| Japanese Journal of Clinical Oncology | Pages |
National Average for the Process of Radiation Therapy in Japan by Patterns of Care Study
Introduction
Methods and Materials
Calculation of National Averages Using Sedransk's Equation (3)
Simulation of National Average Using Structure Survey by Tsunemoto (6)
Results
Discussion
Acknowledgments
References
National Average for the Process of Radiation Therapy in Japan by Patterns of Care Study
Methods: The calculation program for national averages, which were revised on the basis of differences between individual facilities and institutional strata, was developed in accordance with Sedransk's equation for the original PCS in the USA. National averages for several aspects concerning the sampled patients who had esophageal cancer between 1992 and 1994 were calculated with these procedures. Data for facilities and stratification of institution were simulated from a national structure survey of radiation oncology in 1990.
Results: Values of the national average by Sedransk's equation were different from those of the simple sample average. There were significant differences in radiotherapeutic processes among stratification of institutions. For esophageal cancer, national averages were 0.129 for applications of endoscopic ultrasound, 0.599 for `all fields treated each day' and 0.088 for application of brachytherapy.
Conclusion: National averages for radiotherapy could be calculated. The values obtained in this PCS will be a useful measure for future QA in radiation oncology and in other specialties in Japan.
INTRODUCTION
The Patterns of Care Study (PCS) for radiation therapy is a nationwide study by radiation oncologists to improve the quality and accessibility of radiation therapy in the USA (1). Because there has been no precedent of presenting the actual state of radiotherapeutic processes used in radiation oncology in Japan and of carrying out a nationwide clinical quality assurance (QA) study, the PCS was imported from the USA. The data collection method of PCS consists of two steps of random sampling (2). The first step is the classification of entire institutions into certain nationwide strata and the random selection of institutions from each stratum. The second step is the random selection of eligible patients from each sampled institution.
In this study, the ratio estimator, {roman theta} hat, as the national average was calculated using the equation devised by Sedransk and Sedransk (3). In this equation, the national averages were calculated by making statistical adjustments of differences among institutions and among institutional strata. By using national averages, the actual state of radiotherapy can be assessed quantitatively and these data can be used as a standard for QA in radiotherapy.
The PCS for esophageal cancer and uterine cervical cancer between 1992 and 1994 in Japan has been carried out by our group since July 1996, with the support of the Ministry of Health and Welfare (8-27 and 8-29). Differences among patients' backgrounds, work-up studies and treatment methods were examined through analysis in terms of institutional stratification (4,5). However, this study produced only simple ratios for radiotherapeutic processes, without making adjustments for differences among institutions.
Based on these data, a calculation program for national averages was prepared. The calculation of national averages for several processes was piloted in preparation for QA of radiotherapy in Japan, which was started as a new study with a grant (10-15) from the Ministry of Health and Welfare (principal investigator: T.I.).
METHODS AND MATERIALS
Calculation of National Averages Using Sedransk's Equation (3)
It was assumed that the entire radiotherapy facilities are divided into L strata and that there are Nh facilities in stratum h (Fig. 1). The ith facility (h, i) belonging to stratum h has Mhi patients and patient (h, i, k) is the kth patient in facility (h, i). Yhik is the value for patient (h, i, k). If Yhik is 1, this corresponds to `Yes' and if Yhik is 0, this corresponds to `No'. If calculation of the national average, italic theta, uses data for all patients, the calculation is represented by equation (1).
