Factors Impacting Patients' Willingness to Recommend: A Structural Equation Modeling Approach.

Patient ratings of inpatient stay have been the focus of prior research since better patient satisfaction results in a financial benefit to hospitals and are associated with better patient health care outcomes. However, studies that simultaneously account for within- and between-hospital effects are uncommon. We constructed a multilevel structural equation model to identify predictors of patients' willingness to recommend a hospital at both within-hospital and between-hospital levels.

Patient Satisfaction, Quality Attributes, and Organizational Characteristics: A Hierarchical Linear Model Approach.

Patient satisfaction studies have gained more and more attention, and there are many patient satisfaction studies. These studies assume that patients were selected randomly and independently, but patient satisfaction surveys are described as a multistage or hierarchically structured sample. Thus, there is a need to conduct a hierarchical linear model (HLM) analysis with a large number of hospitals.

What Factors Affect Patient Perceptions on Their Hospital Experience?

Patient experience has been one of many significant drivers in determining hospitals' performance. Multivariate logistic regression was used to investigate the factors that impacted patients' likelihood to give top ratings for the overall hospital experience. Large hospitals with a lower percentage of Medicare/Medicaid patients and existing electronic health record system were more likely to receive top ratings.

Different Combining Process Between Male and Female Patients to Reach Their Overall Satisfaction.

Patient satisfaction and how it is measured is an important field of study in healthcare. Consequently, there have been many patient satisfaction studies. However, there is a lack of studies that focused on how male and female patients perceive, or weigh, their overall satisfaction.

The Impact of Self-Rated Health Status on Patient Satisfaction Integration Process.

The purpose of this study was to investigate how patients' self-rated health status (SRHS) is associated with their attribute reaction integration process and, in turn, their overall ratings of hospitals. We collected patient satisfaction data from 70 hospitals by means of a patient satisfaction questionnaire. The sample included patients who were 18 years or older and discharged from the hospital from July 1, 2011, through June 30, 2012.

Impact of Pain on Patient Satisfaction Integration Process: How Patients With Pain Combine Their Health Care Attribute Reactions.

Context: Health care environments have been changing rapidly, and one of the changes is to emphasize patient satisfaction. However, most studies assume that all patients integrate their health care attribute reactions in the same way to arrive at their satisfaction.

Objective: The objective of this study is to investigate how patients' experience of pain influences their attribute reaction integration process and their overall rating of the hospital.

Evaluating the influence of perceived pain control on patient satisfaction in a hospital setting.

The authors evaluated whether a patient's perceived pain control influenced the relationships between four attributes (nursing, physician, staff, and environment) and patient satisfaction. Multiple linear regression analyses were conducted to examine overall satisfaction and intention to recommend, controlling for race, gender, age, and education. The authors found that no matter the level of pain control, nursing was always the most influential attribute in patient satisfaction.

Increasing patient satisfaction: a new model development.

Most patient satisfaction studies put an emphasis on finding key drivers (attribute) to increase overall patient satisfaction. However, it is not clear how much health care managers need to improve certain attributes to attain the target overall patient satisfaction level. The study aims at finding not only what attributes, but also how much these attributes need to be improved to attain the target levels of patient satisfaction.

Patient satisfaction and organizational impact: a hierarchical linear modeling approach.

This article presents the rationale for using multilevel analysis to address the broad environmental contexts in patient satisfaction research. This study utilized patient satisfaction data and the American Hospital Association Hospital Guide Book (2004). This study found significant contributions of individual patient attribute reactions (nursing care, physician care, etc.

Patient satisfaction: how patient health conditions influence their satisfaction.

With increasing emphasis in healthcare on patient satisfaction, many patient satisfaction studies have been administered. Most assume that all patients combine their healthcare experiences (such as nursing care, physician care, etc.) in the same way to arrive at their satisfaction; however, no research has been conducted prior to the present study to investigate how patients' health conditions influence the way they combine their healthcare experiences.

Improving patient satisfaction in hospital care settings.

