1.Adjustment and preliminary application of a data-driven palliative care outcomes collaboration model
Yongyi CHEN ; Junchen GUO ; Jinfeng DING ; Boyong SHEN ; Ying WANG ; Zhiguo ZHOU ; Qinghui ZHANG ; Liqun LI ; Feng LIANG ; HOLLOWAY DAVID ; JOHNSON CLAIRE ; Yunyun DAI
Chinese Journal of Nursing 2025;60(18):2185-2191
Objective This study aimed to adapt the data-driven Palliative Care Outcomes Collaboration(PCOC)model to the local context and evaluate its feasibility and preliminary effectiveness in a palliative care unit in China,with the goal of informing its broader integration into national palliative care practice.Methods Based on international experience,a localized implementation protocol for the PCOC model was developed through expert con-sultations and a pilot study.The protocol incorporated key elements including organizational and managerial sup-port,team training and capacity building,information system integration,supervision and feedback mechanisms,pro-cess optimization,and data-driven decision-making.From June to December 2023,the protocol was piloted in the palliative care unit of a tertiary cancer hospital in Changsha,China.Implementation outcomes were assessed by comparing patients' urgent care response rates,symptom stability rates,and symptom improvement rates between the first 1~3 months and 4~6 months after implementation.Results During the study period,a total of 355 inpatients were enrolled,with the PCOC assessment achieving full coverage(100%)and a completion rate of 97.78%.There was no statistically significant difference in the urgent needs response rate between the first 1~3 months and the 4~6 months after the implementation of the PCOC model(P=0.533).However,compared to the first 1~3 months af-ter implementation,patients in the 4~6 months period showed significantly higher symptom stability rates for pain,psychological/spiritual issues,and family/caregiver problems,as well as a higher improvement rate for pain(P<0.05).Conclusion The localized PCOC implementation protocol facilitates standardized assessment and symptom manage-ment,and its application can enhance the quality of palliative care.
2.Adjustment and preliminary application of a data-driven palliative care outcomes collaboration model
Yongyi CHEN ; Junchen GUO ; Jinfeng DING ; Boyong SHEN ; Ying WANG ; Zhiguo ZHOU ; Qinghui ZHANG ; Liqun LI ; Feng LIANG ; HOLLOWAY DAVID ; JOHNSON CLAIRE ; Yunyun DAI
Chinese Journal of Nursing 2025;60(18):2185-2191
Objective This study aimed to adapt the data-driven Palliative Care Outcomes Collaboration(PCOC)model to the local context and evaluate its feasibility and preliminary effectiveness in a palliative care unit in China,with the goal of informing its broader integration into national palliative care practice.Methods Based on international experience,a localized implementation protocol for the PCOC model was developed through expert con-sultations and a pilot study.The protocol incorporated key elements including organizational and managerial sup-port,team training and capacity building,information system integration,supervision and feedback mechanisms,pro-cess optimization,and data-driven decision-making.From June to December 2023,the protocol was piloted in the palliative care unit of a tertiary cancer hospital in Changsha,China.Implementation outcomes were assessed by comparing patients' urgent care response rates,symptom stability rates,and symptom improvement rates between the first 1~3 months and 4~6 months after implementation.Results During the study period,a total of 355 inpatients were enrolled,with the PCOC assessment achieving full coverage(100%)and a completion rate of 97.78%.There was no statistically significant difference in the urgent needs response rate between the first 1~3 months and the 4~6 months after the implementation of the PCOC model(P=0.533).However,compared to the first 1~3 months af-ter implementation,patients in the 4~6 months period showed significantly higher symptom stability rates for pain,psychological/spiritual issues,and family/caregiver problems,as well as a higher improvement rate for pain(P<0.05).Conclusion The localized PCOC implementation protocol facilitates standardized assessment and symptom manage-ment,and its application can enhance the quality of palliative care.

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