Reporting and conducting patient journey mapping research in healthcare: A scoping review
Open accessAbstract
Aim: To identify how patient journey mapping is being undertaken and reported. Design: A scoping review of the literature was undertaken using JBI guidance. Data Sources: Databases were searched in July 2021 (16th–21st), including Ovid's Medline, Embase, Emcare and PsycINFO; Scopus; Web of Science Core Collection, the Directory of Open Access Journals; Informit and; ProQuest Dissertations and Theses Global. Review Methods: Eligible articles included peer‐reviewed literature documenting journey mapping methodologies and studies conducted in healthcare services. Reviewers used Covidence to screen titles and abstracts of located sources, and to screen full‐text articles. A table was used to extract data and synthesize results. Results: Eighty‐one articles were included. An acceleration of patient journey mapping research was observed, with 76.5% ( n = 62) of articles published since 2015. Diverse mapping approaches were identified. Reporting of studies was inconsistent and largely non‐adherent with relevant, established reporting guidelines. Conclusion: Patient journey mapping is a relatively novel approach for understanding patient experiences and is increasingly being adopted. There is variation in process details reported. Considerations for improving reporting standards are provided. Impact: Patient journey mapping is a rapidly growing approach for better understanding how people enter, experience and exit health services. This type of methodology has significant potential to inform new, patient centred models of care and facilitate clinicians, patients and health professionals to better understand gaps and strategies in health services. The synthesised results of this review alert researchers to options available for journey mapping research and provide preliminary guidance for elevating reporting quality.
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Patient journey mapping has been effectively used to understand patient experience, improve quality of care, and inform health service redesign/improvement.
“Of the existing literature, patient journey mapping has been effectively used to understand the patient experience [16–18], improve the quality of care [7, 19], and for informing health service redesign/improvement [13, 15, 20].”
From The hospital-to-home care transition experience of home care clients: an exploratory study using patient journey mapping (2023) · cites this paper as [13]
The Results and Conclusion (pages unavailable) say journey mapping is used to understand patient experiences and identify gaps in service delivery. The Introduction describes improving care quality as a reason for undertaking mapping, while the Discussion says mapping appears able to lead to health service reform. These passages do not establish that it has already been effective in improving care quality or delivering service redesign. (LLM, conf=0.84)
Experimental — accuracy not yet measuredGuidelines on adequate sample size for patient journey mapping do not exist, but studies commonly cite larger sample sizes as ten or more participants.
“Although guidelines on adequate sample size for patient journey mapping do not exist, studies commonly cite larger sample sizes as ten or more participants [13].”
From The hospital-to-home care transition experience of home care clients: an exploratory study using patient journey mapping (2023) · cites this paper as [13]
Table 1 in the Results (Characteristics of included articles; page unavailable) shows that many reviewed studies mapped journeys for 10 or more patients. The Introduction (Background; page unavailable) says there is no standardized approach to patient journey mapping, but the paper does not specifically establish that adequate-sample-size guidelines do not exist or that studies commonly define a ‘larger’ sample as ten or more participants. (LLM, conf=0.82)
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BackgroundMethodInfluential
- Authors
- Davies, E. L., Bulto, L. N., Walsh, A., Pollock, D., Langton, V. M., Laing, R. E., Graham, A., Arnold‐Chamney, M., & Kelly, J.
- Affiliations
- The University of Adelaide (AU)
- Flinders University (AU)
- Corresponding author
- Davies, Ellen L.
- ORCID
- Venue
- Journal of Advanced Nursing
- Publisher
- Wiley
- Published
- 2022-11-03
- Volume
- 79
- Issue
- 1
- Pages
- 83-100
- ISSN
- 0309-2402 (ISSN-L)
- 1365-2648
- PMC
- PMC10099758
- OpenAlex
- W4308185837
- Cited by
- 211
- References
- 95
- Citations by year
- 2026: 95 · 2025: 65 · 2024: 39 · 2023: 10 · 2022: 1
- FWCI
- 5.56
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Advanced Nursing (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by-nc)
- Topics
- Health Sciences › Health Professions › General Health Professions › Patient Satisfaction in Healthcare
- Health Sciences › Health Professions › General Health Professions › Mental Health and Patient Involvement
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
- Keywords
- patient journey mapping, patient experience, health services, reporting quality, reporting guidelines, patient-centered care, mapping methodology, care pathways
- MeSH terms
- Delivery of Health Care, Health Personnel, Humans, Patients
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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