Skip to main content
Log in

Quality assessment for improving healthcare service management

  • Methodologies and Application
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

The aim of this study is to carry out an assessment of the quality of services provided to clients of medical clinics, transforming the subjectivity of their perceptions into consistent data to improve health services. We use an approach that integrates the Fuzzy Set Theory and the quality tools QFD and SERVQUAL in the health services sector, reducing the subjectivity of the client's perception of the service provided. According to the results, the requirement with the highest priority was ‘effectiveness'. So, managers need to give higher priority in terms of resources to try to take advantage of the customer's perception. The second high-priority requirement was ‘acceptability’. In relation to this requirement, service managers must prioritize actions related to the care, desires and values of patients and their families. It is interesting to understand the ‘equity' and ‘efficiency' requirements. In this case, the company's managers must observe the priority level over those evaluated with the lowest rating and allocate the company's resources to the highest priority requirements. This approach seeks to contribute to the publication of academic studies in health services, assessing the quality of health services in a more complete and effective way.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Altuntas S, Kansu S (2019) An innovative and integrated approach based on SERVQUAL, QFD and FMEA for service quality improvement A case study. KYBERNETES, ahead-of-print.

  • Anderson S, Nasr L, Rayburn SW (2017) Transformative service research and service design: synergistic effects in healthcare. The Service Industries Journal, Special Issue: Hospitality and Healthcare Design, pp 1–15.

  • Awasthi A, Chauhan SS, Omrani H, Panahi A (2011) A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality. Comput Ind Eng 6(3):637–646

    Article  Google Scholar 

  • Awasthi A, Sayyadi R, Khabbazian A (2018) A combined approach integrating gap analysis, QFD and AHP for improving logistics service quality. Int J Logist Syst Manage (IJLSM) 29(2):190–214

    Google Scholar 

  • Barutcu S (2019) Health apps design using quality function deployment. Int J Health Care Qual Assur 32(4):698–708

    Article  Google Scholar 

  • Batista DA, Medeiros DD (2014) Assessment of quality services through linguistic variables. Benchmarking Int J 21(1):28–45

    Article  Google Scholar 

  • Behdioglu S, Acar E, Burhan HA (2019) Evaluating service quality by fuzzy SERVQUAL: a case study in a physiotherapy and rehabilitation hospital. Total Qual Manag Bus Excell 30(3–4):301–319

    Article  Google Scholar 

  • Bottani E (2009) A fuzzy QFD approach to achieve agility. Int J Prod Econ 119(2):380–391

    Article  Google Scholar 

  • Buttigieg SC, Dey PK, Cassar MR (2016) Combined quality function deployment and logical framework analysis to improve quality of emergency care in Malta. Int J Health Care Qual Assur 29(2):123–140

    Article  Google Scholar 

  • Chou CC, Liu LJ, Huang SF, Yih JM, Han TC (2011) An evaluation of airline service quality using the fuzzy weighted SERVQUAL method. Appl Soft Comput 11(2):2117–2128

    Article  Google Scholar 

  • Christine N-L-T, Adedapo O-O, Jun H-C, Ramaya T (2019) Measuring the influence of service quality on patient satisfaction in Malaysia. Qual Manag J 26(3):129–143

    Article  Google Scholar 

  • Deb M (2012) Evaluation of customer´s small preferences in India using fuzzy AHP approach. J Adv Manage Res 9(1):29–44

    Article  Google Scholar 

  • Donabedian A (1990) The seven pillars of quality. Arch Pathol Lab Med 14(12):1115–1118

    Google Scholar 

  • Gilavand A, Maraghi E (2019) Assessing the quality of educational services of Iranian Universities of medical sciences based on the SERVQUAL evaluation model: a systematic review and meta-analysis. Iranian J Med Sci 44(4):273–284

    Google Scholar 

  • Hu HY, Lee YC, Yen TM (2010) Service quality gaps analysis based on Fuzzy linguistic SERVQUAL with a case study inhospital out-patient services. TQM J 22(5):499–515

    Article  Google Scholar 

  • Huseinspahic N, Kulasin D (2019) Research of the technical and functional dimension to the perception of total quality of services in health. Casopis Za Ekonomiju I Trzisne Komunikacije 9(2):311–324

    Google Scholar 

  • Jia GZ, Bai M (2011) An approach for manufacturing strategy development based on fuzzy-QFD. Comput Ind Eng 71:479–492

    Google Scholar 

  • Karsak EE (2004) Fuzzy multiple objective programming framework to prioritize design requirements in quality function deployment. Comput Ind Eng 47(2–3):149–163

    Article  Google Scholar 

  • Kreye ME (2017) Relational uncertainty in service dyads. Int J Oper Prod Manag 37(3):363–381

