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Cited by 21Patient Satisfaction in HealthcareCancer survivorship and careSentiment Analysis and Opinion Mining

The DOI matches its Crossref record; 22 of the 24 references it cites were found in a registry or an index.

Experience of Ambulatory Cancer Care: Understanding Patients' Perspectives of Quality Using Sentiment Analysis

Vehviläinen-Julkunen, Katri, Turpeinen, Saija, Kvist, Tarja, Ryden-Kortelainen, Margaretha, Nelimarkka, Siiri, Enshaeifar, Shirin, Faithfull, Sara, for INEXCA Consortium·2021·Cancer Nursing
DOI 10.1097/ncc.0000000000000845
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Abstract

BACKGROUND: The move of cancer treatment into the outpatient setting can impact patient experience. Understanding how service delivery change impacts different people requires service feedback to inform future delivery development. The use of patient experience questionnaires often generates large amount of free-text data that are difficult to analyze. OBJECTIVE: The aim of this study was to describe a proof-of-concept study exploring the experiences and perceptions of people undergoing cancer treatment, using novel analysis techniques to provide rapid free-text data analysis. METHOD: This was a mixed-methods qualitative analysis from qualitative questions gathered in Finland using the National Cancer Patient Experience Survey (n = 92 of 208 patients) and supplemented with 7 focus groups (31 people with cancer). Data were analyzed using natural language processing, via an automated sentiment analysis algorithm and supported with focus groups to inform the initial thematic analysis. RESULTS: Participants were on average 65 years of age. Of the 196 free-text comments, 121 (73.6%) were positive about patient experiences and 75 (38.5%) negative with suggestions for improvement. CONCLUSION: Communication between patients and clinicians was an indicator of quality, and lack of psychological support was a barrier to quality care provision. The methodology of using sentiment analysis for free content to review quality was demonstrated through this study as a novel and feasible method to look at large-scale qualitative data. IMPLICATIONS FOR PRACTICE: Using the free content on experience of care questionnaire to review gaps or needs in services is valuable in developing future practice.

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Crossref · 10.1097/ncc.0000000000000845

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Citations

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2 of the 24 references couldn’t be matched to a known paper.

Research works printed but not linked: 5

  1. 2014, World Cancer Report 2014 [Online]
  2. 2015, Health at a Glance 2015: OECD Indicators
  3. 2013, Perspectives of quality care in cancer treatment: a review of the literature, Am Heal Drug Benefits, 6, 321
  4. 2015, Health interventions in ambulatory cancer care centres, Environ Scan, 1
  5. 2005, Survey on multiclass classification methods, Neural Netw, 19, 1

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Metadata

Authors
Vehviläinen-Julkunen, K., Turpeinen, S., Kvist, T., Ryden-Kortelainen, M., Nelimarkka, S., Enshaeifar, S., Faithfull, S., & for INEXCA Consortium
Affiliations
University of Eastern Finland (FI)
Corresponding author
Vehviläinen-Julkunen, Katri
ORCID
Venue
Cancer Nursing
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2020-06-29
Volume
44
Issue
6
Pages
E331-E338
ISSN
  • 0162-220X (ISSN-L)
  • 1538-9804
DOI
10.1097/ncc.0000000000000845
OpenAlex
W3039270733
Cited by
21
References
24
Citations by year
2026: 3 · 2025: 3 · 2024: 5 · 2023: 3 · 2022: 3 · 2021: 3 · 2020: 1
FWCI
2.61
Type
journal article
Language
en
Open access
closed
Locations
  • Cancer Nursing (publishedVersion)
  • PubMed (publishedVersion)
  • Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Patient Satisfaction in Healthcare
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
  • Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
Keywords
ambulatory cancer care, outpatient cancer treatment, patient experience, sentiment analysis, natural language processing, patient-clinician communication, psychological support, quality of care, service delivery change
MeSH terms
Ambulatory Care Facilities, Communication, Humans, Neoplasms, Surveys and Questionnaires, Patient Satisfaction

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