Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Disentangling comorbidity in chronic pain: A study in primary health care settings from India

  • Geetha Desai,

    Roles Conceptualization, Writing – original draft

    Affiliation Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India

  • Jaisoorya T. S. ,

    Roles Conceptualization, Data curation, Funding acquisition, Writing – review & editing

    tsjaisoorya@gmail.com

    Affiliation Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India

  • Sunil Kumar G.,

    Roles Data curation, Funding acquisition, Project administration, Writing – review & editing

    Affiliation National Health Mission (Kerala), Thiruvananthapuram, India

  • Manoj L.,

    Roles Data curation, Project administration, Supervision

    Affiliation National Health Mission (Kerala), Thiruvananthapuram, India

  • Gokul G. R.,

    Roles Data curation, Supervision, Writing – review & editing

    Affiliation National Health Mission (Kerala), Thiruvananthapuram, India

  • Aakash Bajaj,

    Roles Formal analysis, Methodology

    Affiliation Department of Biostatistics, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India

  • Thennarasu K.,

    Roles Conceptualization, Formal analysis, Methodology, Writing – review & editing

    Affiliation Department of Biostatistics, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India

  • Santosh K. Chaturvedi

    Roles Conceptualization, Methodology, Supervision, Writing – review & editing

    Affiliation Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India

Abstract

Objectives

The study examined the prevalence, sociodemographic, and clinical correlates of chronic pain among primary care patients in the state of Kerala, India. It also examined the patterns and relationships of chronic physical and mental health conditions with chronic pain.

Methods

This study is a cross-sectional survey conducted among 7165 adult patients selected randomly by a multi-stage stratified design from 71 primary health centers. The questionnaires administered included Chronic pain screening questionnaire, self-reported Chronic physical health condition checklist, Patient Health Questionnaire-SADS, The Alcohol Use Disorders Identification Test, Fagerström Test for Nicotine Dependence, WHO Disability Assessment Schedule and WHOQOL- BREF for Quality/Satisfaction with Life. The prevalence and comorbid patterns of chronic pain were determined. Logistic regression analysis and generalized linear mixed-effects model was employed to examine the relationship of chronic pain to socio-demographic variables and examined physical and mental health conditions.

Results

A total of 1831 (27%) patients reported chronic pain. Among those with chronic pain, 28.3% reported no co-occurring chronic mental or physical illness, 35.3% reported one, and 36.3% reported multi-morbidity. In the multivariate analysis, patients with chronic pain when compared to those without had higher odds of being older, female, having lower education, not living with their family, greater disability, and poor satisfaction with life. Chronic pain was independently associated with both medical (hypertension, diabetes mellitus, tuberculosis, arthritis, and other medical illnesses) and mental health conditions (depressive disorders, anxiety disorders, and tobacco dependence). It showed a varying strength of association and additive effect with increasing number of co-occurring physical and mental illnesses.

Conclusions

Chronic pain is a common condition among primary care attendees associated with significant burden of medical and mental health comorbidity. The findings highlight the need to incorporate treatment models that will ensure appropriate management to improve outcomes within the resource constraints.

Introduction

Chronic pain is common and described as “pain lasting for more than 3–6 months or persisting beyond the usual course of an acute disease or after a reasonable time for healing to occur” [1]. It is associated with significant disability and reduced quality of life [1, 2]. In the largest study to date, which examined the cross-national prevalence of chronic pain conditions, 41.1% and 37.3% of subjects in developing and developed countries reported chronic pain [3]. The findings are similar to results from large surveys which have reported rates between 8–50% [39]. Studies examining chronic pain from India are however small, restricted to few institutions, or a specific sub-group (urban) with reported prevalence rates ranging from 9 to 29% [1013]. Many socio-demographic factors like female gender, older age, lower socioeconomic status and cultural expressions of distress have been consistently reported to be associated with chronic pain [1418]. The most common sites of pain reported are neck and back, with Indian studies also reporting the frequent occurrence of whole-body ache and pain in extremities. Many subjects also report pain in multiple sites, with site multiplicity being correlated with the severity of pain [19].

Elevated rates of physical and mental health comorbidity have been reported in patients with chronic pain, leading to poorer health outcomes and a greater burden [2022]. Physical illnesses like arthritis, respiratory illness, cardiovascular disorders and diabetes mellitus are commonly associated with chronic pain [20, 21]. Similarly, psychiatric disorders like depression, anxiety and substance use disorders have been reported to be common comorbidities [23, 24]. The strength of relationship however vary, with some physical and mental health conditions being more strongly associated with chronic pain [2022].

The association of co-morbidities with chronic pain needs to be studied further. Determining comorbid pattern in chronic pain while controlling for co-occurring physical and mental disorders is important as pain is now viewed both as an independent entity and also a symptom of underlying illness [25]. A study, which examined this in a nationally representative sample of adults in New Zealand, reported that only six out of fifteen examined physical/medical disorders were associated independently with chronic pain. Further, the presence of anxiety and or depression independently increased the odds of reporting chronic pain [21].

