ArticleJournal of patient experience2022
Studying the Experience of Care Through Latent Class Analysis: An Application to Italian Neonatal Intensive Care Units.
Article in Journal of patient experience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Person-Centered Exploration of Neonatal Intensive Care Unit Stressors and Social Support in Parenting Very Preterm Infants: A Cross-Sectional Study on Risks and Resources in Italy and Portugal.Children (Basel, Switzerland) · 2026Article
- A global cross-sectional survey on neonatal analgosedation: unveiling global trends and challenges through latent class analysis.European journal of pediatrics · 2025Article
- The people-centered care and inpatients' perceived experience in China: a nationwide cross-sectional study.International journal for equity in health · 2025Article
- Unlocking Patient and Professional Value Through Patient Experience: Preliminary Development and Validation of the Patient Experience Assessment of In-Center Hemodialysis (PEACHD) Survey.Journal of patient experience · 2025Article
- Patient Experience of Integrated Care: Findings from a Cross-Sectional Study Involving People with Rheumatic and Musculoskeletal Diseases.International journal of integrated careArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Though many data on the experience of care of patients and caregivers are collected, they are rarely used to improve the quality of health care delivery. One of the main causes is the widespread struggle in interpreting and enhancing these data, requiring the introduction of new techniques to extract intelligible, meaningful, and actionable information. This research explores the potentiality of the latent class analysis (LCA) statistical model in studying experience data. A cross-sectional survey was administered to 482 parents of infants hospitalized in several Italian neonatal intensive care units. Through a 3-step LCA, four subgroups of parents with specific experience profiles, sociodemographic characteristics, and levels of satisfaction were identified. These were composed of parents who reported (1) a positive experience (36%), (2) problematic communication with unit staff (30%), (3) limited access to the unit and poor participation in their baby's care (26%), and (4) a negative experience (8%). Through its explorative segmentation, LCA can provide valuable information to design quality improvement interventions tailored to the specific needs and concerns of each subgroup.
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Registered trials
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