Evidence map›Paper›PMID 29954350›Full record

ArticleBMC public health2018

Characterizing the demographics of chronic pain patients in the state of Maine using the Maine all payer claims database.

Jennifer Malon, Parth Shah, Woon Yuen Koh, Gary Cattabriga, Edward Li, Ling Cao

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  6. The relationship between chronic diseases and the intensity and duration of low back pain.European journal of physical and rehabilitation medicine · 2024
    Observational
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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

6 authors.

Jennifer MalonCenter for Excellence in the Neurosciences, University of New England, 11 Hills Beach Rd., Biddeford, ME, 04005, USA. Jmalon@une.edu.
Parth ShahCollege of Osteopathic Medicine, University of New England, Biddeford, ME, USA.
Woon Yuen KohDepartment of Mathematical Sciences, University of New England, Biddeford, ME, USA.
Gary CattabrigaCenter for Community and Public Health, Portland, ME, USA.
Edward LiCollege of Pharmacy, University of New England, Portland, ME, USA.
Ling CaoCenter for Excellence in the Neurosciences, University of New England, 11 Hills Beach Rd., Biddeford, ME, 04005, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic pain is currently a significant health problem in the United States. A comprehensive strategy is needed to increase prevention of chronic pain and to improve care for chronic pain patients. However, development of a successful strategy relies, in part, on a better understanding of the demographics and socioeconomics of patients living with chronic pain conditions. The current study was designed to understand the burden of chronic pain in the state of Maine by identifying the prevalence of chronic pain and its relationship with selected demographic and socioeconomic factors in Maine.

methodsThe Maine All Payer Claims Database (MEAPCD) (2006-2011) was used in the secondary data analysis to assess the demographic characteristics (such as age, sex, insurance type, and county of residence) of chronic pain patients in Maine. Chronic pain patients were identified based on the presence of pre-identified chronic pain-associated ICD-9 code(s) and opioid prescription information. Potential associations between the prevalence of chronic pain and a number of socioeconomic factors were determined by comparisons to Maine Census data.

resultsMore women in the state were identified as having chronic pain across all counties and all age groups (> 10 years old). Surprisingly, the majority of chronic pain patients were identified based on the diagnostic code criteria and not the opioid prescription criteria. A greater utilization of public health insurance was seen within the chronic pain patients. At the county level, although neither education level nor income were associated with the prevalence of chronic pain, these factors significantly correlated with the usage of public health insurance.

conclusionsFurther detailed characterization of the chronic pain patient population in the state of Maine, using multiple data sources, can help design population-targeted strategies to prevent and manage chronic pain.

Indexed as

Cost of IllnessDatabases, FactualInsurance Claim ReviewAdolescentAdultAgedAged, 80 and overAge DistributionAnalgesics, OpioidChildChild, PreschoolChronic PainFemaleHumansInfantInfant, NewbornAnalgesics, OpioidChronic painICD-9 codeMaineMaine all payer claims database (MEAPCD)Opioid

Identifiers

PMID29954350
PMCPMC6022454

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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.