Prevalence of claims-based recurrent low back pain in a Canadian population: A secondary analysis of an administrative database
© Beaudet et al.; licensee BioMed Central Ltd. 2013
Received: 9 January 2013
Accepted: 19 April 2013
Published: 29 April 2013
There is a vast literature reporting that the point prevalence of low back pain (LBP) is high and increasing. It is also known that a large proportion of acute LBP episodes are recurrent within 12 months. However, few studies report the annual trends in the prevalence of recurrent LBP or describe these trends according to age and sex categories.
We conducted a retrospective cohort study involving 401 264 adults selected from the administrative database of physician claims for the province of Quebec, Canada. These adults, aged 18 years and over, met the criteria of having consulted a physician three times within a 365-day period between 2000 and 2007 for a LBP condition corresponding to ICD-9 codes 721, 722, 724 or 739. All data were analyzed by sex and clustered according to specific age categories.
We observed a decrease from 1.64% to 1.33% in the annual prevalence between 2000 and 2007 for men. This decrease in prevalence was mostly observed between 35 and 59 years of age. Older (≥65 years) women were 1.35 times more at risk to consult a physician for LBP in a recurrent manner than older men. The most frequently reported diagnosis was non-specific LBP between 2000 to 2007. During the same period, sequelae of previous back surgery and spinal stenosis were the categories with the largest increases.
The annual prevalence of claims-based recurrent LBP progressively decreased between 2000 and 2007 for younger adults (<65 years) while older adults (≥65 years) showed an increase. Given the aging Canadian population, recurrent low back pain could have an increasing impact on the quality of life of the elderly as well as on the healthcare system.
KeywordsPrevalence Recurrence Low back pain Administrative database Registry Elderly Secondary analysis Universal health plan
Low back pain (LBP) is a common and costly health condition[1, 2]. Lifetime prevalence has an average of 39% (+/- SD 24%), with a large variability depending on the surveyed population and the LBP definition. In a lifetime, recurrent episodes will affect a large subset of the LBP population[2, 4, 5]. One patient out of four presenting with an acute LBP episode is likely to experience a LBP recurrence within one year[3, 6]. Approximately 10% of the LBP-presenting individuals will suffer from chronic LBP. These recurrent episodes and chronic cases are responsible for most of the health expenses related to LBP[8–10].
An overview of the extensive literature on low back pain led us to the following observations: 1) only 38% of prevalence studies that were reviewed provide definitions for recurrent LBP, thus making comparisons difficult; 2) LBP is often reported as a point prevalence but its longitudinal progression is seldom investigated[12–14]; 3) sex and age variables are often aggregated, which limits descriptive and categorical analyses of the data.
International experts recently used a consensus approach to propose definitions for back pain or recurrent low back pain. This issue has been examined frequently in recent years, and the community is already adopting these standards. Regarding the prevalence of low back pain over time, the use of survey- or questionnaire-based designs is not optimal. Recall biases, small sample sizes and costs are drawbacks to longitudinal studies. While national surveys allow repeated measurements of the prevalence over time, definitions regarding low back pain are not always specific, and the accuracy of LBP estimates generated with large population surveys remains debatable with regards to the variations reported. To complement the results obtained with surveys, the frequency of a health condition can be estimated based on the secondary analysis of administrative healthcare databases. Administrative databases are often developed for preparing healthcare economic evaluations[20, 21]. Recall biases are avoided and data is homogeneously extracted. In a universal healthcare system based on a centralized fee-for-service, the specificity of the administrative databases is high, in part because physicians promptly submit claims for the services provided to patients.
Therefore, by analyzing large data sets such as those found in administrative health care databases, prevalence can be determined over a longer period than in other designs. Also, the sample size is larger; therefore, categorical analyses by sex and age can be performed allowing for a better understanding of the LBP condition in different subpopulations over time.
The objective of our study was to evaluate the prevalence of claims-based recurrent low back pain in a universal health care system for the population of the province of Quebec over an 8-year period starting in 2000. By performing secondary analyses on this extensive administrative database, we provide a descriptive portrait of the longitudinal progression of the annual prevalence of recurrent LBP cases in specific age and sex categories.
