Evidence map›Paper›PMID 33213398›Full record

ArticleBMC nephrology2020

Development and evaluation of an eHealth self-management intervention for patients with chronic kidney disease in China: protocol for a mixed-method hybrid type 2 trial.

Hongxia Shen, Rianne van der Kleij, Paul J M van der Boog, Xiaoyue Song, Wenjiao Wang, Tongtong Zhang, Zhengyan Li, Xiaoping Lou, Niels Chavannes

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04212923 (eHealth Based Self-management Intervention for Chronic Kidney Disease Care in China), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04212923 nacompletednot on this mapstarted 2024, after this paper: background citation

eHealth Based Self-management Intervention for Chronic Kidney Disease Care in China

TypeinterventionalSponsorLeiden University Medical CenterRan2024 to 2026Enrolled20ConditionsChronic Kidney DiseasesArmsMedical Dashboard based self-management intervention
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hongxia ShenDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, Netherlands. H.Shen@lumc.nl.ORCID 0000-0002-0601-4708
Rianne van der KleijDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, Netherlands.
Paul J M van der BoogDepartment of Nephrology, Leiden University Medical Centre, Leiden, Netherlands.
Xiaoyue SongDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, Netherlands.
Wenjiao WangDepartment of Nursing, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Tongtong ZhangDepartment of Nursing, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Zhengyan LiDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Xiaoping LouDepartment of Nursing, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Niels ChavannesDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, Netherlands.

Funding

China Scholarship Council 201707040096
6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is a significant public health concern. In patients with CKD, interventions that support disease self-management have shown to improve health status and quality of life. At the moment, the use of electronic health (eHealth) technology in self-management interventions is becoming more and more popular. Evidence suggests that eHealth-based self-management interventions can improve health-related outcomes of patients with CKD. However, knowledge of the implementation and effectiveness of such interventions in general, and in China in specific, is still limited. This study protocol aims to develop and tailor the evidence-based Dutch 'Medical Dashboard' eHealth self-management intervention for patients suffering from CKD in China and evaluate its implementation process and effectiveness.

methodsTo develop and tailor a Medical Dashboard intervention for the Chinese context, we will use an Intervention Mapping (IM) approach. A literature review and mixed-method study will first be conducted to examine the needs, beliefs, perceptions of patients with CKD and care providers towards disease (self-management) and eHealth (self-management) interventions (IM step 1). Based on the results of step 1, we will specify outcomes, performance objectives, and determinants, select theory-based methods and practical strategies. Knowledge obtained from prior results and insights from stakeholders will be combined to tailor the core interventions components of the 'Medical Dashboard' self-management intervention to the Chinese context (IM step 2-5). Then, an intervention and implementation plan will be developed. Finally, a 9-month hybrid type 2 trial design will be employed to investigate the effectiveness of the intervention using a cluster randomized controlled trial with two parallel arms, and the implementation integrity (fidelity) and determinants of implementation (IM step 6). DISCUSSION: Our study will result in the delivery of a culturally tailored, standardized eHealth self-management intervention for patients with CKD in China, which has the potential to optimize patients' self-management skills and improve health status and quality of life. Moreover, it will inform future research on the tailoring and translation of evidence-based eHealth self-management interventions in various contexts.

trial registrationClinicaltrials.gov NCT04212923 ; Registered December 30, 2019.

Indexed as

Self-ManagementTelemedicineUser-Computer InterfaceChinaData DisplayHumansRenal Insufficiency, ChronicResearch DesignChinaChronic kidney diseaseeHealthHybrid designImplementationSelf-management

Identifiers

PMID33213398
PMCPMC7678219

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.