Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Development and validation of an instrument to assess patients' appraisal, emotions and action tendencies preceding care-seeking in acute myocardial infarction: The PA-AMI questionnaire.
Karolinska Institutet, Department of Clinical Sciences, Danderyd Hospital.
The Swedish Red Cross University College, Department of Public Health and Medicine. Karolinska Institutet, Department of Clinical Neuroscience, Division of Insurance medicine.ORCID iD: 0000-0001-5376-5048
Karolinska Institutet, Department of Neurobiology, Care Sciences and Society.
Karolinska Institutet, Department of Clinical Sciences, Danderyd Hospital.
Show others and affiliations
2017 (English)In: European Journal of Cardiovascular Nursing, ISSN 1474-5151, E-ISSN 1873-1953, Vol. 16, no 3, 240-248 p.Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Reducing patient delay for patients afflicted by an acute myocardial infarction is a task of great complexity, which might be alleviated if more factors that influence this delay could be identified. Although a number of self-reported instruments associated with patient delay exist, none of these taps the content of the appraisal process related to patients' subjective emotions.

AIM: The aim of this study was to develop and validate a questionnaire aimed at assessing patients' appraisal, emotions and action tendencies when afflicted by an acute myocardial infarction.

METHODS: An item pool was generated based on themes conceptualized in a recent qualitative study of acute myocardial infarction patients' thoughts, feelings and actions preceding the decision to seek medical care. The 'Think-Aloud Protocol' and test-retest analysis at item level were performed. The modified item pool was administered to 96 patients when treated for acute myocardial infarction. Explorative factor analysis and principal component analysis with the non-linear iterative partial least squares algorithm were performed to examine the underlying factor structure of the items.

RESULTS: The findings indicated three core dimensions corresponding to three subscales, namely, 'symptom appraisal'; 'perceived inability to act'; 'autonomy preservation'. The results demonstrated acceptable measures of reliability and validity CONCLUSIONS: The PA-AMI questionnaire demonstrated satisfactory psychometric properties. Assessment of the included core dimensions may contribute to greater understanding of the appraisal processes for patients afflicted by an acute myocardial infarction.

Place, publisher, year, edition, pages
2017. Vol. 16, no 3, 240-248 p.
Keyword [en]
Appraisal; acute myocardial infarction; emotions; explorative factor analysis; instrument development; principal component analysis; questionnaire
National Category
Health Sciences Cardiac and Cardiovascular Systems
Identifiers
URN: urn:nbn:se:rkh:diva-2247DOI: 10.1177/1474515116652758PubMedID: 27231396OAI: oai:DiVA.org:rkh-2247DiVA: diva2:933784
Available from: 2016-06-07 Created: 2016-06-07 Last updated: 2017-03-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Saboonchi, Fredrik
By organisation
Department of Public Health and Medicine
In the same journal
European Journal of Cardiovascular Nursing
Health SciencesCardiac and Cardiovascular Systems

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 16 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf