Monday, 30 July 2012
Alison Craswell, BN, GradDipMidwifery, BA1
Lorna Moxham, PhD, RN, MHN, MEd, BHSc, DAS, (Nsg), GradCertOH&S, GradCertQualMgt, FCON, FACMH1
Marc Broadbent, RN, GradCert, GradDip, MEd, PhD2
(1)School of Nursing, Midwifery and Indigenous Health, University of Wollongong, Wollongong, Australia
(2)Institute for Health and Social Science Research, Central Queensland University, Noosaville, Australia
Learning Objective 1: ... understand how perinatal data is collected in Queensland and the value of accurate data as a resource for healthcare funding research and education.
Learning Objective 2: ...to understand how this approach to research will explain the needs of RN's and midwives when collecting perinatal data via and eHealth platform.
The objectives of this research project (currently in data collection) are to examine issues that contribute to midwives data entry specifically in relation to perinatal data. Across Queensland a state of Australia, midwives collect birth related population data via the perinatal data collection form either on paper, by computer or as an extract from a health information system. This data is then transferred to the perinatal data collection unit of Queensland Health who purport that “the quality of information produced from the perinatal data collection depends on the accurate, consistent and timely completion of the forms” (QHealth Perinatal Data Collection Unit 2010:201). The version of data submitted often differs from the medical record which means that the many and varied services that the perinatal data collection provides information for, funding, resource planning, research, education, are compromised.
Methods: Grounded Theory methodology utilizing in depth interviews with participants and then analysed using the constant comparative method.
Results: No results as yet.
Conclusion: Research outcomes will assist nursing management, nurses in informatics and information managers to understand current practice. This knowledge can then be used to provide education and contribute to improved design in information systems that are used to collect population data in obstetrics. With the impending move to increase eHealth technologies used in health care, it is necessary to understand the processes midwives use to enter data using eHealth platforms so the move away from manual paper data entry can be done while addressing their specific needs and maintaining data integrity.