Majority of patients with chronic pain are treated in primary care, where multimorbidity is common [26, 27]. In developing countries, the proportion seeking services in primary care is likely to be higher as tertiary care pain clinics are non-existent. The higher prevalence of chronic pain in non-western communities implies that the burden of chronic pain in primary care in low- and middle-income countries (LAMIC) is likely to be higher. Management of these clinically challenging patients may be further compromised as in most developing countries, primary care physicians have a heavy patient load. In India, the estimated consultation time in primary care is 3 minutes [28]. Most primary health centers (PHC–(Government-owned general practices)), especially in rural and/or remote locations, are further constrained by minimum access to investigations. For medical professionals working in these resource constrained settings, an improved understanding of chronic pain and its independent comorbidities (physical and mental health) will help in focusing clinical care and improving outcomes. It is important as world over the management of chronic pain is generally unsatisfactory, with most patients reporting persistence of symptoms and disability for many years [22].

Since there is no available data from Indian settings, this study was done with the following objectives:

  1. To report the prevalence, clinical characteristics and socio-demographic correlates of chronic pain among primary care attendees.
  2. To examine the pattern of physical and mental comorbidity among subjects with chronic pain.
  3. To examine whether each of the examined physical and mental disorders are independently associated with chronic pain.

This is a part of larger research study “Clinical presentations, mental health issues, disability and quality of life among primary care patients in the state of Kerala, India” funded by the National Health Mission (Kerala), a governmental organization which aims at decentralized health delivery in the community.

Methodology

The study was approved by the Ethical committee of Government Medical College, Ernakulum (Approval No. 16/16, dated 26/2/2016). Subjects gave oral consent before being administered the questionnaire.

The study is a cross-sectional survey conducted in the year 2016 among patients attending government-owned primary health centers (PHCs) in the State of Kerala, India.

A representative sample of 7555 patients was obtained through multistage stratified random sampling method from 71 PHCs of the state. This sample was adequate to detect an expected prevalence of 30%, with a precision of 2.5%, with a confidence interval of 95% and a design effect of 2.5.

The block Public Relations Officers (Block PROs) of the National Health Mission (Kerala), who had postgraduate qualifications in social work administered the survey. They received training and were supervised by the medical officer in charge of the PHC.

The questionnaires were initially prepared in English, translated to Malayalam (the vernacular language), and back translated to ensure conceptual equivalence.

Instruments

Socio-demographic profile (Age/sex/marital status/education/family structure/occupation/area of residence/socio-economic status) was assessed in the form of a checklist.

In addition, the following domains were explored:

Chronic pain

Chronic pain (defined for purposes of this study as persistent pain for six months) was assessed using a questionnaire. If subjects reported that they had chronic pain, they were further asked about the duration, site, frequency, and interference with activities. The intensity of pain was classified as mild, moderate and severe based on interference with activities. Mild being no or infrequent interference, moderate being frequent interference in biological or occupational functioning and severe being significant interference in all activities.

Chronic physical conditions

Chronic physical conditions for the purposes of the study was defined as any physical health condition that have lasted more than six months. Subjects were asked to report whether they had any chronic physical health conditions. The chronic physical conditions selected for exploration were chosen from findings of the POSEIDON study (prevalence of symptoms on a single Indian health care day on a national -wide scale). Chronic physical conditions which had an above 3% prevalence in the POSEIDON study with the exception of epilepsy (included) and anemia (excluded) were examined [29]. The authors by consensus excluded anemia as it was considered that our primary care patients may have difficulty to provide the necessary information. Epilepsy was included as it was part of the objectives of the larger study to examine common neuropsychiatric condition in primary care. The physical illnesses assessed included hypertension, diabetics mellitus, asthma, tuberculosis, chronic dermatological conditions, epilepsy and arthritis.

Assessment was by self-report. Although self-reporting may underestimate the prevalence of certain conditions, studies have reported good agreement with medical records [20]. Further, in India, medical records of treatment in PHCs are maintained by patients and not the general practitioner.

Mental health conditions

The mental health conditions selected for inclusion were depressive disorders, anxiety disorders, alcohol and tobacco use. Anxiety, depressive disorders and somatoform are the commonest mental health conditions in primary care. Somatoform disorders have been excluded from assessment as it was deemed to have a significant overlap of its symptoms with pain conditions. Alcohol and tobacco are the commonest substances of abuse in India [30, 31].

The following assessment instruments were used:

  • Depression and Anxiety disorders-The Patient Health Questionnaire-Somatic, Anxiety and Depressive Symptoms (PHQ-SADS) was used to assess depressive and anxiety disorders. The instrument is validated as a screening tool for assessing depression, anxiety, panic disorder, and somatization (common mental disorders) among primary care attendees [32]. Somatization was also assessed as a part of the larger study, but considering the significant overlap between chronic pain and somatization, it was not included for analysis [33]. Subjects in this study who screened positive for depression and other depressive disorders were categorized to have depressive disorders, and those with generalized anxiety disorder and panic disorder to have anxiety disorders.
  • Alcohol Use- Alcohol use was assessed using Alcohol Use Disorders Identification Test (AUDIT). The screening instrument has 10-items, with hazardous use indicated by a score of 8 being used as a cut-off for this study [34].
  • Tobacco Use—Fagerström Test for nicotine dependence was used to assess tobacco use. The instrument has been widely used for screening for nicotine dependence with excellent sensitivity, specificity and validity [35].

Subjects who had at least one mental health disorder on assessment (depressive disorders, anxiety disorders, hazardous alcohol use, or tobacco dependence) were categorized to have mental illness.

Disability

The level of disability due to health conditions in the last one month was assessed using the 12 item World Health Organization Disability Assessment Schedule (WHODAS). Computed total scores are considered with higher scores indicating greater disability [36].

