Table 1.

Attribute definitions and corresponding data collection approaches.

Attributes	Descriptiona	Data collection approaches
Data quality	Completeness (absence of missing values) and validity (absence of errors)	Data record review and semistructured interview
Timeliness	Delay in reporting	Data review
Simplicity	Method of collecting data and time needed to collect data; structure of the system	Structured questionnaire
Acceptability	Willingness of users to use the eMISb	Structured questionnaire
Flexibility	Capacity to cope with new requirements and standards the system follows	Structured questionnaire and semistructured interview
Stability	Downtime of server and response of technical support	Structured questionnaire and semistructured interview
Usefulness	Dissemination of knowledge	Structured questionnaire and semistructured interview

^aBased on Centers for Disease Control and Prevention Updated Guidelines for Evaluating Public Health Surveillance Systems [11], and tailored for the purpose of eMIS [3].

^beMIS: electronic Malaria Information System.