The Nordic back pain subpopulation program - individual patterns of low back pain established by means of text messaging: a longitudinal pilot study
Chiropractic & Osteopathy volume 17, Article number: 11 (2009)
Non-specific low back pain (LBP) is known to be a fluctuating condition and there is a growing realisation that it consists of different subgroups of patients. The detailed course of pain is not known since traditional methods of data collection do not allow very frequent follow-ups. This is a limitation in relation to identification of subgroups with different course patterns. The objective of this pilot study was to see if it is possible to identify characteristic course-patterns of non-specific LBP in patients treated in a primary care setting.
Patients seeing a chiropractor for a new LBP episode were included after the first consultation and followed for 18 weeks by means of automatic short message service (SMS) received and returned on their mobile phones. Every week they were asked how many days they had experienced LBP in the preceding week. The course of pain was studied for each individual and described as an early course (1st - 4th week) and a late course (5th - 18th week), which was fitted into one of 13 predefined course patterns.
A total of 110 patients were included from 5 chiropractic clinics, and the study sample consisted of the 78 patients who participated at least until week 12. Nine of the predefined patterns were identified within this population. The majority of patients improved within the first four weeks (63%), and such early improvement was associated with a generally favourable course.
Patients with nonspecific LBP were shown to have a number of different course-patterns. The next step is to explore whether the identified patterns relate to different LBP diagnoses.
Despite numerous studies into risk factors for developing [1–4] or not recovering  from non-specific low back pain (LBP) there has been no real breakthrough in relation to its causes. Without knowledge of the causes it is not surprising that the various treatment approaches have also failed to produce any outstanding results [6–10]. One reason for this lack of progress might be that the traditional methodological approach is to consider LBP as a condition with a well-defined course, resembling that of many other diseases with an acute course which for some people may develop into a sub-acute or even a chronic stage. However, it has more recently become apparent that LBP is an episodic or fluctuating condition for many patients [11–15], meaning that we do not really know when the problem starts and when it ends. This fact needs to be taken into account when studying causes and treatment effects.
The fluctuating nature of LBP has been established through population-based surveys , in LBP patients responding to a newspaper advertisement , by studying recovery patterns in primary care patients [17, 18], and in workers who have been sick-listed because of back pain [19, 20].
Interestingly, different patterns of recovery have been identified through interviews at up to five points in time  and through monthly surveys  over a one-year period. Such patterns went from large improvement through fluctuating symptoms to continuous pain. In addition, even relatively substantial daily fluctuations have been observed . It seems reasonable that such different course patterns also have different causes and perhaps require different treatment approaches too, and they therefore merit a closer scrutiny.
It has been suggested previously that the identification of distinct subgroups of LBP patients is a necessary step in order to advance our understanding of the causes of LBP and thereby also the indications for treatment as well [21–25]. However, it is difficult to identify subgroups when neither cause nor indications for suitable treatments are well understood. Perhaps the different course patterns that LBP exhibits over time could help identify homogenous subgroups that would have a more clear-cut response to treatment. Moreover it is possible that different course patterns relate to different pain generators. E.g. that a relatively fast recovery is expectable from pain due to simple mechanical dysfunction, whereas it is likely that discogenic pain will improve slower and be fluctuating for some time after the initial improvement.
To be able to identify characteristic course patterns of LBP in more detail it will be necessary to follow persons with LBP frequently and regularly over a long period of time. Spot checks at long intervals using questionnaires or telephone interviews are not suitable because they depend on study subjects having a very reliable long-term memory, and these methods are not feasible for frequent follow-ups. A better method is to use daily pain diaries, providing of course that these are not filled out retrospectively, when it is time to return the diaries. However, both diaries and repeated questionnaires require a fair amount of co-operation from the study subjects and are also relatively expensive.
In order to overcome some of these methodological short-comings and to be able to observe the fluctuations in pain patterns, short message service (SMS) that is automatically sent to respondents' mobile phones has been introduced as a tool for frequent surveillance. By sending standardized questions by text messages to participants and incorporating their replies directly into a data file, it is possible to perform frequent data collection in a cheap and easy way.
