Skip to main content
  • Study protocol
  • Open access
  • Published:

The influence of a biopsychosocial educational internet-based intervention on pain, dysfunction, quality of life, and pain cognition in chronic low back pain patients in primary care: a mixed methods approach

Abstract

Background

Low back pain is the highest reported musculoskeletal problem worldwide. Up to 90 % of patients with low back pain have no clear explanation for the source and origin of their pain. These individuals commonly receive a diagnosis of non-specific low back pain.

Patient education is a way to provide information and advice aimed at changing patients’ cognition and knowledge about their chronic state through the reduction of fear of anticipatory outcomes and the resumption of normal activities. Information technology and the expedited communication processes associated with this technology can be used to deliver health care information to patients. Hence, this technology and its ability to deliver life-changing information has grown as a powerful and alternative health promotion tool.

Several studies have demonstrated that websites can change and improve chronic patients’ knowledge and have a positive impact on patients’ attitudes and behaviors. The aim of this project is to identify chronic low back pain patients’ beliefs about the origin and meaning of pain to develop a web-based educational tool using different educational formats and gamification techniques.

Methods/design

This study has a mixed-method sequential exploratory design. The participants are chronic low back pain patients between 18–65 years of age who are attending a primary care setting. For the qualitative phase, subjects will be contacted by their family physician and invited to participate in a personal semi-structured interview. The quantitative phase will be a randomized controlled trial. Subjects will be randomly allocated using a simple random sample technique. The intervention group will be provided access to the web site where they will find information related to their chronic low back pain. This information will be provided in different formats. All of this material will be based on the information obtained in the qualitative phase. The control group will follow conventional treatment provided by their family physician.

Discussion

The main outcome of this project is to identify chronic low back pain patients’ beliefs about the origin and meaning of pain to develop a web-based educational tool using different educational formats and gamification techniques.

Trial registration

ClinicalTrials.gov NCT02369120 Date: 02/20/2015.

Peer Review reports

Background

Low back pain (LBP) is the most commonly reported musculoskeletal problem in the world [17]. Up to 90 % of these individuals have no clear explanation for the source and origin of their pain and are diagnosed with non-specific LBP. Although LBP is recurrent, a large number of treatments addressing this problem have modest clinical benefits and low adherence [8, 9].

Pain is a multifactorial experience associated with psychological and emotional factors that play important roles in the transition from the acute to chronic states [1012]. Additionally, there is evidence that disability in chronic low back pain (CLBP) patients is caused by fear of injury and pain avoidance and that these chronic patients have high levels of fear-avoidance beliefs [13, 14]. Studies have shown that patients suffering from CLBP have an altered interpretation of their pain based on their assumption of further tissue damage and catastrophic consequences rather than evidence [15, 16].

Compared with patients with acute LBP whose levels of fear-avoidance beliefs (FAB) decrease over time through the healing process, CLBP patients exhibit persistent elevated levels of FABs that remain unchanged [13, 17, 18].

Patient education could be a way to provide information and advice aimed at changing patients’ cognition and knowledge about their chronic state to reduce fear of serious outcomes and allow the resumption of normal activities [1921]. The use of pain neurophysiology as an educational intervention (PNI) has been proven to be effective in pain-related problems other than CLBP [2224]. Other types of patient education include interventions specifically focused on ergonomy and exercises based on anatomic and biomechanical models. In contrast, the neurophysiology of pain as a type of educational intervention for chronic pain patients is focused on describing the mechanisms of peripheral and central processing of the nociceptive signal and explaining how this transmission is modulated by brain processing and influenced by psychosocial factors. Thus, patients learn that the meaning of their pain is not always related to the tissue damage of painful structures. Furthermore, this type of education helps patients reconceptualize their pain, resulting in better functional outcomes and reducing disability and catastrophic thoughts [24].

The use of information and communication technology in health care to deliver information to patients is becoming a powerful tool. The internet is an example of a new technology that is part of our everyday lives. Thanks to the wide spectrum of possibilities that the internet offers, different authors have proposed using it as an important platform to display high-quality interactive evidence-based information [2530]. Other studies have demonstrated that websites can change and improve chronic patients’ knowledge. Importantly, websites can have a positive impact on patients’ attitudes and behavior [25, 3136], especially for physical and mental health problems [26, 3740].

Rationale of the study and study hypothesis

Nine studies [4149] examining the effect of PNI on physical performance, pain cognition and disability in CLBP reported positive effects. However, there was a lack of standardization of the type of information provided. Seven studies provided detailed information concerning the PNI [41, 43, 4549], whereas only five studies specifically addressed the description of the different components of the PNI [43, 4547, 49]. Although promising, there is no strong evidence for the use of PNI for CLBP patients because this evidence has been rated as very low quality by some authors due to the lack of good randomized controlled trials [19, 50]. Moreover, the authors in all of the studies developed the PNI without exploring the needs of CLBP patients. Therefore, the rationale of this protocol is to develop an educational tool focused on of beliefs and knowledge of patients towards their CLBP. This rationale justifies the use of a mixed methodology wherein the authors explore the patients’ beliefs and knowledge about their pain for the subsequent development of an educational patient-centered tool. The authors understand that an educative tool must take into account the patients’ thoughts and beliefs.

Therefore, the main outcome of this project is to identify chronic low back pain patients’ beliefs concerning the origin and meaning of their pain to develop a web-based educational tool using different educational formats and gamification techniques.