![]() |
(1) |
Figure 1. Concept scheme of double random sampling in the Patterns of Care Study. L is number of strata in the whole nation; h is the stratum of institution; there are Nh radiotherapy institutions in stratum h; nh is the number of radiotherapy institutions sampled in stratum h, indicated by the number of solid arrows; (h, i) is the ith radiotherapy institution sampled in stratum h; there are Mhi patients treated in radiation institution (h, i); mhi is the number of sampled patients treated in institution (h, i), indicated by the number of dotted arrows; yhik is data for the kth sampled patient treated in facility (h, i). If patient (h, i, k) is included in the calculation, Xhik is 1; otherwise Xhik is 0, and if Xhik is equal to 0, Yhik is 0. This equation is similar to the simple method for calculating an arithmetic mean. If calculation of the national average uses randomly sampled data with adjustments of differences among institutional strata and individual facilities, the ratio estimator of [theta] is

(2)
where nh is the number of sampled institutions in stratum h, mhi is the number of sampled patient records in institution (h, i), y bar sub {h i} and x bar sub {h i}the means of yhik and xhik at all institutions and yhik and xhik represent the Yhik and Xhik of all sampled patients.
The variance estimator is
![]() |
(3) |
where
![]() |
Simulation of National Average Using Structure Survey by Tsunemoto (6)
A calculation program was written by means of SAS 6.12 (7,8) according to the methodology mentioned above. National averages for the radiotherapeutic processes used for esophageal cancer patients who received radiotherapy in Japan between 1992 and 1994 were calculated. The items calculated were whether patients had undergone endoscopic ultrasound examination, whether all fields were irradiated each day and whether patients were being treated with brachytherapy. These were typical items that had apparent differences by the stratification of institution and were important for radiotherapeutic processes represented by binary data.
Patient data, yhik, were obtained from the PCS for esophageal cancer patients in Japan carried out by our group from July 1996 to February 1997. External audits were performed by the principal investigators (M.A. and H.I.) of the cancer research groups on the member institutions who agreed to official requests for this survey by the Ministry of Health and Welfare in Japan (8-27 and 8-29) and their affiliated hospitals, as shown in Table 1. The number of institutions audited was 29 and the fifth PCS data format produced in the USA was used. The total number of esophageal cancer patients surveyed was 455. These included patients who received definitive, palliative, preoperative or postoperative radiotherapy. Patients who had distant metastasis or were diagnosed with any other cancer within 5 years before the start of treatment were excluded.
Japanese institutions of radiation oncology were stratified into four categories according to the facility master survey by Tsunemoto (6). On the basis of this stratification, 39 institutions were classified as A1 (university hospital/cancer center treating [ge]300 patients/year), 51 institutions as A2 (university hospital/cancer center treating <300 patients/year), 87 institutions as B1 (other institutions treating [ge]120 patients/year) and 197 institutions as B2 (other institutions treating <120 patients/year) in the current series. This stratification of institutions was closely related to the number of full-time equivalent radiation oncologist (4,9). The actual number of sampled institutions, nh, was 13 for A1, 0 for A2, 10 for B1 and six for B2 (Table 2).
Table 1.
| Institution | Location | Responsible person and staff |
| Sakai Municipal Hospital | Sakai | Hiroyasu Yoshioka |
| Suita Municipal Hospital | Suita | Masayuki Sato |
