Skip to main content

Individual vs. Group Delivery of Acupuncture Therapy for Chronic Musculoskeletal Pain in Urban Primary Care—a Randomized Trial



Acupuncture has been shown to be effective for the treatment of chronic musculoskeletal back, neck, and osteoarthritis pain. However, access to acupuncture treatment has been limited in medically underserved and low-income populations.


Acupuncture therapy delivered in groups could reduce cost and expand access. We compared the effectiveness of group versus individual acupuncture for pain and function among ethnically diverse, low-income primary care patients with chronic musculoskeletal pain.


This was a randomized comparative effectiveness non-inferiority trial in 6 Bronx primary care community health centers. Participants with chronic (> 3 months) back, neck, or osteoarthritis pain were randomly assigned to individual or group acupuncture therapy for 12 weeks.


Seven hundred seventy-nine participants were randomized. Mean age was 54.8 years. 35.3% of participants identified as black and 56.9% identified as Latino. Seventy-six percent were Medicaid insured, 60% reported poor/fair health, and 37% were unable to work due to disability.


Participants received weekly acupuncture treatment in either group or individual setting for 12 weeks.

Main Measures

Primary outcome was pain interference on the Brief Pain Inventory at 12 weeks; secondary outcomes were pain severity (BPI), physical and mental well-being (PROMIS-10), and opiate use. Outcome measures were collected at baseline, 12 and 24 weeks.

Key Results

37.5% of individual arm and 30.3% in group had > 30% improvement in pain interference (d = 7.2%, 95% CI − 0.6%, 15.1%). Non-inferiority of group acupuncture was not demonstrated for the primary outcome assuming a margin of 10%. In the responder analysis of physical well-being, 63.1% of individual participants and 59.5% of group had clinically important improvement at 12 weeks (d = 3.6%, 95% CI − 4.2%, 11.4%).


Both individual and group acupuncture therapy delivered in primary care settings reduced chronic pain and improved physical function at 12 weeks; non-inferiority of group was not shown.

Trial Registration # NCT02456727


The prevalence of chronic pain conditions in the adult US population ranges from 11 to 47% in large surveys1,2,3,4,5,6,7,8; low back and neck pain, osteoarthritis (OA), and headache are the most common.9 Underserved and ethnically diverse populations are especially at risk for pain and pain undertreatment,5, 10,11,12 and these disparities are compounded when limited English proficiency impacts communication.5 Living with chronic pain is associated with impairment of physical and psychological functioning,13,14,15 lost productivity,16 and lower socioeconomic status.6

Acupuncture therapy is effective in the treatment of chronic pain conditions17,18,19,20 including chronic low back pain,21,22,23,24 neck pain,24,25,26 and knee pain from osteoarthritis.27,28,29,30,31,32 A recently updated individual patient data meta-analyses including over 20,000 patients with chronic pain showed acupuncture to be significantly better than sham treatment or usual care with only a 15% reduction in treatment effect at 1 year.33 Acupuncture therapy is supported or recommended as part of comprehensive pain care12 by the Agency for Healthcare Research and Quality (AHRQ),34 the American College of Physicians (ACP),35 and the Joint Commission (TJC).36, 37

Acupuncture therapy has been predominantly studied in the individual setting17; it has been shown to be effective and feasible for low-income, ethnically diverse, chronic pain patients delivered in community health center settings.38,39,40 However, lack of insurance coverage and limited access pose barriers to implementation in this population. To reduce cost, increase access, and meet patient demand, group acupuncture therapy is now being offered across the USA. In group acupuncture, patients are treated simultaneously, in a staggered fashion, situated near and in view of one another. Studies demonstrate that group acupuncture is acceptable to patients,38, 41,42,43,44,45,46 and early studies show it to be effective for pain.46 However, to date, no studies have compared the effectiveness of group versus individual acupuncture for chronic pain.47,48 The “Acupuncture Approaches to Decrease Disparities in Outcomes of Pain Treatment Two Arm Comparative Effectiveness Trial” (AADDOPT-2) sought to answer this question in an underserved and ethnically diverse patient population.


Design Overview

AADDOPT-2 was a randomized, non-blinded comparative effectiveness trial. All participants were referred for acupuncture therapy by primary care providers (PCPs). The study consisted of 12 weekly sessions (treatment phase) and a 12-week follow-up phase. The primary hypothesis was that group was non-inferior to individual treatment for improving pain interference. Participants were recruited between May 2015 and August 2017. The Institutional Review Board of Albert Einstein College of Medicine approved the study.

Study Setting

Participating primary care practices are located in the Bronx, NY, where 85.5% of residents are from an ethnic minority of whom more than half (56.7%) are Hispanic. Nearly a third of the population lives below poverty level. The six practices provide comprehensive primary care; 5 of the 6 are federally qualified health centers.


We enrolled adults aged > 21 who received primary care at a participating health center and had (1) a diagnosis of chronic pain (> 3 months) due to osteoarthritis of any joint, or chronic neck or back pain related to non-cancer diagnoses; (2) fluency in English or Spanish; (3) ability to provide a phone number; and (4) intent to be available for up to 24 weeks. Exclusions were current anticoagulant use, and inability to provide informed consent due to mental illness or cognitive impairment. No minimum pain score was required for inclusion.


