Literature DB >> 25765442

Global health care use by patients with type-2 diabetes: Does the type of comorbidity matter?

A Calderón-Larrañaga1, J M Abad-Díez2, L A Gimeno-Feliu3, J Marta-Moreno4, F González-Rubio5, M Clerencia-Sierra6, B Poblador-Plou7, A Poncel-Falcó8, A Prados-Torres7.   

Abstract

AIM: To identify patterns of health care use among diabetic patients with multimorbidity across primary, specialised, hospital and emergency care, depending on their type of chronic comorbidity.
METHODS: Longitudinal study of a population-based retrospective cohort conformed by adult patients with type-2 diabetes assigned to any of the primary care centres in Aragon during 2010 and 2011 (n=65,716). Negative binomial regressions were run to model the effect of the type of comorbidity on the number of visits to each level of care. Comorbidities were classified as concordant, discordant or mental based on expert consensus and depending on whether they shared the same overall pathophysiologic risk profile and disease management plan designed for type-2 diabetes.
RESULTS: Mental comorbidity was independently associated with total and unplanned admissions (incidence rate ratio [IRR]:1.25; 95% confidence interval [CI]:1.12-1.39, IRR:1.21; 95% CI:1.06-1.39), average length of stay (IRR:1.47; 95% CI:1.25-1.73), and total and priority emergency room visits (IRR:1.26; 95% CI:1.17-1.35, IRR:1.30; 95% CI:1.18-1.42). Patients with discordant comorbidities showed the strongest associations with the number of visits to specialists (IRR:1.38; 95% CI:1.33-1.43) and to different specialties (IRR:1.36; 95% CI:1.32-1.39). Differences regarding GP visits were lower but still significant for patients with discordant comorbidity (IRR:1.08; 95% CI:1.06-1.11), but especially for those with mental comorbidity (IRR:1.17; 95% CI:1.14-1.21).
CONCLUSION: In patients with type-2 diabetes, the coexistence of mental comorbidity significantly increases the use of unplanned hospital services, and discordant comorbidities have an important effect on specialised care use. Differences with respect to primary care use are not as prominent.
Copyright © 2015 European Federation of Internal Medicine. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Electronic health records; Emergency care; Hospitalization; Multimorbidity; Primary health care

Mesh:

Year:  2015        PMID: 25765442     DOI: 10.1016/j.ejim.2015.02.011

Source DB:  PubMed          Journal:  Eur J Intern Med        ISSN: 0953-6205            Impact factor:   4.487


  10 in total

1.  Diabetes-Multimorbidity Combinations and Disability Among Middle-aged and Older Adults.

Authors:  Ana R Quiñones; Sheila Markwardt; Anda Botoseneanu
Journal:  J Gen Intern Med       Date:  2019-02-27       Impact factor: 5.128

2.  Scaling up health knowledge at European level requires sharing integrated data: an approach for collection of database specification.

Authors:  Enrica Menditto; Angela Bolufer De Gea; Caitriona Cahir; Alessandra Marengoni; Salvatore Riegler; Giuseppe Fico; Elisio Costa; Alessandro Monaco; Sergio Pecorelli; Luca Pani; Alexandra Prados-Torres
Journal:  Clinicoecon Outcomes Res       Date:  2016-06-13

3.  Multimorbidity and care for hypertension, diabetes and HIV among older adults in rural South Africa.

Authors:  Angela Y Chang; F Xavier Gómez-Olivé; Jennifer Manne-Goehler; Alisha N Wade; Stephen Tollman; Thomas A Gaziano; Joshua A Salomon
Journal:  Bull World Health Organ       Date:  2018-10-31       Impact factor: 9.408

4.  Evaluating quality of overall care among older adults with diabetes with comorbidities in Ontario, Canada: a retrospective cohort study.

Authors:  Yelena Petrosyan; Kerry Kuluski; Jan Barnsley; Barbara Liu; Walter P Wodchis
Journal:  BMJ Open       Date:  2020-02-06       Impact factor: 2.692

Review 5.  Characterizing Multimorbidity from Type 2 Diabetes: Insights from Clustering Approaches.

Authors:  Meryem Cicek; James Buckley; Jonathan Pearson-Stuttard; Edward W Gregg
Journal:  Endocrinol Metab Clin North Am       Date:  2021-09       Impact factor: 4.741

6.  Delineating the Type 2 Diabetes Population in the Netherlands Using an All-Payer Claims Database: Specialist Care, Medication Utilization and Expenditures 2016-2018.

Authors:  Rose J Geurten; Jeroen N Struijs; Arianne M J Elissen; Henk J G Bilo; Chantal van Tilburg; Dirk Ruwaard
Journal:  Pharmacoecon Open       Date:  2021-12-04

Review 7.  Multimorbidity in chronic disease: impact on health care resources and costs.

Authors:  Steven M McPhail
Journal:  Risk Manag Healthc Policy       Date:  2016-07-05

Review 8.  The role of diseases, risk factors and symptoms in the definition of multimorbidity - a systematic review.

Authors:  Tora Grauers Willadsen; Anna Bebe; Rasmus Køster-Rasmussen; Dorte Ejg Jarbøl; Ann Dorrit Guassora; Frans Boch Waldorff; Susanne Reventlow; Niels de Fine Olivarius
Journal:  Scand J Prim Health Care       Date:  2016-03-08       Impact factor: 2.581

9.  Cohort Profile: The Epidemiology of Chronic Diseases and Multimorbidity. The EpiChron Cohort Study.

Authors:  A Prados-Torres; B Poblador-Plou; A Gimeno-Miguel; A Calderón-Larrañaga; A Poncel-Falcó; L A Gimeno-Feliú; F González-Rubio; C Laguna-Berna; J Marta-Moreno; M Clerencia-Sierra; M Aza-Pascual-Salcedo; A C Bandrés-Liso; C Coscollar-Santaliestra; V Pico-Soler; J M Abad-Díez
Journal:  Int J Epidemiol       Date:  2018-04-01       Impact factor: 7.196

10.  Determinants of hospitalization in Chinese patients with type 2 diabetes receiving a peer support intervention and JADE integrated care: the PEARL randomised controlled trial.

Authors:  Roseanne O Yeung; Jing-Heng Cai; Yuying Zhang; Andrea O Luk; Jun-Hao Pan; Junmei Yin; Risa Ozaki; Alice P S Kong; Ronald Ma; Wing-Yee So; Chiu Chi Tsang; K P Lau; Edwin Fisher; Williams Goggins; Brian Oldenburg; Julianna Chan
Journal:  Clin Diabetes Endocrinol       Date:  2018-03-07
  10 in total

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