| Literature DB >> 34129042 |
Timothy Pham1, Qinli Ma1, Abiy Agiro1, Julie Bukowiec2, Terry Flannery2.
Abstract
OBJECTIVE: To compare prescribed opioid use and invasive surgical interventions between patients using acupuncture and those using non-steroidal anti-inflammatory drugs (NSAIDs)/physical therapy (PT).Entities:
Keywords: Acupuncture; NSAIDs; Opioids; Pain Medicine; Physical Therapy; Surgical Procedures
Mesh:
Substances:
Year: 2021 PMID: 34129042 PMCID: PMC8633741 DOI: 10.1093/pm/pnab187
Source DB: PubMed Journal: Pain Med ISSN: 1526-2375 Impact factor: 3.750
Figure 1.Flow chart of patient attrition. NSAIDs = nonsteroidal anti-inflammatory drugs; PT = physical therapy.
Baseline demographics and clinical characteristics of patients using acupuncture and nonsteroidal anti-inflammatory drugs/physical therapy (NSAIDs/PT) after propensity score matching
| Acupuncture | NSAIDs/PT | Standardized Difference | |
|---|---|---|---|
| Sample size, n | 52,346 | 52,346 | |
| Age, years, mean (SD) | 45.6 (13.17) | 45.5 (15.64) | <0.01 |
| Female, n (%) | 33,825 (64.6) | 33,667 (64.3) | <0.01 |
| Geographic region, n (%) | 0.06 | ||
| Northeast | 13,488 (25.8) | 13,696 (26.2) | |
| West | 32,760 (62.6) | 32,815 (62.7) | |
| Midwest | 1,610 (3.1) | 1,451 (2.8) | |
| South | 3,199 (6.1) | 3,008 (5.7) | |
| Missing/Unknown | <10 | <10 | |
| Insurance plan type, n (%) | 0.14 | ||
| CDHP | 7,530 (14.4) | 7,706 (14.7) | |
| HMO | 5,368 (10.3) | 5,392 (10.3) | |
| PPO | 39,447 (75.4) | 39,248 (75.0) | |
| Other | <10 | <10 | |
| Urban/rural classification based on zip code, n (%) | <0.01 | ||
| Urban | 47,298 (90.4) | 47,230 (90.2) | |
| Rural | 3,791 (7.2) | 3,779 (7.2) | |
| Missing/Unknown | 1,257 (2.4) | 1,337 (2.6) | |
| Proportions of Race/Ethnicity based on zip code, mean % (SD) | |||
| Asian | 10% (17%) | 10% (17%) | <0.01 |
| Black | 10% (12%) | 10% (12%) | <0.01 |
| White | 70% (24%) | 70% (24%) | <0.01 |
| Hispanic | 20% (22%) | 20% (22%) | <0.01 |
| Household income based on zip code, median (IQR) | $107,481 ($53,481) | $105,471 ($51,102) | 0.03 |
| Deyo-Charlson Comorbidity Index Score, mean (SD) | 0.3 (0.83) | 0.3 (0.80) | <0.01 |
| Deyo-Charlson Comorbidity Index Score Categories, n (%) | 0.06 | ||
| 0 | 40,606 (77.6) | 40,234 (76.9) | |
| 1 | 8,157 (15.6) | 8,488 (16.2) | |
| 2 | 2,208 (4.2) | 2,262 (4.3) | |
| 3+ | 1,375 (2.6) | 1,362 (2.6) | |
| Comorbidities of interest, n (%) | |||
| Depression | 6,513 (12.4) | 6,531 (12.5) | <0.01 |
| Anxiety | 8,411 (16.1) | 7,861 (15.0) | 0.03 |
| Substance use disorders | 699 (1.3) | 716 (1.4) | <0.01 |
| Other mental health | 6,058 (11.6) | 5,513 (10.5) | 0.03 |
| Number of pain diagnoses, mean (SD) | 2.3 (2.11) | 2.3 (1.95) | <0.01 |
| Relevant pain diagnoses | |||
| Back pain | 24,253 (46.3) | 24,117 (46.1) | <0.01 |
| Neck pain | 12,917 (24.7) | 12,781 (24.4) | <0.01 |
| Headache/migraine | 8,305 (15.9) | 9,509 (18.2) | <0.01 |
| Any opioid use, n (%) | 12,446 (23.8) | 12,205 (23.3) | 0.01 |
| Hospital admissions, mean (SD) | 0.1 (0.4) | 0.1 (0.3) | <0.01 |
| ED visits, mean (SD) | 0.2 (0.7) | 0.2 (0.7) | <0.01 |
| Number of unique medications (GPI-8), mean (SD) | 5.3 (5.3) | 5.3 (5.1) | 0.01 |
CDHP = consumer-driven health plan; ED = emergency department; GPI-8 = Generic Product Indicator-8 digits; HMO = health maintenance organization; PPO = preferred provider organization; SD = standard deviation.
