Publication:

The multimorbidity interaction severity index (MISI)

Date

Date

Date
2017
Journal Article
Published version
cris.lastimport.scopus2025-08-15T07:29:36Z
cris.lastimport.wos2025-08-16T01:31:09Z
cris.virtual.orcidhttps://orcid.org/0000-0003-1584-0312
cris.virtualsource.orcid5e884cae-5f3c-4e3c-b455-86b8a10a037f
dc.contributor.institutionUniversity of Zurich
dc.date.accessioned2017-02-23T12:06:48Z
dc.date.available2017-02-23T12:06:48Z
dc.date.issued2017
dc.description.abstract

Therapeutic decision-making for patients with multimorbidity (MM) is challenging. Clinical practice guidelines inadequately address harmful interactions and resulting therapeutic conflicts within and among diseases. A patient-specific measure of MM severity that takes account of this conflict is needed.As a proof of concept, we evaluated whether the new Multimorbidity Interaction Severity Index (MISI) could be used to reliably differentiate patients in terms of lower versus higher potential for harmful interactions.Two hypothetical patient cases were generated, each with 6 concurrent morbidities. One case had a low (i.e., low conflict case) and the other a high (i.e., high conflict case) potential for harmful interactions. All possible interactions between conditions and treatments were extracted from each case's record into a multimorbidity interaction matrix. Experienced general internists (N = 18) judged each interaction in the matrix in terms of likely resource utilization needed to manage the interaction. Based on these judgements, a composite index of MM interaction severity, that is, the MISI, was generated for each physician and case.The difference between each physician's MISI score for the 2 cases (MISIdiff) was computed. Based on MISIdiff, the high conflict case was judged to be of significantly greater MM severity than was the low conflict case. The positive values of the inter-quartile range, a measure of variation (or disagreement) between the 2 cases, indicated general consistency of individual physicians in judging MM severity.The data indicate that the MISI can be used to reliably differentiate hypothetical multimorbid patients in terms of lesser versus greater severity of potentially harmful interactive effects. On this basis, the MISI will be further developed for use in patient-specific assessment and management of MM. The clinical relevance of the MISI as an alternative approach to defining MM severity is discussed.

dc.identifier.doi10.1097/MD.0000000000006144
dc.identifier.issn0025-7974
dc.identifier.scopus2-s2.0-85015582441
dc.identifier.urihttps://www.zora.uzh.ch/handle/20.500.14742/129211
dc.identifier.wos000395794000013
dc.language.isoeng
dc.subject.ddc610 Medicine & health
dc.title

The multimorbidity interaction severity index (MISI)

dc.typearticle
dcterms.accessRightsinfo:eu-repo/semantics/openAccess
dcterms.bibliographicCitation.journaltitleMedicine
dcterms.bibliographicCitation.number8
dcterms.bibliographicCitation.originalpublishernameLippincott Williams & Wilkins
dcterms.bibliographicCitation.pagestarte6144
dcterms.bibliographicCitation.pmid28225495
dcterms.bibliographicCitation.volume96
dspace.entity.typePublicationen
uzh.contributor.affiliationUniversitatsSpital Zurich, Center of Competence Multimorbidity
uzh.contributor.affiliationUniversitatsSpital Zurich, Center of Competence Multimorbidity, University of Zurich
uzh.contributor.affiliationUniversitatsSpital Zurich, Center of Competence Multimorbidity
uzh.contributor.affiliationUniversitatsSpital Zurich, Center of Competence Multimorbidity
uzh.contributor.affiliationUniversitatsSpital Zurich, Center of Competence Multimorbidity
uzh.contributor.affiliationUniversitatsSpital Zurich, Center of Competence Multimorbidity
uzh.contributor.affiliationUniversity Hospital Zurich, Dermatologische Klinik
uzh.contributor.affiliationCenter of Competence Multimorbidity, University of Zurich
uzh.contributor.affiliationUniversitatsSpital Zurich, Center of Competence Multimorbidity, University of Zurich
uzh.contributor.authorGassmann, Dimitri
uzh.contributor.authorCheetham, Marcus
uzh.contributor.authorSiebenhuener, Klarissa
uzh.contributor.authorHolzer, Barbara M
uzh.contributor.authorMeindl-Fridez, Claudine
uzh.contributor.authorHildenbrand, Florian F
uzh.contributor.authorVirgini, Vanessa
uzh.contributor.authorMartin, Mike
uzh.contributor.authorBattegay, Edouard
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceYes
uzh.document.availabilitypublished_version
uzh.eprint.datestamp2017-02-23 12:06:48
uzh.eprint.lastmod2025-08-16 01:51:49
uzh.eprint.statusChange2017-02-23 12:06:48
uzh.harvester.ethYes
uzh.harvester.nbNo
uzh.identifier.doi10.5167/uzh-135703
uzh.jdb.eprintsId17153
uzh.oastatus.unpaywallgold
uzh.oastatus.zoraGold
uzh.publication.citationGassmann, Dimitri; Cheetham, Marcus; Siebenhuener, Klarissa; Holzer, Barbara M; Meindl-Fridez, Claudine; Hildenbrand, Florian F; Virgini, Vanessa; Martin, Mike; Battegay, Edouard (2017). The multimorbidity interaction severity index (MISI). Medicine, 96(8):e6144.
uzh.publication.freeAccessAtpubmedid
uzh.publication.originalworkoriginal
uzh.publication.publishedStatusfinal
uzh.scopus.impact8
uzh.scopus.subjectsGeneral Medicine
uzh.workflow.doajuzh.workflow.doaj.true
uzh.workflow.eprintid135703
uzh.workflow.fulltextStatuspublic
uzh.workflow.revisions62
uzh.workflow.rightsCheckkeininfo
uzh.workflow.sourceCrossRef:10.1097/MD.0000000000006144
uzh.workflow.statusarchive
uzh.wos.impact6
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