Effectiveness of a clinical decision support algorithm (ePOCT+) in improving quality of care for sick children in primary health facilities in Tanzania (DYNAMIC project): results from a cluster randomized trial

IF 4.8 2区 医学 Q1 INFECTIOUS DISEASES
Dr Caroline Enos , Godfrey A. Kavishe , Alexandra V. Kulinkina , Sabine Renggli , Chacha D. Mangu , Lameck Luwanda , Peter Agrea , Humphrey Mhagama , Margaret Joram , Ibrahim Mtebene , Geofrey Isdory Ashery , Marie-Annick Le Pogam , Honorati Masanja , Nyanda E. Ntinginya , Valérie D'Acremont , Rainer Tan
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引用次数: 0

Abstract

Introduction

The Integrated Management of Childhood Illness (IMCI) chartbook for managing sick children under five years improves quality of care and reduces childhood mortality. However, compliance to IMCI remains a challenge. Electronic clinical decision support algorithms (eCDSAs) are a promising solution to improve IMCI compliance. We performed a cross-sectional study to evaluate whether an eCDSA based on IMCI improves quality of care compared to usual care in Tanzanian primary health facilities.

Methods

18 health facilities (9 intervention and 9 control, randomized 1:1) were sampled from the main cluster randomized trial. Children aged 2-59 months with an acute illness were enrolled and consultations were observed by an independent researcher. The intervention consists of the use of an electronic point of care tool (ePOCT+) and clinical mentorship. The primary outcome measure was the mean score of major IMCI symptoms and signs assessed.

Results

450 consultations (225 in each arm) were observed. The mean score of major IMCI symptoms and signs was 42% (95% CI: 39% - 44%) in intervention facilities and 23% (95% CI: 22% - 25%) in control facilities (p<0.001). The use of ePOCT+ significantly increased the proportion of assessment of convulsions (33% vs 7%) and nutrition status assessment (60% vs 2%) compared to routine care clusters (p<0.001). There were however no significant differences between the intervention and control arms for other measures such as fever assessment (91% vs 87%; p=0.148) and height measurement (1.3% vs 0.4%; p=0.315).

Discussion

Clinical skills and adherence to the guidelines among healthcare workers are among the major challenges in primary healthcare facilities. ePOCT+ CDSA improves adherence to IMCI, quality of clinical assessment and disease management by Improving history taking, prompting and guiding healthcare workers to assess the danger signs and improving the quality of physical examination. ePOCT+ CDSA can be an invaluable tool to improve the quality of care, clinical outcome and reduce mortality in resource-limited settings.

Conclusion

ePOCT+ significantly improves quality of care for sick children in primary health facilities in Tanzania.
临床决策支持算法(ePOCT+)在改善坦桑尼亚初级卫生机构患病儿童护理质量方面的有效性(DYNAMIC项目):来自一项聚类随机试验的结果
用于管理五岁以下患病儿童的儿童疾病综合管理(IMCI)图表手册提高了护理质量并降低了儿童死亡率。然而,遵守儿童疾病综合管理仍然是一项挑战。电子临床决策支持算法(ecdsa)是提高IMCI依从性的一个有前途的解决方案。我们进行了一项横断面研究,以评估与坦桑尼亚初级卫生机构的常规护理相比,基于儿童疾病综合管理的eCDSA是否能提高护理质量。方法从主群随机试验中抽取18家卫生机构(干预9家,对照9家,按1:1随机分组)。患有急性疾病的2-59个月的儿童被招募,并由独立研究人员观察咨询情况。干预包括使用电子护理点工具(ePOCT+)和临床指导。主要结局指标是评估的主要IMCI症状和体征的平均得分。结果共随访450例(每组225例)。在干预设施中,主要IMCI症状和体征的平均得分为42% (95% CI: 39% - 44%),在对照设施中为23% (95% CI: 22% - 25%) (p<0.001)。与常规护理组相比,eppoct +的使用显著增加了惊厥评估(33%对7%)和营养状况评估(60%对2%)的比例(p<0.001)。然而,干预组和对照组在发热评估等其他指标上没有显著差异(91%对87%;P =0.148)和身高测量(1.3% vs 0.4%;p = 0.315)。初级卫生保健机构面临的主要挑战是卫生保健工作者的临床技能和对指南的遵守情况。eppoct + CDSA通过改善病史记录、提示和指导医护人员评估危险体征和提高体检质量,提高了IMCI的依从性、临床评估质量和疾病管理。在资源有限的情况下,eppoct + CDSA可以成为提高护理质量、临床结果和降低死亡率的宝贵工具。结论:eppoct +显著提高了坦桑尼亚初级卫生机构对患病儿童的护理质量。
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来源期刊
CiteScore
18.90
自引率
2.40%
发文量
1020
审稿时长
30 days
期刊介绍: International Journal of Infectious Diseases (IJID) Publisher: International Society for Infectious Diseases Publication Frequency: Monthly Type: Peer-reviewed, Open Access Scope: Publishes original clinical and laboratory-based research. Reports clinical trials, reviews, and some case reports. Focuses on epidemiology, clinical diagnosis, treatment, and control of infectious diseases. Emphasizes diseases common in under-resourced countries.
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