Implementation of a novel computer assisted telephone follow-up model for older patients after emergency department discharge in an Asian population.

Background: While the impact of telephone follow-up (TFU) for older emergency department (ED) patients is controversial, its effects on the Asian population remain uncertain. In this study, we evaluated the effectiveness of a novel computer assisted TFU model specifically for this demographic. Metho...

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Publicado en:Aging Clinical & Experimental Research Vol. 36; no. 1; pp. 1 - 9
Autores principales: Lee, Yen-Chiang, Yu-Chieh Ho, Sam, Tan, Tian-Hoe, Ho, Chung-Han, Tsai, Kang-Ting, Yang, Pei-Chi, Hsu, Chien-Chin, Lin, Hung-Jung, Wang, Chia-Ti, Huang, Chien-Cheng
Formato: algorithm research tables/charts Journal Article
Publicado: Springer Nature 7/18/2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 7/18/2024
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s40520-024-02796-6
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        atl: Implementation of a novel computer assisted telephone follow-up model for older patients after emergency department discharge in an Asian population.
      aug:
        au:
          Lee, Yen-Chiang
          Yu-Chieh Ho, Sam
          Tan, Tian-Hoe
          Ho, Chung-Han
          Tsai, Kang-Ting
          Yang, Pei-Chi
          Hsu, Chien-Chin
          Lin, Hung-Jung
          Wang, Chia-Ti
          Huang, Chien-Cheng
        affil: https://ror.org/02y2htg06 Department of Emergency Medicine, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, 710, Tainan City, Taiwan
      sug:
        subj:
          Emergency Service Taiwan
          Patient Discharge
          After Care
          Telephone
          Outcomes (Health Care)
          Human
          Male
          Female
          Middle Age
          Aged
          Aged, 80 and Over
          Funding Source
          Theory Construction
          Asians
          Internet-Based Intervention
          Tertiary Health Care
          Taiwan
          Taiwanese Persons
          Case Management
          Comparative Studies
          Multiple Logistic Regression
          Odds Ratio
          Confidence Intervals
          Summated Rating Scaling
          Descriptive Statistics
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: Background: While the impact of telephone follow-up (TFU) for older emergency department (ED) patients is controversial, its effects on the Asian population remain uncertain. In this study, we evaluated the effectiveness of a novel computer assisted TFU model specifically for this demographic. Methods: At a Taiwanese tertiary medical center, we developed a TFU protocol that included a referral and case management system within the ED hospital information system. We provided TFU to older discharged patients between April 1, 2021, and May 31, 2021. We compared this cohort with a non-TFU cohort of older ED patients and analyzed demographic characteristics and post-ED discharge outcomes. Results: The TFU model was successfully implemented, with 395 patients receiving TFU and 191 without TFU. TFU patients (median age: 76 years, male proportion: 48.9%) differed from non-TFU patients (median age: 74 years, male proportion: 43.5%). Compared with the non-TFU cohort, the multivariate logistic regression analysis revealed that the TFU cohort had a lower total medical expenditure < 1 month (adjusted odds ratio [AOR]: 0.32; 95% CI: 0.21 − 0.47 for amounts exceeding 5,000 New Taiwan Dollars), and higher satisfaction (AOR: 2.80; 95% CI: 1.46 − 5.36 for scores > 3 on a five-point Likert Scale). However, the TFU cohort also had a higher risk of hospitalization < 1 month (AOR: 2.50; 95% CI: 1.31 − 4.77) compared to the non-TFU cohort. Conclusion: Computer-assisted TFU appears promising. Further research involving a larger number of patients and validation in other hospitals is necessary to bolster the evidence and extend the findings to a broader context.
      pubtype: Academic Journal
      doctype:
        algorithm
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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