2. 1.2. Data Collection. (1) Patient characteristics. This includes name, phone number, and current time. (2) Solicited and unsolicited comments. (3) Type of visit: first, follow-up, routine, other. (4) The problem that the patient described and the disease that the patient brought.
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2.2. Data Analysis. A structured data analysis methodology is used to process data, in particular, to classify each patient according to patient characteristics and their activities. The data is analyzed according to the following steps: .
by AB Kocaballi
1.1. Data Description. The data description includes information about the collection of data and its content. The data collection is divided into two sections: (a) the demographic and socio-economic data of the patients, and (b) the data about the patients’ activities. The data is recorded manually and automatically by a Computer Aided Reporting Application (CARA), and by interviewing patients about their activities. The demographic and socio-economic data of the patients is collected using a questionnaire that consists of eight questions. The questionnaire includes socio-economic questions that are general and mostly related to education. Demographic data is collected using the General Household Questionnaire (GQH) (Statistics Netherlands, 2019).
by AB Kocaballi
[www.abkocab.com]
Jan 2, 2019
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