Evidence map›Paper›PMID 38717806›Full record

ArticleJMIR aging2024

Tailored Self-Management App to Support Older Adults With Cancer and Multimorbidity: Development and Usability Testing.

Sang-Wha Sien, Francis Kyerepagr Kobekyaa, Martine Puts, Leanne Currie, Margaret Tompson, Penelope Hedges, Joanna McGrenere, Caroline Mariano, Kristen R Haase

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
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

9 authors.

Sang-Wha Sien *Department of Computer Science, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0001-5956-9080
Francis Kyerepagr Kobekyaa *Department of Computer Science, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0003-0927-6751
Martine PutsLawrence S Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-0710-1854
Leanne CurrieSchool of Nursing, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-8232-2809
Margaret TompsonSaskatchewan Center for Patient Oriented Research, Saskatoon, SK, Canada.ORCID 0009-0000-1853-3698
Penelope HedgesBC Cancer, Vancouver, BC, Canada.ORCID 0009-0000-9150-6119
Joanna McGrenereDepartment of Computer Science, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-8411-3293
Caroline MarianoBC Cancer, Vancouver, BC, Canada.ORCID 0009-0004-2133-2685
Kristen R HaaseSchool of Nursing, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-4457-2110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, cancer predominates in adults aged older than 60 years, and 70% of older adults have ≥1 chronic condition. Cancer self-management interventions can improve symptom management and confidence, but few interventions target the complex needs of older adults with cancer and multimorbidity. Despite growing evidence of digital health tools in cancer care, there is a paucity of theoretically grounded digital self-management supports for older adults. Many apps for older adults have not been co-designed with older adults to ensure that they are tailored to their specific needs, which would increase usability and uptake.

objectiveWe aim to report on the user evaluations of a self- and symptom-management app to support older adults living with cancer and multimorbidity.

methodsThis study used Grey's self-management framework, a design thinking approach, and involved older adults with lived experiences of cancer to design a medium-fidelity app prototype. Older adults with cancer or caregivers were recruited through community organizations or support groups to participate in co-designing or evaluations of the app. Data from interviews were iteratively integrated into the design process and analyzed using descriptive statistics and thematic analyses.

resultsIn total, 15 older adults and 3 caregivers (n=18) participated in this study: 10 participated (8 older adults and 2 caregivers) in the design of the low-fidelity prototype, and 10 evaluated (9 older adults and 1 caregiver) the medium-fidelity prototype (2 older adults participated in both phases). Participants emphasized the importance of tracking functions to make sense of information across physical symptoms and psychosocial aspects; a clear display; and the organization of notes and reminders to communicate with care providers. Participants also emphasized the importance of medication initiation or cessation reminders to mitigate concerns related to polypharmacy.

conclusionsThis app has the potential to support the complex health care needs of older adults with cancer, creating a "home base" for symptom management and support. The findings from this study will position the researchers to conduct feasibility testing and real-world implementation.

Indexed as

Mobile ApplicationsMultimorbidityNeoplasmsSelf-ManagementAgedAged, 80 and overCaregiversFemaleHumansMaleMiddle Agedageingagingappapplicationapplicationsappscancerco-designcomorbidcomorbiditiescomorbiditydesigndesign thinkingdevelopdevelopmentelderelderlygeriatricgeriatricsgerontologymHealthmobile healthmultimorbiditiesmultimorbidityolder adultolder adultsolder peopleolder persononcologyself-managementsymptomsymptomsusabilityusability testing

Identifiers

PMID38717806
PMCPMC11112470

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.