Evidence map›Paper›PMID 36834305›Full record

ArticleInternational journal of environmental research and public health2023

Designing Mobile Health Applications to Support Walking for Older Adults.

Yasmin Felberbaum, Joel Lanir, Patrice L Weiss

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Yasmin FelberbaumInformation Systems Department, University of Haifa, Mt. Carmel, Haifa 3498838, Israel.
Joel LanirInformation Systems Department, University of Haifa, Mt. Carmel, Haifa 3498838, Israel.ORCID 0000-0002-9838-5142
Patrice L WeissThe Helmsley Pediatric & Adolescent Rehabilitation Research Center, ALYN Hospital, Jerusalem 9109002, Israel.ORCID 0000-0001-5633-1210
University of Haifa · ILAlyn Hospital · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical activity is extremely important at an older age and has major benefits. There is a range of applications that help maintain physical activity. However, their adoption among older adults is still limited. The purpose of the study is to explore the key aspects of the design of mobile applications that support walking for older adults. We conducted a field study with older adults, aged 69-79 years, using a technology probe (a mobile application developed as an early prototype) with the purpose of eliciting requirements for mobile health applications. We interviewed the participants during and after the study period, asking them about their motivation for walking, usage of the application, and overall preferences when using such technologies. The findings suggest that mobile applications that support walking should address a range of walking variables, support a long-term learning process, and enable the user to take control and responsibility for the walk. In addition, we provide design guidelines concerning the motivation for walking and the data visualization that would make technology adoption easier. The findings from this study can be used to inform the design of more usable products for older users.

Indexed as

Mobile ApplicationsTelemedicineAgedExerciseHumansMotivationWalkingfield studymobile health applicationsolder adultsphysical activity

Identifiers

PMID36834305
PMCPMC9964114
OpenAlexW4321374730

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.