Evidence map›Paper›PMID 32410730›Full record

ArticleJMIR human factors2020

Recommendations for Developing Support Tools With People Suffering From Chronic Obstructive Pulmonary Disease: Co-Design and Pilot Testing of a Mobile Health Prototype.

Alan Davies, Julia Mueller, Jean Hennings, Ann-Louise Caress, Caroline Jay

Abstract read
In one paragraph

Article in JMIR human factors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Use of Ecological Momentary Assessment to Measure Dyspnea in COPD.International journal of chronic obstructive pulmonary disease · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. 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

5 authors.

Alan Davies *School of Health Sciences, University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0001-5737-5629
Julia Mueller *School of Health Sciences, University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0002-4939-7112
Jean Hennings *School of Health Sciences, University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0001-8771-1398
Ann-Louise Caress *School of Human and Health Sciences, University of Huddersfield, Huddersfield, United Kingdom.ORCID https://orcid.org/0000-0002-2237-8253
Caroline Jay *Department of Computer Science, University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0002-6080-1382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGaps exist between developers, commissioners, and end users in terms of the perceived desirability of different features and functionalities of mobile apps.

objectiveThe objective of this study was to co-design a prototype mobile app for people with chronic obstructive pulmonary disease (COPD). We present lessons learned and recommendations from working on a large project with various stakeholders to develop a mobile app for patients with COPD.

methodsWe adopted a user-centered, participatory approach to app development. Following a series of focus groups and interviews to capture requirements, we developed a prototype app designed to enable daily symptom recording (experience sampling). The prototype was tested in a usability study applying the think aloud protocol with people with COPD. It was then released via the Android app store, and experience sampling data and event data were captured to gather further usability data.

resultsA total of 5 people with COPD participated in the pilot study. Identified themes include familiarity with technology, appropriate levels for feeding back information, and usability issues such as manual dexterity. Moreover, 37 participants used the app over a 4-month period (median age 47 years). The symptoms most correlated to perceived well-being were tiredness (r=0.61; P<.001) and breathlessness (r=0.59; P<.001).

conclusionsDesign implications for COPD apps include the need for clearly labeled features (rather than relying on colors or symbols that require experience using smartphones), providing weather information, and using the same terminology as health care professionals (rather than simply lay terms). Target users, researchers, and developers should be involved at every stage of app development, using an iterative approach to build a prototype app, which should then be tested in controlled settings as well as in the wild (ie, when deployed and used in real-world settings) over longer periods.

Indexed as

app designchronic obstructive pulmonary diseaseecological momentary assessmentmHealthmobile phone

Identifiers

PMID32410730
PMCPMC7260664

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.