Participants in both arms continued to receive usual care for management of chronic pain. Usual care included medical diagnostic evaluation, analgesic drug therapies, recommendations for physical activity, and sometimes referral to specialist physicians or physical therapy. A detailed description of the development and implementation of our acupuncture manualization has been published separately.49 We deployed a team of 6 licensed acupuncturists who treated patients on-site in 5 of the 6 participating health centers; for one site, participants were treated at a health center nearby due to space constraints. All of the acupuncturists delivered both group and individual acupuncture sessions. The protocol employed “responsive manualization,” a pragmatic approach that allows for individualizing treatment from a consensus-built array of options.50 The manual had a common set of acupuncture points with optional points and techniques allowing treatments to be responsive to the heterogenous and evolving nature of an individual’s condition. All treatment followed guidelines for safety and correct methodology.51 Reporting followed Standards for Reporting Interventions in Clinical Trials of Acupuncture (STRICTA).52 In addition to acupuncture needling, the manual also provided for the incorporation of therapies often used with acupuncture including palpation,53, 54 Tui na (a traditional Chinese manual therapy),55, 56 Gua sha (unidirectional press stroking of a lubricated area of skin with a smooth, round-edged instrument),46, 57, 58 and extended auricular treatment with ear seeds (Semen Vaccaria).59,60,61,62 Participants were also given general lifestyle recommendations in terms of diet, the importance of moving, and external hot and cold exposure.

Randomization and Treatment Arms

The randomization scheme was computer generated by the study statistician using a random number generator in the SAS software system. Randomization was stratified by source of pain: back pain versus other pain with block sizes of 2–4. The allocation was held by a supervisory staff member who had no contact with participants. Study allocation was not visible to enrolling staff, or provided to the patient, until baseline data was collected. Due to variable wait lists, the range of time from randomization to starting acupuncture was 0–311 days (mean 26 days). Individual acupuncture sessions were scheduled on the half hour with the acupuncturist simultaneously working 2 exam rooms. Group participants received treatment in a setting with up to 6 patients in the group at any one time, seated in chairs in a large room (conference or multi-use rooms). Initial treatments in group were scheduled every 20 min, and follow-up treatments every 15 min. The acupuncturist was present throughout the entire treatment period and could also adjust or add treatment. Patients could lean and rest forward on a table to allow access to the dorsal body.

Outcomes and Follow-up

All measures were administered via phone in English or Spanish. Participants did not receive an incentive to attend acupuncture treatments but did receive modest incentives to complete the research interviews. The baseline research interview was conducted immediately prior to randomization, including demographics and a measure of depressive symptoms, the Patient Health Questionnaire (PHQ-9).63 The primary outcome was defined as > 30% improvement in pain interference (defined as “the self-reported consequences of pain on relevant aspects of a person’s life [including] the extent to which pain hinders engagement with social, cognitive, emotional, physical, and recreational activities”)64 between baseline and week 12 as measured by the Brief Pain Inventory: Short Form (BPI).65,66, A recent review confirms that 30% improvement in pain represents clinically important change.67 Secondary outcomes included pain severity on the BPI and quality of life measured by the 10-item Patient-Reported Outcomes Measurement Information Systems (PROMIS-10) global health measure, which includes ratings of physical function and emotional distress.64, 68 We tracked use of opiate medications using two methods. Patients were asked at baseline, 12 and 24 weeks if they had a prescription for an opiate pain reliever from a physician, and if so, the number of days used in the last week. In addition, we extracted prescriptions for opiates written and refilled directly from the electronic medical record (EMR, EPIC tm) using EMR extraction software (Clinical Looking Glass™; Emerging Health Information Technology; Yonkers, NY). Patient-reported outcomes were assessed at baseline, 12 and 24 weeks; the 24-week time point allowed assessment of maintenance of intervention effects.

Statistical Methods

The study was designed to evaluate whether group was non-inferior to individual acupuncture for improving pain. The primary outcome was response to treatment, as defined by a 30% or greater improvement on the BPI pain interference measure between baseline and 12 weeks. The margin of non-inferiority was defined as an absolute difference of δ = 10% (individual–group) in the proportion of patients who responded to treatment. With a sample size of 282 subjects per group, the study had 80% power with a one-sided α = 2.5% to conclude that group therapy is non-inferior to individual therapy assuming the true response rate in both groups is 35%. To account for a 20% loss to follow-up rate, the target enrollment was 350 patients per arm.

Analyses were conducted according to the intent-to-treat (ITT) approach, followed by the per protocol (PP) method. The difference in pain interference response rates between the treatment arms was estimated along with corresponding two-sided 95% confidence intervals. Non-inferiority of the group approach relative to the individual approach was declared if the upper limit of the 95% confidence interval for the true difference in response rates (individual therapy rate–group therapy rate) was less than δ, the margin of non-inferiority. Stratified analysis using the Cochran-Mantel-Haenszel method was also performed to adjust for the randomization stratification factor, source of pain. Since unstratified and stratified results were nearly identical, only the former are reported. In addition, pain interference as measured on the original continuous scale was also analyzed by fitting analysis of covariance models with treatment group and baseline pain interference value as predictor variables.

