Abstract

BackgroundEnd-of-life care preferences are potentially due to individual choice and feature variation due to culture and beliefs. This study aims to examine end-of-life care preferences and any associated factors, among the general Thai population. This could inform physicians in regards to how to optimize the quality of life for patients that are near the end of their lives.MethodsA cross-sectional study surveyed the general population in the Thai province of Songkhla; from January to April 2021. The questionnaires inquired about: 1) demographic information, 2) experiences with end-of-life care for their relatives, and 3) end-of-life care preferences. To determine end-of-life preferences, the data were analyzed using descriptive statistics. The data concerning patient demographics and end-of-life care preferences were compared using Fisher’s exact test.ResultsThe majority of the 1037 participants (67.6%) were female. The mean age among the adult and older adult groups were 40.9 ± 12.2, 70.0 ± 5.1, respectively. Half of them (48%) had an experience of observing someone die and 58% were satisfied with the care that their relatives had received. Most participants identified the following major end-of-life care preferences: having loved ones around (98.1%), being free from distressing symptoms (95.8%), receiving the full truth (95.0%), and having meaning in their lives (95.0%). There were no statistically significant differences in regards to end-of-life care preferences apart from being involved in treatment decisions, between adult and older adult groups.ConclusionThere was only one difference between the end-of-life preferences of the adult group versus the older adult group in regards to the topic of patient involvement in treatment decisions. Furthermore, receiving the full truth regarding their illness, being free from distressing symptoms, having loved ones around, and living with a sense of meaning were important end-of-life care preferences for both groups. Therefore, these should be taken into account when developing strategies towards improving patient life quality during their end-of-life period.

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