    Article  Google Scholar 

  • Kumar A, Bansal A, Babbar N (2013) Fully fuzzy linear systems of triangular fuzzy numbers (a, b, c). Int J Intell Comput Cybern 6(1):21–44

    Article  MathSciNet  Google Scholar 

  • Lin LZ, Chen WC, Chang TJ (2011) Using FQFD to analyze island accommodation management in fuzzy linguistic preferences. Expert Syst Appl 38(6):7738–7745

    Article  Google Scholar 

  • Lin LZ, Yeh HR, Wang MC (2015) Integration of Kano’s model into FQFD for Taiwanese Ban-Doh banquet culture. Tour Manage 46(1):245–262

    Article  Google Scholar 

  • Lupo T (2016) Fuzzy framework to evaluate service quality in the healthcare industry: An empirical case of public hospital service evaluation in Sicily. Appl Soft Comput 40:468–478

    Article  Google Scholar 

  • Moita GF, Barbosa ACQ, Raposo VMR (2019) Quality Saude - a multi-centric cross-cultural adaptation of the Servqual satisfaction constructs for the SUS, by translating knowledge from experts and users. Revista Do Servico Público 70(2):325–364

    Article  Google Scholar 

  • Naveed RT, Albassami AM, Ahmad N, Moshfegyan M (2019) Patient satisfaction through modified SERVQUAL model. Pac Business Rev Int 11(7):96–106

    Google Scholar 

  • Parasuraman A, Zeithalm VA, Berry LL (1985) A conceptual model of services quality and its implication for future research. J Mark 49(4):41–50

    Article  Google Scholar 

  • Parasuraman A, Zeithalm VA, Berry LL (1988) SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. J Retail 64(1):12–40

    Google Scholar 

  • Prascevic Z, Prascevic N (2013) One modification of fuzzy TOPSIS method. J Model Manag 8(1):81–102

    Article  Google Scholar 

  • Rahman Z, Qureshi MN (2008) Developing new services using fuzzy QFD: a LIFENET case study. Int J Health Care Qual Assur 21(7):638–658

    Article  Google Scholar 

  • Sabbagh O, Rahman MNA, Ismail WR, Hussain WMHW (2017) The moderation influence of warranty on customer satisfaction’s antecedents: an empirical evidence from automotive dealerships. Serv Ind J 37(5–6):381–407

    Article  Google Scholar 

  • Saleh A, Yazan M (2019) Operations strategies alignment patterns and service quality: airline global analysis. Qual Manag J 26(3):144–156

    Article  Google Scholar 

  • Santos RR, Melo FJCM, Claudino CNQ, Medeiros DD (2017) Model for formulating competitive strategy: the supplementary health sector case. Benchmarking: Int J 24(1):219–243

    Article  Google Scholar 

  • Teymourifar A, Kaya O, Ozturk G (2020) Contracting models for pricinng and capacity decisions in healthcare systems. Omega 100:102232

    Article  Google Scholar 

  • Vinodh S, Chintha SK (2011) Application of fuzzy QFD for enabling agility in a manufacturing organization - A case study. TQM J 23(3):343–357

    Article  Google Scholar 

  • Wang P (1996) The Interpretation of fuzziness. IEEE Trans Syst, Man, Cybern Part B: Cybern 26(2):321–326

    Article  Google Scholar 

  • Wang J-J, Li Z-P, Shi J-J, Chang A-C (2020) Hospital referral and capacity strategies in the two-tier healthcare systems. Omega 100:102229

    Article  Google Scholar 

  • Weiber Junior CA, Marchetti RZ, Scheuer L, Leite AC (2019) Marketing strategies: an evaluation of health services. Caderno Profissional De Market UNIMEP 7(1):134–151

    Google Scholar 

  • Yager RR (1981) A procedure for ordering fuzzy subsets of the unit interval. Inform Sci 24(2):143–161

    Article  MathSciNet  Google Scholar 

  • Yu L, Wang L, Bao Y (2018) Technical attributes ratings in fuzzy QFD by integrating interval-valued intuitionistic fuzzy sets and Choquet integral. Soft Comput 22(6):2015–2024

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8(1):338–353

    Article  Google Scholar 

  • Zhao J, Wang T, Fan X (2015) Patient value co-creation in online health communities. J Serv Manag 26(1):72–96

    Article  Google Scholar 

Download references

Acknowledgements

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001, the Conselho Nacional de Desenvolvimento Científico e Tecnológico – Brasil (CNPQ) and the Fundação de Amparo a Ciência e Tecnologia de Pernambuco (FACEPE).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to André Philippi Gonzaga de Albuquerque.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

de Araújo Batista, D., de Melo, F.J.C., de Albuquerque, A.P.G. et al. Quality assessment for improving healthcare service management. Soft Comput 25, 13213–13227 (2021). https://doi.org/10.1007/s00500-021-06175-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-021-06175-5

Keywords

Navigation