Patient satisfaction - results of cluster analysis of finnish patients.

BACKGROUND: Healthcare providers must understand patients' expectations and perceptions of the care they receive to provide high-quality care. The purpose of this study is to identify and analyse different clusters of patient satisfaction with the quality of care at Finnish acute care hospitals. METHODS: A cross-sectional design was applied. The data were collected in 2017 from three Finnish acute care hospitals with the Revised Humane Caring Scale (RHCS) as a paper questionnaire, including six background questions and six subscales. The k-means clustering method was used to define and analyse clusters in the data. The unit of analysis was a health system encompassing inpatients and outpatients. Clusters revealed the common characteristics shared by the different groups of patients. RESULTS: A total of 1810 patients participated in the study. Patient satisfaction was categorised into four groups: dissatisfied (n = 58), moderately dissatisfied (n = 249), moderately satisfied (n = 608), and satisfied (n = 895). The scores for each subscale were significantly above average in the satisfied patient group. The dissatisfied and moderately dissatisfied patient groups reported scores for all six subscales that were clearly below the average value. The groups significantly differed in terms of hospital admission (p = .013) and living situation (p = .009). Patients representing the dissatisfied and moderately dissatisfied groups were acutely admitted more frequently than patients in other groups and were more likely to live alone than satisfied and moderately satisfied patients. CONCLUSION: The results mostly demonstrated high levels of patient satisfaction; however, the perceptions of minority populations of dissatisfied patients should be assessed to identify shortcomings in the care provided. More attention should be paid to acutely admitted patients who are living alone and the pain and apprehension management of all patients.