Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
1.
PLoS One ; 17(10): e0276719, 2022.
Article in English | MEDLINE | ID: mdl-36282840

ABSTRACT

OnkoNetwork is a patient navigation program established in the Moritz Kaposi General Hospital to improve the timeliness and completeness of cancer investigations and treatment. The H2020 SELFIE consortium selected OnkoNetwork as a promising integrated care initiative in Hungary and conducted a multicriteria decision analysis based on health, patient experience, and cost outcomes. In this paper, a more detailed analysis of clinical impacts is provided in the largest subgroup, non-small cell lung cancer (NSCLC) patients. A retrospective cohort study was conducted, enrolling new cancer suspect patients with subsequently confirmed NSCLC in two annual periods, before and after OnkoNetwork implementation (control and intervention cohorts, respectively). To control for selection bias and confounding, baseline balance was improved via propensity score weighting. Overall survival was analyzed in univariate and multivariate weighted Cox regression models and the effect was further characterized in a counterfactual analysis. Our analysis included 123 intervention and 173 control NSCLC patients from early to advanced stage, with significant between-cohort baseline differences. The propensity score-based weighting resulted in good baseline balance. A large survival benefit was observed in the intervention cohort, and intervention was an independent predictor of longer survival in a multivariate analysis when all baseline characteristics were included (HR = 0.63, p = 0.039). When post-baseline variables were included in the model, belonging to the intervention cohort was not an independent predictor of survival, but the survival benefit was explained by slightly better stage distribution and ECOG status at treatment initiation, together with trends for broader use of PET-CT and higher resectability rate. In conclusion, patient navigation is a valuable tool to improve cancer outcomes by facilitating more timely and complete cancer diagnostics. Contradictory evidence in the literature may be explained by common sources of bias, including the wait-time paradox and adjustment to intermediate outcomes.


Subject(s)
Carcinoma, Non-Small-Cell Lung , Lung Neoplasms , Patient Navigation , Humans , Carcinoma, Non-Small-Cell Lung/therapy , Carcinoma, Non-Small-Cell Lung/drug therapy , Propensity Score , Lung Neoplasms/therapy , Lung Neoplasms/drug therapy , Retrospective Studies , Positron Emission Tomography Computed Tomography , Neoplasm Staging , Cohort Studies
2.
BMC Health Serv Res ; 19(1): 131, 2019 Feb 21.
Article in English | MEDLINE | ID: mdl-30791917

ABSTRACT

BACKGROUND: OnkoNetwork is a recently established integrated care model with a personalized pathway system to manage patients with first suspect of a solid tumour in secondary care, that evolved as a regional initiative in Hungary. The primary aim of OnkoNetwork is the improvement of clinical outcomes via timely access to quality assured and defragmented healthcare services. The Horizon 2020 funded SELFIE project has selected OnkoNetwork for in-depth qualitative and quantitative evaluation. The aim of this study was to provide a qualitative evaluation of OnkoNetwork along the six components of the SELFIE conceptual framework: 1) service delivery, 2) leadership and governance, 3) workforce, 4) financing, 5) technologies and medical products, and 6) information and research. METHODS: Analysis of published and grey programme documentation, followed by 20 semi-structured interviews with representatives of programme initiators, general and financial managers, involved physicians and non-physician professionals, patients and their informal caregivers. Transcripts of all interviews were analysed by Mayring's content analysis method by two independent researchers. RESULTS: This study yielded the first comprehensive description of the programme. OnkoNetwork is a blue dahila in Central and Eastern Europe, providing timely and quality-assured healthcare services for the target patients by personalized patient path monitoring and management in a financially sustainable manner without macro-level financing of its operation. Innovative professional roles were implemented for non-physicians and physicians, and a supporting information technology application was developed. CONCLUSIONS: This paper provides a systematic description of OnkoNetwork on the six components of the SELFIE conceptual framework for integrated care in multimorbidity to understand how and why OnkoNetwork was implemented and cares (better) for its patients. Because integrated care models are designed and adjusted to their specific local needs and context, those few successful and sustainable models that were established in Central and Eastern European countries represent important benchmarks for other initiatives in this region. Experience with OnkoNetwork during its planning, implementation and operation including the description of key success factors and barriers as perceived by various stakeholder groups, may support the development of further integrated care models especially in countries with similar economic status and healthcare settings.


Subject(s)
Delivery of Health Care, Integrated/organization & administration , Early Detection of Cancer/methods , Neoplasms/therapy , Patient-Centered Care/organization & administration , Humans , Multimorbidity , Neoplasms/diagnosis , Program Development , Qualitative Research
SELECTION OF CITATIONS
SEARCH DETAIL
...