Table 4.

Empirical studies of healthcare service experiences across the patient journey

StudyContextMethodPhaseKey findingsLogic alignment
Mekoth et al. (2011) Outpatient services, IndiaSurveyService encounterService encounter process quality predicts satisfaction and revisit intentionsSL
Riebling et al. (2019) Hospital laboratories, USASurveyService encounterReliability and communication more influential than tangiblesSDL/SL
Akın and Okumuş (2022) Healthcare, TurkeySurveyService encounterEmpathy and trust emerge as primary drivers of satisfactionSL
Sukmawati et al. (2024) Hospitals, IndonesiaSurveyService encounterEmpathy, reliability and responsiveness are key determinants of patient satisfactionSDL/SL
Gualandi et al. (2021) Patient journeys, ItalyCase study; journey mappingPre-service and encounterInformation quality reduces uncertainty and shapes expectations across the patient journeySL/CDL
L’Angiocola and Giambattista (2024) Gynaecological servicesDesign interventionPre- and post-serviceHuman-centred service design improves emotional experience and supports value co-creation in gynaecological careCDL
Seppänen et al. (2017) Healthcare, FinlandCase studyPre- and post-serviceCustomer dominant logic emerges when providers incorporate patients’ life context and ecosystem into service processesCDL
Ding et al. (2019) Hospitals, ChinaSurveyService encounterPatient participation improves satisfactionSDL/SL
Rochette et al. (2021) Oncology, CanadaIntervention (nurse follow-up)Post-serviceFollow-up strengthens reassurance and continuity, with implications for patient autonomySL
Gambarov et al. (2017) Healthcare loyaltySurveyPost-serviceLoyalty programs function as institutional mechanisms that enhance engagement, trust and value co-creationSDL
Patrício et al. (2018) Healthcare ecosystemsCase study; service designCross-phaseService design for value networks supports multi-actor coordination and service system improvementSDL
Peng et al. (2022) Healthcare platformsSystematic studyCross-phaseResource integration enables healthcare value co-creation across platform-based settingsSDL
Fusco et al. (2023) Healthcare systemsCase studyCross-phaseInstitutional context shapes healthcare co-creation outcomesSDL
Chandra et al. (2024) Digital feedbackSurveyCross-phaseReal-time feedback and predictive modelling support patient-centred care and experience managementSDL/SL
Salam and Bajaba (2021) Digital healthcare systems during COVID-19SurveyCross-phaseTransformative healthcare technologies enhance satisfaction and quality of life through improved service system qualitySDL
Chen et al. (2024) Humanistic lean healthcare modelQualitative interviewsCross-phaseIntegrating medical humanities into lean healthcare strengthens patient-centred care, trust and personalised serviceSL/CDL
Note(s):

(i) Phase refers to the dominant temporal focus: pre-service (anticipation), encounter (interaction) or post-service (reflection/continuity). Cross-phase refers to longitudinal or ecosystem-oriented designs. (ii) Logic alignment reflects the dominant theoretical orientation of each study. Studies marked with dual alignments (e.g. SL/SDL) draw on elements from both perspectives, typically combining interaction-level analysis (SL) with ecosystem or resource integration framing (SDL) or interaction dynamics (SL) with lifeworld embedding (CDL). (iii) The table presents a representative selection of empirical and design-oriented studies addressing patient experience and value formation across phases of the healthcare journey. Conceptual contributions such as Helkkula et al. (2023) on glocalisation tensions are discussed in the text but not included here

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