Examinando por Autor "Cajahuanca Capcha, Jeny"
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Ítem Acceso abierto Quality of nursing care and satisfaction of mothers of newborn in the neonatal ICU of hospital II Pasco, 2024(Universidad Privada Norbert Wiener, 2024-03-10) Cajahuanca Capcha, Jeny; Suarez Valderrama, Yurik AnatoliObjective: To determine the relationship between the quality of nursing care and the satisfaction of mothers of newborns in the neonatal ICU of Hospital II Pasco, 2024. Materials and Methods: This study is applied in nature, employing a hypothetico-deductive method, as it deductively formulates a hypothesis in response to the research problem. The hypothesis will then be tested using statistical results as part of the analysis. The research adopts a quantitative approach since numerical data from the variables will be processed with statistical techniques, assessing the possibility of generalizing results to similar sociocultural contexts. The design is non-experimental, correlational, and cross-sectional. The population consists of 80 mothers of newborns in the neonatal ICU of Hospital II Pasco, with the sample being equivalent to the entire population (census-based) and selected through non-probabilistic convenience sampling. For both variables, the survey technique will be utilized due to its frequent use in social research, with a Likert-scale questionnaire titled "Mother's Satisfaction with Newborn Care." Content validity was assessed by Robles through the judgment of five expert informants, achieving a high level of validity equivalent to 97%. The reliability of both instruments was found to be excellent. As the items were polytomous, Martha Robles used the Cronbach's alpha coefficient. For the first variable, the coefficient was 0.973, and for the second variable, it was 0.955. Data processing will involve systematization in an Excel spreadsheet and the use of SPSS software version 26.0. Additionally, the statistical analysis will include frequency distribution, while inferential analysis will address normality testing and hypothesis testing.