Design and data sources
A secondary analysis of medical administrative data, obtained from the databases of the Régie de l’ Assurance Maladie du Québec (RAMQ), was used to perform a retrospective population-based cohort study. In the province of Quebec, the RAMQ is the government agency responsible for administering the provincial health plan, which came into effect in 1970. This plan covers medical services for Quebec residents. The RAMQ centralizes billing and service information from physicians and hospitals. In this study, the physician claims database for Quebec was used, providing information on the patient’s identification, the date of service and the primary diagnosis of the visit (four-digit International Classification of Diseases, 9th Revision, or ICD-9, codes). Each Quebec resident is assigned a unique health insurance number for identification purposes, and it is further encrypted by the RAMQ for confidentiality reasons. Demographic estimates by sex and age for the province of Quebec were obtained from Statistics Canada. The local Institutional Ethics Board and the Commission d’accès à l’information du Québec approved this study.
Study cohort for claims-based recurrent low back pain
The cohort was selected among Quebec residents, aged 18 and older, who consulted a physician (primary care or specialist) in an ambulatory care facility (emergency, urgent care clinic or outpatient clinic) for a low back pain condition between January 1, 1999 and December 31, 2008. In this study, we considered the older population as being ageg 65 or older. 401 264 adult patients were selected using the physician claims database for “claims-based recurrent low back pain” if they had at least three identical LBP diagnoses (3-digit ICD-9 codes 721, 722, 724 or 739) within a period of 365 days, with at least one of the diagnoses in the year under study.
The annual prevalence reports the proportion of patients identified with recurrent claims-based LBP for the estimated adult population in the province of Quebec for every year between 2000 and 2007. The annual frequency of ICD-9 codes was also reported according to a classification proposed by Cherkin and colleagues, which is based on clinical categories of mechanical low back problems. Extraction of the data was performed with SAS (version 9.2; SAS Institute Inc, NC, USA). Graphing, linear regressions and relative risks were prepared with GraphPad (version 5.d; Graphpad Software Inc., CA, USA). Confidence intervals (99%) were determined with the Wilson score interval method.
Comparison of claims-based recurrent LBP prevalence by age category and sex between 2000 and 2007
Age / Year
[1.10 – 1.16]
[0.68 – 0.73]
[0.87 – 0.92]
[0.62 – 0.66]
[2.01 – 2.09]
[1.59 – 1.66]
[1.62 – 1.69]
[1.41 – 1.48]
[1.89 – 1.98]
[1.64 – 1.72]
[1.73 – 1.82]
[1.52 – 1.59]
[1.31 – 1.41]
[1.29 – 1.38]
[1.67 – 1.78]
[1.74 – 1.84]
[1.18 – 1.41]
[1.26 – 1.45]
[1.50 – 1.67]
[1.75 – 1.91]
Men’s relative risk for claims-based recurrent LBP compared to women in 2000 and 2007
Age / Year
[1.22 – 1.32]
[1.05 – 1.16]
[1.20 – 1.27]
[1.09 – 1.16]
[1.05 – 1.13]
[1.05 – 1.12]
[0.75 – 0.83]
[0.72 – 0.79]
[0.73 – 0.90]
[0.69 – 0.81]
Interestingly, there was an exception for the female cohort for which the age categories greater than 65 years were consistent with a progressive increase in the prevalence of recurrent claims-based medical visits for 2007. Based on the annual prevalence from 2000 to 2007, this increase resulted in a positive slope of 16% (Table 1). More importantly, older women were up to 1.35 times more at risk to consult a physician for low back pain than were older men, which is the reverse of the trend previously observed in adults under 65 years of age (Table 2).
