Ethnicity and Language Differences in Patient Experience: an Analysis of the HCAHPS Survey

Author(s):  
Candice D. Donaldson ◽  
Archana Bharadwaj ◽  
Bradley Giafaglione ◽  
Pat Patton ◽  
Michelle A. Fortier ◽  
...  
Author(s):  
Brian W. Roberts ◽  
Michael B. Roberts ◽  
Anthony Mazzarelli ◽  
Stephen Trzeciak

Abstract Background We previously validated a 5-item compassion measure to assess patient experience of clinician compassion in the outpatient setting. However, currently, there is no validated and feasible method for health care systems to measure patient experience of clinician compassion in the inpatient setting across multiple hospitals. Objective To test if the 5-item compassion measure can validly and distinctly measure patient assessment of physician and nurse compassion in the inpatient setting. Design Cross-sectional study between July 1 and July 31, 2020, in a US health care network of 91 community hospitals across 16 states consisting of approximately 15,000 beds. Patients Adult patients who had an inpatient hospital stay and completed the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. Measurements We adapted the original 5-item compassion measure to be specific for physicians, as well as for nurses. We disseminated both measures with the HCAHPS survey and used confirmatory factor analysis for validity testing. We tested reliability using Cronbach’s alpha, as well as convergent validity with patient assessment of physician and nursing communication and overall hospital rating questions from HCAHPS. Results We analyzed 4756 patient responses. Confirmatory factor analysis found good fit for two distinct constructs (i.e., physician and nurse compassion). Both measures demonstrated good internal consistency (alpha > 0.90) and good convergent validity but reflected a construct (compassionate care) distinct from what is currently captured in HCAHPS. Conclusion We validated two 5-item tools that can distinctly measure patient experience of physician and nurse compassion for use in the inpatient hospital setting in conjunction with HCAHPS.


2021 ◽  
Vol 8 ◽  
pp. 237437352110343
Author(s):  
Kimberly A. Indovina ◽  
Angela Keniston ◽  
Venkata Manchala ◽  
Marisha Burden

Hospitals commonly seek to improve patient experience as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, yet there are limited data to guide improvement efforts. The HCAHPS survey was developed for interhospital comparisons, whereas its use in intrahospital comparisons has not been validated. We sought to better understand the validity of utilizing intrahospital score comparisons and to identify the factors that may predict top-box HCAHPS scores. We performed a retrospective observational cohort study at an academic urban safety-net hospital examining 4898 HCAHPS surveys completed by hospitalized patients. We found that while most Patient-Mix Adjustment factors for which HCAHPS scores are adjusted were associated with top-box scores on intrahospital comparisons, few additional variables were associated with top-box scores. Further, HCAHPS questions pertaining to nurse and doctor communication were highly correlated with overall hospital rating, suggesting that communication-related factors may influence a patient’s hospital experience more strongly than do administrative factors.


2018 ◽  
Vol 28 (6) ◽  
pp. 586-592 ◽  
Author(s):  
Jay M. Levin ◽  
Robert D. Winkelman ◽  
Joseph E. Tanenbaum ◽  
Edward C. Benzel ◽  
Thomas E. Mroz ◽  
...  

OBJECTIVEThe Patient Experience of Care, composed of 9 dimensions derived from the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, is being used by the Centers for Medicare & Medicaid Services to adjust hospital reimbursement. Currently, there are minimal data on how scores on the constituent HCAHPS items impact the global dimension of satisfaction, the Overall Hospital Rating (OHR). The purpose of this study was to determine the key drivers of overall patient satisfaction in the setting of inpatient lumbar spine surgery.METHODSDemographic and preoperative patient characteristics were obtained. Patients selecting a top-box score for OHR (a 9 or 10 of 10) were considered to be satisfied with their hospital experience. A baseline multivariable logistic regression model was then developed to analyze the association between patient characteristics and top-box OHR. Then, multivariable logistic regression models adjusting for patient-level covariates were used to determine the association between individual components of the HCAHPS survey and a top-box OHR.RESULTSA total of 453 patients undergoing lumbar spine surgery were included, 80.1% of whom selected a top-box OHR. Diminishing overall health status (OR 0.63, 95% CI 0.43–0.91) was negatively associated with top-box OHR. After adjusting for potential confounders, the survey items that were associated with the greatest increased odds of selecting a top-box OHR were: staff always did everything they could to help with pain (OR 12.5, 95% CI 6.6–23.7), and nurses were always respectful (OR 11.0, 95% CI 5.3–22.6).CONCLUSIONSPatient experience of care is increasingly being used to determine hospital and physician reimbursement. The present study analyzed the key drivers of patient experience among patients undergoing lumbar spine surgery and found several important associations. Patient overall health status was associated with top-box OHR. After adjusting for potential confounders, staff always doing everything they could to help with pain and nurses always being respectful were the strongest predictors of overall satisfaction in this population. These findings highlight opportunities for quality improvement efforts in the spine care setting.


