{"title":"The application of decision tree analysis based on nursing vertical management in the allocation of obstetrics and gynecology nurses.","authors":"Xia Wu, Yu Liu","doi":"10.4314/ahs.v25i2.29","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methodology: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":94295,"journal":{"name":"African health sciences","volume":"25 2","pages":"241-249"},"PeriodicalIF":0.9000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12361932/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"African health sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/ahs.v25i2.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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.
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