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A Soft Systems Methodology Approach to Occupational Cancer Control Problem: a Case Study of the Ministry of Petroleum of Iran

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Abstract

Petroleum industries of Iran offer some of the best job opportunities within Iranian labor market. However, due to the attributes of the chemicals used in these industries, their staffs are exposed to various risk factors of several chronic diseases. Such exposures might lead to cancer incidence after a decade or two. The Ministry of Petroleum (MoP) runs an organization, namely Petroleum Industry Health Organization (PIHO), which is responsible for the health insurance of the personnel working in Petroleum industries. PIHO and Health, Safety & Environment (HSE) units play fundamental roles in providing the employees with health services during their professional life and retirement period. Yet, these organizations still do not have a system to specify occupational cancer control mechanisms at the MoP. The negative influences of cancer on patients suffering from it as well as its heavy costs of treatment have forced MoP to put measures of coping with this chronic disease in the first priority. This paper aims to define the structure and design a framework for MoP’s occupational cancer control problem as the first step for improving the described situation. Given the presence of various stakeholders and actors, and the wide range of complexities of this problematic situation, we have adopted Soft System Methodology (SSM). We have reached an agreement with the problem owners on a rich picture, CATWOE analysis, root definition and a conceptual model for the way this situation could improve within real world circumstances. The results were obtained through various sessions with practitioner from different departments of MoP, while the conflict of interests was common.

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Notes

  1. CAS Registry Numbers are unique numerical identifiers assigned by the Chemical Abstracts Service and the most authoritative collection of disclosed chemical substance information, containing more than 72 million substances

  2. CRC is affiliated to Tehran University of Medical Sciences (TUMS) and an affiliate of Cancer Institute of Iran.

References

  • Ackermann F et al (2014) Special issue on problem structuring research and practice. EURO J Decis Process 2(3–4):165–172

    Article  Google Scholar 

  • Bell S, Morse S (2013) How people use rich pictures to help them think and act. Syst Pract Action Res 26(4):331–348

    Article  Google Scholar 

  • Bell JG et al (1995) A systematic approach to health surveillance in the workplace. Occup Med 45(6):305–310

    Article  Google Scholar 

  • Bergvall-Kareborn B et al (2004) Basic principles of SSM modeling: an examination of CATWOE from a soft perspective. Syst Pract Action Res 17(2):55–73

    Article  Google Scholar 

  • Bolt HM (2002) Occupational versus environmental and lifestyle exposures of children and adolescents in the European Union. Toxicol Lett 127(1–3):121–126

    Article  Google Scholar 

  • Boogaard PJ et al (2012) A consistent and transparent approach for calculation of derived no-effect levels (DNELs) for petroleum substances. Regul Toxicol Pharmacol 62(1):85–98

    Article  Google Scholar 

  • Brooke D et al (2005) International review of surveillance and control of workplace exposures. Australia, Reported to the New Zealand National Occupational Health and Safety Advisory Committee (NOHSAC) & The Office of the Australian Safety & Compensation Council (OASCC) by VIOSH Australia at the University of Ballarat

  • Checkland P (1999) Systems thinking, systems practice. Wiley, Chichester

    Google Scholar 

  • Checkland P (2000) Soft systems methodology: a thirty year retrospective. Syst Res Behav Sci 17:S11–S58

    Article  Google Scholar 

  • Checkland P, Davies L (1986) The use of the term ‘weltanschauung’ in soft systems methodology. J Appl Syst Anal 13:109–115

    Google Scholar 

  • Checkland P, Poulter J (2006) Learning for action: a short definitive account of soft systems methodology and its use for practitioners, teachers and students. Wiley, Chichester

    Google Scholar 

  • Checkland P, Scholes J (1990) Soft systems meyhodology in action. Wiley, Chichester

    Google Scholar 

  • Checkland P, Winter M (2006) Process and content: two ways of using SSM. J Oper Res Soc 57:1435–1441

