Literature DB >> 27317030

Comparative health technology assessment of robotic-assisted, direct manual laparoscopic and open surgery: a prospective study.

Giuseppe Turchetti1, Francesca Pierotti2, Ilaria Palla2, Stefania Manetti2, Cinzia Freschi3, Vincenzo Ferrari3, Alfred Cuschieri4.   

Abstract

BACKGROUND: Despite many publications reporting on the increased hospital cost of robotic-assisted surgery (RAS) compared to direct manual laparoscopic surgery (DMLS) and open surgery (OS), the reported health economic studies lack details on clinical outcome, precluding valid health technology assessment (HTA).
METHODS: The present prospective study reports total cost analysis on 699 patients undergoing general surgical, gynecological and thoracic operations between 2011 and 2014 in the Italian Public Health Service, during which period eight major teaching hospitals treated the patients. The study compared total healthcare costs of RAS, DMLS and OS based on prospectively collected data on patient outcome in addition to healthcare costs incurred by the three approaches.
RESULTS: The cost of RAS operations was significantly higher than that of OS and DMLS for both gynecological and thoracic operations (p < 0.001). The study showed no significant difference in total costs between OS and DMLS. Total costs of general surgery RAS were significantly higher than those of OS (p < 0.001), but not against DMLS general surgery. Indirect costs were significantly lower in RAS compared to both DMLS general surgery and OS gynecological surgery due to the shorter length of hospital stay of RAS approach (p < 0.001). Additionally, in all specialties compared to OS, patients treated by RAS experienced a quicker recovery and significantly less pain during the hospitalization and after discharge.
CONCLUSIONS: The present HTA while confirming higher total healthcare costs for RAS operations identified significant clinical benefits which may justify the increased expenditure incurred by this approach.

Entities:  

Keywords:  Economic evaluation in health care; Economics of innovation; Health technology assessment; Robotic surgery; da Vinci

Mesh:

Year:  2016        PMID: 27317030      PMCID: PMC5266759          DOI: 10.1007/s00464-016-4991-x

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


Since 2000, the da Vinci surgical robot (Intuitive Surgical) has been the only system used clinically as an alternative to DMLS for the vast majority of laparoscopic operations. In 2013, surgeons performed approximately 523,000 robotic procedures worldwide, the commonest being hysterectomy and prostatectomy [1]. RAS has several advantages over DMLS, as the wristed end effectors permit seven degrees of freedom, thereby overcoming the kinematic constraints of DMLS, which together with motion scaling and HD stereoscopic imaging facilitates the execution of laparoscopic operations. One of the barriers to widespread adoption of this technology is its high capital, running and maintenance costs [2]. Health technology assessment (HTA) is a multidisciplinary evaluation of the clinical, economical, organizational and ethical implications concerning the adoption of new technologies, designed to provide healthcare providers with the relevant information necessary for informed decisions [3-6]. Although ideally performed when new and expensive technologies are first introduced, such an HTA has not been reported.

Materials and methods

Study design

The study enrolled patients from four regions (Lombardy, Piedmont, Tuscany and Lazio) by eight Italian major academic teaching hospitals during the period from February 2011 to May 2014 (details in appendix). The study as designed fulfilled all the required criteria of a HTA comparative study: prospectively collected non-randomized data on all consecutively enrolled patients, detailed analysis of costs of treatment from admission to 1 week after discharge, and evidence that clinical outcome was not demonstrably jeopardized by any of the three approaches used. The decision on the surgical approach was made by the attending physician in consultation with the patient. A case study form designed specifically for the collection of both clinical and health economic data was used. It comprised the following sections: enrollment/admission (T 0); first follow-up (T 1) 1 month after discharge; subsequent follow-ups (T 3, T 4, T 6) at 3, 4, 6 months. An additional form was used for data from patients needing re-intervention during hospitalization or re-admission within 30 days of discharge. A Web-based ad hoc database was developed for data collection using EasyPHP to create dynamic Web pages for data access and analysis. Patients’ confidentiality was by data anonymization using an alphanumeric univocal code. Each participating hospital identified a data manager, who accessed the data collection platform by username and password. Knowledge Discovery in Data process was implemented by different software and programming languages for automation of the data collection, extraction and analysis.

