Evidence map›Paper›PMID 36339229›Full record

ReviewFrontiers in public health2022

Designing and applying technology for prevention-Lessons learned in AEQUIPA and its implications for future research and practice.

Jochen Meyer, Tiara Ratz, Alexander Pauls, Sandra Hellmers, Susanne Boll, Sebastian Fudickar, Andreas Hein, Jürgen M Bauer, Frauke Koppelin, Sonia Lippke and 5 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

15 authors at 8 institutions in 1 country.

Jochen MeyerOFFIS - Institute for Information Technology, Oldenburg, Germany.
Tiara RatzJacobs University Bremen, Bremen, Germany.
Alexander PaulsSection Technology and Health for Humans, Jade University of Applied Sciences Wilhelmshaven/Oldenburg/Elsfleth, Oldenburg, Germany.
Sandra HellmersDepartment of Health Services Research, Assistance Systems and Medical Device Technology, Carl von Ossietzky University, Oldenburg, Germany.
Susanne BollOFFIS - Institute for Information Technology, Oldenburg, Germany.
Sebastian FudickarDepartment of Health Services Research, Assistance Systems and Medical Device Technology, Carl von Ossietzky University, Oldenburg, Germany.
Andreas HeinDepartment of Health Services Research, Assistance Systems and Medical Device Technology, Carl von Ossietzky University, Oldenburg, Germany.
Jürgen M BauerCenter for Geriatric Medicine and Network Aging Research, Heidelberg University, Heidelberg, Germany.
Frauke KoppelinSection Technology and Health for Humans, Jade University of Applied Sciences Wilhelmshaven/Oldenburg/Elsfleth, Oldenburg, Germany.
Sonia LippkeJacobs University Bremen, Bremen, Germany.
Manuela PetersLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Claudia R PischkeInstitute of Medical Sociology, Centre for Health and Society, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany.
Claudia Voelcker-RehageInstitute of Sport and Exercise Sciences, University of Muenster, Muenster, Germany.
Hajo ZeebLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Sarah ForbergerLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Carl von Ossietzky Universität Oldenburg · DELeibniz Institute for Prevention Research and Epidemiology - BIPS · DEConstructor University · DEJade University of Applied Sciences · DEOldenburger Institut für Informatik · DEChemnitz University of Technology · DEHeidelberg University · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Almost all Western societies are facing the challenge that their population structure is changing very dynamically. Already in 2019, ten countries had a population share of at least 20 percent in the age group of 64 years and older. Today's society aims to improve population health and help older people live active and independent lives by developing, establishing, and promoting safe and effective interventions. Modern technological approaches offer tremendous opportunities but pose challenges when preventing functional decline. As part of the AEQUIPA Prevention Research Network, the use of technology to promote physical activity in older people over 65 years of age was investigated in different settings and from various interdisciplinary perspectives, including technology development and evaluation for older adults. We present our findings in three main areas: (a) design processes for developing technology interventions, (b) older adults as a user group, and (c) implications for the use of technology in interventions. We find that cross-cutting issues such as time and project management, supervision of participants, ethics, and interdisciplinary collaboration are of vital importance to the success of the work. The lessons learned are discussed based on the experiences gained in the overall AEQUIPA network while building, particularly on the experiences from the AEQUIPA sub-projects TECHNOLOGY and PROMOTE. Our experiences can help researchers of all disciplines, industries, and practices design, study and implement novel technology-based interventions for older adults to avoid pitfalls and create compelling and meaningful solutions.

Indexed as

ExerciseResearch PersonnelAgedHumansMiddle AgedTechnologyinterdisciplinarityinterventionolder adultsphysical activitypreventiontechnology

Identifiers

PMID36339229
PMCPMC9627148
OpenAlexW4306816526

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.