| Sumitomo Hospital | Osaka | Jun Ueda |
| National Sapporo Hospital | Sapporo | Masamichi Nishio |
| Aomori Prefectural Central Hospital | Aomori | Sadao Watanabe Yoshinao Abe |
| Tohoku University Hospital | Sendai | Shogo Yamada Yoshihiro Takai |
| Niigata University Hospital | Niigata | Kunio Sakai Tadashi Sugita |
| National Kyoto Hospital | Kyoto | Mitsuyuki Abe Toru Shibata |
| Kyoto University Hospital | Kyoto | Masahiro Hiraoka Yasumasa Nishimura Yasushi Nagata |
| Kyushu University Hospital | Fukuoka | Kouji Masuda Satoru Uehara Junichi Omagari |
| Hiroshima University Hospital | Hiroshima | Yutaka Hirokawa Yukio Akagi |
| Hamamatsu University Hospital | Hamamatsu | Masao Kaneko Tetsuo Nishimura |
| Shinshu University Hospital | Matsumoto | Shusuke Sone Masahiko Oguchi |
| Gunma University Hospital | Maebashi | Hideo Niibe Norio Mitsuhashi Michitaka Yamakawa |
| National Cancer Center Hospital | Tokyo | Hiroshi Ikeda Yoshikazu Kagami Minako Sumi |
| Tokai University Hospital | Isehara | Tomoyuki Mori Yukio Oizumi |
| Osaka University Hospital | Suita | Toshihiko Inoue Takehiro Inoue |
| Cancer Institute Hospital | Tokyo | Takashi Yamashita Masahiko Furukawa Masao Kobayashi Hiroshi Igaki |
| National Osaka Hospital | Osaka | Masanori Mitomo Masatoshi Ohtani |
| Osaka Rosai Hospital | Sakai | Isao Tsukaguchi |
| Osaka Red Cross Hospital | Osaka | Giro Todo |
| Kansai Denryoku Hospital | Osaka | Daizaburou Hamanaka |
| Kyoto City Hospital | Kyoto | Katsumi Hayakawa Mototsugu Koishi |
| Hiroshima Red Cross and Atomic Bomb Survivors Hospital | Hiroshima | Masaki Mori Kazuki Kashimoto |
| Chuden Hospital | Hiroshima | Akira Naito |
| Onomichi General Hospital | Onomichi | Tetsuji Kiso |
| Chugoku Rosai Hospital | Kure | Katsuro Hanaguri |
| Nagano Red Cross Hospital | Nagano | Youichi Okazaki |
| Hokushin General Hospital | Nakano | Kiyonobu Ito |
Table 2.
| Stratum | Total No. of patients per year | Nh | Mhi | nh |
| A1 | Univ/CC >=300 patients | 39 | 30 | 13 |
| A2 | Univ/CC <300 patients | 51 | 13 | 0 |
| B1 | Others >=120 patients | 87 | 7 | 10 |
| B2 | Others <120 patients | 197 | 4 | 6 |
Table 3.
| Stratum | Total No. of patients per year | Average | Variance |
| A1 | Univ/CC >=300 patients | 0.280 | 0.0033 |
| B1 | Others >=120 patients | 0.027 | 0.0004 |
| B2 | Others <120 patients | 0.030 | 0.0004 |
| All | 0.129 | 0.0004 |
Table 4.
| Stratum | Total No. of patients per year | Average | Variance |
| A1 | Univ/CC >=300 patients | 0.755 | 0.0080 |
| B1 | Others >=120 patients | 0.561 | 0.0200 |
| B2 | Others <120 patients | 0.412 | 0.0318 |
| All | 0.599 | 0.0058 |
Table 5.
| Stratum | Total No. of patients per year | Average | Variance |
| A1 | Univ/CC >=300 patients | 0.166 | 0.0008 |
| B1 | Others >=120 patients | 0.051 | 0.0004 |
| B2 | Others <120 patients | 0.019 | 0.0003 |
| All | 0.088 | 0.0002 |
Table 6.
| Simple average | Variance | |
| Endoscopic US | 0.158 | 0.1335 |
| All fields treated each day | 0.648 | 0.2286 |
| Brachytherapy | 0.117 | 0.1035 |
Table 7.
| Stratum | Total No. of patients per year | No. of institutions with capability for brachytherapy |
| A1 | Univ/CC >=300 patients | 13 (100%) |
| B1 | Others >=120 patients | 7 (70%) |
| B2 | Others <120 patients | 0 (0%) |
The total number of institutions in each stratum, Nh, and the number of patients at each institution, Mhi, could not be identified with the PCS database format we used for the patients between 1992 and 1994. Therefore, data from the structure survey by Tsunemoto in 1990 (6) were used as a makeshift solution for the calculation of national averages. For the median number of patients we used the number of patients per year at each institution, Mhi (Table 2). Because data for esophageal cancer patients treated between 1992 and 1994 were used, the median number of patients in 1990 was multiplied by three.