    Article  Google Scholar 

  • Deschamps F et al (2006) Estimates of work-related cancers in workers exposed to carcinogens. Occup Med 56:204–209

    Article  Google Scholar 

  • Fine LJ (1999) Surveillance and occupational health. Int J Occup Environ Health 5(1):26–29

  • Gaffney SH et al (2010) Occupational exposure to benzene at the ExxonMobil refinery in Beaumont, TX (1976–2007). Int J Hyg Environ Health 213(4):285–301

    Article  Google Scholar 

  • Gardner R (2003) Overview and characteristics of some occupational exposures and health risks on offshore oil and gas installations. Ann Occup Hyg 47(3):201–210

    Google Scholar 

  • Glass DC et al (2000) Retrospective exposure assessment for benzene in the Australian petroleum Industr. Ann Occup Hyg 44(4):301–320

    Article  Google Scholar 

  • Hanafizadeh P, Vali Zadeh R (2014) Vendor selection using soft thinking approach: a case study of National Iranian South Oil Company. Syst Pract Action Res:1–27

  • Horn P (2000) Using rich pictures in information systems teaching. 1st international conference on systems thinking in management. Geelong, Australia

  • International Organization for Standardization (2007) ISO 31000:2007 Risk management — Principles and guidelines

  • Jensen OM et al (1991) Cancer registration: princples and methods. International Agency for Research on Cancer (IARC) Scientific Publication No. 95, Lyon

    Google Scholar 

  • Kamal A et al (2012) Chemical exposure in occupational settings and related health risks: a neglected area of research in Pakistan. Environ Toxicol Pharmacol 34:46–58

    Article  Google Scholar 

  • Kauppinen T et al (2009) Construction of job-exposure matrices for the Nordic occupational cancer study (NOCCA). Acta Oncol 48(5):791–800

    Article  Google Scholar 

  • Kelly GC et al (2012) Malaria elimination: moving forward with spatial decision support systems. Trends Parasitol 28(7):297–304

    Article  Google Scholar 

  • LaMontagne A et al (2002) Exposure databases and exposure surveillance: promise and practice. Am Ind Hyg Assoc J 63(2):205–212

    Article  Google Scholar 

  • Lincoln JM et al (2012) Occupational fatalities in Alaska: two decades of progress, 1990–1999 and 2000–2009. J Saf Res 44(1):105–10

  • Malik N et al (2010) Role of hazard control measures in occupational health and safety in the textile industry of Pakistan. Pak J Agric Sci 47:72–76

    Google Scholar 

  • Mannetje A, Kromhout H (2003) The use of occupation and industry classifications in general population studies. Int J Epidemiol 32(3):419–428

    Article  Google Scholar 

  • Maroni M et al (1999) Risk assessment and management of occupational exposure to pesticides. Toxicol Lett 107:145–153

    Article  Google Scholar 

  • Martin JM et al (1991) Surveillance of occupational risks using job-exposure matrices. Methods Inf Med 30(2):132–137

    Google Scholar 

  • Mingers J (2000) An idea ahead of its time: the history and development of soft systems methodology. Syst Pract Action Res 13:733–756

    Article  Google Scholar 

  • Mingers J (2011a) Soft OR comes of age—but not everywhere! Omega 39(6):729–741

    Article  Google Scholar 

  • Mingers J (2011b) Soft OR comes of age — but not everywhere! Omega 39:729–741

    Article  Google Scholar 

  • Mingers J, Brocklesby J (1997) Multimethodology: towards a framework for mixing methodologies. Omega 25(5):489–509

    Article  Google Scholar 

  • Mingers J, Rosenhead J (2004) Problem structuring methods in action. Eur J Oper Res 152:530–554

    Article  Google Scholar 

  • Mingers J et al (2009) Using SSM to structure the identification of inputs and outputs in DEA. J Oper Res Soc 60(2):168–179