Variation in the frequency of ICD-9 codes for patients with claims-based recurrent mechanical LBP in 2000 and 2007
Frequency 2000 (n)
Frequency 2007 (n)
Variation over all diagnoses %
Variation by category % (n)
Probably degenerative changes
Non-specific back aches
Sequelae of previous back surgery
Based on the 2001 and 2006 census population counts, Quebec is the second most populous province, representing 24% of the Canadian population, and has a median age of 41.0 years. Quebec’s demographic characteristics are similar to the other Canadian provinces. Canada’s public health care system offers universal coverage for comprehensive health care services, which are delivered by each of the country’s provincial and territorial insurance plans in accordance with the Canada Health Act. Our secondary analysis of Quebec’s administrative claims database revealed a progressive decrease in the annual prevalence for recurrent claims-based LBP from 2000 to 2007 for both men and women. We also showed that men under 65 years of age were more likely than women to consult a physician for low back pain in a recurrent manner. This trend was reversed after the retirement age. Overall, the type of LBP diagnoses provided to patients by physicians remained stable over time, with an over-representation of non-specific backache diagnoses.
Most studies show an increase in the LBP annual prevalence over time[13, 22, 28] whereas few studies show a decrease in LBP diagnoses. Our results show a sustained decrease in claims-based recurrent LBP prevalence from 2000 to 2007. From 1996 to 2002, Deyo and colleagues identified that the percentage of medical visits for LBP was rather stable (2.3%). In our study, unmet medical needs and accessibility issues could, in part, explain the decrease in prevalence. In fact, it was shown that the waiting time for accessing a multidisciplinary pain treatment facility was over 6 months in Canada, and that LBP was the most frequently encountered condition in these clinical facilities (28%). There is also a shortage of general practitioners in Canada, where 14% of the population reported being without a family physician in 2003. In the province of Quebec, 25% of the population reported being without a family physician in 2005. The observed decrease in the annual prevalence could also reflect an increase of complementary and alternative medicine (CAM) consultations not covered by the universal health insurance plan. A study of an American population, from 2001 to 2003, showed that among a cohort of 2000 patients, 62% were seeking care from a physician, the other 38% were receiving care from chiropractors or physiotherapists. Six percent of the American population in 2002 consulted CAM practitioners for back pain. Furthermore, a national survey in 2007 revealed that the most frequent condition for consulting CAM providers was back pain or back problems (17%). Chronic back pain patients are frequent users of CAM. They are thought to choose this option when their pain remains undermanaged with conventional approaches or to prevent worsening of their condition. Chiropractic care was by far the preferred alternative care for chronic pain patients in a Canadian nationwide survey in 1996-1997. The administrative database used in this study did not allow us to verify these hypotheses, but future studies involving medical data linkage and private insurance records could provide answers.
Age and sex differences
Our data showed that adult men in the age categories corresponding to the labor force represented a peak of recurrent medical visits for LBP. This is in accordance with a previous report that showed a predominance of LBP episodes in the 45-54 age category, representing 24.8% of a 15 567 patient cohort. However, our results also showed that women behave differently than men with respect to the number of recurrent visits for a low back pain condition. The female cohort showed a sharper bi-phasic distribution, with a large increase in the peak of visits after the retirement age in 2007 compared to 2000. In line with this, a 2002 US national health survey on a sample of 31 000 respondents reported an increase from 15%, in the 18-24 age category, to 19.7% in the aging population (>65 years). Overall, women were also significantly more prevalent than men in that study, although the authors did not specifically state whether they were older women. Furthermore, our data also pointed out that men were at greater risk than women in age categories corresponding to the labor force. This observation was noted for early 2000, and it leveled out towards 2007. This could be the result of many factors including a transition away from professions involving manual labor in Quebec in this 8-year period, or an improvement in the prevention and security rules at work. Our results also revealed a higher prevalence for claims-based recurrent LBP in 2000 in men compared to women. However, in 2007, the prevalence of LBP in both sexes became equal at 1.33%. While many studies report a higher prevalence for chronic pain in women[38, 39], a recent web-based survey study in the US revealed no difference in the prevalence between men and women for chronic LBP. Also, we noted that for both sexes, there was a drop in the prevalence in the 60-64 age category in comparison to the peak in the early fifties. In Canada, the mean retirement age is 61 years of age, which is in line with the prevalence decrease in the 60-64 age category. It has been reported that the frequency of severe back pain increases with age, but that adults in age categories under 65 years of age are most affected by benign and mixed back pain. In addition, based on a decennial survey in France, active men and women of pre-retirement age showed a higher prevalence of LBP of more than 30 days, which progressively decreased past the retirement age and stabilized around the age category of 70-74. However, our data revealed that the prevalence of claims-based recurrent LBP increased in the elderly, with older women being more at risk than older men. In older adults, the prevalence of co-morbidities increases. Hypertension, lipid metabolism disorders and chronic low back pain was found to be the most prevalent triad in the elderly. Also, in a Japanese national survey, a trend for a higher point prevalence of LBP complaints for women aged over 65 was reported. It is noteworthy that in 2010, the population of the province of Quebec ranked among the oldest worldwide, behind Japan[45, 46]. Therefore, this increase of recurrent consultations for LBP might become more frequent in aging populations, especially for older women.