The hypotheses being tested by our project are:

  • Persistent chronic low back pain and its consequences are maintained by the lack of understanding of the origin and meaning of pain.

  • Pain neurophysiology as an educational internet-based intervention for chronic low back pain will change cognition about the origin and meaning of pain, with the outcome of pain reduction, disability reduction, and better quality of life compared to normal care.

There are specific objectives for each phase of the study.

Phase 1 (QUAL):

  • To identify chronic low back pain patients’ beliefs concerning the origin and meaning of pain.

Phase 2 (Connecting procedure):

  • To construct and develop a biopsychosocial web-based educational intervention using the QUAL results.

Phase 2 (QUAN):

  • Primary outcome. To evaluate the effect of a biopsychosocial web-based educational intervention for chronic low back pain based on pain intensity compared to normal care.

  • Secondary outcomes. To assess the effect of a biopsychosocial web-based educational intervention for chronic low back pain compared to normal care on:

    • oFear avoidance beliefs.

    • oKinesiophobia.

    • oPain catastrophizing.

    • oDisability.

    • oQuality of life.

One of the utilities of QUAL is to better understand the beliefs of chronic low back pain patients concerning their pain, including the origin and meaning of their pain. This information is paramount not only to aid in the construction of the web site but also for health professionals involved in the diagnosis and treatment of these patients.

If the web-based intervention is found to be successful in modifying CLBP patients’ pain cognition, this will open the possibility of including this web site-based approach in future chronic pain management programs in primary care. Moreover, the web site will be developed with the future aim of including and adding new technologies to help patients and professionals involved in chronic pain.

Methods/design

Ethical issues

The study follows the Declaration of Helsinki and the “Guidelines for Good Clinical Practice” (CPMP/ICH/135/95) and has been approved by the Ethical Committee of Clinical Research in Primary Care IDIAP in Catalonia, Spain (P14/138).

Because our intervention does not involve any physical activity/intervention, we do not expect to have any physical side effects. Patients in the experimental group will be advised to contact their family physician if they experience any physical problems or worsening of their condition. Additionally, all subjects in the experimental group will be able to contact the researchers through the web site.

Study design

To answer the research question, the authors will use a mixed-method sequential exploratory design. The purpose of mixed methodology is not to replace qualitative or quantitative methodologies, but to use the strengths of both while reducing their weaknesses [51]. Specifically, the sequential exploratory design includes an initial qualitative phase followed by a quantitative phase, with the aim of developing an educational tool [52, 53]. In this project, we propose that both phases (qualitative and quantitative) must have the same relevance (QUAL-QUAN) for the development of the educational tool and that the development of the study must be conducted in three stages [54]:

  1. 1.

    Qualitative data collection through semi-structured personal interviews followed by thematic analysis.

  2. 2.

    Construction of the educational tool with the results obtained in the previous step (topics or emerging categories).

  3. 3.

    Analysis of the effectiveness of the educational tool using a randomized controlled trial.

The use of a mixed-method design is fully justified in this protocol because the integration of both methodologies (QUAL-QUAN) occurs when the data from the qualitative phase contribute to the construction of the educational tool [53].

Subjects

The recruitment process will be performed independently in each phase of the study, although in both phases this recruitment process will take place in the same primary care centers in the city of Lleida through family physicians. The inclusion and exclusion criteria are also common to both phases. Prior to the beginning of the first phase, the first author of this study will perform a presentation of the project to the medical and nursing staff in each of the primary care centers involved in the study to ask for their cooperation.

QUAL: In this phase, patients will be recruited by their respective family physicians. Once the physician makes the diagnosis of CLBP and ensures that the individual meets the inclusion and exclusion criteria, the physician informs the patient about the existence of this project and invites him to contact the first author by telephone. If the person agrees to participate in the study, the interview will be scheduled to take place in the Faculty of Nursing and Physiotherapy of the University of Lleida.

QUAN: The recruitment process will start after the end of QUAL and the development of the educational tool. This phase will consist of an educational intervention using a randomized controlled trial design. The recruitment process will be the same as in QUAL. Prior to the beginning of the intervention, the first author will meet the study subjects individually to inform them of the study conditions and provide them with the informed consent form.

Inclusion criteria

  • History of CLBP longer than 6 months.

  • Patients between 18–65 years of age.

  • Able to read, speak and understand Spanish and Catalan.

  • Access to the Internet, a computer or laptop and e-mail address.

  • Accept and sign the informed consent form.

Exclusion criteria

Any red flag condition [55]:

  • Onset age < 20 or > 55 years.

  • Non-mechanical pain (unrelated to time or activity).

  • Thoracic pain.

  • Previous history of carcinoma, steroid use, or HIV infection.

  • Feeling unwell.

  • Weight loss.

  • Widespread neurological symptoms.

  • Structural spinal deformity.

Sample size

QUAL: In this phase, a purposive convenience sample will be used to achieve a representative number of patients with CLBP [56]. To ensure the discursive significance of our results, the sample will include an equal number of subjects from different age groups (18–29 and 30–65), genders, and educational levels.

QUAN: The sample size calculation is based on the study of Ryan et al. [48] and the systematic review of Clarke et al. [50]. From these studies and taking into account other similar studies such as Ostelo and colleagues [57] and Furlan et al. [58], we assume that pain measurement in the patients at baseline will be approximately 50 ± 18 on a scale of 0 to 100. We assume that a reduction of 30 % (15 points) in the pain scale will be sufficient to be considered clinically relevant.

