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

Autor: Ling Cao, Edward C. Li, Jennifer Malon, Parth Shah, Woon Yuen Koh, Gary Cattabriga
Rok vydání: 2017
Předmět:
Male
Databases
Factual
Chronic pain
0302 clinical medicine
Cost of Illness
Residence Characteristics
ICD-9 code
Epidemiology
Medicine
030212 general & internal medicine
Child
Aged
80 and over
lcsh:Public aspects of medicine
Middle Aged
Analgesics
Opioid
Child
Preschool
Female
Diagnosis code
medicine.drug
Research Article
Adult
medicine.medical_specialty
Adolescent
Opioid
03 medical and health sciences
Insurance Claim Review
Young Adult
Age Distribution
International Classification of Diseases
Humans
Maine
Sex Distribution
Socioeconomic status
Maine all payer claims database (MEAPCD)
Aged
Insurance
Health
business.industry
Public health
Public Health
Environmental and Occupational Health
Infant
Newborn
Infant
Secondary data
lcsh:RA1-1270
medicine.disease
Socioeconomic Factors
Family medicine
Biostatistics
business
030217 neurology & neurosurgery
Zdroj: BMC Public Health
BMC Public Health, Vol 18, Iss 1, Pp 1-12 (2018)
ISSN: 1471-2458
Popis: Background Chronic 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. Methods The 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. Results More 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. Conclusions Further 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. Electronic supplementary material The online version of this article (10.1186/s12889-018-5673-5) contains supplementary material, which is available to authorized users.
Databáze: OpenAIRE
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