Patient Satisfaction with Outpatient Facilities: A Cross-Cluster Analysis of Health-System Typologies

Abstract Patient satisfaction with outpatient medical care is a key indicator of health system performance. During the COVID-19 pandemic, satisfaction was likely influenced by both systemic healthcare models and individual vulnerabilities. This study compares satisfaction across three European health system clusters-Bismarck, Beveridge, and Mixed/Transitional-and identifies individual-level predictors of satisfaction. Data were drawn from 26,789 respondents in the SHARE Wave 8 COVID-19 Survey (excluding Israel). Countries were grouped into Bismarck (n ≈ 9,000), Beveridge (n ≈ 7,000), and Mixed/Transitional (n ≈ 11,000) clusters. Satisfaction with outpatient care (caq122_) was analyzed using the Kruskal-Wallis test and Bonferroni-adjusted Mann-Whitney U tests. Multinomial logistic regression assessed predictors of satisfaction levels: “very dissatisfied,” “somewhat dissatisfied,” and “very satisfied” (reference: “somewhat satisfied"). Predictors included subjective health, mental health, technology use, social support, income stability, comorbidities, home care, financial support, COVID status, vaccination, age, and sex. Significant differences in satisfaction were found across clusters (χ²(2) = 537.29, p < .001). Bismarck countries showed the highest satisfaction, Beveridge the lowest (all pairwise p < .05). Regression results showed that testing positive for COVID-19 predicted greater dissatisfaction (OR = 1.42, p = .013). Poor subjective or mental health, low technology use, and weak social support also increased dissatisfaction. High satisfaction was linked to good health, income stability, absence of depression, access to care, and vaccination. Outpatient care satisfaction during COVID-19 varied by European health system type. Individual factors-especially health status, mental well-being, and resource access-strongly influenced satisfaction. Findings support the need for context-sensitive reforms and targeted support for vulnerable patients. Key messages • This study compares satisfaction across three European health-system clusters - Bismarck, Beveridge, and Mixed/Transitional - and identifies predictors of satisfaction using individual-level data. • Individual-level factors - particularly health status, mental well-being, and access to resources - strongly influenced perceptions.

Institutions

Publication Details

Journal
European Journal of Public Health
Published
2025-10-01
DOI
https://doi.org/10.1093/eurpub/ckaf161.1599
Primary Topic
Transport and Logistics Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Patient Satisfaction with Outpatient Facilities: A Cross-Cluster Analysis of Health-System Typologies

European Journal of Public Health
Transport and Logistics Innovations
article

Patient Satisfaction with Outpatient Facilities: A Cross-Cluster Analysis of Health-System Typologies

article en

Abstract

Abstract Patient satisfaction with outpatient medical care is a key indicator of health system performance. During the COVID-19 pandemic, satisfaction was likely influenced by both systemic healthcare models and individual vulnerabilities. This study compares satisfaction across three European health system clusters-Bismarck, Beveridge, and Mixed/Transitional-and identifies individual-level predictors of satisfaction. Data were drawn from 26,789 respondents in the SHARE Wave 8 COVID-19 Survey (excluding Israel). Countries were grouped into Bismarck (n ≈ 9,000), Beveridge (n ≈ 7,000), and Mixed/Transitional (n ≈ 11,000) clusters. Satisfaction with outpatient care (caq122_) was analyzed using the Kruskal-Wallis test and Bonferroni-adjusted Mann-Whitney U tests. Multinomial logistic regression assessed predictors of satisfaction levels: “very dissatisfied,” “somewhat dissatisfied,” and “very satisfied” (reference: “somewhat satisfied"). Predictors included subjective health, mental health, technology use, social support, income stability, comorbidities, home care, financial support, COVID status, vaccination, age, and sex. Significant differences in satisfaction were found across clusters (χ²(2) = 537.29, p < .001). Bismarck countries showed the highest satisfaction, Beveridge the lowest (all pairwise p < .05). Regression results showed that testing positive for COVID-19 predicted greater dissatisfaction (OR = 1.42, p = .013). Poor subjective or mental health, low technology use, and weak social support also increased dissatisfaction. High satisfaction was linked to good health, income stability, absence of depression, access to care, and vaccination. Outpatient care satisfaction during COVID-19 varied by European health system type. Individual factors-especially health status, mental well-being, and resource access-strongly influenced satisfaction. Findings support the need for context-sensitive reforms and targeted support for vulnerable patients. Key messages • This study compares satisfaction across three European health-system clusters - Bismarck, Beveridge, and Mixed/Transitional - and identifies predictors of satisfaction using individual-level data. • Individual-level factors - particularly health status, mental well-being, and access to resources - strongly influenced perceptions.

European Journal of Public HealthVol. 35(Supplement_4)
Texas Tech University (US), Texas Tech University Health Sciences Center (US)
No poverty
Openalex Percentile: Top 40%
Transport and Logistics Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.