Interview schedules will be used and will complement the questionnaire to phrase and rephrase questions to ensure that the needed information is obtained. In addition, it stimulates the respondents to think and answer the questions appropriately.
The processing of data prepares raw data for statistical analysis and presentation. Kothari, (1988) explains that this stage is appropriate for a scientific study and for making sure that all the relevant data is present for making comparisons and analysis. The checking of questionnaires, coding of responses and statistical analysis will be done. Data computation will be done through Statistical Package for Social Sciences (Morgan, 2011). Descriptive data analysis will be used to show the characteristics of each variable under study. Regression analysis will be used to identify the presence of certain relations among variables such as the adoption a new technologies in hospitals and the reduction of medication errors. Descriptive statistics such as mean, frequencies and percentages will be evaluated using SPSS so as to bring out a clear picture about the study.
The research is expected to prove that new innovations can actually reduce cases of medication errors in hospitals. The main development that is expected to reduce medication errors is the bar code method of administering medication. The research will focus on the different innovations that help reduce medication errors. The interviewed nursing students are expected to point out reasons for their medication errors, if any, such as inadequate training and wrong patient details (Lan et al, 2014). They will identify new innovations in hospitals as the reason for reduced medication errors.
The research will identify areas which need immediate attention. The research will point out several recommendations to the university and the hospitals where the nursing students were placed. The research will identify problems which lead to medication ...
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