RESULTS
The program for calculating national averages, written by means of SAS 6.12, proved to be successful and the pilot calculation of national averages for radiotherapy in Japan was simulated by using this program.
Table 3 shows the results for esophageal cancer. The average values (variance) for whether esophageal cancer patients had undergone endoscopic ultrasound examination at A1, B1 and B2 institutions and for the nation as a whole were 0.280 (0.0033), 0.027 (0.0004), 0.030 (0.0004) and 0.129 (0.0004), respectively. This shows that endoscopic ultrasound was used for about 13% of esophageal cancer patients in Japan.
The average values (variances) for whether all fields were being irradiated on a daily basis at A1, B1 and B2 institutions and nationwide were 0.755 (0.0080), 0.561 (0.0200), 0.412 (0.0318) and 0.599 (0.0058), respectively (Table 4).
The corresponding values for whether esophageal cancer patients were treated with brachytherapy were 0.166 (0.0008), 0.051 (0.0004), 0.019 (0.0003) and 0.088 (0.0002) (Table 5).
Table 6 shows simple averages (variances) of corresponding national data for reference. These values were higher than national averages calculated with Sedransk's equation (3).
Table 7 shows number of institutions that had the capability of brachytherapy in audited institutions. In A1 institutions, all institutions had equipment for brachytherapy. However, no B2 institution could use brachytherapy. In B1 institutions, seven out of 10 (70%) had brachytherapy equipment.
DISCUSSION
PCS is a widely known QA program for radiation oncology in the USA. The usefulness of the PCS is that it could retrospectively collect detailed data and reduce costs. These are enabled by double cluster sampling and external audit. PCS has been used for clinical research, assessment of the quality of radiotherapy and clinical QA. The national average is used as control data for radiotherapy in survey years. PCS has been conducted for various disease sites for more than 20 years and its reliability has been established in the USA. In the current study, PCS was performed only for the institutions of members of the cancer research groups by the Ministry of Health and Welfare in Japan (8-27 and 8-29) and their affiliated hospitals. Its feasibility and usefulness were clarified in our previous reports (4,5).
National averages can retrospectively and with a limited number of patients represent the actual state of medical care nationwide. Averages calculated by each stratum also show regional and institutional differences in the radiotherapeutic processes used for cancer patients. Comparison of these averages and data for individual institutions makes it possible to assess the quality of medical care in a particular institution. It should be noted that by making statistical adjustments to the data randomly sampled by using Sedransk's equation (3), the actual state of radiation oncology at the national level could be assessed with data for a limited number of patients.
For this study, a program for calculating national averages was prepared and an assessment of esophageal cancer treatment from 1992 to 1994 was simulated. Differences among institutional strata could be demonstrated for three aspects of esophageal cancer. These results indicate that the quality of medical care in A1 institutions was higher than that in B1 and B2 institutions.
Simple averages were higher than national averages calculated with Sedransk's equation (3). This is due to the higher ratio of A1 institutions sampled. Using Sedransk's equation, this overestimation of national averages could be prevented and the actual state of medical care could be assessed more accurately.
However, values of national average in this paper are not completely accurate. Instead of accurate values of the total number of institutions in each stratum, Nh, and the number of patients at each institution, Mhi, data from the structure survey by Tsunemoto in 1990 were used. It is necessary that we obtain accurate Nh and Mhi. This problem could be solved in new grant study (10-15) initiated by the Ministry of Health and Welfare (principal investigator: T.I.). Furthermore, the institutions sampled were not randomly selected, but were member institutions of the principal investigators (M.A. and H.I.) of the cancer research groups by the Ministry of Health and Welfare in Japan (8-27 and 8-29) and their affiliated hospitals. Therefore, there was bias that patients were not randomly selected. Moreover, because the institutions sampled in this study did not include A2 institutions, national averages in this study were calculated without taking into account A2 institutions. To obtain more accurate national averages, pure double random sampling will be necessary. Such pure double randomized sampling of institutions and their patients is also used for the new grant study (10-15).
