Hypotheses. Healing Touch (HT) is an energy therapy that has been shown to lower stress, pain, and fatigue in adult oncology patients. This study evaluated the feasibility of administering HT in pediatric oncology inpatient and outpatient units at Kapi'olani Medical Center for Women and Children. Study design. This study was a 1-year randomized prospective study consisting of 2 study arms. The HT arm was considered the treatment group, and reading/play activity was designated as the control group. Participants were randomly assigned to each arm on enrollment in the study. Methods. They were recruited by the pediatric oncology social worker. Interested participants were asked to provide informed consent and were randomized to either the HT arm or the reading/play activity arm of the study. They received their designated intervention for 30 minutes at each inpatient or outpatient encounter. Participants, parents, and care providers were asked to complete preintervention and postintervention assessments. Results. In all, 15 participants, aged 3 to 18 years old, were approached about the study between July 2009 and June 2010. A total of 9 participants enrolled (recruitment rate of 60%); 6 patients were randomized to receive HT sessions, and 3 patients received reading/play activities; 2 participants dropped out of the study because of prolonged hospitalizations and complicated treatments. An additional participant expired while in the study because of disease progression. Those in the HT group showed significant decreases in the scores for pain, stress, and fatigue for participants, parents, and caregivers. Furthermore, parents' perception of their children's pain decreased significantly for the HT group when compared with the group receiving reading/play activity. Conclusion. This study demonstrates the feasibility of using energy therapy in the pediatric oncology patient population. There also seems to be an interest in this treatment modality for this patient population. Furthermore, these findings suggest that HT has a positive impact on pain, stress, and fatigue related to oncology treatment.

Introduction:Health systems can be supported by collaborative networks focused on data sharing and comparative analytics to identify and rapidly disseminate promising care practices. Standardized data collection, quality assessment, and cleansing is a necessary process to facilitate meaningful analytics for operations, quality improvement, and research. We developed a framework for aligning data from health care delivery systems using the High Value Healthcare Collaborative central registry.Framework:The centralized data registry model allows for multiple layers of data quality assessment. Our framework uses an iterative approach, starting with clear specifications, maintaining ongoing dialogue with diverse stakeholders, and regular checkpoints to assess data conformance, completeness, and plausibility.Lessons Learned:We found that an iterative communication process is critical for a central registry to ensure: 1) clarity of data specifications, 2) appropriate data quality, and 3) thorough understanding of data source, purpose, and context. Engaging teams from all participating institutions and incorporating diverse stakeholders of clinicians, information technologists, data analysts, operations managers, and health services researchers in all decision making processes supports development of high quality datasets for comparative analytics across multiple institutions.Conclusion:A standard data specification and submission process alone does not guarantee aligned data for a collaborative registry. Implementing an iterative data quality improvement framework with extensive communication proved to be effective for aligning data from multiple institutions to support meaningful analytics.