Dataset Information

Cost-effectiveness of diabetes case management for low-income populations.

ABSTRACT:

Objective

To evaluate the cost-effectiveness of Project Dulce, a culturally specific diabetes case management and self-management training program, in four cohorts defined by insurance status.

Data sources/study setting

Clinical and cost data on 3,893 persons with diabetes participating in Project Dulce were used as inputs into a diabetes simulation model.

Study design

The Center for Outcomes Research Diabetes Model, a published, peer-reviewed and validated simulation model of diabetes, was used to evaluate life expectancy, quality-adjusted life expectancy (QALY), cumulative incidence of complications and direct medical costs over patient lifetimes (40-year time horizon) from a third-party payer perspective. Cohort characteristics, treatment effects, and case management costs were derived using a difference in difference design comparing data from the Project Dulce program to a cohort of historical controls. Long-term costs were derived from published U.S. sources. Costs and clinical benefits were discounted at 3.0 percent per annum. Sensitivity analyses were performed.

Principal findings

Incremental cost-effectiveness ratios of $10,141, $24,584, $44,941, and $69,587 per QALY gained were estimated for Project Dulce participants versus control in the uninsured, County Medical Services, Medi-Cal, and commercial insurance cohorts, respectively.

Conclusions

The Project Dulce diabetes case management program was associated with cost-effective improvements in quality-adjusted life expectancy and decreased incidence of diabetes-related complications over patient lifetimes. Diabetes case management may be particularly cost effective for low-income populations.

SUBMITTER: Gilmer TP

PROVIDER: S-EPMC2254564 | biostudies-literature | 2007 Oct

REPOSITORIES: biostudies-literature

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Publications

Cost-effectiveness of diabetes case management for low-income populations.

Gilmer Todd P TP Roze Stéphane S Valentine William J WJ Emy-Albrecht Katrina K Ray Joshua A JA Cobden David D Nicklasson Lars L Philis-Tsimikas Athena A Palmer Andrew J AJ

Health services research 20071001 5

<h4>Objective</h4>To evaluate the cost-effectiveness of Project Dulce, a culturally specific diabetes case management and self-management training program, in four cohorts defined by insurance status.<h4>Data sources/study setting</h4>Clinical and cost data on 3,893 persons with diabetes participating in Project Dulce were used as inputs into a diabetes simulation model.<h4>Study design</h4>The Center for Outcomes Research Diabetes Model, a published, peer-reviewed and validated simulation model ...[more]

PMID: 17850527

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Project description:An estimated 1 in 3 American adults will have diabetes by the year 2050. Nationally, South Carolina ranks 10th in cases of diagnosed diabetes compared to other states. In adults, type 2 diabetes (T2DM) accounts for approximately 90-95% of all diagnosed cases of diabetes. Clinically, provider and health system factors account for < 10% of the variance in major diabetes outcomes including hemoglobin A1c (HbA1c), lipid control, and resource use. Use of telemonitoring systems offer new opportunities to support patients with T2DM while waiting to be seen by their health care providers at actual office visits. A variety of interventions testing the efficacy of telemedicine interventions have been conducted, but the outcomes have yielded equivocal results, emphasizing the shortage of controlled, randomized trials in this area. This study provides a unique opportunity to address this gap in the literature by optimizing two strategies that have been shown to improve glycemic control, while simultaneously implementing clinical outcomes measures, using a sufficient sample size, and offering health care delivery to rural, underserved and low income communities with T2DM who are seen at Federally Qualified Health Centers (FQHCs) in coastal South Carolina.We describe a four-year prospective, randomized clinical trial, which will test the effectiveness of technology-assisted case management in low income rural adults with T2DM. Two-hundred (200) male and female participants, 18 years of age or older and with an HbA1c ? 8%, will be randomized into one of two groups: (1) an intervention arm employing the innovative FORA system coupled with nurse case management or (2) a usual care group. Participants will be followed for 6-months to ascertain the effect of the interventions on glycemic control. Our primary hypothesis is that among indigent, rural adult patients with T2DM treated in FQHC's, participants randomized to the technology-assisted case management intervention will have significantly greater reduction in HbA1c at 6 months of follow-up compared to usual care.Results from this study will provide important insight into the effectiveness of technology-assisted case management intervention (TACM) for optimizing diabetes care in indigent, rural adult patients with T2DM treated in FQHC's.National Institutes of Health Clinical Trials Registry (http://ClinicalTrials.gov identifier# NCT01373489.