Secondary outcomes, pain severity and global health, were analyzed using similar approaches. For opiate analgesic use, we conducted one EMR data extract for all opiate prescriptions for each participant, 6 months after the final participant-initiated treatment. Standard conversions were used to calculate oral morphine equivalents from extracted prescriptions.69, 70 Quantities were assumed to cover a 30-day supply unless otherwise specified by the prescriber. Participants were assumed to be taking all available as needed or PRN doses every day. For subjects with at least one opioid analgesic prescription during the study period, the average daily dose of opioids was compared over the 12 weeks pre-randomization and weeks 4–16 post-randomization using the Wilcoxon signed-rank test (the 4 weeks immediately following randomization were omitted to allow time for the patient to begin treatment and receive dosing adjustments from their prescriber). The same analysis was repeated for 24 weeks pre-randomization compared with 4–28 weeks post-randomization. Proportions of patients with an opioid prescription were compared across the same periods using McNemar’s test.

Handling of Missing Data

Both list-wise deletion and multiple imputation (MI) using chained equations were applied to address missing data and yielded similar findings. Details and results of the MI approach are in the supplementary table c.

A complete description of the study protocol and statistical analysis approach will be available in our final study report on the PCORI website in May 2020.71


Participant Flow

Of 1469 referrals received, 1341 (91.3%) were screened. Of screened individuals, 41.9% either declined participation, were lost to follow-up prior to randomization, or were ineligible. We randomized 779 to group (n = 389) or individual (n = 390) arms; 73 (9.4%) of individuals who were eligible completed baseline data and were randomized but never initiated acupuncture. In many cases, these subjects were initially on a wait list for treatment but subsequently declined to participate when an opening became available. We scheduled 2.8 patients per hour in group and 2.0 in individual sessions. Our actual average number of patients seen per hour was 1.9 for group and 1.4 for individual; this accounts for set up and break down time as well as no-shows (Fig. 1).

Figure 1
figure 1

Participant flow in AADDOPT-2 (CONSORT diagram). a No further data collected; b Available for analysis at 12 weeks for primary outcomes (ITT).

Rates of loss to follow-up (i.e., those with no follow-up data collected) were similar in the two arms at 12 weeks (individual 12.3% and group 12.8%). There were no discernible patterns of skipped responses. The proportion of participants with either no survey or skipped questions resulting in insufficient data to calculate the pain outcomes (pain interference and pain severity) at each assessment point is provided in Supplementary Table a. Demographic characteristics of those with and without missing primary outcome (pain interference) at 12 weeks are also shown in Supplementary Table b. Missing pain interference data was more common among those with high school education or less, and the mean age of participants with missing data was 52.8 years compared with 55.6 for those without missing data.

Participant Baseline Characteristics

For the overall sample (n = 779; see Table 1), the mean age was 54.8 years. Participants identified as black (35.3%), white (13.4%), and multiracial (12.3%). Over half identified as Latino (56.9%); 76% were Medicaid insured, 60% reported poor/fair health, and 37% were unable to work due to disability. Participants had a baseline pain interference score of 6.1. One-quarter (26.0%) reported having a prescription for an opiate pain reliever. Group and individual arm participants did not differ with regard to demographics and baseline measures. None of the key potential confounders were significantly different across treatment arms.

Table 1 Participant Baseline Demographics

Participation in the Intervention by Arm

Among participants who initiated acupuncture, the mean number of treatments was 8.0 for group and 8.1 for individual (p = 0.56). The majority (63.7%) attended 8 or more treatments; there were no differences in failure to initiate acupuncture (7.7% individual vs. 11% group; p = 0.12) or number of sessions attended by study arm (see Table 2).

Table 2 Treatment Participation by Study Arm

Primary Outcome

Table 3 summarizes results for the primary outcome for both the ITT and PP samples. The PP sample included participants (63.7% of those who initiated treatment, N = 450) who attended a “full course” of treatment, defined as 8 or more treatment sessions as based on expert opinion and large meta-analyses.33, 72

Table 3 Primary Outcome: BPI Pain Interference

Per ITT analysis, 37.5% of individual arm and 30.3% of group arm participants had > 30% improvement in pain interference at 12 weeks (d = 7.2%, 95% CI − 0.6%, 15.1%). In the PP sample, the proportion was 39.7% of individual and 34.4% of group (d = 5.3%; 95% CI − 4.2%, 14.9%). Non-inferiority of group acupuncture for the primary outcome was not demonstrated in either the ITT or PP analyses since in both analyses the upper limits of the confidence intervals for the difference in response rates exceeded the non-inferiority margin of 10%. We also measured pain interference at 24 weeks to assess persistence of effect. In the ITT sample at 24 weeks, 35.0% of individual arm participants and 28.7% in the group arm had > 30% improvement in pain interference (d = 6.3%, 95% CI − 1.5%, 14.0%).

When multiple imputation was applied to address missing data, non-inferiority of group therapy could not be declared in either the ITT or PP analyses (supplementary Table c).

Secondary Outcomes

Pain Severity

In the ITT analysis, 34.8% of individual and 30.5% of group participants had > 30% reduction in pain severity at 12 weeks (d = 4.3%, 95% CI − 3.3%, 11.9%). In the PP sample, the proportion was 39.2% of individual compared with 36.3% of group participants (d = 2.8%; 95% CI − 6.5%, 12.2%). Non-inferiority of group was not demonstrated in either analysis. About a quarter of both arms had > 30% reduction at 24 weeks (Table 4).