The study was conducted as a pilot study and the main objective was to see if it is possible to identify characteristic course-patterns of LBP in patients treated in a primary care setting when collecting self-reported data once a week. Information regarding the number of LBP days the previous week, number of days off work due to LBP, and pain intensity present on the day of the follow-up was gathered over a period of 18 weeks. A secondary objective of the study was to learn about the SMS method both in relation to data collection and in relation to the data analysis.
This was a multi-centre longitudinal observational study.
Patients were recruited by chiropractors in private clinics. Inclusion criteria were: LBP with or without sciatica as the main complaint, 18 - 65 years old and having a mobile phone. Patients were not included if one of the following non-inclusion criteria were present: Previous back surgery, pregnancy, other significant musculoskeletal problems in addition to the LBP, inability to read or speak Danish. Prior to inclusion patients received written and verbal information about the study. The project was presented for the local ethics committee which found that it did not need approval.
Patients who agreed to participate had a standardised clinical examination and were assigned a mechanical diagnosis based upon this . Chiropractors were free to choose whichever type and frequency of treatment they found appropriate and registered what treatment they had initiated.
Follow-up was conducted by means of SMS. Text messages were automatically sent to the participants' mobile phones starting on the first Sunday following inclusion and thereafter repeated every Sunday for 18 weeks. One SMS was sent for each of three follow-up questions, and replies were given by answering each SMS directly on the phone. If the SMS had not been answered on the first-coming Thursday, a reminder was automatically sent. The text message information returned by study participants was automatically incorporated into a data file hosted on a server at the provider of the SMS-track system's office .
Each week participants received three questions to which they sent their answers one by one:
Question 1. Please answer how much your lower back hurts today? Choose a number: 0 = no pain at all/1 = some pain/2 = severe pain
Question 2. Using a number from 0 to 7, please answer how many days you have been bothered by your lower back this week.
Question 3. Using a number from 0 to 7, please answer how many days you have been off work because of your lower back this week. (Answer with X if you are not working)
In a previous report on the same study, it was noted that there were virtually no differences between the patterns for number of days with LBP (questions 2) and severity of pain (question 1) on a group level. Moreover, days off work (question 3) were too infrequent to be suitable for the analysis of course profiles. For these reasons, this report deals only with the number of days that subjects were bothered by their lower back, as reported on a weekly basis.
Data were transmitted from a spread sheet to STATA 10.1 (StataCorp, Texas, USA). When answers other than a number were given, data was recoded as a number when possible, e.g. "I have no pain" was recoded as 0, and "2 days last week" as 2. Answers that could not be transformed directly into a number were coded as missing values. The final study sample consisted of patients who participated at least until the 12th week with no more than two weeks pause in a row.
A plot showing number of days bothered from the lower back (LBP-days) for each week was created for each participant. Based upon knowledge about the importance of the early course of LBP [28–30], it was decided to describe the pain course in two stages: The early course (week 1 - 4) and the later course (week 5 - 18). A previous population-based analysis indicated that the main changes had taken place at the 4th week, justifying this as a suitable cut-point also in this study.
It was hypothesized that the courses could be towards improvement or worsening, could be fluctuating or that no changes would occur. On the basis of this assumption, a visual model for categorising the individual pain courses was defined. The model was tested by the authors separately on 20 curves, after which the model was adjusted until it was possible to fit all curves. The final visual model divided the early course into three groups ("improved", "unchanged" and "worsened"). The later course was described as "mainly recovered", "stays in the initial category", "moves towards mainly improved", "fluctuates", or "moves towards mainly worsened". In total, this resulted in 15 theoretically possible categories. Two of those were left out because the categories "improves and then moves towards mainly improved" and "worsened and then moves towards mainly worsened" would instead appear in those described as "stays in the initial category" (Table 1 and Table 2).
When the model had been finalized, both authors allocated all participants into one of the 13 categories. This resulted in agreement regarding 62/78 = 79.5% of the curves (kappa 0.74; 95% CI 0.68 - 0.78), which is interpret as a substantial agreement . The curves that had been categorized differently by the two authors were re-evaluated and consensus was obtained regarding their allocation. Information on the course patterns in relation to past history, duration of symptoms and the different diagnostic subgroups will be reported elsewhere.
