Date of Award
Doctoral Nursing Capstone Project
Doctor of Nursing Practice (DNP)
Leadership and Advanced Nursing Practice
Dr. Nina McLain
Committee Chair Department
Committee Member 2
Dr. Michong Rayborn
Committee Member 2 Department
Committee Member 3
Dr. Bonnie Harbaugh
Committee Member 3 Department
Pain is a source of anxiety for many patients, and uncontrolled pain can have deleterious effects on patient outcomes (Patak et al., 2014). Pain associated with labor is a particular concern of obstetric patients. Epidural analgesia is currently the frontline treatment for pain associated with labor, with epidural patient-controlled analgesia (PCA) often being utilized (Braveman, Scavone, Blessing, & Wong, 2013). Little evidence exists that details what factors of epidural PCA that patients considered important (Patak et al., 2014). In this project, a randomized questionnaire was administered to obstetric patients to assess satisfaction levels with their epidural PCA. The questionnaire also asked patients if they felt a lighted demand button would make their PCA pump easier to use. Fourteen questionnaires were completed and analyzed. A 1 to 10 numerical scale was utilized in the survey. Patients reported a mean satisfaction score of 9.2 concerning each patient’s ability to control their pain. Ninety-three percent of patients felt they were able to adequately control their pain. A mean response of 8.6 was reported for overall satisfaction with the epidural PCA pump. Patients reported a mean response of 9.6 concerning the pumps’ ease of use. Seventy-nine and a half percent of patients stated they were aware when a dose was available. Of the respondents, 35.7% felt that a light would have made their PCA pump easier to use. Overall, respondents were satisfied with their pain control experience. Future studies may benefit by investigating the impact of PCA feedback features on the pain control experience of obstetric patients.
McRae, James, "Following Epidural PCA Use, Do Obstetric Patients Feel Satisfied With Their Pain Control" (2018). Doctoral Projects. 106.