Accepting an alpha risk of 0.05 and a beta risk of 0.2 (statistical power of 80 %), using a two-sided test, and assuming a 20 % withdrawal rate, it will be necessary to include 29 subjects in each group to detect a difference greater than or equal to 15 units (assuming a baseline distribution of 50 ± 18). We assume that there will be a 20 % withdrawal rate.

The researchers will use a simple randomization technique. An external researcher from the Higher Polytechnic School of the University of Lleida will generate the randomization assignment using the STATS® program [59] and keep the assignments on a computer assigned for this study that is inaccessible to the rest of the staff.

Study variables

Pain intensity:

  • -Visual Analog Scale (VAS): This scale was developed by Huskinson in 1976 [60] as a method to measure pain intensity. VAS is an easy, simple and reproducible tool that can be used by the same patient on multiple occasions. The scale consists of a 10-cm line with a description on both extremes. “No pain” is on the far left and “worst pain ever” is on the far right of the scale. For some authors, VAS is the most sensitive measurement in clinical pain research [6062].

  • Cognition:

  • - Fear Avoidance Beliefs Questionnaire (FABQ): The FABQ is a self-reported questionnaire that consists of 16 items about the beliefs of LBP patients on the influence that physical activity and work have on their pain. Each item can be scored from 0 (totally agree) to 6 (totally disagree) [63, 64]. The Spanish version of the FABQ has demonstrated good reliability [65].

  • - Tampa Scale for Kinesiophobia (TSK): This scale is widely used in pain medicine to assess pain-related fear. The Spanish format has 11 items, with each score ranging from 1 (totally disagree) to 4 (totally agree). The Spanish version of the TSK is easy to use, reliable and valid [64].

  • - Pain Catastrophizing Scale (PCS): The PCS was developed in 1995 by Sullivan and colleagues [66] to facilitate research on how catastrophic thinking impacted the patients’ pain experiences. This is a self-administered scale of 13 items that evaluates different aspects of the pain experience, such as rumination, magnification, and helplessness. The PCS uses a 5-point Likert scale to evaluate the items with the end points of 0 (not at all) and 4 (all the time); a score above 30 indicates a clinically relevant level of catastrophizing [66]. This scale has been shown to be adequate in terms of excellent internal consistency in different studies, including Spanish populations [6669].

Disability:

  • - Roland-Morris Questionnaire (RMQ): This is a self-reported questionnaire assessing function and disability. It is an easy instrument for patients with scores ranging from 0 to 24; a change of 4 or more points is considered clinically important [48, 70]. The RMQ is reliable, valid, and adequate to assess disability in patients with LBP [48, 70, 71], and the Spanish version has been successfully validated [71].

Quality of life:

  • - Health Survey SF-36: This questionnaire was developed in 1992 by Ware and Sherbourne [72] to assess the health status in clinical practice and research in the Medical Outcomes Study. It consists of 36 items covering 8 health concepts: physical function, bodily pain, social functioning, vitality, mental health, general health, emotional health, and physical activity. The SF-36 has been used in people over 14 years of age. A high score represents a better quality of life. This questionnaire has been used in multiple studies with different health conditions [73], including chronic low back pain patients [74], and has been validated in Spanish [75].

Other variables:

  • - Other variables will also be measured, including acceptability, patient satisfaction, and the number of times that the information provided in the web site is watched/used by subjects in the experimental group.

Web site development and educational material

Staff of the Higher Polytechnic School of the University of Lleida will assist in the development of the web site and the educational material. Once the results of QUAL have been obtained, the authors will generate a variety of topics related to patients’ misbeliefs about their CLBP. The outcome of the educational material is to answer wrong pain conceptions using the neurophysiology of pain as a starting point. This educational material will be evidence-based and elaborated using understandable language and different formats, including video and 2-3D animation. Therefore, the platform will provide patients with customized tasks that allow them to use the metaphor of the journey (the narrative as a dynamic of the game) to feel that they manage their own path, which will change negative perceptions into positive perceptions about certain actions. At all times, the patients will be able to choose among different information sources, such as videos about the origin of chronic pain, 3D representations of different neurophysiological processes, and FAQs. Additionally, the patients will be able to contact a specialist in the neurophysiology of pain by email or videoconference. Furthermore, to reinforce patients’ motivation and participation, gamification techniques (defined as elements forming part of the design of video games but used in a different context) will be implemented [7678].

The web site will be developed using Drupal as a content management system. Some modules of the management system, including those related to questionnaires and video tutorials, will be modified and adapted to the needs of the project. This will increase the versatility of the platform, resulting in better utilization of the majority of the systems (i.e., the registration modules by adding security for the available data using Advanced Encryption Standard, synchronization, and mass mailing modules).

Data collection

Data collection will be conducted in two phases (QUAL and QUAN).

