Patient-reported outcome and experience measures for diabetes: development of scale models, differences between patient groups and relationships with cardiovascular and diabetes complication risk factors, in a combined registry and survey study in Sweden.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
04 01 2019
Historique:
entrez: 7 1 2019
pubmed: 7 1 2019
medline: 20 2 2020
Statut: epublish

Résumé

The Swedish National Diabetes Register (NDR) has developed a diabetes-specific questionnaire to collect information on individuals' management of their diabetes, collaboration with healthcare providers and the disease's impact on daily life. Our main objective was to develop measures of well-being, abilities to manage diabetes and judgements of diabetes care, and to detect and quantify differences using the NDR questionnaire. The questionnaire was analysed with using responses from 3689 participants with type 1 and 2 diabetes, randomly sampled from the NDR population, combined with register data on patient characteristics and cardiovascular and diabetes complication risk factors. We used item response theory to develop scales for measuring well-being, abilities to manage diabetes and judgements of diabetes care (scores). Test-retest reliability on the scale level was analysed with intraclass correlation. Associations between scores and risk factor levels were investigated with subgroup analyses and correlations. We obtained scales with satisfactory measurement properties, covering patient reported outcome measures such as general well-being and being free of worries, and patient reported experience measure, for example, access and continuity in diabetes care. All scales had acceptable test-retest reliability and could detect differences between diabetes types, age, gender and treatment subgroups. In several aspects, for example, freedom of worries, type 1 patients report lower than type 2, and younger patients lower than older. Associations were found between some scores and glycated haemoglobin, but none with systolic blood pressure or low-density lipoprotein cholesterol. Clinicians report positive experience of using scores, visually presented, in the patient dialogue. The questionnaire measures and detects differences in patient well-being, abilities and judgements of diabetes care, and identifies areas for improvement. To further improve diabetes care, we conclude that patient-reported measures are important supplements to cardiovascular and diabetes complication risk factors, reflecting patient experiences of living with diabetes and diabetes care.

Identifiants

pubmed: 30612113
pii: bmjopen-2018-025033
doi: 10.1136/bmjopen-2018-025033
pmc: PMC6326341
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e025033

Informations de copyright

© Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Sixten Borg (S)

Department of Clinical Sciences in Malmö, Health Economics Unit, Lund University, Lund, Sweden.

Katarina Eeg-Olofsson (K)

Sahlgrenska Academy, Institute of Medicine, University of Gothenburg, Göteborg, Sweden.
Sahlgrenska University Hospital, Gothenburg, Sweden.

Bo Palaszewski (B)

Department of Data Management and Analysis, Lillhagsparken 5, Region Västra Götaland, Gothenburg, Sweden.

Maria Svedbo Engström (M)

Sahlgrenska Academy, Institute of Medicine, University of Gothenburg, Göteborg, Sweden.
School of Education, Health and Social Studies, Dalarna University, Falun, Sweden.

Ulf-G Gerdtham (UG)

Department of Clinical Sciences in Malmö, Health Economics Unit, Lund University, Lund, Sweden.
The Swedish Institute for Health Economics (IHE), Lund, Sweden.
Department of Economics, School of Economics and Management, Lund, Sweden.

Soffia Gudbjörnsdottir (S)

Sahlgrenska Academy, Institute of Medicine, University of Gothenburg, Göteborg, Sweden.
Centre of Registers Västra Götaland, Gothenburg, Sweden.

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Classifications MeSH