Quality/satisfaction with life

Two items from World Health Organization Quality of Life Instrument brief version (WHOQOL-BREF) was used to screen for life satisfaction and quality of life [37].

Statistical analysis

Statistical analysis was done using STATA (version 14). The data was expressed using descriptive statistics such as frequency and percentages for categorical variables and mean (SD) for continuous variables.

The prevalence, site, intensity, duration, and severity of chronic pain were determined. A full model of logistic regression analysis was done to determine the significant socio-demographic and outcome correlates (disability/quality of life/satisfaction of life) of chronic pain.

To examine the relationship of chronic pain to each of the examined physical and mental health conditions the following steps were employed:

  1. The PHC weighted prevalence of chronic pain among subjects with each of the examined chronic physical illness and mental illness was calculated. The adjusted odds ratio (OR) of chronic pain in each chronic physical condition was calculated after controlling for other co-occurring physical disorders and socio-demographic variables. Similarly, the adjusted OR of chronic pain was determined for each of the examined mental health conditions after adjusting for other co-occurring mental illness and socio-demographic variables.
  2. A step-wise generalized linear mixed-effects model (GLMM) was used to examine the independent relationship of chronic pain with examined chronic conditions:
    • In all examined physical conditions, an initial univariate analysis was done to report the relationship of each of the examined conditions with chronic pain.
    • In the second step, a binary logistic regression analysis for chronic pain was conducted for each of the physical conditions while controlling for socio-demographic variables.
    • In the third step, the relationship of chronic pain with a specific chronic physical condition, independent of the number of other co-occurring physical conditions was examined. It was done by measuring the overall count of the number of physical conditions suffered by each patient excluding the physical condition being examined. This measure was then used to ascertain whether the examined chronic physical condition remained significantly associated with chronic pain after removing the cumulative effect of number of co-occurring physical conditions.
    • A similar stepwise binary logistic regression analysis was done for all examined mental health conditions to examine which mental health condition remained significant after controlling for socio-demographic variables and total number of co-occurring mental health conditions.
    • To further disentangle the relationship of each of the examined chronic physical and mental health conditions to chronic pain, the analysis was controlled for both physical and mental illness load and further controlled for the interaction between physical and mental health conditions. The variation in the data due to sampling design (clustered at PHC level) was accounted for with the use of GLMM.

The risk associations were reported with Odds ratios (OR) with 95% confidence interval (CI).

Results

Of the 7555 patients who were invited to participate, 390 (5.2%) did not provide consent to participate in the study. Among the 7165 patients who responded, 377 questionnaires had to be discarded as they had substantial missing responses, leaving 6788 (89.8%) questionnaires for analysis. Among them, 2344 (34.5%) were men with a mean age of 41.1 (SD-11.1) years.

Chronic pain was reported by 1831 (27%) patients [males-451 (19.2%); females-1380 (31.1%)]. The clinical characteristics of patients with chronic pain are described in Table 1. Majority of the patients had pain in the whole body and pain in the extremities. Most patients (67%) had pain for a duration between 6 months to 2 years, 51% of them experienced pain daily, and nearly 63% of the sample had moderate to severe intensity of pain.

thumbnail
Table 1. Clinical characteristics of subjects with chronic pain (N = 1831)*.

https://doi.org/10.1371/journal.pone.0242865.t001

When patients with chronic pain were compared to those without pain on socio-demographic and other outcome variables using a full model of multivariate analysis, females, older individuals, those living away from family, having lower education, higher disability scores and poor satisfaction with life had higher odds of experiencing chronic pain (Table 2).

thumbnail
Table 2. Socio-demographic & clinical correlates of subjects with chronic pain*.

https://doi.org/10.1371/journal.pone.0242865.t002

Among subjects reporting chronic pain, 627 (16.8%) reported no co-occurring chronic physical illness, 770 (34.6%) reported one, while 434 (52.1%) reported more than two chronic physical conditions. Similarly, 1433 (77.4%) patients with chronic pain did not report any co-occurring mental illness, 264 (15.5%) reported one, and 134 (7.1%) reported more than one co-occurring mental illness. Collating both, among subjects with chronic pain, 28.3% reported no co-occurring chronic mental or physical illness, 35.3% reported one, and 36.3% reported more than one co-occurring physical or mental illness (multi-morbidity).

The proportion of patients reporting chronic pain in individual chronic medical illness varied from 31.0% among patients with chronic dermatological conditions to 69.6% for patients with arthritis. Correspondingly in the case of mental health conditions, the prevalence of chronic pain varied from 32.8% among patients with hazardous use of alcohol to 65.6% for those experiencing depression. Further, the risk ratios of occurrence of chronic pain in each physical and psychiatric disorder after adjusting for socio-demographic variables and co-occurring physical and mental health conditions showed arthritis and depressive disorders to have the highest risk of reporting chronic pain among examined physical and mental health disorders. In contrast, epilepsy, chronic dermatological conditions, and hazardous use of alcohol were not associated with chronic pain (Table 3).

thumbnail
Table 3. Prevalence of chronic pain in physical and mental disorders with risk ratios adjusted for other physical/mental illness and socio-demographic variables.

https://doi.org/10.1371/journal.pone.0242865.t003

The prevalence of chronic pain increased with an increasing number of physical and mental health conditions. In patients with no co-occurring physical illness the prevalence of chronic pain was 16.8%, with one physical illness the prevalence was 34.7% and with more than one physical illness it was 52.1%. Similarly, in patients with no co-occurring mental health conditions the prevalence of chronic pain was 23.8%, with one the prevalence was 49.7% and with more than one it was 60.6%.

