ArticleBMJ open2023
Assessing a nurse-assisted eHealth intervention posthospital discharge in adult patients with non-communicable diseases: a protocol for a feasibility study.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Nurse-Assisted Remote Patient Monitoring for Self-Management Support to Patients With Long-Term Illness-A Qualitative Multimethod Study.Journal of advanced nursing · 2025Article
- Use of the chronic illness research recruitment taxonomy to evaluate recruitment strategies in an eHealth feasibility study.Contemporary clinical trials communications · 2025Article
- Acceptability and usability of a nurse-assisted remote patient monitoring intervention for the post-hospital follow-up of patients with long-term illness: A qualitative study.International journal of nursing studies advances · 2024Article
- Evaluation of the nurse-assisted eHealth intervention 'eHealth@Hospital-2-Home' on self-care by patients with heart failure and colorectal cancer post-hospital discharge: protocol for a randomised controlled trial.BMC health services research · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionA growing number of patients with non-communicable diseases (NCDs), such as heart failure (HF) and colorectal cancer (CRC), are prone to comorbidity, a high rate of readmissions and complex healthcare needs. An eHealth intervention, however, could potentially ameliorate the increasing burdens associated with NCDs by helping to smoothen patient transition from hospital to home and by reducing the number of readmissions. This feasibility study therefore aims to assess the feasibility of a nurse-assisted eHealth intervention posthospital discharge among patients with HF and CRC, while also examining the preliminary clinical and behavioural outcomes of the intervention before initiating a full-scale randomised controlled trial. The recruitment ended in January 2023. METHODS AND ANALYSIS: Twenty adult patients with HF and 10 adult patients with CRC will be recruited from two university hospitals in Norway. Six hospital-based nurse navigators (NNs) will offer support during the transition phase from hospital to home by using a solution for digital remote care, Dignio Connected Care. The patients will use the MyDignio application uploaded to an iPad for 30 days postdischarge. The interactions between patients and NNs will then be assessed through direct observation and qualitative interviews in line with a think-aloud protocol. Following the intervention, semistructured interviews will be used to explore patients' experiences of eHealth support and NNs' experiences of eHealth delivery. The feasibility testing will also comprise a post-test of the Post-System Usability Questionnaire and pretesting of patient-reported outcomes questionnaires, as well as an inspection of user data collected from the software. ETHICS AND DISSEMINATION: The study has been approved by the Norwegian Centre for Research Data (ID.NO: 523386). All participation is based on informed, written consent. The results of the study will be published in open-access, peer-reviewed journals and presented at international and national scientific conferences and meetings.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.