Evidence map›Paper›PMID 41048897›Full record

ArticleFrontiers in psychiatry2025

Analysis of the integration of medical and nursing care and its association with depression and anxiety among medical staff in the Jinhua area.

An Sheng, TaoTao Yu, YanLi Yu, MengDi Zhang, Ye Zeng, Ling Ye

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 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. 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.

An ShengDepartment of Geriatirics, Fifth Hospital of Jinhua City, Jinhua, Zhejiang, China.
TaoTao YuDepartment of Geriatirics, Fifth Hospital of Jinhua City, Jinhua, Zhejiang, China.
YanLi YuDepartment of Geriatirics, Fifth Hospital of Jinhua City, Jinhua, Zhejiang, China.
MengDi ZhangDepartment of Geriatirics, Fifth Hospital of Jinhua City, Jinhua, Zhejiang, China.
Ye ZengDepartment of Geriatirics, Fifth Hospital of Jinhua City, Jinhua, Zhejiang, China.
Ling YeDepartment of Geriatirics, Fifth Hospital of Jinhua City, Jinhua, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the relationship between implementation of the medical-nursing care integration model and the psychological health (depression and anxiety) of medical staff in the Jinhua area. Methods: A total of 1,022 elderly patients and 182 medical staff from four institutions in Jinhua were surveyed. Patient information, service utilization, and medical costs were collected, while staff familiarity with the Patient-Driven Payment Model (PDPM) and their mental health were assessed using the PHQ-9, GAD-7, and SCL-90 scales. Statistical analyses were conducted to explore associations between PDPM familiarity and psychological outcomes. Results: Most medical staff reported high familiarity with PDPM and successful adaptation to the integrated model. Despite this, nearly 10% of staff experienced symptoms of depression and 8% reported anxiety. Statistical analysis indicated that higher PDPM familiarity was significantly associated with lower rates of depression, anxiety, and overall psychological distress. Conclusion: The integration of medical and nursing care in Jinhua appears to improve not only the efficiency of elderly services but also supports the mental health of medical staff. However, psychological risks remain, highlighting the need for integrated care models to embed ongoing mental health support mechanisms for healthcare professionals.

Indexed as

anxietydepressionintegration of medical and nursing careJinhua areamedical institutionsmedical staff

Identifiers

PMID41048897
PMCPMC12491032

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.