Evidence map›Paper›PMID 40993578›Full record

ArticleBMC public health2025

Navigating preferences for a trouble-free transition: a grounded theory study among older residents in nursing homes.

Zhuojun Ye, Youyang Tang, Hangqi Chen, Jiying Yang, Haoyu Zhang, Ruize Zhu, Xueying Li, Huiyun Yuan, Jiangjiang He, Limei Jing

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Zhuojun Ye *School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Rd, Huangpu District, Shanghai, 200025, People's Republic of China.
Youyang Tang *School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Rd, Huangpu District, Shanghai, 200025, People's Republic of China.
Hangqi ChenSchool of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Jiying YangSchool of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Haoyu ZhangSchool of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Ruize ZhuSchool of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Xueying LiSchool of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Huiyun YuanSchool of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Rd, Huangpu District, Shanghai, 200025, People's Republic of China. yuanhuiyun@hotmail.com.
Jiangjiang HeShanghai Health Development Research Center, Shanghai, People's Republic of China. hejiangjiang@shdrc.org.
Limei JingSchool of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Rd, Huangpu District, Shanghai, 200025, People's Republic of China. limei_jing@sjtu.edu.cn.ORCID http://orcid.org/0000-0003-0752-116X

Funding

China Medical Board Open Competition Program 20-386National Social Science Fund of China 24BRK020
6 · The paper itself

Abstract

backgroundWith rising demand for hospice and palliative care nursing (HPCN) in nursing homes (NHs) worldwide, understanding older residents' HPCN preferences has become increasingly crucial. Given the diversity of these preferences across cultural and institutional contexts, a context-specific understanding is essential to developing services truly meet individual needs. Existing research mainly focuses on specific end-of-life aspects and lacks integrative frameworks to explain how broader HPCN preferences are shaped. This study aims to explore how older residents form their HPCN preferences within the interplay of Chinese cultural values and institutional environments and develop a theoretical framework explicating this formation process.

methodsUsing a grounded theory approach with purposive and theoretical sampling, 20 participants were selected from 5 NHs across urban and suburban areas. Data collection involved in-depth, semi-structured face-to-face interviews conducted between October 2021 and January 2022, with concurrent analysis based on Corbin and Strauss's method.

resultsThe analysis identified two contextual conditions shaping residents' preferences for HPCN: cultural context and NH environment. These conditions created cognitive and emotional challenges, categorized into limited understanding of HPCN and psychosocial disconnection. Consequently, residents expressed four main preferences: physical and emotional comfort, supporting relationality, collaborative decision-making, and continuity of care. A bidirectional relationship emerged, wherein challenges influenced preferences, and meeting these preferences helped mitigate challenges. Ultimately, the core concept of "navigating preferences for a trouble-free transition" emerged, capturing the varied and evolving preferences of older residents seeking care that minimizes burdens on both themselves and their families.

conclusionThis study developed a theory on how contextual conditions and residents' cognitive and emotional challenges shape HPCN preferences. It highlights the diversity, variability, and individuality of these preferences, underscoring the need to enhance cultural sensitivity and care environments in Chinese NHs and comparable settings.

Indexed as

Hospice CareNursing HomesPalliative CarePatient PreferenceAgedAged, 80 and overChinaFemaleGrounded TheoryHumansInterviews as TopicMaleQualitative ResearchGrounded theoryHospice and palliative care nursingNursing homesOlder residentsQualitative research

Identifiers

PMID40993578
PMCPMC12462029

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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.