QUAL: To meet the qualitative objective of this study, the authors will use semi-structured personal interviews because they are very useful for obtaining a better and wider understanding of the issues related to the chronic problem from the patient's perspective [7981]. The interviews will be conducted individually by the first author of the study in Spanish or Catalan (the mother tongue of the interviewer and interviewees), and digitally recorded with the interviewee’s informed written consent. Interviews will take place in the Faculty of Nursing and Physiotherapy of the University of Lleida to generate a neutral and comfortable setting different from the primary care consultation [82]. The interviewer will use an interview guide (see Additional file 1) produced after reviewing the literature and based on the experience and knowledge of the research team. Interviews will be analyzed by the first author using inductive thematic analysis to identify common patterns across the interviews and finally generate potential themes to use in the development of the educational tool [83, 84]. To ensure the rigor and reliability of the material, an independent coder will also analyze the interviews [84], and all of the authors will be involved in the last step of interpreting the data and constructing the web-based educational tool.

QUAN: The intervention will last for two weeks, and variables will be measured pre- and post-test. The researchers based the duration of the intervention on the study of Keulers et al. [85], which had similar characteristics. An external researcher from the Higher Polytechnic School of the University of Lleida will be responsible for the maintenance of the website. Moreover, this external researcher will introduce the data from the subjects and the questionnaires used in this study. The first author of this study will meet with the study subjects to inform them about the study and deliver the informed consent. Once individuals have signed the consent form, they will be given a password to access the web platform at any time from any computer or laptop until the end of the trial. After logging into the website, patients will be asked to fill in the questionnaires. Once this step is completed, subjects from the control group will see a message on the screen asking them to follow the conventional treatment provided by their family physician in primary care, and they will be reminded that in two weeks they must re-access the website to again fill in the questionnaires. This treatment is based on the clinical guidelines of the Catalan Institute of Health. Subjects from the experimental group will see a different message requesting them to access the “educational tool” on the homepage of the website. Only subjects from the experimental group will have access to the educational tool using their personal password. Both groups of subjects will receive two email messages during the study (one two days before the end of the study and the second one the last day) to remind them to fill out the questionnaires again.

Statistical analysis

QUAN: Quantitative variables will be described using the mean, standard deviation, median and interquartile range. The bivariate analysis will be contrasted using the Student’s t-test or Chi-square test or a non-parametric test if a normal distribution cannot be assumed. Pain is the main numeric variable, with a range between 0–100. The differences between groups will be contrasted using the Student’s t-test or the Mann–Whitney test when assuming a non-normal distribution. The statistical analysis will be performed with an alpha of 0.05 using the SPSS and R software.

Possible limitations

One limitation in QUAL is that a single interviewer will perform all interviews and one analyst will perform the initial thematic analysis. Although both the interview and analytic processes will be validated by an external researcher, this may be a source of potential bias. Another limitation may come from the author’s interpretation of the data provided by the subjects of the study; this potential bias will be overcome using triangulation of researchers. The researcher’s perspective can be accepted as rigorous if appropriate tools for appraising quality are used [86, 87]. Moreover, the purpose of this study is not to provide accurate data on CLBP but to contextualize the patients’ perception within their own experience [88, 89] to construct a web-based educational tool.

One of the possible limitations in QUAN is that participants will know which group they are allocated into, making the study blinded only to the researchers. The sample size may represent another limitation. A smaller than expected final sample size increases the likelihood of a type II error and limits the internal validity of the study, leading to inconclusive results.

Regardless, our results will be limited to CLBP patients and will need to be replicated in randomized control trials with a larger sample size.

Finally, there is another possible limitation derived from the use of new technologies. In our project, the web-based intervention will contain educational materials in different formats, such as video, audio, and 3D images. However, as noted by Camerini et al. [90], other alternatives or different formats may be better accepted by subjects in the experimental group, thereby improving their experience.

Discussion

This study will use mixed methods to identify chronic low back pain patients´ beliefs about the origin and meaning of pain to develop a web-based educational tool using different educational formats and gamification techniques. Stage one of the study will identify chronic low back pain patients´ beliefs concerning the origin and meaning of pain using qualitative data collection through semi-structured personal interviews. Stage two of the study will allow the construction of the educational tool with the results obtained in the previous stage (topics or emerging categories). Stage three of the study will analyze the effectiveness of the educational tool using a randomized controlled trial.

Our investigation will open the possibility of including this web site-based approach in future chronic pain management programs in primary care. Moreover, the web site will be developed with the future aim of including and adding new technologies to help patients and professionals involved in chronic pain.

Abbreviations

LBP:

Low back pain

CLBP:

Chronic low back pain

FAB:

Fear-avoidance beliefs

PNI:

Pain neurophysiology as an educational intervention

P1:

Phase 1

P2:

Phase 2

IDIAP:

Clinical Research in Primary Care

VAS:

Visual Analog Scale

FABQ:

Fear Avoidance Beliefs Questionnaire

TSK:

Tampa Scale for Kinesiophobia

PCS:

Pain Catastrophizing Scale

RMQ:

Roland-Morris Questionnaire

References

  1. Deyo RA, Mirza SK, Martin BI. Back pain prevalence and visit rates: Estimates from U.S. national surveys, 2002. Spine (Phila Pa 1976). 2006;31(23):2724–7.

    Article  Google Scholar 

  2. Woolf AD, Pfleger B. Burden of major musculoskeletal conditions. Bull World Health Organ. 2003;81(9):646–56.

    PubMed  PubMed Central  Google Scholar 

  3. Hoy D, Bain C, Williams G, March L, Brooks P, Blyth F, et al. A systematic review of the global prevalence of low back pain. Arthritis Rheum. 2012;64(6):2028–37.

