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Background  The main purpose of health service systems is to improve patients’ quality of life (QoL) and to ensure equitable access to health services. However, in reality, nearly half of knee osteoarthritis (OA) patients present to the health system do not have access to health services, and their QoL remains poor. These circumstances raise important questions about what (if any) factors can improve health care accessibility and QoL for knee OA patients.    Methods  A multicenter, cross-sectional survey was performed with 618 knee OA patients who received care at 16 hospitals in Thailand. Structural equation modeling (SEM) was conducted to investigate the association of health service factors and patient factors with access to health services and QoL.    Results  The QoL of knee OA patients was very poor (mean score = 33.8). Only 2.1% of the knee OA patients found it easy to obtain medical care when needed. Approximately 39.4% of them were able to access appropriate interventions before being referred for knee replacement. More than 85% of orthopedic health services had implemented chronic disease management (CDM) policy into practice. However, the implementation was basic, with an average score of 5.9. SEM showed that QoL was determined by both health system factors (β = .10,  p  = .01) and patient factors (β = .29,  p  = .00 for self-management and β = −.49, p = .00 for disease factors). Access to health services was determined by self-management (β = .10, p = .01), but it was not significantly associated with QoL (β = .00,  p  = 1.0).    Conclusions  This study provides compelling information about self-management, access to health services and QoL from the individual and health service system perspectives. Furthermore, it identifies a need to develop health services that are better attuned to the patient’s background, such as socioeconomic status, disease severity, and self-management skills.

Factors associated with access to health services and quality of life in knee osteoarthritis patients: a multilevel cross-sectional study