Patterns of self-care decision-making and associated factors: A cross-sectional observational study

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Patterns of self-care decision-making and associated factors: A cross-sectional observational study

Lee, Christopher S. (author): Boston Coll, MA USA

Freedland, Kenneth E. (author): Washington Univ, MO USA

Jaarsma, Tiny (author): Linköpings universitet,Avdelningen för omvårdnad och reproduktiv hälsa,Medicinska fakulteten

Strömberg, Anna (author): Linköpings universitet,Avdelningen för omvårdnad och reproduktiv hälsa,Medicinska fakulteten,Region Östergötland, Kardiologiska kliniken US

Vellone, Ercole (author): Tor Vergata Univ Rome, Italy; Wroclaw Med Univ, Poland

Page, Shayleigh Dickson (author): Univ Penn, PA USA

Westland, Heleen (author): Univ Med Ctr Utrecht, Netherlands

Pettersson, Sara (author): Linköpings universitet,Avdelningen för omvårdnad och reproduktiv hälsa,Medicinska fakulteten

van Rijn, Michelle (author): Univ Med Ctr Utrecht, Netherlands

Aryal, Subhash (author): Univ Penn, PA USA

Beliglio, Andrew (author): Univ Penn, PA USA

Wiebe, Douglas (author): Univ Michigan, MI USA

Riegel, Barbara (author): Univ Penn, PA USA

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PERGAMON-ELSEVIER SCIENCE LTD, 2024
2024
English.
In: International Journal of Nursing Studies. - : PERGAMON-ELSEVIER SCIENCE LTD. - 0020-7489 .- 1873-491X. ; 150

Related links:: https://urn.kb.se/re...; show more...; https://doi.org/10.1...; show less...

Journal article (peer-reviewed)

Abstract Subject headings

Objective: The aim of this study was to identify for the first time patterns of self-care decision-making (i.e. the extent to which participants viewed contextual factors influencing decisions about symptoms) and associated factors among community-dwelling adults with chronic illness.Methods: This was a secondary analysis of data collected during the development and psychometric evaluation of the 27-item Self-Care Decisions Inventory that is based on Naturalistic Decision-Making (n = 430, average age = 54.9 +/- 16.2 years, 70.2 % female, 87.0 % Caucasian, average number of chronic conditions = 3.6 +/- 2.8). Latent class mixture modeling was used to identify patterns among contextual factors that influence self-care decision-making under the domains of external, urgency, uncertainty, cognitive/affective, waiting/cue competition, and concealment. Multivariate multinomial regression was used to identify additional socio-demographic, clinical, and self-care behavior factors that were different across the patterns of self-care decision-making.Results: Three patterns of self-care decision-making were identified in a cohort of 430 adults. A 'maintainers' pattern (48.1 %) consisted of adults with limited contextual influences on self-care decision-making except for urgency. A 'highly uncertain' pattern (23.0 %) consisted of adults whose self-care decision-making was largely driven by uncertainty about the cause or meaning of the symptom. A 'distressed concealers' pattern (28.8 %) consisted of adults whose self-care decision-making was highly influenced by external factors, cognitive/affective factors and concealment. Age, education, financial security and specific symptoms were significantly different across the three patterns in multivariate models.Conclusion: Adults living with chronic illness vary in the extent to which contextual factors influence decisions they make about symptoms, and would therefore benefit from different interventions. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Subject headings

MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Omvårdnad (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Nursing (hsv//eng)

Keyword

Self-care; Symptoms; Decision-making

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art (subject category)

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By the author/editor: Lee, Christopher ...; Freedland, Kenne ...; Jaarsma, Tiny; Strömberg, Anna; Vellone, Ercole; Page, Shayleigh ...; show more...; Westland, Heleen; Pettersson, Sara; van Rijn, Michel ...; Aryal, Subhash; Beliglio, Andrew; Wiebe, Douglas; Riegel, Barbara; show less...

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MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Health Sciences; and Nursing

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By the university: Linköping University

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