Empirical studies of healthcare service experiences across the patient journey
| Study | Context | Method | Phase | Key findings | Logic alignment |
|---|---|---|---|---|---|
| Mekoth et al. (2011) | Outpatient services, India | Survey | Service encounter | Service encounter process quality predicts satisfaction and revisit intentions | SL |
| Riebling et al. (2019) | Hospital laboratories, USA | Survey | Service encounter | Reliability and communication more influential than tangibles | SDL/SL |
| Akın and Okumuş (2022) | Healthcare, Turkey | Survey | Service encounter | Empathy and trust emerge as primary drivers of satisfaction | SL |
| Sukmawati et al. (2024) | Hospitals, Indonesia | Survey | Service encounter | Empathy, reliability and responsiveness are key determinants of patient satisfaction | SDL/SL |
| Gualandi et al. (2021) | Patient journeys, Italy | Case study; journey mapping | Pre-service and encounter | Information quality reduces uncertainty and shapes expectations across the patient journey | SL/CDL |
| L’Angiocola and Giambattista (2024) | Gynaecological services | Design intervention | Pre- and post-service | Human-centred service design improves emotional experience and supports value co-creation in gynaecological care | CDL |
| Seppänen et al. (2017) | Healthcare, Finland | Case study | Pre- and post-service | Customer dominant logic emerges when providers incorporate patients’ life context and ecosystem into service processes | CDL |
| Ding et al. (2019) | Hospitals, China | Survey | Service encounter | Patient participation improves satisfaction | SDL/SL |
| Rochette et al. (2021) | Oncology, Canada | Intervention (nurse follow-up) | Post-service | Follow-up strengthens reassurance and continuity, with implications for patient autonomy | SL |
| Gambarov et al. (2017) | Healthcare loyalty | Survey | Post-service | Loyalty programs function as institutional mechanisms that enhance engagement, trust and value co-creation | SDL |
| Patrício et al. (2018) | Healthcare ecosystems | Case study; service design | Cross-phase | Service design for value networks supports multi-actor coordination and service system improvement | SDL |
| Peng et al. (2022) | Healthcare platforms | Systematic study | Cross-phase | Resource integration enables healthcare value co-creation across platform-based settings | SDL |
| Fusco et al. (2023) | Healthcare systems | Case study | Cross-phase | Institutional context shapes healthcare co-creation outcomes | SDL |
| Chandra et al. (2024) | Digital feedback | Survey | Cross-phase | Real-time feedback and predictive modelling support patient-centred care and experience management | SDL/SL |
| Salam and Bajaba (2021) | Digital healthcare systems during COVID-19 | Survey | Cross-phase | Transformative healthcare technologies enhance satisfaction and quality of life through improved service system quality | SDL |
| Chen et al. (2024) | Humanistic lean healthcare model | Qualitative interviews | Cross-phase | Integrating medical humanities into lean healthcare strengthens patient-centred care, trust and personalised service | SL/CDL |
| Study | Context | Method | Phase | Key findings | Logic alignment |
|---|---|---|---|---|---|
| Outpatient services, India | Survey | Service encounter | Service encounter process quality predicts satisfaction and revisit intentions | ||
| Hospital laboratories, | Survey | Service encounter | Reliability and communication more influential than tangibles | SDL/SL | |
| Healthcare, Turkey | Survey | Service encounter | Empathy and trust emerge as primary drivers of satisfaction | ||
| Hospitals, Indonesia | Survey | Service encounter | Empathy, reliability and responsiveness are key determinants of patient satisfaction | SDL/SL | |
| Patient journeys, Italy | Case study; journey mapping | Pre-service and encounter | Information quality reduces uncertainty and shapes expectations across the patient journey | SL/CDL | |
| Gynaecological services | Design intervention | Pre- and post-service | Human-centred service design improves emotional experience and supports value co-creation in gynaecological care | ||
| Healthcare, Finland | Case study | Pre- and post-service | Customer dominant logic emerges when providers incorporate patients’ life context and ecosystem into service processes | ||
| Hospitals, China | Survey | Service encounter | Patient participation improves satisfaction | SDL/SL | |
| Oncology, Canada | Intervention (nurse follow-up) | Post-service | Follow-up strengthens reassurance and continuity, with implications for patient autonomy | ||
| Healthcare loyalty | Survey | Post-service | Loyalty programs function as institutional mechanisms that enhance engagement, trust and value co-creation | ||
| Healthcare ecosystems | Case study; service design | Cross-phase | Service design for value networks supports multi-actor coordination and service system improvement | ||
| Healthcare platforms | Systematic study | Cross-phase | Resource integration enables healthcare value co-creation across platform-based settings | ||
| Healthcare systems | Case study | Cross-phase | Institutional context shapes healthcare co-creation outcomes | ||
| Digital feedback | Survey | Cross-phase | Real-time feedback and predictive modelling support patient-centred care and experience management | SDL/SL | |
| Digital healthcare systems during COVID-19 | Survey | Cross-phase | Transformative healthcare technologies enhance satisfaction and quality of life through improved service system quality | ||
| Humanistic lean healthcare model | Qualitative interviews | Cross-phase | Integrating medical humanities into lean healthcare strengthens patient-centred care, trust and personalised service | SL/CDL |
(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