·Clinical
Research· Current Issue· ·Achieve· ·Search Articles· ·Online Submission· ·About IJO· PMC
Citation: Vedana G,
Cardoso FG, Marcon AS, Araújo LEK, Zanon M, Birriel DC, Watte G, Jun AS.
Cumulative sum analysis score and phacoemulsification competency learning
curve. Int J Ophthalmol 2017;10(7):1088-1093
Cumulative sum analysis score and phacoemulsification competency learning curve
Gustavo Vedana1,2, Filipe G. Cardoso2,
Alexandre S. Marcon2, Licio E. K. Araújo2, Matheus Zanon2,
Daniella C. Birriel2, Guilherme Watte3, Albert S. Jun1
1Wilmer Eye Institute, Johns Hopkins Medical Institutions, Baltimore 21287, USA
2Irmandade Santa Casa, Misericórdia, Porto Alegre 90020160, Brazil
3Federal University of Rio Grande do Sul, Porto Alegre 90035003, Brazil
Correspondence to: Matheus Zanon. Pavilhão Pereira Filho, Irmandade Santa Casa,
Misericórdia, Porto Alegre 90020160, Brazil. mhgzanon@hotmail.com
Received:
2016-01-07
Accepted: 2017-05-11
AIM: To
use the cumulative sum analysis score (CUSUM) to construct objectively the
learning curve of phacoemulsification competency.
METHODS: Three
second-year residents and an experienced consultant were monitored for a series
of 70 phacoemulsification cases each and had their series analysed by CUSUM
regarding posterior capsule rupture (PCR) and best-corrected visual acuity. The
acceptable rate for PCR was <5% (lower limit h) and the unacceptable rate
was >10% (upper limit h). The acceptable rate for best-corrected visual
acuity worse than 20/40 was <10% (lower limit h) and the unacceptable rate
was >20% (upper limit h). The area between lower limit h and upper limit h
is called the decision interval.
RESULTS: There
was no statistically significant difference in the mean age, sex or cataract
grades between groups. The first trainee achieved PCR CUSUM competency at his
22nd case. His best-corrected visual acuity CUSUM was in the
decision interval from his third case and stayed there until the end, never
reaching competency. The second trainee achieved PCR CUSUM competency at his 39th
case. He could reach best-corrected visual acuity CUSUM competency at his 22nd
case. The third trainee achieved PCR CUSUM competency at his 41st
case. He reached best-corrected visual acuity CUSUM competency at his 14th
case.
CONCLUSION: The
learning curve of competency in phacoemulsification is constructed by CUSUM and
in average took 38 cases for each trainee to achieve it.
KEYWORDS: phacoemulsification learning curve; cumulative sum analysis; score;
posterior capsule rupture; best corrected visual acuity; cataract surgery
DOI:10.18240/ijo.2017.07.11
Citation: Vedana G, Cardoso FG, Marcon AS, Araújo LEK,
Zanon M, Birriel DC, Watte G, Jun AS. Cumulative sum analysis score and
phacoemulsification competency learning curve. Int J Ophthalmol
2017;10(7):1088-1093
Phacoemulsification (phaco), despite being one of the
most performed surgeries in the world is one of the hardest to master and the
learning process is well discussed elsewhere[1-6]. Multiple studies have addressed the best way to learn
this procedure[7-9] and some
describe a learning curve based on complications[4-5,10-11]. Few try to
answer the question that arises from residency training: how many surgeries are
necessary for a resident to become proficient in phaco?
Salowi et al[12]
showed that the cumulative sum analysis score (CUSUM) can be an objective way
to measure competency in cataract surgery through a graphical representation,
but they had a small number of surgeries and trainees at different stages in
order to construct a learning curve. Thus, use of this objective score to
construct the learning curve and give a competency achievement score for
different trainees with the same background experience in cataract surgery
since their first phaco case is lacking.
Our goal in this study is to prospectively analyse
this method of graphical representation and objectively construct the learning
curve of phaco competency for three residents showing how many surgeries they
have to do before achieving proficiency.
Study Design
Three second-year residents with 30 or
more cases of extracapsular cataract extraction (ECCE) and an experienced
consultant were monitored for a series of 70 phaco cases each. The two outcomes
analysed were posterior capsule rupture (PCR) and best corrected visual acuity
(BCVA) worse than 20/40 within 1-month post-operative follow-up.
