Do relationships exist between the scope and intensity of quality improvement activities and hospital operation performance? A 10-year observation in Taiwan
© Chung and Yu. 2015
Received: 26 May 2014
Accepted: 14 July 2015
Published: 14 August 2015
The relationship between the scope and intensity of quality improvement (QI) activities and hospital performance remains unclear. This study investigated the relationship between performance, external environment, and the scope and intensity of QI activities in hospitals.
The study used a longitudinal observation. Data regarding the scope and intensity of QI activities were collected using a questionnaire survey among the administrative deputy superintendents / directors of quality management center in 139 hospitals. Hospital performance indicators were abstracted from the 2000–2009 national hospitals profiles. We adopted year 2000 as the baseline, and divided the study period into three 3-year periods. The Generalized Estimating Equations (GEE) model was used for the statistical analysis.
Seventy-two hospitals responded to the survey, giving a response rate of 52 %. The results showed a significant increase in the scope and intensity of QI activities between 2000 and 2009. The results also showed that the scope and intensity of a hospital’s QI activities were associated with the scope and intensity of its competitors’ QI activities in the previous period and its own prior performance. The scope of QI activities in the previous period was not significantly related to the selected hospital performance measures. However, the intensity of QI activities in the previous period showed a significant and positive relationship with the number of inpatients and the turnover of beds.
The study demonstrates that the intensity of QI activities is associated with the external environment and the hospital’s own performance in the previous period. Furthermore, some performance measures are associated with the intensity of the QI activities in the previous period.
KeywordsHospital performance Quality improvement activities Longitudinal observation
Researchers have pointed out that following the era of expansion and cost containment, came the era of accountability . In this era, improving the quality of care became popular and served as the main characteristic of the healthcare delivery system. It has ceased to belong only to the enthusiastic hospitals; instead, it has become an important component of hospitals’ day-to-day operations .
Quality improvement (QI) activities (e.g. QCC, quality indicator, satisfaction survey) have become increasingly common in hospitals over the last several decades. Now, QI activities are a fashion in hospitals. This is true not only in Taiwan but in many developed countries such as the United States and the United Kingdom as well. A recent study revealed that QI activities in hospitals in Taiwan have rapidly increased since 2000. On average, each hospital reported 12 kinds of QI activities, eight of which required intensive implementations .
There are many studies on the motivations for hospitals to implement QI activities. These motivations include such external factors as demand (e.g. the affluence [4, 5] and medical needs of the population  and market size ), competition [7, 8], regulation [9, 10], the pressures exerted by public payers and agencies [9, 10], geography and urbanization , and such internal factors as organizational structure (e.g. size  and type [7, 8],) strategic positioning , leaders’ values and attitudes [13, 14], executives’ educational background [13, 15], resource availability [8, 14, 16], and organizational learning, climate and attitudes [7, 14]. The adoption of similar actions within a given institutional environment is called organizational isomorphism , and DiMaggio and Powell proposed the institutional theory to explain it. They observed that organizations experienced pressure to conform to their institutional environment because of the operation of coercive pressures from political institutions, normative pressures from occupational and professional constituencies, and mimetic pressures from other organizations with which they compare themselves .
Nevertheless, most previous studies have focused on the factors that led to success in specific QI activities [19–21] and the effect of specific QI activities on clinical practices [22–25]. Only a few previous studies have discussed the overall effect of QI activities, especially on hospital performance, and they have produced inconsistent conclusions [22, 26–28]. Furthermore, most previous studies of QI activities and hospital performance adopted a cross-sectional design , which overlooked the time-lag effect . It takes time for a QI activity to become stable and to produce the anticipated effects. In addition, experience has shown that the intensity of a quality improvement activity affects clinical outcomes [27, 30], and this is another factor that merits consideration. Further studies are needed to determine whether QI activities influence hospital performance.
Were performance and external environment associated with the scope and intensity of quality improvement activities among hospitals or not?
Were the scope and intensity of quality improvement activities really associated with hospital performance or not?
Two datasets were used in this study. The first one contained results of a hospital quality improvement activities survey. The research team developed the quality improvement activities questionnaire to investigate the administration, status, and implementing duration of 18 QI activities (Appendix).