Larger proportion of non-specific LBP diagnoses
Our study confirmed that among the patients with claims-based recurrent LBP, 65% were diagnosed with non-specific LBP with respect to the classification proposed by Cherkin and colleagues. This proportion is lower than the previously reported 84%, 76% and 86% for non-specific diagnoses from claims-related databases in the US, but higher than the 53% reported by Martin and colleagues based on a survey. In primary care, other studies have reported that 80% of LBP diagnoses are labeled as non-specific and that no anatomopathological markers helped to explain the patient’s pain. The frequency that we report here may, however, underestimate the true proportion of non-specific LBP diagnoses in the population since our cohort selection was based on the occurrence of 3 diagnoses within a 365-day period, in comparison to single LBP episodes. For instance, it was shown that a group of patients consulting physicians 6 times or more for LBP had fewer non-specific diagnoses than those consulting once (57% vs 84%, respectively). There are several hypotheses that can explain this over-representation of the non-specific label. First, in studies analyzing administrative databases, we have to keep in mind that physicians or their administrative staff may be using the most common ICD-9 codes in their specialty practice, among which are the non-specific labels. There have also been reports that among physicians, 63% felt that they lacked adequate training in chronic pain management. Between 2000 and 2007, there was a substantial increase in spinal stenosis diagnoses in our analyses. Yet, a study reported that less than 50% of general practitioners were “very confident” in diagnosing specific conditions such as lumbar spinal stenosis and scoliosis in elderly populations. While diagnostic procedures are consistently focused on first identifying “red flags” or suspected serious pathologies, imaging is only recommended after 4 to 7 weeks, if no improvement in the condition is observed (Koes 2010). Therefore, patients diagnosed with a non-specific condition and initially no apparent serious pathology might have successive medical visits with a non-specific label before an exhaustive examination is conducted.
Our study has several limitations related to secondary analyses of administrative health care databases. First, the recent definitions for acute or recurrent LBP could not be used in the context of our study[15, 16]. Indeed, the absence of clinical information on the duration and the intensity of LBP episodes in the administrative data is incompatible with the most recent definitions. Administrative data do not differentiate between a new LBP episode and a claim related to a previous episode that is ongoing. The concept of recurrence in our study is therefore based only on repeatedly consulting a physician. Second, we proposed that three or more diagnoses in a period of one year would identify most of the cases of recurrent claims. A potential information bias thus remains if LBP was a secondary condition for patients presenting with multi-morbidities. Indeed, physicians can only bill one diagnosis claim related to their patient’s condition, a peculiarity of the RAMQ claims database. Selecting patients with only one or two LBP diagnoses could have also allowed for a greater sensitivity, but would have led to less specificity. Ultimately, a future study linking administrative and medical data could optimize both sensitivity and specificity. Time gaps between consultations have not been taken into account in this study. Time gaps between claims have been proposed as an option for improving the accuracy of the identification of the recurrence of a LBP episode. To date, the most frequently used clinical variable to report recurrence is the duration of the event. The mean gap between two distinct LBP episodes was previously reported to be 40 days. Algorithms involving the notion of time gaps between claims have to be further developed to obtain a more specific selection of patients in administrative databases. Medical data linkage to administrative data would also be helpful to increase the validity of such algorithms. Finally, we could not use exactly the same diagnosis categories reported by Vogt or Cherkin and colleagues[23, 47], which decreased the specificity of our results. We only had access to 26 ICD-9 codes with a 4-digit precision. Fortunately, we were granted access to the most frequent LBP diagnoses reported in the literature.
