Accession Number : ADA313772
Title : Measuring Quality: An Analysis of Perceived Quality at Irwin Army Community Hospital and the Customer's Intention to Return.
Descriptive Note : Final rept. Jul 94-Jul 95,
Corporate Author : ACADEMY OF HEALTH SCIENCES (ARMY) FORT SAM HOUSTON TX HEALTH CARE ADMINISTRATI ON
Personal Author(s) : Rumph, Jerald W.
PDF Url : ADA313772
Report Date : AUG 1995
Pagination or Media Count : 90
Abstract : Irwin Army Community Hospital has a means to measure patient satisfaction, however, it does not measure the customers' perceptions and expectations within multiple dimensions of quality of care. The purpose of this study was to explain whether the customers' overall satisfaction and intention to return was a function of the customers' perception of quality and if this meets his or her expectations. A sample of 505 beneficiaries were surveyed. The sample was stratified into six different groups: active duty females, active duty males, dependent females, dependent males, retiree males and retiree females. A multiple linear regression analysis was utilized to predict which dimension influenced overall satisfaction. Results showed the regression equations for each dimension within the beneficiary categories were highly significant. A one-way analysis of variance (ANOVA) test was used to assess the differences of the beneficiary categories and their intention to return to Irwin Army Community Hospital if they had a choice. The results indicate that a difference exists between the beneficiary category's intention to return. The findings of this study are consistent with the findings of previous studies and measures of patient satisfaction. Beneficiaries overall are moderately satisfied with the quality of care received at Irwin Army Community Hospital. The retired beneficiaries and their dependents are the most satisfied with the care received.
Descriptors : *MEASUREMENT, *ARMY FACILITIES, *ANALYSIS OF VARIANCE, *QUALITY, *PATIENTS, *HOSPITALS, *PERCEPTION(PSYCHOLOGY), FAMILY MEMBERS, ACTIVE DUTY, MALES, EQUATIONS, LINEAR REGRESSION ANALYSIS, STRATIFICATION, RETIREMENT(PERSONNEL), FEMALES.
Subject Categories : Psychology
Personnel Management and Labor Relations
Medical Facilities, Equipment and Supplies
Statistics and Probability
Logistics, Military Facilities and Supplies
Distribution Statement : APPROVED FOR PUBLIC RELEASE