A comparison Between Two different Studies | Report

Running head: RESEARCH 1
Research: A comparison Between Two different Studies
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University affiliation
Author’s note

RESEARCH 2
This article is a presentation of a summary of previously done works by researchers. The
main aim is to ensure that a student is able to read through other specialist's research and
summarize accordingly. In the process of summary, the first step is to list the aims and
hypotheses of the given articles. Then, an account of the methods used in the research, including
the participants, procedures, and materials used in the study. A summary of findings from the
research is also listed, and finally, the validity and strengths of both analyses listed (Kasmel, &
Tanggaard, 2011). A comparison between the two papers is also given through the various sub-
topics and how they can help in clinical issues. Articles provided are on impacts of automated
dispensing cabinets on medical section and preparation error rates in an emergency department,
and the effects of electronic health records on patient safety. The articles will be named one and
two, respectively, for this research.
Summary of the aims and hypothesis
In the first article, the main objective is to study how automated dispensing cabinets help
in the emergency departments within Australian hospitals. There have been numerous records on
the medical injuries occurring in the emergency departments, which facilitated this research. As
such, the main aim of the research was to investigate whether the automated dispensing cabinets
will help in selecting medical practices and also reduce preparation errors. The hypothesis for
this study was that there is a high rate in error for the pre-intervention studies.
On the other hand, the second article mentioned how electronic health records (EHRs)
have been on the rise. Apparently, they have brought more benefits to patients and improved
health care services (Kasmel, & Tanggaard, 2011). Mainly, the research was aimed at exploring
how the EHRs affect the safety of patients as alleged by the nurses. Comparing the two aims,
both have a common factor, which is enhancing the healthcare services. Both types of research

RESEARCH 3
aim to incorporate the current medical tools, which help nurses in emergency departments and
general areas within a healthcare organization.
Methods used in the research
In the first article, the research was done in Australia. Specifically, it was taken to the
Australian metropolitan teaching hospital, conducted in September 2014. During the study, there
was a pre-intervention and post-intervention study, which were done. The facility has 377-bed
tertiary teaching hospitals. Eighty-nine nurses were involved in completing the medication
activities across the new emergency departments, which were considered. During the post-
intervention, no new nurses were recruited. The first stage of data collection involved medication
details, dosage, strength, and form of the dose (Minkler, 2012). Also, details of patients were
recorded. In the second stage, the recorder medication details were compared to patients'
medication chart. Errors in form of discrepancies between the details collected and medication
chart were recorded too. Nurses were randomized during the whole process, and it was
convenient to undertake sampling. Data collection was taken from 7 am to midday. About 50
patients were observed on a daily basis taking roughly 3-4 hours.8 weeks after the ED, end-line
data commenced. As such, the primary materials used were the patient charts, which were
compared with medication details given to patients.
The second article used the qualitative exploratory study, which was based on semi-
structured surveys. The study was undertaken in Jordan. Here, there are numerous vendors for
the ERHs, which facilitated a smooth study. However, only one system was targeted, the
Hakeem Project. This is responsible for computerizing major healthcare systems, which are
found in Jordan, including military and public hospitals. Only one system was used to ensure
bias was reduced (Fanning, Jones, & Manias, 2016). At the same time, it provided detailed