Evidence map›Paper›PMID 39707295›Full record

ArticleBMC palliative care2024

Acceptance of advance care planning and influencing factors from the perspective of the life cycle: a cross-sectional study.

Yujie Wu, Shifei Wu, Chong Liang, Yuan Luo, Xiaonan Sun, Xinyue Zhang, Yuqian Deng, Yibo Wu, Miao He

Abstract read
In one paragraph

Article in BMC palliative care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yujie Wu *School of Medical, Xi'an Siyuan University, No.28 Shuian Road, Baqiao District, Xi'an, Shaanxi Province, 710038, China.
Shifei Wu *Center for Endemic Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China.
Chong LiangSchool of Medical, Xi'an Siyuan University, No.28 Shuian Road, Baqiao District, Xi'an, Shaanxi Province, 710038, China.
Yuan LuoSchool of Nursing, Capital Medical University, No.10 Xitoutiao, Youanmenwai, Fentai District, Beijing, 10069, China.
Xiaonan SunSchool of Public Health, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China.
Xinyue ZhangPeking Union Medical College, Chinese Academy of Medical Sciences, No.9 Dongdan Santiao, Dongcheng District, Beijing, 100730, China.
Yuqian DengXiangya School of Nursing, Central South University, No.172 Tongzipo Road, Yuelu District, Changsha, Hunan Province, 410013, China.
Yibo WuSchool of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China. bjmuwuyibo@outlook.com.
Miao HeSchool of Humanities and Social Science, Harbin Medical University, No.157 Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China. hemiao767@163.com.

Funding

General Project of Humanities and Social Sciences Research of the Ministry of Education 23YJA840006Natural Science Foundation of Shaanxi Provincial Department of Education 23JK0615Xi'an Siyuan University Campus level Scientific Research Project XASYYB-B2307
6 · The paper itself

Abstract

backgroundAdvance care planning is an important part of palliative care. Public acceptance is a prerequisite for the widespread development and implementation of advance care planning. However, little is known about the level of public's acceptance and influencing factors of advance care planning across different life cycles.

methodsA cross-sectional study in mainland China was conducted from June 20 to August 31, 2022. We used multi-stage sampling strategy to recruit participators. A stepwise linear regression analysis was used to examine the influencing factors in different life cycles (nonage, mature age, middle age and old age).

resultsThe final sample size was 18,002. The average acceptance score of advance care planning of the public throughout the entire life cycle was 64.03. The average score in nonage was 67.13, which is the highest. The average score in mature age was 63.87, in middle age was 63.51, and in old age was 63.54. Multiple linear stepwise regression results indicated that death education support level, well-being index, neighbor relations, health literacy, family social status, and siblings were influencing factors in nonage. Medical insurance, injury events, multiple properties, death education support level, health literacy, family social status, neighbor relation, social support, family health, media contact, and well-being index were influencing factors in mature age. In middle age, region, living alone, depression, debt, houses, death education support level, health literacy, social support, and family social status were influencing factors. In old age, injury event, death education support level, neighbor relation, well-being index, siblings and children were influencing factors.

conclusionsThis study is the first to compare the Chinese people with different life cycles. It found that the public's acceptance and influencing factors of advance care planning varied across different life cycles. Governments and health care personnel should emphasize autonomy and initiate advance care planning based on different life cycles and individual approaches, then introduce appropriate public health policies into newer and broader fields.

Indexed as

Advance Care PlanningAdolescentAdultAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareSurveys and QuestionnairesYoung AdultAcceptanceAdvance care planningChinaCross-sectional studyLife cycle

Identifiers

PMID39707295
PMCPMC11662760

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.