Evidence map›Paper›PMID 25001114›Full record

ArticleBMC health services research2014

Using U.S. Medicare records to evaluate the indirect health effects on spouses: a case study in Alzheimer's disease patients.

Daniel M Gilden, Joanna M Kubisiak, Kristin Kahle-Wrobleski, Daniel E Ball, Lee Bowman

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 11% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Using elastic nets to estimate frailty burden from routinely collected national aged care data.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Measuring Frailty in Medicare Data: Development and Validation of a Claims-Based Frailty Index.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    Article
  10. Article
  11. Article
  12. Review
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

5 authors at 2 institutions in 1 country.

Daniel M GildenJEN Associates, 5 Bigelow Street, Cambridge, MA 02139, USA. dmg@jen.com.
Joanna M Kubisiak
Kristin Kahle-Wrobleski
Daniel E Ball
Lee Bowman
Eli Lilly (United States) · USAbt Global (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe burden experienced by spouses of patients with Alzheimer's disease (AD) may have negative consequences for their physical health. We describe here a method for analyzing United States Medicare records to determine the changes in health service use and costs experienced by spouses after their marital partner receives an AD diagnosis.

methodsWe initially identified all beneficiaries in the 2001-2005 Medicare 5% sample who had multiple claims listing the ICD-9 diagnostic code for AD, 331.0. The 5% sample includes spouses who share a Medicare account with their marital partners because they lack a sufficient work history for full eligibility on their own. A matched cohort study assessed incremental health costs in the spouses of AD patients versus a control group of spouses of non-AD patients. Longitudinal and cross-sectional analyses tracked the impact of a patient's AD diagnosis on his or her spouse's healthcare costs.

resultsOur method located 54,593 AD patients of whom 11.5% had spouses identifiable via a shared Medicare account. AD diagnosis in one member of a couple was associated with significantly higher monthly Medicare payments for the other member's healthcare. The spouses' elevated costs commenced 2 to 3 months before their partners' AD diagnosis and persisted over the follow-up period. After 31 months, the cumulative additional Medicare reimbursements totaled a mean $4,600 in the spouses of AD patients. This excess was significant even after accounting for differences in baseline health status between the cohorts.

conclusionThe study methodology provides a framework for comprehensively evaluating medical costs of both chronically ill patients and their spouses. This method also provides monthly data, which makes possible a longitudinal evaluation of the cost effects of specific health events. The observed correlations provide a coherent demonstration of the interdependence between AD patients' and spouses' health. Future research should examine caregiving burden and other possible factors contributing to the AD spouses' health outcomes. It should also extend the method presented here to evaluations of other chronic diseases of the elderly.

Indexed as

Health ExpendituresSpousesAged, 80 and overAlzheimer DiseaseCross-Sectional StudiesFemaleFrail ElderlyHumansLongitudinal StudiesMaleMedicareUnited States

Identifiers

PMID25001114
PMCPMC4105171
OpenAlexW2031214143

What OpenQuestion holds

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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.