    Article  PubMed  Google Scholar 

  4. Woolf AD, Erwin J, March L. The need to address the burden of musculoskeletal conditions. Best Pract Res Clin Rheumatol. 2012;26(2):183–224.

    Article  PubMed  Google Scholar 

  5. 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(11):1230–9.

    Article  PubMed  Google Scholar 

  6. Langley PC, Ruiz-Iban MA, Molina JT, De Andres J, Castellón JRG-E. The prevalence, correlates and treatment of pain in Spain. J Med Econ. 2011;14(3):367–80.

    Article  PubMed  Google Scholar 

  7. Langley PC. The prevalence, correlates and treatment of pain in the European Union. Curr Med Res Opin. 2011;27(2):463–80.

    Article  CAS  PubMed  Google Scholar 

  8. Maetzel A, Li L. The economic burden of low back pain: A review of studies published between 1996 and 2001. Best Pract Res Clin Rheumatol. 2002;16(1):23–30.

    Article  PubMed  Google Scholar 

  9. Asche CV, Kirkness CS, McAdam-Marx C, Fritz JM. The societal costs of low back pain: Data published between 2001 and 2007. J Pain Palliat Care Pharmacother. 2007;21(4):25–33.

    PubMed  Google Scholar 

  10. Lundberg M, Frennered K, Hägg O, Styf J. The Impact of Fear-Avoidance Model Variables on Disability in Patients With Specific or Nonspecific Chronic Low Back Pain. Spine (Phila Pa 1976). 2011;36(19):1547–53.

    Article  Google Scholar 

  11. Turk DC, Okifuji A. Psychological factors in chronic pain: Evolution and revolution. J Consult Clin Psychol. 2002;70(3):678–90.

    Article  PubMed  Google Scholar 

  12. McCracken LM, Gross RT. Does anxiety affect coping with chronic pain? Clin J Pain. 1993;9(4):253–9.

    Article  CAS  PubMed  Google Scholar 

  13. Rainville J, Smeets RJEM, Bendix T, Tveito TH, Poiraudeau S, Indahl AJ. Fear-avoidance beliefs and pain avoidance in low back pain--translating research into clinical practice. Spine J. 2011;11(9):895–903.

    Article  PubMed  Google Scholar 

  14. Verbunt JA, Seelen HA, Vlaeyen JW, van der Heijden GJ, Knottnerus JA. Fear of injury and physical deconditioning in patients with chronic low back pain. Arch Phys Med Rehabil. 2003;84(8):1227–32.

    Article  PubMed  Google Scholar 

  15. Arntz A, Claassens L. The meaning of pain influences its experienced intensity. Pain. 2004;109(1):20–5.

    Article  PubMed  Google Scholar 

  16. Vlaeyen JW, Linton SJ. Fear-avoidance and its consequences in chronic musculoskeletal pain: a state of the art. Pain. 2000;85(3):317–32.

    Article  CAS  PubMed  Google Scholar 

  17. Grotle M, Vøllestad NK, Veierød MB, Brox JI. Fear-avoidance beliefs and distress in relation to disability in acute and chronic low back pain. Pain. 2004;112(3):343.

    Article  PubMed  Google Scholar 

  18. Newcomer KL, Shelerud RA, Vickers Douglas KS, Larson DR, Crawford BJ. Anxiety levels, fear-avoidance beliefs, and disability levels at baseline and at 1 year among subjects with acute and chronic low back pain. J Inj Funct Rehabil. 2010;2(6):514–20.

    Article  Google Scholar 

  19. Engers AJ, Jellema P, Wensing M, van der Windt DA, Grol R, van Tulder MW. Individual patient education for low back pain. Cochrane Database Syst Rev. 2008;1.

  20. Van den Borne HW. The patient from receiver of information to informed decision-maker. Patient Educ Couns. 1998;34(2):89–102.

    Article  PubMed  Google Scholar 

  21. Cherkin DC, Deyo RA, Street JH, Hunt M, Barlow W. Pitfalls of Patient Education: Limited Success of a Program for Back Pain in Primary Care. Spine (Phila Pa 1976). 1996;21(3):345–55.

    Article  CAS  Google Scholar 

  22. Van Oosterwijck J, Nijs J, Meeus M, Truijen S, Craps J, Van den Keybus N, et al. Pain neurophysiology education improves cognitions, pain thresholds, and movement performance in people with chronic whiplash: A pilot study. J Rehabil Res Dev. 2011;48(1):43.

    Article  PubMed  Google Scholar 

  23. Meeus M, Nijs J, Hamers V, Ickmans K, van Oosterwijcks J. The efficacy of patient education in whiplash associated disorders: A systematic review. Pain Physician. 2012;15(5):351–61.

    PubMed  Google Scholar 

  24. Louw A, Diener I, Butler DS, Puentedura EJ. The effect of neuroscience education on pain, disability, anxiety, and stress in chronic musculoskeletal pain. Arch Phys Med Rehabil. 2011;92(12):2041–56.

    Article  PubMed  Google Scholar 

  25. Caiata M, Schulz PJ. Potentialities and limits of Internet health communication in chronic care: results from a qualitative study. Soc Semiot. 2010;20(1):61–75.

    Article  Google Scholar 

  26. Rini C, Williams DA, Broderick JE, Keefe FJ. Meeting them where they are: Using the Internet to deliver behavioral medicine interventions for pain. Transl Behav Med. 2012;2(1):82–92.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Eysenbach G. The Impact of the Internet on Cancer Outcomes. CA Cancer J Clin. 2003;53(6):356–71.

