Validation Of Safe Nursing Care Questionnaire Among Covid-19 Nurses: In The Context Of Punjab, Pakistan

Abstract

Background: Unreliable medical care is a leading cause of mortality and disability, especially in poor and middle income countries. Every year, 2.6 million people lose their lives and 134 million are injured as a result of substandard care in hospitals. Safe nursing care is defined an effective, safe, and competent nursing practise must meet the patient's human rights and needs, including respect, comfort, hydration, and nutrition. Safe nursing care assessment in this setting can shed light on nursing practices must be evaluated thoroughly to guarantee their efficacy and lack of unwanted side effects if healthcare is to be delivered safely. A specialized survey is required to evaluate the safe nursing care.

Objective: This research aimed to verify the reliability of the safe nursing care questionnaire (SNCQ) in the setting of Punjab, Pakistan during the pivotal year of Covid-19.

Method: Two hundred and ninety-eight nurses from Services hospital and Fatima Memorial Hospital tertiary care Lahore, Pakistan, participated in a cross-sectional study that employed the lottery method to select participants. Ten professionals in the area reviewed the questionnaire to ensure its validity before it was used to collect the data. SPSS 21.0 was used to do the analysis, and the results are presented in a tabular format. 

Result: A whopping 96.3% of the participants were female, and 64.8% held government jobs. Cronbach's alpha was 0.90, and the KMO value for all the sub categories was greater than 0.5. A Statistical analysis revealed a significant correlation between each question with a p<0.05. In addition, the total percentage of variation across all five categories was 34.98 percent.

Conclusion: The SNCQ demonstrates to be a suitable instrument for assessing safe nursing care among Pakistani nurses due to its favorable factor structure, robust inter-question correlations, and adherence. This tool is ideally suited for developing nations, as its queries are simple to comprehend and its factor analysis is robust.