ArticleHealth expectations : an international journal of public participation in health care and health policy2021
A nationwide participatory programme to measure person-centred hospital care in Italy: Results and implications for continuous improvement.
Article in Health expectations : an international journal of public participation in health care and health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Conceptualizing the Humanized Hospital: A Multidimensional Textual Data Analysis from Undergraduate Nursing Students' Perspectives.Nursing reports (Pavia, Italy) · 2026Article
- A framework for the continuous monitoring of person-centred hospital care: validation of a checklist for participatory service improvement.Archives of public health = Archives belges de sante publique · 2025Article
- A nationwide participatory programme to measure person-centred hospital care in Italy: Results and implications for continuous improvement.Health expectations : an international journal of public participation in health care and health policy · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatient-centredness has been targeted by the Italian government as a key theme for the future development of health services.
objectiveMeasuring patient-centred health services in partnership with citizens, health professionals and decision makers.
designNational participatory survey in a large test set of hospitals at national level. SETTING AND
participantsA total of 387 hospital visits conducted in 16 Italian regions by over 1,500 citizens and health professionals during 2017-2018. MAIN VARIABLES AND OUTCOME MEASURES: An ad hoc checklist was used to assess person-centredness in hospital care through 243 items, grouped in 4 main areas, 12 sub-areas and 29 person-centred criteria (scored 0-10). GEE linear multivariate regression was used to explore the relation between hospital characteristics and person-centredness.
resultsPerson-centred scores were moderately high, with substantial variation overall (median score: 7.0, range: 3.2-9.5) and by area (Care Processes: 6.8, 2.0-9.8; Access: 7.4, 2.7-9.7; Transparency: 6.7, 3.4-9.5 and Relationship: 7.3, 0.8-10.0). Multivariate regression found higher scores for increasing volumes of activity (quartile increase: +0.21; 95% CI: 0.13, 0.29) and lower scores in the south and islands (-1.03; -1.62,-0.45). DISCUSSION: The checklist has been applied successfully by over 1,500 collaborators who assessed hospitals in 16 distinct Regions and Autonomous Provinces of Italy. Despite an overall positive mark, all scores were highly variable by location and hospital characteristics. CONCLUSION AND PATIENT OR PUBLIC CONTRIBUTION: A national participatory programme to improve patient-centredness in Italian hospitals highlighted critical areas with the direct input of citizens.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.