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1. Good Hope Hospital, Rectory Road, Sutton Coldfield, Birmingham B75 7RR, UK Email: Pabedin{at}doctors.org.uk (corresponding author)
2. Birmingham Women's Hospital, UK
3. Birmingham Women's Hospital, UK
| Abstract |
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Learning objectives:
Ethical issues:
Please cite this article as: Abedin P, Daniels J, Khan KS. Health technology assessment in obstetrics and gynaecology. Part 2: application in practice. The Obstetrician & Gynaecologist 2007;9:181–187.
Keywords anti-D prophylaxis / health technology assessment / hysterectomy / randomised controlled trial / systematic review
| Introduction |
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As clinicians, we are faced every day with making decisions about the optimal care for women with regard to effectiveness and cost. HTAs are increasingly being used to incorporate the most clinically and cost-effective evidence-based methods into our clinical practice. An example is the increasing use of early pregnancy assessment units to diagnose early pregnancy problems, such as miscarriage and ectopic pregnancy. Women spend a minimum of time as inpatients, thus cutting down on hotel costs, while being managed primarily by advanced nurse practitioners with access to medical expertise if needed. Another example is the community antenatal care of low-risk women. Hospital and travel costs to women are cut down, while there is continuity of care from community midwives.
The process of HTA in obstetrics and gynaecology is demonstrated by the examples given here.
| Routine antenatal anti-D prophylaxis for rhesus-negative women |
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Search strategy
All the major databases were searched, including MEDLINE, EMBASE, Best Evidence, CINAHL, the Health Management Information Consortium (HMIC), Science Citation Index, Cochrane Database of Systematic Reviews (CDSR), Cochrane Controlled Trials Register (CCTR) and the Centre for Reviews and Dissemination (CRD) databases (Database of Abstracts of Reviews of Effects [DARE], the NHS Economic Evaluation Database [NHS EED] and the Health Economic Evaluation Database [HEED]). They were also searched for current research and grey literature. See Box 1 for inclusion and exclusion criteria.
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Studies identified
A total of 11 studies were identified, which consisted of one RCT, one quasi-RCT, two before-and-after studies, six non-randomised trials with historical or geographical controls and one retrospective study. They varied in terms of patient selection and dosage regimens. Randomised controlled studies are ideal for intervention studies, as long as they are robust in their conduct and design. The authors, however, felt the need to include non-randomised studies as the dose used in the only proper RCT was lower than the one currently felt to be appropriate. It was found that the proportion of women sensitised in the intervention arm was lower than in the control arm in all of the studies. The difference varied between studies and this can be attributed to the dose or the schedule used. In two of the studies, 34 weeks of gestation was too late for routine prophylaxis.
Meta-analysis
As mentioned in Part 1 of this paper, meta-analysis should only be done if the studies in a systematic review are sufficiently homogenous. There are various statistical tests of heterogeneity and these should be used as a yardstick to ascertain whether meta-analysis should be carried out. As a result of the dosage schedule variation, the studies were divided into three groups: in group 1, a dosage regimen of anti-D 500 iu at 28 weeks and 34 weeks of gestation was used in primigravidae; in group 2, 1 500 iu at 28 weeks of gestation was used in primigravidae as well as multigravidae; and in group 3, 500 iu was used at 28 weeks of gestation in primigravidae. Tests for heterogeneity showed that there were non-significant differences among the three groups and, therefore, a meta-analysis was undertaken (Table 1).
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Economic analysis
An evaluation of the costs and cost effectiveness relevant to the NHS of providing routine anti-D prophylaxis to Rh-negative pregnant women was done. Before starting such an analysis, it is important to define meaningful endpoints and then decide, after reviewing the available literature, whether modelling techniques are necessary. The endpoints assessed in this evaluation were:
Eight previous economic evaluations were found after searching the literature.3–9 These included cost–benefit analysis, cost-effectiveness studies and studies using decision analytic modelling. A cost-effectiveness evaluation was then modelled of offering routine anti-D prophylaxis to all pregnant women who are Rh-negative and to primigravid Rh-negative pregnant women, in addition to the conventional antenatal anti-D prophylaxis used by the NHS.
