Yiping Chen1,2, Liyuan Hou1,2, Xianhui Zhang1,2, Yifei Du1,2, Xiaoqing Zhang1,2, Min Li1,2, Chaoyue Gao1,2, Hui Yang3,4,5. 1. School of Nursing, Shanxi Medical University, No. 56, Xinjian South Road, Yingze District, Taiyuan City, Shanxi Province, China. 2. Department of Palliative and Hospice Care, School of Nursing, Shanxi Medical University, Taiyuan City, Shanxi Province, China. 3. School of Nursing, Shanxi Medical University, No. 56, Xinjian South Road, Yingze District, Taiyuan City, Shanxi Province, China. d17835154117@126.com. 4. Department of Palliative and Hospice Care, School of Nursing, Shanxi Medical University, Taiyuan City, Shanxi Province, China. d17835154117@126.com. 5. First Hospital of Shanxi Medical University, Taiyuan City, Shanxi Province, China. d17835154117@126.com.
Abstract
BACKGROUND AND AIMS: Advance care planning (ACP) might assist older cancer patients in expressing their goals, values, and care preferences; yet, the ACP uptake rates in this group are low. The goal of this study is to discover factors that influence ACP uptake in older cancer adults and to construct a model that integrates these factors. METHODS: Using Arksey and O' Malley's methodology, we systematically searched seven electronic databases of ACP literature in older cancer adults from inception to March 2022. To identify factors linked to ACP uptake in elderly cancer patients, researchers used a pre-piloted extraction form. There were two phases to the thematic analysis of the labeled factors. First, factors were grouped into one of three categories using a directed content analysis approach: patient context, provider context, or mechanism. Second, we took both a deductive and inductive thematic approach to identifying and coding contributing factors in each category to identify themes and subthemes. Deductive coding was undertaken using the Andersen's Behavioral Model of Health Services Utilization. Finally, results were visualized into a conceptual model. RESULTS: In the including 37 articles, 131 factors were extracted. Thematic analysis of patient context factors (n = 72) showed that ACP uptake in older cancer adults is associated with predisposing characteristics, enabling resources and need. Factors attributed to provider context (n = 28) concerned predisposing characteristics and enabling resources. Mechanism factors (n = 31) are related to perceived value and patient trust, and the C-ACP uptake model was created. CONCLUSION: ACP uptake in older cancer patients is commonly influenced by patient-provider-related contextual factors, and highlights the fact that ACP uptake is more likely to be mediated through both perceived value and patient trust. This review serves as a resource for providers exploring ACP implementation options in older cancer adults.
BACKGROUND AND AIMS: Advance care planning (ACP) might assist older cancer patients in expressing their goals, values, and care preferences; yet, the ACP uptake rates in this group are low. The goal of this study is to discover factors that influence ACP uptake in older cancer adults and to construct a model that integrates these factors. METHODS: Using Arksey and O' Malley's methodology, we systematically searched seven electronic databases of ACP literature in older cancer adults from inception to March 2022. To identify factors linked to ACP uptake in elderly cancer patients, researchers used a pre-piloted extraction form. There were two phases to the thematic analysis of the labeled factors. First, factors were grouped into one of three categories using a directed content analysis approach: patient context, provider context, or mechanism. Second, we took both a deductive and inductive thematic approach to identifying and coding contributing factors in each category to identify themes and subthemes. Deductive coding was undertaken using the Andersen's Behavioral Model of Health Services Utilization. Finally, results were visualized into a conceptual model. RESULTS: In the including 37 articles, 131 factors were extracted. Thematic analysis of patient context factors (n = 72) showed that ACP uptake in older cancer adults is associated with predisposing characteristics, enabling resources and need. Factors attributed to provider context (n = 28) concerned predisposing characteristics and enabling resources. Mechanism factors (n = 31) are related to perceived value and patient trust, and the C-ACP uptake model was created. CONCLUSION: ACP uptake in older cancer patients is commonly influenced by patient-provider-related contextual factors, and highlights the fact that ACP uptake is more likely to be mediated through both perceived value and patient trust. This review serves as a resource for providers exploring ACP implementation options in older cancer adults.
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