Two-hundred-and-eighty sequenced surgeries were done
from 2012 to 2013. The patients were from the Ophthalmology Service of
Irmandade Santa Casa de Misericórdia de Porto Alegre. The study was reviewed
and approved by the Institutional Review Board of that institution, and
informed consent was given by all patients who underwent a complete
ophthalmologic examination including manifest refraction, slit-lamp evaluation,
tonometry, and fundoscopy before surgery. Cataract was the only reason for
impaired vision and if any other causes were found the patient was excluded
from the analyses.
Statistical Procedure Data were presented as mean±SD or frequency and percentage. The
normality of distribution assumption was checked by Shapiro-Wilk test. We
performed associations between variables with the Pearson’s χ2
test with standardized residuals. For comparing multiple group comparisons, we
used ANOVA test with Bonferroni correction. A P value of less than 0.05
was considered statistically significant. Data were analysed using Stata
software, version 11 (StataCorp, College Station, TX, USA).
Cumulative Sum Analysis The CUSUM scores were used as a quantitative measurement. CUSUM scores
of consecutives performances of an individual are displayed with the x-axis
representing the consecutive series of procedures and the y-axis representing
the CUSUM score[13]. It was applied in
ophthalmology to assess the learning curve in phacoemulsification (Salowi et
al[12]) and has been used for clinical
performances in surgical procedures to define competency[14-16].
Mathematically, the CUSUM score is determined using
the formula: CUSUM Cn=max
(0, Cn-1 + Xn – k).
Where C=case; n=nth phaco case in the
series; Xn=outcome measure for the nth phaco case
considering binary outcomes Xn=0 (success) and Xn=1
(failure). For continuous measurement, Xn is standardized to have a
zero mean and unit standard deviation (SD). k=reference value defined for a
standard performance in terms of acceptable and unacceptable failure rates,
which was calculated on basis of π1 and π2 using methods
described by Hawkins and Olwell[17] and cataract
outcomes of PCR and BCVA from a 12 798 case series reported by the National
Cataract Surgery Registry[18].
The acceptable rate for PCR was less than 5% and the
unacceptable rate was more than 10% of surgeries performed. For a visual
outcome worse than 20/40, the acceptable rate was less than 10% and the
unacceptable rate was more than 20% of patients operated (Table 1).
Table 1 Cumulative sum charting design for monitoring
cataract surgery performance
Parameters |
Acceptable rate of performance, p1 |
Unacceptable rate of performance, p2 |
Decision interval (upper limit h) |
Decision interval (lower limit h) |
IC-ARL |
OC-ARL |
PCR |
5% |
0.072 |
1.0 |
0.5 |
20 |
10 |
BCVA |
10% |
0.145 |
2.0 |
1.0 |
52 |
16 |
PCR: Posterior capsule rupture; BCVA: Best corrected
visual acuity; IC-ARL: In control-average run length; OC-ARL: Out of
control-average run length. h and the ARLs determine the degree of sensitivity
of the chart and are selected by the user. Reference value k, h, IC-ARL and
OC-ARL were described by Hawkins & Olwell[17].
At the start, CUSUM C0=0. At the nth
procedure, Xn is the outcome measure for the nth
procedure. Performance with an acceptable standard has a negative score, and
the chart is either flat or slopes downwards. Performance with an unacceptable
standard has a positive score, and the CUSUM chart slopes upwards. Because the
equation has a maximum value between zero and the score of sum, the graph will
not slope downward below zero in our series (examples 1 and 5 of Figures 1 and
2, respectively). When consecutive phacos performed by the same surgeon are of
an unacceptable standard, the graph will continue to slope upward until it crosses
the first line drawn across the graph, lower limit h (LLh), of an area called
the decision interval (h) (Figures 1 and 2). When this occurs for the first
time, the CUSUM chart is said to signal unsatisfactory performance, but
expected, and continued observation is still necessary (in the learning
curve)-examples 2 and 6 of Figures 1 and 2, respectively. If the decision
interval (h) is crossed through its second line, upper limit h (ULh) (Figure
1), a deteriorating or substandard performance is shown and an implementation
of corrective actions to prevent subsequent patients being harmed is advised
(revise the learning method or technique). After crossing the ULh, the CUSUM
chart is restarted. Restart should theoretically be at zero or the x-axis.
