Open access

Redesigning the Service Process for Total Quality in Government Hospitals: Evidence from Kwara State

Written By

Johnson Olabode Adeoti

Submitted: 19 December 2011 Published: 01 August 2012

DOI: 10.5772/48729

From the Edited Volume

Total Quality Management and Six Sigma

Edited by Tauseef Aized

Chapter metrics overview

2,824 Chapter Downloads

View Full Metrics

1. Introduction

Total Quality Management (TQM) application in Public Health sector is recent and it has begun to redefine the administrative infrastructure and mindset of managers in different fronts. The old management models in public sector that hardly differentiate between management and leaderships are now beginning to change through identification and focus on meeting and exceeding the needs of customers (citizens). The application of TQM tools and techniques has begun to re-orientate managers and policy makers’ arbitrary command and control methodology with strong emphasis being placed on leadership, teamwork and continuous learning. The old culture of top-down management where the subordinates must wait endlessly for their superiors before they can perform has impinged the implementation of TQM in government hospitals.

Research has found that 4 percent of hospital patients suffer an avoidable injury, 7 percent experience medication error, and 45 percent experience some medical mismanagement (Andrew et al 1977). In a recent study conducted by Lagasse et al (1995), 8 percent anesthetics error were found to be due to human error and 92 percent due to system error.

Health care organizations therefore can use service process redesign to minimize the system error. The quality of service delivered is contingent on the service process that is put in place in organizations. Service process has been therefore identified as the core of service delivery, not only frequently visible to customers (patients), but often constituting the very service itself (Johnston and Clerk, 2000). Unfortunately, many private organizations and public outfits devote little attention to understanding and designing this very aspect of their businesses.

Once the service process is erroneously designed, it has a way of affecting the quality of service delivered to the patients of government hospitals.

Health care redesign can be broadly defined as thinking through from scratch, the best process to achieve speedy and effective care from a patient perspective, identifying where delays, unnecessary steps or potential error are built in the process and then redesign the process to remove them and dramatically improve the quality of care (Locock, 2003). Service process redesign therefore is used to tackle variation in the quality of care and improve patients’ satisfaction. Service process redesign is therefore a radical challenge to traditional assumptions and practices which involves thinking through the best process to achieve speedy and effective patients’ care.

Redesigning the service process in an organization therefore involves assessing how the current functions, structures and responsibilities are operating and identifying what would be done to improve the efficiency and effectiveness of operation within the unit.

Ching chow (2003) conducted a survey for a hospital to identify the major obstacles to TQM implementation in health care industry as;

  1. Organizational structure: Traditionally, the health care organizations use functional-hierarchical structure as the base which may cause poor communication between sections.

  2. Leadership style: Most leaders of health care organizations are specialists in their profession with authority. Hence, the unchallengeable leadership style does not allow health care professionals to accept the opinions of their subordinates.

  3. Organizational culture: The health care organizational structure and leadership style create a highly hierarchical, bureaucratic and authoritarian culture which conflict with the idea of empowerment of subordinates.

  4. Professional autonomy: The physicians, medical technicians, and clinical professionals work independently in their fields which makes the issue of teamwork (which is the basis of TQM), impossible. Different departments might have different views on TQM.

  5. Lack of Consensus: Misunderstanding might ensue between the physicians with respect to application of TQM. While TQM practices may be considered as significant for administrative efficiency and service quality, it cannot be applied for medical treatment. This explains why health care professionals do not have strong enthusiasm for its adoption.

  6. Internal requirement domination: The health care organizations tend to focus on their internal requirement for medical treatment rather than the patients’ needs. The ethics of the profession are strictly followed. The emergency situation of a patient into the hospital will not make a physician to violate the process of diagnosis.

  7. Efficiency-oriented: Efficiency is the hallmark of medical profession and not how much income they would make from surgeries and chemical treatments. The objective is qualitative performance. Hence, such bias tends to affect their understanding of patients’ conditions and improper judgment resulting in poor quality.

  8. Manpower shortfall: Insufficient manpower in hospitals means that professional specialists are overloaded in their work. Since the physicians are much more involved in their routine work, participating in TQM implementation is considered as an added responsibility that they may not have time for.