Effect of acupuncture on opioid use and dosage stratified by baseline opioid use
| Acupuncture | NSAIDs/PT | DID AbsoluteDifference | ||||||
|---|---|---|---|---|---|---|---|---|
| BaselinePeriod | Follow-upPeriod | AbsoluteDifference | BaselinePeriod | Follow-upPeriod | AbsoluteDifference | |||
| Naive opioid users (without baseline opioid use) | ||||||||
| Acupuncture (n = 39,900) | NSAIDs/PT (n = 40,141) |
| ||||||
| Number of members with opioid use post-index, n (%) | 6,333 (15.9%) | 9,068 (22.6%) | −6.7 | <.001 | ||||
| Number of fills, mean (SD) | … | 1.6 (1.4) | … | … | 1.7 (1.6) | … | −0.1 | <.001 |
| Total days' supplied, mean (SD) | … | 12.9 (25.7) | … | … | 14.5 (33.0) | … | −1.6 | .004 |
| Total quantity dispensed, mean (SD) | … | 62.7 (119.8) | … | … | 66.4 (139.8) | … | −3.7 | .450 |
| Total MME per day, mean (SD) | … | 37.8 (23.6) | … | … | 36.7 (23.5) | … | 1.1 | <.001 |
| Above 50 MME per day threshold, n (%) | … | 1518 (24.0%) | … | … | 1996 (22.0%) | … | 2.0 | <.001 |
| Continuous opioid users (with baseline opioid use) | ||||||||
| Acupuncture (n = 12,446) | NSAIDs/PT (n = 12,205) | Adjusted | ||||||
| Number of members with opioid use post-index, n (%) | 6,127 (49.2%) | 6,897 (56.5%) | −7.3 | <.001 | ||||
| Number of fills, mean (SD) | 5.1 (5.7) | 5.1 (5.6) | 0.0 | 5.4 (6.4) | 5.8 (6.4) | 0.4 | −0.4 | <.001 |
| Total days' supplied, mean (SD) | 108.1 (173.0) | 113.1 (176.9) | 5.0 | 125.1 (198.1) | 133.1 (201.6) | 8.0 | −3.0 | .296 |
| Total quantity dispensed, mean (SD) | 409.5 (693.4) | 418.7 (680.3) | 9.2 | 496.0 (923.0) | 516.3 (898.2) | 20.3 | −11.1 | .276 |
| Total MME per day, mean (SD) | 44.9 (77.3) | 48.4 (185.3) | 3.5 | 53.9 (114.2) | 53.3 (107.8) | −0.6 | 4.1 | .092 |
| Above 50 MME per day threshold, n (%) | 1,431 (23.4%) | 1,595 (26.0%) | 2.6% | 1,835 (26.6%) | 1,935 (28.1%) | 1.5% | 1.1 | .084 |
P values generated from Wilcoxon-Mann-Whitney tests for continuous measures and χ2 goodness of fit tests for categorical measures.
Adjusted P values for interaction term of therapeutic group and time were outputted from generalized estimating equation models.
DID = difference in difference; MME = morphine milligram equivalents; NSAIDs = nonsteroidal anti-inflammatory drugs; PT = physical therapy; SD = standard deviation.
