Evidence map›Paper›PMID 41191794›Full record

ArticleJMIR nursing2025

An Internet Hospital Plus Home Nursing Model for Chronic Disease Patients: Mixed-Methods Study in Tianjin, China.

Yuzhe Wang, Yingchun Liu, Ziqi Jin, Chunjie Jin, Fang Hu, Tianzhi Yu

Abstract read
In one paragraph

Article in JMIR nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

6 authors.

Yuzhe Wang *School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, China.ORCID 0009-0003-1480-2055
Yingchun Liu *School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, China.ORCID 0009-0007-1431-4042
Ziqi Jin *Healthcare Security Department, Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin, China.ORCID 0009-0007-2413-7983
Chunjie JinInformation Department, Internet Hospital, Tianjin Medical University General Hospital, No. 154 Anshan Rd, Heping District, Tianjin, 300052, China, 86 022-60362218, 86 022-60361370.ORCID 0000-0002-0392-4618
Fang HuInformation Department, Internet Hospital, Tianjin Medical University General Hospital, No. 154 Anshan Rd, Heping District, Tianjin, 300052, China, 86 022-60362218, 86 022-60361370.ORCID 0009-0000-1870-9999
Tianzhi YuInformation Department, Internet Hospital, Tianjin Medical University General Hospital, No. 154 Anshan Rd, Heping District, Tianjin, 300052, China, 86 022-60362218, 86 022-60361370.ORCID 0000-0003-4194-2638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet hospitals and "Internet + nursing services" represent emerging medical and nursing models in China. These platforms integrate online systems with offline care to extend services beyond traditional hospital settings. With the rapid expansion of internet hospitals, a new model-internet hospital plus home nursing-has developed. However, research on its implementation and effectiveness remains limited. Objective: This study evaluates the implementation of the internet hospital plus home nursing model by analyzing workload, patient satisfaction, and nurses' perceptions, aiming to provide a strategic reference for its further development. Methods: Data from 2459 patients who used internet hospital plus home nursing services were collected from a hospital database. The frequency of applications and service timeliness were analyzed using χ2 tests. Patient diagnoses, service types, and geographic distribution were summarized using frequency tables and visualization techniques. A simulation approach, along with the Mann-Whitney U test, was used to compare the costs of transferring patients to hospitals versus providing home nursing. Multiple linear regression identified factors associated with cost differences. Patient satisfaction across different stages was compared using a U test, and nurses' attitudes were assessed via a questionnaire. Results: The majority of patients were aged 60 years and older (2120/2459, 86.2%). A significant difference in application frequency was observed across age groups (χ²4=29.86; P<.001). Oncology patients were the most common users (1468/7415, 19.8%) and intravenous blood collection was the most frequent service (4899/7415, 66.1%). Most patients resided within 6 regions near the physical hospital (2119/2459, 86.2%). All patients received services within 2 days of appointment, with waiting times significantly influenced by appointment timing (χ²1 = 290.88; P<.001). Cost distributions varied significantly by gender, age, service frequency, distance, and service type (all P<.001), with service type and distance identified as key cost determinants (P<.001). Patient satisfaction was consistently high across periods, with no significant difference (Mann-Whitney U=5,090,149; P=.38). Nurses expressed positive perceptions of the model. Conclusions: The internet hospital plus home nursing model effectively combines online diagnosis with in-home care, creating a closed-loop service that improves accessibility-particularly for older adults and mobility-impaired patients. Pilot implementations in Tianjin demonstrated benefits in convenience, accessibility, and cost-effectiveness, alongside high patient satisfaction and nursing staff approval. Given the aging population, this model holds significant potential for broader adoption. To ensure sustainable development, enhanced safety mechanisms and policy support are recommended. As an integrated health care model with Chinese characteristics, it also offers valuable insights for the global digital health sector.

Indexed as

Home Care ServicesHome NursingInternetAdultAgedAged, 80 and overChinaChronic DiseaseFemaleHumansMaleMiddle AgedPatient SatisfactionSurveys and Questionnaireseffectivenesshome nursinginternet hospitalsmixed-methodsservices

Identifiers

PMID41191794
PMCPMC12588391

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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.