基于互联网大数据的营养支持决策方案在结直肠癌病人围手术期干预中的应用

    Application value of nutritional support decision-making program based on Internet big data in the perioperative intervention of colorectal cancer patients

    • 摘要:
      目的 探究基于互联网大数据的营养支持决策方案在结直肠癌围手术期病人的影响。
      方法 120例结直肠癌病人采用随机数字表法分为对照组(n=60)和观察组(n=60)。对照组实施常规护理,观察组在对照组基础上实施基于互联网大数据的营养支持决策方案。于病人入院当天、干预1周,比较2组病人营养知信行、决策准备度与决策后悔度,并于入院当天、干预1个月,比较2组病人血清学营养指标。
      结果 入院当天,2组营养支持知信行、决策准备度、决策后悔度及血清学营养指标差异均无统计学意义(P>0.05)。干预1周后,观察组营养知信行评分高于对照组,决策准备度评分高于对照组,决策后悔度评分低于对照组(P < 0.05~P < 0.01);干预1个月后,观察组血清血红蛋白、前白蛋白、白蛋白水平均高于对照组(P < 0.05~P < 0.01)。
      结论 基于互联网大数据的营养支持决策方案助于提高病人营养知信行和营养支持决策准备度,降低病人对决策的懊悔程度,改善病人营养水平。

       

      Abstract:
      Objective To explore the impact of nutritional support decision-making program based on Internet big data on perioperative patients with colorectal cancer.
      Methods A total of 120 patients with colorectal cancer were selected as the research subjects.The patients were divided into the control group(n=60) and observation group(n=60) according to the random number table method.The control group received routine care, while the observation group was implemented using a nutritional support decision-making program based on Internet big data on the basis of the control group.On the day of admission and one week after intervention, the nutritional knowledge, attitude and practice, decision readiness and decision regret between two groups were compared.On the day of admission and one month after intervention, the serological nutritional indicators between two groups were compared.
      Results On the day of admission, there was no statistical significance in the knowledge, attitude and practice of nutritional support, decision readiness, decision regret and serological nutritional indicators between two groups(P>0.05).One week after the intervention, the score of nutrition knowledge, attitude and practice in the observation group was higher than that in control group, the score of decision readiness was higher than that in control group, and the score of decision regret was lower than that in control group(P < 0.05 to P < 0.01).One month after the intervention, the levels of serum hemoglobin, prealbumin and albumin in the observation group were higher than those in control group(P < 0.05 to P < 0.01).
      Conclusions The nutritional support decision-making program based on Internet big data is conducive to improving patients′ knowledge, attitude and practice of nutrition and their readiness for nutritional support decision-making, reducing patients′ remorse for decision-making, and improving patients′ nutritional levels.

       

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