Health-care managers have to address many aspects of the organization, and patient satisfaction is clearly one of the critical aspects for managers. To respond to the need of health-care managers, there have been many patient satisfaction studies. However, these studies focus on which attributes (factors such as nursing care and physician care) are more influential; they do not provide specific aspects for each attribute.

Inpatients' willingness to recommend: a multilevel analysis.

Background: Satisfaction with health care is one of the most widely assessed measures of hospital care quality, yet studies that account for clustering effects are uncommon. We constructed a multilevel model to identify predictors of willingness to recommend while controlling for clustering effects due to hospital and care unit. We also examined differences in predictors by care unit.

Improving patient evaluation of hospital care and increasing their intention to recommend: are they the same or different constructs?

Many patient satisfaction studies consider patient satisfaction and intention to recommend as the same constructs. However, we propose to investigate the two constructs separately. This study has utilized patient satisfaction data with 32 hospitals in different locations to investigate how hospital discharged patients combine their attribute reactions to arrive at their evaluation of hospital care and their intention to recommend to others.

Patient satisfaction integration process: are there any racial differences?

Background: Patient satisfaction studies have received strong attention from both health care managers and researchers. Many of them investigate how patients combine their health care attribute reactions to arrive at their overall satisfaction. These studies, however, did not specifically investigate a possible different combining process among different racial groups.

How patient reactions to hospital care attributes affect the evaluation of overall quality of care, willingness to recommend, and willingness to return.

Patient satisfaction is a critical part of the quality outcomes of healthcare. Every industry is interested in customer satisfaction because satisfied customers are loyal customers. Healthcare is no exception.

Healthcare cost and predictive factors: high- and low-utilization model development.

Healthcare costs in the U.S. are the highest in the world and are increasing rapidly.

Patient satisfaction: focusing on "excellent".

In an emerging competitive market such as healthcare, managers should focus on achieving excellent ratings to distinguish their organization from others. When it comes to customer loyalty, "excellent" has a different meaning. Customers who are merely satisfied often do not come back.

Enrollees' global rating process of health care with the national CAHPS Benchmarking Database.

The CAHPS survey, a national-level data set, was used to determine how enrollees rate their health care with an emerging new noncompensatory model. The test results show the "People's experiences with how well their doctors communicate" attribute has the largest impact on the global rating of health care. We discuss the implications of this study for health care managers who work hard to improve how patients perceive their health care services.

Managing primary care using patient satisfaction measures.

Our study aimed to identify which attributes of a primary healthcare experience have the most impact on patient satisfaction as well as which aspects of each attribute are most significant in patients' response to the services they receive. The three attributes examined in this study were access, staff care, and physician care. Analyses of the aspects of each attribute controlled for age, gender, and race.

Different integration processes of patient satisfaction among four groups.

We examined integration processes of patient satisfaction among four groups of patients and found that these groups of patients combined their health care attribute reactions differently to form their overall satisfaction. For the study, we used an emerging noncompensatory model in health care and considered an interaction effect in the analysis. We discuss the implication of the different integration processes of patient satisfaction for health care managers and make practical suggestions for more effective and efficient means of increasing patient satisfaction.

The impact of nursing care and other healthcare attributes on hospitalized patient satisfaction and behavioral intentions.

Healthcare organizations in the United States are struggling to find ways to survive in their uncertain and competitive environments. One of the survival strategies used by those organizations is to increase patient satisfaction. This article presents research on factors that influence hospitalized patients' satisfaction and their intention to return to and recommend the hospital.

A paradigm shift in patient satisfaction assessment.

The authors investigated the relationships between patients' reactions to health care attributes and their overall satisfaction with primary care. The study found the following: (1) patients' overall satisfaction levels are disproportionately influenced by low levels of their reactions (less satisfied) to the primary care attribute, rather than simply averaged out among attribute reactions. This is a noncompensatory relationship.

Reconsidering models of patient satisfaction and behavioral intentions.

This article considers several models of how patients integrate their reactions to hospital attributes and how these reactions impact their overall satisfaction and behavioral intentions. It finds that patients combine their reactions to the attributes by means of noncompensatory and nonlinear models to form their overall satisfaction or behavioral intentions.