Childbirth is one of the challenging occasions in a woman's life. The aim of the study was to evaluate the effectiveness of the foot reflexology and back massage in improving the quality of sleep among the post caesarean mothers. A true experimental-repeated measures design with simple random sampling technique was used to study the control and experimental groups. The quality of sleep was assessed on 120 post caesarean mothers with 40 samples in each group of control, back massage and foot reflexology. Modified Pittsburg Sleep Quality Index Scale was used to assess the quality of sleep. After the pretest, back massage and foot reflexology was given for three consecutive days in the evening for the respective group. The results revealed that the day 2, day 3, and day 4 of back massage and foot reflexology quality of sleep were significantly different from the control day 2, day 3 and day 4 except on day 1. There is an improvement in the quality of sleep from day 1 to day 4. When comparing the pretest and the posttests, the quality of sleep of the control, back massage and foot reflexology day 3, day 4 (posttests) were highly significantly different from control, back massage and foot reflexology day 1 except on day 2. The improvement in the foot reflexology and back massage was better than the control group. The chi square of control and back massage were 13.132, 41.645 whereas chi square of foot reflexology was 101.234. Hence the foot reflexology was better in improving quality of sleep than back massage.
The aim of the study is to find the correlation of haemoglobin with iron and vitamin c among adolescent girls with iron deficiency anemia undergoing nutritional support therapy at selected higher secondary school in Bangalore, Karnataka. Materials and Methods: An experimental design with pre test and post test control group was used for the study. The total sample consists of 120 adolescent girls between the age group of 14-17 years studying at selected higher secondary school using simple random sampling method. The sixty participants from Srigandhadakaval Public School was taken to control group and sixty participants from Gangothri Public School was taken to experimental group. Haemoglobin is estimated b y using automated hematology analyser, iron by Ferene method and vitamin C by HPLC method. The Karl Pearson's correlation coefficient was carried out to correlate between level of haemoglobin vitamin c and iron. Results: Showed that the level of haemoglobin and vitamin C were highly corr elated except in experimental pre test, the level of haemoglobin and iron were marginally correlated in control group as well as in the experimental group. Whereas the level of vitamin c and iron correlated in control group not in the experimental group. Conclusion: There was a po sitive correlation between level of haemoglobin with iron and vitamin C.
Background: Clinical assessment of the severity of illness among critically ill patients is an essential component to predict the mortality and morbidity in intensive care units. Scoring systems estimate the prognosis and help in clinical decision making thus enhance the quality of care in Intensive care units.Methods: A descriptive study including 122 patients admitted to medical intensive care unit was performed from January 2017-March 2017 in Southern Kerala. APACHE II score for the first 24 hours of admission to the intensive care unit was calculated. SPSS 20 was applied for statistical analysis, and clinical parameters were investigated with descriptive statistics.Results: The actual ICU mortality rate (9%) was less than the predicted mortality rate (43.6%) obtained using the APACHE II. Majority of patients 98(80%) had APACHE score >15. There was a statistically significant correlation observed between age and predicted mortality score of critically ill (r=.434 p=0.01).Conclusions: APACHE II scoring system has been successful in predicting the mortality of critically ill. Healthcare professionals should therefore incorporate the disease severity measuring tools in their clinical practice to prioritize and optimize the care rendered in critical care units.
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