title: Satisfaction Data Collected by E-mail and Smartphone for Emergency Department Patients: How Do Responders Compare With Nonresponders?
abstract: OBJECTIVE
  This study profiles an innovative approach to capture patient satisfaction data from emergency department (ED) patients by implementing an electronic survey method. This study compares responders to nonresponders.
  
  
  BACKGROUND
  Our hypothesis is that the cohort of survey respondents will be similar to nonresponders in terms of the key characteristics of age, gender, race, ethnicity, ED disposition, and payor status.
  
  
  METHODS
  This study is a cross-sectional design using secondary data from the database and provides an opportunity for univariate analysis of the key characteristics for each group. The data elements will be abstracted from the database and compared with the same key characteristics from a similar sample from the database on nonresponders to the ED satisfaction survey.
  
  
  RESULTS
  Age showed a statistically significant difference between responders and nonresponders. Comparison by disposition status showed no substantial difference between responders and nonresponders. Gender distribution showed a greater number of female than male responders. Race distribution showed a greater number and response by white and Asian patients as compared with African Americans. A review of ethnicity showed fewer Hispanics responded. An evaluation by payor classification showed greater number and response rate by those with a commercial or Workers Comp payor source. The response rate by Medicare recipients was stronger than expected; however, the response rate by Medicaid recipients and self-pay could be a concern for underrepresentation by lower socioeconomic groups. Finally, the evaluation of the method of notification showed that notification by both e-mail and text substantially improved response rates.
  
  
  CONCLUSIONS
  The evaluation of key characteristics showed no difference related to disposition, but differences related to age, gender, race, ethnicity, and payor classification. These results point to a potential concern for underrepresentation by lower socioeconomic groups. The results showed that notification by both e-mail and text substantially improved response rates.
authors: Author Affiliations: Associate Vice President (Dr Strickler), UNC Hospitals, Chapel Hill; Founder and Director of Research and Development (Dr Lopiano), Roundtable Analytics, Research Triangle Park, North Carolina.
authors: Jeffery C
authors: JC
authors: Strickler
authors: Kenneth K
authors: KK
authors: Lopiano
mesh_terms: D003430:Cross-Sectional Studies; D034742:Electronic Mail / Q000706:statistics & numerical data*; D004636:Emergency Service, Hospital / Q000458:organization & administration*; D004638:Emergency Treatment / Q000523:psychology / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D017060:Patient Satisfaction / Q000706:statistics & numerical data*; D010817:Physician-Patient Relations; D011795:Surveys and Questionnaires