Evidence map›Paper›PMID 35925751›Full record

ArticleJMIR formative research2022

An Intervention Offering Self-management Support Through mHealth and Health Coaching to Patients With Prostate Cancer: Interpretive Description of Patients' Experiences and Perspectives.

Louise Faurholt Obro, Palle Jörn Sloth Osther, Jette Ammentorp, Gitte Thybo Pihl, Kasper Kvols Heiselberg, Peter Gall Krogh, Charlotte Handberg

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. A stepped-care approach to self-management: a qualitative study among individuals with cancer and their caregivers using the Coping-Together program.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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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

7 authors.

Louise Faurholt ObroUrological Research Center, Vejle Hospital (Lillebaelt Hospital), University Hospital of Southern Denmark, Vejle, Denmark.ORCID https://orcid.org/0000-0001-5894-9479
Palle Jörn Sloth OstherUrological Research Center, Vejle Hospital (Lillebaelt Hospital), University Hospital of Southern Denmark, Vejle, Denmark.ORCID https://orcid.org/0000-0001-7962-1640
Jette AmmentorpCentre for Research in Patient Communication, Odense University Hospital, Odense, Denmark.ORCID https://orcid.org/0000-0001-6249-9431
Gitte Thybo PihlUCL, Vejle, Denmark.ORCID https://orcid.org/0000-0002-2227-5860
Kasper Kvols HeiselbergUrological Research Center, Vejle Hospital (Lillebaelt Hospital), University Hospital of Southern Denmark, Vejle, Denmark.ORCID https://orcid.org/0000-0002-2839-7551
Peter Gall KroghDepartment of Engineering, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-5207-2423
Charlotte HandbergNational Rehabilitation Center for Neuromuscular Diseases, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-1378-2449

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObservational management strategies such as active surveillance and watchful waiting are considered to be acceptable approaches in patients with low-risk localized prostate cancer and a safe alternative to aggressive treatment. During observational management, treatment is postponed until the disease progresses, which often never occurs. However, approximately 90% of patients with a low-risk disease choose aggressive treatment owing to anxiety. Strategies to address anxiety are needed for optimal management of this population and to improve the quality of life of patients with low-risk localized prostate cancer. A review highlighted that mobile health (mHealth) in tandem with health coaching can support patients' self-management of health behaviors and improve well-being.

objectiveThis study aims to explore patients' experiences with and perspectives on an intervention offering self-management support through the use of mHealth devices and health coaching to identify supportive features that enable patients to perform sustainable changes that improve well-being.

methodsWe used an interpretive description approach, combining semistructured interviews with 13 purposively selected patients with prostate cancer and participant observations of patient-coach interactions in coaching sessions. The interviews were transcribed and analyzed. The self-determination theory was used as a theoretical lens. Field notes and coaching notes from each session were used to orient data generation and confirm or challenge the analysis.

resultsOur analysis suggested that patients' self-awareness and psychological identity influenced their experiences with and perspectives on the self-management support offered by mHealth and health coaching in clinical practice. The patients' individual experiences and perspectives indicated that they placed themselves in a dynamic continuum of sustaining or repressing their identity, self-awareness, and individual qualities. Our analysis revealed 4 interacting themes, all related to the psychological identity of the patients.

conclusionsFor the group of patients with prostate cancer to experience well-being, we found it important for them to sustain their self-image when offered a self-management intervention. Motivation and autonomy were important aspects for the individual patients to sustain their self-image throughout the intervention. In contrast, demotivation and a sense of paternalism could result in fostering an experience of having to repress self-awareness.

Indexed as

coachinghealth coachingmHealthmobile healthmobile phoneprostate cancerself-management

Identifiers

PMID35925751
PMCPMC9501670

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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.