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Accelerated population aging has driven substantial growth in demand for palliative care services. Such services can effectively enhance the living quality for end-of-life patients through multidimensional interventions. Currently, China lacks a localised experience-oriented quality assessment scale for palliative care, resulting in gaps in service quality supervision. To develop a self-reported measurement for palliative care services, with the foundation in the Senses Framework.
This study developed a scale by extracting core contributors of palliative care experiences through 14 patients and 16 families' narratives. To refine and improve the scale, a total of 19 experts were invited to participate in a two-round Delphi expert consultation. Additionally, an empirical research was conducted, with 380 valid samples from two independent cohorts collected to complete the full psychometric testing of the scale.
The final Palliative Care Experience Scale (PCES) comprises two dimensions: sense of security and belonging, and sense of purpose and significance, with a total of 13 items. The total variance includes 79.26% that is explained by these two factors. Confirmatory factor analysis confirmed a stable factor structure for the PCES. The scale exhibited good reliability, with a total Cronbach' α of 0.937, McDonald' ω of 0.952, and Spearman-Brown corrected split-half reliability of 0.897. Cronbach's α for both dimensions exceeded 0.88. The scale's SEM was 1.50 and MDC95 was 4.16, offering a validated threshold to identify real changes in patients' palliative care experience.
This study developed an assessment scale of palliative care quality based on the Senses Framework, uniquely centred on patient experiences. Validated through robust methodologies, this scale fills a gap in the evaluation of experiential dimensions of palliative care in China, providing a scientific and feasible measurement tool for the continuous improvement of services.
This study addresses the critical gap of a culturally adapted, patient experience-centred tool for evaluating palliative care service quality in China. Its core finding is the successful development and full psychometric validation of the 13-item Palliative Care Experience Scale (PCES). This research provides a reliable tool for palliative care clinical practice and academic research to capture patients' care experience, offers clinicians and administrators a practical instrument to identify service gaps and guide quality improvement, and delivers foundational reference data for policymakers to advance patient-centred palliative care development in China.
We adhered to the relevant EQUATOR reporting guidelines. The development and validation process followed the COSMIN framework for patient-reported outcome measures.
Patients receiving palliative care and familes played an integral role in designing and conducting this study. In Phase I, qualitative data from semi-structured interviews with 14 patients and 16 families helped define core thematic constructs and develop the initial item pool, which ensured the scale's content validity were based on their real-life experiences. In Phase III, we recruited a new, independent cohort of participants to complete the psychometric testing of the scale, providing key data for its validation.
Death preparedness is an important prerequisite for improving the quality of life and the quality of death in advanced cancer patients. However, research on the level of death preparedness in patients is insufficient, and there is little understanding of the current status and influencing factors of death preparedness in advanced cancer patients.
This study aims to assess the current status of death preparedness and its influencing factors in advanced cancer patients.
Based on the PRECEDE-PROCEED model, a structured survey questionnaire was designed to collect data on personal factors (such as gender, age and residence area), interpersonal factors (such as social support, caregiver readiness and healthcare worker readiness) and social factors (such as care resources, policy support and information supply). Through multiple linear regression and BP neural network analysis, the study explores the impact and significance of these influencing factors on death preparedness in advanced cancer patients.
A total of 930 valid questionnaires were collected in this study. The death preparedness score in advanced cancer patients was 72.18 ± 22.82, indicating a moderate level, with the highest score being the ‘reflexive care’ dimension and the lowest score being the ‘hospice programme’ dimension. Multivariate analysis revealed that meaning in life and social support were the most significant predictors of death preparedness in advanced cancer patients. In addition, personal factors such as dignity, household income and coping style, also played an important role. Interpersonal factors like social support, as well as social factors such as care resources and policy support, also had an impact on patients' death preparedness to some extent.
Death preparedness in advanced cancer patients is generally at a moderate level, and death preparedness is influenced by a combination of personal factors, interpersonal factors and social factors.
This study is based on the PRECEDE-PROCEED model to comprehensively explore the influencing factors of death preparedness in advanced cancer patients. It provides theoretical support for improving life services for advanced cancer patients. It offers valuable practical experience and insights for societal attention and reform in end-of-life care.
No Patient or Public Contributions were included in this paper.
Digital exclusion has been linked to adverse health outcomes among older adults. However, its relationship with health literacy, a midstream determinant of health outcomes in aging populations, remains insufficiently explored.
To investigate the relationship between digital exclusion and health literacy among older adults, and to assess the mediating effects of social support and self-efficacy.
A cross-sectional study.
Data from the 2021 Psychology and Behaviour Investigation of Chinese Residents (PBICR) survey were used. Digital exclusion was assessed through self-reported non-use of computers or smartphones. Health literacy, social support and self-efficacy were measured using the Short-Form Health Literacy Instrument, the 12-item Perceived Social Support Scale and the New General Self-Efficacy Scale. Generalised linear models (GLM) were employed to examine the relationships between digital exclusion and health literacy, while mediation analysis with bootstrapping assessed the mediating roles of social support and self-efficacy.
A total of 1147 older adults participated in the study, with 27.64% identified as digitally excluded and a moderate level of health literacy. GLM analysis identified several significant factors influencing health literacy, including digital exclusion, social support, self-efficacy, higher education levels, household monthly income per capita > 3000 RMB, non-agricultural hukou, chronic conditions and medication use. Mediation analysis revealed that digital exclusion negatively impacted health literacy. Social support and self-efficacy partially mediated the relationship between digital exclusion and health literacy.
Digital exclusion is negatively associated with health literacy among older adults, with social support and self-efficacy partially mediating the relationship.
This study underscores the importance of addressing digital exclusion, as well as promoting social support and self-efficacy to enhance health literacy in ageing populations.
This study provides insights into the relationship between digital exclusion and health literacy among older adults, as well as the mediating effects of social support and self-efficacy, offering potential targets for health literacy improvement.
STROBE Statement (STrengthening the Reporting of OBservational studies in Epidemiology).
No patient or public contribution was involved.
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