| Literature DB >> 31009470 |
Stephanie Nicolian1,2,3, Thibault Butel4, Laetitia Gambotti5, Manon Durand3, Antoine Filipovic-Pierucci3, Alain Mallet5, Mamadou Kone5, Isabelle Durand-Zaleski4, Marc Dommergues1,6.
Abstract
OBJECTIVE: To assess the cost-effectiveness of acupuncture for pelvic girdle and low back pain (PGLBP) during pregnancy.Entities:
Mesh:
Year: 2019 PMID: 31009470 PMCID: PMC6476478 DOI: 10.1371/journal.pone.0214195
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow chart.
Baseline clinical data.
| Acupuncture (n = 96) | Control (n = 103) | ||
|---|---|---|---|
| Age in years, mean (SD) | 31 (5.2) | 30.7 (4.6) | |
| Gestational age at inclusion, in weeks, mean (SD) | 28 (4.7) | 27.4 (4.2) | |
| Pre gestational BMI (kg/m 2) mean (SD) | 23.7 (4.4) | 24.1 (5.3) | |
| Parity | 47 (49%) | 45 (44%) | |
| 32 (33%) | 37 (36%) | ||
| 17 (18%) | 21 (20%) | ||
| Scarred uterus | 10 (10.4%) | 8 (7.8%) | |
| Hospital | 60 (62.5%) | 62 (60.2%) | |
| 19 (19.8%) | 21 (20.4%) | ||
| 7 (7.3%) | 7 (6.8%) | ||
| 5 (5.2%) | 4 (3.9%) | ||
| 4 (4.2% | 4 (3.9%) | ||
| 1 (1%) | 5 (4.9%) | ||
| Professional in charge | 69 (71.9%) | 90 (87.4%) | |
| 25 (26%) | 12 (11.7%) | ||
| 2 (2.1%) | 1 (1%) | ||
| Gestational age when pain started (weeks) | 19.5 (5.6) | 18.8 (5.1) | |
| Pain location | 55 (57%) | 58 (56%) | |
| 23 (24%) | 30 (29%) | ||
| 69 (72%) | 75 (73%) | ||
| 35 (36%) | 45 (44%) | ||
| 43 (45%) | 36 (35%) | ||
| VAS pain | 72 (14) | 72 (15) | |
| at nclusion | 54 (15) | 54 (17) | |
| mean(SD) | 40 (26) | 41 (26) | |
| NRS pain | 7.4 (1.3) | 7.4 (1.3) | |
| at nclusion | 5.6 (1.4) | 5.5 (1.6) | |
| mean(SD) | 4.2 (2.5) | 4.3 (2.6) | |
| Mean Oswestry | Index at inclusion (SD) | 36 (13) | 38 (14) |
| Sick leave(N%) | at inclusion | 44 (46.8%) | 45 (45.5%) |
VAS: visual analogic scale
NRS: numerical rating scale
Baseline clinical data were similar in the acupuncture group and in the control group
Results for pain and disability.
| Controls | Difference | p | ||
|---|---|---|---|---|
| Mean pain Numerical Rating Scale (NRS) | 7,5 (7.2; 7.7) | - | - | |
| Percentage of days | 30% (24; 37) | 22% (12; 31) | <0.001 | |
| Percentage of days with NRS ≤4/10, after imputation | 48% (41; 55) | 13% (3.6; 22.1) | 0.007 | |
| Mean NRS at week 5 before imputation | 6,6 (6.0; 7.0) | - | - | |
| Difference in NRS between baseline and week 5 before imputation | -0,9 (-1.5; -0.4) | 1,2 (0.5; 2.0) | <0.001 | |
| Mean NRS at week 5, after imputation | 6 (5.5; 6.5) | - | - | |
| Difference in NRS between baseline and week after imputation | -1,4 (-1.9; -1.0) | 0.9 (0.2; 1.5) | 0.008 | |
| Difference in pain visual analogic scale (VAS) between baseline and week 5 after imputation | -17 (-22; -12) | 8 (0.6; 15) | 0.02 | |
| Mean Oswestry disability index (ODI), baseline | 38.2 (35.6; 41.0) | - | - | |
| ODI at week 5 (SD),before imputation | 37.0(32.9; 41.1) | - | - | |
| Mean difference in ODI between baseline and week 5 before imputation | -0.3 (-3.8; 3.2) | 5.5 (0.4; 9.7) | 0.02 | |
| ODI at week 5 after imputation | 35.7(32.4; 38.9) | - | - | |
| Mean difference in ODI between baseline and week 5 after imputation | 2.7 (0.0; 5.4) | 3.5 (0.4; 9.7) | 0.07 | |
| Mean ODI throughout pregnancy | 38.7 (35.6; 42.5) | -5.7(-11; -1) | 0.02 | |
| Mean ODI throughout pregnancy | 38 (36.0; 41.2) | 5 (0.8; 9) | 0.02 | |
| Percentage | 10% (6; 15) | 12% (3; 21) | 0.003 | |
| Percentage | 15% (11; 21) | 7% (-2; 16) | <0.001 |
Regarding pain and disability, primary and secondary outcome measurements favoured acupuncture plus standard care (N = 96) vs. standard care alone (N = 103)
*NRS: Pain numerical rating scale, self-reported daily (worst pain in the past 24 hours).
**Percentage of days from inclusion to delivery. Results are given as raw observed data, and after imputation of missing data.
*** calculated between inclusion and delivery
Total cost, total effectiveness, incremental cost, incremental effectiveness and incremental cost-effectiveness ratio.
All costs are in 2016 €.
| Variable expressed as mean or % (95%CI) | acupuncture | control | difference | Incremental cost effectiveness |
|---|---|---|---|---|
| Effectiveness (% of days with pain rating ≤4/10) | 48%(41; 55) | 13%(3.6; 22.1) | ||
| Total healthcare costs | 1512(1286;1899) | 1452(1247;1690) | 60(39;199) | 22 per additional day (dominant) |
| Total healthcare and nonhealthcare costs | 2635(2269;3125) | 2947(2494;3482) | 312(-966; 325) |
Fig 2Cost effectiveness plane, outcome: number of days with pain numerical rating scale ≤ 4/10, costs from the societal perspective.
We performed 2,000 bootstrap replications of the cost effectiveness ratio. The outcome was the number of days with pain NRS ≤ 4/10 between inclusion and delivery, expressed as a difference between acupuncture and standard care. All costs were taken into account. Acupuncture was always more effective and had a 70% probability of being less costly than routine care. Results for reduction on pain scales and weeks with disability were similar (S3 Fig). Fig 3 shows the probability of the intervention being cost effective using the base case data for a range of cost effectiveness ceilings. There was a nearly 100% probability that the cost per day of pain averted was below €100.
Fig 3Acceptability curve (price for 1 day with pain NRS ≤ 4/10) from the societal perspective.
Fig 3 shows the probability of the intervention being cost effective using the base case data for a range of cost effectiveness ceilings. Hospital: hospital costs only, Insurance: health insurance costs added, patient: costs at the patient’s charge added, society: costs related to absenteeism and presenteeism added.