Clinical assessment

The T 0 stage included admission, operation, and postoperative course, including any postoperative re-intervention. It collected data on: operating time (min) defined as interval between entry and exit of patient from the operative room (OR); length of stay (days) including any re-admissions; pain level diary by visual linear analogue scale from admission until 7 days post-discharge; conversions classified as ‘enforced’ and ‘elective,’ using accepted definitions; morbidity; deaths including those following re-admission.

Assessment of health costs

Direct healthcare costs were obtained by interviews conducted with an official from the Accounting Department of the hospitals involved in the study. It included the hourly cost of all staff working in the OR, daily cost of stay in wards and intensive care units; purchase cost of disposables and devices; and retail price per unit dose of drugs used [7]. Costs of laboratory tests, instrumental investigations and specialist visits were based on National Tariffs List of Outpatient Specialist Care of the four regions [8-11]. Direct non-healthcare costs were estimated using the replacement value [12] and included data on patient’s and care provider’s expenditure on food, accommodation and transport. Indirect costs based on loss of productivity were calculated using the human capital approach [13]. Specifically, productivity losses were estimated from patient’s hospital stay and expected income and employment. Currency conversions from Euros to US dollars (€1 = $1.112) were calculated as of May 21, 2015 (http://www.oanda.com/lang/it).

Statistical analysis

Pearson Chi-square and Fisher’s exact tests were used to compare frequencies among groups. Continuous variables were analyzed by analysis of variance, or by nonparametric Kruskal–Wallis test depending on distribution of the data. Bonferroni post hoc tests or Mann–Whitney test with Bonferroni adjustment of p value was used for post hoc comparisons. Mixed-effects ML regression models for repeated measures were used to evaluate the level of pain during hospitalization and at home. Separated models were performed for each specialty. Variables with p value <0.001 on univariate analysis were included in the multivariate analysis. Statistical significance was set at 5 %.

Results

The study recruited 699 patients who underwent operations in general surgery (n = 310), gynecology (n = 175) and thoracic surgery (n = 214) (Table 1).
Table 1

Patients enrolled per center, surgical technique and type of intervention

Surgical specialtyType of interventionRASDMLSOSTotal
University Hospital of Pisa
Thoracic surgeryPulmonary lobectomy3602258
Thymectomy90817
Gynecological surgeryHysterectomy for benign disease34181870
Hysterectomy for carcinoma211224
Radical hysterectomy80614
Myomectomy31122366
Removal of uterus1001
Pelvis endometriosis1001
General surgeryPancreatectomy1001
Radical prostatectomy1701734
Cholecystectomy0101
Hemicolectomy0011
Anterior resection of rectum0112
Adrenalectomy2002
Total per Center1623398293
Hospital of Alessandria
General surgeryAnterior resection of rectum320032
Hospital of Arezzo
General surgeryAnterior resection of rectum129324
Campus Biomedico of Roma
General surgeryAnterior resection of rectum119020
Abdomino-perineal resection0101
Hemicolectomy3216
Total per Center1412127
Hospital of Grosseto
General surgeryAnterior resection of rectum1312429
European Oncology Institute of Milano
Thoracic surgeryPulmonary lobectomy203446100
Thymectomy0066
Pneumonectomy2024
Segmentectomy821626
Wedge0202
Chest wall1001
Total per Center313870139
Le Molinette University Hospital of Torino
General surgeryAnterior resection of rectum045146
Gastric bypass5633180
Radical prostatectomy0077
Total per Center56789143
San Matteo University Hospital of Pavia
General surgeryCholecystectomy001212
Total332182185699
Patients enrolled per center, surgical technique and type of intervention

Socio-demographic details

Of the 310 patients who underwent general surgical operations, 161 (52 %) underwent RAS, 113 (36 %) DMLS and 36 (12 %) OS. The characteristics of the groups differed. Thus, patients treated by OS were more likely to be male (p < 0.001). Additionally, patients undergoing RAS were significantly younger (60 ± 15 years) with respect to DMLS (65 ± 14 years) and OS (72 ± 8 years) (p < 0.001). The employment status of the patients also differed (p = 0.002): the majority of patients treated by OS were retired (78 %), while 37 % of the patients who underwent RAS were employed. The approach in patients undergoing gynecological operations was 95 (54 %) by RAS, 31 (18 %) by DMLS and 49 (28 %) by OS. The mean age varied significantly (p = 0.01), with those treated by OS being significantly younger (47 ± 11 years) than those operated by RAS (54 ± 13 years). The approach in patients requiring thoracic surgery was 100 (47 %) by OS, 76 (36 %) by RAS and 38 (18 %) by DMLS. No significant differences among the groups were found in the gender distribution, but the mean age was significantly lower (p = 0.01) in the RAS group, 64 ± 11 years, compared to both the DMLS group (69 ± 7 years) and the OS group (67 ± 11). The employment status was different (p = 0.008) with the highest proportion of retired patients being in the DMLS (74 %), whereas patients treated by RAS were more likely to be employed (41 %).