Participants and response rates
Seven female chiropractors with an average of 7.6 years of clinical experience from five chiropractic clinics in Denmark included patients for the study. Six chiropractors had graduated from the University of Southern Denmark and one from the Palmer College, California, USA.
One hundred and ten patients agreed to participate and 101 responded to the first text message. The follow-up rate declined as the study period went on with 86%, 78% and 70% of the participants who answered in week one still responding in weeks 6, 12 and 18 respectively (Fig. 1). A comparison between responders and non-responders revealed that those who dropped out were more likely to be men, present to the chiropractor with acute LBP, and have leg pain in addition to LBP.
The final study sample for the identification of pain patterns consisted of 78 patients (39 men and 39 women, mean age 42.5 years (SD 9.9)). Other characteristics of the study population and the type of treatment initiated at the first visit appear from Table 3. Several treatment modalities were often used in combination. On a group level, the highest mean number of LBP-days was observed in week one and the lowest number in week 11 and week 12 (Fig. 2).
Are there characteristic course patterns?
Description of the early individual course patterns
Of the 78 participants 63% were categorized as improved, 30% as unchanged and 6% as worsened at the end of the 4th week (last column Table 4). Data were missing from one participant who did not answer during the first two weeks.
Description of the late individual course patterns
During the rest of the study period (weeks 5 to 18) 19% of the 78 patients were categorized as mainly recovered, 44% remained in their initial category (improved, unchanged or worsened), 29% moved between categories, and 8% moved from the initial category towards mainly improved, while none moved from improved or unchanged in the early course towards mainly worse (bottom row in Table 4). The subject, whose early course was missing, recovered in the late course.
Description of the total individual course pattern
Nine of the 13 possible course patterns were observed in this study sample (Table 4). Examples of the way the course patterns were plotted appear from Fig. 3. Early improvement that was followed by either full recovery or staying somewhat improved was found in 54% of the population.
The most frequent pattern was early improvement and staying improved as compared to week one but not being totally recovered (40%) Also, the "fluctuating" patterns with patients moving between categories in the late course were frequent (29%).
Four of the hypothesised categories were found to be non-existing: Patients with early worsening did not recover or move to mainly improved; patients who were improved after the 4th week did not move to mainly worse; and patients who were unchanged after 4 weeks did not move to mainly worse.
The 23 patients who were unchanged after the 4th week appeared to have rather unpredictable courses, although none moved to the "mainly worse" category. The five patients who got worse in the early course were most likely to have a fluctuating pattern, and only one patient was classified as getting worse and staying in this category.
Number of LBP days related to the main patterns
The mean total number of LBP-days during the entire follow-up period was 36.2 (SD 28) for the entire population. The total number of LBP days for each course profile is illustrated in Fig. 4. Patients who had early improvement and recovered in the late course had the lowest number of LBP days, followed by patients who were unchanged in the early course to recover in the later period. There was a larger variation within the groups with fluctuating patterns than within the groups that moved to mainly improved or who recovered. Patients who had a LBP pattern of worsening in the early course had the highest number of LBP days in total.
To our knowledge, this study was the first to describe individual pain profiles in LBP based upon weekly follow-ups. We found that distinct patterns exist within non-specific LBP, and that such patterns can be identified even in a small study sample. Obviously, our results do not describe the natural course of LBP since participants received different kinds of manual care during the study period. Instead, our results are probably typical for people who have decided to seek care for their LBP in the primary care sector. Because it was a pilot study with a small study sample any uncommon pain patterns would not have been captured and identified. This would require larger study samples and different settings.
Prior to the data analysis we assumed that thirteen different pain patterns would exist. Nine of these patterns were represented and six of these were fairly frequent. Two extreme groups were identified. One consisted of patients who improved quickly and remained recovered. Not surprisingly, this group had the fewest number of days with LBP in total over the 18 weeks study period. The second group consisted of those who worsened in the early course and thereafter had a fluctuating course. This group had the largest total number of days with LBP in the study period. The least common pattern was early deterioration followed by an unfavorable long-term development. The most common pattern was early improvement followed by a good or a relatively good long-term development.
