Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
BMC Public Health
Published in: BMC Public Health 1/2018

Open Access 01-12-2018 | Research article

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

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

Published in: BMC Public Health | Issue 1/2018

Login to get access

Abstract

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.
Appendix
Available only for authorised users
Literature
1.
2.
3.
Gebauer S, Scherrer JF, Salas J, et al. Disability and disability benefit seeking in chronic low back pain. Occup Med. 2015;65:309–16.CrossRef
4.
Chibnall JT, Tait RC, Andresen EM, et al. Clinical and social predictors of application for social security disability insurance by workers’ compensation claimants with low back pain. J Occup Env Med. 2006;48:733–40.CrossRef
5.
6.
7.
Andrews CM, Krantz MJ, Wedam EF, et al. Methadone-induced mortality in the treatment of chronic pain: role of QT prolongation. Cardiol J. 2009;16:210–7.PubMed
8.
9.
Morasco BJ, Yarborough BJ, Smith NX, et al. Higher prescription opioid dose is associated with worse patient-reported pain outcomes and more health care utilization. J Pain. 2017;18:437–45.CrossRefPubMed
10.
Dunn KM, Von Korff M, Duhrkoop D. Overdose and prescribed opioids: associations among chronic non-cancer pain patients. Ann Intern Med. 2010;152:85–92.CrossRefPubMedPubMedCentral
11.
12.
Rudd RA, Aleshire N, Zibbell JE, Gladden RM. Increases in drug and opioid overdose deaths — United States, 2000–2014. Morb Mortaliity Wkly Rep. 2016;64:1378–82.CrossRef
13.
Ballantyne JC, LaForge K. Opioid dependence and addiction during opioid treatment of chronic pain. Pain. 2007;129:235–55.CrossRefPubMed
14.
Morasco BJ, Gritzner S, Lewis L, et al. Systematic review of prevalence, correlates, and treatment outcomes for chronic non-cancer pain in patients with comorbid substance use disorder. Pain. 2011;152:488–97.CrossRefPubMed
15.
Dobscha SK, Lovejoy TI, Morasco BJ, et al. Predictors of improvements in pain intensity in a national chort of older veterans with chronic pain. J Pain. 2016;17:824–35.CrossRefPubMedPubMedCentral
16.
Martell BA, O'Connor PG, Kerns RD, et al. Systematic review: opioid treatment for chronic back pain: prevalence, efficacy, and association with addiction. Ann Intern Med. 2007;146:116–27.CrossRefPubMed
17.
Fishbain DA, Cole B, Lewis J, Rosomoff HL, Rosomoff RS. What percentage of chronic nonmalignant pain patients exposed to chronic opioid analgesic therapy develop abuse/ addiction and/or aberrant drug-related behaviors? A structured evidence-based review. Pain Med. 2008;9:444–59.CrossRefPubMed
18.
Ramond-Roquin A, Bouton C, Bègue C, et al. Psychosocial risk factors, interventions, and comorbidity in patients with non-specific low back pain in primary care: need for comprehensive and patient-centered care. Front Med. 2015;2:73.CrossRef
19.
Ramond A, Bouton C, Richard I, et al. Psychosocial risk factors for chronic low back pain in primary care—a systematic review. Fam Pract. 2011;28:12–21.CrossRefPubMed
20.
Semrau J, Hentschke C, Buchmann J, et al. Long-term effects of interprofessional biopsychosocial rehabilitation for adults with chronic non-specific low back pain: a multicentre, quasi-experimental study. PLoS One. 2015;10:e0118609.CrossRefPubMedPubMedCentral
21.
Hoeger Bement MK, St Marie BJ, Nordstrom TM, et al. An Interprofessional consensus of core competencies for prelicensure education in pain management: curriculum application for physical therapy. Phys Ther. 2014;94:451–65.CrossRefPubMed
22.
23.
24.
25.
26.
Summary Health Statistics for U.S.Adults: National Health Interview Survey, 2009. Vital Heal. Stat number 249. US Department of Health and Human Services (2010).
27.
Mailis-Gagnon A, Yegneswaran B, Lakha SF, et al. Pain characteristics and demographics of patients attending a university-affiliated pain cinic in Toronto, Ontario. Pain Res Manag. 2007;12:93–9.CrossRefPubMedPubMedCentral
28.
Tian TY, Zlateva I, Anderson DR. Using electronic health records data to ientify patients with chronic pain in a primary care setting. J Am Med Inform Assoc. 2013;20:e275–80.CrossRefPubMedPubMedCentral
29.
Shmagel A, Foley R, Ibrahim H. Epidemiology of chronic low back pain in US adults: data from the 2009–2010 National Health and nutrition examination survey. Arthritis Care Res. (Hoboken). 2016;68:1688–94.CrossRefPubMedPubMedCentral
30.
Ferreira Kdos S, Speciali JG. Epidemiology of chronic pain in the office of a pain specialist neurologist. Arq Neuropsiquiatr. 2015;73:582–5.CrossRefPubMed
31.