However, to obtain a chart that looks like a learning curve, it restarts at the
ULh, which now acts as the new x-axis (examples 3 and 7 of Figures 1 and 2,
respectively). We considered achievement of competency when the CUSUM curve
crosses the LLh from above and never crosses the ULh again, meaning that the
failure rates of that surgeon are within an acceptable rate (examples 4 and 8
of Figures 1 and 2, respectively). The decision interval (h) is determined by
specifying the in-control average run length and out-of-control average run
length. In-control average run length is the average number of consecutive
performance required for a CUSUM chart to cross a decision interval or signal
during the period when the operator is performing at an acceptable level. This
is akin to significance or false positive (type I error) in hypothesis testing.
On the other hand, out-of-control average run length is the average number of
procedures performed before the CUSUM chart signals, during the period when an
individual is performing at an unacceptable level. It is a measure of
sensitivity and is akin to power (type II error) or false negative error in
hypothesis testing.
Figure 1 Examples of CUSUM analysis curves and
parameters for occurrence of posterior capsule rupture A: Acceptable standard only with negative
scores; B: Unsatisfactory performance, but expected (in the learning curve); C:
Deteriorating or substandard performance-implementation of corrective actions
to prevent subsequent patients being harmed is advised (revise the learning
method or technique); D: Achievement of competency.
Figure 2 Examples of CUSUM analysis curves and
parameters for best-corrected visual acuity A: Acceptable standard only with negative scores; B: Unsatisfactory
performance, but expected (in the learning curve); C: Deteriorating or
substandard performance-implementation of corrective actions to prevent
subsequent patients being harmed is advised (revise the learning method or
technique); D: Achievement of competency.
Procedure The procedures were done with Alcon INFINITI® Vision system
machine (Alcon Surgical, Fort Worth, Texas, USA) by the divide and conquer
technique after peribulbar anaesthesia. The intraocular lens (IOL) was
calculated with SRK/T formula and an Alcon MA60AC IOL (Alcon Surgical) was
implanted. Two self-sealing incisions (2.75 mm and 1.1 mm), a 5.5 mm
curvilinear capsulorhexis, and in the bag IOL implantation at the end were
always attempted. Senior residents were the auxiliary surgeons through the
whole procedure in the first 10 cases, except in the occurrence of PCR where they
became primary surgeon until the end of the case. The need for continuous
supervision through the whole procedure after the tenth case was determined if
the CUSUM chart signalled unsatisfactory, but expected performance in the
learning curve. If deteriorating or substandard performance was shown by the
CUSUM chart the senior resident was responsible for identifying the steps the
trainee was failing and do them on the next case while instructing the trainee.
This corrective action was taken before the trainee could attempt the entire
procedure again.
Table 2 shows demographic data and the Lens Opacities
Classification System 3 (LOCS3) for cataracts among groups. There was no
statistically significant difference in the mean age, sex or cataract grades
between groups.
Table 2 Clinical characteristics of the study baseline
Characteristics |
Female |
Age (a) |
Cataract typeb: |
||
Total |
187 (67) |
71±9 |
93 (33) |
13 (5) |
59 (21) |
Consultant |
43 (61) |
71±10 |
23 (33) |
3 (4) |
15 (21) |
Trainee 1 |
44 (63) |
69±9 |
20 (29) |
4 (6) |
17 (24) |
Trainee 2 |
49 (70) |
72±10 |
28 (40) |
2 (3) |
14 (20) |
Trainee 3 |
51 (73) |
72±8 |
22 (31) |
4 (6) |
13 (19) |
Sample size: 280 patients; Data are presented as No.
(%) or mean±SD. bCataract type, as defined by LOCS3[19]. Comparison by Pearson’s χ2 test
(standardized residuals) or ANOVA test (Bonferroni correction) between groups: P>0.05
for all comparisons.
Table 3 lists the other complications done by all the
residents. The procedures performed by the main surgeon presented no
complications.