Table 4 Secondary Outcomes

PROMIS 10 Global Health64

In the ITT sample, baseline physical health T-score was 34.8 in both arms. In the ITT analysis, 63.1% of individual arm and 59.5% of group participants had clinically important improvement (defined as a two-point change in mean T-score)73, 74 at 12 weeks for physical health (d = 3.6%, 95% CI − 4.2%, 11.4%). At 24 weeks 55.4% of individual and 50.2% of group still reported clinically important improvement (d = 5.2%, 95% CI − 2.9%, 13.4%). In the PP sample, 67.7% of individual and 61.3% of group had 2 point or greater improvement at 12 weeks (d = 6.5%, 95% CI − 2.7%, 15.6%); at 24 weeks, 59.0% of individual arm versus 49.7% of group participants still reported response (d = 9.3%, 95% CI − 0.5%, 19.0%).

Minimal changes were observed in mean mental health scores in both arms, in both the ITT and PP samples. As no minimal important difference for the mental health subscale has been established, we used a change of one half standard deviation (5 points) to define “response.” About a quarter of both samples had clinically important improvement at 12 weeks.

Opiate Use

Based on EMR data, of the 706 participants, 191 had at least one opioid analgesic prescription during the study period. The proportion of patients with an opioid prescription in the ITT sample was significantly higher 12 weeks prior to randomization than in the period 4–16 weeks after in the individual arm (16.4% vs. 11.0%, p = 0.003), but not in the group arm (13.1% vs. 14.3%, p = 0.39). In the PP sample, individual arm patients had a decrease in the average daily dose of opioid (in morphine milliequivalents) before and after randomization (39.1 mg vs. 30.4 mg, p = 0.05) but those in group treatment did not (13.5 mg vs. 15.2 mg, p = 0.27). Results are similar when comparing the longer time frames of 24 weeks prior to 4–28 weeks post-randomization (see supplementary table d). By self-report, for the total sample, there was no difference in the proportion using an opiate pain reliever in the past 7 days at baseline versus 12 weeks in either sample (supplemental Table e). There is a modest decrease in the PP sample only in mean days of use in the past week (supplemental Table f).

Adverse Events

No serious adverse events (AE) were reported in either individual or group acupuncture cohorts. Fifteen non-serious AEs were documented including transient pain at a needle site, short-term exacerbation of chronic pain condition, dizziness or nausea, with one participant fainting.49


We found clinically significant improvement in pain interference in both group and individual arms for a substantial proportion of participants at 12 weeks in both our ITT and PP analyses. Pain severity also showed clinically meaningful improvement in over 30% of participants in both arms, and global physical health in roughly 60%. Non-inferiority of group to individual acupuncture was not demonstrated for either pain interference or severity at 12 weeks; individual treatment was consistently slightly better than group. Regarding opiate use, based on EMR data, opiate prescriptions declined in the individual arm but not in the group arm when comparing the 12 weeks pre-intervention to the period 4–16 weeks post-intervention.

Although our response rates in both arms were slightly lower than the 40–50% response seen in a large individual patient data meta-analyses,33, 72 and although we did not demonstrate non-inferiority of group treatment, our results suggest that both individual and group acupuncture can be offered safely in the community health center setting, and that a substantial proportion of patients with chronic pain will have clinically significant improvement. In light of the many recent guidelines documents supporting the use of acupuncture as part of comprehensive pain care and to mitigate opioid risks,34,35,36, 75, 76 this is an important finding. We also found that acupuncturists saw on average 1.9 patients per hour in group sessions compared with 1.4 per hour in individual (35% increase) suggesting a possible cost advantage to the group model. This may be an underestimate of the increased efficiency of the group model: in well-managed practice settings (rather than a clinical trial) acupuncturists would typically see 2 patients per hour for individual treatment and 4 patients per hour for group treatment. Finally, group care provided in a common, multipurpose room reduces the cost of utilization of individual medical exam rooms, which are typically in high demand in these settings.

Regarding acceptability of group treatment, there was no difference in the number of sessions attended for participants in the two arms, or any difference in treatment initiation after randomization. Participants who might have had an initial preference for individual treatment reliably initiated and continued treatment in the group setting. In qualitative interviews with participants in both study arms, 77 we identified both positive (social interaction) and negative (privacy concerns, mixed-gender groups) elements, but none of these ultimately affected initiation and continuation of treatment.

