Health-care managers are tasked with addressing many organizational aspects including patient satisfaction. Patient satisfaction is clearly one of the critical priorities for managers. There has been many patient satisfaction studies to respond to the need of improving patient satisfaction. In order to develop an effective intervention program to improve patient satisfaction, more specific research outcomes are needed. This study utilized data collected between January 2007 and June 2008 from 32 hospitals representing a large, national not-for-profit hospital system. The patient satisfaction survey included the Consumer Assessment of Healthcare Providers and Systems, Health Care questionnaire items, and there are 31,471 cases. Two-stage multiple linear regression analyses were conducted with control variables (age, gender, perceived health, education and race).
It was found that patients’ highest priority is to be treated with courtesy and respect by nurses and physicians (Otani, K., Herrmann, P., & Kurz, R., 2011).
An effective intervention program to improve patient satisfaction would include a training program, where care providers understand that patients want them to show courtesy and respect. Then, well-trained and compassionate nurses and staff members can comfort patients, and consequently improve patient satisfaction. Parameters of Interest
The Essay on Patient satisfaction and quality of care
... independent and not correlated with patient care... For example: in pain management, the patient satisfaction scores are a lot of ... adoption of evidence based practices to improve patient safety. Through annual surveys, the program measures whether hospitals have adopted ... that is obviously not included in the statistical analysis of this. Overall, regarding patient readiness with these statistics ...
Data was collected through a two-wave mailed survey. Patients discharged from one of the hospitals were randomly selected and received the HCAHPS Survey in the mail and responded directly to the survey vendor. The survey vendor compiled the data and sent a data set to the health system’s central office. The overall response rate was 38.4% (Otani, K., Herrmann, P., & Kurz, R., 2011).
The two part analysis consists of analyzing the relationship between care givers and analyzing the questionnaire to identify the more influential items. A multiple linear regression model was utilized together with control variables age, gender, perceived health, education, and race (Otani, K., Herrmann, P., & Kurz, R., 2011).
Results
There were 31,471 cases for the analysis. The mean age was 61.8 years and the standard deviation was 19.5 years. There were 11,335 male patients (36%), 19,060 female patients (60.6%) and 1076 (3.4%) unknowns. The race distributions were as follows: White, 27,509 (87.4%); African American, 2175 (6.9%); Asian, 286 (0.9%); Hawaiian and Pacific Islander, 33 (0.1%); and American-Indian, 151 (0.5%).
The level of significance utilized throughout was α