Table 3 Summary of other complications
Complications |
n (%) |
Conversion
to ECCE due to incomplete capsulorhexis |
6 (2.1) |
Dropped
nucleus and vitreous loss |
1 (0.4) |
IOL
displacement to anterior chamber |
1 (0.4) |
Sutured
incision after incision burn |
1 (0.4) |
Corneal
decompensation |
1 (0.4) |
IOL
reposition |
2 (0.7) |
Aphakia |
1 (0.4) |
Total |
13 (4.6) |
Data are presented as No. (%). ECCE: Extracapsular cataract extraction; IOL: Intraocular lens.
Figures 3 and 4 show the PCR and BCVA CUSUM charts,
respectively, for the consultant and the learning curve of the three trainees
(residents) since their first phaco case. The consultant had a flat line
underneath the LLh, without PCR cases in the 70th phaco series and
all patients with BCVA better than 20/40. The first trainee had PCR in his
fourth case and crossed the LLh, demanding continuous observation (in learning
curve). In his 11th case, another PCR happened and the ULh was
crossed. Implementation of corrective actions was necessary. From his 16-21st
surgeries he was in the decision interval (h) and continuous observation was
still necessary. Considering the PCR CUSUM alone competency was achieved in his
22nd case when LLh was crossed from above though another PCR
occurred in his 67th case. On the other hand, his BCVA CUSUM was in
decision interval (h) since his third case and stayed there until the end,
never reaching competency. Trainee 1 despite being at an acceptable level of
PCR at the end of his training program did not achieve competency in BCVA. The
most common cause for that was persistent corneal oedema at 1-month
post-operative and high astigmatism following phaco conversion to ECCE due
complication at capsulorhexis performance which was not included in this CUSUM
analysis.
Figure 3 The CUSUM scores of consecutives performances
of the consultant (A) and three trainees (residents) (B, C, D) since their
first phaco case showing posterior capsule rupture and their learning
curve The x-axis represents the consecutive series of procedures and the
y-axis representing the CUSUM score. LLh: Lower limit h of 5%; ULh: Upper limit
h of 10%.
Figure 4 The CUSUM scores of consecutives performances
of the consultant (A) and three trainees (B, C, D) since their first phaco case
showing BCVA outcomes and their learning curve The x-axis represents the consecutive series of procedures and the
y-axis representing the CUSUM score. LLh: Lower limit h of 10% for BCVA worse
than 20/40. ULh: Upper limit h of 20% for BCVA worse than 20/40.
The second trainee (Figure 3) had PCR in his 11th
case and crossed the LLh, demanding continuous observation afterwards (in
learning curve). In his 17th case, another PCR happened and the ULh
was crossed. Implementation of corrective action was necessary. Despite that,
he had another PCR in his 23rd case and another corrective action
was done. From his 33-38th surgeries he was in the decision interval
(h) and continuous observation was still necessary. Considering the PCR CUSUM
alone, competency was achieved in his 39th case when LLh was crossed
from above though another PCR occurred in his 55th case. On the
other hand, his BCVA CUSUM (Figure 4) was in decision interval (h) from his
6-21st case, when he could reach the BCVA CUSUM competency at his 22nd
case.
The third trainee had PCR in his fourth case and
crossed the LLh, demanding continuous observation afterwards (in learning
curve). In his ninth case, another PCR happened and the ULh was crossed.
Implementation of corrective action was necessary. Despite that, he had another
PCR in his 14th and 20th cases and additional corrective
action occurred. From his 35-40th surgeries he was in the decision
interval (h) and continuous observation was still necessary.
Considering the PCR CUSUM alone competency was
achieved in his 41st case. On the other hand, his BCVA CUSUM was in
decision interval (h) from his 8-13th case, when he could reach
competency at his 14th case.
As shown by Salowi et al[12],
CUSUM evaluation is faster in detecting trends of unacceptable performance. It
is objective and dynamic, tracks performance over time with benchmarks and
easily displays a graphic for the phacoemulsification learning curve. As in
other precision microsurgeries with desirable low failure rates, phaco has a
learning process that pursues a nearly perfect outcome at the expense of
repetition[15-16,19-23]. When this point is reached in our training program,
the resident has the ability to perform this procedure with competency without
supervision, achieving a constant rate of acceptable failure. This is the goal
of ophthalmology residency training programs in phaco, but it would better if
they also could promptly identify unacceptable patterns of the learning curve
to take corrective measures earlier, enhancing the learning process with fewer
surgeries necessary to become proficient. This is a potential improvement in
residency training programs that CUSUM analysis could help with, together with
its objective measurement of competency for compliance and certification
processes.
