Efficacy of a WeChat-Based, Multidisciplinary, Full-Course Nutritional Management Program on the Nutritional Status of Patients With Ovarian Cancer Undergoing Chemotherapy: Randomized Controlled Trial.

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2024-11-04 DOI:10.2196/56475
Xiaojuan Tian, Yan Liu, Jiahua Zhang, Lixiao Yang, Linyao Feng, Aidong Qi, Hanjiazi Liu, Pengju Liu, Ying Li
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Abstract

Background: As the most malignant type of cancer in the female reproductive system, ovarian cancer (OC) has become the second leading cause of death among Chinese women. Chemotherapy is the main treatment for patients with OC, and its numerous adverse effects can easily lead to malnutrition. It is difficult to centrally manage patients with OC in the intervals between chemotherapy. The use of WeChat, an effective mobile tool, in chronic disease management has been highlighted.

Objective: This study aimed to implement a continuous follow-up strategy and health monitoring based on the WeChat platform for patients with OC undergoing chemotherapy to ensure that each phase of chemotherapy was delivered on schedule and to improve the survival rate of patients with OC.

Methods: Participants were recruited and randomly assigned to either the WeChat-based nutrition intervention group or the usual care group. A self-administered general information questionnaire was used at enrollment to obtain basic information about the patients. The Patient-Generated Subjective Global Assessment (PG-SGA) Scale was used to investigate the nutritional status of the patients at 3 time points (T0=before the first admission to the hospital for chemotherapy, T1=2 weeks after the first chemotherapy, and T6=2 weeks after the sixth chemotherapy). The blood indices of patients were investigated through the inhospital health care system at 3 times(T0=before the first admission to the hospital for chemotherapy, T1=2 weeks after the first chemotherapy, and T6=2 weeks after the sixth chemotherapy). Patients in the intervention group were introduced to the nutrition applet, invited to join the nutrition management group chat, and allowed to consult on nutritional issues in private chats with nutrition management team members. Linear mixed models were used to analyze changes in each nutritional indicator in the 2 groups, with their baseline measurements as covariates; with group, time, and group-time interactions considered as fixed effects; and with patients considered as random effects.

Results: A total of 96 patients with OC undergoing chemotherapy were recruited into the study. Distribution was based on a 1:1 ratio, with 48 patients each in the nutrition intervention group and the usual care group. The attrition rate after the first chemotherapy session was 18.75%. The mixed linear model revealed that the group-based effect and the group-time interaction effect on PG-SGA scores were significant (F38,38=4.763, P=.03; F37,37=6.368, P=.01), whereas the time-based effect on PG-SGA scores was not (F38,38=0.377; P=.54). The findings indicated that the group-based effect, the time-based effect, and the group-time interaction effect on nutrition-inflammation composite indices were significant (F38,38=7.653, P=.006; F38,38=13.309, P<.001; F37,37=92.304, P<.001; F37,38=110.675, P<.001; F38,38=10.379, P=.002; and F37,37=5.289, P=.02).

Conclusions: This study provided evidence that a WeChat-based, multidisciplinary, full-course nutritional management program can significantly improve the nutritional status of patients with OC during chemotherapy.

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基于微信的多学科全疗程营养管理项目对卵巢癌化疗患者营养状况的影响:随机对照试验
背景:卵巢癌是女性生殖系统恶性程度最高的癌症,已成为中国女性第二大死因。化疗是卵巢癌患者的主要治疗手段,而化疗的诸多不良反应很容易导致患者营养不良。化疗间歇期很难对卵巢癌患者进行集中管理。微信作为一种有效的移动工具,在慢性病管理中的应用已备受关注:本研究旨在对接受化疗的 OC 患者实施基于微信平台的持续随访策略和健康监测,以确保每期化疗如期进行,提高 OC 患者的生存率:方法:招募参与者并随机分配至微信营养干预组或常规护理组。入组时采用自填式一般信息调查问卷来获取患者的基本信息。采用患者自编主观全面评估量表(PG-SGA)调查患者在3个时间点(T0=首次入院化疗前,T1=首次化疗后2周,T6=第六次化疗后2周)的营养状况。在三个时间点(T0=首次入院化疗前,T1=首次化疗后两周,T6=第六次化疗后两周),通过院内医疗系统对患者的血液指标进行调查。向干预组患者介绍营养小程序,邀请他们加入营养管理群聊,并允许他们与营养管理小组成员进行私聊,就营养问题进行咨询。采用线性混合模型分析两组患者各项营养指标的变化,将基线测量值作为协变量;将组别、时间和组别-时间交互作用作为固定效应;将患者作为随机效应:研究共招募了96名正在接受化疗的OC患者。按 1:1 的比例分配,营养干预组和常规护理组各 48 名患者。第一次化疗后的流失率为 18.75%。混合线性模型显示,PG-SGA 评分的分组效应和分组-时间交互效应显著(F38,38=4.763,P=.03;F37,37=6.368,P=.01),而PG-SGA 评分的时间效应不显著(F38,38=0.377;P=.54)。研究结果表明,营养-炎症综合指数的群体效应、时间效应和群体-时间交互效应均显著(F38,38=7.653,P=.006;F38,38=13.309,PC结论:本研究提供的证据表明,基于微信的多学科全病程营养管理方案可显著改善OC患者化疗期间的营养状况。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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