Evidence map›Paper›PMID 35072046›Full record

ArticleKidney medicine2022

Race, Income, and Medical Care Spending Patterns in High-Risk Primary Care Patients: Results From the STOP-DKD (Simultaneous Risk Factor Control Using Telehealth to Slow Progression of Diabetic Kidney Disease) Study.

Leah Machen, Clemontina A Davenport, Megan Oakes, Hayden B Bosworth, Uptal D Patel, Clarissa Diamantidis

Registry-linked trialAbstract read
In one paragraph

Article in Kidney medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01829256 (Simultaneous Risk Factor Control Using Telehealth to SlOw Progression of Diabetic Kidney Disease), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01829256 nacompletednot on this map

Simultaneous Risk Factor Control Using Telehealth to SlOw Progression of Diabetic Kidney Disease (STOP-DKD)

TypeinterventionalSponsorDuke UniversityRan2014 to 2018Enrolled285ConditionsDiabetes, Hypertension, Diabetic Kidney DiseaseArmsPharmacist telehealth intervention
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Leah MachenOchsner Medical Center, New Orleans, LA.
Clemontina A DavenportDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC.
Megan OakesDivision of General Internal Medicine, Duke University School of Medicine, Durham, NC.
Hayden B BosworthDivision of General Internal Medicine, Duke University School of Medicine, Durham, NC.
Uptal D PatelDivision of Nephrology and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
Clarissa DiamantidisDivision of General Internal Medicine, Duke University School of Medicine, Durham, NC.

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
Renal Genomics CoreP30DK096493 · NIDDK · DUKE UNIVERSITY · PI COFFMAN, THOMAS M · 2012 to 2016
$5.9M
Multi-factorial Intervention to Slow Progression of Diabetic Kidney DiseaseR01DK093938 · NIDDK · DUKE UNIVERSITY · PI BOSWORTH, HAYDEN B, DIAMANTIDIS, CLARISSA JONAS · 2013 to 2017
$3.4M
Is there a digital divide in Chronic Kidney Disease (CKD)?K23DK099385 · NIDDK · DUKE UNIVERSITY · PI DIAMANTIDIS, CLARISSA JONAS · 2014 to 2017
$678k
HSR&D Senior Research Career Scientist AwardIK6HX003161 · VA · DURHAM VA MEDICAL CENTER · PI Hayden B Bosworth · 2020 to 2026
–
HSRD VA IK6 HX003161NCATS NIH HHS UL1 TR002553NIDDK NIH HHS K23 DK099385NIDDK NIH HHS P30 DK096493NIDDK NIH HHS R01 DK093938
6 · The paper itself

Abstract

RATIONALE &

objectiveLittle is known about how socioeconomic status (SES) relates to the prioritization of medical care spending over personal expenditures in individuals with multiple comorbid conditions, and whether this relationship differs between Blacks and non-Blacks. We aimed to explore the relationship between SES, race, and medical spending among individuals with multiple comorbid conditions. STUDY

designCross-sectional evaluation of baseline data from a randomized controlled trial. SETTING &

participantsThe STOP-DKD (Simultaneous Risk Factor Control Using Telehealth to Slow Progression of Diabetic Kidney Disease) study is a completed randomized controlled trial of Duke University primary care patients with diabetes, hypertension, and chronic kidney disease. Participants underwent survey assessments inclusive of measures of socio-demographics and medication adherence. PREDICTORS: Race (Black or non-Black) and socioeconomic status (income, education, and employment). OUTCOMES: The primary outcomes were based on 4 questions related to spending, asking about reduced spending on basic/leisure needs or using savings to pay for medical care. Participants were also asked if they skipped medications to make them last longer. ANALYTICAL APPROACH: Multivariable logistic regression stratified by race and adjusted for age, sex, and household chaos was used to determine the independent effects of SES components on spending.

resultsOf 263 STOP-DKD participants, 144 (55%) were Black. Compared with non-Blacks, Black participants had lower incomes with similar levels of education and employment but were more likely to reduce spending on basic needs (29.2% vs 13.5%), leisure activities (35.4% vs 20.2%), and to skip medications (31.3% vs 15.1%), all LIMITATIONS: This study was conducted at a single site in Durham, North Carolina, and nearly exclusively included insured patients. Further, the impact of the number of comorbid conditions, medication costs, or copayments was not assessed.

conclusionsIn primary care patients with multiple chronic diseases, Black patients are more likely to reduce spending on basic needs and leisure activities to afford their medical care than non-Black patients of equivalent SES. CLINICALTRIALSGOV IDENTIFIER: NCT01829256.

Indexed as

Chronic kidney diseasemedical costsmedical spendingracial disparities

Identifiers

PMID35072046
PMCPMC8767089

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.