Table 4 depicts the relationship of chronic pain when examined with physical and mental health illness using generalized linear mixed-effects model. Chronic physical conditions significantly associated with chronic pain in the unadjusted analysis were hypertension, diabetes mellitus, tuberculosis, arthritis, asthma, and other medical illnesses. Similarly, mental health conditions associated with chronic pain were depressive disorders, anxiety disorders, and tobacco dependence. This association persisted even after a stepwise analysis to control for possible confounding variables in the following domains: socio-demographic variables, the total number of physical illnesses; the total number of mental illness; the combination of total number of physical and mental health conditions; and interaction of physical and mental health conditions. The only exception was asthma, which no longer showed association when controlled for socio-demographic variables and the total number of mental health conditions but was significant in other models.

thumbnail
Table 4. Generalized linear effects models of physical and mental health comorbidity in patients with chronic pain.

https://doi.org/10.1371/journal.pone.0242865.t004

Discussion

The prevalence of chronic pain among our primary care attendees was 27%. Studies examining chronic pain have reported a wide variation in prevalence (8–50%). Methodological aspects including the pain condition examined, settings (general population/primary care/hospitals), methods of assessment (self-report/screening/structured interview) and socio-cultural differences have been postulated to explain this variation. Despite this, our prevalence rate is broadly comparable to the rates reported from large studies among primary care patients. Data from the WHO Collaborative study of Psychological Problems in General Health Centre has reported the prevalence of chronic pain across 15 centers in 14 countries (including India) to be 22% (range 5–33%) [4]. A systematic review on prevalence of chronic pain in developing countries including studies in general population reported a rate of 18% [38]. Reporting of higher rates are also not uncommon with 42% of German primary care attendees reporting chronic pain [39]. Existing studies from India among smaller samples which examined patients from a single primary health centre [12] or in urban population [11, 13] have reported rates of 13–29%. Studies done in India have reported whole body ache and pain in extremities as the most common sites of pain [1012], which is similar to our study findings.

Our study replicated the consistent association of chronic pain with older age [1416, 40]. Subjects who are older are more likely to have physical and mental comorbidities, all of which were independently associated with chronic pain. Increasing age is also associated with a higher likelihood of having experienced an injury [14]. Female subjects in our study had a higher prevalence of chronic pain, as reported prior [1416, 4144]. Both biological and psychosocial factors have been reported to contribute to the greater reporting of chronic pain among women. While the mechanisms remain to be clarified, various studies have reported lower-pain thresholds, maladaptive coping, with some evidence of the role of estrogen and genetics, to explain this heightened risk [14, 4144]. Our study did not find any relationship of chronic pain with socioeconomic status. However, our subjects with lower education had a higher risk of reporting chronic pain, with previous studies suggesting that chronic pain was correlated with lower education, income inequalities, and neighborhood deprivation [14, 45]. Our patients who were living alone were more likely to report chronic pain. Robust links have been reported between loneliness, pain, and depression [46]. Our subjects with chronic pain had poor life satisfaction and higher disability scores as has been reported in previous studies [15, 17].

Our subjects with chronic pain, had high rates of comorbidity with chronic physical illnesses and mental health conditions. High rates of comorbidity have been consistently reported in previous studies and has been associated with poorer outcomes and greater disability [20, 21, 4749]. More concerning was the finding that approximately one in three of our patients with chronic pain had multimorbidity. Multimorbidity is associated with increased health care utilization, complex pharmacological regimes, higher costs, poorer recovery and higher mortality [50].

To disentangle the effect of various co-occurring conditions on chronic pain we have taken two approaches. The first, we assumed that the pathophysiological effects of a specific disorder on chronic pain can be estimated after controlling the differential effects of other coexisting disorders. In the second, we assumed the effects of pathophysiology of a single disease on chronic pain is better discerned after adjusting cumulative effect of number of disorder and their interactions. Both these approaches have been attempted in the past and has its votaries and disadvantages [51]. Given this, we have attempted to disentangle whether each of the examined conditions have independent effects using both methods.

In doing so, among the most commonly encountered physical illness among our primary care attendees, we report that hypertension, diabetes mellitus, tuberculosis, arthritis, asthma and others (residual category of varying chronic physical conditions grouped together) to have independent effects. Similarly, when mental health conditions were examined, depression, anxiety and tobacco use had independent association. Our findings are robust as we could replicate it at all stages of our stepwise approach to control for socio-demographic factors, physical/mental illness load and interaction between physical and mental illness. Further, the results held true when we controlled for occurrence of individually co-occurring physical/mental health conditions. The increased expression of chronic pain with an increased number of physical disorders and mental health conditions suggests an additive effect. The strength of association of pain with the examined individual disorders varied in each step of the logistic regression analysis possibly implying that the expression of chronic pain is influenced by biological, psychological, and social factors that may have both independent, additive, and interaction effects.

