大数据平台的延续性护理对青少年抑郁症患者心理及生活质量的影响

The impact of continuous nursing based on big data platforms on the psychology and quality of life of adolescent patients with depression

摘要

目的 探讨基于大数据平台的延续性护理在青少年抑郁症患者中的应用效果,明确其对患者心理状况、生活质量、应对方式及临床结局的改善作用,为临床护理方案优化提供循证依据。方法 选取2022年1月至2024年1月山东省戴庄医院收治的100例青少年抑郁症患者,采用随机数字表法分为对照组与观察组,各50例。对照组实施常规护理,观察组应用基于大数据平台的延续性护理。比较两组干预前及干预12个月后的心理状况[采用贝克抑郁量表(Beck Depression Inventory,BDI)、汉密尔顿焦虑量表(Hamilton Anxiety Scale,HAMA)评估]、生活质量[采用世界卫生组织生活质量量表简表(World Health Organization Quality of Life-BREF,WHOQOL-BREF)评估]、应对方式[采用肖计划编制的应对方式问卷(Coping Style Questionnaire,CSQ)评估]及临床结局(复学率),同时记录两组干预期间的安全性指标。结果 干预12个月后,观察组BDI评分低于对照组,差异有统计学意义(P＜0.05);HAMA评分低于对照组,差异有统计学意义(P＜0.05)。观察组生活质量各领域评分均显著高于对照组(P＜0.05)。应对方式方面,观察组解决问题、求助维度评分显著高于对照组(P＜0.05),退避、自责、幻想、忍耐维度评分显著低于对照组(P＜0.05)。观察组复学率显著高于对照组,差异有统计学意义(P＜0.05)。安全性方面,两组不良事件发生率均为6.0%(3/50),差异无统计学意义(P＞0.05),且无严重不良事件发生。结论 基于大数据平台的延续性护理可有效缓解青少年抑郁症患者的抑郁与焦虑症状,提升生活质量及社会功能,引导积极应对方式,且安全性良好,具备临床推广价值,适合在各级医疗机构应用。

Abstract

Objective To explore the application effect of continuous nursing intervention based on a big data platform in adolescent patients with depression,to clarify its role in improving patients′ psychological status,quality of life,coping styles and clinical outcomes,and to provide evidence-based support for the optimization of clinical nursing programs. Methods A total of 100 adolescent patients with depression admitted to Shandong Daizhuang Hospital from January 2022 to January 2024 were selected and divided into a control group and an observation group using a random number table method,with 50 cases in each group.The control group received routine nursing care, while the observation group received continuous nursing intervention based on a big data platform.The psychological status [evaluated by Beck Depression Inventory (BDI) and Hamilton Anxiety Scale (HAMA)], quality of life [evaluated by World Health Organization Quality of Life-BREF (WHOQOL-BREF)], coping styles [evaluated by Coping Style Questionnaire (CSQ)] and clinical outcomes (educational re-engagement rate) were compared between the two groups before intervention and 12 months after intervention.Meanwhile,the safety indicators of the two groups during the intervention period were recorded. Results Following a 12-month intervention period,the observation group demonstrated significantly lower BDI scores compared with the control group (P＜0.05).Similarly,HAMA scores exhibited a statistically significant reduction in the intervention group (P＜0.05).Quality of life measurements showed superior outcomes across all domains for the intervention group (P＜0.05).Regarding coping mechanisms,the observation group scored higher in problem-solving and help-seeking behaviors (P＜0.05),while displaying lower scores in avoidance,self-blame,fantasy,and tolerance strategies (P＜0.05).Educational re-engagement rates were significantly greater in the intervention group (P＜0.05).Safety outcomes showed comparable adverse event rates (6.0% in both groups,3/50 cases) without statistical significance (P＞0.05),with no severe complications reported in either cohort. Conclusion Continuous nursing intervention based on a big data platform can effectively alleviate depressive and anxiety symptoms in adolescent patients with depression,improve their quality of life and social functions,guide positive coping styles,and has good safety.It has clinical promotion value and is suitable for application in medical institutions at all levels.

关键词

大数据平台 / 延续性护理 / 青少年抑郁症 / 生活质量 / 应对方式

Key words

Big data platform / Continuous nursing / Adolescent depression / Quality of life / Coping style

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基金资助

济宁市重点研发计划(2025YXNS117)