It is important to consider all costs incurred in a cost-effectiveness study. The main considerations here are the costs incurred through providing anti-D immunoglobulin and administering the treatment (Box 2). As this study was undertaken from an NHS perspective, costs to women of travel and taking time off work were not accounted for. The economic benefits of the programme are the direct savings as a result of avoidance of sensitisation in future pregnancies.
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The gross annual cost of offering routine anti-D prophylaxis to all Rh-negative pregnant women in England and Wales is estimated to be £6.1 million for the 2x1 250 iu regimen and £6.8 million for the 2x500 iu regimen. If routine anti-D prophylaxis were to be offered to Rh-negative primigravid women only, the cost of drugs would be approximately £2.1 million for the 2x1 250 iu regimen and £2.4 million for the 2x500 iu regimen.
The cost per QALY was then calculated on the basis of the published literature relating to the impact on quality of life of long-term neurodevelopmental problems in low birthweight infants. It was found that routine anti-D prophylaxis given to all pregnant Rh-negative women is economically beneficial, with a maximum cost-effectiveness ratio of £30,000 per QALY, if the loss of a child, associated parental grief and subsequent high intervention pregnancies are valued at more than nine QALYs.
Routine anti-D prophylaxis has now been introduced as standard practice in the NHS.11
| Selection of women for laparoscopically assisted hysterectomy |
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The EVALUATE trial12 was designed to test the null hypothesis of no significant difference between laparoscopic and abdominal hysterectomy and between laparoscopic and vaginal hysterectomy with regard to each of the outcome measures. An economic evaluation was also carried out regarding the costs and cost effectiveness to the NHS.
Trial design
Two parallel, concurrently conducted, multi-centre randomised trials were designed. In one, the abdominal trial, laparoscopic hysterectomy was compared with abdominal hysterectomy. In the other, the vaginal trial, laparoscopic hysterectomy was compared with vaginal hysterectomy.
There were broad inclusion criteria for eligibility for randomisation (see Box 3). However, the exclusion criteria listed considerably narrowed the conclusions that can be drawn from the study, as many cases that would normally warrant surgery (such as a bulky fibroid uterus) were excluded. This calls into question the external validity of the study. An added source of selection bias was introduced by consultants being able to decide ultimately whether women were unsuitable for inclusion.
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The following parameters were determined:
Benign conditions such as menorrhagia can be distressing and disabling. The key objective of treatment is to improve quality of life. Any trial to discover the effect of an intervention should focus on assessing improvement of the original condition. In our opinion, the primary outcome in this study should be health status, rather than complications. If complications occur they reflect on health status measurement, thereby having an impact on the outcome of hysterectomy. The occurrence of any major complication is a composite outcome measure that is usually viewed with scepticism and suspicion in clinical trials, as it invalidates inferences about effectiveness.13 This composite outcome measure has another key problem: it cannot be symmetrically applied to the various trial arms. For example, abdominal hysterectomy cannot have unintended laparotomy as a complication. If laparotomy were to be considered an undesirable outcome, all of the women allocated to abdominal hysterectomy would inevitably be recorded as having suffered this outcome. Conversion to laparotomy in laparoscopic hysterectomy can only be considered a surgical complication in light of the reason for conversion (for example, uncontrollable bleeding). The woman should be informed and have consented to the possibility of such unintended open surgery being a necessary part of laparoscopy. These concerns have been highlighted in a number of published commentaries and need to be considered in our interpretation.14
It is not uncommon for good trials comparing laparoscopic with open procedures to report data on a primary outcome of key interest to wellbeing and complication rates as secondary outcomes. For example, a trial compared laparoscopically assisted versus open colectomy for colon cancer, with the time to tumour recurrence as the primary outcome measure.15 The recurrence rate was found to be similar between the two study groups. Here, there is clear information on effectiveness.
Statistical considerations
Sample size
In any study of this kind, it is important to establish the sample size required to detect a statistically significant difference at the protocol stage. In the abdominal versus laparoscopic hysterectomy arm of the trial, it was expected that 9% of women undergoing abdominal hysterectomy would have major complications. If an incidence of 4.5% of complications was to be observed in the laparoscopic hysterectomy group, a difference of 50% between the two groups, a clinically relevant outcome would be demonstrated. To do this, a total sample size of 487 women per trial arm would be needed, using 80% power and a two-sided type I error rate of 5%. Similarly, a complication rate of 4% was expected in the vaginal hysterectomy arm of the trial. If the laparoscopic hysterectomy complication rate was 2%, a difference of 50% between the two groups would be detected: again, a clinically relevant difference. To detect this difference, a sample size of 1 141 women per trial arm was required, using 80% power and a 5% error rate.