In summary, this study highlighted the importance of reporting LBP conditions by age categories and sex. It also showed an overall decrease of claims-based recurrent LBP prevalence in the healthcare system in recent years. Older women were more likely to consult a physician for LBP in a recurrent pattern, and this trend will probably increase in aging populations. Secondary analyses of administrative healthcare databases can be useful for determining the morbidity of prevalent health conditions as well as for surveillance, decision-making, cost-of-illness evaluations and guiding research programs.
This work was supported by a grant from the ACCORD research program. NB is supported by the Fonds de la Recherche en Santé du Québec (FRSQ) and the Canadian Institutes for Health Research (CIHR) Ph.D. scholarships. PS is the recipient of a FRSQ Junior 2 salary support and AV of a FRSQ senior salary support. The authors thank StatSciences for assistance in biostatistics. Philippe Feredj and Myriam Beaudet are thanked for their assistance in retrieving census reports and data.
- Lin C-WC, Haas M, Maher CG, Machado LAC, van Tulder MW: Cost-effectiveness of guideline-endorsed treatments for low back pain: a systematic review. Eur Spine J. 2011, 20: 1024-1038. 10.1007/s00586-010-1676-3.View ArticlePubMedPubMed CentralGoogle Scholar
- Dagenais S, Caro J, Haldeman S: A systematic review of low back pain cost of illness studies in the United States and internationally. Spine J. 2008, 8: 8-20. 10.1016/j.spinee.2007.10.005.View ArticlePubMedGoogle Scholar
- Hoy DG, Bain C, Williams G, March L, Brooks P, Blyth F, Woolf A, Vos T, Buchbinder R: A systematic review of the global prevalence of low back pain. Arthritis Rheum. 2012, 64 (6): 2028-2037. 10.1002/art.34347.View ArticlePubMedGoogle Scholar
- Lin C-WC, Haas M, Maher CG, Machado LAC, van Tulder MW: Cost-effectiveness of general practice care for low back pain: a systematic review. Eur Spine J. 2011, 20: 1012-1023. 10.1007/s00586-010-1675-4.View ArticlePubMedPubMed CentralGoogle Scholar
- Stanton TR, Latimer J, Maher CG, Hancock M: Definitions of recurrence of an episode of low back pain: a systematic review. Spine. 2009, 34: E316-E322. 10.1097/BRS.0b013e318198d073.View ArticlePubMedGoogle Scholar
- Stanton TR, Henschke N, Maher CG, Refshauge KM, Latimer J, McAuley JH: After an episode of acute low back pain, recurrence is unpredictable and not as common as previously thought. Spine. 2008, 33: 2923-2928. 10.1097/BRS.0b013e31818a3167.View ArticlePubMedGoogle Scholar
- Johannes CB, Le TK, Zhou X, Johnston JA, Dworkin RH: The prevalence of chronic pain in United States adults: results of an Internet-based survey. J Pain. 2010, 11: 1230-1239. 10.1016/j.jpain.2010.07.002.View ArticlePubMedGoogle Scholar
- Bachmann S, Wieser S, Oesch P, Schmidhauser S, Knüsel O, Kool J: Three-year cost analysis of function-centred versus pain-centred inpatient rehabilitation in patients with chronic non-specific low back pain. J Rehabil Med. 2009, 41: 919-923. 10.2340/16501977-0449.View ArticlePubMedGoogle Scholar
- Linton SJ, Hellsing AL, Halldén K: A population-based study of spinal pain among 35-45-year-old individuals. Prevalence, sick leave, and health care use. Spine. 1998, 23: 1457-1463. 10.1097/00007632-199807010-00006.View ArticlePubMedGoogle Scholar