Clinical results and outcome

In general surgery, the hospital stay was significantly shorter in the RAS compared with DMLS and OS (p < 0.001). In gynecological surgery, the hospital stay was significantly shorter in the RAS versus OS (p < 0.001), but not against DMLS. Likewise, the hospital stay after thoracic surgery was significantly shorter in RAS compared to the OS group (p < 0.001), but not against DMLS. Additionally, in both gynecological and thoracic surgery, the hospital stay was significantly shorter after DMLS compared with OS (p < 0.001). The operating time was significantly longer in both RAS general and thoracic surgery compared to OS and DMLS (p < 0.001 and p = 0.03, respectively). In gynecological surgery, there were no significant differences in operating times between the groups (Table 2).
Table 2

Clinical outcome: length of hospital stay and operating time

Specialty/techniqueMedian [25–75 %] p valueRAS versus DMLS p valueRAS versus OS
Length of stay (days)
General (n = 310)
 RAS (n = 161)6.0 [5.0–8.0] p < 0.001 p < 0.001
 DMLS (n = 113)8.0 [6.00–12.0]
 OS (n = 36)8.5 [7.00–10.0]
Gynecological (n = 175)
 RAS (n = 95)3.0 [2.0–3.0] p = 0.17 p < 0.001
 DMLS (n = 31)3.0 [3.0–4.0]
 OS (n = 49)4.0 [4.0–6.0]
Thoracic (n = 214)
 RAS (n = 76)6.0 [5.0–7.0] p = 0.87 p < 0.001
 DMLS (n = 38)6.0 [5.0–7.0]
 OS (n = 100)7.0 [6.0–9.0]
Operating time (min)
General
 RAS380.0 [335.0–430.0] p < 0.001 p < 0.001
 DMLS285.0 [240.0-345.0]
 OS257.5 [225.0–300.0]
Gynecological
 RAS210.0 [170.0–260.00] p = 0.52 p = 0.11
 DMLS180.0 [145.0–225.0]
 OS185.0 [145.0–230.0]
Thoracic
 RAS299.5 [248.5–359.5] p = 0.03 p < 0.001
 DMLS266.0 [232.0–310.0]
 OS224.5 [181.0–261.0]
Clinical outcome: length of hospital stay and operating time

Conversions, re-interventions and re-admissions

Total conversions during T 0 phase were 22: 10 in RAS and 12 in DMLS operations. In general surgery, the 18 conversions consisted of 6 in RAS (3 to DMLS, 3 to OS) and 12 in DMLS (12 to OS—10 elective and 2 enforced). In gynecology, there was one elective conversion from RAS to DMLS. In thoracic surgery, two out of three conversions to OS were enforced and the third, elective. One elective conversion occurred during a re-intervention in T 0 in RAS general surgery to OS (see Appendix Table A1). Nine patients required re-intervention during T 0 phase: 5 in DMLS general surgery, 2 after RAS. Two other patients required re-intervention in thoracic surgery: 1 after OS and another after RAS (see Appendix Table A2). Eight patients required re-admissions within 30 days of discharge from hospital: 4 in general surgery, of which 1 after RAS, 2 after DMLS and 1 after OS. The two re-admissions in gynecology occurred after DMLS and OS. In thoracic surgery, two patients were re-admitted: 1 each after RAS and OS. These differences between the three approaches were not significant (see Appendix Table A3).

Intraoperative complications

These were encountered during 16 operations, being minor in 6 and major in 10. Minor complications occurred in general (1 DMLS and 2 RAS) and in thoracic surgery (all 3 OS). None altered the surgical treatment or subsequent clinical course. Major complications were encountered in all three specialties: 1 during RAS general surgery, 5 during gynecological operations (2 RAS and 3 OS) and 4 thoracic (2 RAS and 2 OS), again without significant differences between the groups (see Appendix Table A4).

