Multiple Regressions of a Malcolm Baldrige's Patient Safety Models Nursal Dien1, Machmud Rizanda2, Darwin Eryati2, Mulyana Nana3 1Andalas University, Faculty of Public Health 2Andalas University, Faculty of Medicine, Perintis Kemerdekaan Street, Padang, Indonesia 3Ministry of Health Indonesia, Rasuna Said Street, Jakarta, Indonesia Online published on 3 April, 2018. Abstract This research proposed to develop patient safety models in primary health care and provide a possible model to implementated. Primary health care in Indonesia battling in assessment of risk reduction strategy because difficulty in identifying adverse event and there are no model or guidance for patient safety in primary health care yet. The patient safety model can be framed with Baldrige Health Care Criteria for performance excellence. Basic Emergency Obstetric Care was an critical health care in Indonesia for reduce maternal death by early detection of maternal complication. So, this study focus to develop patient safety model in basic emergency obstetric care bases on Baldrige criteria. We conducted a cross sectional study, data collected through a likert scale questionnaire from 194 respondent, there were doctors, nurses, midwifes, pharmacist, and medical report officer from six basic emergency obstetric care. Data analysis by linear regression and multiple regression to determined the most suitable variable to the models. The result shows that incident detection, mitigation, health workers workload and commitment, internal audit are variables for a patient safety model development. It is recommended to futher researcher to developed module for patient safety training in primary health care. Top Keywords patient safety, primary health care, Malcom Balridge, adverse event, . Top |