- Juniper M, Le TK, Mladsi D: The epidemiology, economic burden, and pharmacological treatment of chronic low back pain in France, Germany, Italy, Spain and the UK: a literature-based review. Expert Opin Pharmacother. 2009, 10: 2581-2592. 10.1517/14656560903304063.View ArticlePubMedGoogle Scholar
- Stanton TR, Latimer J, Maher CG, Hancock MJ: How do we define the condition “recurrent low back pain?” A systematic review. Eur Spine J. 2010, 19: 533-539. 10.1007/s00586-009-1214-3.View ArticlePubMedGoogle Scholar
- Martin BI, Deyo RA, Mirza SK, Turner JA, Comstock BA, Hollingworth W, Sullivan SD: Expenditures and health status among adults with back and neck problems. JAMA. 2008, 299: 656-664. 10.1001/jama.299.6.656.View ArticlePubMedGoogle Scholar
- Weiner DK, Kim Y-S, Bonino P, Wang T: Low back pain in older adults: are we utilizing healthcare resources wisely?. Pain Med. 2006, 7: 143-150. 10.1111/j.1526-4637.2006.00112.x.View ArticlePubMedGoogle Scholar
- Mattila VM, Sillanpää P, Visuri T, Pihlajamäki H: Incidence and trends of low back pain hospitalisation during military service–an analysis of 387,070 Finnish young males. BMC Musculoskelet Disord. 2009, 10: 10-10.1186/1471-2474-10-10.View ArticlePubMedPubMed CentralGoogle Scholar
- Dionne CE, Dunn KM, Croft PR, Nachemson AL, Buchbinder R, Walker BF, Wyatt M, Cassidy JD, Rossignol M, Leboeuf-Yde C, Hartvigsen J, Leino-Arjas P, Latza U, Reis S, Gil Del Real MT, Kovacs FM, Oberg B, Cedraschi C, Bouter LM, Koes BW, Picavet HSJ, van Tulder MW, Burton K, Foster NE, Macfarlane GJ, Thomas E, Underwood M, Waddell G, Shekelle P, Volinn E: A consensus approach toward the standardization of back pain definitions for use in prevalence studies. Spine. 2008, 33: 95-103. 10.1097/BRS.0b013e31815e7f94.View ArticlePubMedGoogle Scholar
- Stanton TR, Latimer J, Maher CG, Hancock MJ: A modified Delphi approach to standardize low back pain recurrence terminology. Eur Spine J. 2010, 20 (5): 744-752.View ArticlePubMedPubMed CentralGoogle Scholar
- Picavet HSJ, Struijs JN, Westert GP: Utilization of health resources due to low back pain: survey and registered data compared. Spine. 2008, 33: 436-444. 10.1097/BRS.0b013e318163e054.View ArticlePubMedGoogle Scholar
- Loney PL, Stratford PW: The prevalence of low back pain in adults: a methodological review of the literature. Phys Ther. 1999, 79: 384-396.PubMedGoogle Scholar
- Wasiak R, Pransky G, Verma S, Webster B: Recurrence of low back pain: definition-sensitivity analysis using administrative data. Spine. 2003, 28: 2283-2291. 10.1097/01.BRS.0000085032.00663.83.View ArticlePubMedGoogle Scholar
- Maniadakis N, Gray A: The economic burden of back pain in the UK. Pain. 2000, 84: 95-103. 10.1016/S0304-3959(99)00187-6.View ArticlePubMedGoogle Scholar
- Ritzwoller DP, Crounse L, Shetterly S, Rublee D: The association of comorbidities, utilization and costs for patients identified with low back pain. BMC Musculoskelet Disord. 2006, 7: 72-10.1186/1471-2474-7-72.View ArticlePubMedPubMed CentralGoogle Scholar
- Friedly J, Standaert C, Chan L: Epidemiology of spine care: the back pain dilemma. Phys Med Rehabil Clin N Am. 2010, 21: 659-677. 10.1016/j.pmr.2010.08.002.View ArticlePubMedPubMed CentralGoogle Scholar
