pre-maternity and co-morbidity on feeding milestones in the neonate
This essay employs the topic “pre-maternity and co-morbidity on feeding milestones in the neonate” by Jadcherla, Wang, Vijayapal & Leuthner, which would not be successful devoid the use of the t-test and ANOVA (Analysis of Variance) to achieve their desired conclusion. The study looked into Simpson C, WorkWork on “Early introduction of oral feeding in preterm infants Paediatrics” (2002). The results of the research t showed achievement and introduction of independent feeding (oral) in a healthy unborn infant were achieved within thirty-four weeks and thirty-eight weeks, respectively (Simpson, Schanler and Lau, 2012).
Descriptive statistics are not beneficial in incorporating research study into the while population. Withal, it does not assist in getting the output of the research or complete conclusion past the sketch of the immediate elements of the survey (Gravetter & Wallnau, 2007). In the application of the research study output, researchers put to practice inferential statistics (Baltimore, 2011). Independent t-test was put into use to facilitate the comparison of two separate groups (Maximum gavage feeding and maximum oral feeding) following the independent variables (Laureate Educate, 2016). The data attached to the dependent variable was achieved with the help of the survey questionnaire. The dependent variable assumes a continuous or interval level of measurement (Pilot, 2010). Following Pilot (2010), to use the T-test, to employ the t-test in an experiment, three tests should be observed, such as homogeneity of variance, equal distribution of dependent variables on the population, and finally, the assumption of random sampling (Girden, 1992). The reason for this is because the study employed random distribution and almost an equivalent participant number in each group (59 in experimental and 81 in the control group). Based on power analysis for accurate size, the verisimilitude of the wrong output, or both type I and type II errors is lower (Pilot, 2010).
On the other hand, one-way ANOVA is employed to check on the variance between the continuous or the interval dependent variable versus a given factor (Laureate Education, 2016). In subject design, repeated measures ANOVA is employed when the means of the population are calculated for the same persons three or more times (Pilot, 2010). At the initiative of the study, data was collected at week less than 28 and at the week interval of 28-32 and finally at the week 32-35 intervals. The repetition of ANOVA was employed to compare variances of the population groups between and within the given subjects. If they were significant (P<.05 applicable to almost all factors) and null hypothesis, all elements (variances) failed to be rejected (Simpson, Schaller & Lau, 2002).
Lastly, the variations were established with the use of statistical significance. Hence, the researchers to consolidate their findings that the infants below twenty-eight weeks GA posed meaningful delay food intake regarding progression, including initiation and succession to maximal oral food and gavage in addition to tarried LOS. Thus, the inferential statistics tightened the study’s application attached to the evidence-anchored practice (Gray, Grove & Sutherland, 2017). Secondly, infants with more than twenty-eight weeks GA achieved successful feeding milestones in the same way in PMA the results interpreted that aero-digestive co-morbidities had a significant positive impact on oral feeding milestone. Besides, characteristics that impede feeding milestones were pointed out in order of the pathophysiological features.
In summary, the study findings were able to characterize the impact of postnatal maturation and gestation on the achievement of maximal oral feeding milestones and maximal gavage. They also looked into the significance of co-morbidity on feeding milestones in premature babies. Unlike the level of LOS or survival as a primary outcome, feeding milestone is employed as a benchmark for comparison of feeding following resource maximization and quality of life (Jadcherla, Wang, Vijayapal & Leuthner, 2010).