According to experiences, 18 QI activities have been adopted among Taiwan’s hospitals, including QCC (the abbreviation of Quality Control Circle, in which a group of employees do the same or similar work and meet regularly to identify, analyze and solve work-related problems. This activity was initiated in Japan by Professor Kaoru Ishikawa in 1960s. The QCC group is made up of volunteers, who meet at least once a week and follow the P-D-C-A principle involving 10 steps for problem solving and/or process improvement), ISO certification (the abbreviation of International Organization for Standardization. It was founded in 1940s in Europe, devoted to develop international standards covering almost all aspects of technology and business. Hospitals invite an outside expert or a consulting company to provide ISO 9000 or other types of ISO training. Its purpose is to obtain external certificates of both the internal audit and external audit process), etc. We also invited seven experts (three university professors and four hospital managers) to evaluate the content validity. After modification, quality improvement activities questionnaires were mailed to all of the medical centers, regional hospitals, and community teaching hospitals in Taiwan in July 2009. Hospitals in Taiwan are accredited and classified as medical centers, regional hospitals, district teaching hospitals, and district hospitals. The first three are more capable of implementing QI methods given their sufficiency of resources and bed size. Therefore, this study considered 139 district teaching hospitals, regional hospitals, and medical centers as its study population.
Generally, the administrative deputy superintendents and directors of quality management center of hospitals are in charge of QI activities implementation in hospitals in Taiwan. This study collected their contact information first for distributing the questionnaire. Telephone and email were used for following up with questionnaire collection. Hospitals were asked to respond if they had adopted any QI activity and continued the activity until June 2009. Hospitals were asked about the details of activities such as year of initiation, number of teams/projects, and cycles of improvement across years.
The second dataset was the national hospitals profiles, which is collected by the Taiwan Ministry of Health and Welfare annually. The profiles included essential medical service information such as hospital size, the number of medical staff by specialty, the number of inpatients and outpatients, and patients’ length of stay, etc. These data were used to calculate hospitals’ operational performance indices that included six operation performance indicators: number of discharges, length of stay, bed occupation rate, turnover rate, number of inpatients, and number of outpatients.
Definitions of the scope and intensity of quality improvement activities
The scope of QI method implementation was measured by the number of QI methods in place based on the respondents’ self-reports, whereas the intensity was measured by the number of activities that had been intensively implemented. Intensive implementation was assessed by whether the hospital reported continuous implementation of a QI method during the study period and was also able to provide detailed information (e.g. duration of implementation) on a specific activity for at least one cycle (such as obtaining ISO 9000:2000 certification or completing a QCC in an internal contest) or project. The definitions of QI methods and the criteria for intensive implementation are provided in Appendix.
After data collection, we used this information to count the number of activities which were implemented in this hospital (also called scope), and also used our criterion to count how many activities were implemented intensively (also called intensity). We used this information to conduct further analysis for each hospital. For example, hospital A reported that they adopted 3 QI activities (quality control circle, ISO certification, and benchmarking), but they did not report any detailed information. In this case, the scope of QI activities of Hospital A is 3, the intensity is 0 (because it did not meet our criterion of intensity). In hospital B, they reported that they adopted 4 QI activities (quality control circle, ISO certification, quality indicator project, and process reengineering) and these activities were still implemented. They also provided detailed information to describe how they implemented these QI activities. In this case, both the scope and intensity of hospital B is 4.
Dependent and independent variables
According to previous studies’ suggestions, the time-lag effect should be taken into account when examining the relationship between QI activities and hospital performance . However, this issue is highly localized with considerable variation across countries. The research team has rich experiences in the promotion of and education for QI activities in Taiwan. The research team discovered that QI activities emerged in hospitals in Taiwan during 1995–2000 , and therefore year 2000 was selected as the baseline year, and each term was set to be 3 years to avoid interferences caused by short-lived activities. The mean scores of the scope and intensity of quality improvement activities and six performance indices for each period were calculated for each hospital.
Additional information such as hospital ownership (public, not-for-profit, or private), accreditation level and hospital size were obtained from the national hospitals profiles and used as control variables.
Descriptive analysis was used to describe the sample, where the mean and standard deviation were calculated for each variable, and ANOVA was performed to compare the means of the variable in different periods. The Generalized Estimating Equations (GEE) model was used to handle the problem of repeated measurements. In addition, due to the small sample size of 72 hospitals, to avoid imprecise parameter estimates caused by excessive covariates, a stepwise selection was performed to ensure that only highly influential variables were considered. All of the statistical analyses were performed using SAS 9.2.
