Evidence map›Paper›PMID 30028225›Full record

ArticleJournal of managed care & specialty pharmacy2018

Health Care Utilization and Expenditures Following Diagnosis of Nontuberculous Mycobacterial Lung Disease in the United States.

Theodore K Marras, Mehdi Mirsaeidi, Engels Chou, Gina Eagle, Raymond Zhang, Mary Leuchars, Quanwu Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 24 citations in OpenAlex.

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  20. Risk factors and secondary care utilisation in a primary care population with non-tuberculous mycobacterial disease in the UK.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
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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

7 authors at 1 institution in 1 country.

Theodore K Marras1 Department of Medicine, University Health Network and Mount Sinai Hospital, and Department of Medicine, University of Toronto, Toronto, Canada.
Mehdi Mirsaeidi2 University of Miami, Coral Gables.
Engels Chou3 Insmed, Bridgewater, New Jersey.
Gina Eagle3 Insmed, Bridgewater, New Jersey.
Raymond Zhang4 Orbis Data Solutions, Woburn, Massachusetts.
Mary Leuchars3 Insmed, Bridgewater, New Jersey.
Quanwu Zhang3 Insmed, Bridgewater, New Jersey.
University of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNontuberculous mycobacterial lung disease (NTMLD) is an important public health concern that has been increasing in prevalence.

objectivesTo (a) describe hospitalizations and health care expenditures among patients with newly diagnosed NTMLD and (b) estimate attributable hospitalizations and expenditures to NTMLD in the United States.

methodsIn this matched cohort study, patients and controls were identified from a large U.S. national managed care insurance database containing aggregated health claims of up to 18 million fully covered members annually. NTMLD was defined based on diagnostic claims for NTMLD on ≥ 2 separate occasions ≥ 30 days apart between 2007 and 2016. Thirty-six months of continuous enrollment (12 months before and 24 months after the first diagnostic claim) was required. Health care utilization and standardized health care expenditures were summarized over 12 months before NTMLD diagnosis and for 2 subsequent years. The percentage of patients that were hospitalized in years 1 and 2 was evaluated using a generalized mixed effects model with adjustment for baseline hospitalizations, Charlson Comorbidity Index, and baseline diseases. A general estimating equation model was used to evaluate health care expenditures.

resultsThere were 1,039 patients in the NTMLD cohort and 2,078 in the control cohort. NTMLD patients had a 55.0% risk of hospitalization in year 1 (95% CI = 45.4-64.3) and a 38.8% risk in year 2 (95% CI = 30.0-48.4). The adjusted risk of hospitalization was significantly higher in the NTMLD group compared with the control group in year 1 (OR = 4.64; 95% CI = 3.74-5.76; P < 0.001) and year 2 (OR = 2.26; 95% CI = 1.78-2.87; P < 0.001). Year 1 adjusted mean health care expenditures for the total NTMLD patient population were $72,475 (95% CI = $58,510-$86,440) and for the matched control population were $28,405 (95% CI = $8,859-$47,950), with a difference of $44,070 (95% CI = $27,132-$61,008; P < 0.001). Year 2 adjusted mean expenditures for the overall NTMLD patient group were $48,114 (95% CI = $31,722-$64,507) and for the matched control group were $28,990 (95% CI = $9,429-$48,552), with a difference of $19,124 (95% CI = $7,865-$30,383; P < 0.001).

conclusionsPatients with NTMLD have a significantly greater risk of hospitalization and higher total health care expenditures than matched control patients without NTMLD. DISCLOSURES: This study was financially sponsored by Insmed. Marras reports fees from Insmed, Astra Zeneca, RedHill, and Horizon, all outside the current work. Mirsaeidi has nothing to disclose. Eagle, Q. Zhang, Chou, and Leuchars are employees of Insmed. R. Zhang is a contracted consultant at Insmed. The views expressed here are those of the authors and are not to be attributed to their respective affiliations.

Indexed as

Health ExpendituresHospital CostsPatient Acceptance of Health CareAgedAged, 80 and overCase-Control StudiesCost-Benefit AnalysisDatabases, FactualFemaleHospitalizationHumansMaleMedicareMiddle AgedMycobacterium Infections, NontuberculousProcess Assessment, Health Care

Identifiers

PMID30028225
PMCPMC10398314
OpenAlexW2883886728

What OpenQuestion holds

Textmetadata
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.