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Full-Text Articles in Medicine and Health Sciences
Using Design-Thinking To Investigate And Improve Patient Experience, Jennifer Smiechowski, Megan Mercia, Kyle Kemp, Elizabeth Oddone Paolucci, Maria Santana, Rahim Kachra
Using Design-Thinking To Investigate And Improve Patient Experience, Jennifer Smiechowski, Megan Mercia, Kyle Kemp, Elizabeth Oddone Paolucci, Maria Santana, Rahim Kachra
Patient Experience Journal
Understanding and enhancing the patient experience can lead to improved healthcare outcomes. The purpose of this study was to capture a comprehensive and nuanced understanding of the patient experience on an inpatient medical teaching unit in order to identify key deficiencies and unmet needs. We then aim to implement a design-thinking methodology to find innovative ways to solve these deficiencies. Here we present the first two phases of this four-phased study. We retrospectively and prospectively collected quantitative data about patient experience with the Canadian Patient Experiences Survey-Inpatient Care. We then used this data to guide patient interviews. We identified several …
Sociodemographic Characteristics And Patient And Family Experience Survey Response Biases, Lauren N. Brinkman, Myra S. Saeed, Andrew F. Beck, Michael C. Ponti-Zins, Ndidi I. Unaka, Mary C. Burkhardt, Jareen Meinzen-Derr, Samuel P. Hanke
Sociodemographic Characteristics And Patient And Family Experience Survey Response Biases, Lauren N. Brinkman, Myra S. Saeed, Andrew F. Beck, Michael C. Ponti-Zins, Ndidi I. Unaka, Mary C. Burkhardt, Jareen Meinzen-Derr, Samuel P. Hanke
Patient Experience Journal
Enhancing Patient and Family Experience (PFE) is vital to the delivery of quality healthcare services. Sociodemographic differences affect health outcomes and experiences, but research is limited on biases in PFE survey methodology. We sought to assess survey participation rates across sociodemographic characteristics. This retrospective study analyzed a health system’s ambulatory PFE survey data, collected January 1 – July 31, 2019. Outcomes of interest were rates of survey response, completion, and comments. Predictors included respondent-reported race, ethnicity, language, and measure of social deprivation attached to a respondent’s home address. Addresses were geocoded to census tracts. The tract’s degree of socioeconomic deprivation …