Evidence map›Paper›PMID 40619983›Full record

ArticleBrain and behavior2025

Exploring Different Levels of Contact Frequency in Multiple Sclerosis Care.

Sofia Persson, Ann-Christine Andersson, Boel Andersson Gäre, Jonas Lind

Abstract read
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sofia PerssonJönköping Academy for Improvement of Health and Welfare, School of Health and Welfare, Jönköping University, Jönköping, Sweden.ORCID https://orcid.org/0000-0001-9049-6254
Ann-Christine AnderssonJönköping Academy for Improvement of Health and Welfare, School of Health and Welfare, Jönköping University, Jönköping, Sweden.
Boel Andersson GäreJönköping Academy for Improvement of Health and Welfare, School of Health and Welfare, Jönköping University, Jönköping, Sweden.
Jonas LindSection of Neurology, Department of Internal Medicine, County Hospital Ryhov, Jönköping, Sweden.ORCID https://orcid.org/0000-0001-5357-3767

Funding

Forskningsrådet i Sydöstra Sverige FORSS-979791Futurum - Akademin för Hälsa och Vård, Region Jönköpings länsFuturum: Futurum (R&D unit)Medical Research Council of Southeast Sweden
6 · The paper itself

Abstract

introductionPrevious studies have identified differences in healthcare contacts, needs, and cost of care among persons living with multiple sclerosis (MS). The need for a deeper understanding of factors influencing healthcare contacts has been highlighted. The aim of this study was to explore different levels of healthcare contact frequency among persons living with MS.

methodBoth quantitative and qualitative data were collected, analyzed, and integrated in a parallel mixed-methods approach with data integration through joint display. Data were retrieved from the hospital administrative system, the Swedish national MS registry, and a previously conducted interview study. The population was divided into four segments based on healthcare contact frequency, ranging from Segment 1, with the fewest visits, to Segment 4, representing those with the most frequent contacts. Analyses were conducted using descriptive statistics, statistical tests on differences between segments, multinomial logistic regression, deductive content analysis, and integration.

resultsThe mean and median distribution of individual study variables increased or decreased (depending on scale direction) between segments for most variables toward more symptoms, reduced function, and declining experiences of health from the lowest to the highest contact frequency. The probability of belonging to a certain segment was influenced by the explanatory variables age, gender, overall health, and expanded disability status with the different variables playing different roles for each segment. Qualitative findings also suggested increased physical limitations with increased level of healthcare contacts. This was not necessarily due to MS and influence of comorbidities was sometimes expressed. Both requests of less and more healthcare contacts existed and content of healthcare contacts could have more personalized design overall, health care was perceived positively across all segments. Data integration with merged interpretation included eight themes, characteristics of the population, neurological assessment and gait function, symptoms and consequences, fatigue and cognition, perspectives on health, examinations, interactions with health care, and disease duration and future. The merged interpretation confirmed patterns of symptoms, reduced function, and declining experiences of health from the lowest to the highest contact frequency and expanded on individual variation within segments and influenced by comorbidities. Discord in data regarded relations with others, aspects of medication, and knowledge building and type of MS.

conclusionThe findings on distribution of variables and experiences across segments, were increase in symptoms, loss of function, and deterioration of health experience correlating with increased levels of contact frequency from Segments 1 to 4. The explanatory variables found were age, gender, overall health, and expanded disability. The merged interpretation, expand on individual differences on how symptoms were experienced and influenced by comorbidities. Discord found, regarding for example personal context and aspects of self-care where areas that may be overlooked in healthcare contacts. The explanatory variables identified in this study are suggested to be further explored together with the knowledge of persons living with MS and professionals.

Indexed as

Multiple SclerosisAdultAgedFemaleHumansMaleMiddle AgedRegistriesSwedencare contactscontact frequenciesmultiple sclerosis care

Identifiers

PMID40619983
PMCPMC12230343

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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.