Cited by 98Palliative Care and End-of-Life IssuesPalliative and Oncologic CarePatient Satisfaction in Healthcare

Journey mapping as a novel approach to healthcare: a qualitative mixed methods study in palliative care

Open access
Ly, Stephanie, Runacres, Fiona, Poon, Peter·2021·BMC Health Services Research

Abstract

Background: Journey mapping involves the creation of visual narrative timelines depicting the multidimensional relationship between a consumer and a service. The use of journey maps in medical research is a novel and innovative approach to understanding patient healthcare encounters. Objectives: To determine possible applications of journey mapping in medical research and the clinical setting. Specialist palliative care services were selected as the model to evaluate this paradigm, as there are numerous evidence gaps and inconsistencies in the delivery of care that may be addressed using this tool. Methods: A purposive convenience sample of specialist palliative care providers from the Supportive and Palliative Care unit of a major Australian tertiary health service were invited to evaluate journey maps illustrating the final year of life of inpatient palliative care patients. Sixteen maps were purposively selected from a sample of 104 consecutive patients. This study utilised a qualitative mixed-methods approach, incorporating a modified Delphi technique and thematic analysis in an online questionnaire. Results: Our thematic and Delphi analyses were congruent, with consensus findings consistent with emerging themes. Journey maps provided a holistic patient-centred perspective of care that characterised healthcare interactions within a longitudinal trajectory. Through these journey maps, participants were able to identify barriers to effective palliative care and opportunities to improve care delivery by observing patterns of patient function and healthcare encounters over multiple settings. Conclusions: This unique qualitative study noted many promising applications of the journey mapping suitable for extrapolation outside of the palliative care setting as a review and audit tool, or a mechanism for providing proactive patient-centred care. This is particularly significant as machine learning and big data is increasingly applied to healthcare.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s12913-021-06934-y

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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 [15]

    The Discussion (page unavailable) reports that journey maps helped clinicians understand patient experiences and identify gaps in care and opportunities for change. The Results describe possible applications for improving care and service planning, but do not show that this study improved care quality or informed an implemented service redesign. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ly, S., Runacres, F., & Poon, P.
Affiliations
  • Monash University (AU)
  • Monash Medical Centre (AU)
Corresponding author
Poon, Peter
Venue
BMC Health Services Research
Published
2021-09-04
Volume
21
Issue
1
Pages
915-915
ISSN
1472-6963 (ISSN-L)
OpenAlex
W3196619312
Cited by
98
References
17
Citations by year
2026: 34 · 2025: 30 · 2024: 16 · 2023: 12 · 2022: 6
FWCI
7.35
Type
journal article
Language
en
Open access
Locations
  • BMC Health Services Research (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative Care and End-of-Life Issues
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative and Oncologic Care
  • Health Sciences › Health Professions › General Health Professions › Patient Satisfaction in Healthcare
Keywords
journey mapping, palliative care, patient-centered care, end-of-life care, health care delivery, barriers to palliative care, patient experience, care pathways, healthcare encounters, audit tool, specialist palliative care
MeSH terms
Australia, Delivery of Health Care, Humans, Palliative Care, Qualitative Research, Hospice and Palliative Care Nursing

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 ›

Are you an author, or do you see a problem with this page? Request a review