A number of factors specific to our treatment setting and population make the positive response rates particularly meaningful. For both individual and group arms, delivery in busy community health centers presented challenges. The physical plant was designed for needs of primary care. Individual treatment occurred in medical exam rooms with tables not designed for a comfortable supine or prone position. Group sessions were scheduled in multi-purpose conference rooms with a table and chairs. Our population was also different in many ways from those in most clinical trials to date: participants often had multiple significant comorbidities, including depression, higher levels of disability and lower functional status, and significant socioeconomic and biopsychosocial challenges. These challenges may have contributed to the lower response rate. A recent trial of yoga versus physical therapy (PT) for chronic low back pain in an undeserved population found response rates very similar to those in our study (35%).78 Our previous study of individual acupuncture in this setting similarly found that roughly 1/3 of participants had a 30% or greater improvement in pain,79 suggesting that this may be a more typical response in this population. Regarding the difference in outcomes between group and individual arms, it is possible that constraints on the physical environment may have contributed, in particular, the challenge of treating patients seated in chairs with limited capacity for accessing acupuncture points on the trunk and upper legs. A recent pilot trial which provided group acupuncture in a more optimal setting found a larger proportion of patients experiencing a clinically significant reduction in pain and depression.46

Study Limitations

The most significant limitation of this study was that due to resource limitations, our pragmatic trial design did not include a third arm representing usual care alone; thus, we cannot definitively attribute the participants’ benefit to the acupuncture treatment. However, the benefit of acupuncture compared with both placebo and usual care has been shown elsewhere in large individual patient data meta-analyses.33, 72 A second limitation was the suboptimal physical setting of group acupuncture delivery. This could have biased results away from non-inferiority of group over individual. In future implementation, this limitation could be mitigated by the addition of more comfortable chairs and one or two mobile treatment tables. The ITT group includes 73 people who were randomized but never initiated treatment, biasing ITT results toward less effective overall. There were several limitations to use of EMR data to examine opioid analgesic use. First, participants possibly obtained prescriptions outside of our health system which would have been unavailable for analysis. Second, the assumption was made that participants used all as-needed doses available to them by prescription, which may not be accurate. Although these limitations would theoretically apply equally to both groups, based on the fact that the standard deviation was extremely wide and that opioid utilization was a secondary outcome for which we were not adequately powered, our findings on opioids should be seen as hypothesis-generating for future research rather than definitive.


Our results demonstrate that individual and group acupuncture can be offered safely in the community health center setting, that acceptability to patients and clinicians is very high, and that a substantial proportion of patients with chronic pain will have clinically significant improvement in both pain and overall physical health. Based on these results, acupuncture therapy should be offered as part of pain care to underserved populations in the primary care setting. Non-inferiority of group treatment was not demonstrated, suggesting that further research is needed on the optimal strategy for delivering group acupuncture in this context to consider it as effective as individual treatment.


  1. Blackwell DL, Lucas JW, Clarke TC. Summary health statistics for U.S. adults: National Health Interview Survey, 2012. National Center for Health Statistics. Vital Health Stat 10(260). 2014; Accessed January 14, 2018.

  2. Brown A. Chronic pain rates shoot up until Americans reach late 50s. Gallup Healthways 2012; Accessed May 6, 2018.

  3. Gaskin DJ, Richard P. The economic costs of pain in the United States. J Pain. 2012;13(8):715–724.

    PubMed  Google Scholar 

  4. Grol-Prokopczyk H. Sociodemographic disparities in chronic pain, based on 12-year longitudinal data. Pain. 2017;158(2):313–322.

    PubMed  PubMed Central  Google Scholar 

  5. Institute of Medicine, Committee on Advancing Pain Research, Care and Education. Relieving Pain in America: A Blueprint for Transforming Prevention, Care, Education, and Research. Washington (DC): National Academies Press (US); 2011.

  6. 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):1230–1239.

    PubMed  Google Scholar 

  7. Kennedy J, Roll JM, Schraudner T, Murphy S, McPherson S. Prevalence of persistent pain in the U.S. adult population: new data from the 2010 National Health Interview Survey. J Pain. 2014;15(10):979–984.

    PubMed  Google Scholar 

  8. Reyes-Gibby C, Aday L, Cleeland C. Impact of pain on self-rated health in the community-dwelling older adults. Pain. 2002;95(1–2):75–82.

    PubMed  Google Scholar 

  9. GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388(10053):1545–1602.

  10. Institute of Medicine. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care (with CD). Washington, DC: The National Academies Press 2003.

  11. National Academies of Sciences Engineering and Medicine. Pain Management and the Opioid Epidemic: Balancing Societal and Individual Benefits and Risks of Prescription Opioid Use (2017). Washington, DC: The National Academies Press. doi:; 2017.

  12. Tick H, Nielsen A, Pelletier KR, et al. Evidence-based Nonpharmacologic Strategies for Comprehensive Pain Care: The Consortium Pain Task Force White Paper. Explore (NY). 2018;14(3):177–211.

    PubMed  Google Scholar 

  13. Elliott A, Smith B, Hannaford P, Smith W, Chambers W. The course of chronic pain in the community: results of a 4-year follow-up study. Pain. 2002;99(1–2):299–307.

    CAS  PubMed  Google Scholar 

  14. Gureje O, Simon G, Von Korff M. A cross-national study of the course of persistent pain in primary care. Pain. 2001;92(1–2):195–200.

    CAS  PubMed  Google Scholar 

  15. Gureje O, Von Korff M, Simon G, Gater R. Persistent pain and well-being: a World Health Organization Study in Primary Care. JAMA. 1998;280(2):147–151.

    CAS  PubMed  Google Scholar 

  16. Goetzel R, Hawkins K, Ozminkowski R, Wang S. The health and productivity cost burden of the “top 10” physical and mental health conditions affecting six large U.S. employers in 1999. J Occup Environ Med. 2003;45(1):5–14.

    PubMed  Google Scholar 

  17. Vickers AJ, Cronin AM, Maschino AC, et al. Acupuncture for chronic pain: individual patient data meta-analysis. Arch Intern Med. 2012;172(19):1444–1453.