The study protocol was approved by the IRB committee of College of Public Health, National Taiwan University (# 990104).
Questionnaire response rates by ownership type and accreditation status of hospitals
64 (46 %)
31 (43 %)
49 (35 %)
25 (35 %)
26 (19 %)
16 (22 %)
19 (14 %)
13 (18 %)
76 (55 %)
43 (60 %)
Community Teaching Hospital
44 (31 %)
16 (22 %)
Characteristics of respondents
Years of serviceb
Years in quality managementb
Description of sample hospitals’ quality improvement activities and performance status (n = 72)
Period 1 (2001–2003)
Period 2 (2004–2006)
Period 3 (2007–2009)
Scope of QIA
Intensity of QIA
Hospital size (Number of beds)
Number of discharges
Length of stay, days
Occupation of beds, %
Turnover of beds, %
Number of inpatients
Number of outpatients
What factors were associated with QI activities?
Factors affecting the scope of QI activities: results of stepwise selection
Scope of QI activities of competitors in the previous period
Turnover rate of beds in the previous period
Factors affecting the intensity of QI activities: results of stepwise selection
Intensity of QI activities of competitors in the previous period
Length of stay in the previous period
Number of outpatients in the previous period
Whether the scope and intensity of QI activities were associated with hospital performance or not.
Examination of the influence of the number of QI activities in the previous period on performance
Number of discharges
Length of stay, days
Occupation of beds, %
Turnover of beds, %
Number of inpatients
Number of outpatients
Scope of QIA in previous period
Intensity of QIA in previous period
This study collected long-term retrospective data and considered a time lag in exploring whether Taiwanese hospitals’ external environment and characteristics were associated with the scope and intensity of their implementation of QI activities, and whether those QI activities could improve hospitals’ performance. In this study, we found the scope and intensity of QI activities adopted in a hospital were associated with the external environment and the hospital’s performance in the previous period. We also found that the intensity of QI activities in the previous period was associated with hospital operation performance, but the scope of QI activities was not. Two of our findings merit further discussions.
Firstly, why did hospital adopt QI activities? The medical environment had changed dramatically since the late 1990s in Taiwan. The findings of a previous study  conducted in Taiwan indicated that this increasing trend of QI activities adoption was associated with several major events: the establishment of the National Health Insurance (NHI), a nationwide outbreak of enterovirus, the foundation of the Taiwanese Joint Commission on Hospital Accreditation (TJCHA), and the establishment of the Quality Reserve Fund (QRF) under the auspices of NHI. Taiwan’s NHI program was launched in 1995, and after that, competition among hospitals grew increasingly intense. Hospitals were looking for any means to obtain competitive advantage, such as investing in expensive, high-tech facilities/equipment and implementing new QI methods. In the late 1990s, Taiwan experienced nationwide outbreaks of enterovirus in children. The Ministry of Health and Welfare (the former Department of Health) set up a special committee for providing advises for quality improvement. Later, the TJCHA was founded in 1999. Its mission was not only to oversee hospital accreditation but to encourage quality improvements through the establishment of a platform for the sharing of QI methods among hospitals as well. Finally, the QRF proposed by the NHI Bureau was implemented in 2002. The aim of the QRF was to encourage the implementation of QI activities in hospitals. As the results showed, with regard to the breadth of those QI methods, compared to the other study periods, period 2 showed the largest β coefficient. It meant that hospitals implemented more QI activities during period 2, and this could be attributed to the initiation of the QRF project in 2002. Furthermore, most hospitals in Taiwan are located in the country’s western coastal plain, and many of their managers graduated from the same university. Therefore, the relationships among Taiwanese hospitals tend to be close, and their information exchange is fairly rapid. An increasing trend of adopting QI activities in hospitals in Taiwan may be caused by the effect of coercive pressure, normative pressure, and mimetic pressure. As a result, such behaviour should be able to be explained by the Institutional Theory.
Secondly, do the scope and intensity of quality improvement activities associate with hospital performance? Our findings suggested that hospital performance might be associated with the intensity but not the scope of QI activities. Our long-term observation allowed us to consider the time-lag effect when examining the relationship between QI activities and hospital performance. This design provides a better method for evaluating the influence of QI activities on hospital performance. The results showed that after adjusting for ownership type, accreditation level, and hospital size, the scope of QI activities was not related to any of the operation performance indicators, whereas the intensity of QI activities was associated with the turnover of beds and the number of inpatients. These results implied that the intensity of QI activities might be a better way to stimulate hospital performance.
