Evidence map›Paper›PMID 33632207›Full record

ArticleBMC medical informatics and decision making2021

A method to determine a personalized set of online exercises for improving the positive mental health of a caregiver of a chronically ill patient.

Maria Ferré-Bergadà, Aida Valls, Laia Raigal-Aran, Jael Lorca-Cabrera, Núria Albacar-Riobóo, Teresa Lluch-Canut, Carme Ferré-Grau

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Maria Ferré-BergadàDept. Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, Avda. Països Catalans, 26, 43007, Tarragona, Catalonia, Spain.
Aida VallsDept. Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, Avda. Països Catalans, 26, 43007, Tarragona, Catalonia, Spain. aida.valls@urv.cat.ORCID 0000-0003-3616-7809
Laia Raigal-AranNursing Department, Universitat Rovira i Virgili, Avinguda Catalunya 35, 43002, Tarragona, Catalonia, Spain.
Jael Lorca-CabreraNursing Department, Universitat Rovira i Virgili, Avinguda Catalunya 35, 43002, Tarragona, Catalonia, Spain.
Núria Albacar-RiobóoNursing Department, Universitat Rovira i Virgili, Avinguda Catalunya 35, 43002, Tarragona, Catalonia, Spain.
Teresa Lluch-CanutNursing Department, Universitat de Barcelona, Carrer de La Feixa Llarga S/N, 08907, L'Hospitalet de Llobregat, Barcelona, Spain.
Carme Ferré-GrauNursing Department, Universitat Rovira i Virgili, Avinguda Catalunya 35, 43002, Tarragona, Catalonia, Spain.
Universitat Rovira i Virgili · ESUniversitat de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTaking care of chronic or long-term patients at home is an arduous task. Non-professional caregivers suffer the consequences of doing so, especially in terms of their mental health. Performing some simple activities through a mobile phone app may improve their mindset and consequently increase their positivity. However, each caregiver may need support in different aspects of positive mental health. In this paper, a method is defined to calculate the utility of a set of activities for a particular caregiver in order to personalize the intervention plan proposed in the app.

methodsBased on the caregivers' answers to a questionnaire, a modular averaging method is used to calculate the personal level of competence in each positive mental health factor. A reward-penalty scoring procedure then assigns an overall impact value to each activity. Finally, the app ranks the activities using this impact value.

resultsThe results of this new personalization method are provided based on a pilot test conducted on 111 caregivers. The results indicate that a conjunctive average is appropriate at the first stage and that reward should be greater than penalty in the second stage.

conclusionsThe method presented is able to personalize the intervention plan by determining the best order of carrying out the activities for each caregiver, with the aim of avoiding a high level of deterioration in any factor.

Indexed as

CaregiversMobile ApplicationsChronic DiseaseHumansMental HealthSurveys and QuestionnairesCaregiversMobile healthPersonalizationPositive mental healthUtility measurement

Identifiers

PMID33632207
PMCPMC7905974
OpenAlexW3133116149

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.