In this study, we could demonstrate for the first time
the amount of surgeries necessary for each trainee achieve competency, since
their first phaco case considering two major markers for phacoemulsification
success[2,5,10-11]. In average, it took 38 cases to achieve an
acceptable 10% rate of PCR and 20% rate of BCVA worse than 20/40 at one-month
post-operative follow-up as standardized by the National Cataract Surgery
Registry[18]. In addition, their learning curves
were constructed from comparable cataract grade surgeries, which could be a
determining factor in their performances[24-25]. The average of 38 cases to achieve competency in our
series likely reflects each resident’s experience with 30 or more ECCE
procedures prior to starting phaco training.
Proficiency in phacoemulsification cannot take in
consideration only the PCR CUSUM chart, despite it being one of the most
important factors for surgical success. The BCVA CUSUM chart is also very
important and signals to others intraoperative mistakes that could be leading
to a poor visual outcome. In our series, the second and third trainees achieved
BCVA CUSUM competency before PCR CUSUM competency, which did not occur with the
first trainee. In this series, we considered the residents competent in
phacoemulsification only if they achieved both CUSUM chart competency. We
believe that PCR CUSUM chart competency showed technical dexterity intrinsic to
the procedure, but if the BCVA CUSUM chart competency was not achieved
phacoemulsification proficiency was incomplete.
Our study has some limitations. We only had three
trainees that did the surgeries at same surgical centre. It would be better if
we could have a larger sample size and different training programs to test it,
enabling us to show an average number necessary to achieve competency in phaco
for a broader range of residency training programs.
Also, there are other parameters that can be studied
for competency in phaco, like surgery time, that should be analysed by CUSUM.
In addition, the standards we applied in our study for trainees are likely to
be different from standards applied to experienced surgeons. In our series,
only one trainee was able to achieve competency comparable to that of an
experienced surgeon[2,4-5,11,18]. However, our goal was not to
show when the resident is comparable to an experienced surgeon, but when he
reaches the point in his own learning curve that doing phaco without assistance
will respect the basic principal of medicine: “first, do no harm.”
Conflicts
of Interest: Vedana G, None; Cardoso FG, None; Marcon AS,
None; Araújo LEK, None; Zanon M, None; Birriel DC, None;
Watte G, None; Jun AS, None.
1 Kelman CD. Phaco-emulsification and aspiration. A
new technique of cataract removal. A preliminary report. Am J Ophthalmol 1967;64(1):23-35. [CrossRef]
2 Irvine S, Francis IC, Kappagoda MB, Haylen MJ,
Alexander S, Schumacher RS, Boytell K. The second two hundred cases of
endocapsular phacoemulsification: the learning curve levels off. Aust N Z J Ophthalmol 1994;22(4):281. [CrossRef]
3 Tarbet KJ, Mamalis N, Theurer J, Jones BD, Olson RJ.
Complications and results of phacoemulsification performed by residents. J Cataract Refract Surg
1995;21(6):661-665. [CrossRef]
4 Prasad S. Phacoemulsification learning curve:
experience of two junior trainee ophthalmologists. J Cataract Refract Surg 1998;24(1):73-77. [CrossRef]
5 Martin KR, Burton RL. The phacoemulsification
learning curve: per-operative complications in the first 3000 cases of an
experienced surgeon. Eye (Lond) 2000;14(Pt
2):190-195. [CrossRef] [PubMed]
