Antibiotic consumption in infants of less than three years is higher than average the average consumption for general population. The aim of this study was to explore paediatricians’ opinions regarding factors influencing inappropriate use of antibiotics in early infancy in primary care. A qualitative study based on the grounded theory using convenience sampling was conducted in Murcia Region, Spain. Three focal discussion groups were developed with 25 participants from 9 health areas (HA) of Murcia Region. Paediatricians perceived that health care pressure was an influential factor in the prescribing behaviour, forcing them to prescribe antibiotics for a rapid cure in unjustified circumstances. Participants believed that antibiotic consuming was related to parents’ self-medication due to their perceptions about the curative potential of antibiotics together with facilities to obtain these agents from pharmacies without prescription. The misuse of antibiotics by paediatricians was associated to the lack of education on antibiotic prescription and the limited use of clinical guidelines. Not prescribing an antibiotic in the presence of a potentially severe disease generated more fear than an unnecessary prescription. The clinical interaction asymmetry was more evident, when paediatricians use trapping risk strategies as a mechanism to justify a restrictive prescribing behaviour. The rational model of clinical decision-making in antibiotic prescribing among paediatricians was determined by factors associated with health care management, social awareness and knowledge of the population and pressure of families’ demands. The present findings have contributed to the design and implementation of health interventions in the community for improving awareness of the appropriate use of antibiotics, as well as for a better quality of prescription by peadiatricians.
Background:Electronic recording of newborn health information contributes to improving the quality of care.Nonetheless, there is limited evidence on the implementation of perinatal electronic medical records models. We describe the development and implementation of an electronic recording model that includes data on the health care provided to both the mother and the newborn, standardised for six hospitals of a regional health care system.
Methods:The implementation process was developed in 2 stages. During stage 1, the tool was introduced in hospitals to stablish rst contact with the healthcare staff. The second stage consisted in designing a new strategy to stabilise the model. Technical issues were xed, and a new version was drawn up based on multidisciplinary agreement. Indicators to monitor implementation were measured in both stages and compared using the chi-squared test.
Results:During stage 1, nearly every newborn got its electronic medical record with an appropriate connection to the mother's data. However, certain forms that were meant to be lled in by staff were frequently neglected (completion rates: 36.7%-55.3%). In stage 2, there was a statistically signi cant increase in the completion rates of all these forms. As a result, a standardised discharge report was provided to every newborn at the end of stage 2.
Conclusions:Implementation of perinatal electronic medical records that link maternal and neonatal data is complicated and experience in this area is limited. Here we describe the implementation process of a model that was reliable and standardised for an entire regional health care system.
Background: Electronic recording of newborn health information contributes to improving the quality of care. Nonetheless, there is limited evidence on the implementation of perinatal electronic medical records models. We describe the development and implementation of an electronic recording model that includes data on the health care provided to both the mother and the newborn, standardised for six hospitals of a regional health care system.Methods:The implementation process was developed in 2 stages. During stage 1, the tool was introduced in hospitals to stablish first contact with the healthcare staff. The second stage consisted in designing a new strategy to stabilise the model. Technical issues were fixed, and a new version was drawn up based on multidisciplinary agreement. Indicators to monitor implementation were measured in both stages and compared using the chi-squared test. Results:During stage 1, nearly every newborn got its electronic medical record with an appropriate connection to the mother’s data. However, certain forms that were meant to be filled in by staff were frequently neglected (completion rates: 36.7%-55.3%). In stage 2, there was a statistically significant increase in the completion rates of all these forms. As a result, a standardised discharge report was provided to every newborn at the end of stage 2. Conclusions: Implementation of perinatal electronic medical records that link maternal and neonatal data is complicated and experience in this area is limited. Here we describe the implementation process of a model that was reliable and standardised for an entire regional health care system.
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