The objective of this paper therefore is to investigate how redesigning of the service process can engender total quality in Kwara state government hospitals as well as removing barriers to TQM implementation.

Advertisement

2. Problem statement

The implementation of Total Quality Management in Kwara State Hospitals is fraught with some difficulties. These difficulties have made the attainment of quality goals by the government elusive. TQM has been described as a co-operative form of doing business which relies on the talent and capabilities of both labour and management to improve quality and productivity continually using teams (Plek 1995). This definition has three ingredients necessary for TQM to flourish in any service organization. They are:

  1. Participative Management

  2. Continuous Process improvement and

  3. The use of Teams.

Redesigning the hospital process falls under the second ingredient. Hence, successful TQM implementation is dependent on employee participation, employee training, technology, employee-patients’ relationship, drug administration, employee motivation and care takers.

The findings and pricing, supervision conformity to standard and feedback from patients are other factors that infringed the hospital process. This study sees redesigning of the hospital process as a leeway to checkmate the poor quality service of the hospitals with the intent of satisfying the patients of the hospitals.

Advertisement

3. Methodology

There are sixteen government hospitals in Kwara state which constitute the population. But for the sake of the study, 4 specialist hospitals in Ifelodun, Ilorin East, Moro and Offa are the sampled hospitals for this study. This is because these four specialist hospitals constitute the referral centres for General Hospitals and Community health centres that exist in the state.

50 copies of questionnaire were served to 50 patients per sampled hospitals. A Likert scale of 5 points was used to measure the level of agreement and disagreement by the respondents. The response format is as follows:

SA – Strongly Agree

A – Agree

N – Not sure

D – Disagree

SD – Strongly Disagree

Frequency Distribution was used to analyze the data collected and to examine the pattern of response to each variable under investigation.

Advertisement

4. Data analysis

Since the study seeks to investigate how redesigning the service process can engender quality service in Government hospitals which will consequently affect the patients’ satisfaction, the frequency counts were used to capture the responses of the respondents. From the gender distribution of respondents below

Specialists HospitalsMaleFemaleTotal
Ifelodun183250
Ilorin East212950
Moro222850
Offa262450
Total87113200

Table 1.

Gender distribution of respondents

From the table above, 43.5% of the respondents were males while 56.5% were females. In other words, across the four local governments where the specialist hospitals were, there were more female patients than males. This is actually evident from the table as it was only in Offa specialist hospital that we had more male patients than females. This trend of female patients’ dominance except in Offa LGA may not be unconnected with gynecological related sicknesses. The eagerness of the patients to fill the questionnaire was a sign of service dissatisfaction which in turn suggests the need for redesign of the service process.

Age classificationFrequency (n)Percentage (%)
21-30 years4020.0
31-40 years3015.0
41-50 years9246.0
51-60 years157.5
61 and above2311.5
Total200100.0

Table 2.

Respondents’ age-range

From the respondents’ age classification above, 46.0% of the respondents were within the age of 41-50 years while 20% of the respondents fall within the age range of 21-30 years. The reason for the high rate of patients within the 41-50 years category may not be unconnected with the Menopausal issues since the respondents are female-dominated. 81% of the respondents were between the age of 21 and 50 years which is an indication of level of literacy of the respondents. In other words, they seem to understand the process of service quality and could say categorically whether they are satisfied or not.

Marital statusFrequencyPercentage (%)
Single5025.0
Married10050.0
Widowed2010.0
Divorce3015.0
Total200100.0

Table 3.

Respondents’ marital status

With reference to the above table, 25% were singles, 50% married, 15% divorcee & 10% widows and widowers.

Process infringementsFrequencyPercentage (%)
Employees participation189.0
Employees Training2010.0
Technology147.0
Employee-patients’ relationship2512.5
Drug administration168.0
Employees motivation2010.0
Care-takers2613.0
Language barriers126.0
Funding and pricing147.0
Supervision105.0
Conformity to standards157.5
Feedback from patients105.0
Total200100.0

Table 4.

