Evidence map›Paper›PMID 32730266›Full record

ArticlePloS one2020

Mobile applications for elderly healthcare: A systematic mapping.

Joseane O V Paiva, Rossana M C Andrade, Pedro Almir M de Oliveira, Paulo Duarte, Ismayle S Santos, Aline L de P Evangelista, Rebecca L Theophilo, Luiz Odorico M de Andrade, Ivana Cristina de H C Barreto

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Successful Aging for Community-Dwelling Older Adults: An Experimental Study with a Tablet App.International journal of environmental research and public health · 2022
    Article
  12. Review
  13. Article
  14. 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

9 authors.

Joseane O V PaivaGroup of Computer Networks, Software Engineering and Systems (GREat), Federal University of Ceará (UFC), Fortaleza, Brazil.ORCID 0000-0003-1700-8765
Rossana M C AndradeGroup of Computer Networks, Software Engineering and Systems (GREat), Federal University of Ceará (UFC), Fortaleza, Brazil.
Pedro Almir M de OliveiraGroup of Computer Networks, Software Engineering and Systems (GREat), Federal University of Ceará (UFC), Fortaleza, Brazil.
Paulo DuarteGroup of Computer Networks, Software Engineering and Systems (GREat), Federal University of Ceará (UFC), Fortaleza, Brazil.
Ismayle S SantosGroup of Computer Networks, Software Engineering and Systems (GREat), Federal University of Ceará (UFC), Fortaleza, Brazil.
Aline L de P EvangelistaOswaldo Cruz Foundation (FIOCRUZ-CEARÁ), Eusébio, Brazil.
Rebecca L TheophiloOswaldo Cruz Foundation (FIOCRUZ-CEARÁ), Eusébio, Brazil.ORCID 0000-0003-3419-423X
Luiz Odorico M de AndradeOswaldo Cruz Foundation (FIOCRUZ-CEARÁ), Eusébio, Brazil.
Ivana Cristina de H C BarretoOswaldo Cruz Foundation (FIOCRUZ-CEARÁ), Eusébio, Brazil.ORCID 0000-0001-8447-3654

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThe increase in the population aging has brought more significant concern about how proper care will be provided to the elderly in the future. Thus, the development of technological solutions for the health domain has gained more prominence. Joining this scenario to the growing use of mobile devices for daily activities, several mobile applications focused on the elderly healthcare have been developed with healthcare and software engineer professionals involved. However, there is no survey to help both professionals to take decisions on the target of application, elderly profile, empirical validation techniques, among others. Thus, the following question arises: how have mobile applications for elderly healthcare been addressed in the literature in the past years?

objectiveTo identify the state of the art in the literature concerned with the development of mobile applications for elderly healthcare, considering healthcare and software Engineering viewpoints.

methodWe performed a systematic mapping conducted by health and software engineering researchers to provide an interdisciplinary investigation of the papers that address mobile applications for elderly healthcare, summarizing the data collected under the following classification: target of application, older adult profile, spatial-temporal distribution, techniques for empirical validation and type of software engineering research.

resultsWe found a total of 2533 papers and, after applying our eligibility criteria, we got 149. We observed aspects related to the digital health initiative type, using the classification proposed by the World Health Organization (WHO), the elderly profile prioritized by the application, the spatial-temporal distribution of the studies, the empirical validation type, and the research contribution of each analyzed paper to the software engineering area.

conclusionsRegarding the WHO classification, we noticed that two categories were more frequently found, Clients and Data Services, and that none of the mobile apps were classified in the Health System Manager category. The data extraction result also reveals that most of the applications found in the literature focused on the independent elderly. Moreover, we observed that most of the studies were proposals of solutions for elderly health and the validation process of these solutions generally consisted of controlled experiments and usability evaluations. At last, the research focused on mobile applications for elderly healthcare has been performed mostly by developed countries.

Indexed as

Patient ParticipationAgedDelivery of Health CareHumansMobile ApplicationsSurveys and QuestionnairesTelemedicine

Identifiers

PMID32730266
PMCPMC7392241

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.