Evidence map›Paper›PMID 42675492›Full record

ArticleBMC health services research2026

Development of a patient journey map for diabetic retinopathy: exploring evidence from qualitative research.

Nan Wang, Rong Wei, Guangcun Liu, Jianxin Li, Paulo Moreira

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Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nan Wang *Department of Trauma Center, Olympic Sports Center Campus, Ward 1, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Rong WeiDepartment of Nursing, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.
Guangcun Liu *Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.
Jianxin LiDepartment of Nursing, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China. 8977304661@qq.com.
Paulo MoreiraInternational Healthcare Management Research and Development Centre (IHM-RDC) at the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China. jpm2030@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe World Health Organization has emphasized people-centered health, shifting focus from disease to patient needs. Patient Journey Mapping has emerged as a valuable methodological approach to support healthcare and nursing management by visualizing patient experiences and identifying service improvement opportunities. Despite extensive clinical research on diabetic retinopathy (DR), the phases and dimensions of its healthcare management process remain poorly understood. This study aimed to: (a) synthesize existing qualitative evidence on the experiences, emotions, and healthcare needs of persons with DR across screening, perioperative, and extended treatment stages; (b) conduct semi-structured interviews to contextualize and enrich the synthesized evidence; and (c) develop an integrated Patient Journey Map to inform tailored healthcare interventions.

methodsThis study employed a two-phase qualitative evidence mapping and interview design. Phase 1 comprised a narrative literature review with systematic search to map existing qualitative evidence, with data analyzed using thematic synthesis. Phase 2 involved semi-structured interviews with 13 persons with DR at a Chinese university hospital, with data analyzed using qualitative content analysis. Literature and interview findings were integrated through triangulation to construct a comprehensive Patient Journey Map. Quality was assessed using CASP and GRADE-CERQual; reporting followed ENTREQ guidelines.

resultsTwenty-five studies were included, describing patient experiences across screening, perioperative, and post-acute care phases, forming a preliminary framework. Interviews with 13 persons with DR enriched these findings and established a complete journey trajectory.

conclusionsThe proposed Patient Journey Map visually illustrates patient experiences and behaviors across the care continuum. This evidence provides a theoretical foundation for developing tailored diabetes care recommendations based on individual needs. Patient Journey Mapping contributes to improving healthcare management processes and supports healthcare managers in optimizing service delivery. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Diabetic RetinopathyAgedFemaleHumansInterviews as TopicMaleMiddle AgedPatient-Centered CareQualitative ResearchDiabetic retinopathyHealthcare managementPatient journey mappingQualitative researchSymptoms management

Identifiers

PMID42675492
PMCPMC13528139

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.