Evidence map›Paper›PMID 39654654›Full record

ArticleJournal of patient experience2024

Patient Engagement in a Hybrid Care Pathway for Hypertension: Not One Size Fits All.

Job van Steenkiste, Iris Verberk-Jonkers, Stéphanie de Koning, Joyce Voss-de Haan, Bianca de Jong-Verhagen, Daan Dohmen

Abstract read
In one paragraph

Article in Journal of patient experience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  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

6 authors.

Job van SteenkisteFaculty of Management Sciences, Open University, Heerlen, the Netherlands.ORCID https://orcid.org/0000-0002-5062-5397
Iris Verberk-JonkersDepartment of Internal Medicine, Maasstad Hospital, Rotterdam, the Netherlands.
Stéphanie de KoningDepartment of Internal Medicine, Maasstad Hospital, Rotterdam, the Netherlands.
Joyce Voss-de HaanDepartment of Internal Medicine, Maasstad Hospital, Rotterdam, the Netherlands.
Bianca de Jong-VerhagenFaculty of Management Sciences, Open University, Heerlen, the Netherlands.
Daan DohmenFaculty of Management Sciences, Open University, Heerlen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated current experiences and future needs for the long-term engagement of patients in a hypertension hybrid care pathway (Maasstad Hospital, NL). Patients >18 y/o with ≥3 months care pathway participation were recruited by telephone and divided into three age/focus groups with distinct digital skills and attitudes toward lifestyle interventions (group 1:18-40 y/o, group 2:40-65 y/o, group 3:>65 y/o). We used deductive thematic content analysis to cluster the results to the different digital elements (remote monitoring, communication, digital lifestyle intervention) of the care pathway. Fifteen patients were interviewed in March 2023 (Group 1;2;3, 3;6;6 participants). The care pathway improved disease insight, engagement, and shared decision capabilities in all groups. For further improved adherence and engagement, all patients indicated the need to incorporate a more personalized approach and interaction with their healthcare provider. In addition, the oldest group preferred simplification of the telemonitoring application, while the other groups preferred enrichment with more complex information. To ensure optimal engagement, digital elements in hybrid care pathways should be personalized and tailored to individual as well as to age-specific needs.

Indexed as

digital caredigital lifestyle interventionhybrid care pathwayshypertensionpatient engagement

Identifiers

PMID39654654
PMCPMC11626661

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.