    Article  PubMed  Google Scholar 

  28. Kerr C, Murray E, Stevenson F, Gore C, Nazareth I. Internet interventions for long-term conditions: patient and caregiver quality criteria. J Med Internet Res. 2006;8(3), e13.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Lasker JN, Sogolow ED, Sharim RR. The Role of an Online Community for People With a Rare Disease: Content Analysis of Messages Posted on a Prymary Biliary Cirrhosis Mailinglist. J Med Internet Res. 2005;7(1), e10.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Bayliss EA, Ellis JL, Steiner JF. Barriers to Self-Management and Quality-of-Life Outcomes in Seniors. Ann Fam Med. 2007;5(5):395–402.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Lorig KR, Laurent DD, Deyo RA, Marnell ME, Minor MA, Ritter PL. Can a Back Pain E-mail Discussion Group improve health status and lower health care costs?: A randomized study. Arch Intern Med. 2002;162(7):792–6.

    Article  PubMed  Google Scholar 

  32. Høybye MT, Johansen C, Tjørnhøj‐Thomsen T. Online Interaction. Effects of Storytelling in an Internet Breast. Psychooncology. 2005;14(3):211–20.

    Article  PubMed  Google Scholar 

  33. Murray E, Burns J, See Tai S, Lai R, Nazareth I. Interactive Health Communication Applications for people with chronic disease. Cochrane Database Syst Rev. 2005;4.

  34. Shigaki CL, Smarr KL, Gong Y, Donovan-Hanson K, Siva C, Johnson RA, et al. Social interactions in an online self-management program for rheumatoid arthritis. Chronic Illn. 2008;4(4):239–46.

    Article  PubMed  Google Scholar 

  35. Weinert C, Cudney S, Hill WG. Rural women, technology, and self-management of chronic illness. Can J Nurs Res. 2009;40(3):114–34.

    Google Scholar 

  36. Berman RLH, Iris MA, Bode R, Drengenberg C. The effectiveness of an online mind-body intervention for older adults with chronic pain. J Pain. 2009;10(1):68–79.

    Article  PubMed  Google Scholar 

  37. Andersson G, Bergström J, Carlbring P, Lindefors N. The use of the Internet in the treatment of anxiety disorders. Curr Opin Psychiatry. 2005;18(1):73–7.

    PubMed  Google Scholar 

  38. Andersson G, Bergström J, Holländare F, Carlbring P, Kaldo V, Ekselius L. Internet-based self-help for depression: Randomised controlled trial. Br J Psychiatry. 2005;187:456–61.

    Article  PubMed  Google Scholar 

  39. Glasgow RE, Boles SM, McKay HG, Feil EG, Barrera M. The D-Net diabetes self-management program: long-term implementation, outcomes, and generalization results. Prev Med (Baltim). 2003;36(4):410–9.

    Article  Google Scholar 

  40. Krishna S, Francisco BD, Balas EA, Konig P, Graff GR, Madsen RW. Internet-Enabled Interactive Multimedia Asthma Education Program: A Randomized Trial. Pediatrics. 2003;111(3):503–10.

    Article  PubMed  Google Scholar 

  41. Moseley L. Combined physiotherapy and education is efficacious for chronic low back pain. Aust J Physiother. 2002;48(4):297–302.

    Article  PubMed  Google Scholar 

  42. Moix J, Cañellas M, Osorio C, Bel X, Girvent F, Martos A. Eficacia de un tratamiento interdisciplinar en pacientes con dolor lumbar. Dolor. 2003;18(3):149–57.

    Google Scholar 

  43. Moseley GL. Joining Forces – Combining Cognition-Targeted Motor Control Training with Group or Individual Pain Physiology Education: A Successful Treatment For Chronic Low Back Pain. J Man Manip Ther. 2003;11(2):88–94.

    Article  Google Scholar 

  44. Moix J, Cañellas M, Girvent F, Martos A, Ortigosa L, Sánchez C, et al. Confirmación de la eficacia de un programa interdisciplinar en pacientes con dolor de espalda crónico. Rev Soc Esp Dolor. 2004;11(3):141–9.

    Google Scholar 

  45. Moseley GL. Evidence for a direct relationship between cognitive and physical change during an education intervention in people with chronic low back pain. Eur J Pain. 2004;8(1):39–45.

    Article  PubMed  Google Scholar 

  46. Moseley GL. Widespread brain activity during an abdominal task markedly reduced after pain physiology education: fMRI evaluation of a single patient with chronic low back pain. Aust J Physiother. 2005;51(1):49–52.

    Article  PubMed  Google Scholar 

  47. Moseley GL, Nicholas MK, Hodges PW. A randomized controlled trial of intensive neurophysiology education in chronic low back pain. Clin J Pain. 2004;20(5):324–30.

    Article  PubMed  Google Scholar 

  48. Ryan CG, Gray HG, Newton M, Granat MH. Pain biology education and exercise classes compared to pain biology education alone for individuals with chronic low back pain: a pilot randomised controlled trial. Man Ther. 2010;15(4):382–7.

    Article  PubMed  Google Scholar 

  49. Louw A, Puentedura EL, Mintken P. Use of an abbreviated neuroscience education approach in the treatment of chronic low back pain: A case report. Physiother Theory Pract. 2012;28(1):50–62.

