Literature DB >> 8088221

The uses of outcomes research for medical effectiveness, quality of care, and reimbursement in type II diabetes.

S Greenfield1, S H Kaplan, R A Silliman, L Sullivan, W Manning, R D'Agostino, D E Singer, D M Nathan.   

Abstract

Randomized controlled trials (RCTs), such as the Diabetes Control and Complications Trial (DCCT), usually evaluate the efficacy of a single treatment strategy. The DCCT, for example, evaluates intensive diabetes management aimed at achieving glucose levels as close to normal as possible to modify specific pathophysiological outcomes--specifically, the development or worsening of microvascular disease. In contrast, longitudinal observational studies, such as the type II diabetes Patient Outcome Research Team (PORT) study, address medical effectiveness; that is, how well prevailing treatments work in clinical practice settings. The PORT relies heavily on patient-reported measures of general and diabetes-specific health status, in addition to using complications as major study outcomes. In the type II diabetes PORT, 4,000 patients with type II diabetes and a wide range of socioeconomic, demographic, and disease characteristics, from three widely dispersed geographic settings and varying systems of care, are being followed for a 2.5-year period. Data are collected from periodic self-administered patient questionnaires and from administrative data bases. In the PORT study, nonmutable confounders, such as case-mix, and potentially mutable features, such as patients' preferences for treatment, health habits, regimen adherence, family support, and physician's interpersonal style, are carefully measured. The PORT study will examine the effectiveness of preventive care and established disease treatment in relation to eye, cardiovascular, and extremity disease, measuring and relating use of health-care services to patient outcomes. The results have the potential for maximizing quality of care and minimizing use of services in type II diabetes by matching physician-level profiles of patient outcomes with medical-care-process data and making this information accessible to practicing physicians.

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Mesh:

Year:  1994        PMID: 8088221

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  16 in total

1.  Quality of life in pregnancy and post-partum: a study in diabetic patients.

Authors:  M G Dalfrà; A Nicolucci; T Bisson; B Bonsembiante; A Lapolla
Journal:  Qual Life Res       Date:  2011-06-02       Impact factor: 4.147

2.  The effects of financial pressures on adherence and glucose control among racial/ethnically diverse patients with diabetes.

Authors:  Quyen Ngo-Metzger; Dara H Sorkin; John Billimek; Sheldon Greenfield; Sherrie H Kaplan
Journal:  J Gen Intern Med       Date:  2011-10-18       Impact factor: 5.128

3.  Who can respond to treatment? Identifying patient characteristics related to heterogeneity of treatment effects.

Authors:  Sherrie H Kaplan; John Billimek; Dara H Sorkin; Quyen Ngo-Metzger; Sheldon Greenfield
Journal:  Med Care       Date:  2010-06       Impact factor: 2.983

4.  Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: rationale and design.

Authors:  Steven Shea; Justin Starren; Ruth S Weinstock; Paul E Knudson; Jeanne Teresi; Douglas Holmes; Walter Palmas; Lesley Field; Robin Goland; Catherine Tuck; George Hripcsak; Linnea Capps; David Liss
Journal:  J Am Med Inform Assoc       Date:  2002 Jan-Feb       Impact factor: 4.497

5.  Health-related quality of life: an indicator of quality of care?

Authors:  H F Treurniet; M L Essink-Bot; J P Mackenbach; P J van der Maas
Journal:  Qual Life Res       Date:  1997-05       Impact factor: 4.147

6.  Development and multi-institutional implementation of coding and transmission standards for health outcomes data.

Authors:  R E Ward; C H MacWilliam; E Ye; A N Russman; R R Richards; M Huber
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

7.  Mental health symptoms and patient-reported diabetes symptom burden: implications for medication regimen changes.

Authors:  Dara H Sorkin; John Billimek; Kristin J August; Quyen Ngo-Metzger; Sherrie H Kaplan; Andrew R Reikes; Sheldon Greenfield
Journal:  Fam Pract       Date:  2015-04-05       Impact factor: 2.267

Review 8.  A systematic review of measurement properties of patient-reported outcome measures for use in patients with foot or ankle diseases.

Authors:  Yuanxi Jia; Hsiaomin Huang; Joel J Gagnier
Journal:  Qual Life Res       Date:  2017-03-17       Impact factor: 4.147

Review 9.  Type II diabetes and quality of life: a review of the literature.

Authors:  J O Hörnquist; A Wikby; U Stenström; P O Andersson; I Akerlind
Journal:  Pharmacoeconomics       Date:  1995       Impact factor: 4.981

10.  Patient complexity and risk factor control among multimorbid patients with type 2 diabetes: results from the R2D2C2 study.

Authors:  Shaista Malik; John Billimek; Sheldon Greenfield; Dara H Sorkin; Quyen Ngo-Metzger; Sherrie H Kaplan
Journal:  Med Care       Date:  2013-02       Impact factor: 2.983

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