    PubMed  PubMed Central  Google Scholar 

  18. Vickers AJ, Linde K. Acupuncture for chronic pain. JAMA. 2014;311(9):955–956.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Yuan QL, Wang P, Liu L, et al. Acupuncture for musculoskeletal pain: A meta-analysis and meta-regression of sham-controlled randomized clinical trials. Sci Rep. 2016;6:30675.

    CAS  PubMed  PubMed Central  Google Scholar 

  20. MacPherson H, Vickers A, Bland M, et al. Acupuncture for chronic pain and depression in primary care: a programme of research. Programme Grants for Appl Res. 2017;5(3).

  21. Chou R, Deyo R, Friedly J, et al. Nonpharmacologic therapies for low back pain: a systematic review for an American College of Physicians clinical practice guideline. Ann Intern Med. 2017;166(7):493–505.

    PubMed  Google Scholar 

  22. Liu L, Skinner M, McDonough S, Mabire L, Baxter GD. Acupuncture for low back pain: an overview of systematic reviews. Evid Based Complement Alternat Med. 2015;2015:328196.

    PubMed  PubMed Central  Google Scholar 

  23. Tang S, Mo Z, Zhang R. Acupuncture for lumbar disc herniation: a systematic review and meta-analysis. Acupunct Med. 2018;36(2):62–70.

    PubMed  Google Scholar 

  24. Yuan QL, Guo TM, Liu L, Sun F, Zhang YG. Traditional Chinese medicine for neck pain and low back pain: a systematic review and meta-analysis. PLoS One. 2015;10(2):e0117146.

    PubMed  PubMed Central  Google Scholar 

  25. Willich SN, Reinhold T, Selim D, Jena S, Brinkhaus B, Witt CM. Cost-effectiveness of acupuncture treatment in patients with chronic neck pain. Pain. 2006;125(1–2):107–113.

    PubMed  Google Scholar 

  26. Trinh KV, Graham N, Gross AR, et al. Acupuncture for neck disorders. Cochrane Database Syst Rev. 2006(3):Cd004870.

  27. Berman B, Lao L, Langenberg P, Lee W, Gilpin A, Hochberg M. Effectiveness of acupuncture as adjunctive therapy in osteoarthritis of the knee: a randomized, controlled trial. Ann Intern Med. 2004;141(12):901–910.

    PubMed  Google Scholar 

  28. Kwon YD, Pittler MH, Ernst E. Acupuncture for peripheral joint osteoarthritis: a systematic review and meta-analysis. Rheumatology (Oxford). 2006;45(11):1331–1337.

    CAS  PubMed  Google Scholar 

  29. Lin X, Huang K, Zhu G, Huang Z, Qin A, Fan S. The effects of acupuncture on chronic knee pain due to osteoarthritis: a meta-analysis. J Bone Joint Surg Am. 2016;98(18):1578–1585.

    PubMed  Google Scholar 

  30. Zhang Y, Bao F, Wang Y, Wu Z. Influence of acupuncture in treatment of knee osteoarthritis and cartilage repairing. Am J Transl Res. 2016;8(9):3995–4002.

    PubMed  PubMed Central  Google Scholar 

  31. Manyanga T, Froese M, Zarychanski R, et al. Pain management with acupuncture in osteoarthritis: a systematic review and meta-analysis. BMC Complement Altern Med. 2014;14:312.

    PubMed  PubMed Central  Google Scholar 

  32. Woods B, Manca A, Weatherly H, et al. Cost-effectiveness of adjunct non-pharmacological interventions for osteoarthritis of the knee. PLoS One. 2017;12(3):e0172749.

    PubMed  PubMed Central  Google Scholar 

  33. Vickers AJ, Vertosick EA, Lewith G, et al. Acupuncture for chronic pain: update of an individual patient data meta-analysis. J Pain. 2018;19(5):455–474.

    PubMed  Google Scholar 

  34. Skelly AC, Chou R, Dettori JR, et al. AHRQ Comparative Effectiveness Reviews. Noninvasive Nonpharmacological Treatment for Chronic Pain: A Systematic Review. Rockville (MD): Agency for Healthcare Research and Quality (US); 2018.

  35. Qaseem A, Wilt TJ, McLean RM, Forciea M, Clinical Guidelines Committee of the American College of Physicians. Noninvasive treatments for acute, subacute, and chronic low back pain: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2017;166(7):514–530.

    PubMed  Google Scholar 

  36. Joint Commission enhances pain assessment and management requirements for accredited hospitals. 2017; Accessed May 22, 2019.

  37. The Joint Commission. Clarification of the pain management standard. 2015; Accessed May 22, 2019.

  38. Kligler B, Buonora M, Gabison J, Jacobs E, Karasz A, McKee MD. “I Felt Like It Was God’s Hands Putting the Needles In”: a qualitative analysis of the experience of acupuncture for chronic pain in a low-income, ethnically diverse, and medically underserved patient population. J Altern Complement Med. 2015;21(11):713–719.

    PubMed  PubMed Central  Google Scholar 

  39. McKee MD, Kligler B, Blank AE, et al. The ADDOPT study (Acupuncture to Decrease Disparities in Outcomes of Pain Treatment): feasibility of offering acupuncture in the community health center setting. J Altern Complement Med. 2012;18(9):839–843.

