2.4. Data analysis.This study used a content, analysis method and the Krip pendorff 's thematic clustering technique was employed to analyze. The data []. First the 30, interviews were thoroughly read to obtain a comprehensive understanding of the healthcare providers. ' Perceptions of barriers in implementing home telecare. Second meaning units, by sentence and paragraphs containing aspects. Related to the similar central meaning through context were extracted from the text and then, grouped thereby creating a. Cluster. The meaning units were condensed and summarized and where, possible described in terms of the, underlying meaning. Preserving the core content. By sorting all meaning units of similarity with the newly formed cluster the condensed, meaning. Units were abstracted into sub-themes. After repeated clustering the data, were presented in a tree diagram. We were able. To abstract main themes and sub-themes. Each participant 's interview transcript was coded at the level of phrases and, sentences. Before the classi fi cations were con fi rmed the data, analysis was performed by the research team to discuss the fi elds of each. Theme and the, main themes and sub-themes were then identi fi ed based on, consensus. Fig. 1 illustrates an example of a dendrogram. For one of the emerging themes.
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