| Literature DB >> 26066641 |
Linda Vixner1,2, Lena B Mårtensson3, Erica Schytt4,5.
Abstract
BACKGROUND: In a previous randomised controlled trial we showed that acupuncture with a combination of manual- and electrical stimulation (EA) did not affect the level of pain, as compared with acupuncture with manual stimulation (MA) and standard care (SC), but reduced the need for other forms of pain relief, including epidural analgesia. To dismiss an under-treatment of pain in the trial, we did a long-term follow up on the recollection of labour pain and the birth experience comparing acupuncture with manual stimulation, acupuncture with combined electrical and manual stimulation with standard care. Our hypothesis was that despite the lower frequency of use of other pain relief, women who had received EA would make similar retrospective assessments of labour pain and the birth experience 2 months after birth as women who received standard care (SC) or acupuncture with manual stimulation (MA).Entities:
Mesh:
Year: 2015 PMID: 26066641 PMCID: PMC4490752 DOI: 10.1186/s12906-015-0708-2
Source DB: PubMed Journal: BMC Complement Altern Med ISSN: 1472-6882 Impact factor: 3.659
Characteristics of the women, use of pain relief, labour outcomes and infant data
| MA ( | EA ( | SC ( | ||||
|---|---|---|---|---|---|---|
| Characteristics of the women | ||||||
| Age (years), mean (SD) | 26.5 (4.8) | 27.6 (4.6) | 28.3 (5.0) | |||
| Born in Sweden (%) | 91.3 | 89.7 | 90.2 | |||
| Higher education (%) | 35 | 44.8 | 54.2 | |||
| Single parent (%) | 14.5 | 18.4 | 15.7 | |||
| Smoking 3 months prior to pregnancy (%) | 23.0 | 19.5 | 19.7 | |||
| Body mass index in early pregnancy, mean (SD) | 24.4 (5.0) | 24.2 (3.8) | 24.9 (4.1) | |||
| Cervix dilatation at admission (cm), mean (SD) | 3.6 (1.5) | 4 (1.6) | 3.6 (1.8) | |||
| Membranes ruptured before admission (%) | 30.5 | 28.7 | 33.3 | |||
| MA vs. SC | EA vs. SC | MA vs. EA | ||||
| Labour outcomes and pain relief | ||||||
| OR (CI)a | OR (CI)a | OR (CI)b | ||||
| Nitrous Oxide (%) | 95.1 | 95.4 | 93.8 | 1.89 (0.43–8.37) | 1.52 (0.39–5.96) | 0.80 (0.17–3.75) |
| Sterile water injections (%) | 12.2 | 4.7 | 10.0 | 1.15 (0.42–3.14) | 0.40 (0.11–1.40) | 0.35 (0.10–1.17) |
| TENS (%) | 14.5 | 12.6 | 48.1 | 0.17 (0.77–0.37) | 0.16 (0.73–0.34) | 0.94 (0.38–2.33) |
| Morphine (%) | 10.8 | 1.2 | 6.3 | 1.87 (0.59–5.95) | 0.17 (0.20–1.53) | 0.09 (0.01–0.76) |
| Epidural analgesia (%) | 61.4 | 46.0 | 69.9 | 0.62 (0.32–1.20) | 0.35 (0.19–0.67) | 0.57 (0.31–1.06) |
| Mode of Delivery | ||||||
| Normal vaginal (%) | 74.7 | 74.7 | 74.7 | 0.97 (0.46–2.02) | 0.94 (0.46–1.91) | 0.97 (0.48–1.99) |
| Instrumental vaginal (%) | 16.9 | 19.5 | 12.0 | 1.52 (0.61–3.81) | 1.93 (0.81–4.63) | 1.27 (0.56–2.87) |
| Caesarean (%) | 8.4 | 5.7 | 13.3 | 0.64 (0.23–1.79) | 0.41 (0.14–1.26) | 0.65 (0.20–2.14) |
| HR (CI 95 %)a | HR (CI 95 %)a | HR (CI 95 %)b | ||||
| Duration of labour (minutes) mean (SD) c | 619 (378) | 500 (319) | 615 (398) | 1.03 (0.75–1.41) | 1.44 (1.06–1.97) | 1.41 (1.03–1.91) |
| Infant data | OR (CI)a | OR (CI)a | OR (CI)b | |||
| Transferal to neonatal care unit (%) | 3.6 | 11.5 | 4.9 | 0.91 (0.19–4.31) | 2.82 (0.82–9.68) | 3.11 (0.81–11.98) |