Drug deaths January-December 2015 statewide brief update. Margaret chase smith policy center, university of Maine. 2016.
32.
33.
Peters A, Sachs J, Porter J, et al. The value of all-payer claims databases to states. North Carolina Med J. 2014;75:211–3.CrossRef
34.
35.
Johannes CB, Le TK, Zhou X, et al. The prevalence of chronic pain in United States adults: results of an internet-based survey. J Pain. 2010;11:1230–9.CrossRefPubMed
36.
Rudd RA, Seth P, David F, et al. Increases in drug and opioid-involved overdose deaths — United States, 2010–2015. MMWR Morb Mortal Wkly Rep. 2016;65(5051):1445–52.CrossRefPubMed
37.
Vital Signs: overdoses of prescription opioid pain relievers --- United States, 1999--2008. MMWR Morb Mortal Wkly Rep 60, 1487–1492 (2011).
38.
King S, Chambers CT, Huguet A, et al. The epidemiology of chronic pain in children and adolescents revisited: a systematic review. Pain. 2011;152:2729–38.CrossRefPubMed
39.
Larsson C, Hansson EE, Sundquist K, et al. Chronic pain in older adults: prevalence, incidence, and risk factors. Scand J Rheumatol. 2017;46(4):317-25.
40.
Patel KV, Guralnik JM, Dansie EJ, et al. Prevalence and impact of pain among older adults in the United States: findings from the 2011 National Health and aging trends study. PAIN. 2013;154:2649–57.CrossRefPubMed
41.
Magni G, Marchetti M, Moreschi C, et al. Chronic musculoskeletal pain and depressive symptoms in the national health and nutrition examination I. Epidemiologic follow-up study. Pain. 1993;53:163–8.CrossRefPubMed
42.
43.
Montgomery W, Vietri J, Shi J, et al. The relationship between pain severity and patient-reported outcomes among patients with chronic low back pain in Japan. J Pain Res. 2016;9:337–44.PubMedPubMedCentral
44.
2015 Report on the Status of Women & Girls in Maine Maine's Permanent Commision on the Status of Women, 2nd Biennial Report 1–41 (2015).
45.
Maine’s Complete Women’s Health Report 2011. Department of Applied Medical Science, College of Science, technology and health, University of Southern Maine. Maine Centers for Disease Control and Prevention 1–167 (2011).
46.
Poleshuck EL, Green CR. Socioeconomic disadvantage and pain. P Pain. 2008;136:235–8.CrossRef
47.
Eachus J, Chan P, Pearson N, et al. An additional dimension to health inequalities: disease severity and socioeconomic position. J Epidemiol Community Health. 1999;53:603–11.CrossRefPubMedPubMedCentral
48.
Cañizares M, Power JD, Perruccio AV, et al. Association of regional racial/cultural context and socioeconomic status with arthritis in the population: a multilevel analysis. Arthritis Care Res (Hoboken). 2008;59:399–407.CrossRef
49.
Chibnall JT, Tait RC. Long-term adjustment to work-related low back pain: associations with socio-demographics, claim processes, and post-settlement adjustment. Pain Med. 2009;10:1378–88.CrossRefPubMed
50.
51.
52.
Heymans MW, Anema JR, van Buuren S, et al. Return to work in a cohort of low back pain patients: development and validation of a clinical prediction rule. J Occup Rehabil. 2009;19:155–65.CrossRefPubMed
53.
Carron H, DeGood DE, Tait R. A comparison of low back pain patients in the United States and New Zealand: psychosocial and economic factors affecting severity of disability. Pain. 1985;21:77–89.CrossRefPubMed
Metadata
Title
Characterizing the demographics of chronic pain patients in the state of Maine using the Maine all payer claims database
Authors
Jennifer Malon
Parth Shah
Woon Yuen Koh
Gary Cattabriga
Edward Li
Ling Cao
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2018
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-018-5673-5

Other articles of this Issue 1/2018

BMC Public Health 1/2018 Go to the issue

Research article

Comparing the performance of circulating cathodic antigen and Kato-Katz techniques in evaluating Schistosoma mansoni infection in areas with low prevalence in selected counties of Kenya: a cross-sectional study

Debate

TB epidemiology: where are the young women? Know your tuberculosis epidemic, know your response

Research article

How public health nurses’ deal with sexting among young people: a qualitative inquiry using the critical incident technique

Research article

Association between internal migration and epidemic dynamics: an analysis of cause-specific mortality in Kenya and South Africa using health and demographic surveillance data

Research article

The surprising implications of familial association in disease risk

Research article

Constructions of alcohol consumption by non-problematised middle-aged drinkers: a qualitative systematic review