Evidence map›Paper›PMID 38649875›Full record

ArticleBMC nursing2024

Old people's preference for nursing homes in East China: a discrete choice experiment.

Yaqin Zhong, Xiaojun Guo, Yitong Liu, Yaning Wang, Yanan Wang, Yan Song, Rujian Lu

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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.

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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

7 authors.

Yaqin Zhong *School of Public Health, Nantong University, Nantong, China.
Xiaojun Guo *School of Science, Nantong University, Nantong, China.
Yitong LiuSchool of Public Health, Nantong University, Nantong, China.
Yaning WangSchool of Public Health, Nantong University, Nantong, China.
Yanan WangSchool of Public Health, Nantong University, Nantong, China.
Yan SongSchool of Nursing, Nantong University, Nantong, China.
Rujian LuThird Affiliated Hospital of Nantong University, Nantong, China. lurujian168@sina.com.

Funding

Funding of Nantong Science and Technology Program MS22022043Humanities and Social Science Foundation of the Ministry of Education in China 21YJA840018Jiangsu Social Science Fund of China 20GLD013National Social Science Foundation 23BSH151
6 · The paper itself

Abstract

backgroundThe aged people who live in nursing home are predicted to keep growing in the following decades. There are both quantitative imbalance and structural imbalance in the utilization of nursing homes in China. This study aimed to analyze old people's preference for nursing homes and help the government optimize resource allocation.

methodsA discrete choice experiment (DCE) was conducted and six attributes of nursing homes including monthly fee, distance from home, geographical location, medical facilities, environment of nursing homes and nursing staff were determined. Respondents were recruited from Nantong and Yangzhou city, China. In each city, two communities or villages were randomly selected. In each community/village, about 65 old people were randomly selected. Analysis was conducted using mixed logit regression models to determine preferences for potential attributes.

resultsA total of 233 old people were included in the analysis. The findings indicated that all six attributes were statistically significant factors for participants. "Professional nursing staff" was the most important characteristic to participants, followed by "Medical facilities". Compared with female, the males preferred professional nursing staff (β = 2.939 vs. β = 2.643, P < 0.001), medical facilities (β = 1.890 vs. β = 1.498, P < 0.001), and the environment (β = 0.752, P < 0.01). For different age groups, participants aged 60-69 didn't pay attention to distance and location, while those aged 80 and above only paid attention to professional nursing staff and medical facilities.

conclusionsThe present study provides important insights into the characteristics of nursing home that are most preferred by old people. Authorities should take into account old people's preference in the planning, design and evaluation of nursing homes.

Indexed as

Discrete choice experimentNursing homesPreferences

Identifiers

PMID38649875
PMCPMC11034096

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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.