Measuring patient satisfaction in complex continuing care/rehabilitation care.
Purpose - The purpose of this paper is to develop a psychometrically validated survey to assess satisfaction in complex continuing care (CCC)/rehabilitation patients. Design/methodology/approach - A paper or computer-based survey was administered to 252 CCC/rehabilitation patients (i.e. post-acute hospital care setting for people who require ongoing care before returning home) across two hospitals in Toronto, Ontario, Canada. Findings - Using factor analysis, five domains were identified with loadings above 0.4 for all but one item. Behavioral intention and information/communication showed the lowest patient satisfaction, while patient centredness the highest. Each domain correlated positively and significantly predicted overall satisfaction, with quality and safety showing the strongest predictive power and the healing environment the weakest. Gender made a significant contribution to predicting overall satisfaction, but age did not. Research limitations/implications - Results provide evidence of the survey's psychometric properties. Owing to a small sample, supplemental testing with a larger patient group is required to confirm the five-factor structure and to assess test-retest reliability. Originality/value - Improving the health system requires integrating patient perspectives. The patient experience, however, will vary depending on the population being served. This is the first psychometrically validated survey specific to a smaller specialty patient group receiving care at a CCC/rehabilitation facility in Canada.
School of Public Administration, University of Victoria, Victoria, British Columbia, Canada.
Navin
N
Malik
Department of Architectural Science, Ryerson University, CARE, Toronto, Ontario, Canada.
Celeste
C
Alvaro
Bridgepoint Collaboratory for Research and Innovation, Bridgepoint Active Healthcare, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Kerry
K
Kuluski
Bridgepoint Collaboratory for Research and Innovation, Bridgepoint Active Healthcare, Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.
Andrea J
AJ
Wilkinson
D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D003142:Communication; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009864:Ontario; D010043:Outcome and Process Assessment, Health Care / Q000458:organization & administration* / Q000592:standards; D017060:Patient Satisfaction; D018802:Patient-Centered Care / Q000592:standards; D011594:Psychometrics; D019984:Quality Indicators, Health Care / Q000458:organization & administration* / Q000592:standards; D011787:Quality of Health Care; D012047:Rehabilitation Centers / Q000458:organization & administration* / Q000592:standards; D015203:Reproducibility of Results; D012737:Sex Factors; D011795:Surveys and Questionnaires / Q000592:standards*
Health policy; Long term care; Patient satisfaction; Quality improvement; Rehabilitation; Surveys