Evidence map›Paper›PMID 33675582›Full record

ArticleNursing open2021

Study protocol: A cross-sectional study on instrumental support for transitional care among older adults with chronic diseases.

Jianing Hua, Xiaoliu Shi, Min Cui, Yuhua Xiao, Juan Xie, Guiling Geng

Open access · goldAbstract read
In one paragraph

Article in Nursing open, 2021. 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
0.3field-weighted citation impact, top 43% of its field
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, 2 citations in OpenAlex.

  1. Article
  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

6 authors at 1 institution in 1 country.

Jianing HuaSchool of Medical, Nantong University, Nantong, China.ORCID 0000-0002-0691-0764
Xiaoliu ShiSchool of Medical, Nantong University, Nantong, China.ORCID 0000-0001-9877-3973
Min CuiSchool of Medical, Nantong University, Nantong, China.ORCID 0000-0002-5405-8780
Yuhua XiaoDepartment of Medical Rehabilitation, The Second People's Hospital of Nantong, Nantong, China.
Juan XieDepartment of Information Management, The Affiliated Hospital of Nantong University, Nantong, China.
Guiling GengSchool of Medical, Nantong University, Nantong, China.
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsIn this paper, we present a study aiming to develop a questionnaire on instrumental support for transitional care as a tool for investigating services, staff, equipment and supplies, and funds of transitional care and conduct a cross-sectional study on the current instrumental support for transitional care in older adults with chronic diseases.

designA cross-sectional study combining instrumental support with transitional care through a mixed-method approach.

methodsData are collected through two sources: distribution of the questionnaire to older adults with chronic diseases and interviews with experts from different specialties such as nursing, clinical medicine, geriatrics, sociology and government.

resultsThe developed questionnaire and expert interviews will be used to investigate the current instrumental support for transitional care among older adults with chronic diseases in China. These findings can help leaders identify areas for improvement in transitional care and contribute to the long-term positive development of transitional care.

Indexed as

Transitional CareAgedChinaChronic DiseaseCross-Sectional StudiesHumansSurveys and Questionnaireschronic diseasecross-sectional studyinstrumental supportmixed-method designolder adultsquestionnairetransitional care

Identifiers

PMID33675582
PMCPMC8186703
OpenAlexW3134451335

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.