Reply to this Discussion Question

A p-value is a statistical value used to determine the likelihood that a specific observation occurred by chance.In this study,the p-value is 0.004 for the variable workload. In this case,a p-value of 0.004 is significant,meaning there's a very low probability (less than 0.4%) that this result happened by chance(Andrade, 2019).

The research suggests a strong correlation between workload and medication errors by nurses.Nurses with a higher workload are more likely to make medication errors(Ratanto et al., 2021). The result is statistically significant, based on the p-value of 0.004. Typically,a p-value less than 0.05 is considered statistically significant.In this study,the p-value for workload is much lower than 0.05 (0.004),indicating a very strong statistical significance(Ratanto et al., 2021).This means it's highly unlikely that the observed relationship between workload and medication errors happened by chance.

Factors of generalizability are Sample Representativeness, Research Setting and Context, and Research Methods. I found that Sample Representativeness:Registered Nurses (RNs) working in medical/surgical units. Is generalizable to the nursing problem I'm researching. While this information is relevant to my research, I didn't specify the nurse-to-patient ratio (1:8 and 1:10) in relation to the nursing issue. Workload can impact medication errors overall, but the precise details about nurse-to-patient ratios may not be pertinent to my research on medical/surgical units.

Research Setting and Context:One hospital in Indonesia. My nursing problem does not specify a specific location but only states the setting (medical/surgical units). Research Methods: The study used self-reported medication errors and surveys on workload and motivation. Relying on self-reported medication errors may lead to underreporting due to fear of repercussions. Similar methods could be used to study medication errors, like reviewing medication records or using anonymous reporting systems. The original study might not have captured all the reported mistakes, so the findings might not be completely accurate.

The workload can affect medication errors in general, but the specific details about nurse-to-patient ratios may not apply to my research on medical/surgical units.