Suppr超能文献

通过WhatsApp协调的自我管理教育计划对糖尿病控制的影响。

The impact of a self-management educational program coordinated through WhatsApp on diabetes control.

作者信息

Omar Muaed Al, Hasan Sanah, Palaian Subish, Mahameed Shrouq

机构信息

PhD. Associate Professor. Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University. Ajman (United Arab Emirates).

MSc. Research Assistant. Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University. Ajman (United Arab Emirates).

出版信息

Pharm Pract (Granada). 2020 Apr-Jun;18(2):1841. doi: 10.18549/PharmPract.2020.2.1841. Epub 2020 May 3.

Abstract

BACKGROUND

Social media can effectively mediate digital health interventions and thus, overcome barriers associated with face-to-face interaction.

OBJECTIVE

To assess the impact of patient-centered diabetes education program administered through WhatsApp on glycosylated hemoglobin (HbA1c) values, assess the correlation, if any, between health literacy and numeracy on intervention outcomes.

METHODS

During an 'intervention phase' spread over six months, target diabetic patients (N=109) received structured education through WhatsApp as per the American Association of Diabetes Educators Self-Care Behaviors recommendations. The control group with an equal number of participants received 'usual care' provided by health professionals void of the social media intervention. Changes in HbA1c levels were recorded thrice (at baseline, 3 and 6 months) for the test group and twice (baseline and 6 months) for the control group. Change in HbA1c values were compared and statistical significance was defined at p<0.05. Baseline health literacy and diabetes numeracy were assessed for both groups (N=218) using the Literacy Assessment for Diabetes (LAD), and the Diabetes Numeracy Test (DNT), respectively, and values were correlated with HbA1c change p<0.05. Participants' satisfaction with the intervention was also assessed.

RESULTS

The average age of respondents was 41.98 (SD 15.05) years, with a diabetes history of 10.2 (SD 8.5) years. At baseline, the average HbA1c in the control and test groups were 8.4 (SD 1.06) and 8.5 (SD 1.29), respectively. After six months, a significant drop in HbA1c value was noticed in intervention group (7.7; SD 1.35; p= 0.001); with no significance in the control group (8.4; SD 1.32; p=0.032, paired t-test). Moreover, the reduction in HbA1c was more in the test group (0.7%) than the control group (0.1%) with a difference of 0.6% which is considered clinically significant. There was no significant correlation between LAD score and HbA1c at baseline (r=-0.203, p=0.064), 3 months (r=-0.123, p=0.266) and 6 months (r=-0.106, p= 0.337) Pearson correlation. A similar result was observed with DNT, where DNT score and HbA1c at baseline, 3 months and 6 months showed no correlation (r=0.112, 0.959 and 0.886; respectively) with HbA1c levels. Eighty percent of the respondents found the social media intervention 'beneficial' and suggested it be used long term.

CONCLUSIONS

Diabetes education via WhatsApp showed promising outcomes regardless of the level of patients' health literacy or numeracy.

摘要

背景

社交媒体可以有效地调节数字健康干预措施,从而克服与面对面互动相关的障碍。

目的

评估通过WhatsApp实施的以患者为中心的糖尿病教育计划对糖化血红蛋白(HbA1c)值的影响,评估健康素养和数字运算能力与干预结果之间的相关性(如有)。

方法

在为期六个月的“干预阶段”,目标糖尿病患者(N = 109)按照美国糖尿病教育者协会自我护理行为建议,通过WhatsApp接受结构化教育。对照组有同等数量的参与者,接受健康专业人员提供的“常规护理”,不进行社交媒体干预。测试组在基线、3个月和6个月时三次记录HbA1c水平变化,对照组在基线和6个月时两次记录。比较HbA1c值的变化,p<0.05定义为具有统计学意义。两组(N = 218)分别使用糖尿病素养评估(LAD)和糖尿病数字运算测试(DNT)评估基线健康素养和糖尿病数字运算能力,其值与HbA1c变化进行相关性分析,p<0.05。还评估了参与者对干预的满意度。

结果

受访者的平均年龄为41.98(标准差15.05)岁,糖尿病病史为10.2(标准差8.5)年。基线时,对照组和测试组的平均HbA1c分别为8.4(标准差1.06)和8.5(标准差1.29)。六个月后,干预组的HbA1c值显著下降(7.7;标准差1.35;p = 0.001);对照组无显著变化(8.4;标准差1.32;p = 0.032,配对t检验)。此外,测试组的HbA1c降低幅度(0.7%)大于对照组(0.1%),差值为0.6%,被认为具有临床意义。基线时(r = -0.203,p = 0.064)、3个月时(r = -0.123,p = 0.266)和6个月时(r = -0.106,p = 0.337),LAD评分与HbA1c之间无显著相关性(Pearson相关性分析)。DNT也得到类似结果,基线、3个月和6个月时DNT评分与HbA1c水平均无相关性(分别为r = 0.112、0.959和0.886)。80%的受访者认为社交媒体干预“有益”,并建议长期使用。

结论

无论患者的健康素养或数字运算能力水平如何,通过WhatsApp进行糖尿病教育都显示出良好的效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/564d/7243744/ab65f59dfdf5/pharmpract-18-1841-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验