Postoperative morbidity

Total postoperative morbidity comprised 17 minor and 35 major complications. The former were largely encountered in general surgery (4 after DMLS, 3 after OS and 6 after RAS), 1 after gynecological DMLS and 3 after open thoracic surgery. Major complications were encountered in general surgery (n = 19) and thoracic surgery (n = 16). The major complications after general surgery operations were encountered in 10 after RAS, 7 after DMLS and 2 after OS. The distribution of major complications after thoracic operations (9 after RAS, 6 after OS and 1 after DMLS) was similar (see Appendix Table A5). There were 54 medical postoperative complications: 22 in general surgery (9 in RAS, 8 after DMLS and 5 after OS), 1 in gynecology after DMLS and 31 after thoracic surgery (18 after OS, 11 in RAS and 2 after DMLS). The incidence of medical complications was similar between the groups (see Appendix Table A6).

Clinical benefits documented by present study

The most significant benefit of RAS operations across the three specialties was the reduced pain after surgery compared to OS and DMLS (Table 3).
Table 3

Pain level: mixed-effects ML regression models for repeated measures

Coeff.95 % CI p value
Pain during hospitalization
General surgery
 Unadjusted
  RASRef.
  DMLS0.023−0.105 to 0.1500.726
  OS0.2430.035–0.4510.022
 Adjusteda
  RASRef.
  DMLS−0.036−0.161 to 0.0880.564
  OS0.2270.027–0.4270.026
Gynecological surgery
 Unadjusted
  RASRef.
  DMLS0.3310.572–0.6050.018
  OS0.5180.295–0.740<0.001
Adjustedb
 RASRef.
 DMLS0.2990.026–0.5720.032
 OS0.4280.187–0.668<0.001
Thoracic surgery
 Unadjusted
  RASRef.
  DMLS0.4170.188–0.647<0.001
  OS−0.005−0.185 to 0.1750.957
 Adjustedc
  RASRef.
  DMLS0.3120.114–0.5110.002
  OS−0.023−0.178 to 0.1320.768
Pain after discharge
General surgery
 Unadjusted
  RASRef.
  DMLS0.004−0.095 to 0.1020.943
  OS0.3430.178–0.508<0.001
 Adjustedd
  RASRef.
  DMLS−0.046−0.141 to 0.0490.341
  OS0.2550.098–0.4120.001
Gynecological surgery
 Unadjusted
  RASRef.
  DMLS0.3330.128–0.5370.001
  OS0.5390.365–0.713<0.001
 Adjustede
  RASRef.
  DMLS0.2210.025–0.4170.027
  OS0.2750.110–0.4400.001
Thoracic surgery
 Unadjusted
  RASRef.
  DMLS0.3520.134–0.5700.002
  OS0.104−0.065 to 0.2730.229
 Adjustedf
  RASRef.
  DMLS0.2590.070–0.4480.007
  OS0.104−0.042 to 0.2500.164

aAdjusted model for length of stay and conversions

bAdjusted model for length of stay

cAdjusted model for pain at home

dAdjusted model for pain during hospitalization and conversions

eAdjusted model for pain during hospitalization and age

fAdjusted model for pain during hospitalization, postoperative complications and re-interventions

Pain level: mixed-effects ML regression models for repeated measures aAdjusted model for length of stay and conversions bAdjusted model for length of stay cAdjusted model for pain at home dAdjusted model for pain during hospitalization and conversions eAdjusted model for pain during hospitalization and age fAdjusted model for pain during hospitalization, postoperative complications and re-interventions

Pain during hospitalization

In general surgery, patients treated by RAS experienced less pain compared to OS (p = 0.026), with the pain level being similar to that experienced by DMLS patients. On adjusting for length of stay, the pain level was significantly lower in gynecological RAS versus both DMLS (p = 0.032) and OS (p < 0.001). On adjusting for pain after discharge, the pain level was significantly lower in thoracic RAS compared to DMLS (p = 0.002), but not against OS.