2018 ◽  
Vol 36 (30_suppl) ◽  
pp. 21-21
Author(s):  
Joseph Dottino ◽  
Weiguo He ◽  
Charlotte C. Sun ◽  
Hui Zhao ◽  
Karen H. Lu ◽  
...  

21 Background: The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) is a patient experience and quality of care measure that impacts hospital reimbursement. HCAHPS data is made available to the public through Centers for Medicare and Medicaid. Given the potential implications for healthcare decision-making, this study sought to determine the utility of hospital-level data from the HCAHPS survey as a predictor of in-hospital postoperative outcomes in gynecologic cancer patients by creating a link with the Nationwide Inpatient Sample (NIS) database, an inpatient care database developed for the Healthcare Cost and Utilization Project (HCUP). Methods: 2009-2011 HCAHPS survey data was used to assign hospitals into terciles by scores. The NIS database was used to identify admissions for cancer-specific surgeries for patients with ovarian, uterine, and cervical cancers. Outcomes included complications, mortality, and prolonged length of stay. Mixed effects models compared correlation of outcomes and HCAHPS scores, after adjustment for patient-level and hospital-level variables. Results: 17,509 linked encounters in 651 hospitals across the U.S. were identified, with 51% uterine, 40% ovarian, and 9% cervical cancer surgical admissions. In-hospital mortality was less likely in hospitals in the highest vs. lowest tercile of summary HCAHPS scores (odds ratio (OR) 0.54, 95% CI: 0.31-0.94). While higher scores were not associated with overall postoperative complications, by complication subcategory, admissions in top tercile hospitals were less likely to have surgical complications (OR 0.82, 95% CI 0.69-0.98). No differences were found in risk of medical or nursing-related complications, or prolonged hospitalization (p > 0.05). Conclusions: For patients undergoing gynecologic oncology surgery, assessment of patient experience has limited correlation with in-hospital adverse surgical outcomes. Awareness of the limitations of HCAHPS survey data may better inform patients as consumers and highlights the importance for transparency of relevant quality measures.


1994 ◽  
Vol 3 (3) ◽  
pp. 77-88 ◽  
Author(s):  
Celeste Roseberry-McKibbin

The number of children with limited English proficiency (LEP) in U.S. public schools is growing dramatically. Speech-language pathologists increasingly receive referrals from classroom teachers for children with limited English proficiency who are struggling in school. The speech-language pathologists are frequently asked to determine if the children have language disorders that may be causing or contributing to their academic difficulties. Most speech-language pathologists are monolingual English speakers who have had little or no coursework or training related to the needs of LEP children. This article discusses practical, clinically applicable ideas for assessment and treatment of LEP children who are language impaired, and gives suggestions for distinguishing language differences from language disorders in children with limited English proficiency.


2017 ◽  
Vol 23 ◽  
pp. 258
Author(s):  
Elizabeth Wendt ◽  
Maria Bates ◽  
Reese Randle ◽  
Jason Orne ◽  
Cameron Macdonald ◽  
...  

2020 ◽  
Author(s):  
LA Evitt ◽  
R Follows ◽  
JH Bentley ◽  
W Williams ◽  
R von Maltzahn

Author(s):  
Maitane GARCÍA-LÓPEZ ◽  
Ester VAL ◽  
Ion IRIARTE ◽  
Raquel OLARTE

Taking patient experience as a basis, this paper introduces a theoretical framework, to capture insights leading to new technological healthcare solutions. Targeting a recently diagnosed type 1 diabetes child and her mother (the principal caregiver), the framework showed its potential with effective identification of meaningful insights in a generative session. The framework is based on the patient experience across the continuum of care. It identifies insights from the patient perspective: capturing patients´ emotional and cognitive responses, understanding agents involved in patient experience, uncovering pain moments, identifying their root causes, and/or prioritizing actions for improvement. The framework deepens understanding of the patient experience by providing an integrated and multi-leveled structure to assist designers to (a) empathise with the patient and the caregiver throughout the continuum of care, (b) understand the interdependencies around the patient and different agents and (c) reveal insights at the interaction level.


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