A codesigned integrated kidney and diabetes model of care improves patient activation among patients from culturally and linguistically diverse backgrounds.

chronic kidney disease culturally and linguistically diverse background diabetes integrated kidney and diabetes model of care patient activation

Journal

Health expectations : an international journal of public participation in health care and health policy
ISSN: 1369-7625
Titre abrégé: Health Expect
Pays: England
ID NLM: 9815926

Informations de publication

Date de publication:
12 2023
Historique:
revised: 15 06 2023
received: 10 02 2023
accepted: 18 08 2023
medline: 10 11 2023
pubmed: 28 8 2023
entrez: 28 8 2023
Statut: ppublish

Résumé

Little is known about the relationship between patients' cultural and linguistic backgrounds and patient activation, especially in people with diabetes and chronic kidney disease (CKD). We examined the association between culturally and linguistically diverse (CALD) background and patient activation and evaluated the impact of a codesigned integrated kidney and diabetes model of care on patient activation by CALD status in people with diabetes and CKD. This longitudinal study recruited adults with diabetes and CKD (Stage 3a or worse) who attended a new diabetes and kidney disease service at a tertiary hospital. All completed the patient activation measure at baseline and after 12 months and had demographic and clinical data collected. Patients from CALD backgrounds included individuals who spoke a language other than English at home, while those from non-CALD backgrounds spoke English only as their primary language. Paired t-tests compared baseline and 12-month patient activation scores by CALD status. Patients from CALD backgrounds had lower activation scores (52.1 ± 17.6) compared to those from non-CALD backgrounds (58.5 ± 14.6) at baseline. Within-group comparisons showed that patient activation scores for patients from CALD backgrounds significantly improved by 7 points from baseline to 12 months follow-up (52.1 ± 17.6-59.4 ± 14.7), and no significant change was observed for those from non-CALD backgrounds (58.5 ± 14.6-58.8 ± 13.6). Among patients with diabetes and CKD, those from CALD backgrounds report worse activation scores. Interventions that support people from CALD backgrounds with comorbid diabetes and CKD, such as the integrated kidney and diabetes model of care, may address racial and ethnic disparities that exist in patient activation and thus improve clinical outcomes. Patients, caregivers and national consumer advocacy organisations (Diabetes Australia and Kidney Health Australia) codesigned a new model of care in partnership with healthcare professionals and researchers. The development of the model of care was informed by focus groups of patients and healthcare professionals and semi-structured interviews of caregivers and healthcare professionals. Patients and caregivers also provided a rigorous evaluation of the new model of care, highlighting its strengths and weaknesses.

Sections du résumé

BACKGROUND
Little is known about the relationship between patients' cultural and linguistic backgrounds and patient activation, especially in people with diabetes and chronic kidney disease (CKD). We examined the association between culturally and linguistically diverse (CALD) background and patient activation and evaluated the impact of a codesigned integrated kidney and diabetes model of care on patient activation by CALD status in people with diabetes and CKD.
METHODS
This longitudinal study recruited adults with diabetes and CKD (Stage 3a or worse) who attended a new diabetes and kidney disease service at a tertiary hospital. All completed the patient activation measure at baseline and after 12 months and had demographic and clinical data collected. Patients from CALD backgrounds included individuals who spoke a language other than English at home, while those from non-CALD backgrounds spoke English only as their primary language. Paired t-tests compared baseline and 12-month patient activation scores by CALD status.
RESULTS
Patients from CALD backgrounds had lower activation scores (52.1 ± 17.6) compared to those from non-CALD backgrounds (58.5 ± 14.6) at baseline. Within-group comparisons showed that patient activation scores for patients from CALD backgrounds significantly improved by 7 points from baseline to 12 months follow-up (52.1 ± 17.6-59.4 ± 14.7), and no significant change was observed for those from non-CALD backgrounds (58.5 ± 14.6-58.8 ± 13.6).
CONCLUSIONS
Among patients with diabetes and CKD, those from CALD backgrounds report worse activation scores. Interventions that support people from CALD backgrounds with comorbid diabetes and CKD, such as the integrated kidney and diabetes model of care, may address racial and ethnic disparities that exist in patient activation and thus improve clinical outcomes.
PATIENT OR PUBLIC CONTRIBUTION
Patients, caregivers and national consumer advocacy organisations (Diabetes Australia and Kidney Health Australia) codesigned a new model of care in partnership with healthcare professionals and researchers. The development of the model of care was informed by focus groups of patients and healthcare professionals and semi-structured interviews of caregivers and healthcare professionals. Patients and caregivers also provided a rigorous evaluation of the new model of care, highlighting its strengths and weaknesses.

Identifiants

pubmed: 37635378
doi: 10.1111/hex.13859
pmc: PMC10632627
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

2584-2593

Informations de copyright

© 2023 The Authors. Health Expectations published by John Wiley & Sons Ltd.

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Auteurs

Edward Zimbudzi (E)

School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Monash Nursing and Midwifery, Monash University, Melbourne, Victoria, Australia.
Department of Nephrology, Monash Health, Melbourne, Victoria, Australia.

Clement Lo (C)

School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Diabetes and Vascular Medicine Unit, Monash Health, Melbourne, Victoria, Australia.

Sanjeeva Ranasinha (S)

School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.

Tim Usherwood (T)

The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Department of General Practice, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.

Kevan R Polkinghorne (KR)

School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Department of Nephrology, Monash Health, Melbourne, Victoria, Australia.
School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia.

Gregory Fulcher (G)

Department of Diabetes, Endocrinology and Metabolism, Royal North Shore Hospital, University of Sydney, Sydney, New South Wales, Australia.
Northern Clinical School, University of Sydney, Sydney, New South Wales, Australia.

Martin Gallagher (M)

The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Concord Clinical School, University of Sydney, Sydney, New South Wales, Australia.

Stephen Jan (S)

The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.

Alan Cass (A)

The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.
Menzies School of Health Research, Charles Darwin University, Casuarina, Northern Territory, Australia.

Rowan Walker (R)

Department of Renal Medicine, Alfred Health, Melbourne, Victoria, Australia.

Grant Russell (G)

School of Primary Health Care, Monash University, Melbourne, Victoria, Australia.

Greg Johnson (G)

Diabetes Australia, Canberra, Australian Capital Territory, Australia.

Peter G Kerr (PG)

Department of Nephrology, Monash Health, Melbourne, Victoria, Australia.
School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia.

Sophia Zoungas (S)

School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Diabetes and Vascular Medicine Unit, Monash Health, Melbourne, Victoria, Australia.
The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.

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