Evidence map›Paper›PMID 35465410›Full record

ArticleJournal of patient experience2022

Comparison of Nurses' and Patients' Readiness for Hospital Discharge: A Multicenter Study.

Parisa Mehraeen, Fateme Jafaraghaee, Ezzat Paryad, Ehsan Kazemnejad Leyli

Abstract read
In one paragraph

Article in Journal of patient experience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. From Overload to Understanding: How Caregivers Experience and Use Information in Dementia Counselling.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2026
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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

4 authors.

Parisa MehraeenSchool of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran.
Fateme JafaraghaeeSchool of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran.ORCID https://orcid.org/0000-0001-8479-6832
Ezzat ParyadInstructor of Medical Surgical Nursing, College of Nursing and Midwifery, Guilan University of medical sciences, Rasht, Iran.
Ehsan Kazemnejad LeyliDepartment of Biostatistics, Social Determinants of Health Research Center (SDHRC), School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decision to discharge is often based solely on clinical criteria but readiness for discharge is multifactorial and perceived differently by patients, families, nurses, and physicians. This is an analytical cross-sectional study aimed to compare perceptions of readiness to discharge 452 patients and their assigned nurses on the day of hospital discharge. To compare perceptions of readiness to discharge patients and their assigned nurses on the day of hospital discharge via readiness for hospital discharge (RHD) self-reported questionnaire. The biggest difference between nurses and patients' perception scores was in the knowledge subscale. The results of linear regression model showed that patients' gender, education, occupation, ward, nurse's age, and marital status predict the difference between nurses and patients' perception of readiness. Hospitalization in ear, nose, and throat (ENT) department with increasing difference and the older age of nurses is associated with a decrease in the difference between the perception. Assessment of nurse's self-readiness can help with the development of care and education planning tailored to patients' needs before discharge.

Indexed as

dischargehospitalizationnursepatient teaching

Identifiers

PMID35465410
PMCPMC9021514

What OpenQuestion holds

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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.