Identifying high-need patients with multimorbidity from their illness perceptions and personal resources to manage their health and care: a longitudinal study.


Journal

BMC family practice
ISSN: 1471-2296
Titre abrégé: BMC Fam Pract
Pays: England
ID NLM: 100967792

Informations de publication

Date de publication:
29 04 2020
Historique:
received: 15 09 2019
accepted: 22 04 2020
entrez: 1 5 2020
pubmed: 1 5 2020
medline: 29 6 2021
Statut: epublish

Résumé

A proactive person-centred care process is advocated for people with multimorbidity. To that aim, general practitioners may benefit from support in the identification of high-need patients, i.e. patients who are high or suboptimal users of health services and/or have a poor quality of life. To develop such support, we examined whether knowledge about patients' illness perceptions and personal resources to manage their health and care is useful to identify high-need patients among multimorbid general practice populations. Survey data, collected in 2016 and 2017, of 601 patients with two or more chronic diseases (e.g. COPD, diabetes, Parkinson's disease) registered with 40 general practices in the Netherlands were analysed by logistic regression analysis to predict frequent contact with the general practice, contact with general practice out-of-office services, unplanned hospitalisations and poor health related quality of life. Patients' illness perceptions and personal resources (education, health literacy, mastery, mental health status, financial resources, social support) were included as predictors. The four outcomes were only weakly associated among themselves (Phi .07-.19). Patients' illness perceptions and personal resources were of limited value to predict potentially suboptimal health service use, but they were important predictors of health related quality of life. Patients with a poor health related quality of life could be identified by their previously reported illness perceptions (attributing many symptoms to their chronic conditions (B = 1.479, P < .001), a high level of concern (B = 0.844, P = .002) and little perceived control over their illness (B = -0.728, P = .006)) combined with an experienced lack of social support (B = -0.527, P = .042) and a poor mental health status (B = -0.966, P = .001) (sensitivity 80.7%; specificity 68.1%). Multimorbid patients who frequently contact the general practice, use general practice out-of-office services, have unplanned hospitalisations or a poor health related quality of life are largely distinct high-need subgroups. Multimorbid patients at risk of developing a poor quality of life can be identified from specific illness beliefs, a poor mental health status and unmet social needs.

Sections du résumé

BACKGROUND
A proactive person-centred care process is advocated for people with multimorbidity. To that aim, general practitioners may benefit from support in the identification of high-need patients, i.e. patients who are high or suboptimal users of health services and/or have a poor quality of life. To develop such support, we examined whether knowledge about patients' illness perceptions and personal resources to manage their health and care is useful to identify high-need patients among multimorbid general practice populations.
METHODS
Survey data, collected in 2016 and 2017, of 601 patients with two or more chronic diseases (e.g. COPD, diabetes, Parkinson's disease) registered with 40 general practices in the Netherlands were analysed by logistic regression analysis to predict frequent contact with the general practice, contact with general practice out-of-office services, unplanned hospitalisations and poor health related quality of life. Patients' illness perceptions and personal resources (education, health literacy, mastery, mental health status, financial resources, social support) were included as predictors.
RESULTS
The four outcomes were only weakly associated among themselves (Phi .07-.19). Patients' illness perceptions and personal resources were of limited value to predict potentially suboptimal health service use, but they were important predictors of health related quality of life. Patients with a poor health related quality of life could be identified by their previously reported illness perceptions (attributing many symptoms to their chronic conditions (B = 1.479, P < .001), a high level of concern (B = 0.844, P = .002) and little perceived control over their illness (B = -0.728, P = .006)) combined with an experienced lack of social support (B = -0.527, P = .042) and a poor mental health status (B = -0.966, P = .001) (sensitivity 80.7%; specificity 68.1%).
CONCLUSIONS
Multimorbid patients who frequently contact the general practice, use general practice out-of-office services, have unplanned hospitalisations or a poor health related quality of life are largely distinct high-need subgroups. Multimorbid patients at risk of developing a poor quality of life can be identified from specific illness beliefs, a poor mental health status and unmet social needs.

Identifiants

pubmed: 32349683
doi: 10.1186/s12875-020-01148-3
pii: 10.1186/s12875-020-01148-3
pmc: PMC7191697
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

75

Subventions

Organisme : Ministerie van Volksgezondheid, Welzijn en Sport
ID : -
Pays : International

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Auteurs

Mieke Rijken (M)

Nivel (Netherlands Institute for Health Services Research), PO Box 1568, 3500, BN, Utrecht, The Netherlands. m.rijken@nivel.nl.
Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland. m.rijken@nivel.nl.

José Maria Valderas (JM)

Health Services & Policy Research, Exeter Collaboration for Academic Primary Care (APEx), NIHR PenCLAHRC, University of Exeter, Exeter, UK.

Marianne Heins (M)

Nivel (Netherlands Institute for Health Services Research), PO Box 1568, 3500, BN, Utrecht, The Netherlands.

Francois Schellevis (F)

Nivel (Netherlands Institute for Health Services Research), PO Box 1568, 3500, BN, Utrecht, The Netherlands.
Department of General Practice and Elderly Care Medicine, Amsterdam UMC, Amsterdam, The Netherlands.

Joke Korevaar (J)

Nivel (Netherlands Institute for Health Services Research), PO Box 1568, 3500, BN, Utrecht, The Netherlands.

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