All QI activities need time and investment of sufficient resources to implement. Furthermore, QI activity implementation can also bring the learning effects from Quality Control Circles to Quality Improvement Teams to a multi-department project team, and penetrate through the entire hospital, which might lead to performance improvement. From our findings, hospitals need to find out their strengths or advantages, and implement the QI activities persistently. Performance might be improved when the sustained efforts last long enough. The findings were also consistent with our long-term observations.
To the best of our knowledge, only a few studies in the literature are similar to our study; however, the findings are not exactly consistent. Naveh et al. compared hospital performance before and after the implementation of a QI program in 16 country hospitals in Israel; the data showed the intensity of QI activities did not lead to more performance improvements . Weiner et al. examined the association between several dimensions of QI implementation in hospitals and hospital clinical quality indicators, and the results supported the proposition that the scope of QI implementation in hospitals is significantly associated with clinical quality indicators. However, the direction of the association varied across different measures of the scope of QI implementation . There are some differences between our study and these two studies. First, the measures of performance are different. Naveh et al. and Weiner et al. used specific indicators such as mortality of specific disease/ surgery, cost savings, and waiting time as outcome variables, whereas our concerns are with operational performance. Second, the time-lag issue was not accounted for in the previous studies, where the authors adopted concurrent indicators. Finally, in Naveh and colleague’s work, they distributed questionnaires to the directors of hospitals to understand both the implementation of QI activities and hospital performance. This approach could lead to incorrect effect estimation due to possible common method variance/ bias [33–35]. In our study, we collected the dependent and independent variables from different sources, and therefore the common method variance/ bias issue did not exist in this study.
This study adopted long-term observation to explore the association between the scope and intensity of QI activities and hospital performance, and also took the time-lag and neighborhood effect of QI activities into account when evaluating hospital performance and QI activities adoption. These efforts will help researchers understand the association between quality activities and hospital performance. However, there are four important limitations to be noted. Firstly, the current study only considers community teaching hospitals, regional hospitals, and medical centers, which make up only 25 % of the hospitals in Taiwan. The other 75 % of hospitals have less than 99 beds, and most of them were unable to implement quality improvement activities. Secondly, the potential of recall bias in the survey results may be unavoidable. Third, data limitations restrict the sensitivity of the performance indicators. Performance can be measured in multidimensional ways. However, due to the availability of data, only six operation performance indicators could be used in this study. Other indicators such as financial performance or quality measurements were not available. Finally, the definition of the scope and intensity of QI activities implementation was subjective. As we mentioned above, there is no consistent definition in the existing literature, and the implementation of these activities is highly localized. Therefore we referred to the definitions from the previous studies, and modified these according to our rich experiences in implementation of quality improvement activities in Taiwan; we believe this method should mitigate bias.
The study demonstrates that the scope and intensity of QI activities adopted in a hospital are associated with the external environment and its own performance in the previous period. Furthermore, some performance measures are associated with the intensity of the QI activities in the previous period.
The authors would like to thank the National Science Council (NSC97 - 2410- H-002-030) of Taiwan for financially supporting this project. We would also like to thank Dr. Gareth Parry and Dr. Joseph Restuccia for their valuable comments and suggestions to improve the quality of the paper.