    PubMed  PubMed Central  Google Scholar 

  40. Davis RT, Badger G, Valentine K, Cavert A, Coeytaux RR. Acupuncture for chronic pain in the Vermont Medicaid population: a prospective, pragmatic intervention trial. Glob Adv Health Med. 2018;7:2164956118769557.

    PubMed  PubMed Central  Google Scholar 

  41. White A, Richardson M, Richmond P, Freedman J, Bevis M. Group acupuncture for knee pain: evaluation of a cost-saving initiative in the health service. Acupunct Med. 2012;30(3):170–175.

    PubMed  PubMed Central  Google Scholar 

  42. Phillips KD, Skelton WD, Hand GA. Effect of acupuncture administered in a group setting on pain and subjective peripheral neuropathy in persons with human immunodeficiency virus disease. J Altern Complement Med. 2004;10(3):449–455.

    PubMed  Google Scholar 

  43. Asprey A, Paterson C, White A. ‘All in the same boat’: a qualitative study of patients’ attitudes and experiences in group acupuncture clinics. Acupunct Med. 2012;30(3):163–169.

    PubMed  Google Scholar 

  44. Tippens KM, Chao MT, Connelly E, Locke A. Patient perspectives on care received at community acupuncture clinics: a qualitative thematic analysis. BMC Complement Altern Med. 2013;13:293.

    PubMed  PubMed Central  Google Scholar 

  45. White A, Tough L, Eyre V, et al. Western medical acupuncture in a group setting for knee osteoarthritis: results of a pilot randomised controlled trial. Pilot Feasibility Stud. 2016;2:10.

    PubMed  PubMed Central  Google Scholar 

  46. Kligler B, Nielsen A, Kohrrer C, et al. Acupuncture therapy in a group setting for chronic pain. Pain Med. 2018;19:393–403.

    PubMed  Google Scholar 

  47. Rohleder L. Community acpuncture: making buckets from Ming vases. J Chinese Med. 2012;98:22.

    Google Scholar 

  48. Deadman P. Community acupuncture - making Ming vases from buckets: a reply to Lisa Rohleder. J Chinese Med. 2012;99:55–59.

    Google Scholar 

  49. Nielsen A, Anderson B, Citkovitz C, et al. Developing and employing a ‘responsive manualization’ in the ‘Acupuncture Approaches to Decrease Disparities in Outcomes of Pain Treatment’ comparative effectiveness study. Acupunct Med. 2019:964528419834015.

  50. Schnyer RN, Allen JJ. Bridging the gap in complementary and alternative medicine research: manualization as a means of promoting standardization and flexibility of treatment in clinical trials of acupuncture. J Altern Complement Med. 2002;8(5):623–634.

    PubMed  Google Scholar 

  51. Clean Needle Technique Manual 7th Edition; Best Practices for Acupuncture Needle Safety and Related Procedures. Council of Colleges of Acupuncture and Oriental Medicine; 2015.

  52. MacPherson H, Altman DG, Hammerschlag R, et al. Revised STandards for Reporting Interventions in Clinical Trials of Acupuncture (STRICTA): Extending the CONSORT statement. J Evid Based Med. 2010;3(3):140–155.

    PubMed  Google Scholar 

  53. Chen X, Chen B, Gu X, Shi Z, Chen Z. [Role of pressing hand in the clinical practice of acupuncture]. Zhongguo Zhen Jiu. 2017;37(11):1215–1217.

    PubMed  Google Scholar 

  54. Ni Y, Rosenbaum RL. Navigating the channels of traditional Chinese medicine. San Diego: Oriental Medicine Center; 1996.

  55. Bisio T, Butler F. Zheng Gu Tui na: a Chinese medical massage textbook. New York, NY: Zheng Gu Tui Na; 2007.

  56. Pritchard S.Tui na: the Chinese massage manual. Edinburgh: Churchill Livingstone; 2009.

  57. Nielsen A.Gua sha: A Traditional Technique for Modern Practice. 2nd ed: Elsevier Health Sciences UK; 2013.

  58. Kwong KK, Kloetzer L, Wong KK, et al. Bioluminescence imaging of heme oxygenase-1 upregulation in the Gua Sha procedure. J Vis Exp. 2009(30):pii: 1385.

  59. Asher GN, Jonas DE, Coeytaux RR, et al. Auriculotherapy for pain management: a systematic review and meta-analysis of randomized controlled trials. J Altern Complement Med. 2010;16(10):1097–1108.

    PubMed  PubMed Central  Google Scholar 

  60. Yeh CH, Chiang YC, Hoffman SL, et al. Efficacy of auricular therapy for pain management: a systematic review and meta-analysis. Evid Based Complement Alternat Med. 2014;2014:934670.

    PubMed  PubMed Central  Google Scholar 

  61. Yang LH, Duan PB, Hou QM, et al. Efficacy of Auricular Acupressure for Chronic Low Back Pain: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Evid Based Complement Alternat Med. 2017;2017:6383649.

    PubMed  PubMed Central  Google Scholar 

  62. You E, Kim D, Harris R, D'Alonzo K. Effects of Auricular Acupressure on Pain Management: A Systematic Review. Pain Manag Nurs. 2019;20(1):17–24.

