ArticleAfrican health sciences2025
The application of decision tree analysis based on nursing vertical management in the allocation of obstetrics and gynecology nurses.
Article in African health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Innovations and African Health Sciences: telling it beyond our environs.African health sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Addressing nursing resource challenges in obstetrics and gynecology, this study employs decision tree analysis within nursing vertical management to enhance allocation efficiency and patient care. This study aimed to assess the efficacy of employing decision tree analysis within nursing vertical management for allocating obstetrics and gynecology nurses. Methodology: Sixty-one obstetrics and gynecology nurses were included in the study from January to December 2022 at our hospital. The control group, from January to June 2022, underwent routine nurse allocation management, while the observation group, from July to December 2022, experienced nurse allocation based on nursing vertical management using decision tree analysis. Nursing quality scores and satisfaction with allocation were statistically compared between the groups. Additionally, obstetrics and gynecology nursing level, illness matching rate, nursing quality scores, and patient satisfaction were evaluated. Results: The observation group showed significantly higher nursing quality scores and greater satisfaction with allocation compared to the control group. Moreover, the observation group exhibited higher obstetrics and gynecology nursing levels, illness matching rates, nursing quality scores, and patient satisfaction compared to the control group, all with statistical significance (P<0.05). Conclusions: Implementing the decision tree analysis method within nursing vertical management notably enhanced both satisfaction levels and the quality of care among obstetrics and gynecology nurses. It outperformed traditional deployment management, ensuring improved nursing work quality and heightened patient satisfaction. This approach is pivotal for fostering harmonious nurse-patient relationships and deserves widespread adoption.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.