Evidence map›Paper›PMID 32706697›Full record

ArticleJMIR mHealth and uHealth2020

Perceptions of Patients Regarding Mobile Health Interventions for the Management of Chronic Obstructive Pulmonary Disease: Mixed Methods Study.

Meshari F Alwashmi, Beverly Fitzpatrick, Jamie Farrell, John-Michael Gamble, Erin Davis, Hai Van Nguyen, Gerard Farrell, John Hawboldt

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
2.8field-weighted citation impact, top 7% of its field
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

22 citing papers in PubMed, 4 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
  4. Chronic Obstructive Pulmonary Disease Patients' Acceptance in E-Health Clinical Trials.International journal of environmental research and public health · 2021
    Pooled it
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  13. Directing smartphone use through the self-nudge app one sec.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Effects of Adherence to an mHealth Tool for Self-Management of COPD Exacerbations.International journal of chronic obstructive pulmonary disease · 2023
    Article
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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

8 authors at 2 institutions in 1 country.

Meshari F AlwashmiMemorial University of Newfoundland and Labrador, St. John's, NL, Canada.ORCID 0000-0001-5052-5911
Beverly FitzpatrickMemorial University of Newfoundland and Labrador, St. John's, NL, Canada.ORCID 0000-0003-4798-7976
Jamie FarrellMemorial University of Newfoundland and Labrador, St. John's, NL, Canada.ORCID 0000-0002-1719-8477
John-Michael GambleSchool of Pharmacy, Faculty of Science, University of Waterloo, Waterloo, ON, Canada.ORCID 0000-0001-6891-8721
Erin DavisMemorial University of Newfoundland and Labrador, St. John's, NL, Canada.ORCID 0000-0002-4925-1447
Hai Van NguyenMemorial University of Newfoundland and Labrador, St. John's, NL, Canada.ORCID 0000-0002-2578-170X
Gerard FarrellMemorial University of Newfoundland and Labrador, St. John's, NL, Canada.ORCID 0000-0002-4911-520X
John HawboldtMemorial University of Newfoundland and Labrador, St. John's, NL, Canada.ORCID 0000-0002-5219-5538
Memorial University of Newfoundland · CAUniversity of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing a mobile health (mHealth) intervention consisting of a smartphone and compatible medical device has the potential to enhance chronic obstructive pulmonary disease (COPD) treatment outcomes while mitigating health care costs.

objectiveThis study aims to describe the demographics, use, and access to smartphones of patients with COPD. It also aims to explore and develop an understanding of potential facilitators and barriers that might influence patients using mHealth interventions for COPD management.

methodsThis was an explanatory, sequential mixed methods study. Patients who attended respirology clinics completed a questionnaire on technology access and use. We conducted semistructured individual interviews with the patients. Interview topics included the following: demographics, mHealth use, perceptions toward challenges of mHealth adoption, factors facilitating mHealth adoption, and preferences regarding features of mHealth interventions for COPD management.

resultsA total of 100 adults completed the survey but 22 participants were excluded because they were not diagnosed with COPD. Of these, 10 patients with COPD participated in the interview. The quantitative component revealed that many patients with COPD owned a mobile phone, but only about one-fourth of the participants (18/77, 23%) owned a smartphone. The likelihood of owning a smartphone was not associated with age, sex, marital status, or geographical location, but patients with high educational status were more likely to own a smartphone. The qualitative component found that patients with COPD, in general, had a positive attitude toward mHealth adoption for COPD management, but several facilitators and barriers were identified. The main facilitators of mHealth adoption are possible health benefits for patients, ease of use, educating patients, and credibility. Alternatively, the barriers to adoption are technical issues, lack of awareness, potential limited uptake from older adults, privacy and confidentiality issues, finances, and lack of interest in mHealth.

conclusionsIt is important to understand the perceptions of patients with COPD regarding the adoption of innovative mHealth interventions for COPD management. This study identifies some potential facilitators and barriers that may inform the successful development and implementation of mHealth interventions for COPD management.

Indexed as

Pulmonary Disease, Chronic ObstructiveTelemedicineAgedCell PhoneFemaleHumansMalePerceptionSmartphoneCOPDhealth technologymhealthmobile phonesmartphone

Identifiers

PMID32706697
PMCPMC7413289
OpenAlexW3035413507

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.