    Article  PubMed  Google Scholar 

  50. Clarke CL, Ryan CG, Martin DJ. Pain neurophysiology education for the management of individuals with chronic low back pain: systematic review and meta-analysis. Man Ther. 2011;16(6):544–9.

    Article  PubMed  Google Scholar 

  51. Johnson RB, Onwuegbuzie AJ. Mixed Methods Research : A Research Paradigm Whose Time Has Come. Educ Res. 2004;33(7):14–26.

    Article  Google Scholar 

  52. Creswell JW, Klassen AC, Plano Clark VL, Smith KC, for the Office of Behavioral and Social Research. Best practices for mixed methods research in the health sciences [Internet]. August 2011 [cited 2015 Jul 22]. Available from: http://obssr.od.nih.gov/mixed_methods_research

  53. Fetters MD, Curry LA, Creswell JW. Achieving Integration in Mixed Methods Designs-Principles and Practices. Health Serv Res. 2013;48(6 pt2):2134–56.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Hernández R, Fernández C, Baptista M del P. Los métodos mixtos. In: Metodología de la investigación. 5th ed. México: Mc Graw Hill; 2010. p. 544–601.

    Google Scholar 

  55. Koes B, van Tulder M, Thomas S. Diagnosis and treatment of low back pain. BMJ. 2006;332(7555):1430–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Teddlie C, Yu F. Mixed Methods Sampling: A Typology With Examples. J Mix Methods Res. 2007;1(1):77–100.

    Google Scholar 

  57. Ostelo RW, Deyo RA, Stratford P, Waddell G, Croft P, Von Korff M, et al. Interpreting change scores for pain and functional status in low back pain: towards international consensus regarding minimal important change. Spine (Phila Pa 1976). 2008;33(1):90–4.

    Article  Google Scholar 

  58. Furlan AD, Pennick V, Bombardier C, van Tulder M. 2009 updated method guidelines for systematic reviews in the Cochrane Back Review Group. Spine (Phila Pa 1976). 2009;34(18):1929–41.

    Article  Google Scholar 

  59. Hernández R, Fernández C, Baptista M del P. Selección de la muestra. In: Metodología de la Investigación. 5th ed. México: Mc Graw Hill; 2010. p. 170–95.

    Google Scholar 

  60. Serrano-Atero M, Caballero J, Cañas A, Gracía-Saura P, Serrano-Álvarez C, Prieto J. Valoración del dolor (I). Rev Soc Esp Dolor. 2002;9(2):94–108.

    Google Scholar 

  61. Serrano-Atero M, Caballero J, Cañas A, Gracía-Saura P, Serrano-Álvarez C, Prieto J. Valoración del dolor (II). Rev Soc Esp Dolor. 2002;9(2):109–21.

    Google Scholar 

  62. Younger J, McCue R, Mackey S. Pain Outcomes: A Brief Review of Instruments and Techniques. Curr Pain Headache Rep. 2009;13(1):39–43.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Waddell G, Newton M, Henderson I, Somerville D, Main CJ. A Fear-Avoidance Beliefs Questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain. 1993;52(2):157–68.

    Article  CAS  PubMed  Google Scholar 

  64. Gómez-Pérez L, López-Martínez AE, Ruiz-Párraga GT. Psychometric Properties of the Spanish Version of the Tampa Scale for Kinesiophobia (TSK). J Pain. 2011;12(4):425–35.

    Article  PubMed  Google Scholar 

  65. Kovacs FM, Muriel A, Medina JM, Abraira V, Sánchez MDC, Jaúregui JO. Psychometric characteristics of the Spanish version of the FAB questionnaire. Spine (Phila Pa 1976). 2006;31(1):104–10.

    Article  Google Scholar 

  66. Sullivan MJL, Bishop SR, Pivik J. The Pain Catastrophizing Scale: Development and validation. Psychol Assess. 1995;7(4):524–32.

    Article  Google Scholar 

  67. García Campayo J, Rodero B, Alda M, Sobradiel N, Montero J, Moreno S. Validación de la versión española de la escala de la catastrofización ante el dolor (Pain Catastrophizing Scale) en la fibromialgia. Med Clin (Barc). 2008;131(13):487–92.

    Article  Google Scholar 

  68. Zafra AO, Toro EO, Cano LA. Validación de la escala de catastrofismo ante el dolor (Pain Catastrophizing Scale) en deportistas españoles. Cuad Psicol del Deport. 2013;13(1):83–94.

    Article  Google Scholar 

  69. Lami MJ, Martínez MP, Miro E, Sánchez AI. Version espanola de la “escala de catastrofizacion del dolor”: estudio psicometrico en mujeres sanas. Behav Psychol Conduct. 2013;21(1):137–56.

    Google Scholar 

  70. Roland M, Fairbank J. The Roland-Morris Disability Questionnaire and the Oswestry Disability Questionnaire. Spine (Phila Pa 1976). 2000;25(24):3115–24.

    Article  CAS  Google Scholar 

  71. Kovacs FM, Llobera J, Gil Del Real MT, Abraira V, Gestoso M, Fernández C. Validation of the spanish version of the Roland-Morris questionnaire. Spine (Phila Pa 1976). 2002;27(5):538–42.