Pain after discharge

The pain level after discharge was significantly lower in general RAS patients compared to OS (p = 0.001), but not against DMLS. After gynecological RAS, patients experienced less pain compared to both DMLS (p = 0.027) and OS (p = 0.001). After thoracic RAS, the pain level was significantly lower compared to DMLS (p = 0.007), but not with patients after OS. Almost all patients undergoing RAS and DMLS in general and gynecological surgery reported their ability for daily activities and exercises to be good, very good or excellent, significantly better than after OS (p = 0.001 and p < 0.001, respectively). Hence, their quality of life was better during this post-discharge period.

Cost analysis

In the gynecological and thoracic specialties, the RAS approach incurred significantly higher direct healthcare costs compared to both DMLS and OS (p < 0.001), while costs between OS and DMLS were similar. In general surgery, direct healthcare costs of RAS were higher than those of OS (p < 0.001) but similar to those incurred by DMLS. General surgery performed by the open approach incurred higher direct healthcare costs compared to DMLS operations (p < 0.001). In general surgery, direct non-healthcare costs were similar between the three approaches, whereas in gynecology, the RAS approach incurred significantly higher costs compared to DMLS (p = 0.01). In thoracic surgery, direct non-healthcare costs were higher for DMLS compared to RAS (p = 0.003) and OS (p = 0.006). The only significant differences in indirect costs were observed in general and gynecological surgery. In general surgery, RAS indirect costs were lower than those of DMLS (p < 0.05), whereas in gynecology, RAS indirect costs were lower than those of OS (p < 0.001). Total costs of RAS were significantly higher than those of the two other approaches for gynecological and thoracic specialties (p < 0.001), but total costs for both OS and DMLS operations were similar. In general surgery, total costs of RAS were higher compared to OS (p < 0.001), but not against DMLS. Full details of the cost analysis data are shown in Table 4. After adjusting for centers and/or patients characteristics for both direct healthcare costs and overall costs, the RAS approach incurred significantly higher costs (Table 5).
Table 4

Costs associated with the different surgical approaches by specialty

TechniqueMedian [25–75 %] p value
$ RAS versus DMLSRAS versus OS
General surgery (n = 310)
Total direct healthcare costs
 RAS9928 [9158–10,893]11,038 [10,181–12,110] p = 0.52 p < 0.001
 DMLS9997 [7322–11,095]11,114 [8140–12,335]
 OS6764 [6084–8131]7520 [6764–9040]
Total direct non-healthcare costs
 RAS585 [340–922]650 [378–1025] p = 0.94 p = 0.44
 DMLS564 [399–878]627 [443–976]
 OS516 [368–889]574 [409–988]
Indirect costs
 RAS1064 [649–1313]1183 [721–1460] p = 0.02 p = 0.28
 DMLS1313 [1021–1525]1460 [1135–1695]
 OS1275 [1034–1543]1417 [1150–1715]
Total costs
 RAS10,822 [9995–12,065]12,031 [11,112–13,413] p = 0.35 p < 0.001
 DMLS10,778 [8660–12,242]11,983 [9628–13,610]
 OS7267 [6613–8684]8079 [7352–9655]
Gynecological surgery (n = 175)
Total direct healthcare costs
 RAS7902 [7507–8499]8785 [8346–9449] p < 0.001 p < 0.001
 DMLS4231 [3878–5129]4704 [4311–5702]
 OS4328 [3768–5610]4812 [4189–6237]
Total direct non-healthcare costs
 RAS351 [281–523]390 [312–581] p = 0.01 p = 0.76
 DMLS281 [210–381]312 [233–423]
 OS341 [260–590]379 [289–656]
Indirect costs
 RAS683 [502–859]759 [558–955] p = 0.38 p < 0.001
 DMLS739 [515–859]821 [572–955]
 OS964 [749–1202]1072 [833–1336]
Total costs
 RAS8739 [8110–9757]9716 [9016–10,847] p < 0.001 p < 0.001
 DMLS4936 [4733–6249]5488 [5262–6947]
 OS5753 [4609–8378]6396 [5124–9314]
Thoracic surgery (n = 214)
Total direct healthcare costs
 RAS11,917 [10,676–13,095]13,249 [11,869–14,558] p < 0.001 p < 0.001
 DMLS8887 [7738–9839]9880 [8603–10,939]
 OS8884 [7824–9878]9877 [8698–10,982]
Total direct non-healthcare costs
 RAS987 [595–1450]1097 [661–1612] p = 0.003 p = 0.32
 DMLS2065 [801–3655]2296 [890–4063]
 OS1043 [702–1626]1160 [780–1808]
Indirect costs
 RAS1202 [1053–2363]1336 [1171–2627] p = 0.28 p = 1.00
 DMLS1153 [886–1520]1282 [985–1690]
 OS1342 [1114–1564]1492 [1239–1739]
Total costs
 RAS13,856 [12,343–15,291]15,405 [13,722–17,000] p < 0.001 p < 0.001
 DMLS10,888 [9178–13,357]12,105 [10,204–14,850]
 OS10,574 [9188–11,737]11,756 [10,215–13,049]
Table 5