Project description:BACKGROUND:Optimal prescription of blood pressure, lipid, and glycaemic control treatments for adults with type 2 diabetes remains unclear. We aimed to compare the effectiveness and cost-effectiveness of two treatment approaches for diabetes management in five low-income and middle-income countries. METHODS:We developed a microsimulation model to compare a treat-to-target (TTT) strategy, aiming to achieve target levels of biomarkers (blood pressure <130/80 mm Hg, LDL <2·59 mmol/L, and HbA1c <7% [ie, 53·0 mmol/mol]), with a benefit-based tailored treatment (BTT) strategy, aiming to lower estimated risk for complications (to a 10 year cardiovascular risk <10% and lifetime microvascular risk <5%) on the basis of age, sex, and biomarker values. Data were obtained from cohorts in China, Ghana, India, Mexico, and South Africa to span a spectrum of risk profiles. FINDINGS:The TTT strategy recommended treatment to a larger number of people-who were generally at lower risk of diabetes complications-than the BTT. The BTT strategy recommended treatment to fewer people at higher risk. Compared with the TTT strategy, the BTT strategy would be expected to avert 24·4-30·5% more complications and be more cost-effective from a societal perspective (saving US$4·0-300·0 per disability-adjusted life-year averted in the countries simulated). Alternative treatment thresholds, matched by total cost or population size treated, did not change the comparative superiority of the BTT strategy, nor did titrating treatment using fasting plasma glucose (for areas without HbA1c testing). However, if insulin were unavailable, the BTT strategy would no longer be superior for preventing microvascular events and was superior only for preventing cardiovascular events. INTERPRETATION:A BTT strategy is more effective and cost-effective than a TTT strategy in low-income and middle-income countries for prevention of both cardiovascular and microvascular complications of type 2 diabetes. However, the superiority of the BTT strategy for averting microvascular complications is contingent on insulin availability. FUNDING:Rosenkranz Prize for Healthcare Research in Developing Countries and US National Institutes of Health (U54 MD010724, DP2 MD010478).

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Project description:BackgroundThere is ongoing debate on the clinical benefits of antibiotic prophylaxis for reducing pelvic infection after miscarriage surgery. We aimed to study the cost-effectiveness of antibiotic prophylaxis in the surgical management of miscarriage in low-income countries.MethodsWe did an incremental cost-effectiveness analysis using data from 3412 women recruited to the AIMS trial, a randomised, double-blind, placebo-controlled trial designed to evaluate the effectiveness of antibiotic prophylaxis in the surgical management of miscarriage in Malawi, Pakistan, Tanzania, and Uganda. Economic evaluation was done from a health-care-provider perspective on the basis of the outcome of cost per pelvic infection avoided within 2 weeks of surgery. Pelvic infection was broadly defined by the presence of clinical features or the clinically identified need to administer antibiotics. We used non-parametric bootstrapping and multilevel random effects models to estimate incremental mean costs and outcomes. Decision uncertainty was shown via cost-effectiveness acceptability frontiers. The AIMS trial is registered with the ISRCTN registry, number ISRCTN97143849.FindingsBetween June 2, 2014, and April 26, 2017, 3412 women were assigned to receive either antibiotic prophylaxis (1705 [50%] of 3412) or placebo (1707 [50%] of 3412) in the AIMS trial. 158 (5%) of 3412 women developed pelvic infection within 2 weeks of surgery, of whom 68 (43%) were in the antibiotic prophylaxis group and 90 (57%) in the placebo group. There is 97-98% probability that antibiotic prophylaxis is a cost-effective intervention at expected thresholds of willingness-to-pay per additional pelvic infection avoided. In terms of post-surgery antibiotics, the antibiotic prophylaxis group was US$0·27 (95% CI -0·49 to -0·05) less expensive per woman than the placebo group. A secondary analysis, a sensitivity analysis, and all subgroup analyses supported these findings. Antibiotic prophylaxis, if implemented routinely before miscarriage surgery, could translate to an annual total cost saving of up to $1·4 million across the four participating countries and up to $8·5 million across the two regions of sub-Saharan Africa and south Asia.InterpretationAntibiotic prophylaxis is more effective and less expensive than no antibiotic prophylaxis. Policy makers in various settings should be confident that antibiotic prophylaxis in miscarriage surgery is cost-effective.FundingUK Medical Research Council, Wellcome Trust, and the UK Department for International Development.

Dataset Information

Cost-effectiveness of diabetes case management for low-income populations.

Objective

Data sources/study setting

Study design

Principal findings

Conclusions

Publications

Cost-effectiveness of diabetes case management for low-income populations.

Similar Datasets

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