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| 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 care via big data platforms on the psychology and quality of life of adolescents with depression |
| 投稿时间：2025-10-06 修订日期：2026-01-04 |
| DOI： |
| 中文关键词: 大数据平台;延续性护理;青少年抑郁症;心理状况;生活质量;应对方式 |
| 英文关键词: Big Data Platform; Continuous Nursing; Adolescent Depression; Psychological Status; Quality of Life; Coping Style |
| 基金项目: |
| 作者 | 单位 | 邮编 | | 任燕飞* | 山东省戴庄医院 | 272029 | | 张亚楠 | 山东省戴庄医院 | |
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| 中文摘要: |
| 目的 探讨基于大数据平台的延续性护理干预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干预。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、自杀念头消除率),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(18.79±2.45)分较对照组(28.36±3.72)分降低 9.57 分(降幅 33.7%),差异有统计学意义(t=12.343,P＜0.05)；HAMA 评分(15.28±1.98)分较对照组(22.34±2.89)分降低 7.06 分(降幅 31.6%),差异有统计学意义(t=13.215,P＜0.05)。临床症状分级显示,观察组 82%(41/50)患者 BDI 降至 “轻度抑郁及以下”(≤19 分),对照组仅 36%(18/50)；观察组无 “重度焦虑”(HAMA≥22 分)患者,对照组仍有 14%(7/50)。观察组生活质量各领域评分均显著高于对照组(P＜0.05),其中生理领域评分提升 7.31 分,患者平均睡眠时长从(5.2±1.1)小时增至(7.5±0.8)小时,每日活动步数从(2800±520)步增至(5600±680)步,均符合《中国青少年健康生活方式指南(2023)》推荐标准(睡眠 7-9 小时 / 天,每日活动≥5000 步)。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(t=9.873、12.344,P＜0.05),退避、自责、幻想、忍耐维度评分显著低于对照组(t=12.126、9.568、9.239、9.874,P＜0.05)。观察组复学率(92.7%,38/41)显著高于对照组(55.6%,10/18),差异有统计学意义(校正 χ2=8.63,P＜0.05)；自杀念头消除率(100%)高于对照组(90%),差异有统计学意义(χ2=4.76,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(χ2=0.00,P=1.00),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干预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。 |
| 英文摘要: |
| Objective: To explore the application effect of continuous nursing intervention based on a big data platform in adolescent patients with depression, clarify its role in improving patients" psychological status, quality of life, coping styles and clinical outcomes, and provide evidence-based support for optimizing 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 was given continuous nursing intervention based on a big data platform. The psychological status (evaluated by Beck Depression Inventory, BDI; 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 compiled by Xiao Jihua, CSQ), clinical outcomes (school return rate, elimination rate of suicidal ideation) and safety indicators during intervention were compared between the two groups before intervention and 12 months after intervention. Results: Twelve months after the intervention, the BDI score of the observation group (18.79±2.45) was 9.57 points lower than that of the control group (28.36±3.72) (a decrease of 33.7%), with a statistically significant difference (t=12.343, P＜0.05); the HAMA score (15.28±1.98) was 7.06 points lower than that of the control group (22.34±2.89) (a decrease of 31.6%), with a statistically significant difference (t=13.215, P＜0.05). Clinical symptom classification showed that 82% (41/50) of patients in the observation group had BDI reduced to "mild depression or below" (≤19 points), compared with only 36% (18/50) in the control group; there were no patients with "severe anxiety" (HAMA≥22 points) in the observation group, while 14% (7/50) remained in the control group. The scores of all dimensions of quality of life in the observation group were significantly higher than those in the control group (P＜0.05), among which the score of the physical domain increased by 7.31 points. The average sleep duration of patients increased from (5.2±1.1) hours to (7.5±0.8) hours, and the daily activity steps increased from (2800±520) steps to (5600±680) steps, both meeting the health standards for adolescents recommended in the "Guidelines for Healthy Lifestyles of Chinese Adolescents (2023)" (7-9 hours of sleep per day, ≥5000 daily activities). In terms of coping styles, the scores of problem-solving and help-seeking dimensions in the observation group were significantly higher than those in the control group (t=9.873, 12.344, P＜0.05), while the scores of avoidance, self-blame, fantasy, and endurance dimensions were significantly lower than those in the control group (t=12.126, 9.568, 9.239, 9.874, P＜0.05). The school return rate of the observation group (92.7%, 38/41) was significantly higher than that of the control group (55.6%, 10/18), with a statistically significant difference (adjusted χ2=8.63, P＜0.05); the elimination rate of suicidal ideation (100%) was higher than that of the control group (90%), with a statistically significant difference (χ2=4.76, P＜0.05). In terms of safety, the incidence of adverse events in both groups was 6.0% (3/50), with no statistically significant difference (χ2=0.00, P=1.00), and no serious adverse events occurred. 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. |
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