Information asymmetry in the Kenyan medical laboratory sector
<|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:'The data were collected to determine whether patients had access to laboratory testing information including test test prices, turnaround time (TAT) and quality. We targeted patients seeking laboratory tests in two public hospitals in Nairobi. Some of the variables collected include the sociodemographic characteristics, test ordered by the clinician, availability of the test, test price and the TAT. The hospital-based survey was conducted between May and June 2019 using a semi-structured questionnaire developed in REDCap. In the second data set, we used a mystery caller approach to investigate test prices among clinical laboratories in Nairobi' . 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" : ["Diagnostics","Essential Diagnostics List","Health systems","Kenya","Pathology"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The data were collected to determine whether patients had access to laboratory testing information including test test prices, turnaround time (TAT) and quality. We targeted patients seeking laboratory tests in two public hospitals in Nairobi. Some of the variables collected include the sociodemographic characteristics, test ordered by the clinician, availability of the test, test price and the TAT. The hospital-based survey was conducted between May and June 2019 using a semi-structured questionnaire developed in REDCap. In the second data set, we used a mystery caller approach to investigate test prices among clinical laboratories in Nairobi' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The data were collected to determine whether patients had access to laboratory testing information including test test prices, turnaround time (TAT) and quality. We targeted patients seeking laboratory tests in two public hospitals in Nairobi. Some of the variables collected include the sociodemographic characteristics, test ordered by the clinician, availability of the test, test price and the TAT. The hospital-based survey was conducted between May and June 2019 using a semi-structured questionnaire developed in REDCap. In the second data set, we used a mystery caller approach to investigate test prices among clinical laboratories in Nairobi
Diagnostics; Essential Diagnostics List; Health systems; Kenya; Pathology