    Article  Google Scholar 

  72. Ware JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30(6):473–83.

    Article  PubMed  Google Scholar 

  73. Vilagut G, Ferrer M, Rajmil L, Rebollo P, Permanyer-Miralda G, Quintana JM, et al. El Cuestionario de Salud SF-36 español: una década de experiencia y nuevos desarrollos. Gac Sanit. 2005;19(2):135–50.

    Article  PubMed  Google Scholar 

  74. Bronfort G, Bouter LM. Responsiveness of general health status in chronic low back pain: A comparison of the COOP Charts and the SF-36. Pain. 1999;83(2):201–9.

    Article  CAS  PubMed  Google Scholar 

  75. Alonso J, Prieto L, Antó JM. La versión española del SF-36 Health Survey (Cuestionario de Salud SF-36): un instrumento para la medida de los resultados clínicos. Med Clin. 1995;104:771–6.

    CAS  Google Scholar 

  76. Allam A, Kostova Z, Nakamoto K, Schulz PJ. The Effect of Social Support Features and Gamification on a Web-Based Intervention for Rheumatoid Arthritis Patients: Randomized Controlled Trial. J Med Internet Res. 2015;17(1), e14.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Deterding S, Sicart M, Nacke L, O’Hara K, Dixon D. Gamification. using game-design elements in non-gaming contexts. In: Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems - CHI EA’11. New York, New York, USA: ACM Press; 2011. p. 2425.

    Chapter  Google Scholar 

  78. Domínguez A, Saenz-De-Navarrete J, De-Marcos L, Fernández-Sanz L, Pagés C, Martínez-Herráiz JJ. Gamifying learning experiences: Practical implications and outcomes. Comput Educ. 2013;63:380–92.

    Article  Google Scholar 

  79. Briones-Vozmediano E, Vives-Cases C, Ronda-Pérez E, Gil-González D. Patients’ and professionals’ views on managing fibromyalgia. Pain Res Manag. 2013;18(1):19–24.

    Article  PubMed  PubMed Central  Google Scholar 

  80. Pope C, Ziebland S, Mays N. Qualitative research in health care. Analysing qualitative data. BMJ. 2000;320(7227):114–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Fitzpatrick R, Boulton M. Qualitative methods for assessing health care. Qual Saf Heal Care. 1994;3(2):107–13.

    Article  CAS  Google Scholar 

  82. Doody O, Noonan M. Preparing and conducting interviews to collect data. Nurse Res. 2013;20(5):28–32.

    Article  PubMed  Google Scholar 

  83. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77–101.

    Article  Google Scholar 

  84. Vaismoradi M, Turunen H, Bondas T. Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nurs Health Sci. 2013;15(3):398–405.

    Article  PubMed  Google Scholar 

  85. Keulers BJ, Welters CFM, Spauwen PHM, Houpt P. Can face-to-face patient education be replaced by computer-based patient education? A randomised trial. Patient Educ Couns. 2007;67:176–82.

    Article  PubMed  Google Scholar 

  86. Toye F, Barker K. “I cant see any reason for stopping doing anything, but I might have to do it differently” – restoring hope to patients with persistent non-specific low back pain – a qualitative study. Disabil Rehabil. 2012;34(11):894–903.

    Article  PubMed  Google Scholar 

  87. Centre for Reviews and Dissemination. Systematic Reviews - CRD’s guidance for undertaking reviews in healthcare. 3rd ed. University of York: CRD; 2009.

    Google Scholar 

  88. Ladekjaer E, Vinther C, Jensen C. Getting the pain right: how low back pain patients manage and express their pain experiences. Disabil Rehabil. 2013;35(10):819–27.

    Article  Google Scholar 

  89. Carter SM, Little M. Justifying knowledge, justifying method, taking action: epistemologies, methodologies, and methods in qualitative research. Qual Health Res. 2007;17(10):1316–28.

    Article  PubMed  Google Scholar 

  90. Camerini L, Giacobazzi M, Boneschi M, Schulz PJ, Rubinelli S. Design and implementation of a web-based Tailored Gymnasium to enhance self-management of Fibromyalgia. User Model User-adapt Interact. 2011;21(4–5):485–511.

    Article  Google Scholar 

Download references

Acknowledgements

We thank Ms. Carolina Climent Sanz, who provided support and helped in the acquisition of data, and Mr. Jordi Virgili Gomà, who provided technical support in the development of the web site and educational material.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fran Valenzuela-Pascual.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

FV: conceived the study, study design, analysis plan, development of the web-site and educational material, and drafted the manuscript. FM: participated in the design of the study and revised the manuscript for important intellectual content. FC: participated in the design of the study and revised the manuscript for important intellectual content. JB: revised the manuscript for important intellectual content. RMG: participated in the design of the study and the development of the web-site and educational material, and revised the manuscript for important intellectual content. JS: participated in the design of the study and revised the manuscript for important intellectual content. All authors read and approved the final manuscript.

Additional file

Additional file 1:

Interview guide. (PDF 241 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Valenzuela-Pascual, F., Molina, F., Corbi, F. et al. The influence of a biopsychosocial educational internet-based intervention on pain, dysfunction, quality of life, and pain cognition in chronic low back pain patients in primary care: a mixed methods approach. BMC Med Inform Decis Mak 15, 97 (2015). https://doi.org/10.1186/s12911-015-0220-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12911-015-0220-0

Keywords