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Information Needs of Homecare Nurses During Admissions and Care Planning: An AHRQ-funded R01 study

Agency for Healthcare Research and Quality logo 

Annually 11 million older patients are admitted to home care agencies. Some of the high hospital readmission rates (i.e., 26% of patients in the first 14 days of the home care episode) can be prevented by improving clinical decision making at the point-of-care to provide more timely and appropriately targeted allocation of clinical resources. By investigating decision making during the clinical admission process and whether health information technology provides support or hindrance, this study will inform electronic health record design and future health information technology interventions related to transitions in care to and from home care.

The lead investigators for the study are:

  • Paulina Sockolow DrPH, MS, MBA: Principal Investigator (Associate Professor of Informatics, College of Nursing and Health Professions, Drexel University)
  • Ellen J. Bass PhD: Co-Investigator (Professor, College of Computing and Informatics and College of Nursing and Health Professions, Drexel University)
  • Kathryn H. Bowles PhD, RN, FAAN, FACMI: Co-Investigator (Professor of Nursing and van Ameringen Chair in Nursing Excellence, University of Pennsylvania School of Nursing)

Paulina Sockolow, DrPH, MS, MBA

Ellen J. Bass, PhD

Kathryn H. Bowles, PhD, FAAN, FACMI

Study Personnel:

  • Sheryl Potashnik, PhD: Project Manager and Analyst
  • Carl Pankok, Jr., PhD,CHFP: Research Associate
  • Yushi Yang, PhD: Post-Doctoral Fellow

Student Researchers:

  • Carl Eberle (Biomedical Engineering, Drexel University Class of 2017)
  • Christine Wojciechowicz (Biology, Drexel University Class of 2019)
  • Fatjona Zemanaj
  • Natasha Le (Nursing, University of Pennsylvania Class of 2018)
  • Annika Holmberg (Nursing, University of Pennsylvania Class of 2018)


Journal articles

Yang Y, Bass EJ, Bowles KH, Sockolow PS. Impact of home care admission nurses' goals on documentation strategies at the point of care electronic health record. CIN: Computers, Information, Nursing. doi:10.1097/CIN.0000000000000468 (In press)

Conference proceedings

Yang Y, Bass EJ, Sockolow PS, Bowles KH. Knowledge elicitation of homecare admission decision making processes via focus group, member checking and data visualization. Proceedings of the AMIA 2018 Annual Symposium. (In press)

Sockolow PS, Wojciechowicz C, Holmberg A, Bass EJ, Potashnik S, Yang Y, Bowles KH. Home care admission information: What nurses need and what nurses have. A mixed methods study. Stud Health Technol Inform. 2018;250:164-168. In: Rotegård A.K. et al. (Eds.) Proceedings of the 14th International Congress on Nursing Informatics (NI 2018). 2018 June 6-8, Guadalajara, Mexico. 2018 IMIA and IOS Press. doi:10.3233/978-1-61499-872-3-164. PMID: 29857421

Yang Y, Bass EJ, Sockolow PS. Distributed electronic documentation practices of homecare admission: Informing electronic health record design guidelines. In: Proceedings of the Human Factors and Ergonomics Society 2017 Annual Meeting; 2017, October 9–13, Austin, TX.

Sockolow PS, Bass EJ, Yang Y, Bowles KH, Holmberg A, Potashnik S. Data visualization of home care admission nurses' decision-making. In: Sarkar, N et al, editors. AMIA Annu Symp Proc. 2017: 1597–1606. PMID: 29854230

Sockolow P, Bass EJ, Eberle CL, Bowles KH. Homecare Nurses' Decision-Making During Admission Care Planning. Stud Health Technol Inform. 2016; 225:28-32. PMID: 27332156