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| Apgar score <7 at 5 minutes (%) | 1.2 | 2.3 | 0 | 1.00 | 0.68 | 0.69 |
| Umbilical cord arterial pH, mean (SD) | 7.3 (0.7) | 7.2 (0.7) | 7.3 (0.8) | 1.00 | 0.52 | 0.45 |
| Umbilical cord venous pH, mean (SD) | 7.3 (0.7) | 7.3 (0.8) | 7.3 (0.6) | 1.00 | 0.68 | 0.69 |
| Head circumference (cm), mean (SD) | 34.9 (1.4) | 34.9 (1.3) | 35 (1.3) | |||
| Birth weight (grams), mean (SD) | 3508 (410) | 3590 (456) | 3654 (493) | |||
MA Manual acupuncture, EA Electro-acupuncture, SC Standard care, SD Standard deviation, OR Odds Ratio, HR Hazard Ratio, CI 95 % Confidence interval, SD Standard Deviation, TENS Transcutaneous Electrical Nerve Stimulation
aSC is reference
bMA is reference, adjusted for age and education
cFrom first treatment to partus
Fig. 1Flow chart of the study participants. MA = Manual acupuncture. EA = Electro-acupuncture. SC = Standard Care. ITT = Intention to treat
Experience of labour, acupuncture treatment and emotional wellbeing assessed at two months after birth
| MA | EA | SC | MA vs. SCa | EA vs. SCa | EA vs. MAb | |
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| Mean difference (CI 95 %)c | Mean difference (CI 95 %)c | Mean difference (CI 95 %)c | |||
| Recalled labour pain, mean (SE) | 69.3 (3.0) | 68.7 (2.8) | 70.1 (2.8) | 0.8 (−6.3–7.9) | 1.3 (−5.5–8.1) | 0.5 (−6.4–7.4) |
| Peak pain (measured during labour), mean (SE) | 81.6 (1.6) | 83.2 (1.6) | 85.8 (1.6) | 4.1 (0.3–8.1) | 2.6 (−1.2–6.4) | −1.6 (−5.3–2.2) |
| Difference between peak and recalled pain (SE) | 11.7 (3.0) | 14.1 (2.8) | 13.7 (2.8) | 2.0 (−5.1–9.2) | −0.4 (−7.2–6.4) | −2.4 (−9.3–4.5) |
| OR (CI 95 %)d | OR (CI 95 %)d | OR (CI 95 %)d | ||||
| Pain worse than expected (%) | 42.4 | 42.7 | 47.1 | 0.8 (0.4–1.6) | 0.8 (0.4–1.6) | 1.0 (0.5–2.0) |
| Sufficient pain relief (%) | 75.4 | 84.4 | 75.0 | 1.2 (0.5–2.9) | 2.1 (0.9–4.9) | 1.7 (0.7–4.0) |
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| Would choose the treatment in a forthcoming labour (%) | 52.2 | 50.6 | 0.8 (0.4–1.5) | |||
| Effective for reducing pain (%) | 34.3 | 50.7 | 1.8 (0.9–3.6) | |||
| Effective for relaxation (%) | 47.7 | 51.4 | 1.1 (0.5–2.1) | |||
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| Mean difference (CI 95 %)c | Mean difference (CI 95 %)c | Mean difference (CI 95 %)c | |||
| No. positive emotions, mean (SE) | 4.0 (0.4) | 4.4 (0.4) | 4.0 (0.4) | 0.0 (−0.9–1.0) | −0.4 (−1.4–0.5) | −0.5 (−1.4–0.5) |
| No. negative emotions, mean (SE) | 1.9 (0.2) | 1.7 (0.2) | 1.8 (0.2) | −0.1 (−0.7–0.5) | 0.7 (−0.5–0.6) | 0.2 (−0.4–0.7) |
| OR (CI 95 %)d | OR (CI 95 %)d | OR (CI 95 %)d | ||||
| Overall positive emotions (%) | 87.9 | 84.6 | 81.9 | 1.6 (0.6–4.1) | 1.3 (0.5–3.0) | 0.8 (0.3–2.1) |
| Positive birth experience (%) | 64.6 | 61.0 | 54.3 | 1.8 (0.9–3.7) | 1.4 (0.7–2.6) | 0.8 (0.4–1.5) |
| Depressive symptoms (EPDS ≥13) (%) | 4.5 | 5.1 | 8.3 | 0.3 (0.1–1.7) | 0.5 (0.1–2.1) | 3.1 (0.6–16.2) |
SC = Standard care, MA = Manual acupuncture, EA = Electro-acupuncture, SE = Standard Error, OR = Odds Ratio, CI = 95 % Confidence interval
aSC is reference
bMA is reference
cAnalysed by a generalized linear model (GLM) and adjusted for age and education
dAnalysed by logistic regression and adjusted for age and education