Most clinicians treating patients with LBP in a primary care setting probably strive for a relatively stable recovery. However, in this study only 19% could be classified as recovered. In fact, our results suggest that clinicians instead should expect that patients exhibit a rather fluctuating course.
In addition this pilot study was designed to find out if the method of collecting data with automatic text messages (SMS-Track) was useful in detecting different course patterns. It seems like weekly monitoring can reveal fluctuations in the course of LBP that might be missed using follow-ups at longer intervals. This perhaps explains why Dunn et al, who studied this subject using monthly questionnaires, noted that 13% of patients with LBP in the primary care sector had a fluctuating pattern whereas our estimate was about twice as high. It would, however, be necessary to study this phenomenon also in other study populations. It has been suggested that LBP status should be measured through number of days in pain over a period rather than counting those still in pain at the end of the period . The SMS-method, as described in our study, would be suitable for this purpose.
Although this method has the obvious strength of being able to collect data while the study subjects still remember the answers, it also has some weaknesses. For example, only few and short questions are suitable for text-messaging and participants must have a mobile phone and know how to use text messaging. On the other hand, our experience with the practical aspects of this method was favorable. The direct incorporation of the respondents' answers into a data file meant that there was no manual entry of data. Hence, human resources were economized and we avoided a potential source of error.
In the present study the main weakness was a poor response rate with only 63% of the participants responding at the last follow-up after 18 weeks. This is in line with the response rate obtained by mailed questionnaires after 3 months in another chiropractor patient population , but not as high as a 93% response rate achieved using telephone interviews of chiropractor patients . However, our response rate might be as large as can be expected with frequent follow-ups. In a study of LBP patients in general practice only 44% responded to at least 4 out of 6 monthly questionnaires . We believe our lower response rate resulted from participant fatigue due to the frequency of follow-ups, but we also find it very likely that it is possible to improve response rates in future studies of this type. It would take an increased effort put into informing patients about the study prior to inclusion, and that non-responders are contacted verbally on the phone when they first miss a follow-up in order to clarify any misunderstandings. Since our non-responders had a longer duration of pain prior to inclusion than responders, and more often had leg pain in addition to back pain, the low response rate may have resulted in a too optimistic picture of the LBP-course within this population.
We chose a pragmatic way of analyzing the data. The classification of the curves used to illustrate the various course patterns was performed manually through simple inspection of the printed curves. A clear-cut definition was made for each parameter used for the classification and the agreement on the classification between the two authors was substantial. This approach made it possible to identify clinically meaningful patterns, but would not be feasible when analyzing data from larger cohorts. Therefore, other methods of analysis will be described elsewhere.
Our next step will be to verify if our subgroups should be altered, i.e. further subdivided, or if some of the groups actually are so alike that they should be collapsed into to fewer groups. We also intend to explore whether the identified patterns relate to specific LBP diagnoses, and if they can be predicted from baseline characteristics. If so, we would come closer to the identification of clinically relevant subgroups in LBP.
In conclusion, our preliminary results are promising in that we could identify several distinct groups of patients with different LBP course patterns. We tested a new method to collect data and found it to be easily used, although more effort should be placed on informing the patient about the requirements of the study to minimize loss to follow-up.
Our findings indicate that most patients with LBP who seek chiropractic care improve in the early course, i.e. within the first four weeks, and that such early improvement was often associated with a generally good course. However, even among patients with early improvement the majority do not experience a full recovery. An important finding was that a fluctuating course is relatively common among these patients. Obviously, this should be taken into account from both clinical and research perspectives.
Rubin DI: Epidemiology and risk factors for spine pain. Neurol Clin. 2007, 25: 353-371. 10.1016/j.ncl.2007.01.004.
