Evidence map›Paper›PMID 28399859›Full record

ArticleBMC health services research2017

Sex differences in healthcare expenditures among adults with diabetes: evidence from the medical expenditure panel survey, 2002-2011.

Joni S Williams, Kinfe Bishu, Clara E Dismuke, Leonard E Egede

Abstract readComparative Study
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Gender gaps in type 1 diabetes care.Acta diabetologica · 2023
    Article
  6. Effects of Part D Star Ratings on racial and ethnic disparities in health care costs.Exploratory research in clinical and social pharmacy · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Review
  12. Article
  13. Article
  14. Gene Expression Profiling of Type 2 Diabetes Mellitus by Bioinformatics Analysis.Computational and mathematical methods in medicine · 2020
    Article
  15. 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

4 authors.

Joni S WilliamsCenter for Patient Care and Outcomes Research, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.
Kinfe BishuCenter for Health Disparities Research, Department of Medicine, Medical University of South Carolina, 135 Rutledge Avenue, Room 280, MSC 250593, Charleston, SC, 29425, USA.
Clara E DismukeCenter for Health Disparities Research, Department of Medicine, Medical University of South Carolina, 135 Rutledge Avenue, Room 280, MSC 250593, Charleston, SC, 29425, USA.
Leonard E EgedeCenter for Patient Care and Outcomes Research, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA. legede@mcw.edu.

Funding

Technology Intensified Diabetes Education Study in AA with T2DM (TIDES)K24DK093699 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI EGEDE, LEONARD E. · 2011 to 2020
$1.5M
NIDDK NIH HHS K24 DK093699
6 · The paper itself

Abstract

backgroundThe evidence assessing differences in medical costs between men and women with diabetes living in the United States is sparse; however, evidence suggests women generally have higher healthcare expenditures compared to men. Since little is known about these differences, the aim of this study was to assess differences in out-of-pocket (OOP) and total healthcare expenditures among adults with diabetes.

methodsData were used from 20,442 adults (≥18 years of age) with diabetes from the 2002-2011 Medical Expenditure Panel Survey. Dependent variables were OOP and total direct expenditures for multiple health services (prescription, office-based, inpatient, outpatient, emergency, dental, home healthcare, and other services). The independent variable was sex. Covariates included sociodemographic characteristics, comorbid conditions, and time. Sample demographics were summarized. Mean OOP and total direct expenditures for health services by sex status were analyzed. Regression models were performed to assess incremental costs of healthcare expenditures by sex among adults with diabetes.

resultsFifty-six percent of the sample was composed of women. Unadjusted mean OOP costs were higher for women for prescriptions ($1177; 95% CI $1117-$1237 vs. $959; 95% CI $918-$1000; p < 0.001) compared to men. Unadjusted mean total direct expenditures were also higher for women for prescriptions ($3797; 95% CI $3660-$3934 vs. $3334; 95% CI $3208-$3460; p < 0.001) and home healthcare ($752; 95% CI $646-$858 vs. $397; 95% CI $332-$462; p < 0.001). When adjusting for covariates, higher OOP and total direct costs persisted for women for prescription services (OOP: $156; 95% CI $87-$225; p < 0.001 and total: $184; 95% CI $50-$318; p = 0.007). Women also paid > $50 OOP for office-based visits (p < 0.001) and > $55 total expenditures for home healthcare (p = 0.041) compared to men after adjustments.

conclusionsOur findings show women with diabetes have higher OOP and total direct expenditures compared to men. Additional research is needed to investigate this disparity between men and women and to understand the associated drivers and clinical implications. Policy recommendations are warranted to minimize the higher burden of costs for women with diabetes.

Indexed as

AdolescentAdultAgedDelivery of Health CareDemographyDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHealth ExpendituresHumansMaleMiddle AgedOffice VisitsRetrospective StudiesSex DistributionSurveys and QuestionnairesAdultsDiabetesHealthcare expendituresSex differences

Identifiers

PMID28399859
PMCPMC5387347

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.