Distribution of Respondents on service process infringements

Four process infringement factors featured prominently in the respondents’ responses to service process infringements. They are caretakers, employee-patients’ relationship, employees’ training and employees’ motivation. The care-takers i.e., those who stay with the patients in the hospital constitute 13% of the process infringements which in-turn, impact negatively on the quality of services in the specialist hospitals. This is followed by employee-patients’ relationship. This may be referred to as the interpersonal factors that boarder on Professional-patients’ relationships. Employee training and employee motivation can also affect the quality of service where they are not available.

Process infringement factorsPercentage (%)Ranking
Care-takers13.01
Employee-patients’ relationship12.52
Employees’ training10.03
Employees’ motivation10.03
Employees’ participation9.05
Drug administration8.06
Conformity to standards7.57
Technology7.08
Funding & pricing7.08
Language barriers6.010
Supervision5.011
Feedback from patients5.011
Total100

Table 5.

Ranking of process infringement factors

MethodsFrequencyPercentage (%)
Detection2010
Process mapping5025
Statistical process control6030
Failsafing7035
Total200100

Table 6.

Distribution of respondents on methods of overcoming the process infringement factors

From the data on table 6, 70 respondents favoured ‘failsafing’ which is a simple but effective technique to reduce the likelihood of process failure and ensure that both employees and patients do the right thing. The 70 respondents accounted for 35% solution to process infringements. 30% of the process infringements can be overcome with statistical control.

Advertisement

5. Hypothesis testing

The only hypothesis tested in this study is to find out whether redesigning the service process has a way of enhancing total quality in Kwara state specialist hospitals.

Ho: Redesigning the service process does not affect quality of services in government hospitals.

H1: Redesigning the service process significantly affect the quality of service.

OptionsSAANDSDTotal
Yes110123106141
No2015511859
Total1302782114200

Table 7.

Distribution of respondents on redesign of the service process for quality service

Table 7 is the observed value of respondents of service process redesign and quality service. To obtain the expected value, we simply use the formulae

Fe=Row total x Column total/Grand total

fofe(fo-fe)(fo-fe)2/fe
11091.65336.723.67
1219.0449.562.60
35.646.961.23
1014.821.121.42
69.8714.981.51
2013.4338.568.82
157.9649.566.22
52.366.962.95
116.1923.143.74
84.1314.973.62
Total X2 = 35.8

Table 8.

Frequency of service process redesign on quality

From the table 8 above, the X2 calculated is 35.78 while the X2-tabulated at 5% significance level and at (2-1) (5-1) = 4 degree of freedom i.e. 14.9. Since X2 calculated is greater than X2 tabulated, we reject the null hypothesis that says redesigning the service process does not affect the quality of service and accept the alternative hypothesis that says redesigning the service process significantly affect the quality of service rendered by hospitals.

From the hypothesis tested, redesigning the service process has a way of affecting the quality of service as well as patients’ satisfaction.

Advertisement

6. Recommendations

As we have rightly observed in the literature review, all stakeholders in health care have a role to play in ensuring that the process infringements are checkmated and minimized.

The following recommendations are important for the improvement of the service process:

  1. The dichotomy between doctors and nurses in terms of professionalism which make certain area of Medicare a ‘no go area’ for nurses must be checked, so that when doctors are not available, the nurses can to a certain extent come in to save the life of the patients.

  2. Employees’ training and refresher courses are very important to sensitize the workers on latest technological evolution.

  3. Employees-patients relationship must be cordial because whatever injury suffered by the patient has a way of affecting the hospitals.

  4. Care-takers that will stay with the patients must be educated such that a wrong administration of drug is not given. Alternatively, the hospital employees particularly the nurses should be charged with the responsibility of administering the drugs.

  5. Where language barrier is to infringe the service process, an interpreter may be immediately hired to serve as a stop-gap for wrong diagnosis.

  6. Government should appoint supervisors or agency who will not compromise quality for material gain. Those supervisors and agencies can interact with the patients to know what their misgivings are.

  7. The agency in (IV) above should create a way through which those whom have been discharged from the hospital will give a feedback to the hospitals.

  8. Government as a matter of policy should develop a motivational formulae that will serve as an impetus for greater and efficient service.