Adjusted costs differences by specialty

Specialty/techniqueCoeff.SE p valueInf. 95 %Sup. 95 %
Total direct healthcare costs
Generala
 DMLS versus RAS−1256.472424.27590.003−2088.037−424.9067
 OS versus RAS−3242.441458.0922<0.001−4140.285−2344.596
Gynecologicalb
 DMLS versus RAS−3256.859343.91<0.001−3930.91−2582.808
 OS versus RAS−2609.776325.5717<0.001−3247.885−1971.667
Thoracica
 DMLS versus RAS−3883.981534.3085<0.001−4931.206−2836.755
 OS versus RAS−3566.99409.8714<0.001−4370.323−2763.657
Total costs
Generala
 DMLS versus RAS−1299.863466.90790.005−2214.986−384.7402
 OS versus RAS−3542.22508.8817<0.001−4539.61−2544.83
Gynecologicalb
 DMLS versus RAS−3380.546421.8935<0.001−4207.442−2553.65
 OS versus RAS−2248.316411.214<0.001−3054.28−1442.351
Thoracica
 DMLS versus RAS−3775.765676.8711<0.001−5102.408−2449.122
 OS versus RAS−4001.056499.1097<0.001−4979.294−3022.819

aAdjusted model considering centers’ effects

bAdjusted model for age

Costs associated with the different surgical approaches by specialty Adjusted costs differences by specialty aAdjusted model considering centers’ effects bAdjusted model for age

Discussion

As required by HTA, the present prospective comparative study collected data on clinical outcome in addition to health economic costs. The study was necessary as the HTA question: does RAS represent good value for money? has not been answered; especially as from the health providers’ and societal perspectives, the issue is not simply that RAS is more expensive, but rather—is the extra cost of RAS justified by improved patient outcome? The present study answers, to a limited extent, the second question. Thus, while confirming higher direct healthcare costs (but not direct non-medical and indirect health costs), it documents that RAS reduces hospital stay and pain before and after discharge. The pain reported by patients after discharge associated with essential daily activities during the first week enhances the quality of life during this period. An additional benefit of RAS is reduced hospital stay with a trend toward accelerated recovery leading to less pain and improved quality of life during the first post-discharge week, ranging from good to excellent. The alleged benefit of RAS is based on retrospective studies and mixed systemic reviews/meta-analysis. It is not surprising that retrospective studies often produce conflicting results, due to the influence of uncontrolled variables. This is exemplified by distal pancreatectomy. In one study which compared DMLS with RAS for distal pancreatectomy for tumors, spleen-preserving RAS was associated with significantly higher spleen preservation rates, shorter operating time, less blood loss and shorter mean hospital stay [14]. However, a similar but prospective non-randomized study did not report any significant difference. Depending on availability of robot, all patients suitable for distal pancreatectomy were assigned either to DMLS or to RAS DP. The median operative time was longer, and procedures cost was double in RAS group. Conversion to open and the median length of postoperative hospital stay were similar, as was pancreatic fistula rate (57 and 50 %) [15]. In colorectal surgery, a meta-analysis on RAS total mesorectal resection for rectal cancer compared DMLS-TME with RAS-TME. The latter exhibited significantly fewer conversions, lower positive circumferential resection margins, and erectile dysfunction [16]. Thus for this operation, RAS appears to carry clinical benefit over DMLS, despite increased cost. Two publications in gynecology on health-related quality of life [17, 18] reported results in favor of RAS, which are in agreement with the results of the present prospective HTA study. The first [17] used a HRQoL questionnaire to study patient satisfaction in patients undergoing RAS hysterectomy for cancer. The HRQoL questionnaire was completed at the first postoperative visit in 109 patients. These reported the pain level as being highest on the second postoperative day, but two-thirds reported no pain by the first postoperative visit, and only 18 % of patients needed narcotics for pain control. Most patients resumed normal activities within 11 days after surgery and reported a satisfaction rating of 6.7 on a 7-point scale. The other report [18] studied the HRQoL in 211 patients also undergoing RAS resection of gynecologic cancer. The patients completed a QoL questionnaire before surgery and postoperatively at 1 and 3 weeks, and at 3, 6 and 12 months. Overall HRQoL and body image decreased at 1 week after surgery but returned to baseline by 3 weeks. Physical and functional well-being decreased at 1 week after surgery but returned to baseline by 3 months. Another study [19] compared the postoperative pain management and costs in endometrial cancer patients who underwent a RAS hysterectomy. In this study, RAS patients needed a lower number of drug interventions (p < 0.001), with a 50 % reduction in the pain medication costs on the day of surgery (p < 0.01), and a 56 % cost reduction for the rest of their hospital stay (p < 0.01). The pain reduction demonstrated by this retrospective study is confirmed by the present prospective HTA study. A large statewide health economic study involving 2247 patients analyzed the utilization and hospital charges associated with RAS versus DMLS and OS treatment of endometrial cancer [20]. In this study, 29 % of patients were treated by RAS, 10 % by DMLS and 61 % by OS. The mean length of hospital stay was significantly shorter after RAS and DMLS compared to OS (p < 0.001). The median hospital charge was $51,569, $37,202 and $36,492, for RS, LS and OS (p < 0.001). A recent report in thoracic surgery is relevant to the present HTA study. The study was designed to determine a realistic medical fee for RAS thoracic surgery for the Japanese National Health Insurance System (JNHIS) introduced in 2012 [21]. It concluded that the projected cost to the JNHIS for RAS thoracic interventions would only be sustainable by institutions, which performed more than 300 RAS interventions per year. In conclusion, the present HTA study indicates that the issue of increased costs of RAS is complex and multifactorial. RAS is likely to be cost beneficial in terms of reduced hospital stay, reduced pain and improved quality of life, provided certain conditions are met, including case load and case mix. Below is the link to the electronic supplementary material. Supplementary material 1 (DOCX 74 kb)
  10 in total

