Evidence map›Paper›PMID 27267889›Full record

ArticleBMC medical informatics and decision making2016

Post-discharge stroke patients' information needs as input to proposing patient-centred eHealth services.

Nadia Davoody, Sabine Koch, Ingvar Krakau, Maria Hägglund

Registry-linked trialAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05185271 (Adopting Dyad-focused Strategy Training to Stroke Survivors and Their Caregivers), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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.

NCT05185271 nacompletednot on this mapstarted 2021, after this paper: background citation

Adopting Dyad-focused Strategy Training to Stroke Survivors and Their Caregivers: Intervention Development and a Feasibility Study

TypeinterventionalSponsorTaipei Medical UniversityRan2021 to 2023Enrolled16ConditionsStrokeArmsDyad-focused strategy training
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Unmet Needs of Community-Dwelling Stroke Survivors: A Systematic Review of Qualitative Studies.International journal of environmental research and public health · 2021
    Pooled it
  2. Trial
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  5. Stroke Caregiver Needs in a Population-Based Study.Journal of the American Heart Association · 2025
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  8. Feasibility, Fidelity and Acceptability of a Person-Centred Care Transition Support Intervention for Stroke Survivors: A Non-Randomised Controlled Study.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  9. Article
  10. Exploring different stroke populations' information needs: a cross-sectional study in England.Archives of public health = Archives belges de sante publique · 2024
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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

4 authors.

Nadia DavoodyDepartment of Learning, Informatics, Management and Ethics, Health Informatics Centre, Karolinska Institutet, Tomtebodavägen 18 A, 171 77, Stockholm, Sweden. nadia.davoody@ki.se.
Sabine KochDepartment of Learning, Informatics, Management and Ethics, Health Informatics Centre, Karolinska Institutet, Tomtebodavägen 18 A, 171 77, Stockholm, Sweden.
Ingvar KrakauDepartment of Medicine, Karolinska Institutet, Solnavägen 1, 171 77, Stockholm, Sweden.
Maria HägglundDepartment of Learning, Informatics, Management and Ethics, Health Informatics Centre, Karolinska Institutet, Tomtebodavägen 18 A, 171 77, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the potential of eHealth services to revolutionize the way healthcare and prevention is provided many applications developed for patients fail to deliver their promise. Therefore, the aim of this study is to use patient journey mapping to explore post-discharge stroke patients' information needs to propose eHealth services that meet their needs throughout their care and rehabilitation processes.

methodsThree focus groups with younger (<65 years) and older (> = 65 years) stroke patients were performed. Content analysis was used to analyse the data. Stroke patients' information needs was explored using patient journey model.

resultsFour main events (discharge from hospital, discharge from rehab clinic, coming home, and clinical encounters) and two phases (at rehab clinic, at home) have been identified in patients' post-discharge journey. The main categories identified in this study indicate that patients not only need to have access to health related information about their care and rehabilitation processes but also practical guidance through healthcare and community services. Patients also have different information needs at different events and during different phases. Potential supportive eHealth services were suggested by the researchers considering different parts of the patients' journeys.

conclusionsPatient journey models and qualitative analysis of patients' information needs are powerful tools that can be used to improve healthcare from a patient perspective. As patients' understanding of their illness changes over time, their need of more flexible support throughout the care and rehabilitation processes increases. To design appropriate eHealth services that meet patients' information needs, it is imperative to understand the current care and rehabilitation processes and identify patients' information needs throughout their journey.

Indexed as

AgedAged, 80 and overFemaleHealth Services Needs and DemandHumansMaleMiddle AgedPatient-Centered CarePatient DischargeStrokeStroke RehabilitationTelemedicineeHealth servicesHealth information systemInformation and communication technologyPatient experiencePatient journeyRehabilitationStroke

Identifiers

PMID27267889
PMCPMC4895891

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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.