Hartvigsen J, Leboeuf-Yde C, Lings S, Corder EH: Is sitting-while-at-work associated with low back pain? A systematic, critical literature review. Scand J Public Health. 2000, 28: 230-239.
Leboeuf-Yde C: Body weight and low back pain. A systematic literature review of 56 journal articles reporting on 65 epidemiologic studies. Spine. 2000, 25: 226-237. 10.1097/00007632-200001150-00015.
Leboeuf-Yde C: Smoking and low back pain. A systematic literature review of 41 journal articles reporting 47 epidemiologic studies. Spine. 1999, 24: 1463-1470. 10.1097/00007632-199907150-00012.
Kent PM, Keating JL: Can we predict poor recovery from recent-onset nonspecific low back pain? A systematic review. Man Ther. 2008, 13: 12-28. 10.1016/j.math.2007.05.009.
Hagen KB, Jamtvedt G, Hilde G, Winnem MF: The updated Cochrane review of bed rest for low back pain and sciatica. Spine. 2005, 30: 542-546. 10.1097/01.brs.0000154625.02586.95.
Furlan AD, van TM, Cherkin D, Tsukayama H, Lao L, Koes B, Berman B: Acupuncture and dry-needling for low back pain: an updated systematic review within the framework of the Cochrane collaboration. Spine. 2005, 30: 944-963. 10.1097/01.brs.0000158941.21571.01.
Furlan AD, Imamura M, Dryden T, Irvin E: Massage for low back pain: an updated systematic review within the framework of the Cochrane Back Review Group. Spine (Phila Pa 1976). 2009, 34: 1669-1684.
Assendelft WJ, Morton SC, Yu EI, Suttorp MJ, Shekelle PG: Spinal manipulative therapy for low back pain. Cochrane Database Syst Rev. 2004, CD000447-
Hayden JA, van Tulder MW, Malmivaara A, Koes BW: Exercise therapy for treatment of non-specific low back pain. Cochrane Database Syst Rev. 2005, CD000335-
Wasiak R, Young AE, Dunn KM, Cote P, Gross DP, Heymans MW, Von KM: Back pain recurrence: an evaluation of existing indicators and direction for future research. Spine. 2009, 34: 970-977. 10.1097/BRS.0b013e3181a01b63.
Von Korff M, Saunders K: The course of back pain in primary care. Spine. 1996, 21: 2833-2837. 10.1097/00007632-199612150-00004.
Leboeuf-Yde C, Grønstvedt A, Borge JA, Lothe J, Magnesen E, Nilsson O, Røsok G, Stig LC, Larsen K: The Nordic back pain subpopulation program: a 1-year prospective multicenter study of outcomes of persistent low-back pain in chiropractic patients. J Manipulative Physiol Ther. 2005, 28: 90-96. 10.1016/j.jmpt.2005.01.010.
Croft PR, Macfarlane GJ, Papageorgiou AC, Thomas E, Silman AJ: Outcome of low back pain in general practice: a prospective study. BMJ. 1998, 316: 1356-1359.
Hestbaek L, Leboeuf-Yde C, Engberg M, Lauritzen T, Bruun NH, Manniche C: The course of low back pain in a general population. Results from a 5-year prospective study. J Manipulative Physiol Ther. 2003, 26: 213-219. 10.1016/S0161-4754(03)00006-X.
McGorry RW, Webster BS, Snook SH, Hsiang SM: The relation between pain intensity, disability, and the episodic nature of chronic and recurrent low back pain. Spine. 2000, 25: 834-841. 10.1097/00007632-200004010-00012.
Dunn KM, Jordan K, Croft PR: Characterizing the course of low back pain: a latent class analysis. Am J Epidemiol. 2006, 163: 754-761. 10.1093/aje/kwj100.
Stanton TR, Henschke N, Maher CG, Refshauge KM, Latimer J, McAuley JH: After an episode of acute low back pain, recurrence is unpredictable and not as common as previously thought. Spine. 2008, 33: 2923-2928. 10.1097/BRS.0b013e31818a3167.
Marras WS, Ferguson SA, Burr D, Schabo P, Maronitis A: Low back pain recurrence in occupational environments. Spine. 2007, 32: 2387-2397. 10.1097/BRS.0b013e3181557be9.
