The effectiveness of interventions promoting household energy-efficiency investments depends on the diversity of the target audience. In the context of home energy retrofit, where decision-making is complex and influenced by multiple market and behavioural failures, few studies have rigorously analysed real-world homeowner attitudes and behaviours that enable meaningful policy implications. This study addresses this gap by applying model-based 3-step latent class analyses (LCA) to a sample of 1,011 Dutch homeowners with actual retrofit experience, focusing particularly on various motivations and barriers of home energy retrofit. Five motivation segments and three barrier segments are identified, separately. The motivation segments include balanced motivation homeowners (26.7 %), individual utility maximisers (6.8 %), immediate utility seekers (14.7 %), environmental and immediate utility maximisers (6.3 %), and the environmental-financial sensitive majority (45.4 %). The barrier segments are labelled as balanced financial and feasibility barriers (72.3 %), lack of demand (24.3 %), and prominent non-financial barriers (3.4 %). Both segmentation solutions demonstrate high classification accuracy and meaningful substantive interpretation. Furthermore, the segments for motivations and barriers show only marginal correlations, offering complementary insights. The findings enhance the understanding of homeowner heterogeneity in the energy retrofit market and support the design of more targeted incentives, information, and de-hassling programmes.

Purpose: Total knee arthroplasty (TKA) is usually effective, although not all patients have satisfactory outcomes. This assumes distinct recovery patterns might exist. Little attention has been paid to determine which patients have worse outcomes. This study attempts to distinguish specific recovery patterns using the Oxford knee score (OKS) during the first postoperative year. The secondary aim was to explore predictors of less favourable recovery patterns. Methods: Analysis of patients in the Dutch Arthroplasty Register (LROI) with unilateral primary TKA. Data collected up to one year postoperative was used. To identify subgroups of patients based on OKS, latent class growth modeling (LCGM) was used. Moreover, multivariable multinomial logistic regression analysis was used to explore predictors of class membership. Results: 809 Patients completed three OKS during the first year postoperative and were included. LCGM identified 3 groups of patients; ‘high risers’ (most improvement during first 6-months, good 12-month scores 77%), ‘gradual progressors’ (continuous improvement during the first year 13%) and ‘non responders’ (initial improvement and subsequent deterioration to baseline score 10%). Predictors of least favourable class membership (OR, 95%CI) are EQ-5D items: VAS health score (0.83, 0.73–0.95), selfcare (2.22, 1.09–4.54) and anxiety/depression (2.45, 1.33–4.52). Conclusion: Three recovery patterns after TKA were distinguished; ‘high risers', ‘gradual progressors' and ‘non responders'. Worse score on EQ-5D items VAS health, selfcare, and anxiety/depression were correlated with the least favourable ‘non responders’ recovery pattern.