    PubMed  Google Scholar 

  63. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–613.

    CAS  PubMed  PubMed Central  Google Scholar 

  64. Pain Interference: a brief guide to the PROMIS Pain Interference instruments. 2019; Accessed August 31, 2019.

  65. Tan G, Jensen MP, Thornby JI, Shanti BF. Validation of the Brief Pain Inventory for chronic nonmalignant pain. J Pain. 2004;5(2):133–137.

    PubMed  Google Scholar 

  66. Badia X, Muriel C, Gracia A, et al. [Validation of the Spanish version of the Brief Pain Inventory in patients with oncological pain]. Med Clin (Barc). 2003;120(2):52–59.

  67. Olsen MF, Bjerre E, Hansen MD, Tendal B, Hilden J, Hrobjartsson A. Minimum clinically important differences in chronic pain vary considerably by baseline pain and methodological factors: systematic review of empirical studies. J Clin Epidemiol. 2018;101:87–106.e102.

  68. Hays RD, Bjorner JB, Revicki DA, Spritzer KL, Cella D. Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items. Qual Life Res. 2009;18(7):873–880.

    PubMed  PubMed Central  Google Scholar 

  69. Fine PG, Portenoy RK, Ad Hoc Expert Panel on Evidence Review and Guidelines for Opioid Rotation Establishing “best practices” for opioid rotation: conclusions of an expert panel. J Pain Symptom Manage. 2009;38(3):418–425.

  70. Knotkova H, Fine PG, Portenoy RK. Opioid rotation: the science and the limitations of the equianalgesic dose table. J Pain Symptom Manage. 2009;38(3):426–439.

    CAS  PubMed  Google Scholar 

  71. Patient-Centered Outcomes Research Institute (PCORI).

  72. MacPherson H, Maschino AC, Lewith G, et al. Characteristics of acupuncture treatment associated with outcome: an individual patient meta-analysis of 17,922 patients with chronic pain in randomised controlled trials. PLoS One. 2013;8(10):e77438.

    CAS  PubMed  PubMed Central  Google Scholar 

  73. Hays RD, Spritzer KL, Fries JF, Krishnan E. Responsiveness and minimally important difference for the patient-reported outcomes measurement information system (PROMIS) 20-item physical functioning short form in a prospective observational study of rheumatoid arthritis. Ann Rheum Dis. 2015;74(1):104–107.

    PubMed  Google Scholar 

  74. Lee AC, Driban JB, Price LL, Harvey WF, Rodday AM, Wang C. Responsiveness and minimally important differences for 4 Patient-Reported Outcomes Measurement Information System Short Forms: Physical Function, Pain Interference, Depression, and Anxiety in Knee Osteoarthritis. J Pain. 2017;18(9):1096–1110.

    PubMed  PubMed Central  Google Scholar 

  75. U.S. Food and Drug Administration. FDA education blueprint for health care providers involved in the management or support of patients with pain (May 2017). 2017; Accessed May 22, 2019.

  76. Nahin RL, Boineau R, Khalsa PS, Stussman BJ, Weber WJ. Evidence-based evaluation of complementary health approaches for pain management in the United States. Mayo Clin Proc. 2016;91(9):1292–1306.

    PubMed  PubMed Central  Google Scholar 

  77. Chuang E, Hashai N, Buonora M, Gabison J, Kligler B, McKee MD. “It’s Better in a Group Anyway”: patient experiences of group and individual acupuncture. J Altern Complement Med. 2018;24(4):336–342.

    PubMed  PubMed Central  Google Scholar 

  78. Saper RB, Lemaster C, Delitto A, et al. Yoga, physical therapy, or education for chronic low back pain: a randomized noninferiority trial. Ann Intern Med. 2017;167(2):85–94.

    PubMed  PubMed Central  Google Scholar 

  79. McKee MD, Kligler B, Fletcher J, et al. Outcomes of acupuncture for chronic pain in urban primary care. J Am Board Fam Med. 2013;26(6):692–700.

    PubMed  PubMed Central  Google Scholar 

Download references


We acknowledge our Patient Partners, who made invaluable contributions to the design and implementation of the study: Judith Carol, John MacDonald, Linda Canales, Adelaida Suarez. We also acknowledge the caring and expert treatment provided by our research acupuncturists: Donna Mah, Dana Moore, Patricia Botet, Valentina Duque, Amy Pagliarini, Selina Greene, and Susanna Correia.


Funded by the Patient Centered Outcomes Research Institute (PCORI) Addressing Disparities # 1402-10857. PCORI award AD-1402-10857.

Author information



Corresponding author

Correspondence to Benjamin Kligler.

Ethics declarations

Conflict of Interest

The authors report no conflicts of interest.

Additional information

Previous Presentations

North American Primary Care Research Group (NAPCRG)

Electronic Supplementary Material


(DOCX 35 kb)

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

McKee, M.D., Nielsen, A., Anderson, B. et al. Individual vs. Group Delivery of Acupuncture Therapy for Chronic Musculoskeletal Pain in Urban Primary Care—a Randomized Trial. J GEN INTERN MED 35, 1227–1237 (2020).

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI:


  • pain
  • acupuncture therapy
  • health disparities
  • integrative medicine