Evidence map›Paper›PMID 29315527›Full record

ArticleHealth services research2018

Modeling Semicontinuous Longitudinal Expenditures: A Practical Guide.

Valerie A Smith, Matthew L Maciejewski, Maren K Olsen

Abstract read
In one paragraph

Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Health care utilization and excess costs after pelvic fractures among older people in Germany.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
    Observational
  5. Article
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  7. Article
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  9. Comorbidity Type and Health Care Costs in Type 2 Diabetes: A Retrospective Claims Database Analysis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2018
    Article
  10. 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

3 authors.

Valerie A SmithCenter for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, NC.ORCID 0000-0001-5170-9819
Matthew L MaciejewskiCenter for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, NC.ORCID 0000-0003-1765-5938
Maren K OlsenCenter for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, NC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare different strategies for analyzing longitudinal expenditure data that have a point mass at $0. We provide guidance on parameter interpretation, research questions, and model selection. DATA SOURCES, STUDY DESIGN, AND DATA COLLECTION: One-part models, uncorrelated two-part models, correlated conditional two-part (CTP) models, and correlated marginalized two-part (MTP) models have been proposed for longitudinal expenditures that often exhibit a large proportion of zeros and a distribution of continuous, highly right-skewed positive values. Guidance on implementing and interpreting each of these model is illustrated with an example of longitudinal (2000-2003) specialty care expenditures of veterans with hypertension, drawn from Veterans Administration data. PRINCIPAL

findingsThe four strategies answer different research questions, are appropriate for different structures of data, and provide different results. If there is a point mass at $0, then the MTP model may be most useful if the primary interest is in mean expenditures of the entire population. A CTP model may be most useful if the primary interest is in the level of expenditures conditional on them being incurred.

conclusionsResearchers should consider which modeling strategy for longitudinal expenditure outcomes is both consistent with research aims and appropriate for the data at hand.

Indexed as

Longitudinal StudiesModels, EconomicModels, StatisticalData Interpretation, StatisticalHealth ExpendituresHealth Services ResearchHumansResearch DesignUnited StatesUnited States Department of Veterans AffairscostsexpendituresSemicontinuous datatwo-part modelszero-inflated

Identifiers

PMID29315527
PMCPMC6056585

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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.