Subjects with arthritis had the highest odds of reporting chronic pain among our primary care patients. Chronic pain is common among subjects with arthritis being closely linked to disability, functional recovery and quality of life [52]. Both central and peripheral pain mechanisms have been reported to mediate expression of pain in patients with arthritis [53]. The independent association of diabetes mellitus and hypertension with chronic pain among our patients have been reported prior [54, 55]. Shared risk factors of obesity, low levels of physical activity, poor muscle mass and low-grade systemic inflammation help explain this association. In addition in hypertension, it has been hypothesized that mechanisms impaired in chronic pain dysregulate both pain responsiveness and blood pressure [56]. Tuberculosis, common among our primary care patients, was associated with chronic pain. In addition to chronic pain being the presenting symptom in musculoskeletal manifestations of tuberculosis, pain can also be the side-effect of certain anti-tubercular drugs [57, 58]. Another disorder which had independent association with chronic pain in most of our examined models with chronic pain was asthma. This finding has been reported prior, with breathlessness and consequent overuse of muscles involved in breathing heightening the experience of pain [59]. In variance to prior studies, our patients with chronic pain did not report an association with chronic dermatological conditions and epilepsy [60, 61]. The association of chronic pain have been reported with specific dermatological conditions like psoriasis, suggesting that our assessment by grouping all chronic dermatological conditions as a single entity may have not have appropriate to examine this relationship [60]. We speculate that patients attending primary care and self-reporting epilepsy may have been regularly on anti-epileptic medications which are by themself useful in chronic pain thus reducing its likelihood. Studies reporting the association of epilepsy with chronic pain have reported physical inactivity, bone injuries and high co-occurrence of migraine to mediate the relationship between epilepsy and chronic pain [61].

Among our subjects with chronic pain, depression and anxiety disorders had independent effects after controlling for confounding variables, including co-occurring physical and mental illness. The strength of the association was stronger for depression when compared to anxiety. In non-psychiatric clinical settings, including primary care, the predominant presentation is often an admixture of both anxiety and depressive symptoms. A strict syndromic separation may not be possible or appropriate. Hence our strategy of simultaneously examining both disorders and statistically controlling the occurrence of each other has improved the robustness of the finding of both its independent effects and relative strength of association. Presence of chronic pain with depressive and anxiety disorders has been commonly reported before to poorer outcomes and greater disability [4, 49, 6264]. The significant association of our subjects with chronic pain to tobacco dependence replicates similar findings [65, 66]. A number of mechanisms, including self-medication, have been explained to understand the association of chronic pain and tobacco use [66]. Among our subjects, alcohol hazardous use was not associated with chronic pain. This contradicts previous studies which have reported a relationship [6770]. Our sample was predominantly female and in India, alcohol use among females use is less than 5% [71]. This possibly explains the limited number of hazardous users among our subjects and the lack of association with alcohol use in our study. Most studies to date have examined the relationship one or a few major mental illnesses with chronic pain and have reported association [3, 23, 43]. The findings of common co-occurrence, multimorbidity and independent effects need to be highlighted as the evaluation and detection of psychiatric comorbidity in primary care remains limited, with the non-detection rate of up to 60% [72].

The study findings have important public health implications for India. The global burden of diseases has reported pain, and pain-related disorders are among the leading causes of current and future disability globally. The direct and indirect costs of pain have not been estimated in India, but annual costs estimated in the USA are huge at $560–$635 billion [7375]. Given that the prevalence estimates and correlates of chronic pain reported in this study are consistent with those noted in other studies mostly from high-income countries, the outcome variables, both individual and social, at least on some levels may have similar costs. If so, the Indian public health system is ill-equipped to address this issue. The shortfall of required human resources means that the consultations time is brief [28]. This will invariably create gaps in recognizing and diagnosing comorbidities, both physical and mental, which will impede progress in pain management. Health administrators in India need to consider development of stepped care and collaborative care models for the management of chronic pain in primary care. Training nurses and other non-medical health care professionals in primary care for initial comprehensive assessment may help. Greater awareness and improving competency among primary care physicians of comorbid patterns especially mental health issues is required. The establishment of pain clinics in tertiary health care institutions need to be considered as a priority.

The study had its limitations. The study was cross-sectional; hence causality has not been inferred. Only a limited number of medical illnesses, which were deemed by consensus to be commonly occurring in our general practices, were examined. Important covariates like treatment variables were not examined. Only limited questions were used to assess life-satisfaction. Assessment of mental illness was using validated screening instruments. We acknowledge that screening questionnaires are not sufficient for diagnosis but identifies the major symptoms with the cut-off score approximating the diagnosis. However, we examined a large sample from multiple institutions using structured instrument validated in primary care. In addition to examining multiple physical and mental illness simultaneously, we statistically controlled for co-occurrence of other physical and mental illness, making it possible to report the independent relationship of various commonly occurring comorbidities with pain robustly.

Conclusions

Chronic pain is common among primary care patients in Kerala, India. It is independently associated with a range of medical and mental health conditions. The strength of association varied, with a higher disability and additive effect with increasing number of physical and mental co-morbidities. Addressing this is thus a priority, with policy level strategies which takes into account the resource constrained primary health care settings. Stepped care and collaborative care approaches involving nurses and non-medical health care professionals need to be considered. The is also a need to improve awareness and competency of primary health care doctors in managing pain as an independent disorder, or as symptom of underlying illness, with its associated physical and mental health comorbidity.