6 Woodfield AS, Gower EW, Cassard SD, Ramanthan S.
Intraoperative phacoemulsification complication rates of second- and third-year
ophthalmology residents a 5-year comparison. Ophthalmology 2011; 118(5):954-958. [CrossRef] [PubMed]
7 Santerre N, Blondel F, Racoussot F, Laverdure G,
Karpf S, Dubois P, Rouland JF. A teaching medical simulator:phacoemulsification
in virtual reality. J Fr Ophtalmol
2007;30(6):621-626. [CrossRef]
8 Mamalis N. Teaching surgical skills to residents. J Cataract Refract Surg
2009;35(11):1847-1848. [CrossRef] [PubMed]
9 Belyea DA, Brown SE, Rajjoub LZ. Influence of
surgery simulator training on ophthalmology resident phacoemulsification
performance. J Cataract Refract Surg
2011;37(10):1756-1761. [CrossRef] [PubMed]
10 Lee JS, Hou CH, Yang ML, Kuo JZ, Lin KK. A
different approach to assess resident phacoemulsification learning curve:
analysis of both completion and complication rates. Eye (Lond) 2009;23(3):683-687. [CrossRef] [PubMed]
11 Randleman JB, Wolfe JD, Woodward M, Lynn MJ,
Cherwek DH, Srivastava SK. The resident surgeon phacoemulsification learning
curve. Arch Ophthalmol
2007;125(9):1215-1219. [CrossRef] [PubMed]
12 Salowi MA, Choong YF, Goh PP, Ismail M, Lim TO.
CUSUM: a dynamic tool for monitoring competency in cataract surgery
performance. Br J Ophthalmol
2010;94(4):445-449. [CrossRef] [PubMed]
13 Williams SM, Parry BR, Schlup MM. Quality control:
an application of the cusum. BMJ
1992;304(6838):1359-1361. [CrossRef]
14 Lim TO, Soraya A, Ding LM, Morad Z. Assessing
doctors' competence: application of CUSUM technique in monitoring doctors'
performance. Int J Qual Health Care
2002;14(3):251-258. [CrossRef] [PubMed]
15 Bergman S, Feldman LS, Anidjar M, Demyttenaere SV,
Carli F, Metrakos P, Tchervenkov J, Paraskevas S, Fried GM. "First, do no
harm": monitoring outcomes during the transition from open to laparoscopic
live donor nephrectomy in a Canadian centre. Can J Surg 2008;51(2):103-110. [PMC free article] [PubMed]
16 Van Rij AM, McDonald JR, Pettigrew RA, Putterill
MJ, Reddy CK, Wright JJ. Cusum as an aid to early assessment of the surgical
trainee. Br J Surg
1995;82(11):1500-1503. [CrossRef]
19 Chylack LT Jr, Wolfe JK, Singer DM, Leske MC,
Bullimore MA, Bailey IL, Friend J, McCarthy D, Wu SY. The Lens Opacities
Classification System III. The Longitudinal Study of Cataract Study Group. Arch Ophthalmol 1993;111(6):831-836. [CrossRef] [PubMed]
20 Wani S, Hall M, Keswani RN, Aslanian HR, Casey B,
Burbridge R, Chak A, Chen AM, Cote G, Edmundowicz SA, Faulx AL, Hollander TG,
Lee LS, Mullady D, Murad F, Muthusamy VR, Pfau PR, Scheiman JM, Tokar J, Wagh
MS, Watson R, Early D. Variation in aptitude of trainees in endoscopic
ultrasonography, based on cumulative sum analysis. Clin Gastroenterol Hepatol 2015;13(7):1318-1325.e2. [CrossRef] [PMC free article] [PubMed]
21 Kim HJ, Lee SH, Chang BS, Lee CK, Lim TO, Hoo LP,
Yi JM, Yeom JS. Monitoring the quality of robot-assisted pedicle screw fixation
in the lumbar spine by using a cumulative summation test. Spine 2015;40(2): 87-94. [CrossRef] [PubMed]
22 Bolsin S, Colson M. The use of the Cusum technique
in the assessment of trainee competence in new procedures. Int J Qual Health Care 2000; 12(5):433-438. [CrossRef] [PubMed]
23 Calsina L, Clará A, Vidal-Barraquer F. The use of
the CUSUM chart method for surveillance of learning effects and quality of care
in endovascular procedures. Eur J Vasc
Endovasc Surg 2011;41(5):679-684. [CrossRef] [PubMed]
24 Blomquist PH, Morales ME, Tong L, Ahn C. Risk
factors for vitreous complications in resident-performed phacoemulsification
surgery. J Cataract Refract Surg
2012;38(2):208-214. [CrossRef] [PMC free article] [PubMed]
25 Blomquist PH, Sargent JW, Winslow HH. Validation of
Najjar-Awwad cataract surgery risk score for resident phacoemulsification
surgery. J Cataract Refract Surg
2010;36(10):1753-1757. [CrossRef] [PubMed]