1.  Health technology assessment. Evaluation of biomedical innovative technologies.

Authors:  Giuseppe Turchetti; Enza Spadoni; Eliezer Elie Geisler
Journal:  IEEE Eng Med Biol Mag       Date:  2010 May-Jun

2.  Health-related quality of life following robotic surgery: a pilot study.

Authors:  Susie Lau; Sylvie Aubin; Zeev Rosberger; Iris Gourdji; Jeffrey How; Raphael Gotlieb; Nancy Drummond; Ioana Eniu; Jeremie Abitbol; Walter Gotlieb
Journal:  J Obstet Gynaecol Can       Date:  2014-12

Review 3.  Robotic versus laparoscopic total mesorectal excision for rectal cancer: a meta-analysis of eight studies.

Authors:  Binghong Xiong; Li Ma; Wei Huang; Qikang Zhao; Yong Cheng; Jingshan Liu
Journal:  J Gastrointest Surg       Date:  2014-11-14       Impact factor: 3.452

4.  Utilization of and charges for robotic versus laparoscopic versus open surgery for endometrial cancer.

Authors:  Xinhua Yu; Deirdre Lum; Tuyen K Kiet; Katherine C Fuh; James Orr; Rebecca A Brooks; Stefanie M Ueda; Lee-May Chen; Daniel S Kapp; John K Chan
Journal:  J Surg Oncol       Date:  2012-11-05       Impact factor: 3.454

5.  Hospital costs for robot-assisted laparoscopic radical hysterectomy and pelvic lymphadenectomy.

Authors:  Pétur Reynisson; Jan Persson
Journal:  Gynecol Oncol       Date:  2013-04-17       Impact factor: 5.482

6.  Cost-Benefit Performance of Robotic Surgery Compared with Video-Assisted Thoracoscopic Surgery under the Japanese National Health Insurance System.