References

  1. 1. Merskey H, Bogduk N. IASP Task Force on Taxonomy. Classification of chronic pain. The International Association for the Study of Pain. 1994.
  2. 2. Okifuji A, Turk D, Loeser J, Butler S, Chapman C. Pain Terms and taxonomies of pain. Bonica’s Management of Pain. Baltimore: Lippincott Williams & Wilkins. 2001:17–25.
  3. 3. Tsang A, Von Korff M, Lee S, Alonso J, Karam E, Angermeyer MC, et al. Common Chronic Pain Conditions in Developed and Developing Countries: Gender and Age Differences and Comorbidity With Depression-Anxiety Disorders. J Pain. 2008;9:883–91. pmid:18602869
  4. 4. Gureje O, Von Korff M, Simon GE, Gater R. Persistent pain and well-being: a World Health Organization study in primary care. JAMA. 1998; 280:147–51. pmid:9669787
  5. 5. Verhaak PFM, Kerssens JJ, Dekker J, Sorbi MJ, Bensing JM. Prevalence of chronic benign pain disorder among adults: A review of the literature. Pain 1998; 77: 231–9. pmid:9808348
  6. 6. Breivik H, Collett B, Ventafridda V, Cohen R, Gallacher D. Survey of chronic pain in Europe: Prevalence, impact on daily life, and treatment. Eur J Pain 2006; 10:287–287. pmid:16095934
  7. 7. Fayaz A, Croft P, Langford RM, Donaldson LJ, Jones GT. Prevalence of chronic pain in the UK: a systematic review and meta-analysis of population studies. BMJ Open 2016; e010364. pmid:27324708
  8. 8. 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;11:1230–9. pmid:20797916
  9. 9. Yeo SN, Tay KH. Pain prevalence in Singapore. Ann Acad Med Singapore 2009;38(11):937–42. pmid:19956814
  10. 10. Chaturvedi SK. Prevalence of chronic pain in psychiatric patients. Pain. 1987 May 1;29(2):231–7. pmid:3614960
  11. 11. Dureja GP, Jain PN, Shetty N, Mandal SP, Prabhoo R, Joshi M, et al. Prevalence of Chronic Pain, Impact on Daily Life, and Treatment Practices in India. Pain Pract. 2014; 14:E51–62. pmid:24304963
  12. 12. Deshpande A. Prevalence of chronic pain based on primary health center data from a city in central India. Indian J Pain. 2018;32:81.
  13. 13. Saxena AK, Jain PN, Bhatnagar S. The prevalence of chronic pain among adults in India. Indian J Palliat Care. 2018;24:472–7. pmid:30410260
  14. 14. Mills SE, Nicolson KP, Smith BH. Chronic pain: a review of its epidemiology and associated factors in population-based studies. Br J Anaesthesia. 2019;123:e273–83. pmid:31079836
  15. 15. Brekke M, Hjortdahl P, Kvien TK. Severity of musculoskeletal pain: Relations to socioeconomic inequality. Soc Sci Med. 2002;54:221–8. pmid:11824927
  16. 16. van Hecke O, Torrance N, Smith BH. Chronic pain epidemiology and its clinical relevance. Br J Anaesth. 2013;111:13–8. pmid:23794640
  17. 17. Blyth FM, Huckel Schneider C. Global burden of pain and global pain policy—creating a purposeful body of evidence. Pain. 2018;159:S43–8. pmid:30113946
  18. 18. Poleshuck EL, Green CR. Socioeconomic disadvantage and pain. Pain. 2008; 136: 235–8. pmid:18440703
  19. 19. Elliott AM, McAteer A, Hannaford PC. Revisiting the symptom iceberg in today’s primary care: results from a UK population survey. BMC Fam Pract. 2011;12:16. pmid:21473756
  20. 20. Von Korff M, Crane P, Lane M, Miglioretti DL, Simon G, Saunders K, et al. Chronic spinal pain and physical-mental comorbidity in the United States: Results from the national comorbidity survey replication. Pain. 2005;113:331–9. pmid:15661441
  21. 21. Dominick CH, Blyth FM, Nicholas MK. Unpacking the burden: Understanding the relationships between chronic pain and comorbidity in the general population. Pain. 2012 Feb;153:293–304. pmid:22071318
  22. 22. Lee H, Hübscher M, Moseley GL, Kamper SJ, Traeger AC, Mansell G, et al. How does pain lead to disability? A systematic review and meta-analysis of mediation studies in people with back and neck pain. Pain. 2015; 156: 988–97 pmid:25760473
  23. 23. Burke AL, Mathias JL, Denson LA. Psychological functioning of people living with chronic pain: A meta‐analytic review. Br J Clin Psychol. 2015;54:345–60. pmid:25772553
  24. 24. Boakye PA, Olechowski C, Rashiq S, Verrier MJ, Kerr B, Witmans M, et al. A critical review of neurobiological factors involved in the interactions between chronic pain, depression, and sleep disruption. Clin J Pain. 2016;32: 327–36. pmid:26035521
  25. 25. World Health Organization. ICD 11. [cited 2020 Jan 7]. Available from: https://www.who.int/classifications/icd/revision/en/
  26. 26. Smith BH, Torrance N. Management of chronic pain in primary care. Curr Opin Support Palliat Care. 2011; 5:137–42. pmid:21415754
  27. 27. France EF, Wyke S, Gunn JM, Mair FS, McLean G, Mercer SW. Multimorbidity in primary care: a systematic review of prospective cohort studies. Br J Gen Pract. 2012;62: e297–307. pmid:22520918