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- Relman AS. Assessment and accountability: the third revolution in medical care. N Engl J Med. 1988;319(18):1220–2.PubMedView ArticleGoogle Scholar
- Campbell SM, Braspenning J, Hutchinson A, Marshall M. Research methods used in developing and applying quality indicators in primary care. Qual Saf Health Care. 2002;11(4):358–64.PubMedPubMed CentralView ArticleGoogle Scholar
- Chung KP, Yu TH. Are quality improvement methods a fashion for hospitals in Taiwan? Int J Qual Health Care. 2012;24(4):371–9.PubMedView ArticleGoogle Scholar
- Baker LC. Managed care and technology adoption in health care: evidence from magnetic resonance imaging. J Health Econ. 2001;20(3):395–421.PubMedView ArticleGoogle Scholar
- Baker LC, Phibbs CS. Managed care, technology adoption, and health care: the adoption of neonatal intensive care. Rand J Econ. 2002;33(3):524–48.PubMedView ArticleGoogle Scholar
- Sloan FA, Valvona J, Perrin JM, Adamache KW. Diffusion of surgical technology. An exploratory study. J Health Econ. 1986;5(1):31–61.PubMedView ArticleGoogle Scholar
- Wang BB, Wan TT, Burke DE, Bazzoli GJ, Lin BY. Factors influencing health information system adoption in American hospitals. Health Care Manage Rev. 2005;30(1):44–51.PubMedView ArticleGoogle Scholar
- Walston SL, Kimberly JR, Burns LR. Institutional and economic influences on the adoption and extensiveness of managerial innovation in hospitals: The case of reengineering. Med Care Res Rev. 2001;58(2):194–228. discussion 229–133.PubMedView ArticleGoogle Scholar
- Banaszak-Holl J, Zinn JS, Mor V. The impact of market and organizational characteristics on nursing care facility service innovation: a resource dependency perspective. Health Serv Res. 1996;31(1):97–117.PubMedPubMed CentralGoogle Scholar
- Castle NG. Innovation in nursing homes: which facilities are the early adopters? Gerontologist. 2001;41(2):161–72.PubMedView ArticleGoogle Scholar
- Poulsen PB, Vondeling H, Dirksen CD, Adamsen S, Go PM, Ament AJ. Timing of adoption of laparoscopic cholecystectomy in Denmark and in The Netherlands: a comparative study. Health Policy. 2001;55(2):85–95.PubMedView ArticleGoogle Scholar
- Teplensky JD, Pauly MV, Kimberly JR, Hillman AL, Schwartz JS. Hospital adoption of medical technology: an empirical test of alternative models. Health Serv Res. 1995;30(3):437–65.PubMedPubMed CentralGoogle Scholar
- Young GJ, Charns MP, Shortell SM. Top manager and network effects on the adoption of innovative management practices: A study of TQM in a public hospital system. Strategic Manage J. 2001;22(10):935–51.View ArticleGoogle Scholar
- Nystrom PC, Ramamurthy K, Wilson AL. Organizational context, climate and innovativeness: adoption of imaging technology. J Eng Technol Manage. 2002;19(3–4):221–47.View ArticleGoogle Scholar
- Roman PM, Johnson JA. Adoption and implementation of new technologies in substance abuse treatment. J Subst Abuse Treat. 2002;22(4):211–8.PubMedView ArticleGoogle Scholar
- Randeree E, Judd SP, Kishore R, Rao HR. Antecedents to the adoption of ASPS in healthcare. J Healthc Inf Manag. 2003;17(4):67–71.PubMedGoogle Scholar
- Powell WW, DiMaggio P. The New institutionalism in organizational analysis. Chicago: University of Chicago Press; 1991.Google Scholar
- Yang CW, Fang SC, Huang WM. Isomorphic pressures, institutional strategies, and knowledge creation in the health care sector. Health Care Manage Rev. 2007;32(3):263–70.PubMedView ArticleGoogle Scholar
- Lindberg E, Rosenqvist U. Implementing TQM in the health care service. Int J Health Care Qual Assur Inc Leadersh Health Serv. 2005;18(4–5):370–84.PubMedView ArticleGoogle Scholar
- Kerridge I. Ethics and EBM: acknowledging bias, accepting difference and embracing politics. J Eval Clin Pract. 2010;16(2):365–73.PubMedView ArticleGoogle Scholar
- Gupta M. From evidence-based care to the standard of care. Commentary on Kerridge (2009) Ethics and EBM: acknowledging difference, accepting difference, and embracing politics. J Eval Clin Pract. 2010;16(2):374–5.PubMedView ArticleGoogle Scholar
- Weech-Maldonado R, Zinn JE, Hamilton 3rd RD. The performance impact of context in TQM implementation: the nursing facility industry. Health Serv Manage Res. 2001;14(3):147–58.PubMedView ArticleGoogle Scholar