Differences in the process among institutional strata could also be demonstrated in this study. This difference was found to be closely related to the institutional structure, including equipment and personnel, and should therefore have an effect on patient outcomes. For example, the average of application of brachytherapy was related to the capability of brachytherapy at each institution. Since there was the background that the ratio of A1 institutions that had brachytherapy equipment was higher than that of B1 and B2, average of A1 was higher than that of B1 and B2. In our series for this study, we have already reported that the survival of esophageal cancer patients who had not received surgery was influenced by the application of brachytherapy (10). Brachytherapy is not always utilized for the treatment of esophageal cancer patient; however, each institution needs to prepare the system for brachytherapy including equipment and personnel for essential cases. Although no B2 institution had brachytherapy equipment, 1.9% of patients were treated with brachytherapy in B2. These patients received brachytherapy at affiliated institutions. In PCS, tracing the information of such patients was easy by audits.
In summary, the program for calculating national averages using the methodology of PCS proved to be successful. A simulated calculation for esophageal cancer patients treated between 1992 and 1994 was performed and differences among institutional strata could be demonstrated. To increase the quality of care in radiation oncology in Japan, an accurate assessment of current radiotherapeutic processes on a nationwide basis is essential. National averages should prove to be a useful measure of QA in radiation oncology and also in other specialties in Japan
Acknowledgments
The authors thank all radiation oncologists (Table 1) who participated in this study. Their cooperation in providing information makes these surveys possible. This study was supported by grants from the Ministry of Education, Science and Culture (Overseas Research Fellowship), the Ministry of Health and Welfare (Grants-in-Aid for Cancer Research Nos 8-27, 8-29 and 10-15), the Japanese Society of Promotion of Sciences, Pfizer Health Research Foundation in Japan (96A014) and the Japanese Foundation for Multidisciplinary Treatment of Cancer. We sincerely thank Dr Lawrence R. Coia, Chairman of the Gastrointestinal Subcommittee of Patterns of Care Study, USA, for his great support and appropriate advice on performing audits for PCS in Japan.
References
This article has been cited by other articles:
This page is run by Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, as part of the OUP Journals
Comments and feedback: jnl.info{at}oup.co.uk
Last modification: 13 Apr 1999
Copyright© 1999 Foundation for Promotion of Cancer Research.
![]()
CiteULike
Connotea
Del.icio.us What's this?
![]()
![]()

![]()
![]()
![]()
T. Teshima and Japanese PCS Working Group
Patterns of Care Study in Japan
Jpn. J. Clin. Oncol.,
September 1, 2005;
35(9):
497 - 506.
[Abstract]
[Full Text]
[PDF]
![]()
![]()
![]()

![]()
![]()
![]()
T. Inoue
Quality Assurance of Radiotherapy and its Clinical Assessment
Jpn. J. Clin. Oncol.,
December 1, 2002;
32(12):
497 - 505.
[Abstract]
[Full Text]
[PDF]
![]()
This Article ![]()
![]()
Abstract
![]()
Alert me when this article is cited
![]()
Alert me if a correction is posted
![]()
Services ![]()
![]()
Email this article to a friend
![]()
Similar articles in this journal
![]()
Similar articles in ISI Web of Science
![]()
Similar articles in PubMed
![]()
Alert me to new issues of the journal
![]()
Add to My Personal Archive
![]()
Download to citation manager
![]()
Search for citing articles in:
ISI Web of Science (9)
![]()
Request Permissions
![]()
Google Scholar ![]()
![]()
Articles by Tanisada, K
![]()
Articles by Masuda, K
![]()
Search for Related Content
![]()
PubMed ![]()
![]()
PubMed Citation
![]()
Articles by Tanisada, K
![]()
Articles by Masuda, K
![]()
Social Bookmarking ![]()
![]()
What's this?