    Article  Google Scholar 

  • Moon B (1996) Epidemiology of occupational cancer. Occup Med 11:467–485

    Google Scholar 

  • Paucar-Caceres A (2009) Measuring the performance of a research strategic plan system using the soft systems Methodology’s three ‘Es’ and the viable system Model’s indices of achievement. Syst Pract Action Res 22(6):445–462

    Article  Google Scholar 

  • Paucar-Caceres A (2010) Mapping the changes in management science: a review of `soft' OR/MS articles published in omega (1973–2008). Omega 38:46–56

    Article  Google Scholar 

  • Peragallo MS et al (2011) Evaluation of cancer surveillance completeness among the Italian army personnel, by capture–recapture methodology. Cancer Epidemiol 35:132–138

    Article  Google Scholar 

  • Peters S et al (2012) Development of an exposure measurement database on five lung carcinogens (ExpoSYN) for quantitative retrospective occupational exposure assessment. Annu Occup Hyg 56(1):70–79

    Google Scholar 

  • Pukkala PE et al (2009) Occupation and cancer – follow-up of 15 million people in five Nordic countries. Acta Oncol 48(5):646–790

    Article  Google Scholar 

  • Reed JV, Harcourt AK (1941) The essentials of occupational diseases. Springfield, Ill., Baltimore, Md., C.C. Thomas

  • Schipper JD et al (2012) A knowledge-based clinical toxicology consultant for diagnosing single exposures. Artif Intell Med 55:87–95

    Article  Google Scholar 

  • Simon B et al (2016) Rich pictures: encouraging resilient communities; Earthscan tools for community planning. Routledge, London

    Google Scholar 

  • Smith TD, DeJoy DM (2012) Occupational injury in America: an analysis of risk factors using data from the general social survey (GSS). J Saf Res 43:67–74

    Article  Google Scholar 

  • Tabershaw Occupational Medicine Associates. (1979) Job code classification system: Part 1—Petroleum refineries and selected petrochemical operations. Washington, API

  • Tajino A et al (2005) Beyond needs analysis: soft systems methodology for meaningful collaboration in EAP course design. J Engl Acad Purp 4(1):27–43

    Article  Google Scholar 

  • Teutsch SM, Thacker SB (1995) Planning a public health surveillance system. Epidemiol Bull 16(1):1–6

  • Tompa A et al (2005) Risk management among benzene-exposed oil refinery workers. Int J Hyg Environ Health 208(6):509–516

    Article  Google Scholar 

  • Torlak NG, Müceldili B (2014) Soft systems methodology in action: the example of a private hospital. Syst Pract Action Res 27(4):325–361

    Article  Google Scholar 

  • Villeneuve PJ et al (2011) Occupational exposure to diesel and gasoline emissions and lung cancer in Canadian men. Environ Res 111(5):727–735

    Article  Google Scholar 

  • Williams T (2009) Management science in practice. Wiley, Chichester

  • Winter M (2006) Problem structuring in project management: an application of soft systems methodology (SSM). J Oper Res Soc 57:802–812

    Article  Google Scholar 

  • Zarei B et al (2013) Road freight information systems: a soft system methodology approach. Int J Logist Syst Manag 14(2):161–178

    Article  Google Scholar 

Download references

Acknowledgements

We would like to express our sincere gratitude for the kind and generous support by Dr. Kazem Zendehdel (MD PhD) and Dr. Mohammadreza Rouhollahi (MD) from Cancer Research Center and Also Dr. Yahya Khosravi from Alborz University of Medical Sciences who provided us with the medical knowledge required for designing the conceptual model of the problem.

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Correspondence to Ramin Sepehrirad.

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Sepehrirad, R., Rajabzadeh, A., Azar, A. et al. A Soft Systems Methodology Approach to Occupational Cancer Control Problem: a Case Study of the Ministry of Petroleum of Iran. Syst Pract Action Res 30, 609–626 (2017). https://doi.org/10.1007/s11213-017-9409-8

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