- Tung YC, Chang GM. Patient satisfaction with and recommendation of a primary care provider: associations of perceived quality and patient education. Int J Qual Health Care. 2009;21(3):206–13.PubMedView ArticleGoogle Scholar
- Tung YC, Chung KP, Chang RE. The Relationship between Implementation of Quality Management and operating Performance of General Teaching Hospitals (In Chinese). Chin J Public Health. 2000;19(3):221–30.Google Scholar
- Tung YC, Yang MC. How to effectively implement an indicator system to improve performance from a management perspective: the case of Taiwan Healthcare Indicator Series (THIS) system. J Med Syst. 2009;33(3):215–21.PubMedView ArticleGoogle Scholar
- Macinati MS. The relationship between quality management systems and organizational performance in the Italian National Health Service. Health Policy. 2008;85(2):228–41.PubMedView ArticleGoogle Scholar
- Bradley EH, Herrin J, Mattera JA, Holmboe ES, Wang YF, Frederick P, et al. Quality improvement efforts and hospital performance - Rates of beta-blocker prescription after acute myocardial infarction. Med Care. 2005;43(3):282–92.PubMedView ArticleGoogle Scholar
- Naveh E, Stern Z. How quality improvement programs can affect general hospital performance. Int JHealth Care Qual Assur Inc Leadersh Health Serv. 2005;18(4-5): 249–270.Google Scholar
- Alexander JA, Weiner BJ, Shortell SM, Baker LC. Does quality improvement implementation affect hospital quality of care? Hosp Top. 2007;85(2):3–12.PubMedView ArticleGoogle Scholar
- Goldstein SM, Iossifova AR. Ten years after: Interference of hospital slack in process performance benefits of quality practices. J Oper Manag. 2012;30(1–2):44–54.View ArticleGoogle Scholar
- Weiner BJ, Alexander JA, Baker LC, Shortell SM, Becker M. Quality improvement implementation and hospital performance on patient safety indicators. Med Care Res Rev. 2006;63(1):29–57.PubMedView ArticleGoogle Scholar
- Weiner BJ, Alexander JA, Shortell SM, Baker LC, Becker M, Geppert JJ. Quality improvement implementation and hospital performance on quality indicators. Health Serv Res. 2006;41(2):307–34.PubMedPubMed CentralView ArticleGoogle Scholar
- Johnson RE, Rosen CC, Djurdjevic E. Assessing the impact of common method variance on higher order multidimensional constructs. J Appl Psychol. 2011;96(4):744–61.PubMedView ArticleGoogle Scholar
- Kline TJB, Sulsky LM, Rever-Moriyama SD. Common method variance and specification errors: a practical approach to detection. J Psychol. 2000;134(4):401–21.PubMedView ArticleGoogle Scholar
- Lindell MK, Whitney DJ. Accounting for common method variance in cross-sectional research designs. J Appl Psychol. 2001;86(1):114–21.PubMedView ArticleGoogle Scholar
- Gaucher EJ, RJ. C. Total quality in health care: from theory to practice. San Francisco: Jossey-Bass Publishers; 1993.Google Scholar
- Murphy R. Work reengineering: the benefits and the barriers, an analytical review. J Soc Health Syst. 1995;5(1):73–84.PubMedGoogle Scholar
- Gapp R, Fisher R, Kobayashi K. Implementing 5S within a Japanese context: an integrated management system. Manag Decis. 2008;46(3–4):565–79.View ArticleGoogle Scholar
- Senge PM. The fifth discipline: the art & practice of the learning organization: Crown Publishing Group. 2010.Google Scholar
- Evans JR, Lindsay WM. The management and control of quality: South-Western Cengage learning. 2011.Google Scholar
- Team MHP. Hoshin planning: a planning system for implementing Total Quality Management (TQM): GOAL/QPC. 1989.Google Scholar
- Bounds GM. Beyond total quality management: toward the emerging paradigm: McGraw-Hill. 1994.Google Scholar
- Kazandjian VA. Accountability through measurement: a global healthcare imperative: ASQ Quality Press. 2003.Google Scholar
- Sackett DL. Evidence-based medicine: how to practice and teach EBM: Churchill Livingstone. 2000.Google Scholar
- Kazandjian VA, Wicker KG, Matthes N, Ogunbo S. Safety is part of quality: a proposal for a continuum in performance measurement. J Eval Clin Pract. 2008;14(2):354–9.PubMedView ArticleGoogle Scholar
- Chiu WT, Yang CM, Lin HW, Chu TB. Development and implementation of a nationwide health care quality indicator system in Taiwan. Int J Qual Health Care. 2007;19(1):21–8.PubMedView ArticleGoogle Scholar
- ØVretveit J, Bate P, Cleary P, Cretin S, Gustafson D, McInnes K, et al. Quality collaboratives: lessons from research. Qual Saf Health Care. 2002;11(4):345–51.PubMedView ArticleGoogle Scholar