Informatics Publishing Limited

Abstract

An experimental one group pre test and post test design was carried out to assess the communication pattern and level of satisfaction among mechanically ventilated patients. Sixty numbers of mechanically ventilated and conscious patients were selected in a multispecialty Hospital by non probability purposive sampling technique. The technique used for data collection were interview Performa for demographic data and self structured rating scale to assess communication pattern and level of satisfaction. The result shows that, mean post test score of satisfaction level is 36.9, which is higher than mean pre test score of satisfaction level 31.4. The stander deviation of post test 2.51 is less than stander deviation of pre test 2.55 which indicates that the group is more homogenous in post test and marked improvement in satisfaction level in post test than pre test.

Mean post test score of communication pattern is 134.4, which is higher than mean pre test score of communication pattern 78.85. The stander deviation of post test 6.69 is less than stander deviation of pre test 7.2 which indicates that the group was more homogenous in post test and has a marked improvement in communication pattern in post test than pre test.

There is significant positive relationship between communication pattern and level of satisfaction of the patients with mechanical ventilator. The calculated r value is 0.25 (before using communication board) and 0.29 (after using communication board) indicate high significant relationship between communication pattern and level of satisfaction of the patients with mechanical ventilator. The investigator observed that all patients admitted on mechanical ventilator had poor communication pattern and thus frustrated.

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Abstract

Developing hospital acquired infection is nothing but simply certifying the quality of care provided by the hospital. Hospital or healthcare-acquired infections (HAI) are new infections that patients acquire as a result of healthcare interventions to treat other conditions. some high-income countries have national surveillance systems for HAIs, there are fewer data available from low- and middle-income countries.

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