- Cherkin DC, Deyo RA, Volinn E, Loeser JD: Use of the International Classification of Diseases (ICD-9-CM) to identify hospitalizations for mechanical low back problems in administrative databases. Spine. 1992, 17: 817-825. 10.1097/00007632-199207000-00015.View ArticlePubMedGoogle Scholar
- Wilchesky M, Tamblyn RM, Huang A: Validation of diagnostic codes within medical services claims. J Clin Epidemiol. 2004, 57: 131-141. 10.1016/S0895-4356(03)00246-4.View ArticlePubMedGoogle Scholar
- Estimates of population, by age group and sex for July 1, Canada, provinces and territories, annual (persons unless otherwise noted).Google Scholar
- Labour force indicators by age groups for both sexes. 2006,http://www12.statcan.gc.ca/census-recensement/2006/dp-pd/hlt/97-551/pages/page.cfm?Lang=E&Geo=PR&Code=01&Table=2&Data=Count&Sex=1&StartRec=1&Sort=2&Display=Page, counts - labour force, for Canada, provinces and territories - 20% sample data,
- Canada Health Act. 2013, Minister of Justice, 1-18.Google Scholar
- Freburger JK, Holmes GM, Agans RP, Jackman AM, Darter JD, Wallace AS, Castel LD, Kalsbeek WD, Carey TS: The rising prevalence of chronic low back pain. Arch Intern Med. 2009, 169: 251-258. 10.1001/archinternmed.2008.543.View ArticlePubMedPubMed CentralGoogle Scholar
- Deyo RA, Mirza SK, Martin BI: Back Pain Prevalence and Visit Rates. Spine. 2006, 31: 2724-2727. 10.1097/01.brs.0000244618.06877.cd.View ArticlePubMedGoogle Scholar
- Peng P, Choinière M, Dion D, Intrater H, Lefort S, Lynch M, Ong M, Rashiq S, Tkachuk G, Veillette Y, STOPPAIN Investigators Group: Challenges in accessing multidisciplinary pain treatment facilities in Canada. Can J Anaesth. 2007, 54: 977-984. 10.1007/BF03016631.View ArticlePubMedGoogle Scholar
- Gagnon L: Stats Can: 14% of Canadians have no family doctor. Can Med Assoc J. 2004, 171: 124-View ArticleGoogle Scholar
- Gladu F-P: Perceived shortage of family doctors in Quebec: can we do something about it?. Can Fam Physician. 2007, 53: -1858–1860– 1871–1873Google Scholar
- Riddle DL: Factors Associated With Care Seeking From Physicians, Physical Therapists, or Chiropractors by Persons With Spinal Pain: A Population-Based Study. J Orthop Sports Phys Ther. 2011, 41 (7): 467-476.View ArticlePubMedGoogle Scholar
- Kanodia AK, Legedza ATR, Davis RB, Eisenberg DM, Phillips RS: Perceived benefit of Complementary and Alternative Medicine (CAM) for back pain: a national survey. J Am Board Fam Med. 2010, 23: 354-362. 10.3122/jabfm.2010.03.080252.View ArticlePubMedGoogle Scholar
- Barnes PM, Bloom B, Nahin RL: Complementary and alternative medicine use among adults and children: United States. Natl Health Stat Report. 2007, 2008: 1-23.Google Scholar
- Foltz V, St Pierre Y, Rozenberg S, Rossignol M, Bourgeois P, Joseph L, Adam V, Penrod JR, Clarke AE, Fautrel B: Use of complementary and alternative therapies by patients with self-reported chronic back pain: a nationwide survey in Canada. Joint Bone Spine. 2005, 72: 571-577. 10.1016/j.jbspin.2005.03.018.View ArticlePubMedGoogle Scholar
- Strine TW, Hootman JM: US national prevalence and correlates of low back and neck pain among adults. Arthritis Rheum. 2007, 57: 656-665. 10.1002/art.22684.View ArticlePubMedGoogle Scholar