  28. 28. Irving G, Neves AL, Dambha-Miller H, Oishi A, Tagashira H, Verho A, et al. International variations in primary care physician consultation time: A systematic review of 67 countries. BMJ Open. 2017; 7: e017902 pmid:29118053
  29. 29. Salvi S, Apte K, Madas S, Barne M, Chhowala S, Sethi T et al. Symptoms and medical conditions in 204 912 patients visiting primary health-care practitioners in India: a 1-day point prevalence study (the POSEIDON study). Lancet Glob Health 2015; 3: pp. e776–e784. pmid:26566749
  30. 30. Patel V: The epidemiology of Common Mental Disorders in South Asia. NIMHANS Jnl. 1999, 17: 307–327
  31. 31. Gautham MS, Gururaj G, Varghese M, Benegal Rao GN, Kokane A et al,. The National Mental Health Survey of India (2016): Prevalence, socio-demographic correlates and treatment gap of mental morbidity. Int J Soc Psychiatry. 2020, p.0020764020907941.
  32. 32. Kroenke K, Spitzer RL, Williams JBW, Löwe B. The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: A systematic review. Gen Hosp Psychiatry. 2010; 32:345–59. pmid:20633738
  33. 33. Katz J, Rosenbloom BN, Fashler S. Chronic Pain, Psychopathology, and DSM-5 Somatic Symptom Disorder. Can J Psychiatry 2015; 60:160–7. pmid:26174215
  34. 34. Saunders JB, Aasland OG, Babor TF, De La Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption-II. Addiction. 1993; 88:791–804. pmid:8329970
  35. 35. Heatherton TF, Kozlowski LT, Frecker RC, Fagerstrom KO. The Fagerström test for nicotine dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br J Addcit 1991;86: 1119–27. pmid:1932883
  36. 36. Üstün T, Chatterji S, Kostanjsek N, Rehm J, Kennedy C, Epping-Jordan J, et al. Developing the World Health Organization disability assessment schedule 2.0. Bull World Health Organ. 2010;88:815–23. pmid:21076562
  37. 37. Harper A, Power M, Orley J, Herrman H, Schofield H, Murphy B, et al. Development of the World Health Organization WHOQOL-BREF Quality of Life Assessment. Psychol Med. 1998;28:551–8. pmid:9626712
  38. 38. Sá KN, Moreira L, Baptista AF, Yeng LT, Teixeira MJ, Galhardoni R, et al. Prevalence of chronic pain in developing countries: systematic review and meta-analysis. Pain Reports. 2019;4(6). pmid:31984290
  39. 39. Frießem CH, Willweber-Strumpf A, Zenz MW. Chronic pain in primary care. German figures from 1991 and 2006. BMC Public Health. 2009;9(1):299. pmid:19689810
  40. 40. Bucket MC, Mao J. Chronic Pain in Older Adults. Anesthesiol Clinic 2015; p. 577–90.
  41. 41. Greenspan JD, Craft RM, LeResche L, Arendt-Nielsen L, Berkley KJ, Fillingim RB, et al. Studying sex and gender differences in pain and analgesia: A consensus report. Pain. 2007; 132: S26–45. pmid:17964077
  42. 42. Craft RM. Modulation of pain by estrogens. Pain. 2007;132: S3–12. pmid:17951003
  43. 43. El-Shormilisy N, Strong J, Meredith PJ. Associations among gender, coping patterns and functioning for individuals with chronic pain: a systematic review. Pain Res Manag 2015;20: 48–55. pmid:24927488
  44. 44. Meng W, Deshmukh HA, Donnelly LA, Micro S, Torrance N, Colhoun HM, et al. Wellcome Trust Case Control Consortium 2 (WTCCC2. A genome-wide association study provides evidence of sex-specific involvement of Chr1p35. 1 (ZSCAN20-TLR12P) and Chr8p23. 1 (HMGB1P46) with diabetic neuropathic pain. EBioMedicine. 2015;2: 1386–93. pmid:26629533
  45. 45. Jordan K, Thomas E, Peat G, Wilkie R, Croft P. Social risks for disabling pain in older people: a prospective study of individual and area characteristics. Pain 2008; 137: 652e66 pmid:18434022
  46. 46. Jaremka LM, Andridge RR, Fagundes CP, Alfano CM, Povoski SP, Lipari AM, et al. Pain, depression, and fatigue: loneliness as a longitudinal risk factor. Health Psychol. 2014;33: 948. pmid:23957903
  47. 47. Pinto-Meza A, Serrano-Blanco A, Codony M, Reneses B, von Korff M, Haro JM, et al. Prevalence and physical-mental comorbidity of chronic back and neck pain in Spain: results from the ESEMeD Study. Medicina clinica. 2006;127:325. pmid:16987451
  48. 48. Ohayon MM, Stingl JC. Prevalence and comorbidity of chronic pain in the German general population. Journal of psychiatric research. 2012;46: 444–50. pmid:22265888
  49. 49. Xu Y, Wang Y, Chen J, He Y, Zeng Q, Huang Y, et al. The comorbidity of mental and physical disorders with self-reported chronic back or neck pain: Results from the China Mental Health Survey. J Affect Disord. 2020;260:334–41. pmid:31521871
  50. 50. Marengoni A, Angleman S, Melis R, Mangialasche F, Karp A, Garmen A et al. Aging with multimorbidity: a systematic review of the literature. Ageing Res Rev. 2011;10:430–9. pmid:21402176