  9. Government should release funds for the management of hospitals

Advertisement

7. Conclusion

This paper is of the opinion that what we refer to as infringement factors to the service process in developing nations like Nigeria may not actually be the infringement factors in developed nations. Hence, this study would provoke further investigations into the service process infringements in developed world. If patients’ satisfaction is the basis for establishing specialist hospitals, anything that will make that objective unrealizable must be removed. This exactly is what service process redesign intends to achieve.

References

  1. 1. AlexanderC. 1971 Notes on the synthesis of form. Cambridge, MA: Harvard University Press.
  2. 2. AndrewsL.StockingC.KrizekT.GorHieb. L.KrizekC.VargishT.SieglerM. 1997An alternative strategy for studying adverse events in medical care”. The Lancet. 349 309313 .
  3. 3. BuurJ.BinderT.et al. 2000 “Taking Video beyond “Hard Data” in User Centred Design.” Design. Participatory Design Conference (PDC 2000).
  4. 4. BuurJ.SoendergaardA. 2000 “Video Card Game: An augmented environment for User Centred Design discussions.” Designing Augmented Reality Environments (DARE 2000), Helsingor.
  5. 5. Yang, Ching-Chow 2003 “Six sigma and Total Quality Management”
  6. 6. CollierD. A. 1994 Research opportunities in service process design
  7. 7. GaverB.DunneT.PacentiE. 1999Design: Cultural Probes.” Interaction 6 1 2129 .
  8. 8. LindsayC.RocchiS. 2003 “‘Highly Customerised Solutions’- The Context of Use Co-Research Methodology”. Innovating for Sustainability. 11th International Conference of Greening of Industry Network, San Francisco.
  9. 9. Johnston and Clark 2000The service concept: the missing link in service design research”
  10. 10. KumarV. 2004 User Insights Tool: a sharable database for user research. Chicago, Design Institute at IIT.
  11. 11. LagasseR.SteinbergE.KatzR.SaubermannA. 1995Defining Quality of Perioperative Care by Statistical Process Control of Adverse Outcomes”, Anesthesiology, 82 5 11851188 .
  12. 12. LocockL. 2003Healthcare redesign: meaning, origins and application.” Department of Social Policy and Social Work, University of Oxford.
  13. 13. MorelliN. 2006Designing product/service systems: A methodological exploration. Design (3 EOF17 EOF ), 3-1
  14. 14. PlekP. E.Techniques“.formanaging.quality” Hospital and Health Services Administration, 40 40 1 spring 1995.
  15. 15. ShostackG. L. 1982 How to design a service.” European Journal of Marketing, 16 1 4963 .
  16. 16. ShostackG. L. 1984 ”Designing services that deliver.“ Harvard Business Review, 62(1), 133-139
  17. 17. SimonH. A. 1969 The sciences of the artificial (1st Ed.) Cambridge, MA: MIT Press.
  18. 18. ShortP. J.adRahim. M. A. 1995Total Quality Management in Hospitals”, ShortP. J.adRahim. M. A. (1995), “Total Quality Management in Hospitals”, Total Quality Management, Vol.6 No.3, Pp.255-63., 6 3 255263 .
  19. 19. Sureshchandar, G. S. (2001), ‘‘A Conceptual Model for total quality management in service organization’’, Total Quality Management, Vol. 12 No.3, Pp.341-63.
  20. 20. TerziovskjM.SohalA.SamsonD. 1996 ‘‘Best Practice Implementation of Total Quality Management: Multiple Cross Case Analysis of Manufacturing and Services Organizations”, Total Quality Management 7(5) 459481
  21. 21. ThompsonK. R. 1998Confronting the paradoxes in a Total Quality Environment”, Organizational Dynamics, winter, 6274 .
  22. 22. WaltonM. 1986The Deming Management Method” (Perigee Books).
  23. 23. WilkinsonA.Willmolt-II. 1996Quality Management Problems and Pitfalls a critical perspective”, International Journal of Quality & Reliability Management 13(2), 5565 .
  24. 24. YangC. C. 1997 “Quality is the Best Strategy in Competition.” APEX International Management Consulting Co., Taiwan.
  25. 25. ZairiM. 1999Managing Excellence: Policy and Strategy”, the TQM Magazine, 11(2), 7479 .

Written By

Johnson Olabode Adeoti

Submitted: 19 December 2011 Published: 01 August 2012