Chen C, Hogg-Johnson S, Smith P: The recovery patterns of back pain among workers with compensated occupational back injuries. Occup Environ Med. 2007, 64: 534-540. 10.1136/oem.2006.029215.
Leboeuf-Yde C, Manniche C: Low Back Pain: Time to get off the treadmill. J Manipulative Physiol Ther. 2001, 24: 63-66. 10.1067/mmt.2001.112009.
Childs JD, Fritz JM, Flynn TW, Irrgang JJ, Johnson KK, Majkowski GR, Delitto A: A clinical prediction rule to identify patients with low back pain most likely to benefit from spinal manipulation: a validation study. Ann Intern Med. 2004, 141: 920-928.
Long A, Donelson R, Fung T: Does it matter which exercise? A randomized control trial of exercise for low back pain. Spine. 2004, 29: 2593-2602. 10.1097/01.brs.0000146464.23007.2a.
Brennan GP, Fritz JM, Hunter SJ, Thackeray A, Delitto A, Erhard RE: Identifying subgroups of patients with acute/subacute "nonspecific" low back pain: results of a randomized clinical trial. Spine. 2006, 31: 623-631. 10.1097/01.brs.0000202807.72292.a8.
Fritz JM, Brennan GP, Clifford SN, Hunter SJ, Thackeray A: An examination of the reliability of a classification algorithm for subgrouping patients with low back pain. Spine. 2006, 31: 77-82. 10.1097/01.brs.0000193898.14803.8a.
Petersen T, Laslett M, Thorsen H, Manniche C, Ekdahl C, Jacobsen S: Diagnostic classification of non-specific low back pain. A new system integrating patho-anatomic and clinical categories. Physiotherapy Theory and Practice. 2007, 19: 213-237. 10.1080/716100585.
SMS-Track Questionnaire 1.1.3. 2007, New Agenda Solutions
Leboeuf-Yde C, Axen I, Jones JJ, Rosenbaum A, Lovgren PW, Halasz L, Larsen K: The Nordic back pain subpopulation program: the long-term outcome pattern in patients with low back pain treated by chiropractors in Sweden. J Manipulative Physiol Ther. 2005, 28: 472-478. 10.1016/j.jmpt.2005.07.003.
Axen I, Rosenbaum A, Robech R, Larsen K, Leboeuf-Yde C: The Nordic back pain subpopulation program: can patient reactions to the first chiropractic treatment predict early favorable treatment outcome in nonpersistent low back pain?. J Manipulative Physiol Ther. 2005, 28: 153-158. 10.1016/j.jmpt.2005.02.007.
Malmqvist S, Leboeuf-Yde C, Ahola T, Andersson O, Ekstrom K, Pekkarinen H, Turpeinen M, Wedderkopp N: The Nordic back pain subpopulation program: predicting outcome among chiropractic patients in Finland. Chiropr Osteopat. 2008, 16: 13-10.1186/1746-1340-16-13.
Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics. 1977, 33: 159-174. 10.2307/2529310.
Kent PM, Keating JL: The epidemiology of low back pain in primary care. Chiropr Osteopat. 2005, 13: 13-10.1186/1746-1340-13-13.
The authors gratefully acknowledge The Foundation for Chiropractic Education and Research for financial support. We also owe the participating chiropractors Susanne Bach Helgeson, Anja Borgaard Jørgensen, Bolette Brunmark, Marianne Krogsgaard Matthiesen, Bettina Miltersen, Pia Sørensen, and Kirsten Thorhauge a large thank you for their efforts.
The authors declare that they have no competing interests.
Both authors participated in the design of the study, data analysis and drafting of the manuscript. AK instructed the chiropractors who included patients and collected the data.
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Kongsted, A., Leboeuf-Yde, C. The Nordic back pain subpopulation program - individual patterns of low back pain established by means of text messaging: a longitudinal pilot study. Chiropr Man Therap 17, 11 (2009). https://doi.org/10.1186/1746-1340-17-11