Authors:  Naohiro Kajiwara; James Patrick Barron; Yasufumi Kato; Masatoshi Kakihana; Tatsuo Ohira; Norihiko Kawate; Norihiko Ikeda
Journal:  Ann Thorac Cardiovasc Surg       Date:  2014-05-16       Impact factor: 1.520

7.  Outpatient robotic hysterectomy: clinical outcomes and financial analysis of initial experience.

Authors:  Mostafa A Borahay; Pooja R Patel; Cemil Hakan Kilic; Gokhan Sami Kilic
Journal:  Int J Med Robot       Date:  2014-01-06       Impact factor: 2.547

8.  Prospective quality of life outcomes following robotic surgery in gynecologic oncology.

Authors:  Jeremie Abitbol; Susie Lau; Agnihotram V Ramanakumar; Joshua Z Press; Nancy Drummond; Zeev Rosberger; Sylvie Aubin; Raphael Gotlieb; Jeffrey How; Walter H Gotlieb
Journal:  Gynecol Oncol       Date:  2014-05-04       Impact factor: 5.482

9.  A prospective non-randomised single-center study comparing laparoscopic and robotic distal pancreatectomy.

Authors:  Giovanni Butturini; Isacco Damoli; Lorenzo Crepaz; Giuseppe Malleo; Giovanni Marchegiani; Despoina Daskalaki; Alessandro Esposito; Sara Cingarlini; Roberto Salvia; Claudio Bassi
Journal:  Surg Endosc       Date:  2015-01-01       Impact factor: 4.584

10.  Robotic approach improves spleen-preserving rate and shortens postoperative hospital stay of laparoscopic distal pancreatectomy: a matched cohort study.

Authors:  Shi Chen; Qian Zhan; Jiang-zhi Chen; Jia-bin Jin; Xia-xing Deng; Hao Chen; Bai-yong Shen; Cheng-hong Peng; Hong-wei Li
Journal:  Surg Endosc       Date:  2015-03-20       Impact factor: 4.584

  10 in total
  5 in total

1.  Robot-assisted versus laparoscopic rectal resection for cancer in a single surgeon's experience: a cost analysis covering the initial 50 robotic cases with the da Vinci Si.

Authors:  Luca Morelli; Simone Guadagni; Valentina Lorenzoni; Gregorio Di Franco; Luigi Cobuccio; Matteo Palmeri; Giovanni Caprili; Cristiano D'Isidoro; Andrea Moglia; Vincenzo Ferrari; Giulio Di Candio; Franco Mosca; Giuseppe Turchetti
Journal:  Int J Colorectal Dis       Date:  2016-07-31       Impact factor: 2.571

2.  Robotic thoracic surgery results in shorter hospital stay and lower postoperative pain compared to open thoracotomy: a matched pairs analysis.

Authors:  Christopher Darr; Danjouma Cheufou; Gerhard Weinreich; Thomas Hachenberg; Clemens Aigner; Sandra Kampe
Journal:  Surg Endosc       Date:  2017-03-08       Impact factor: 4.584

3.  Robot-assisted pancreatoduodenectomy with the da Vinci Xi: can the costs of advanced technology be offset by clinical advantages? A case-matched cost analysis versus open approach.

Authors:  Gregorio Di Franco; Valentina Lorenzoni; Matteo Palmeri; Niccolò Furbetta; Simone Guadagni; Desirée Gianardi; Matteo Bianchini; Luca Emanuele Pollina; Franca Melfi; Domenica Mamone; Carlo Milli; Giulio Di Candio; Giuseppe Turchetti; Luca Morelli
Journal:  Surg Endosc       Date:  2021-10-27       Impact factor: 3.453

Review 4.  A systematic review of robotic versus open and video assisted thoracoscopic surgery (VATS) approaches for thymectomy.

Authors:  Katie E O'Sullivan; Usha S Kreaden; April E Hebert; Donna Eaton; Karen C Redmond
Journal:  Ann Cardiothorac Surg       Date:  2019-03

5.  Minimally invasive distal pancreatectomy: a case-matched cost-analysis between robot-assisted surgery and direct manual laparoscopy.

Authors:  Gregorio Di Franco; Andrea Peri; Valentina Lorenzoni; Matteo Palmeri; Niccolò Furbetta; Simone Guadagni; Desirée Gianardi; Matteo Bianchini; Luca Emanuele Pollina; Franca Melfi; Domenica Mamone; Carlo Milli; Giulio Di Candio; Giuseppe Turchetti; Andrea Pietrabissa; Luca Morelli
Journal:  Surg Endosc       Date:  2021-02-03       Impact factor: 4.584

  5 in total

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