- Fielding R: Prevalence and Characteristics of Chronic Pain in the General Population of Hong Kong. J Pain. 2010, 12 (2): 236-245.PubMedGoogle Scholar
- Meana M, Cho R, DesMeules M: Chronic Pain: The Extra Burden on Canadian Women. BMC Womens Health. 2004, 4 (Suppl 1): S17-10.1186/1472-6874-4-S1-S17.View ArticlePubMedPubMed CentralGoogle Scholar
- Labour force survey estimates (LFS), retirement age by class of worker and sex, annual (years).Google Scholar
- Dionne CE, Dunn KM, Croft PR: Does back pain prevalence really decrease with increasing age? A systematic review. Age Ageing. 2006, 35: 229-234. 10.1093/ageing/afj055.View ArticlePubMedGoogle Scholar
- Plouvier S, Gourmelen J, Chastang J-F, Lanoë J-L, Leclerc A: Low back pain around retirement age and physical occupational exposure during working life. BMC Public Health. 2011, 11: 268-10.1186/1471-2458-11-268.View ArticlePubMedPubMed CentralGoogle Scholar
- Fortin M, Lapointe L, Hudon C, Vanasse A: Multimorbidity is common to family practice: is it commonly researched?. Can Fam Physician. 2005, 51: 244-245.PubMedGoogle Scholar
- van den Bussche H, Koller D, Kolonko T, Hansen H, Wegscheider K, Glaeske G, von E-C L, Schäfer I, Schön G: Which chronic diseases and disease combinations are specific to multimorbidity in the elderly? Results of a claims data based cross-sectional study in Germany. BMC Public Health. 2011, 11: 101-10.1186/1471-2458-11-101.View ArticlePubMedPubMed CentralGoogle Scholar
- Suka M, Yoshida K: The national burden of musculoskeletal pain in Japan: Projections to the year 2055. Clin J Pain. 2009, 25: 313-319. 10.1097/AJP.0b013e31818c00c5.View ArticlePubMedGoogle Scholar
- Demers G, Boudreau Y, Fernet M, Jeanniot L, Tremblay M, Godbout C, Lesemann F, Quimper M, Quintin C: Le vieillissement de la main-d“oeuvre et l”avenir de la retraite : des enjeux pour tous, un effort de chacun. Rapport Synthèse de la Commission Nationale. 2012, 1: 26-Google Scholar
- Vogt MT, Kwoh CK, Cope DK, Osial TA, Culyba M, Starz TW: Analgesic usage for low back pain: impact on health care costs and service use. Spine. 2005, 30: 1075-1081. 10.1097/01.brs.0000160843.77091.07.View ArticlePubMedGoogle Scholar
- Nimgade A, McNeely E, Milton D, Celona J: Increased expenditures for other health conditions after an incident of low back pain. Spine. 2010, 35: 769-777.View ArticlePubMedGoogle Scholar
- Kent P, Keating J: Do primary-care clinicians think that nonspecific low back pain is one condition?. Spine. 2004, 29: 1022-1031. 10.1097/00007632-200405010-00015.View ArticlePubMedGoogle Scholar
- Darer JD, Hwang W, Pham HH, Bass EB, Anderson G: More training needed in chronic care: a survey of US physicians. Acad Med. 2004, 79: 541-548. 10.1097/00001888-200406000-00009.View ArticlePubMedGoogle Scholar
- Holden L, Scuffham PA, Hilton MF, Muspratt A, Ng S-K, Whiteford HA: Patterns of multimorbidity in working Australians. Popul Health Metr. 2011, 9: 15-10.1186/1478-7954-9-15.View ArticlePubMedPubMed CentralGoogle Scholar
- Blais L, Lemière C, Menzies D, Berbiche D: Validity of asthma diagnoses recorded in the Medical Services database of Quebec. Pharmacoepidemiol Drug Saf. 2006, 15: 245-252. 10.1002/pds.1202.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2474/14/151/prepub
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