Evidence map›Paper›PMID 37933244›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2023

Effects of Adherence to an mHealth Tool for Self-Management of COPD Exacerbations.

Erik W M A Bischoff, Nikki Ariens, Lonneke Boer, Jan Vercoulen, Reinier P Akkermans, Lisette van den Bemt, Tjard R Schermer

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2023. 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. Analysis of Current Status and Influencing Factors of Inhaler Treatment Adherence Among COPD Patients.International journal of chronic obstructive pulmonary disease · 2026
    Article
  3. Article
  4. Article
  5. Personalizing Self-Management Interventions in COPD - Looking Beyond One-Size-Fits-All.International journal of chronic obstructive pulmonary disease · 2025
    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

7 authors.

Erik W M A BischoffRadboud Institute for Health Sciences, Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands.ORCID 0000-0002-3323-8475
Nikki AriensRadboud Institute for Health Sciences, Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands.
Lonneke BoerRadboud Institute for Health Sciences, Department of Clinical Psychology, Radboud University Medical Center, Nijmegen, the Netherlands.ORCID 0000-0001-7903-9503
Jan VercoulenRadboud Institute for Health Sciences, Department of Clinical Psychology, Radboud University Medical Center, Nijmegen, the Netherlands.
Reinier P AkkermansRadboud Institute for Health Sciences, Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands.
Lisette van den BemtRadboud Institute for Health Sciences, Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands.
Tjard R SchermerRadboud Institute for Health Sciences, Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Poor adherence to COPD mobile health (mHealth) has been reported, but its association with exacerbation-related outcomes is unknown. We explored the effects of mHealth adherence on exacerbation-free weeks and self-management behavior. We also explored differences in self-efficacy and stages of grief between adherent and non-adherent COPD patients. Patients and Methods: We conducted secondary analyses using data from a recent randomized controlled trial (RCT) that compared the effects of mHealth (intervention) with a paper action plan (comparator) for COPD exacerbation self-management. We used data from the intervention group only to assess differences in exacerbation-free weeks (primary outcome) between patients who were adherent and non-adherent to the mHealth tool. We also assessed differences in the type and timing of self-management actions and scores on self-efficacy and stages of grief (secondary outcomes). We used generalized negative binomial regression analyses with correction for follow-up length to analyze exacerbation-free weeks and multilevel logistic regression analyses with correction for clustering for secondary outcomes. Results: We included data of 38 patients of whom 13 (34.2%) (mean (SD) age 69.2 (11.2) years) were adherent and 25 (65.8%) (mean (SD) age 68.7 (7.8) years) were non-adherent. Adherent patients did not differ from non-adherent patients in exacerbation-free weeks (mean (SD) 31.5 (14.5) versus 33.5 (10.2); p=0.63). Although statistically not significant, adherent patients increased their bronchodilator use more often and more timely, contacted a healthcare professional and/or initiated prednisolone and/or antibiotics more often, and showed at baseline higher scores of self-efficacy and disease acceptance and lower scores of denial, resistance, and sorrow, compared with non-adherent patients. Conclusion: Adherence to mHealth may be positively associated with COPD exacerbation self-management behavior, self-efficacy and disease acceptance, but its association with exacerbation-free weeks remains unclear. Our results should be interpreted with caution by this pilot study's explorative nature and small sample size.

Indexed as

Pulmonary Disease, Chronic ObstructiveSelf-ManagementTelemedicineAgedHumansMiddle AgedQuality of LifeRandomized Controlled Trials as TopicadherenceCOPDexacerbationsgriefmHealthself-efficacyself-management

Identifiers

PMID37933244
PMCPMC10625742

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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.