Medical care expenditures associated with chronic kidney disease in adults with diabetes: United States 2011

Ozieh, Mukoso N.; Dismuke, Clara E.; Lynch, Cheryl P.; Egede, Leonard E.

doi:10.1016/j.diabres.2015.04.011

Cited by 41 publications

(48 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our findings were similar to a previous study that examined the annual total expenditures for year 2011 for patients with both CKD and diabetes [15]. However, CKD ascertainment was different between the two studies.…”

Section: Discussionsupporting

confidence: 89%

See 1 more Smart Citation

Non-dialysis dependent chronic kidney disease is associated with high total and out-of-pocket healthcare expenditures

et al. 2017

View full text Add to dashboard Cite

BackgroundPrevious studies have documented the high costs of non-dialysis dependent chronic kidney disease (CKD) but out-of-pocket healthcare expenditures remain poorly explored. This study described total direct and out-of-pocket expenditures for adults with non-dialysis dependent CKD and compared expenditures with those for cancer or stroke.MethodsThis study used data from the 2011–2013 Medical Expenditure Panel Survey, a national survey of healthcare expenditures in the U.S. population. Expenditures were determined for adults with the following chronic diseases: CKD defined by 585 ICD9 codes (n = 52), cancer (colon, breast or bronchus/lung) (n = 870), or stroke (n = 1104). These represent adults who were aware of their conditions or visited a healthcare provider for the condition during the study period. Generalized linear models were used to estimate the marginal effects of CKD, cancer or stroke on adjusted expenditures compared to adults without CKD, cancer or stroke (n = 72,241) while controlling for demographics and co-morbidities and incorporating the sample weights of the complex survey design.ResultsThe mean age for group with CKD, cancer or stroke was 65.5, 66.1, and 68.2 years, respectively, while mean age for group without CKD, cancer or stroke was 47.8 years. Median values of total direct and out of pocket healthcare expenditures ranged from as high as $12,877 (Interquartile Range [IQR] $5031-$19,710) and $1439 ($688–$2732), respectively, with CKD, to as low as $1189 (IQR $196-$4388) and $226 (IQR $20-$764) in the group without CKD, cancer or stroke. After adjusting for demographics and comorbidities, the adjusted difference in total direct healthcare expenditures was $4746 (95% CI $1775-$7718) for CKD, $8608 (95% CI $6167-$11,049) for cancer and $5992 (95% CI $4208-$7775) for stroke vs. group without CKD, cancer or stroke. Adjusted difference in out-of-pocket healthcare expenditures was highest for adults with CKD ($760; 95% CI 0-$1745) and was larger than difference noted for cancer ($419; 95% CI 158–679) or stroke ($246; 95% CI 87–406) relative to group without CKD, cancer or stroke.ConclusionsTotal and out of pocket health expenditures for adults with non-dialysis dependent CKD are high and may be equal to or higher than expenditures incurred by adults with cancer or stroke.Electronic supplementary materialThe online version of this article (doi:10.1186/s12882-016-0432-2) contains supplementary material, which is available to authorized users.

show abstract

Section: Discussionsupporting

confidence: 89%

“…While total expenditures for dialysis dependent and non-dialysis dependent CKD have been previously documented, [5, 6, 15, 16] out of pocket costs for non-dialysis dependent CKD remain poorly explored. Higher out-of-pocket cost burden can impede efforts to prevent disease progression.…”

Section: Introductionmentioning

confidence: 99%

Non-dialysis dependent chronic kidney disease is associated with high total and out-of-pocket healthcare expenditures

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Conditional on a positive value, the second part of the model is estimated using a generalized linear model with a gamma distribution and a loglink function to estimate the amount of expenditure increase in the sample with expenditure greater than zero. 25,26 Based on the modified Park Test recommended by Manning and Mullahy 28 and Buntin and Zaslavsky, 29 a gamma distribution with a log link was the best-fitting generalized linear model. To calculate incremental effects of injuries and their SEs from the combined first and second parts of the model, the "margins" function in STATA 14 was used.…”

Section: Discussionmentioning

confidence: 99%

“…For each of the nine outcomes, we constructed a modified two-part model, which has become one of the most widely used methods to model health expenditures because of its ability to account for a point mass of zero expenditures and skewed, heteroskedastic expenditures greater than zero. [21][22][23][24][25][26][27] The first part of the model estimates the probability of any expenditure in the overall sample using a logistic regression model adjusting for covariates. Conditional on a positive value, the second part of the model is estimated using a generalized linear model with a gamma distribution and a loglink function to estimate the amount of expenditure increase in the sample with expenditure greater than zero.…”

Section: Discussionmentioning

confidence: 99%

Estimating annual medical and out-of-pocket expenditures associated with traumatic injuries in the United States

Alghnam

Vanness

Gaskin³

et al. 2016

Journal of Trauma and Acute Care Surgery

View full text Add to dashboard Cite

show abstract

“…20 Because of the right skewedness of expenditures data (ie, most expenditures are seen in only a small proportion of the population), 2-part models were used to study expenditures. 21 Two-part models are often used to model healthcare expenditures and are the product of: (1) the probability that any given individual had any expenditures and (2) their mean expenditures.…”

Section: Discussionmentioning

confidence: 99%

Favorable Cardiovascular Risk Profile Is Associated With Lower Healthcare Costs and Resource Utilization

Salami

Ogunmoroti

Osondu

et al. 2016

Circ: Cardiovascular Quality and Outcomes

View full text Add to dashboard Cite

Background— The American Heart Association’s 2020 Strategic Goals emphasize the value of optimizing risk factor status to reduce the burden of morbidity and mortality. In this study, we aimed to quantify the overall and marginal impact of favorable cardiovascular risk factor (CRF) profile on healthcare expenditure and resource utilization in the United States among those with and without cardiovascular disease (CVD). Methods and Results— The study population was derived from the 2012 Medical Expenditure Panel Survey (MEPS). Direct and indirect costs were calculated for all-cause healthcare resource utilization. Variables of interest included CVD diagnoses (coronary artery disease, stroke, peripheral artery disease, dysrhythmias, or heart failure), ascertained by International Classification of Diseases , Ninth Edition, Clinical Modification codes, and CRF profile (hypertension, diabetes mellitus, hypercholesterolemia, smoking, physical activity, and obesity). Two-part econometric models were used to study expenditure data. The final study sample consisted of 15 651 MEPS participants (58.5±12 years, 54% female). Overall, 5921 (37.8%) had optimal, 7002 (44.7%) had average, and 2728 (17.4%) had poor CRF profile, translating to 54.2, 64.1, and 24.9 million adults in United States, respectively. Significantly lower health expenditures were noted with favorable CRF profile across CVD status. Among study participants with established CVD, overall healthcare expenditures with optimal and average CRF profile were $5946 and $3731 less compared with those with poor CRF profile. The respective differences were $4031 and $2560 in those without CVD. Conclusions— Favorable CRF profile is associated with significantly lower medical expenditure and healthcare utilization among individuals with and without established CVD.

show abstract

Medical care expenditures associated with chronic kidney disease in adults with diabetes: United States 2011

Cited by 41 publications

References 13 publications

Non-dialysis dependent chronic kidney disease is associated with high total and out-of-pocket healthcare expenditures

Non-dialysis dependent chronic kidney disease is associated with high total and out-of-pocket healthcare expenditures

Estimating annual medical and out-of-pocket expenditures associated with traumatic injuries in the United States

Favorable Cardiovascular Risk Profile Is Associated With Lower Healthcare Costs and Resource Utilization

Contact Info

Product

Resources

About