet, Kakamega, Kilifi, Makueni, Meru, Migori, and Siaya. A stratified random sampling approach was used' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Data associated with a discrete choice experiment that aimed to elicit the preferences of health care providers for the attributes of capitation payment mechanism in Kenya. The study focused on four capitation attributes, namely, capitation rate per individual per year, payment schedule, services to be paid by the capitation rate, and timeliness of payments. Choice and socio-demographic data were collected between July 2018 and November 2018 from 233 senior management team members in 98 health facilities in seven counties, namely, Bomet, Kakamega, Kilifi, Makueni, Meru, Migori, and Siaya. A stratified random sampling approach was used
Capitation; Discrete choice experiment; Provider payment mechanism