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13 August 2023: Clinical Research

Meeting Patient Expectations: Assessing Medical Service and Quality of Care Using the SERVQUAL Model in Dermatology Patients at a Single Center in Poland

Aleksandra Jonkisz 1ABCDEF* , Piotr Karniej 23ADEF , Dorota Maria Krasowska 1ABCDEF

DOI: 10.12659/MSM.941007

Med Sci Monit 2023; 29:e941007

Table 7 Results of the intergroup analysis of particular dimensions in the SERVQUAL model by place of residence of the patients surveyed.

SERVQUAL dimensionP value* (main effect)P value** (multiple comparisons)
Materiality – expected0.761
Tangibility – received0.042Village vs city up to 10 000 inhabitants: P=0.702Village vs city up to 100 000 inhabitants: P=0.431Village vs city over 100 000 inhabitants: P=0.023Town up to 10 000 inhabitants vs city up to 100 000 inhabitants: P=0.991Town up to 10 000 inhabitants vs city over 100 000 inhabitants: P=0.616Town up to 100 000 inhabitants vs city over 100 000 inhabitants: P=0.768
Tangibility – difference0.017Village vs city up to 10 000 inhabitants: P=0.555Village vs city up to 100 000 inhabitants: P=0.223Village vs city over 100 000 inhabitants: P=0.009Town up to 10 000 inhabitants vs city up to 100 000 inhabitants: P=0.976Town up to 10 000 inhabitants vs city over 100 000 inhabitants: P=0.611City up to 100 000 inhabitants vs city over 100 000 inhabitants: P=0.840
Reliability – expected0.216
Reliability – received0.045Village vs city up to 10 000 inhabitants: P=0.907Village vs city up to 100 000 inhabitants: P=0.933Village vs city over 100 000 inhabitants: P=0.028Town up to 10 000 inhabitants vs city up to 100 000 inhabitants: P=0.999Town up to 10 000 inhabitants vs city over 100 000 inhabitants: P=0.394Town up to 100 000 inhabitants vs city over 100 000 inhabitants: P=0.268
Reliability – difference0.015Village vs city up to 10 000 inhabitants: P=0.904Village vs city up to 100 000 inhabitants: P=0.293Village vs city over 100 000 inhabitants: P=0.009Town up to 10 000 inhabitants vs city up to 100 000 inhabitants: P=0.827Town up to 10 000 inhabitants vs city over 100 000 inhabitants: P=0.244City up to 100 000 inhabitants vs city over 100 000 inhabitants: P=0.748
Responsiveness – expected0.675
Responsiveness – received0.016Village vs city up to 10 000 inhabitants: P=0.596Village vs city up to 100 000 inhabitants: P=0.957Village vs city over 100 000 inhabitants: P=0.010Town up to 10 000 inhabitants vs city up to 100 000 inhabitants: P=0.898Town up to 10 000 inhabitants vs city over 100 000 inhabitants: P=0.592City up to 100 000 inhabitants vs city over 100 000 inhabitants: P=0.132
Responsiveness – difference0.009Village vs city up to 10 000 inhabitants: P=0.507Village vs city up to 100 000 inhabitants: P=0.651Village vs city over 100 000 inhabitants: P=0.004Town up to 10 000 inhabitants vs city up to 100 000 inhabitants: P=0.992Town up to 10 000 inhabitants vs city over 100 000 inhabitants: P=0.528City up to 100 000 inhabitants vs city over 100 000 inhabitants: P=0.282
Assurance – expected0.234
Assurance – received0.084
Assurance – difference0.115
Empathy – expected0.148
Empathy – received0.044Village vs city up to 10 000 inhabitants: P=0.321Village vs city up to 100 000 inhabitants: P=0.637Village vs city over 100 000 inhabitants: P=0.029Town up to 10 000 inhabitants vs city up to 100 000 inhabitants: P=0.948Town up to 10 000 inhabitants vs city over 100 000 inhabitants: P=0.948City up to 100 000 inhabitants vs city over 100 000 inhabitants: P=0.616
Empathy – difference0.040Village vs city up to 10 000 inhabitants: P=0.577Village vs city up to 100 000 inhabitants: P=0.152Village vs city over 100 000 inhabitants: P=0.037Town up to 10 000 inhabitants vs city up to 100 000 inhabitants: P=0.932Town up to 10 000 inhabitants vs city over 100 000 inhabitants: P=0.813Town up to 100 000 inhabitants vs city over 100 000 inhabitants: P=0.994
* Univariate analysis of variance;
** Tukey test (post-hoc).

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750