  51. 51. Scherer M, Hansen H, Gensichen J, Mergenthal K, Riedel-Heller S, Weyerer S et al. Association between multimorbidity patterns and chronic pain in elderly primary care patients: a cross-sectional observational study. BMC family practice. 2016 Dec;17(1):1–8. pmid:27267905
  52. 52. Khaltaev N, Pfleger B, Woolf AD, Mathers C, Akesson K, Hazes JM, et al. Assessing the burden of musculoskeletal conditions: a joint World Health Organization-bone and joint decade project. Arthritis Res Ther 2003;5(suppl 3): 174.
  53. 53. Lee YC, Nassikas NJ, Clauw DJ. The role of the central nervous system in the generation and maintenance of chronic pain in rheumatoid arthritis, osteoarthritis and fibromyalgia. Arthritis research & therapy. 2011 Apr 1;13(2):211. pmid:21542893
  54. 54. Kilcoyne J, Starkweather A. Underlying Mechanisms and Advances in Management of Chronic Pain in Diabetes Mellitus. Topics in Pain Management. 2020;36(3):1–8.
  55. 55. Pozzobon D, Ferreira PH, Dario AB, Almeida L, Vesentini G, Harmer AR et al. Is there an association between diabetes and neck and back pain? A systematic review with meta-analyses. PloS one. 2019;14(2): e0212030. pmid:30789940
  56. 56. Bruehl S, Chung OY, Jirjis JN, Biridepalli S. Prevalence of clinical hypertension in patients with chronic pain compared to nonpain general medical patients. The Clinical journal of pain. 2005 Mar 1;21(2):147–53. pmid:15722808
  57. 57. Ramachandran G, Swaminathan S. Safety and tolerability profile of second-line anti-tuberculosis medications. Drug safety. 2015 Mar 1;38(3):253–69. pmid:25676682
  58. 58. Gupta N, Bhatnagar AK. Musculoskeletal manifestations of tuberculosis: An observational study. Fam Med Prim Care Rev. 2018;7(3):538. pmid:30112304
  59. 59. Lunardi AC, Marques da Silva CC, Rodrigues Mendes FA, Marques AP, Stelmach R, Fernandes Carvalho CR. Musculoskeletal dysfunction and pain in adults with asthma. Journal of asthma. 2011;48(1):105–10. pmid:21189115
  60. 60. Dhir V, Aggarwal A. Psoriatic arthritis: a critical review. Clin Rev Allergy Immunol. 2013;44(2):141–8. pmid:22294201
  61. 61. Ottman R, Lipton RB, Ettinger AB, Cramer JA, Reed ML, Morrison A, et al. Comorbidities of epilepsy: results from the Epilepsy Comorbidities and Health (EPIC) survey. Epilepsia. 2011;52(2):308–15. pmid:21269285
  62. 62. Eriksen J, Jensen MK, Sjogren P, Ekholm O, Rasmussen NK. Epidemiology of chronic non-malignant pain in Denmark. Pain 2003;106:221–8. pmid:14659505
  63. 63. Nicolson SE, Caplan JP, Williams DE, Stern TA. Comorbid pain, depression, and anxiety: Multifaceted pathology allows for multifaceted treatment. Vol. 17, Harv Rev Psychiatry. 2009; 17: 407–20. pmid:19968455
  64. 64. Lerman SF, Shahar G, Rudich Z. Self‐criticism interacts with the affective component of pain to predict depressive symptoms in female patients. Euro f Pain. 2012 Jan;16: 115–22. pmid:21664158
  65. 65. Ditre JW, Brandon TH, Zale EL, Meagher MM. Pain, Nicotine, and Smoking: Research Findings and Mechanistic Considerations. Psychol Bull. 2011;137:1065–93. pmid:21967450
  66. 66. Weingarten TN, Shi Y, Mantilla CB, Hooten WM, Warner DO. Smoking and chronic pain: a real-but-puzzling relationship. Minn Med. 2011;94:35–7. pmid:21485923
  67. 67. Martel MO, Shir Y, Ware MA. Substance-related disorders: A review of prevalence and correlates among patients with chronic pain. Prog Neuro Psychoph 2018; 87: 245–54.
  68. 68. Alford DP, German JS, Samet JH, Cheng DM, Lloyd-Travaglini CA, Saitz R. Primary care patients with drug use report chronic pain and self-medicate with alcohol and other drugs. J Gen Intern Med 2016; 31: 486–91. pmid:26809204
  69. 69. Riley J, King C. Self-report of alcohol use for pain in a multi-ethnic community sample. J Pain 2009; 10: 944–52. pmid:19712901
  70. 70. Egli M, Koob GF, Edwards S. Alcohol dependence as a chronic pain disorder. Neurosci Biobehav Rev 2012; 36: 2179–92. pmid:22975446
  71. 71. Benegal V, Nayak M, Murthy P, Chandra P and Gururaj G in Wilsnack R. W., Wilsnack S. Cau., et al. (Eds) (2005). Why study gender, alcohol and culture. Alcohol, gender and drinking problems: Perspectives from low and middle income countries, 1–23.
  72. 72. Staab JP, Datto CJ, Weinrieb RM, Gariti P, Rynn M, Evans DL. Detection and diagnosis of psychiatric disorders in primary medical care settings. Medical Clinics of North America. 2001 May 1;85(3):579–96. pmid:11349474
  73. 73. Vos T, Allen C, Arora M, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990e2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1211–59. pmid:28919117
  74. 74. Gaskin DJ, Richard P: The economic costs of pain in the United States. J Pain 2012; 13:715–724. pmid:22607834
  75. 75. Rice AS, Smith BH, Blyth FM. Pain and the global burden of disease. Pain. 2016;157: 791–6. pmid:26670465