Amol Utrankar1, Tilicia L Mayo-Gamble2, Whitney Allen3, Laurie Novak4, Adetola A Kassim5, Kemberlee Bonnet6, David Schlundt6, Velma M Murry7, Gretchen Purcell Jackson4,8,9, Michael DeBaun10, Robert M Cronin4,8,11. 1. School of Medicine, Vanderbilt University, Nashville, TN, USA. 2. Department of Community Health, Georgia Southern University, Statesboro, GA, USA. 3. School of Medicine, Meharry Medical College, Nashville, TN, USA. 4. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA. 5. Department of Medicine, Division of Hematology/Oncology, for Excellence in Sickle Cell Disease, Vanderbilt University Medical Center, Nashville, TN, USA. 6. Department of Psychology, Vanderbilt University, Nashville, TN, USA. 7. Department of Human & Organizational Development, Vanderbilt University, Nashville, TN, USA. 8. Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA. 9. Department of Pediatric Surgery, Vanderbilt University Medical Center, Nashville, TN, USA. 10. Department of Pediatrics, Division of Hematology/Oncology, Vanderbilt-Meharry Center for Excellence in Sickle Cell Disease, Vanderbilt University Medical Center, Nashville, TN, USA. 11. Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Abstract
Objective: Sickle cell disease (SCD) is a chronic condition affecting over 100 000 individuals in the United States, predominantly from vulnerable populations. Clinical practice guidelines, written for providers, have low adherence. This study explored knowledge about guidelines; desire for guidelines; and how technology could support guideline awareness and adherence, examining current technology uses, and user preferences to inform design of a patient-centered guidelines application in a chronic disease. Methods: This cross-sectional mixed-methods study involved semi-structured interviews, surveys, and focus groups of adolescents and adults with SCD. We evaluated interest, preferences, and anticipated benefits or barriers of a patient-centered adaptation of SCD practice guidelines; prospective technology uses for health; and barriers to technology utilization. Results: Forty-seven individuals completed surveys and interviews, and 39 participated in three separate focus groups. Most participants (91%) were unaware of SCD guidelines, but almost all (96%) expressed interest in a guidelines application, identifying benefits (knowledge, activation, individualization, and rewards), and barriers (poor information, low motivation, and resource limitations). Current technology health uses included information access, care coordination, and reminders about health-related actions. Prospective technology uses included informational messaging and timely alerts. Barriers to technology use included lack of interest, lack of utility, and preference for direct communication. Conclusions: This study's findings can inform the design of clinical practice guideline applications, suggesting a promising role for technology to engage patients, facilitate care decisions and actions, and improve outcomes.
Objective: Sickle cell disease (SCD) is a chronic condition affecting over 100 000 individuals in the United States, predominantly from vulnerable populations. Clinical practice guidelines, written for providers, have low adherence. This study explored knowledge about guidelines; desire for guidelines; and how technology could support guideline awareness and adherence, examining current technology uses, and user preferences to inform design of a patient-centered guidelines application in a chronic disease. Methods: This cross-sectional mixed-methods study involved semi-structured interviews, surveys, and focus groups of adolescents and adults with SCD. We evaluated interest, preferences, and anticipated benefits or barriers of a patient-centered adaptation of SCD practice guidelines; prospective technology uses for health; and barriers to technology utilization. Results: Forty-seven individuals completed surveys and interviews, and 39 participated in three separate focus groups. Most participants (91%) were unaware of SCD guidelines, but almost all (96%) expressed interest in a guidelines application, identifying benefits (knowledge, activation, individualization, and rewards), and barriers (poor information, low motivation, and resource limitations). Current technology health uses included information access, care coordination, and reminders about health-related actions. Prospective technology uses included informational messaging and timely alerts. Barriers to technology use included lack of interest, lack of utility, and preference for direct communication. Conclusions: This study's findings can inform the design of clinical practice guideline applications, suggesting a promising role for technology to engage patients, facilitate care decisions and actions, and improve outcomes.
Authors: Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde Journal: J Biomed Inform Date: 2008-09-30 Impact factor: 6.317
Authors: Lisa M Shook; Christina B Farrell; Karen A Kalinyak; Stephen C Nelson; Brandon M Hardesty; Angeli G Rampersad; Kay L Saving; Wanda J Whitten-Shurney; Julie A Panepinto; Russell E Ware; Lori E Crosby Journal: Med Educ Online Date: 2016-11-24
Authors: Joseph A Cafazzo; Mark Casselman; Nathaniel Hamming; Debra K Katzman; Mark R Palmert Journal: J Med Internet Res Date: 2012-05-08 Impact factor: 5.428
Authors: Jennifer N Stinson; Chitra Lalloo; Lauren Harris; Lisa Isaac; Fiona Campbell; Stephen Brown; Danielle Ruskin; Allan Gordon; Marilyn Galonski; Leah R Pink; Norman Buckley; James Lorne Henry; Meghan White; Allia Karim Journal: Pain Res Manag Date: 2014-07-07 Impact factor: 3.037
Authors: Sherif M Badawy; Robert M Cronin; Jane Hankins; Lori Crosby; Michael DeBaun; Alexis A Thompson; Nirmish Shah Journal: J Med Internet Res Date: 2018-07-19 Impact factor: 5.428
Authors: Marian Taylor Dorst; Shilo H Anders; Sai Chennupati; Qingxia Chen; Gretchen Purcell Jackson Journal: J Med Internet Res Date: 2019-05-09 Impact factor: 5.428