Evidence map›Paper›PMID 36320642›Full record

ArticleCentral European journal of operations research2022

A multi-criteria decision model for assessing health and self-care ability.

Marija Milavec Kapun, Rok Drnovšek, Vladislav Rajkovič, Uroš Rajkovič

Abstract read
In one paragraph

Article in Central European journal of operations research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

4 authors.

Marija Milavec KapunFaculty of Health Sciences, University of Ljubljana, Zdravstvena Pot 5, 1000 Ljubljana, Slovenia.ORCID https://orcid.org/0000-0001-5231-3795
Rok DrnovšekUniversity Medical Centre Ljubljana, Zaloška Cesta 2, 1000 Ljubljana, Slovenia.ORCID https://orcid.org/0000-0002-7121-0203
Vladislav RajkovičFaculty of Organizational Sciences, University of Maribor, Kidričeva Cesta 55a, 4000 Kranj, Slovenia.ORCID https://orcid.org/0000-0002-2620-5528
Uroš RajkovičFaculty of Organizational Sciences, University of Maribor, Kidričeva Cesta 55a, 4000 Kranj, Slovenia.ORCID 0000-0003-0691-2580

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population ageing together with the greater prevalence of multimorbidity add to the need for and complexity of healthcare services. This makes it important to encourage and empower patients with chronic diseases to take care of themselves. An associated goal of such efforts is to significantly reduce the burden on healthcare systems and positively impact patients' health outcomes and quality of life. The paper presents a multi-criteria decision model for assessing the health and self-care of patients with chronic diseases in the home environment. The model is based on the DEX methodology and was tested on ten cases. The model assists with the timely recognition of relevant symptoms and signs in decision-making about health and self-care. It can be used to promote patients taking on an active role with respect to caring for their health and well-being. The model could be integrated into self-care processes. It might also serve as a basis for an interprofessional approach to supporting older patients with chronic diseases living as fully and independently as possible in the environment in which they feel most comfortable.

Indexed as

DEX methodologyHealthcareHome environmentMulti-criteria decision-makingPatient empowermentSelf-care

Identifiers

PMID36320642
PMCPMC9614758

What OpenQuestion holds

Textmetadata
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.