New Instrument to Measure Hospital Patient Experiences in Flanders.
Luk BruyneelElse TambuyzerEllen CoeckelberghsDirk De WachterWalter SermeusDirk De RidderDirk RamaekersIlse WeeghmansKris VanhaechtPublished in: International journal of environmental research and public health (2017)
Implementing a standardized patient experience survey may initiate a process to apply pressure on hospitals to attend to improving patient experiences. In Flanders, Belgium, the Flemish Patient Survey was developed between 2011 and 2015. A preliminary version was developed from a scoping review and patient and expert focus groups, and included 27 items for eight hypothesized dimensions: 'preparing for hospital stay', 'information and communication', 'coordination', 'respect', 'privacy', 'safe care', pain management', and 'participation'. Exploratory factor analysis for 1076 patients in 17 hospitals found that the data did not fit the dimensions. Adaptations in item wording and response categories were based on the US Hospital Consumer Assessment of Healthcare Providers and Systems. The revised version showed excellent model fit in 22,143 patients in 37 hospitals. Multiple group analysis pointed to evidence of measurement invariance over time across mode of administration, type of nursing unit, and various patient characteristics. Fostering a collaborative approach thus proved successful in implementing a standardized patient experience survey. The most recent findings (2016) illustrate substandard performance and a need for patient-mix adjustment. The Flemish government developed a dedicated website to make findings publicly available and the federal government currently considers patient experiences in devising a pay-for-quality scheme.
Keyphrases
- healthcare
- case report
- pain management
- quality improvement
- mental health
- end stage renal disease
- ejection fraction
- emergency department
- newly diagnosed
- chronic pain
- cross sectional
- physical activity
- chronic kidney disease
- prognostic factors
- palliative care
- health information
- acute care
- clinical practice
- artificial intelligence
- psychometric properties
- patient reported