Keeping the imbalanced randomisation rate of 2:1 (laparoscopic: abdominal hysterectomy and laparoscopic: vaginal hysterectomy) for reasons mentioned above, the number of women undergoing hysterectomy was planned at 1 800: 1 048 for the abdominal and 752 for the vaginal trial. In the abdominal arm of the trial, it was planned that 349 women would have abdominal hysterectomy and 699 assisted laparoscopic hysterectomy. Out of the women in the vaginal trial, it was planned to recruit 501 to the vaginal laparoscopic hysterectomy arm and 251 to the vaginal hysterectomy arm of the trial. In fact, only 1 380 women were recruited in total: 292 to abdominal hysterectomy, 584 to assisted laparoscopic hysterectomy, 168 to vaginal hysterectomy and 336 to vaginal laparoscopic hysterectomy. Fifty-one surgeons had agreed to participate in the trial but only 43 surgeons actually recruited women.
Intention-to-treat analysis
One of the methods of avoiding attrition bias is to analyse patient data according to the type of operation to which they were initially randomised, irrespective of whether they underwent it or not. This was done in the trial.
Results
(See Table 2)
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A highly significant statistical difference was found in the SF-12 physical component summary score, the BIS score, the SAQ score and the EQ-5D score between abdominal hysterectomy and laparoscopically assisted vaginal hysterectomy, in favour of the latter.
Major complications
The assisted laparoscopic hysterectomy procedure had a statistically significantly higher major complication rate than abdominal hysterectomy. There was no significant difference in the rate of major complications between the vaginal and vaginal laparoscopic hysterectomy procedures. Major complications tended to happen before discharge from hospital.
A statistical method of analysis called logistic regression is used to identify any variables that can influence the outcome of a trial. Logistic regression was used here to identify variables that can influence the likelihood of a major complication.
Abdominal hysterectomy
The variables thought to be important in the prediction of a major complication in abdominal hysterectomy were:
However, none of these variables were found to be important predictors.
Vaginal hysterectomy
The following were thought to be important in influencing the rate of major complications in women having vaginal hysterectomy:
However, only previous pelvic surgery was found to influence the rate.
Laparoscopic hysterectomy
The variables thought to influence the major complication rates were:
A non-significantly higher rate of complications occurred in procedures where the larger 12 mm trocar was used. The bipolar method of securing haemostasis on the ovarian pedicle resulted in 8.6% of women having major complications, compared with 35.3% of women where the suturing method was used. This accounted for 25% of all major complications for laparoscopic hysterectomy. Uterine descent and haemostasis of both the uterine and ovarian pedicles are significantly important variables in the prediction of major complications.
Economic evaluation
A cost-effectiveness analysis was carried out in which the various routes of hysterectomy were compared. In the comparison of laparoscopic and vaginal hysterectomy, the mean cost per woman (£401) and QALY (0.0015) was higher in the former. The incremental cost-effectiveness ratio (ICER), the mean difference in costs divided by the mean difference in QALYs, was £267,333.
When laparoscopic and abdominal hysterectomy were compared, the laparoscopic procedure had a higher mean cost (£186) and higher mean QALY per woman (0.007). This generated an ICER of £26,571. Compared with vaginal and abdominal procedures, laparoscopic hysterectomy resulted in a higher mean time in the operating theatre and more extensive use of disposable instruments. This was, however, offset by a shorter mean hospital stay compared with abdominal hysterectomy.
Ultimately, it is the willingness of the NHS to pay the extra cost per additional QALY that will decide whether the laparoscopic route is adopted for hysterectomy. In terms of QALYs, there was little difference between laparoscopic and abdominal or vaginal hysterectomy. Vaginal hysterectomy appears to be more cost effective than laparoscopic hysterectomy, but cost effectiveness of the laparoscopic approach relative to abdominal hysterectomy was finely balanced. This HTA reminds us that hysterectomy complications are common, whatever the route. As such, training is an important issue, as the higher complication rate observed with laparoscopic hysterectomy can be considered to be the result of a learning curve effect.
| Conclusion |
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