Our Work

System-Integrated Technology-Enabled Model of Care Aiming to Improve the Health of Stroke Patients in Poorly Resourced Settings in China

Project Objectives

**Project PI:** Lijing Yan, MPH, PhD
**Duke Consortium PI:** Elizabeth L Turner, PhD

The Duke University Consortium will provide faculty expertise and leadership in biostatistics and stroke rehabilitation. Collaboration will be provided by Dr. Elizabeth L Turner and Dr. Janet Prvu Bettger, both of whom have existing collaborations with Dr. Yan. Biostatistical Expertise Dr. Turner has extensive experience in the design, implementation and analysis of cluster randomized controlled trials (CRCT). As such, she has contributed to the development of the proposed CRCT study design and will contribute to:

1. any required refinements of the design,
2. input on the data collection tools,
3. high-level principles of data management,
4. development of the final statistical analysis plan (SAP), and,
5. other statistical and data issues that arise.

She will provide ongoing support throughout the duration of the project and will make at least two in-person visits to the site during the project. Deliverables include approval of the SAP by Dec 31 2016, approval of final analyses (conducted by a data analyst) by Dec 31 2018 and contributions to and approval of final manuscript (subject to it being written by the first author) by Dec 31 2018.

Stroke Rehabilitation Expertise Dr. Bettger' is an expert in neuro-rehabilitation and health services research. She is the principal investigator (PI) on a Patient-Centered Outcomes Research Institute (PCORI) grant to study the comparative effectiveness of rehabilitation and post-acute care services for survivors of an acute ischemic stroke, co-investigator on a 50-site PCORI-funded pragmatic trial on stroke early supported discharge and transitional care, the project PI on two NIH funded studies to examine outcomes after inpatient rehabilitation and is co-Investigator on the RECOVER trial in China led by Dr. Yan, a randomized controlled trial of early supported discharge and transitional care in rural China.

As such, she will provide advice and guidance on

1. the conceptual framework for the proposed research,
2. input on data collection tools,
3. development of research materials, and,
4. interpretation of research findings for dissemination.

She will provide ongoing support throughout the duration of the project, will participate in research team calls as needed, and travel for any in-person full-team meeting as designed. Deliverables include approval of the research materials by Dec 31 2016, contributions to and approval of final manuscript (subject to it being written by the first author) by Dec 31 2018.

Department & School

Biostatistics and Bioinformatics
School of Medicine

Locations

Sponsors

  • Duke Kunshan University

Project Status

Ongoing

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