Literature DB >> 11965832

Health outcomes in type 2 diabetes.

S S Reddy1.   

Abstract

Outcome evaluation is of great interest throughout the healthcare field, but which outcomes are important depends on the viewpoint one holds. For the healthcare organisation costs and resource utilisation are paramount, whereas patients may be interested in being able to work and lead a productive life without long-term complications. Healthcare policy decisions are influenced by varying degrees of social forces, existing regulations and outcome research findings. Ideally, all three are in agreement but often they may be competitive or may not even be included in policy decision making. With respect to improving outcomes, much energy has been spent on developing diabetes care guidelines. However, these have had minimal impact on physician behaviour. Soon after onset or diagnosis of diabetes, we are most concerned with process measures such as micro-albumin levels, blood pressure monitoring, routine eye and foot examinations and lipid profiles. These process measures are related to the development of intermediate outcomes--proteinuria, retinopathy, foot ulcers and dyslipidaemia. Diabetes is an expensive disease but there is accumulating evidence that improved care can lead to better quality of life and reduction in health care resource utilisation. The UKPDS demonstrated that for one percentage point decrease in HbA1c there was a 35% reduction in the risk of complications. Preliminary data from various diabetes management programmes indicate that instituting standardised care may lead to cost savings and improved health. Rationing health care resources wisely requires consideration of multiple factors including quality of life years (QALYs) and healthy year equivalents (HYEs). Formal quantitative methods are used to measure overall desirability of a medical intervention. Questions to be answered include predictability of responsiveness or adverse events to drug therapy. Outcomes research will have a key role in future development of models of diabetes care.

Entities:  

Mesh:

Year:  2000        PMID: 11965832

Source DB:  PubMed          Journal:  Int J Clin Pract Suppl        ISSN: 1368-504X


  5 in total

1.  A method to predict the metabolic effects of changes in insulin treatment in subgroups of a large population based patient cohort.

Authors:  Marcus Osterbrand; Martin Fahlén; Anders Odén; Björn Eliasson
Journal:  Eur J Epidemiol       Date:  2007-02-06       Impact factor: 8.082

2.  Patterns of chronic disease management and health outcomes in a population-based cohort of Black women with breast cancer.

Authors:  Michelle Doose; Jennifer Tsui; Michael B Steinberg; Cathleen Y Xing; Yong Lin; Joel C Cantor; Chi-Chen Hong; Kitaw Demissie; Elisa V Bandera
Journal:  Cancer Causes Control       Date:  2021-01-06       Impact factor: 2.506

3.  The impact of diabetes mellitus and other chronic medical conditions on health-related Quality of Life: is the whole greater than the sum of its parts?

Authors:  Hwee-Lin Wee; Yin-Bun Cheung; Shu-Chuen Li; Kok-Yong Fong; Julian Thumboo
Journal:  Health Qual Life Outcomes       Date:  2005-01-12       Impact factor: 3.186

Review 4.  Complementary and alternative medicine for glycemic control of diabetes mellitus: A systematic review.

Authors:  Erni Setiyorini; Mochammad Bagus Qomaruddin; Sony Wibisono; Titik Juwariah; Anggi Setyowati; Ning Arti Wulandari; Yeni Kartika Sari; Levi Tina Sari
Journal:  J Public Health Res       Date:  2022-07-08

5.  Effects of Chronic Illness on the Quality of Life in Psychiatric out patients of the Iraq - Iran War.

Authors:  Khodabakhsh Ahmadi; Shahriar Shahidi; Vahid Nejati; Gholamreza Karami; Mehdi Masoomi
Journal:  Iran J Psychiatry       Date:  2013-03
  5 in total

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