Figure 2.Effect of acupuncture on post-index invasive surgical therapies. *Statistically significant different at .05 level.
Effect of acupuncture on healthcare utilization and total costs
| Acupuncture (n = 52,346) | NSAIDs/PT (n = 52,346) | DID Absolute Difference | Adjusted | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Baseline Period | Follow-up Period | Absolute Difference | Baseline Period | Follow-up Period | Absolute Difference | ||||
| All-cause | |||||||||
| Inpatient hospitalization | |||||||||
| N (%) | 3,323 (6.3) | 4,756 (9.1) | 2.7% | 3,257 (6.2) | 4,331 (8.3) | 2.1% | 0.7% | .0 | |
| Count, mean (SD) | 0.1 (0.4) | 0.1 (0.5) | 0.03 | 0.1 (0.4) | 0.1 (0.5) | 0.03 | 0.01 | .19 | |
| ED visits | |||||||||
| N (%) | 7,732 (14.8) | 6,818 (13.0) | −1.7% | 7,656 (14.6) | 9,164 (17.5) | 2.9% | −4.6% | <.001 | |
| Count, mean (SD) | 0.2 (0.7) | 0.2 (0.7) | −0.02 | 0.21 (0.7) | 0.25 (0.8) | 0.05 | −0.07 | <.001 | |
| Physician office visits | |||||||||
| N (%) | 48,899 (93.4) | 50,889 (97.2) | 3.8% | 50,243 (96.0) | 50,675 (96.8) | 0.8% | 3.0% | <.001 | |
| Count, mean (SD) | 7.4 (7.6) | 9.8 (9.6) | 2.4 | 6.6 (6.6) | 7.8 (7.4) | 1.2 | 1.2 | <.001 | |
| Pain-related | |||||||||
| Inpatient hospitalization | |||||||||
| N (%) | 1,426 (2.7) | 1,855 (3.5) | 0.8% | 1,513 (2.9) | 2,023 (3.9) | 1.0% | −0.2% | .54 | |
| Count, mean (SD) | 0.01 (0.1) | 0.03 (0.2) | 0.01 | 0.01 (0.2) | 0.03 (0.2) | 0.01 | 0.00 | .67 | |
| ED visits | |||||||||
| N (%) | 4,126 (7.9) | 3,450 (6.6) | −1.3% | 4,368 (8.3) | 5,402 (10.3) | 2.0% | −3.3% | <.001 | |
| Count, mean (SD) | 0.1 (0.5) | 0.1 (0.4) | −0.02 | 0.1 (0.4) | 0.1 (0.5) | 0.03 | −0.04 | <.001 | |
| Physician office visits | |||||||||
| N (%) | 34,703 (66.3) | 44,127 (84.3) | 18.0% | 36,547 (69.8) | 42,421 (81.0) | 11.2% | 6.8% | <.001 | |
| Count, mean (SD) | 2.8 (4.4) | 4.7 (6.6) | 1.9 | 2.2 (3.3) | 3.1 (4.0) | 0.9 | 1.0 | <.001 | |
| Total all-cause costs | |||||||||
| Total medical and pharmacy costs | $9,884 | $13,609 | $3,725 | $9,322 | $11,716 | $2,394 | $1,331 | .006 | |
| Medical costs | $8,686 | $11,955 | $3,269 | $7,487 | $9,717 | $2,230 | $1,039 | .01 | |
| Hospitalization cost | $2,474 | $3,415 | $941 | $2,480 | $2,950 | $470 | $471 | .02 | |
| ED cost | $594 | $516 | −$78 | $571 | $664 | $93 | −$171 | <.001 | |
| Pharmacy costs | $1,904 | $2,182 | $278 | $2,011 | $2,280 | $269 | $9 | .66 | |
Adjusted P values for interaction term of therapeutic group and time were outputted from generalized estimating equation models.
Members with third-party pharmacy coverage excluded.
DID = difference in difference; ED = emergency department NSAIDs = nonsteroidal anti-inflammatory drugs; PT = physical therapy; SD = standard deviation.