Quality Indicators of Patient Safety Critical

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Quality Indicators of Patient Safety Critical

Quality Indicators of Patient Safety Critical

Medical errors associated with clinical tests are directly related to the factor of patient safety, and the ways to improve tests’ quality are important to be studied in detail.Quality Indicators of Patient Safety Critical

The authors of the article “A Trend Analysis of Quality Indicators of Patient Safety in the Clinical Laboratory over 21 Months” focused on evaluating the quality indicators used during the pre- and post-analytical phases in laboratories in order to decrease errors and improve the quality of test results (Agarwal et al. 300).

The research published in 2012 can be discussed as significant to contribute to choosing quality indicators in order to improve testing in the clinical and laboratory settings.

Focusing on the problem statement, it is important to note that Agarwal and the group of researchers chose the urgent problem. Thus, the researchers noted that during the pre- and post-analytical phases of testing sessions, the rate of errors is about 93% (Agarwal et al. 300).

As a result, it was significant to select the quality indicators that were appropriate to indicate the quality of both pre- and post-analytical phases.

The researchers chose incorrect identification, incomplete forms, and sample-rejection rate for the pre-analytical phase as well as urgent sample reporting and critical-values reporting for the post-analytical phase (Agarwal et al. 301).

Concentrating on these indicators, the researchers were able to examine changes in the quality rates. Therefore, the choice of indicators can be discussed as relevant.Quality Indicators of Patient Safety Critical

The selection of the methodology can also be discussed as efficient because to conduct the 21-month long study, the researchers focused on the prospective analysis of results during separate pre- and post-analytical phases.

It was important to study the tests in the laboratory of Institute of Human Behavior and Allied Sciences in Delhi during the period of January 2010-September 2011. Thus, during this period, 75 675 blood samples were received for testing (Agarwal et al. 301).

From this point, to receive the full picture, the prospective analysis was supported with the trend analysis, and researchers also focused on the implementation of three patient-safety strategies as well training sessions for the personnel in order to examine the approaches to improve testing in laboratories.

Focusing on the data analysis and discussion of the results, it is important to determine such strengths as the use of both statistical and trend analysis methods to conclude about the collected information. The researchers found that 91.2% of errors were detected during the pre-analytical phase (Agarwal et al. 302).

According to the quality indicators, the most typical errors were associated with incomplete forms and sample rejection.